Clearing method and system suitable for completing renewable energy quota index
1. A method of adaptive emptying for completion of renewable energy quota metrics, the method comprising:
acquiring energy demand and demand price curves declared by each power buyer according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each power buyer according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the settled electric quantity and the electric price of each power buyer and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
2. The method of claim 1, wherein the power type comprises: hydroelectric, non-aqueous renewable energy, and other conventional energy sources.
3. The method of claim 2, wherein the establishing of the power market clearing model comprises:
the method comprises the steps of constructing an objective function by taking the maximization of the sum of social benefits considering hydropower, non-water renewable energy and other conventional energy power as a target;
and restricting the target function by using the power selling amount restriction, the power purchasing amount restriction and the power balance restriction corresponding to the power of the hydropower, the non-water renewable energy and other conventional energy as restriction conditions to obtain a power market clearing model.
4. The method of claim 3, wherein the objective function is expressed as follows:
wherein f is the objective function value,andrespectively providing a non-water renewable energy price, a water and electricity price and a non-renewable energy power price for the ith electricity purchasing party in the b th quoted price section,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andrespectively the price of the non-water renewable energy source, the price of water and electricity and the price of the non-renewable energy source power which are cleared by the jth power generation enterprise in the s quotation section,andclear non-water renewable energy, hydropower and non-renewable energy power are obtained in the S price section for the J-th power generation enterprise respectively, I is (1,2,3, …, I), I is the total number of power purchasing parties, B is (1,2,3, …, B), B is the total price section number corresponding to the power purchasing parties, J is (1,2,3, …, J), J is the total number of the power generation enterprise, S is (1,2,3, S), and S is the total price section number corresponding to the power generation enterprise.
5. The method of claim 2, wherein the power purchase constraint is expressed as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andthe method comprises the steps of reporting the electricity purchasing requirements of non-water renewable energy sources, the electricity purchasing requirements of water and electricity and the electricity purchasing requirements of non-renewable energy source electricity in the B-th quoted section by the ith electricity purchasing party, wherein I is (1,2, 3.., I), I is the total number of the electricity purchasing parties, B is (1,2, 3.., B), and B is the total quoted section number corresponding to the electricity purchasing parties.
6. The method of claim 2, wherein the sales power constraint is expressed as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, water and electricity and non-renewable energy electric power for the jth power generation enterprise in the s quotation section,andthe method comprises the steps that the power selling requirements of non-water renewable energy sources, the power selling requirements of water and electricity and the power selling requirements of non-renewable energy source electricity which are declared by the jth power generation enterprise in the S quoting section are respectively set, J is (1,2, 3.., J), J is the total number of the power generation enterprises, S is (1,2, 3.., S), and S is the total quoting section number corresponding to the power generation enterprises.
7. The method of claim 2, wherein the power balance constraint is expressed as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andclear non-water renewable energy, hydropower and non-renewable energy power are obtained in the S price quotation section for the J-th power generation enterprise respectively, wherein I is (1,2,3, …, I), I is the total number of power purchasing parties, B is (1,2,3, …, B), B is the total price quotation section number corresponding to the power purchasing parties, J is (1,2,3, …, J), J is the total number of power generation enterprises, S is (1,2,3, …, S), and S is the total price quotation section number corresponding to the power generation enterprise.
8. The method of claim 1, wherein the solving of the power market clearing model comprises:
and solving the clearing model of the power market by utilizing matlab through a default solving algorithm to obtain the clearing success electric quantity and the price of the power according to each power type of each power supplier and each power generation enterprise in each quotation section at each moment.
9. The method of claim 1, wherein the energy demand and demand price curves declared by each power supplier at each time point according to each power type comprise:
each power purchasing party regularly declares an energy demand and demand price curve according to each time period of each power type in a preset time domain;
the power curve and the power selling price curve declared by each power generation enterprise according to each power supply type at each moment comprise:
and each power generation enterprise regularly declares a power curve and a power selling price curve according to each time period of each power supply type in a preset time domain.
