A regional balancing market pricing method, device, equipment and medium

Abstract

The present invention relates to a regional balancing market pricing method, device, equipment and medium, wherein the method comprises: obtaining quotation and quantity information provided by market entities participating in the regional balancing market; setting economic degree weight and comfort degree weight according to the type of market entities participating in the regional balancing market; setting user willingness weight, and adjusting the user willingness weight according to the quotation and quantity information; constructing a regional balancing service pricing optimization model based on the economic degree weight, comfort degree weight and user willingness weight with the goal of minimizing regional balancing service cost and maximizing user willingness; solving the regional balancing service pricing optimization model to obtain the regional balancing service electricity price. The present invention can promote more users to actively participate in the regional balancing market and ensure the safe and stable operation of the large power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plants, and in particular to a regional balancing market pricing method, device, equipment and medium. Background Art

[0002] Virtual power plants use advanced communication technologies to integrate and regulate distributed resources within a certain area. Due to the randomness and volatility of resources within virtual power plants, problems such as power grid power reverse transmission, excessive interaction power between regional power grids and large power grids, large peak-to-valley differences in daily power consumption curves, and overload of some lines may occur, affecting the economically safe and stable operation of the power grid.

[0003] Virtual power plants conduct market transactions on regional balancing services at the distribution network level, and use monetary rewards to guide internal resources to change power generation / consumption plans, so as to achieve regional internal self-balancing as much as possible, and receive regional balancing service benefits from power grid companies. As market entities, internal resources in the virtual power plant region need to report their own upward and downward quotation information. Virtual power plants conduct regional balancing markets based on system status, regional balancing needs and other information obtained from power grid companies, and calculate a unified regional balancing service price.

[0004] The existing public patent document CN117455588A discloses a real-time pricing method and system for the power market that promotes the optimal allocation of power resources. The method includes: modeling the real-time pricing problem in the power market as a two-layer optimization problem; wherein the upper layer problem of the two-layer optimization problem is the problem of maximizing the interests of the power supplier, and the lower layer problem is the problem of maximizing the utility function of the power consumer; using a preset two-layer gradient optimization algorithm to solve the two-layer optimization problem, and obtain the electricity price of the next time step, so as to update the electricity price in real time, realize real-time pricing in the power market, and realize the optimization of power resources. This method only maximizes the benefits of the power supplier by analyzing the profit-seeking behavior of the user, and cannot promote more users to participate in the market by analyzing the user's willingness. In addition, the solution of the two-layer optimization problem is complex, and the proposed solution method is difficult to apply to actual projects. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a regional balancing market pricing method, device, equipment and medium, which can promote more users to actively participate in the regional balancing market and ensure the safe and stable operation of the large power grid.

[0006] The technical solution adopted by the present invention to solve the technical problem is: to provide a regional balancing market pricing method, comprising the following steps:

[0007] Obtain quotation and volume information provided by market players participating in the regional balancing market;

[0008] Setting economic weights and comfort weights according to the types of market entities participating in the regional balancing market;

[0009] Setting a user willingness weight, and adjusting the user willingness weight according to the quotation and quantity information;

[0010] Based on the economic weight, comfort weight and adjusted user willingness weight, a regional balancing service pricing optimization model is constructed with the goal of minimizing regional balancing service cost and maximizing user willingness;

[0011] The regional balancing service pricing optimization model is solved to obtain the regional balancing service electricity price.

[0012] The step of adjusting the user willingness weight according to the quotation and quotation information is as follows:

[0013] Integrate the quotation and volume information to assess whether the participation of market players in the regional balancing market is in line with expectations;

[0014] If the participation of market players in the regional balancing market meets expectations, the user willingness weight is reduced;

[0015] If the participation of market players in the regional balancing market does not meet expectations, the user willingness weight will be increased.

[0016] The objective function of the regional balancing service pricing optimization model is: ,in, is the regional service cost weight, is the user willingness weight, and , for The regional balancing market in the time period has a unified clearing electricity price. for Time-of-use electricity price of the large power grid, for Participation in the regional balancing market The power consumption / generation capacity after market players participate in the regional balancing market, for Participation in the regional balancing market The original planned electricity consumption / generation capacity of each market player before participating in the regional balancing market; for In the case of regional balancing market during the period of operation The active power of the interconnection line and the large power grid, for When the regional balancing market does not operate during the period The active power exchanged between the interconnection line and the large power grid, For the first The economic weight of each market entity, For the first The comfort weight of each market player, and , For the first The economic degree of each market entity, For the first The comfort level of each market player.

