CN117114877A - Medium-and-long-term power transaction method and system based on virtual power plant - Google Patents

Medium-and-long-term power transaction method and system based on virtual power plant Download PDF

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CN117114877A
CN117114877A CN202311102603.8A CN202311102603A CN117114877A CN 117114877 A CN117114877 A CN 117114877A CN 202311102603 A CN202311102603 A CN 202311102603A CN 117114877 A CN117114877 A CN 117114877A
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power plant
virtual power
virtual
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power
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史向成
李刚
李鹏飞
梁啸
范明浩
王强
宋立涛
李志文
焦俐
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Huaneng New Energy Co Ltd Shanxi Branch
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract

The invention discloses a medium-and-long-term power transaction method and a system based on a virtual power plant, wherein the method comprises the following steps: establishing a virtual power plant platform comprising a main body of a power supply side, a demand side and a management center; taking the sum of the output of the main body in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition, taking the maximum income of the virtual power plant as a scheduling target, establishing an objective function, and optimizing the cost of each main body; determining an initial trading plan of a subject in the virtual power plant, then establishing a game strategy of the subject in the virtual power plant, and then determining a final trading contract; and finally, storing the transaction contract into a blockchain, and completing automatic settlement after security check. The invention establishes the objective function by taking the maximum benefit of the virtual power plant as the scheduling target, thereby being beneficial to formulating accurate and stable trade contracts. And meanwhile, the stable control of variable factors in the aspects of electric energy supply, demand, price and the like based on the virtual power plant is realized.

Description

Medium-and-long-term power transaction method and system based on virtual power plant
Technical field:
the invention relates to the technical field of virtual power plants, in particular to a medium-and-long-term power trading method and system based on a virtual power plant.
The background technology is as follows:
the medium-term power trade refers to a power trade mode based on a contract according to market supply and demand relation and long-term power demand prediction. The medium-term transaction of electric power is an important component of the electric power market, and the electric power is separated from purchase and sales by contracting in advance, so that more flexibility and stability are provided for electric power production and supply.
In traditional power trading modes, both supply and demand parties often trade through the spot market, with short-term and on-demand contracts. Short-term transactions run the risk of power price fluctuations, and it is also difficult for power suppliers and consumers to predict future price trends. Thus, medium-to-long term transactions in electricity have evolved, which provides a more stable and long-term collaboration mechanism for both suppliers and consumers.
With the rapid development of computer information technology, the virtual power plant has strong power regulation and control capability based on advanced information management technology and strong system integration. Meanwhile, as a special power plant, the method realizes the aggregation and coordination optimization of distributed resources such as distributed energy sources, energy storage systems, controllable loads, electric vehicles and the like, and participates in the operation regulation and control of the electric market and the power grid and the electric power transaction.
The virtual power plant is taken as an emerging main body to participate in the market, and the internal resources have high flexibility, so that in the middle-long-term transaction of electric power, variable factors based on the electric energy supply, the demand, the price and the like of the virtual power plant are stably controlled, so that the accuracy of the decision of the virtual power plant is improved, and the trust, the safety and the reliability of a good virtual power plant transaction process are urgently needed.
The invention comprises the following steps:
the invention aims to provide a medium-and-long-term power transaction method and system based on a virtual power plant, which are used for solving the defects in the prior art.
The invention is implemented by the following technical scheme: a medium-and-long-term power transaction method based on a virtual power plant comprises the following steps:
establishing a virtual power plant platform comprising a main body of a power supply side, a demand side and a management center;
taking the sum of the output of the main body in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition, taking the maximum income of the virtual power plant as a scheduling target, establishing an objective function, and optimizing the cost of each main body;
determining an initial trading plan for a subject within a virtual power plant based on the objective function;
establishing a game strategy of a main body in the virtual power plant based on the initial transaction plan;
determining a final trading contract based on the gaming strategy of the main body in the virtual power plant;
and storing the transaction contract into a blockchain, and completing automatic settlement after security check.