10. A closeout system adapted to completion of a renewable energy quota indicator, the system comprising:
the acquisition module is used for acquiring energy demand and demand price curves declared by each power purchasing party according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
the solving module is used for solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each electricity purchasing party according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the clear transaction electric quantity and the electric power price of each electricity purchasing party and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
Background
With the continuous promotion of electric power marketization, electric power users gradually participate in the electric power market, and the transactions are achieved in the electric power market through centralized transactions (including centralized bidding, listing and rolling matching) and bilateral negotiation and the like, so that the traditional resource optimization configuration mode of power grid enterprise general purchase and total sale is changed. The power consumer hopes to purchase renewable energy power (including water and electricity and non-water renewable energy) for the purposes of completing assessment indexes, erecting using a clean electric pole and the like.
The existing market transaction mechanism and model are market transaction mechanisms and models which do not distinguish power supply types, water and electricity, non-water renewable energy and other conventional energy are not distinguished in market declaration and market clearing, trade is carried out according to the total quantity of electric quantity of various types of power supplies, and a user cannot select a specific electricity purchasing type source. The existing market trading mechanism and model corresponding mathematical optimization model are as follows:
(1) market declaration:
and (3) reporting to a power purchasing party: power demand and price curves. And (3) reporting of power generation enterprises: a generated power curve and a price curve.
(2) An objective function: maximize social welfare, i.e. maximize: the power supply of the power purchasing side assembly correspondingly declares the power charge-the power supply of the power generation enterprise assembly correspondingly declares the power charge (-power transmission charge):
in the formula (I), the compound is shown in the specification,for the power purchasing party i to obtain the clear power purchasing power in each price quotation section b,respectively their corresponding prices. I is 1 … I, and I power purchasing parties are provided; b-1 … B, for a total of B offer segments (e.g., 5, 10 for B).For the power generation enterprise j to sell power in each quoted section s,respectively their corresponding prices. J is 1 … J, and J power generation enterprises are provided; s-1 … S, for a total of S bid segments (e.g., S takes 5, 10).
(3) Constraint conditions are as follows: the constraint conditions comprise an electricity purchasing constraint, an electricity selling constraint and a power balance constraint, and specifically comprise the following steps:
1) and (3) electric quantity purchasing restraint:
2) and (4) restricting the electricity selling quantity:
3) and power balance constraint:
(3) and (3) clearing algorithm: the electric power market clearing model of the objective function (1) and the constraint conditions (2) - (4) is a typical linear programming and can be efficiently solved through commercial software such as matlab. And solving the clear electricity selling power of the power generation enterprise in each quotation section, the clear electricity purchasing power of the electricity purchasing party in each quotation section and social welfare (and an objective function value).
The existing market trading mechanism and model are market trading mechanisms and models which do not distinguish power supply types, and have the main defects that: firstly, under the mode of electric power centralized bidding, the requirement of an electricity purchaser for actively purchasing non-water renewable energy sources and water and electricity cannot be met, and according to the principle of 'equity responsibility equivalence', the quota index of the total amount of the non-water renewable energy sources and the renewable energy sources cannot be guaranteed to be completed by the power consumer through market transaction, so that the quota index is difficult to be really implemented to the power consumer, and the promotion effect of a renewable energy power consumption responsibility weight policy on the renewable energy power consumption is influenced; secondly, the power supply cannot be distinguished, so that the social welfare is reduced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a clearing method adaptive to the achievement of a renewable energy quota index, which comprises the following steps:
acquiring energy demand and demand price curves declared by each power buyer according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each power buyer according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the settled electric quantity and the electric price of each power buyer and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
Preferably, the power supply types include: hydroelectric, non-aqueous renewable energy, and other conventional energy sources.
Further, the establishment of the power market clearing model comprises:
the method comprises the steps of constructing an objective function by taking the maximization of the sum of social benefits considering hydropower, non-water renewable energy and other conventional energy power as a target;
and restricting the target function by using the power selling amount restriction, the power purchasing amount restriction and the power balance restriction corresponding to the power of the hydropower, the non-water renewable energy and other conventional energy as restriction conditions to obtain a power market clearing model.
Further, the expression of the objective function is as follows:
wherein f is the objective function value,andrespectively providing a non-water renewable energy price, a water and electricity price and a non-renewable energy power price for the ith electricity purchasing party in the b th quoted price section,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andrespectively the price of the non-water renewable energy source, the price of water and electricity and the price of the non-renewable energy source power which are cleared by the jth power generation enterprise in the s quotation section,andclear non-water renewable energy, hydropower and non-renewable energy power are obtained in the S price section for the J-th power generation enterprise respectively, I is (1,2,3, …, I), I is the total number of power purchasing parties, B is (1,2,3, …, B), B is the total price section number corresponding to the power purchasing parties, J is (1,2,3, …, J), J is the total number of the power generation enterprise, S is (1,2,3, S), and S is the total price section number corresponding to the power generation enterprise.
