A power and energy storage collaborative transaction system

Abstract

The application relates to the technical field of power operation management, in particular to a power and energy storage collaborative transaction system. The system comprises a service management module for completing power distribution network power and frequency modulation and peak regulation scheduling services, and a collaborative transaction module for completing power distribution network real-time power and energy storage transaction settlement. The service management module comprises an energy storage participation decision component, a peak regulation scheduling decision component and a frequency modulation scheduling decision component. The collaborative transaction module settles corresponding service fees in a peak regulation service or frequency modulation service settlement period. Peak regulation settlement comprises capacity compensation, which refers to compensation for standby capacity that is bid but not called; and power compensation, which refers to discharge settlement of the charge and discharge capacity actually executing the peak regulation instruction. The application helps to enhance the full use of effective resources of the power grid under the background of new energy intervention, enhance the balance and stability of the peak value and frequency of the power distribution network, and realize the optimal allocation of the power distribution network resources.

Description

Technical Field

[0001] This invention relates to the field of power operation and management technology, and in particular to a power and energy storage collaborative trading system. Background Technology

[0002] With the transformation of the global energy landscape, the energy structure will undergo fundamental changes, making the construction of a new power system dominated by new energy sources an inevitable choice. However, the inherent randomness, volatility, and intermittency of new energy power generation conflict with the distribution system's requirements for real-time balance, power quality, and stable security. Against this backdrop, energy dispatch and regulation based on energy storage technology has become an important means to address the integration of new energy and enhance grid flexibility. The storage and output capabilities of energy storage services can be widely applied to smooth power output on the generation side, provide ancillary services such as peak shaving, frequency regulation, and backup on the grid side, and also to peak-valley arbitrage, capacity fee management, and improved power supply reliability on the user side. However, the current distribution network lacks a stable and standardized management and control mechanism for energy storage trading and control, which hinders the synergy between the power and energy storage service systems and limits the potential of the energy storage system and the grid. Summary of the Invention

[0003] The purpose of this invention is to provide a power and energy storage collaborative trading system for realizing the management and scheduling of power and energy storage resources in power systems and new energy sources.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A power and energy storage collaborative trading system includes a service management module for completing power distribution network power and frequency regulation and peak shaving dispatch services, and a collaborative trading module for completing real-time power distribution network power and energy storage trading settlement. The service management module includes an energy storage participation decision component, a peak shaving dispatch decision component, and a frequency regulation dispatch decision component.

[0006] The energy storage participation decision-making component selects an energy storage server by conducting peak shaving and frequency regulation bidding based on the system's peak shaving and frequency regulation demand forecast;

[0007] The peak-shaving bidding process determines the winning energy storage service providers and their deployment order based on either the discharge price (lowest to highest) or the energy storage price (highest to lowest). During intraday operation, charging and discharging commands are issued to the winning energy storage power stations based on actual load conditions. The frequency regulation bidding process selects energy storage service providers based on price priority, performance priority, capacity priority, and on-demand dispatch, ranking them from lowest to highest frequency regulation service price until the frequency regulation demand is met. At any given time, any energy storage service provider can only participate in either peak-shaving or frequency regulation services.

[0008] The peak-shaving dispatch decision component establishes an optimization objective function that combines peak-shaving effect with maximizing the benefits of its own energy storage facilities. It optimizes the output strategy of the free energy storage facilities before predicting actual peak-shaving demand, expressed as follows:

[0009]

[0010] in For optimizing the peak-shaving effect, To optimize weights to maximize benefits, This refers to the peak-shaving effect function. This refers to the benefit function. This refers to the target baseline value for peak shaving effect. This refers to the benchmark value for maximizing benefits; Let t be the load forecast value. This represents the load output of the self-owned energy storage facility at time t. >0 indicates that the energy is output from the self-owned energy storage facility. <0 indicates that the user has their own energy storage facilities to store electrical energy; Indicates the operating efficiency at time t. This represents the operating cost at time t;

[0011] The frequency regulation dispatching decision component optimizes the frequency regulation service dispatching strategy based on the power grid's frequency regulation needs and changes in frequency deviation. Specifically:

[0012] a. Define the frequency regulation output coefficient k as the proportion of frequency regulation output of energy storage, and the proportion of frequency regulation output of other frequency regulation servers is 1-k. The frequency regulation output of energy storage can be expressed as: ;in To contribute to energy storage frequency regulation, For power grid frequency deviation, To provide frequency modulation support for other frequency modulation servers. It is the droop coefficient at the energy storage end. This refers to the droop coefficient of the FM server.