Further, the virtual power plant platform comprises a public power grid, an electricity selling entity and a plurality of users, wherein the electricity selling entity is used for distributing an energy storage system, hot spot co-production, a micro-grid, small hydropower stations, distributed photovoltaic power generation and distributed wind power generation.
Further, the objective function is built by taking the maximum benefit of the virtual power plant as a scheduling target, wherein the benefit function expression of the virtual power plant is as follows:
wherein: p (P) Retail sales To plan retail electricity price for virtual power plant to user, P Load of For the load amount of the virtual power plant after demand response, I is the energy interactive income, C is the cost paid to the user of the virtual power plant to participate in the demand response, E (C) t ) C for the deviation cost expectation of the power generation device n For the running cost of the power generation device, m is the upper limit of the running period of the power generation device, and n is the number of the power generation devices;
wherein, the energy interaction income I is:
wherein: alpha t And beta t The electricity selling price and the electricity purchasing price of the VPP to the main network in the t period are respectively; x is x α (t) and x β (t) are the electricity selling and purchasing state variables, P, of the VPP to the main network in the period of t respectively m,t The interaction electric quantity between the VPP and the main network is used; let P be m,t >At 0, x α (t) =1, when P m,t <At 0, x β (t) =1, then satisfy
Further, the generating side benefit function constraint condition comprises an upper limit constraint and a lower limit constraint of the output of the generating set, an output constraint of the energy storage device and a demand side response constraint, wherein:
(1) Upper and lower limit constraint of generator set output
P l ≤P≤P h Wherein P is l 、P h The output of the machine set is minimum and maximum respectively;
(2) Energy storage device output constraint
-
Wherein C is 0,j To the initial power of the energy storage device, P c,j,t Is power after t hours S, S 、 Respectively the maximum charge and discharge power per hour,respectively the minimum capacity and the maximum capacity of the energy storage system in the t period;
(3) Demand side response constraints
μ 1 ＜L t ＜(1+μ 2 )L t,0
Wherein L is t ＝αe βp ，L t Is the load, alpha is a constant coefficient, beta is an elastic factor, p is the electricity price, L t,0 Mu, as initial load quantity 1 、μ 2 And the parameters are respectively the change parameters of the load when participating in the demand response.
Further, the determining an initial transaction plan of the main body in the virtual power plant based on the objective function specifically includes: each parameter of the virtual power plant gain function is biased so that the calculated variable meets the requirement of maximizing the virtual power plant gain function, and further, the trading plan parameter value of the virtual power plant in the period T is determined according to the calculated variable, wherein the trading plan parameter value comprises the following parameters: proprietary retail price of electricity P to user Retail sales Load P of virtual power plant after demand response Load of The energy interactive benefits I, the cost C of the virtual power plant paid to the user to participate in the demand response, the power generation device deviation cost expectations E (C) t ) Operating cost C of power generation device n The upper limit m of the operation time period of the power generation devices and the number n of the power generation devices.
Further, the period T is a medium-long time including years, seasons, months, or days in a month.
Further, the game strategy of the main body in the virtual power plant is established based on the initial transaction plan, specifically:
based on the uncertainty and flexible load interaction existing in long-term power transaction in the power generation main body in the virtual power plant, the seller determines the transaction electric quantity of each period within the valid period of the contract and under the framework specified by the contract, so that the power supply cost is the lowest;
the buyer receives power supply according to a delivery plan determined by the seller, and the seller obtains optimal benefit through self power generation or market power purchasing;
if the buyer's demand is more flexible and the electric energy floating interval which can be born in each period prescribed by the contract is larger, the lower the price of the trade contract is, otherwise the price is higher.
Further, the determining a final transaction contract based on the game policy of the main body in the virtual power plant specifically includes: the trade contract adopts a seller flexible power contract for prescribing the trade power floating interval, and the opportunity cost pricing based on the contract trade is completed by a mode that a power supplier negotiates with a user with elastic requirements outside the field and then is checked and confirmed through system scheduling.