Further, the electricity purchasing amount constraint expression is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andthe total number of the electricity purchasing parties is (1,2,3, …, I), I is the total number of the electricity purchasing parties, (1,2,3, …, B), and B is the total number of the electricity purchasing parties.
Further, the expression of the power selling constraint is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, water and electricity and non-renewable energy electric power for the jth power generation enterprise in the s quotation section,andthe method comprises the steps that the power selling requirements of non-water renewable energy sources, the power selling requirements of water and electricity and the power selling requirements of non-renewable energy source electricity which are declared by the jth power generation enterprise in the S quoting section are respectively set, J is (1,2, 3.., J), J is the total number of the power generation enterprises, S is (1,2, 3.., S), and S is the total quoting section number corresponding to the power generation enterprises.
Further, the expression of the power balance constraint is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andclear non-water renewable energy, hydropower and non-renewable energy power are obtained in the S price section for the J-th power generation enterprise respectively, I is (1,2,3, …, I), I is the total number of power purchasing parties, B is (1,2,3, …, B), B is the total price section number corresponding to the power purchasing parties, J is (1,2,3, …, J), J is the total number of the power generation enterprise, S is (1,2,3, S), and S is the total price section number corresponding to the power generation enterprise.
Preferably, the solving process of the power market clearing model includes:
and solving the clearing model of the power market by utilizing matlab through a default solving algorithm to obtain the clearing success electric quantity and the price of the power according to each power type of each power supplier and each power generation enterprise in each quotation section at each moment.
Preferably, the energy demand and demand price curve declared by each power supplier according to each power type at each time includes:
each power purchasing party regularly declares an energy demand and demand price curve according to each time period of each power type in a preset time domain;
the power curve and the power selling price curve declared by each power generation enterprise according to each power supply type at each moment comprise:
and each power generation enterprise regularly declares a power curve and a power selling price curve according to each time period of each power supply type in a preset time domain.
Based on the same invention concept, the invention also provides a clearing system adapting to the completion of the renewable energy quota index, which comprises:
the acquisition module is used for acquiring energy demand and demand price curves declared by each power purchasing party according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
the solving module is used for solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each electricity purchasing party according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the clear transaction electric quantity and the electric power price of each electricity purchasing party and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention provides a clearing method and a clearing system suitable for finishing a renewable energy quota index, which comprise the following steps: acquiring energy demand and demand price curves declared by each power buyer according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type; solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each power buyer according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the settled electric quantity and the electric price of each power buyer and each power generation enterprise according to each power type; the model provided by the invention can fully meet the individual requirements of power buyers on various power type indexes, provides a basis for completing various power type quota indexes for the power buyers, ensures that the renewable energy power consumption responsibility weight policy can effectively play a role, and improves the overall social welfare generated by power trading by accurately distinguishing the power types.
Drawings
FIG. 1 is a flow chart of a method for adaptive achievement of a purge based on a renewable energy quota indicator provided by the present invention;
FIG. 2 shows the electricity purchasing demand and trade clearing result of the non-water renewable energy source of the electricity purchasing province a;
FIG. 3 shows the electricity purchasing requirements and trade clearing results of the hydropower of the electricity purchasing province a;
FIG. 4 shows the electricity purchasing requirement and trade clearing result of the non-renewable energy source of the electricity purchasing province a;
FIG. 5 shows the electricity purchasing demand and trade clearing result of the non-water renewable energy source of the electricity purchasing province b;
FIG. 6 shows the electricity purchasing requirements and trade clearing results of the hydropower of the electricity purchasing province b;
FIG. 7 is the electricity purchasing demand and trade clearing result of the non-renewable energy source of the electricity purchasing province b;
FIG. 8 shows the electricity purchasing demand and trade clearing result of the non-water renewable energy source of the electricity purchasing province c;
FIG. 9 shows the electricity purchasing requirements and trade clearing results of the hydropower station of the power purchasing province c;
FIG. 10 shows the electricity purchasing demand and trade clearing result of the non-renewable energy source of the electricity purchasing province c;
FIG. 11 shows the electricity purchasing demand and trade clearing result of the non-water renewable energy source of the electricity purchasing province d;
FIG. 12 shows the electric power purchasing demand and trade clearing result of the electric power purchasing province d;