[0017] The economic degree of the market subject is described by the relative change in revenue and expenditure before and after the market subject participates in the regional balance market, expressed as: ,in, For the first The regulation power-price function provided by each market player, The original planned income or expenditure before participating in the regional balancing market.

[0018] The comfort level of the market subject is described by the relative change in electricity consumption or power generation before and after the market subject participates in the regional balancing market, expressed as: .

[0019] The constraints of the regional balancing service pricing optimization model include power balance constraints, network constraints, unit operation constraints, pricing economic constraints, pricing range constraints, regional balancing effect constraints and market entity economic guarantee constraints.

[0020] The power balance constraint is expressed as: ,in, for The period does not participate in the regional balancing market The electricity consumption / generation capacity of each market player;

[0021] The network constraints are expressed as: ,in, , and They are the first market players, not participating in the regional balancing market market players and The node where the tie line is located is on the line The generation transfer distribution factor, and Line The forward and reverse power flow slack variables of ;

[0022] The unit operation constraints are expressed as: ,in, and They are Participation in the regional balancing market The power lower and upper limits of each market player, and They are the first Market players from the beginning of the day to The lower and upper limits of the total power consumption during the time period, From the beginning of the day to The time period included in the time period, is the length of time per unit period, and They are Participation in the regional balancing market The lower and upper limits of the ramp-up rate for each market player;

[0023] The pricing economic constraint is expressed as: ,in, The economic benefits of the power grid brought by regional balancing services;

[0024] The pricing range constraint is expressed as: ,in, , They are the lower and upper limits of the regional balancing service electricity price respectively;

[0025] The regional balance effect constraint is expressed as: ,in, and Separately Included The lower and upper limits of the interaction power between the regional power grid and the large power grid during the period, A set of time slot numbers having interactive power requirements; and For the first The maximum and minimum values ​​of the interaction power of the tie lines, For the The upper limit of the peak-to-valley difference of the interactive power of the interconnection lines is required. and Line The required lower limits of the forward transmission power margin and the reverse transmission power margin;

[0026] The economic degree guarantee constraint of the market subject is expressed as: .

[0027] The technical solution adopted by the present invention to solve the technical problem is: to provide a regional balancing market pricing device, comprising:

[0028] An acquisition module is used to obtain quotation and quantity information provided by market players participating in the regional balancing market;

[0029] A setting module, used for setting the economic degree weight and the comfort degree weight according to the type of market entities participating in the regional balancing market;

[0030] An adjustment module, used to set a user willingness weight and adjust the user willingness weight according to the quotation and quantity information;

[0031] A construction module is used to construct a regional balancing service pricing optimization model based on the economic weight, the comfort weight and the adjusted user willingness weight, with the goal of minimizing the regional balancing service cost and maximizing the user willingness;

[0032] The solution module is used to solve the regional balancing service pricing optimization model to obtain the regional balancing service electricity price.

[0033] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned regional balancing market pricing method when executing the computer program.

[0034] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned regional balancing market pricing method are implemented.

[0035] Beneficial Effects

[0036] Due to the adoption of the above-mentioned technical scheme, the present invention has the following advantages and positive effects compared with the prior art: the pricing optimization model constructed by the present invention takes into account the user's willingness to participate in the market, and promotes more users to actively participate in the regional balancing market. The pricing obtained based on the pricing optimization model in the present invention can alleviate the problem of power backfeed of the power grid, keep the interaction power between the regional power grid and the large power grid within a safe range, reduce the peak-to-valley difference in electricity consumption in the region, reduce the overload of the power grid lines, and ensure the safe and stable operation of the large power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of the regional balancing market pricing method according to the first embodiment of the present invention. DETAILED DESCRIPTION

[0038] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0039] The regional balancing market is operated by a third-party virtual power plant organization that is independent of the power grid company. The methods by which virtual power plants promote regional balance include: purchasing electricity from power generation resources, and providing electricity price subsidies to power consumption resources to guide increased electricity consumption. Under the condition that the regional balancing market does not affect the original operation plan of the resources, the virtual power plant guides the internal resources of the region to participate in the regional balancing market. The market players in the regional balancing market include distributed power sources, controllable loads and energy storage within the region. Market players can apply to have the remaining capacity or units participate in the regional balancing market on the premise of meeting the original operation plan. When participating in the regional balancing market, each market player provides the virtual power plant with a quotation and a quotation curve, and then the virtual power plant calculates the unified electricity price of the regional balancing market based on the quotation and quotation information.