Further, the transaction contract is stored in a blockchain, and automatic settlement is completed after security check, specifically: storing the transaction contract in a block in a merkle tree form, wherein the intelligent contract automatically completes the transfer of funds according to the electric energy data sent to a block chain every time the transaction time arrives;
in addition, the blocking management is performed without passing the approval of the school, specifically: the congestion price is formulated according to the following rules, with an initial congestion price of 0, and updated when a line is congested, for transactions contributing to the congestion, according to the following formula
Wherein: pi ij Representing a blocking price; l is transaction t ij A set of lines contributing to the blocking of the lines; p (P) l The actual power of the line; p (P) lmax Maximum power that line l can withstand; alpha is defined as a congestion price coefficient, the specific value of which needs to be determined according to the congestion adjustment of the actual market.
The invention also provides a medium-and-long-term power trading system based on the virtual power plant, which comprises the following steps:
a virtual power plant establishing module that establishes a virtual power plant platform including a main body of a power supply side, a demand side, and a management center;
the cost optimization module is used for establishing an objective function by taking the sum of the output of the main bodies in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition and taking the maximum benefit of the virtual power plant as a scheduling target so as to optimize the cost of each main body;
an initial trading plan module that determines an initial trading plan for a subject within a virtual power plant based on the objective function;
the transaction game module establishes a game strategy of a main body in the virtual power plant based on the initial transaction plan;
the contract calculation module is used for determining a final transaction contract based on a game strategy of a main body in the virtual power plant;
and the transaction settlement module stores the transaction contract into a blockchain, and completes automatic settlement after security check.
The invention has the advantages that:
1. the method takes the sum of the output of the main body in the virtual power plant in each time period as a decision variable, takes the constraint of the power network and the distributed power supply as a condition, and takes the maximum income of the virtual power plant as a scheduling target to establish an objective function so as to further determine the initial transaction plan of the main body in the virtual power plant; and the deflection derivative calculation is carried out on the objective function, and finally, the variable value which enables the function gain to be maximum is calculated, so that a reference is provided for an initial transaction plan, and the establishment of more accurate and stable transaction contracts is facilitated.
2. In the game strategy establishment based on the initial transaction plan, the invention carries out the transaction electric quantity of the seller in each period within the valid period of the contract and under the framework specified by the contract based on the uncertainty and flexible load interaction existing in the long-term electric power transaction in the power generation main body in the virtual power plant, so that the power supply cost is the lowest; meanwhile, if the demand elasticity of the buyer is larger and the electric energy floating interval which can be born in each period specified by the contract is larger, the price of the transaction contract is lower. In addition, the seller can participate in competitive price transaction while participating in contract transaction, or forms a supply and demand multiparty alliance by utilizing power transmission and utilization right transaction to weaken utility reduction caused by wind power uncertainty, and the game strategy can obviously improve the utility of the buyer and the seller in market transaction, and simultaneously realize stable control on variable factors in aspects of electric energy supply, demand, price and the like based on the virtual power plant.
3. According to the invention, the transaction contract is stored in the blockchain, and after security check, automatic settlement is completed in a blockchain management mode, so that the trust problem between two transaction parties is solved, and the data security is ensured.
Description of the drawings:
in order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a medium-to-long term power trading method based on a virtual power plant according to an embodiment of the invention;
FIG. 2 is a schematic block diagram of a medium-to-long term power trading system based on a virtual power plant according to an embodiment of the present invention;
fig. 3 is a topology structure diagram of a virtual power plant based on medium-and-long-term power trading of the virtual power plant according to an embodiment of the present invention.