[0013] b. Set an appropriate frequency deviation threshold based on the performance of the regional power grid energy storage service terminal and the power grid frequency regulation requirements. When the real-time frequency deviation amplitude of the distribution network At this time, increasing the proportion of battery energy storage frequency regulation output and decreasing the proportion of pumped hydro storage frequency regulation output can effectively reduce the maximum frequency deviation and shorten the inertial response time; preferably, at this time, take ;

[0014] When the real-time frequency deviation amplitude of the distribution network When this is the case, reduce the proportion of battery energy storage frequency regulation output to extend the life of the energy storage terminal; preferably, at this time, take ,in This refers to the absolute value of the real-time deviation threshold;

[0015] The collaborative transaction module settles the corresponding service fees within the settlement period of peak shaving or frequency regulation services;

[0016] Peak shaving settlement includes: capacity compensation, which refers to compensation for the reserve capacity that was won in the bid but not used; and power compensation, which refers to the settlement of the discharge amount for the actual charging and discharging of the peak shaving command.

[0017] The settlement price for discharge is based on the marginal price of market clearing or the bid price of the winning energy storage provider.

[0018] Energy storage peak-shaving transactions are settled based on the integral electricity generated by the charging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price; energy storage peak-load transactions are settled based on the integral electricity generated by the discharging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price.

[0019] The frequency regulation service settlement includes: when the frequency regulation service occurs before the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to public generating units that do not participate in the frequency regulation ancillary service based on a proportional allocation method according to the amount of electricity generated; when the frequency regulation service occurs after the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to the power generation enterprises and electricity users for joint sharing according to the ratio of the electricity consumption of market-based users and the amount of electricity generated that does not participate in the electricity market transaction; the frequency regulation service fee borne by the electricity users is included in the system operation fee and is settled along with the electricity bill.

[0020] Further improvements or preferred implementations of the aforementioned power and energy storage collaborative trading system include the following: during peak-shaving bidding, when bids are the same, priority is given to calling energy storage charging; when bids for energy storage facilities are the same, priority is given to those with larger capacity; when capacity is also the same, priority is given to those with time. During intraday operation, the dispatching agency issues charging and discharging instructions to the winning energy storage power station based on the actual load.

[0021] In a further improved or preferred embodiment of the aforementioned power and energy storage collaborative trading system, the frequency regulation dispatching decision component adopts a dynamic energy storage-side droop coefficient control strategy to optimize the energy storage-side frequency regulation dispatching process, specifically:

[0022] Define dynamic energy storage frequency regulation and dispatch coefficients and its limit value Set the maximum energy storage capacity of the energy storage terminal. High-level energy storage Low-level energy storage Minimum energy storage ; Let the energy storage end droop coefficient be... ;

[0023] When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients ;

[0024] When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients

[0025] .

[0026] In a further improved or preferred embodiment of the aforementioned power and energy storage collaborative trading system, the peak-shaving dispatch decision component is also used to control the output power to be adjusted in real time by the power output control system according to the regional power control deviation within the allowable output adjustment range of the generator set and energy storage facility to meet the power control requirements.

[0027] In a further improvement or preferred implementation of the aforementioned power and energy storage collaborative trading system, the peak-shaving bidding also includes:

[0028] The transaction control is carried out by adopting a centralized bidding model. After determining the bidding range and minimum bidding unit for peak shaving transactions, the maximum charging and discharging power, available time periods, peak shaving charging power and transaction price declared by energy storage service providers for the next day are obtained for screening. Initial single-segment bids are obtained, and bids exceeding the grid-connected electricity price of grid-parity new energy projects are eliminated.