[0040] The first embodiment of the present invention relates to a regional balancing market pricing method, such as Figure 1 As shown, the following steps are included:

[0041] Step 1: Obtain quotation and volume information provided by market players participating in the regional balancing market.

[0042] Step 2: Set economic weights and comfort weights according to the types of market entities participating in the regional balancing market. In this step, economic weights and comfort weights that match the types of different market entities are set to provide a basis for calculating a unified regional balancing service price.

[0043] Step 3, set the user willingness weight, and adjust the user willingness weight according to the quotation and quotation information. In this step, first set an initial user willingness weight, then integrate all the quotation and quotation information obtained, and evaluate whether the participation of market players in the regional balancing market meets expectations based on the integration results; if the participation of market players in the regional balancing market meets expectations, reduce the initial user willingness weight; if the participation of market players in the regional balancing market does not meet expectations, increase the initial user willingness weight. In this embodiment, if the total quotation information of market players participating in the regional balancing market accounts for 70% of the forecast, it means that the participation meets expectations, otherwise it means that the participation does not meet expectations.

[0044] Step 4: Based on the economic weight, comfort weight and adjusted user willingness weight, a regional balancing service pricing optimization model is constructed with the goal of minimizing the regional balancing service cost and maximizing the user willingness.

[0045] The objectives of the regional balancing service pricing optimization model constructed in this step include two parts, namely, minimizing the regional balancing service cost and maximizing the user willingness. This optimization problem is a multi-objective optimization problem. This implementation adopts the weighted sum method to assign different weights to the two objectives and transform the multi-objective optimization problem into a single-objective optimization problem. The objective function of the regional balancing service pricing optimization model in this implementation is expressed as:

[0046] ;

[0047] in, is the regional service cost weight, is the user willingness weight, and , for The regional balancing market in the time period has a unified clearing electricity price. for Time-of-use electricity price of the large power grid, for Participation in the regional balancing market The power consumption / generation capacity after market players participate in the regional balancing market, for Participation in the regional balancing market The original planned electricity consumption / generation capacity of each market player before participating in the regional balancing market; for In the case of regional balancing market during the period of operation The active power of the interconnection line and the large power grid, for When the regional balancing market does not operate during the period The active power exchanged between the interconnection line and the large power grid, Indicates the participation in the regional balancing market The willingness of market players, For the first The economic weight of each market entity, For the first The comfort weight of each market player, and , For the first The economic degree of each market entity, For the first The comfort level of each market player.

[0048] The economic degree of market entities can be described by the relative change in revenue and expenditure before and after they participate in the regional balance market, expressed as:

[0049] ;

[0050] in, For the first The regulation power-price function provided by each market player, The original planned income or expenditure before participating in the regional balance market. When it is greater than 1, it means that the There are certain economic benefits for market players to participate in the regional balancing market; When it is less than 1, it means that the The benefits obtained by individual market players participating in the regional balancing market are negative. The larger the number, the more likely it is to participate in the regional balancing market. The higher the economic degree of individual market players participating in the regional balancing market.

[0051] The comfort level of market players can be described by the relative change in electricity consumption or power generation before and after they participate in the regional balancing market, expressed as:

[0052] ;

[0053] in, The value range of is [0,1], The larger the number, the more likely it is to participate in the regional balancing market. The more comfortable individual market players are with participating in the regional balancing market.

[0054] The constraints of the regional balancing service pricing optimization model in this implementation method include power balance constraints, network constraints, unit operation constraints, pricing economic constraints, pricing range constraints, regional balancing effect constraints and market entity economic guarantee constraints.

[0055] The power balance constraint is expressed as: .in, for The period does not participate in the regional balancing market The electricity consumption / generation power of each market player.

[0056] The network constraints are expressed as: .in, , and They are the first market players, not participating in the regional balancing market market players and The node where the tie line is located is on the line The generation transfer distribution factor, and Line The forward power flow slack variables and reverse power flow slack variables are given in Figure 2.

[0057] The unit operation constraints are expressed as: .in, and They are Participation in the regional balancing market The power lower and upper limits of each market player, and They are the first Market players from the beginning of the day to The lower and upper limits of the total power consumption during the time period, From the beginning of the day to The time period included in the time period, is the length of time per unit period, and They are Participation in the regional balancing market The lower and upper limits of the climbing rate of each market entity.