FIG. 13 shows the electricity purchasing demand and trade clearing result of the non-renewable energy source of the electricity purchasing province d;
FIG. 14 is a power purchase demand and transaction clearing result of the power purchasing province a in the conventional centralized transaction without distinguishing the power source type;
FIG. 15 is a power purchase demand and transaction clearance of the power purchasing province b in the conventional centralized transaction without distinguishing the power source type;
FIG. 16 is a power purchase demand and transaction clearing result of a power purchasing province c in a conventional centralized transaction without distinguishing the power source type;
FIG. 17 is a diagram showing a power purchase demand and a transaction clearing result of a power purchasing province d in a conventional collective transaction without distinguishing a power source type;
fig. 18 is a structural diagram of a closeout system adapted to the achievement of the renewable energy quota index provided by the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a clearing method adaptive to the achievement of a renewable energy quota index, as shown in fig. 1, the method comprises the following steps:
step 1: acquiring energy demand and demand price curves declared by each power buyer according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
step 2: solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each power buyer according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the settled electric quantity and the electric price of each power buyer and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
In the step 1, the declared content specifically includes:
market declaration:
the power purchasing party (the provincial market is the enterprise of the power purchasing and saving network) declares: hydropower, non-water renewable energy, other conventional energy power demand and price curves. The power generation enterprise (the inter-provincial market is a power selling and saving network enterprise agency) declares: hydroelectric, non-aqueous renewable energy, other conventional energy power generation power curves and price curves.
By accurately distinguishing the power supply types, the non-water renewable energy sources and the hydropower are accurately sold to the power purchasing party willing to make a high price (stronger intention), and compared with the existing market trading mechanism and model, the social welfare is further improved.
In the step 2, the pre-constructed electric power market clearing model specifically includes:
an objective function: maximize social welfare, i.e. maximize: the total electric charge is correspondingly declared for each power type transaction electric quantity of the power purchasing party-the total electric charge is correspondingly declared for each power type transaction electric quantity of the power generation enterprise (-power transmission charge). For simplicity of discussion, the patent does not consider the cost of power transmission at all. Namely:
in the formula (I), the compound is shown in the specification,respectively discharging clear non-water for power purchasing party i in each quotation section bRenewable energy, water power, non-renewable energy power,respectively their corresponding prices. I is 1 … I, and I power purchasing parties are provided; b-1 … B, for a total of B offer segments (e.g., 5, 10 for B).Respectively providing clear non-water renewable energy, water and electricity and non-renewable energy electric power for the power generation enterprise j in each quotation section s,respectively their corresponding prices. J is 1 … J, and J power generation enterprises are provided; s-1 … S, for a total of S bid segments (e.g., S takes 5, 10).
Constraint conditions are as follows: the constraint conditions comprise purchase electric quantity constraint, sale electric quantity constraint and power balance constraint of each power type, and specifically comprise the following steps:
1) and (3) electric quantity purchasing restraint:
2) and (4) restricting the electricity selling quantity:
3) and power balance constraint:
in the formula (I), the compound is shown in the specification,the electricity purchasing requirements of the non-water renewable energy sources, the water and electricity purchasing requirements and the non-renewable energy source electricity purchasing requirements declared by the ith electricity purchasing party in the b th quotation section respectively,the electricity selling requirements of the non-water renewable energy sources, the electricity selling requirements of the hydropower stations and the electricity selling requirements of the non-renewable energy source electricity which are declared by the jth power generation enterprise in the s-th quotation section are respectively set.
In the step 2, solving the electric power market clearing model specifically includes:
and (3) clearing algorithm: the power market clearing model of the objective function (5) and the constraints (6) - (14) is a typical linear programming and can be efficiently solved through commercial software such as matlab. And solving the non-water renewable energy sources, the water and the electricity, the non-renewable energy sources and the electricity selling power which are clear in each quotation section of the available power generation enterprises, the non-water renewable energy sources, the water and the electricity, the non-renewable energy sources and the electricity purchasing power which are clear in each quotation section of the available power purchasing enterprises, and social welfare (and objective function values).
The model provided by the invention can fully meet the individual requirements of the power purchaser on the non-water renewable energy sources, the water electricity and the non-renewable energy sources, provides a basis for completing the non-water renewable energy source quota index and the renewable energy source quota index for the power purchaser, and ensures that the renewable energy source power consumption responsibility weight policy can effectively play a role.