[0029] When the peak-shaving and peak-load trading times conflict, peak-load trading takes priority. If the energy storage service providers who win both peak-shaving and peak-load trading bids are selected, the transaction type with the higher compensation fee will be chosen or the final actual bid result will be determined based on the service provider's selection. If the bids are the same, energy storage charging will be prioritized. If the bids for energy storage facilities are the same, the larger capacity will be prioritized. If the capacities are also the same, the time priority will be prioritized.

[0030] Among them, energy storage peak shaving refers to the energy storage facilities consuming their energy storage capacity to absorb surplus electricity from the distribution network; energy storage peak trading refers to the energy storage facilities releasing stored electricity during peak load periods of the distribution network.

[0031] Further improvements or preferred implementations of the aforementioned power and energy storage collaborative trading system,

[0032] The method for calculating the frequency modulation ancillary service fee is as follows: ,in This refers to the performance rating coefficient of the i-th frequency modulation server, where M refers to the effective frequency modulation mileage. This refers to the unit price per mileage for frequency modulation over time.

[0033] Further improvements or preferred implementations of the aforementioned power and energy storage collaborative trading system include: in the day-ahead market, the energy storage participation decision-making component adopts a centralized optimization clearing mode based on safety constraints and economic dispatch, aiming to determine the clearing result with the goal of minimizing the overall power purchase cost; in the intraday market, it adopts a continuous or rolling matching trading method, and according to the principle of "price priority and time priority", it performs real-time priority matching of the order declarations of both parties with historical buying and selling transactions.

[0034] In a further improved or preferred embodiment of the aforementioned power and energy storage collaborative trading system, the energy storage participation decision component is also used to: dynamically calculate the end-end SOH attenuation cost of the energy storage server based on the current SOH, charge / discharge depth and temperature factors, and use the attenuation cost as a negative component to optimize the bidding decision when making market bidding or charge / discharge decisions.

[0035] In further improvements or preferred implementations of the aforementioned power and energy storage collaborative trading system, the energy storage service terminal refers to a main body or virtual power plant that has an independent metering gateway or is directly connected to the grid side, can participate in grid peak shaving and peak trading as an independent entity, and has a charging and discharging scale of not less than 1MW / 2MWh and active control functions.

[0036] Its beneficial effects are as follows:

[0037] This application optimizes the dispatching strategies and planning schemes of power and energy storage resources in various distribution networks, and establishes and improves an effective dispatching, application and management scheme for energy storage resources during power grid peak and frequency regulation. This helps to enhance the full utilization of power grid resources under the background of new energy intervention, enhance the balance and stability of peak and frequency of distribution networks, and achieve the optimal allocation of distribution network resources. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the structure and function of the power and energy storage collaborative trading system. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0040] This invention relates to a power and energy storage collaborative trading system, the basic structure and functional components of which are as follows: Figure 1 As shown, it mainly includes a service management module for completing power distribution network and frequency regulation and peak shaving dispatch services, and a collaborative transaction module for completing real-time power distribution network and energy storage transaction settlement.

[0041] The service management module is used to determine the peak shaving and frequency regulation transaction needs that may need to be carried out in the next trading cycle based on real-time data provided by the distribution network load forecasting system and the external energy storage service access system. It calls the external bidding system to complete the centralized bidding for the peak shaving and frequency regulation needs, so as to determine the service entity to complete the peak shaving and frequency regulation operation. The service management module can be divided into energy storage participation decision component, peak shaving dispatch decision component, and frequency regulation dispatch decision component according to its functional composition.

[0042] Peak shaving trading refers to the peak shaving service provided by independent energy storage power stations on the grid side, based on the principle of voluntary participation in market transactions and in accordance with the instructions of the power dispatching agency, when the power grid has peak shaving demand. At present, the amount of electricity that independent energy storage facilities participate in peak shaving services is the charging electricity. It includes two main categories: energy storage peak shaving trading and energy storage peak trading. Energy storage peak shaving trading refers to the transaction in which energy storage facilities absorb surplus electricity to release new energy consumption space and obtain price compensation during periods of difficulty in peak shaving, such as wind and solar curtailment. Energy storage peak trading refers to the transaction in which energy storage facilities release stored electricity to alleviate power supply pressure and obtain price compensation during periods of tight power supply and demand, such as peak load. Frequency regulation refers to the process in which generator sets or energy storage resources automatically adjust their active power output according to frequency deviation in order to maintain the stability of the power grid frequency.