The specific embodiment is as follows:
the following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the invention provides a medium-and-long-term power trading method based on a virtual power plant, which comprises the following steps:
s1, establishing a virtual power plant platform comprising a power supply side, a demand side and a main body of a management center;
s2, taking the sum of the output of the main bodies in the virtual power plant in each period as a decision variable, taking the constraint of the power network and the distributed power supply as a condition, taking the maximum benefit of the virtual power plant as a scheduling target, establishing an objective function, and optimizing the cost of each main body;
s3, determining an initial transaction plan of a main body in the virtual power plant based on the objective function;
s4, establishing a game strategy of the main body in the virtual power plant based on the initial transaction plan;
s5, determining a final transaction contract based on a game strategy of a main body in the virtual power plant;
s6, storing the transaction contract into the blockchain, and completing automatic settlement after security check.
As shown in fig. 3, the virtual power plant platform comprises a public power grid, an electricity selling entity and a plurality of users, wherein the electricity selling entity is used for distributing an energy storage system, hot spot co-production, micro-grid, small hydropower station, distributed photovoltaic power generation and distributed wind power generation. As can be seen from fig. 3, the virtual power plant (virtual power plant, VPP) performs aggregation control on the distributed power sources scattered in the area thereof through a communication technology, integrates different types of distributed power sources, forms a controllable integral power generation system with flexible operation characteristics, and can participate in the electric power market trade to the outside on behalf of the distributed power sources in the area. The VPP can be connected with the main network through more than one connection point, and because of the characteristic of output fluctuation of renewable power sources such as fans, photovoltaics and the like, the VPP needs to interact with the external main network at any time, so that the VPP cannot be independently operated as a closed system. Overall, the VPP always exchanges energy, information and money flows with the main network, presenting the characteristics of an open system, which is also the main difference between VPP and micro-grid.
In this embodiment, the maximum benefit of the virtual power plant is taken as the scheduling target to establish the objective function, wherein the expression of the benefit function of the virtual power plant is:
wherein: p (P) Retail sales To plan retail electricity price for virtual power plant to user, P Load of For the load amount of the virtual power plant after demand response, I is the energy interactive income, C is the cost paid to the user of the virtual power plant to participate in the demand response, E (C) t ) C for the deviation cost expectation of the power generation device n For the running cost of the power generation device, m is the upper limit of the running period of the power generation device, and n is the number of the power generation devices;
wherein, the energy interaction income I is:
wherein: alpha t And beta t The electricity selling price and the electricity purchasing price of the VPP to the main network in the t period are respectively; x is x α (t) and x β (t) are the electricity selling and purchasing state variables, P, of the VPP to the main network in the period of t respectively m,t The interaction electric quantity between the VPP and the main network is used; let P be m,t >At 0, x α (t) =1, when P m,t <At 0, x β (t) =1, then satisfy
The generating side income function constraint conditions comprise an upper limit constraint and a lower limit constraint of the output of the generating set, an output constraint of the energy storage device and a demand side response constraint, and comprise:
(1) Upper and lower limit constraint of generator set output
P l ≤P≤P h Wherein P is l 、P h The output of the machine set is minimum and maximum respectively;
(2) Energy storage device output constraint
-
Wherein C is 0,j To the initial power of the energy storage device, P c,j,t Is power after t hours S, S 、 Respectively the maximum charge and discharge power per hour,respectively the minimum capacity and the maximum capacity of the energy storage system in the t period;
(3) Demand side response constraints
μ 1 ＜L t ＜(1+μ 2 )L t,0
Wherein L is t ＝αe βp ，L t Is the load, alpha is a constant coefficient, beta is an elastic factor, p is the electricity price, L t,0 Mu, as initial load quantity 1 、μ 2 And the parameters are respectively the change parameters of the load when participating in the demand response.