Example 2
(1) Market declaration:
suppose the transaction clearing time domain is 1h, and the time domain contains four time periods, namely four time periods of 0-15min, 15-30min, 30-45min and 45-60 min. Taking an inter-provincial electric power market centralized bidding transaction as an example, assuming that the number of power generation enterprises is 3, the declared electric quantity and the power price in each time period are shown in the following table:
TABLE 1 electric power generation enterprise a declares electric quantity (Unit: MW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
50
50
60
60
Water and electricity
0
0
0
0
Non-renewable energy source
50
50
60
60
TABLE 2 generating Enterprise a claim the price of electricity (Unit: Yuan/kW)
TABLE 3 b declaration electric quantity (Unit: MW) of power generation enterprise
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
20
20
20
30
Water and electricity
10
20
20
10
Non-renewable energy source
0
0
0
0
TABLE 4 generating enterprise b claim the price of electricity (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0.25
0.25
0.25
0.25
Water and electricity
0.2
0.2
0.2
0.2
Non-renewable energy source
0
0
0
0
TABLE 5 electric power c declaration electric quantity (Unit: MW) of power generation enterprise
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0
0
0
0
Water and electricity
20
20
20
30
Non-renewable energy source
30
30
40
40
TABLE 6 generating enterprise c declares the price of electricity (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0
0
0
0
Water and electricity
0.4
0.4
0.4
0.4
Non-renewable energy source
0.35
0.35
0.35
0.35
Assuming that the number of power purchasing economizes is 4 (the power purchasing party is a power purchasing and saving network enterprise), the declared power and the power price in each time period are shown in the following table:
TABLE 7 ELECTRICITY PURCHASE ELECTRICITY-REPORTING ELECTRICITY (UNIT: MW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
30
30
30
30
Water and electricity
10
10
10
10
Non-renewable energy source
50
50
50
50
TABLE 8 electric power purchase province a declaration electricity price (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0.65
0.65
0.65
0.65
Water and electricity
0.4
0.4
0.4
0.4
Non-renewable energy source
0.4
0.4
0.4
0.4
Meter 9 Power-purchasing province b reporting electric quantity (unit: MW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
25
25
25
25
Water and electricity
30
30
30
30
Non-renewable energy source
0
0
0
0
TABLE 10 electric power purchase province b declaration electricity price (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0.55
0.55
0.55
0.55
Water and electricity
0.5
0.5
0.5
0.5
Non-renewable energy source
0
0
0
0
Meter 11 Power-purchasing province c reporting electric quantity (unit: MW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
20
20
20
20
Water and electricity
0
0
0
0
Non-renewable energy source
60
60
60
60
TABLE 12 electric power province c applying the price of electricity (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0.6
0.6
0.6
0.6
Water and electricity
0
0
0
0
Non-renewable energy source
0.5
0.5
0.5
0.5
Meter 13 Power-purchasing province d reporting electric quantity (unit: MW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
30
30
30
30
Water and electricity
20
20
20
20
Non-renewable energy source
40
40
40
40
TABLE 14 electric power purchase province d declares the price of electricity (Unit: Yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Non-aqueous renewable energy source
0.5
0.5
0.5
0.5
Water and electricity
0.5
0.5
0.5
0.5
Non-renewable energy source
0.5
0.5
0.5
0.5
From the aspect of the market declaration of the electricity purchasing province, the electricity purchasing demand characteristics of the electricity purchasing provinces can be described, namely the preferences of non-water renewable energy sources, water and electricity and non-renewable energy sources are as follows:
and electricity purchasing province a: various power supplies are required, and the non-water renewable energy sources are willing to be purchased at high price;
and b, power purchasing province: the willingness to purchase renewable energy sources is strong, but the higher price cannot be accepted, and the demand of purchasing electricity from coal power does not exist;
and c, power purchase and power saving: the method is mainly based on coal power, and is willing to purchase non-water renewable energy at high price without the need of water power purchase;
and electricity purchasing and saving d: the demand is provided for various power supplies, but the purchase of renewable energy sources at higher cost is not willing to be paid, and the price quoted for various power supplies is the same.