[0043] The energy storage participation decision-making component selects an energy storage server by conducting peak shaving and frequency regulation bidding based on the system's peak shaving and frequency regulation demand forecast;

[0044] Peak-shaving bidding refers to determining the winning energy storage service and its call order according to the principle of discharging bids from low to high or storing bids from high to low; during daytime operation, charging and discharging instructions are issued to the winning energy storage power station based on the actual load situation.

[0045] Frequency regulation bidding follows the principles of price priority, performance priority, capacity priority, and on-demand dispatch. Energy storage service providers are selected based on the frequency regulation service price from low to high until the frequency regulation demand is met. At any given time, any energy storage service provider can only participate in either peak shaving or frequency regulation services.

[0046] To further integrate historical information from the grid trading and dispatching, improve trading efficiency, and stabilize trading relationships, in this embodiment, the energy storage participation decision-making component also uses a centralized optimization clearing mode based on safety constraints and economic dispatch in the day-ahead market to determine the clearing result with the goal of minimizing the overall electricity purchase cost. In the intraday market, a continuous or rolling matching trading method is adopted, and the orders submitted by both parties with historical buy and sell transactions are matched in real time according to the principle of "price priority and time priority". This priority matching method simplifies the subsequent matching process of bidding matching, while making full use of the existing foundation and channels of historical trading processes to improve trading speed and distribution network control speed.

[0047] As the supplier of services such as peak shaving and frequency regulation, these entities typically have independent metering gateways or are directly connected to the grid. They can participate in grid peak shaving and peak trading as independent entities. These include various types of energy storage facilities such as electrochemical energy storage, pumped storage, and compressed air energy storage, as well as virtual power plants composed of new energy sources. To ensure the stability of grid regulation, the charging and discharging capacity of their energy storage facilities participating in grid peak shaving and peak trading is generally not less than 1MW / 2MWh. They must have active control functions, their regulation performance must meet relevant requirements, and they must be connected to the dispatching agency to achieve real-time monitoring of charging and discharging information. As the distribution area level increases, the corresponding specifications and technical requirements also become higher.

[0048] The peak-shaving dispatch decision component is used to complete the server-side dispatch strategy in the peak-shaving transaction process. In actual implementation, the distribution network side usually has large-scale self-owned energy storage facilities (such as pumped storage reservoirs / facilities, kinetic energy storage facilities, etc.) to ensure the long-term stability of the power grid. In the peak-shaving dispatch process, on the one hand, priority should be given to the utilization rate of self-owned energy storage facilities, and on the other hand, the usage cost of free energy storage facilities under different peak-shaving loads should also be considered. Therefore, the peak-shaving dispatch decision component optimizes the output strategy of free energy storage facilities before the actual peak-shaving demand is predicted. Based on the goal and optimization requirements of distribution network peak-shaving dispatch, the optimization objective function that combines the peak-shaving effect and the maximization of the benefits of self-owned energy storage facilities is expressed as:

[0049]

[0050] in For optimizing the peak-shaving effect, To optimize weights to maximize benefits, This refers to the peak-shaving effect function. This refers to the benefit function. This refers to the target baseline value for peak shaving effect. This refers to the benchmark value for maximizing benefits; Let t be the load forecast value. This represents the load output of the self-owned energy storage facility at time t. >0 indicates that the energy is output from the self-owned energy storage facility. <0 indicates that the user has their own energy storage facilities to store electrical energy; Indicates the operating efficiency at time t. This represents the operating cost at time t;

[0051] Typically, a single entity can only acquire one type of peak shaving transaction, either peak or peak shaving, on the same day.