[0058] Pricing needs to consider the economic benefits of regional balancing to the power grid. The cost of regional balancing market transactions should not exceed the benefits brought by the regional balancing effect. Therefore, the pricing economic constraints of this implementation are expressed as: .in, The economic benefits of the grid brought by regional balancing services can be evaluated and calculated by the grid company based on actual conditions, and provided to the virtual power plant as the maximum budget amount together with the regional balancing demand at the beginning of the regional balancing market.

[0059] In market transactions, the upper and lower limits of electricity prices are usually set to ensure that there is no excessively high or low market pricing or abnormal trading behavior. Violation of the restrictions may lead to superior review or forced suspension. Therefore, the pricing range constraint in this implementation is expressed as: .in, , They are the lower and upper limits of regional balancing service electricity prices respectively.

[0060] The pricing result should ensure that the regional balancing market can promote the reduction of the interactive power between the regional power grid and the large power grid, and is within a safe range. The regional balancing effect constraint in this implementation is expressed as: Among them, the first formula represents limiting the upper and lower limits of interactive power in a specific period of time to increase the security and stability of the power grid. and Separately Included The lower and upper limits of the interaction power between the regional power grid and the large power grid during the period, is a set of time period numbers with interactive power requirements. The second formula represents that the regional balancing market transaction results meet the requirements of interactive power reduction. The third and fourth formulas represent the requirements of meeting the requirements of regional peak-to-valley difference reduction. and For the first The maximum and minimum values ​​of the interaction power of the tie lines, For the The fifth formula represents the requirement to reduce the overload condition of the line. and Line The required lower limits of forward transmission power margin and reverse transmission power margin.

[0061] The transaction results of the regional balancing market should ensure that each user can obtain benefits when participating in the regional balancing market. The economic guarantee constraint of the market subject is expressed as: .

[0062] Step 5: Solve the regional balancing service pricing optimization model to obtain the regional balancing service electricity price.

[0063] It is not difficult to find that the pricing optimization model constructed in this implementation mode takes into account the user's willingness to participate in the market, and promotes more users to actively participate in the regional balancing market. The pricing obtained based on the pricing optimization model in this implementation mode can alleviate the problem of power backfeed of the power grid, so that the interaction power between the regional power grid and the large power grid is kept within a safe range, reduce the peak-to-valley difference in electricity consumption in the region, reduce the overload of power grid lines, and ensure the safe and stable operation of the large power grid.

[0064] The second embodiment of the present invention relates to a regional balancing market pricing device, comprising:

[0065] An acquisition module is used to obtain quotation and quantity information provided by market players participating in the regional balancing market;

[0066] A setting module, used for setting the economic degree weight and the comfort degree weight according to the type of market entities participating in the regional balancing market;

[0067] An adjustment module, used to set a user willingness weight and adjust the user willingness weight according to the quotation and quantity information;

[0068] A construction module is used to construct a regional balancing service pricing optimization model based on the economic weight, the comfort weight and the adjusted user willingness weight, with the goal of minimizing the regional balancing service cost and maximizing the user willingness;

[0069] The solution module is used to solve the regional balancing service pricing optimization model to obtain the regional balancing service electricity price.

[0070] The adjustment module comprises:

[0071] An integration and evaluation unit, used to integrate the quotation and quantity information, and evaluate whether the participation of market players in the regional balancing market meets expectations;

[0072] The adjustment unit is used to reduce the user willingness weight when the participation of the market entities in the regional balancing market meets expectations; and to increase the user willingness weight when the participation of the market entities in the regional balancing market does not meet expectations.

[0073] The objective function of the regional balancing service pricing optimization model constructed by the building block is: ,in, is the regional service cost weight, is the user willingness weight, and , for The regional balancing market in the time period has a unified clearing electricity price. for Time-of-use electricity price of the large power grid, for Participation in the regional balancing market The power consumption / generation capacity after market players participate in the regional balancing market, for Participation in the regional balancing market The original planned electricity consumption / generation capacity of each market player before participating in the regional balancing market; for In the case of regional balancing market during the period of operation The active power of the interconnection line and the large power grid, for When the regional balancing market does not operate during the period The active power exchanged between the interconnection line and the large power grid, For the first The economic weight of each market entity, For the first The comfort weight of each market player, and , For the first The economic degree of each market entity, For the first The comfort level of each market player.

[0074] The economic degree of the market subject is described by the relative change in revenue and expenditure before and after the market subject participates in the regional balance market, expressed as: ,in, For the first The regulation power-price function provided by each market player, The original planned income or expenditure before participating in the regional balancing market.

[0075] The comfort level of the market subject is described by the relative change in electricity consumption or power generation before and after the market subject participates in the regional balancing market, expressed as: .