In this embodiment, the initial transaction plan of the main body in the virtual power plant is determined based on the objective function, specifically: deflecting parameters of the virtual power plant gain function so that the calculated variables meet the requirement of maximizing the virtual power plant gain function, thereby obtaining rootDetermining a trading plan parameter value of the virtual power plant in the period T according to the calculated variable, wherein the trading plan parameter value comprises the following values: proprietary retail price of electricity P to user Retail sales Load P of virtual power plant after demand response Load of The energy interactive benefits I, the cost C of the virtual power plant paid to the user to participate in the demand response, the power generation device deviation cost expectations E (C) t ) Operating cost C of power generation device n The upper limit m of the operation time period of the power generation devices and the number n of the power generation devices. In mathematics, the partial derivative of a multi-variable function, i.e., its derivative with respect to one of the variables, keeps the other variables constant (relative to the full derivative where all variables are allowed to change), by deriving the other variables relatively "fixed", and finally calculating the variable value that maximizes the function benefit, providing a reference for the initial trading plan.
Wherein, the T period is middle and long time including years, seasons, months or days in months. Long-term transactions in electricity are characterized by long contract terms, typically months or even years. Contract signing typically requires detailed negotiations and negotiations between the parties to ensure fairness and reasonability of the contract contents. Details of the power purchaser's demand, quality requirements, delivery means, payment means, etc., as well as the power seller's supply capacity, price mechanism, delivery capacity, etc., are often included in the contract. In medium-long term transaction of electric power, the electric power purchaser can lock a certain amount and price of electric power resources through signing a long-term contract, so that the cost and risk of electric power purchasing are reduced. Second, the power seller can stabilize its sales income through long-term contract, improving predictability of production operation.
In this embodiment, a game policy of a main body in a virtual power plant is established based on an initial transaction plan, which specifically includes:
based on the uncertainty and flexible load interaction existing in long-term power transaction in the power generation main body in the virtual power plant, the seller determines the transaction electric quantity of each period within the valid period of the contract and under the framework specified by the contract, so that the power supply cost is the lowest; the buyer receives power supply according to a delivery plan determined by the seller, and the seller obtains optimal benefit through self power generation or market power purchasing; if the buyer's demand is more flexible and the electric energy floating interval which can be born in each period prescribed by the contract is larger, the lower the price of the trade contract is, otherwise the price is higher.
In addition, the seller can participate in competitive price transaction while participating in contract transaction, or the seller utilizes the issuing and using electricity right transaction to form a supply and demand multiparty alliance so as to weaken the utility reduction caused by wind power uncertainty, and the game strategy can obviously improve the utility of the buyer and the seller in market transaction.
Then, determining a final transaction contract based on the game strategy of the main body in the virtual power plant, wherein the final transaction contract is specifically as follows: the trade contract adopts a seller flexible power contract for prescribing the trade power floating interval, and the opportunity cost pricing based on the contract trade is completed by a mode that a power supplier negotiates with a user with elastic requirements outside the field and then is checked and confirmed through system scheduling.
Finally, storing the transaction contract into a blockchain, and completing automatic settlement after safety check, wherein the method specifically comprises the following steps: storing the transaction contract in the block in the form of a merkle tree, wherein the intelligent contract automatically completes the transfer of funds according to the electric energy data sent to the block chain every time the transaction time arrives;
in addition, the blocking management is performed without passing the approval of the school, specifically: the congestion price is formulated according to the following rules, with an initial congestion price of 0, and updated when a line is congested, for transactions contributing to the congestion, according to the following formula
Wherein: pi ij Representing a blocking price; l is transaction t ij A set of lines contributing to the blocking of the lines; p (P) l The actual power of the line; p (P) lmax Maximum power that line l can withstand; alpha is defined as a congestion price coefficient, the specific value of which needs to be determined according to the congestion adjustment of the actual market.
As shown in fig. 2, the present invention further provides a medium-and-long-term power trading system based on a virtual power plant, including:
a virtual power plant creation module 101 that creates a virtual power plant platform including a main body of a power supply side, a demand side, and a management center;
the cost optimization module 102 is used for establishing an objective function by taking the sum of the output of the main bodies in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition and taking the maximum benefit of the virtual power plant as a scheduling target so as to optimize the cost of each main body;
an initial trading plan module 103 that determines an initial trading plan for a subject within the virtual power plant based on the objective function;
the transaction game module 104 establishes a game strategy of a main body in the virtual power plant based on the initial transaction plan;
a contract calculation module 105 that determines a final trade contract based on the gaming strategy of the principal within the virtual power plant;
the transaction settlement module 106 stores the transaction contract in the blockchain, and completes automatic settlement after security check.
