Simulation platform for distributed hybrid cloud energy storage to participate in electricity transaction market and implementation method

Abstract

The embodiment of the invention provides a simulation platform for distributed hybrid cloud energy storage to participate in a power transaction market and an implementation method, and the simulation platform comprises a configuration module which is used for setting operation simulation parameters of an operation simulation module and market simulation parameters of a market simulation module according to the input of a user; the operation simulation module is used for simulating the operation condition of the distributed hybrid energy storage system in the power distribution network through a pre-constructed energy storage model based on the operation simulation parameters and the operation strategy of the energy storage system, obtaining an energy storage planning result, displaying the energy storage planning result to a user, and sending the energy storage planning result to the market simulation module through a data interface; and the market simulation module is used for simulating the transaction behavior of the distributed hybrid energy storage system participating in the electricity market in the day-ahead and intra-day two stages through a bidding clearing model based on the market simulation parameters and the market bidding strategy, obtaining a market simulation result and displaying the market simulation result to the user. And the market simulation result is transmitted to the operation simulation module through the data interface.

Description

Technical Field

[0001] This document relates to the field of energy storage simulation technology, and in particular to a simulation platform and implementation method for distributed hybrid cloud energy storage participating in the electricity trading market. Background Art

[0002] As the construction of new power systems continues to deepen, a high proportion of new energy access and an open and flexible power market will become the basic characteristics and development trends of the power system. On the one hand, the new distribution network will present a complex, diversified and flexible development trend. The access of a high proportion of random and volatile new energy units poses new challenges to the safe, stable and flexible operation of the distribution network system; on the other hand, the open and flexible power market has also injected new vitality into the new distribution network, significantly improving the flexibility, reliability and economy of the system operation. As a key technology of the new power system, distributed hybrid energy storage technology will become an important means to solve the instability of new energy output and ensure the reliable operation of the power grid. At the same time, it will also become the main body active in the new power market.

[0003] At present, there is a lack of advanced distributed hybrid cloud energy storage simulation platforms for new power systems in China. A lot of manual calculations are required, which puts a heavy workload on grassroots personnel and makes it difficult for power companies to fully grasp the operation of distribution networks after energy storage at different locations and capacities are connected. Therefore, there is an urgent need for a technical solution for a simulation platform for distributed hybrid cloud energy storage to participate in the power trading market. Summary of the invention

[0004] The purpose of the present invention is to provide a simulation platform and implementation method for distributed hybrid cloud energy storage participating in the electricity trading market, aiming to solve the above-mentioned problems in the prior art.

[0005] The present invention provides a simulation platform for distributed hybrid cloud energy storage to participate in the power trading market, which is constructed using cloud computing technology, supports distributed computing and storage, and supports dynamic resource expansion. The simulation platform specifically includes:

[0006] A configuration module, used to set the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input;

[0007] An operation simulation module is used to simulate the operation status of the distributed hybrid energy storage system in the distribution network through a pre-built energy storage model based on the operation simulation parameters and the energy storage system operation strategy, obtain the energy storage planning results and display them to the user, and send the energy storage planning results to the market simulation module through the data interface;

[0008] The market simulation module is used to simulate the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market on the day before the day through a bidding clearing model based on the market simulation parameters and the market bidding strategy, obtain the market simulation results and display them to the user, and transmit the market simulation results to the operation simulation module through the data interface.

[0009] The present invention provides a method for implementing a simulation platform for distributed hybrid cloud energy storage to participate in an electricity trading market, which is used for the simulation platform for distributed hybrid cloud energy storage to participate in an electricity trading market. The method specifically includes:

[0010] Setting the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input;

[0011] Based on the operation simulation parameters and the energy storage system operation strategy, the operation status of the distributed hybrid energy storage system in the distribution network is simulated by a pre-built energy storage model, the energy storage planning result is obtained and displayed to the user, and the energy storage planning result is sent to the market simulation module through the data interface;

[0012] Based on the market simulation parameters and market bidding strategy, the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market is simulated by the bidding clearing model, the market simulation results are obtained and displayed to the user, and the market simulation results are transmitted to the operation simulation module through the data interface.

[0013] The embodiment of the present invention integrates two core functional modules, operation simulation and market simulation, and can comprehensively evaluate the reliability and economy of the distributed hybrid energy storage system in the new power system. The technical solution of the embodiment of the present invention provides strong technical support and decision-making basis for power grid companies, energy storage operators and related research institutions through highly integrated and collaborative technical means. It can meet the relevant business needs of power companies, support distributed hybrid energy storage to participate in supporting distribution network operation simulation and power market transaction simulation and other real business needs, and solve the problem of the lack of simulation tools in China that can visualize topological models and simulation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0015] Figure 1It is a schematic diagram of a simulation platform for distributed hybrid cloud energy storage participating in a power trading market according to an embodiment of the present invention;

[0016] Figure 2 It is a detailed architecture diagram of a simulation platform for distributed hybrid cloud energy storage participating in the power trading market according to an embodiment of the present invention;