(2) And (4) clearing results: and solving the market clearing model by adopting a CVX tool box of matlab to obtain a market clearing result. The declared electricity prices of the electricity selling provinces are lower than those of the electricity generating enterprises, and the declared electricity quantity of the electricity generating enterprises in each time period is far lower than the electricity purchasing demands of the electricity purchasing provinces, so that the declared electricity quantity of the electricity generating enterprises is totally clear. The transaction clearing result for each power purchasing province is shown in fig. 2 to 13. Solving to obtain the head office welfare of 4.45 ten thousand yuan.
(3) Conventional centralized transaction results
In order to embody the advantage of the method for clearing adaptive to the renewable energy quota index proposed by the present patent, a conventional centralized trading model without distinguishing the power types is adopted to solve the electricity purchasing demand and the trading clearing result of each electricity purchasing province, as shown in fig. 14 to 17. In a conventional centralized transaction model in which the types of power supplies are not distinguished, the power demand per time period is the sum of non-water renewable energy, hydropower, and non-renewable energy power, and the price is a weighted average of prices of non-water renewable energy, hydropower, and non-renewable energy, as shown in the following table:
meter 15 Power purchasing province a declares electric quantity and price (unit: MW, yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Reporting electric quantity
90
90
90
90
Corresponding electricity price
0.483
0.483
0.483
0.483
Table 16 electric power purchasing province b declares electric quantity and price (unit: MW, yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Reporting electric quantity
55
55
55
55
Corresponding electricity price
0.523
0.523
0.523
0.523
Table 16 power-purchasing province c declares electric quantity and price (unit: MW, yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Reporting electric quantity
80
80
80
80
Corresponding electricity price
0.525
0.525
0.525
0.525
Table 16 electric power purchasing province d declares electric quantity and price (unit: MW, yuan/kW)
Type of selling electricity
0-15min
15-30min
30-45min
45-60min
Reporting electric quantity
90
90
90
90
Corresponding electricity price
0.5
0.5
0.5
0.5
Solving to obtain the head office welfare of 4.01 ten thousand yuan.
(4) Comparative analysis
1) From the perspective of meeting the electricity purchasing requirements of electricity purchasing provinces on different power supply types
The model provided by the patent can fully meet individual requirements of power purchasing provinces on non-water renewable energy sources, water and electricity and non-renewable energy sources in centralized bidding transaction, provides a basis for completing non-water renewable energy source quota indexes and renewable energy source quota indexes for the power purchasing provinces, and ensures that a renewable energy source power consumption responsibility weight policy can effectively play a role.
For the electricity-purchasing province a, if a conventional transaction mechanism without distinguishing the power types is adopted, the electricity-purchasing province a cannot purchase electricity at a high price in the inter-province market due to the low average electricity price (compared with other provinces) in the provinces, and the like, and the amount of the electricity-purchasing province a is low, as shown in fig. 14 to 17. However, the electricity-purchasing province a has a demand for achieving the consumption index of the non-aqueous renewable energy, and it is desirable to purchase the non-aqueous renewable energy at a high price. The model provided by the patent can meet the actual demand of purchasing non-water renewable energy between provinces by the electricity purchasing province a, as shown in fig. 2 to 4.
For the electricity purchasing province b, the willingness to purchase renewable energy sources is strong, but the higher price cannot be accepted, and the electricity purchasing requirement of coal electricity is avoided. However, the conventional transaction mechanism that does not distinguish the power type makes the amount of transaction higher, as shown in fig. 14 to 17, and in which a larger amount of coal exists. By adopting the patent model, the electricity purchasing province can accurately complete partial purchase non-water renewable energy and water and electricity requirements which can be achieved by bidding by distinguishing the transaction electric quantity.
2) From the perspective of improving social welfare
The general social welfare of the model provided by the patent is 4.45 ten thousand yuan, and is improved by 11% compared with the general social welfare of 4.01 ten thousand yuan of a conventional centralized transaction model without distinguishing the power supply types. The power supply types are accurately distinguished, so that the non-water renewable energy sources and the hydropower are accurately sold to the electricity purchasing provinces willing to be high-priced (the willingness of electricity purchasing is stronger in price), and the electricity purchasing provinces can fulfill the total consumption target of the non-water renewable energy sources and the renewable energy sources required by the renewable energy source electricity consumption responsibility weight policy.