[0076] The constraints of the regional balancing service pricing optimization model constructed by the construction module include power balance constraints, network constraints, unit operation constraints, pricing economic constraints, pricing range constraints, regional balancing effect constraints and market entity economic guarantee constraints.

[0077] The power balance constraint is expressed as: ,in, for The period does not participate in the regional balancing market The electricity consumption / generation capacity of each market player;

[0078] The network constraints are expressed as: ,in, , and They are the first market players, not participating in the regional balancing market market players and The node where the tie line is located is on the line The generation transfer distribution factor, and Line The forward and reverse power flow slack variables of ;

[0079] The unit operation constraints are expressed as: ,in, and They are Participation in the regional balancing market The power lower and upper limits of each market player, and They are the first Market players from the beginning of the day to The lower and upper limits of the total power consumption during the time period, From the beginning of the day to The time period included in the time period, is the length of time per unit period, and They are Participation in the regional balancing market The lower and upper limits of the ramp-up rate for each market player;

[0080] The pricing economic constraint is expressed as: ,in, The economic benefits of the power grid brought by regional balancing services;

[0081] The pricing range constraint is expressed as: ,in, , They are the lower and upper limits of the regional balancing service electricity price respectively;

[0082] The regional balance effect constraint is expressed as: ,in, and Separately Included The lower and upper limits of the interaction power between the regional power grid and the large power grid during the period, A set of time slot numbers having interactive power requirements; and For the first The maximum and minimum values ​​of the interaction power of the tie lines, For the The upper limit of the peak-to-valley difference of the interactive power of the interconnection lines is required. and Line The required lower limits of the forward transmission power margin and the reverse transmission power margin;

[0083] The economic degree guarantee constraint of the market subject is expressed as: .

[0084] The third embodiment of the present invention relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned regional balancing market pricing method when executing the computer program.

[0085] A fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above-mentioned regional balancing market pricing method when executed by a processor.

[0086] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0087] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0090] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A regional balancing market pricing method, characterized in that: The following steps are involved: Obtain quotation and volume information provided by market players participating in the regional balancing market; Setting economic weights and comfort weights according to the types of market entities participating in the regional balancing market; Setting a user willingness weight, and adjusting the user willingness weight according to the quotation and quantity information; Based on the economic weight, comfort weight and adjusted user willingness weight, a regional balancing service pricing optimization model is constructed with the goal of minimizing the regional balancing service cost and maximizing the user willingness; wherein the objective function of the regional balancing service pricing optimization model is: Among them, v1 is the regional service cost weight, v2 is the user willingness weight, and v1+v2=1,v1≠0,v1>v2,λ t is the unified clearing electricity price for the regional balancing market during period t, is the time-of-use electricity price of the large power grid during period t, P i,t is the power consumption / generation power of the ith market entity participating in the regional balancing market in period t after participating in the regional balancing market, P 0,i,t Q is the original planned electricity consumption / generation power of the i-th market entity participating in the regional balancing market before participating in the regional balancing market in period t; k,t is the active power of the kth tie line interacting with the large power grid when the regional balancing market is running during period t, Q 0,k,t is the active power exchanged between the kth tie line and the large power grid when the regional balancing market is not running during period t, ω 1,i is the economic weight of the ith market entity participating in the regional balancing market, ω 2,i is the comfort weight of the ith market player participating in the regional balancing market, and ω 1,i +ω 2,i =1,θ 1,i is the economic degree of the i-th market entity participating in the regional equilibrium market, θ 2,i is the comfort level of the ith market player participating in the regional balancing market, ω 1,i θ 1,i +ω 2,i θ 2,i represents the willingness of the ith market entity to participate in the regional balancing market, wherein the economic degree of the market entity is described by the relative change in revenue and expenditure before and after the market entity participates in the regional balancing market; the comfort degree of the market entity is described by the relative change in electricity consumption or power generation before and after the market entity participates in the regional balancing market; The regional balancing service pricing optimization model is solved to obtain the regional balancing service electricity price.

2. The regional balancing market pricing method according to claim 1, characterized in that: The step of adjusting the user willingness weight according to the quotation and quotation information is as follows: Integrate the quotation and volume information to assess whether the participation of market players in the regional balancing market is in line with expectations; If the participation of market players in the regional balancing market meets expectations, the user willingness weight is reduced; if the participation of market players in the regional balancing market does not meet expectations, the user willingness weight is increased.