[0017] Figure 3 It is a schematic diagram of the operation process of a simulation platform for distributed hybrid cloud energy storage participating in a power trading market according to an embodiment of the present invention;

[0018] Figure 4 It is a data logic and calculation flow chart of the power trading market according to an embodiment of the present invention;

[0019] Figure 5 This is a main structure diagram of the power trading market in an embodiment of the present invention;

[0020] Figure 6 It is a flow chart of the implementation method of the simulation platform for the participation of distributed hybrid cloud energy storage in the electricity trading market in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0022] Device Embodiment

[0023] According to an embodiment of the present invention, a simulation platform for distributed hybrid cloud energy storage participating in the power trading market is provided, which is built using cloud computing technology, supports distributed computing and storage, and supports dynamic resource expansion. Figure 1 Schematic diagram of a simulation platform for distributed hybrid cloud energy storage participating in a power trading market according to an embodiment of the present invention. Figure 1 As shown, the simulation platform for distributed hybrid cloud energy storage participating in the power trading market according to an embodiment of the present invention specifically includes:

[0024] The configuration module 10 is used to set the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input; the configuration module 10 is specifically used to: provide a configuration interface for the operation simulation parameters and the market simulation parameters through a visual interface, wherein the operation simulation parameters specifically include: power grid topology, distributed hybrid cloud energy storage system configuration, and simulation time granularity; the market simulation parameters specifically include: market parameters, market rules and simulation time granularity.

[0025] The operation simulation module 12 is used to simulate the operation status of the distributed hybrid energy storage system in the distribution network through a pre-built energy storage model based on the operation simulation parameters and the energy storage system operation strategy, obtain the energy storage planning results and display them to the user, and send the energy storage planning results to the market simulation module through the data interface; the operation simulation module 12 is further used to: optimize the energy storage system operation strategy according to the market simulation results; the operation simulation module 12 is specifically used to:

[0026] Based on the market simulation parameters and market bidding strategy, the distributed hybrid energy storage system's trading behavior in the power market is simulated to achieve grid topology construction, operation simulation of energy storage / load / distributed energy, demand response mechanism, power trading, real-time electricity price simulation, and user-side response behavior to electricity prices and power supply reliability. Specifically:

[0027] Call the existing power grid architecture and parameters from the database, and provide an interface for users to customize the power grid topology structure, so that users can input and modify node parameters, line parameters and load parameters;

[0028] Freely adjust the time step and / or time resolution during simulation based on user input according to the complexity of the specific application scenario and the requirements for result accuracy;

[0029] Construct a detailed energy storage model to simulate the key characteristics of these energy storage systems, such as the charging and discharging process, efficiency loss, and life attenuation; wherein the energy storage model specifically includes: an electric energy storage model, a thermal energy storage model, a hydrogen energy storage model, and a coupling model between them;

[0030] Integrate demand response mechanism to simulate user-side response behavior to electricity prices and power supply reliability.

[0031] The market simulation module 14 is used to simulate the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market through the bidding clearing model based on the market simulation parameters and the market bidding strategy, obtain the market simulation results and display them to the user, and transmit the market simulation results to the operation simulation module through the data interface. The market simulation module 14 is further used to optimize the market bidding strategy according to the energy storage planning results. The market simulation module 14 is specifically used to:

[0032] Based on the market simulation parameters and market bidding strategy, the trading behavior of the distributed hybrid energy storage system participating in the power market is simulated to realize the economic simulation functions of day-ahead bidding, intraday real-time rolling calculation, and market disturbance response. Specifically:

[0033] Construct a day-ahead bidding clearing model, perform classified calculations on the electric energy market and the frequency regulation market, automatically calculate the clearing results based on the declared parameters entered by the user, and display the relevant calculation results;

[0034] Real-time rolling calculation within the day, conduct bidding and clearing calculations for each period within the day, use the optimization results of the previous period as the input for the next stage of calculation, and dynamically adjust the bidding strategy and market clearing results based on real-time market information and simulation results;

[0035] The built-in disturbance program simulates and calculates the market under various disturbance environments and provides risk assessment functions to evaluate the benefits and risks of energy storage systems under different market conditions.

[0036] The result display model and report generation tool are used to display charts, export data and customize reports, and generate detailed simulation reports and analysis results according to user needs.

[0037] The technical solution of the embodiment of the present invention constructs an application and economic simulation platform based on cloud architecture in which distributed hybrid energy storage participates in supporting the operation of the distribution network. The application function reflects the distributed energy storage operation simulation, and the economic function reflects the distributed energy storage market simulation. The two major functional modules cooperate with each other and operate in a coordinated manner, providing strong technical support for the operation control strategy and economic evaluation analysis under the optimal profit of the distributed energy storage operator.

[0038] The technical solution of the embodiment of the present invention is described in detail below with reference to the accompanying drawings.