Example 3
The invention provides a clearing system adaptive to the achievement of a renewable energy quota index, as shown in fig. 18, the system comprises:
the acquisition module is used for acquiring energy demand and demand price curves declared by each power purchasing party according to each power type at each moment and power curves and power selling price curves declared by each power generation enterprise according to each power type;
the solving module is used for solving a pre-constructed electric power market clearing model based on the energy demand and demand price curve declared by each electricity purchasing party according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type, and determining the clear transaction electric quantity and the electric power price of each electricity purchasing party and each power generation enterprise according to each power type;
the electric power market clearing model is established based on each power type, considering the power purchasing amount constraint, the power selling amount constraint and the electric quantity balance determined by each power purchasing party and each power generation enterprise according to each power type as constraints, and aiming at maximizing the sum of benefits cleared by each power purchasing party and each power generation enterprise according to each power type.
The acquisition module is specifically configured to:
each power purchasing party regularly declares an energy demand and demand price curve according to each time period of each power type in a preset time domain;
each power generation enterprise regularly declares a power curve and a power selling price curve according to each time period of each power supply type in a preset time domain;
the power supply types include: hydroelectric, non-aqueous renewable energy, and other conventional energy sources.
The solving module is specifically configured to:
and solving the clearing model of the power market by utilizing matlab through a default solving algorithm to obtain the clearing success electric quantity and the price of the power according to each power type of each power supplier and each power generation enterprise in each quotation section at each moment.
The system further comprises:
and the construction module is used for constructing an electric power market clearing model based on the energy demand and demand price curve declared by each power purchasing party according to each power type at each moment and the electric power curve and electricity selling price curve declared by each power generation enterprise according to each power type.
The building module is specifically configured to:
the method comprises the steps of constructing an objective function by taking the maximization of the sum of social benefits considering hydropower, non-water renewable energy and other conventional energy power as a target;
the method comprises the steps of constraining the objective function by using electricity selling quantity constraint, electricity purchasing quantity constraint and power balance constraint corresponding to electricity of hydropower, non-water renewable energy and other conventional energy as constraint conditions to obtain an electricity market clearing model;
the expression of the objective function is as follows:
wherein f is the objective function value,andrespectively providing a non-water renewable energy price, a water and electricity price and a non-renewable energy power price for the ith electricity purchasing party in the b th quoted price section,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andrespectively the price of the non-water renewable energy source, the price of water and electricity and the price of the non-renewable energy source power which are cleared by the jth power generation enterprise in the s quotation section,andclear in the s price section for the jth power generation enterpriseThe method comprises the following steps of (1,2,3, …, I), I is the total number of power purchasers, B is (1,2,3, …, B), B is the total number of quoted sections corresponding to the power purchasers, J is (1,2,3, …, J), J is the total number of power generation enterprises, S is (1,2,3, 9, S), and S is the total number of quoted sections corresponding to the power generation enterprises;
the expression of the power purchase constraint is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andthe method comprises the steps that the electricity purchasing requirements of non-water renewable energy sources, the electricity purchasing requirements of water and electricity and the electricity purchasing requirements of non-renewable energy source electricity, which are declared by an ith electricity purchasing party in a B-th quoted section, I is (1,2, 3.., I), I is the total number of the electricity purchasing parties, B is (1,2, 3.., B), and B is the total quoted section number corresponding to the electricity purchasing parties;
the sales electricity constraint expression is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, water and electricity and non-renewable energy electric power for the jth power generation enterprise in the s quotation section,andthe method comprises the steps that the power selling requirements of non-water renewable energy sources, the power selling requirements of water and electricity and the power selling requirements of non-renewable energy source electricity which are declared by a jth power generation enterprise in an S-th quotation section are respectively set, J is (1,2, 3.. multidot.J), J is the total number of the power generation enterprises, S is (1,2, 3.. multidot.S), and S is the total number of quotation sections corresponding to the power generation enterprises;
the expression of the power balance constraint is as follows:
wherein the content of the first and second substances,andrespectively providing clear non-water renewable energy, hydropower and non-renewable energy electric power for the ith power purchasing party in the b price quotation section,andthe method comprises the steps that the J-th power generation enterprise produces clear non-water renewable energy, water and electricity and non-renewable energy power in the S-th price quotation section, I is (1,2, 3., I), I is the total number of power purchasers, B is (1,2, 3., B), B is the total number of price quotation sections corresponding to the power purchasers, J is (1,2, 3.., J), J is the total number of the power generation enterprises, S is (1,2, 3.., S), and S is the total number of price quotation sections corresponding to the power generation enterprises.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
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