3. The regional balancing market pricing method according to claim 1, characterized in that: The economic degree of the market entity is expressed as: Among them, f i () is the regulating power-price function provided by the i-th market entity participating in the regional balancing market, and R0 is the original planned income or expenditure before participating in the regional balancing market.

4. The regional balancing market pricing method according to claim 1, characterized in that: The comfort level of the market players is expressed as:

5. The regional balancing market pricing method according to claim 1, characterized in that: The constraints of the regional balancing service pricing optimization model include power balance constraints, network constraints, unit operation constraints, pricing economic constraints, pricing range constraints, regional balancing effect constraints and market entity economic guarantee constraints.

6. The regional balancing market pricing method according to claim 5, characterized in that: The power balance constraint is expressed as: Among them, P j,t is the electricity consumption / generation power of the jth market entity that does not participate in the regional balancing market during period t; The network constraints are expressed as: Among them, G l-i , G l-j and G l-k are the generation transfer distribution factors of line l for the i-th market entity participating in the regional balancing market, the j-th market entity not participating in the regional balancing market, and the node where the k-th tie line is located, and are the forward power flow slack variable and reverse power flow slack variable of line l respectively; The unit operation constraints are expressed as: in, and are the lower and upper limits of power of the ith market entity participating in the regional balancing market during period t, and are the lower and upper limits of the total electricity consumption of the ith market entity participating in the regional balancing market from the beginning of the day to the t period, τ is the period from the beginning of the day to the t period, Δt is the time length of the unit period, and are the lower and upper limits of the climbing rate of the ith market entity participating in the regional balancing market during period t; The pricing economic constraint is expressed as: Among them, M value The economic benefits of the power grid brought by regional balancing services; The pricing range constraint is expressed as: min ≤λ t ≤λ max , where λ min , max They are the lower and upper limits of the regional balancing service electricity price respectively; The regional balance effect constraint is expressed as: in, and The set T p The lower and upper limits of the interaction power between the regional power grid and the large power grid during the period t, T p A set of time slot numbers having interactive power requirements; and is the maximum and minimum value of the kth tie line interaction power in a day, is the upper limit of the peak-to-valley difference of the interaction power of the kth tie line, and are the required lower limits of the forward transmission power margin and reverse transmission power margin of line l respectively; The economic degree guarantee constraint of the market subject is expressed as:

7. A regional balancing market pricing device, characterized in that: include: An acquisition module is used to obtain quotation and quantity information provided by market players participating in the regional balancing market; A setting module, used for setting the economic degree weight and the comfort degree weight according to the type of market entities participating in the regional balancing market; An adjustment module, used to set a user willingness weight and adjust the user willingness weight according to the quotation and quantity information; A construction module is used to construct a regional balancing service pricing optimization model based on the economic weight, comfort weight and adjusted user willingness weight, with the goal of minimizing the regional balancing service cost and maximizing the user willingness; wherein the objective function of the regional balancing service pricing optimization model is: Among them, v1 is the regional service cost weight, v2 is the user willingness weight, and v1+v2=1,v1≠0,v1>v2,λ t is the unified clearing electricity price for the regional balancing market during period t, is the time-of-use electricity price of the large power grid during period t, P i,t is the power consumption / generation power of the ith market entity participating in the regional balancing market in period t after participating in the regional balancing market, P 0,i,t Q is the original planned electricity consumption / generation power of the i-th market entity participating in the regional balancing market before participating in the regional balancing market in period t; k,t is the active power of the kth tie line interacting with the large power grid when the regional balancing market is running during period t, Q 0,k,t is the active power exchanged between the kth tie line and the large power grid when the regional balancing market is not running during period t, ω 1,i is the economic weight of the ith market entity participating in the regional balancing market, ω 2,i is the comfort weight of the ith market player participating in the regional balancing market, and ω 1,i +ω 2,i =1,θ 1,i is the economic degree of the i-th market entity participating in the regional equilibrium market, θ 2,i is the comfort level of the ith market player participating in the regional balancing market; ω 1,i θ 1,i +ω 2,i θ 2,i represents the willingness of the ith market entity to participate in the regional balancing market, wherein the economic degree of the market entity is described by the relative change in revenue and expenditure before and after the market entity participates in the regional balancing market; the comfort degree of the market entity is described by the relative change in electricity consumption or power generation before and after the market entity participates in the regional balancing market; The solution module is used to solve the regional balancing service pricing optimization model to obtain the regional balancing service electricity price.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the regional balancing market pricing method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the regional balancing market pricing method according to any one of claims 1 to 6 are implemented.

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