[0052] The frequency regulation dispatching decision component optimizes the frequency regulation service dispatching strategy based on the grid's frequency regulation needs and frequency deviation changes. Currently, frequency regulation ancillary service transactions are limited to secondary frequency regulation services. Frequency regulation ancillary service providers are grid-connected public thermal power units, hydropower units, and independent energy storage facilities. Independent energy storage power stations participating in frequency regulation ancillary service transactions must have a capacity of at least 1 MW. The frequency regulation service market adopts a day-ahead pre-clearing, intraday rolling clearing, and real-time dispatching approach. Its dispatching strategy is as follows:

[0053] a. Define the frequency regulation output coefficient k as the proportion of frequency regulation output of energy storage, and the proportion of frequency regulation output of other frequency regulation servers is 1-k. The frequency regulation output of energy storage can be expressed as: ;in To contribute to energy storage frequency regulation, For power grid frequency deviation, To provide frequency modulation support for other frequency modulation servers. It is the droop coefficient at the energy storage end. This refers to the droop coefficient of the FM server.

[0054] b. Set an appropriate frequency deviation threshold based on the performance of the regional power grid energy storage service terminal and the power grid frequency regulation requirements. When the real-time frequency deviation amplitude of the distribution network At this time, increasing the proportion of battery energy storage frequency regulation output and decreasing the proportion of pumped hydro storage frequency regulation output can effectively reduce the maximum frequency deviation and shorten the inertial response time; preferably, at this time, take ;

[0055] When the real-time frequency deviation amplitude of the distribution network When this is the case, reduce the proportion of battery energy storage frequency regulation output to extend the life of the energy storage terminal; preferably, at this time, take ,in This refers to the absolute value of the real-time deviation threshold;

[0056] In particular, to further consider the adverse impact on the lifespan of the energy storage segment as its output gradually increases during frequency regulation, and to avoid real-time energy storage at the energy storage end... Energy storage exceeds preset threshold To enhance the long-term performance of energy storage and increase its willingness to participate in frequency regulation, a dynamic energy storage droop coefficient control strategy is adopted to optimize the frequency regulation scheduling process. The goal of this strategy is to ensure that, during frequency regulation scheduling, the energy storage capacity does not exceed the maximum capacity and does not fall below the minimum capacity. Specifically, it increases energy storage when it is below a certain level to increase revenue and decreases energy storage when it is above a certain level to reduce equipment losses.

[0057] Define dynamic energy storage frequency regulation and dispatch coefficients and its limit value Set the maximum energy storage capacity of the energy storage terminal. High-level energy storage Low-level energy storage Minimum energy storage ; Let the energy storage end droop coefficient be... ;

[0058] When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients ;

[0059] When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients

[0060]

[0061] The collaborative transaction module settles the corresponding service fees within the settlement period of peak shaving or frequency regulation services;

[0062] Peak shaving settlement includes: capacity compensation, which refers to compensation for the reserve capacity that was won in the bid but not used; and power compensation, which refers to the settlement of the discharge amount for the actual charging and discharging of the peak shaving command.

[0063] The settlement price for discharge is based on the marginal price of market clearing or the bid price of the winning energy storage provider.

[0064] Energy storage peak-shaving transactions are settled based on the integral electricity generated by the charging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price; energy storage peak-load transactions are settled based on the integral electricity generated by the discharging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price.

[0065] Currently, frequency regulation ancillary service transactions are limited to secondary frequency regulation services. The settlement of frequency regulation services includes: when the frequency regulation service occurs before the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to public generating units that do not participate in frequency regulation ancillary services based on a proportional allocation according to power generation; when the frequency regulation service occurs after the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to power generation companies and electricity users based on the ratio of monthly electricity consumption by market-based users to power generation that does not participate in electricity market transactions. The frequency regulation service fee borne by the electricity user is included in the system operating fee and settled along with the electricity bill.

[0066] Peak shaving settlement includes: capacity compensation, which refers to compensation for the reserve capacity that was won in the bid but not used; and power compensation, which refers to the settlement of the discharge volume of the actual charge and discharge volume when the peak shaving command was executed. The unit price of discharge settlement is based on the marginal price of market clearing or the bid price of the winning energy storage itself.