The above modules are executed by the method for medium-and-long-term power transaction based on the virtual power plant, and will not be described herein.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.

Claims (10)

1. The medium-and-long-term power trading method based on the virtual power plant is characterized by comprising the following steps of:
establishing a virtual power plant platform comprising a main body of a power supply side, a demand side and a management center;
taking the sum of the output of the main body in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition, taking the maximum income of the virtual power plant as a scheduling target, establishing an objective function, and optimizing the cost of each main body;
determining an initial trading plan for a subject within a virtual power plant based on the objective function;
establishing a game strategy of a main body in the virtual power plant based on the initial transaction plan;
determining a final trading contract based on the gaming strategy of the main body in the virtual power plant;
and storing the transaction contract into a blockchain, and completing automatic settlement after security check.
2. The medium-and-long-term power trading method based on a virtual power plant according to claim 1, wherein the virtual power plant platform comprises a public power grid, an electricity selling entity, and a plurality of users, wherein the electricity selling entity is a distributed energy storage system, a hot spot co-production, a micro-grid, a small hydropower station, a distributed photovoltaic power generation, and a distributed wind power generation.
3. The virtual power plant-based medium-and-long-term power trading method of claim 1, wherein the objective function is established with the maximum benefit of the virtual power plant as a scheduling objective, and wherein the virtual power plant benefit function expression is:
wherein: p (P) Retail sales To plan retail electricity price for virtual power plant to user, P Load of For the load amount of the virtual power plant after demand response, I is the energy interactive income, C is the cost paid to the user of the virtual power plant to participate in the demand response, E (C) t ) C for the deviation cost expectation of the power generation device n For the running cost of the power generation device, m is the upper limit of the running period of the power generation device, and n is the number of the power generation devices;
wherein, the energy interaction income I is:
wherein: alpha t And beta t The electricity selling price and the electricity purchasing price of the VPP to the main network in the t period are respectively; x is x α (t) and x β (t) are the electricity selling and purchasing state variables, P, of the VPP to the main network in the period of t respectively m,t The interaction electric quantity between the VPP and the main network is used; let P be m,t >At 0, x α (t) =1, when P m,t <At 0, x β (t) =1, then satisfy
4. A virtual power plant-based medium-and-long term power trading method according to claim 3, wherein the generating side benefit function constraint conditions include a generator set output upper and lower limit constraint, an energy storage device output constraint, and a demand side response constraint, wherein:
(1) Upper and lower limit constraint of generator set output
P l ≤P≤P h Wherein P is l 、P h The output of the machine set is minimum and maximum respectively;
(2) Energy storage device output constraint
-
Wherein C is 0,j To the initial power of the energy storage device, P c,j,t The power after t hours is S, S' respectively the maximum charge and discharge power per hour,respectively the minimum capacity and the maximum capacity of the energy storage system in the t period;
(3) Demand side response constraints
μ 1 ＜L t ＜(1+μ 2 )L t,0
Wherein L is t ＝αe βp ，L t Is the load, alpha is a constant coefficient, beta is an elastic factor, p is the electricity price, L t,0 Mu, as initial load quantity 1 、μ 2 And the parameters are respectively the change parameters of the load when participating in the demand response.