[0067] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A power and energy storage collaborative trading system, comprising a service management module for completing power distribution network power and frequency regulation / peak shaving dispatch services, and a collaborative trading module for completing real-time power and energy storage trading settlement in the power distribution network, characterized in that, The service management module includes an energy storage participation decision-making component, a peak shaving and frequency regulation decision-making component, and a frequency regulation and frequency regulation decision-making component. The energy storage participation decision-making component selects an energy storage server by conducting peak shaving and frequency regulation bidding based on the system's peak shaving and frequency regulation demand forecast. The peak-shaving bidding process determines the winning energy storage service providers and their deployment order based on either the discharge price (lowest to highest) or the energy storage price (highest to lowest). During intraday operation, charging and discharging commands are issued to the winning energy storage power stations based on actual load conditions. The frequency regulation bidding process selects energy storage service providers based on price priority, performance priority, capacity priority, and on-demand dispatch, ranking them from lowest to highest frequency regulation service price until the frequency regulation demand is met. At any given time, any energy storage service provider can only participate in either peak-shaving or frequency regulation services. The peak-shaving dispatch decision component establishes an optimization objective function that combines peak-shaving effect with maximizing the benefits of its own energy storage facilities. It optimizes the output strategy of the free energy storage facilities before predicting actual peak-shaving demand, expressed as follows: in For optimizing the peak-shaving effect, To optimize weights to maximize benefits, This refers to the peak-shaving effect function. This refers to the benefit function. This refers to the target baseline value for peak shaving effect. This refers to the benchmark value for maximizing benefits; Let t be the load forecast value. This represents the load output of the self-owned energy storage facility at time t. >0 indicates that the energy is output from the self-owned energy storage facility. <0 indicates that the user has their own energy storage facilities to store electrical energy; Indicates the operating efficiency at time t. This represents the operating cost at time t; The frequency regulation dispatching decision component optimizes the frequency regulation service dispatching strategy based on the power grid's frequency regulation needs and changes in frequency deviation. Specifically: a. Define the frequency regulation output coefficient k as the proportion of frequency regulation output of energy storage, and the proportion of frequency regulation output of other frequency regulation servers is 1-k. The frequency regulation output of energy storage can be expressed as: ;in To contribute to energy storage frequency regulation, For power grid frequency deviation, To provide frequency modulation support for other frequency modulation servers. It is the droop coefficient at the energy storage end. This refers to the droop coefficient of the FM server. b. Set an appropriate frequency deviation threshold based on the performance of the regional power grid energy storage service terminal and the power grid frequency regulation requirements. When the real-time frequency deviation amplitude of the distribution network At this time, increasing the proportion of battery energy storage frequency regulation output and decreasing the proportion of pumped hydro storage frequency regulation output can effectively reduce the maximum frequency deviation and shorten the inertial response time; preferably, at this time, take ; When the real-time frequency deviation amplitude of the distribution network When this is the case, reduce the proportion of battery energy storage frequency regulation output to extend the lifespan of the energy storage device; preferably, at this time, take ,in This refers to the absolute value of the real-time deviation threshold; The collaborative transaction module settles the corresponding service fees within the settlement period of peak shaving or frequency regulation services; Peak shaving settlement includes: capacity compensation, which refers to compensation for the reserve capacity that was won in the bid but not used; and power compensation, which refers to the settlement of the discharge amount for the actual charging and discharging of the peak shaving command. The settlement price for discharge is based on the marginal price of market clearing or the bid price of the winning energy storage provider. Energy storage peak-shaving transactions are settled based on the integral electricity generated by the charging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price; energy storage peak-load transactions are settled based on the integral electricity generated by the discharging curve of the energy storage facility during the actual call period of the dispatching agency and the corresponding settlement price. The frequency regulation service settlement includes: when the frequency regulation service occurs before the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to public generating units that do not participate in the frequency regulation ancillary service based on a proportional allocation method according to the amount of electricity generated; when the frequency regulation service occurs after the continuous operation of the electricity spot market, the frequency regulation ancillary service fee is allocated to the power generation enterprises and electricity users for joint sharing according to the ratio of the electricity consumption of market-based users and the amount of electricity generated that does not participate in the electricity market transaction; the frequency regulation service fee borne by the electricity users is included in the system operation fee and is settled along with the electricity bill.

2. The power and energy storage collaborative trading system according to claim 1, characterized in that, During peak-shaving bidding, when bids are the same, priority is given to energy storage charging. If bids for energy storage facilities are the same, priority is given to those with larger capacity. If the capacity is also the same, priority is given to those with time. During daytime operation, the dispatching agency issues charging and discharging instructions to the winning energy storage power station based on the actual load.

3. The power and energy storage collaborative trading system according to claim 1, characterized in that, The frequency regulation scheduling decision component adopts a dynamic energy storage-side droop coefficient control strategy to optimize the frequency regulation scheduling process on the energy storage side, specifically: Define dynamic energy storage frequency regulation and dispatch coefficients and its limit value Set the maximum energy storage capacity of the energy storage terminal. High-level energy storage Low-level energy storage Minimum energy storage ; ; Let the energy storage side droop coefficient ; When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients ; When the real-time frequency deviation amplitude of the distribution network When optimizing frequency modulation scheduling coefficients 。 4. The power and energy storage collaborative trading system according to claim 1, characterized in that, The peak-shaving scheduling decision component is also used to control the power output control system to adjust the output power in real time according to the regional power control deviation within the allowable output adjustment range of the generator set and energy storage facility to meet the power control requirements.

5. The power and energy storage collaborative trading system according to claim 1, characterized in that, The peak-shaving bidding also includes: The transaction control is carried out by adopting a centralized bidding model. After determining the bidding range and minimum bidding unit for peak shaving transactions, the maximum charging and discharging power, available time periods, peak shaving charging power and transaction price declared by energy storage service providers for the next day are obtained for screening. Initial single-segment bids are obtained, and bids exceeding the grid-connected electricity price of grid-parity new energy projects are eliminated. When the peak-shaving and peak-load trading times conflict, peak-load trading takes priority. If the energy storage service providers who win both peak-shaving and peak-load trading bids are selected, the transaction type with the higher compensation fee will be chosen or the final actual bid result will be determined based on the service provider's selection. If the bids are the same, energy storage charging will be prioritized. If the bids for energy storage facilities are the same, the larger capacity will be prioritized. If the capacities are also the same, the time priority will be prioritized. Among them, energy storage peak shaving refers to the energy storage facilities consuming their energy storage capacity to absorb surplus electricity from the distribution network; energy storage peak trading refers to the energy storage facilities releasing stored electricity during peak load periods of the distribution network.

6. The power and energy storage collaborative trading system according to claim 1, characterized in that, The method for calculating the frequency modulation ancillary service fee is as follows: ,in This refers to the performance rating coefficient of the i-th frequency modulation server, where M refers to the effective frequency modulation mileage. This refers to the unit price per mileage for frequency modulation over time.

7. The power and energy storage collaborative trading system according to claim 1, characterized in that, The energy storage participation decision-making component adopts a centralized optimization clearing mode based on safety constraints and economic dispatch in the day-ahead market, aiming to determine the clearing result with the goal of minimizing the overall electricity purchase cost; in the intraday market, it adopts a continuous or rolling matching trading method, and according to the principle of "price priority and time priority", it performs real-time priority matching of the order declarations of both parties with historical buying and selling transactions.

8. The power and energy storage collaborative trading system according to claim 1, characterized in that, The energy storage participation decision-making component is also used to: dynamically calculate the end-SOH attenuation cost of the energy storage server based on the current SOH, charge / discharge depth and temperature factors, and use the attenuation cost as a negative component to optimize the bidding decision when making market bidding or charge / discharge decisions.

9. The power and energy storage collaborative trading system according to claim 1, characterized in that, The energy storage service terminal refers to an entity or virtual power plant that has an independent metering gateway or is directly connected to the grid side, can participate in grid peak shaving and peak trading as an independent entity, and has a charging and discharging capacity of not less than 1MW / 2MWh and active control functions.

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