5. The virtual power plant-based medium-to-long term power trading method of claim 1, wherein the determining an initial trading plan for a subject within a virtual power plant based on the objective function is specifically: each parameter of the virtual power plant gain function is biased so that the calculated variable meets the requirement of maximizing the virtual power plant gain function, and further, the trading plan parameter value of the virtual power plant in the period T is determined according to the calculated variable, wherein the trading plan parameter value comprises the following parameters: proprietary retail price of electricity P to user Retail sales Load P of virtual power plant after demand response Load of The energy interactive benefits I, the cost C of the virtual power plant paid to the user to participate in the demand response, the power generation device deviation cost expectations E (C) t ) Operating cost C of power generation device n The upper limit m of the operation time period of the power generation devices and the number n of the power generation devices.
6. The virtual power plant-based medium-long term power trading method of claim 5, wherein the period T is a medium-long term time including years, seasons, months, or days in months.
7. The method for medium-and-long-term power trading based on a virtual power plant according to claim 1, wherein the game strategy of the main body in the virtual power plant is established based on the initial trading plan, specifically:
based on the uncertainty and flexible load interaction existing in long-term power transaction in the power generation main body in the virtual power plant, the seller determines the transaction electric quantity of each period within the valid period of the contract and under the framework specified by the contract, so that the power supply cost is the lowest;
the buyer receives power supply according to a delivery plan determined by the seller, and the seller obtains optimal benefit through self power generation or market power purchasing;
if the buyer's demand is more flexible and the electric energy floating interval which can be born in each period prescribed by the contract is larger, the lower the price of the trade contract is, otherwise the price is higher.
8. The method for medium-and-long-term power trading based on virtual power plants according to claim 1, wherein the final trading contract is determined based on a game strategy of a main body in the virtual power plant, specifically: the trade contract adopts a seller flexible power contract for prescribing the trade power floating interval, and the opportunity cost pricing based on the contract trade is completed by a mode that a power supplier negotiates with a user with elastic requirements outside the field and then is checked and confirmed through system scheduling.
9. The method for medium-and-long-term power transaction based on a virtual power plant according to claim 1, wherein the transaction contract is stored in a blockchain, and automatic settlement is completed after safety check, specifically: storing the transaction contract in a block in a merkle tree form, wherein the intelligent contract automatically completes the transfer of funds according to the electric energy data sent to a block chain every time the transaction time arrives;
in addition, the blocking management is performed without passing the approval of the school, specifically: the congestion price is formulated according to the following rules, with an initial congestion price of 0, and updated when a line is congested, for transactions contributing to the congestion, according to the following formula
Wherein: pi ij Representing a blocking price; l is transaction t ij A set of lines contributing to the blocking of the lines; p (P) l The actual power of the line; p (P) lmax Maximum sustainable for line lA power; alpha is defined as a congestion price coefficient, the specific value of which needs to be determined according to the congestion adjustment of the actual market.
10. A virtual power plant-based medium-to-long term power trading system, comprising:
a virtual power plant establishing module that establishes a virtual power plant platform including a main body of a power supply side, a demand side, and a management center;
the cost optimization module is used for establishing an objective function by taking the sum of the output of the main bodies in the virtual power plant in each period as a decision variable, taking the constraint of a power network and a distributed power supply as a condition and taking the maximum benefit of the virtual power plant as a scheduling target so as to optimize the cost of each main body;
an initial trading plan module that determines an initial trading plan for a subject within a virtual power plant based on the objective function;
the transaction game module establishes a game strategy of a main body in the virtual power plant based on the initial transaction plan;
the contract calculation module is used for determining a final transaction contract based on a game strategy of a main body in the virtual power plant;
and the transaction settlement module stores the transaction contract into a blockchain, and completes automatic settlement after security check.
CN202311102603.8A 2023-08-30 2023-08-30 Medium-and-long-term power transaction method and system based on virtual power plant Pending CN117114877A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117669985A (en) * 2023-12-21 2024-03-08 上海合煌能源科技有限公司 Virtual power plant management method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117669985A (en) * 2023-12-21 2024-03-08 上海合煌能源科技有限公司 Virtual power plant management method and system
CN117669985B (en) * 2023-12-21 2024-05-14 上海合煌能源科技有限公司 Virtual power plant management method and system

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