[0039] To build the distributed hybrid energy storage system to participate in the operation simulation function of supporting the distribution network, it is necessary to support the input function of information such as grid topology, operation information of energy storage / load / distributed energy, demand response information, power trading, real-time electricity price, etc., as well as the output function of power flow analysis, energy storage participating in the operation of distribution system dispatch / service, and the calculation results of electric energy / power of each party; the distributed hybrid cloud energy storage system participates in the power market simulation function of supporting the operation of the power grid, which needs to support the input function of demand response information and the simulation results of energy storage participating in the operation service of the power grid from the operation simulation platform, as well as the output function of calculation results such as transaction information, real-time electricity price, economic analysis, etc. The operation simulation module needs to build the grid form, node parameters, simulation granularity, reserve model, etc., including the algorithm call node and software parameter interaction. The power trading market simulation module includes the two-stage process of the day before and within the day, as well as market parameters, bidding clearing model, result display model and other modules. The day-ahead bidding and clearing program calculates the subject's declared parameters and clearing results, including the classification of the electric energy market and the frequency regulation market and the corresponding calculation indicators; the intraday real-time rolling calculation program includes the bidding and clearing and operation simulation rules for each period, the overall market settlement rules, etc.; the disturbance program supports the calculation of disturbance parameters and operation simulation stage clearing. The specific operation process is as follows: Figure 3 shown.

[0040] The specific technical solutions are as follows:

[0041] The simulation platform for distributed hybrid cloud energy storage participating in the power trading market according to the embodiment of the present invention has a specific architecture as follows: Figure 2 As shown in the figure, the platform integrates two core functional modules: operation simulation and market simulation, aiming to comprehensively evaluate the reliability and economy of distributed hybrid energy storage systems in new power systems. The platform provides strong technical support and decision-making basis for power grid companies, energy storage operators and related research institutions through highly integrated and coordinated technical means. Specifically, it includes:

[0042] Based on cloud architecture, the platform is built with cloud computing technology, supports distributed computing and storage, and ensures efficient and stable operation under high-concurrency simulation tasks. At the same time, the platform supports dynamic resource expansion to meet simulation needs of different scales and complexities;

[0043] The platform is modularly designed and consists of two core parts: the operation simulation module and the market simulation module. The operation simulation module focuses on simulating the operation of the distributed hybrid energy storage system in the distribution network, including key elements such as grid topology construction, operation simulation of energy storage / load / distributed energy, demand response mechanism, power trading and real-time electricity prices; the market simulation module focuses on simulating the trading behavior of energy storage systems participating in the power market, including economic simulation functions such as day-ahead bidding, intraday real-time rolling calculation, and market disturbance response;

[0044] Data interaction and collaboration: The two functional modules are seamlessly connected through data interfaces, ensuring that the energy storage planning results obtained in the operation simulation can be fed back to the market simulation module in real time, providing data support for the formulation of market bidding strategies. At the same time, the output results of the market simulation module can also provide feedback to the operation simulation module, further optimizing the operation strategy of the energy storage system.

[0045] Highly customizable and visualized, the platform supports users to customize simulation scenarios according to specific needs, including power grid topology, energy storage system configuration, market rules, etc. At the same time, it provides an intuitive visualization interface to display key data, charts and analysis results during the simulation process, making it easier for users to understand and evaluate the simulation results. In addition, users can input the basic topology parameters and algorithm basic parameters of the simulation platform through the visualization interface;

[0046] Intelligent analysis and optimization: The platform has built-in multiple advanced algorithms and models to support intelligent analysis and optimization of the operation strategy and market bidding strategy of the energy storage system. Through these advanced algorithms, the platform can automatically adjust simulation parameters to improve simulation accuracy and efficiency.

[0047] like Figure 3 As shown, the running simulation module includes building a grid form, node parameters, simulation granularity, energy storage model, etc., including algorithm call nodes and software parameter interactions.

[0048] Grid construction and parameter setting: supports calling existing grids and parameters from the database, and also supports user-defined grid topology, including but not limited to user input and modification of node parameters, line parameters, load parameters and other parameters;

[0049] Provides different simulation time granularity settings. Users can freely adjust the time step or time resolution during the simulation process according to the complexity of the specific application scenario and the requirements for result accuracy, thereby ensuring the accuracy and reliability of the results;

[0050] Energy storage system simulation, building detailed energy storage models, including electric energy storage models, thermal energy storage models, hydrogen energy storage models and coupling models between them, etc. Simulate the key characteristics of these energy storage systems such as charging and discharging processes, efficiency losses and life attenuation;

[0051] Demand response and power trading: integrating demand response mechanisms to simulate user-side response behaviors to electricity prices and power supply reliability;

[0052] like Figure 4 and Figure 5 As shown, the market simulation module includes a two-stage process of the day before and within the day, as well as modules such as market parameters, auction clearing model, and result display model.

[0053] Day-ahead bidding and clearing builds a day-ahead bidding and clearing model, supporting classified calculations for the electric energy market and the frequency regulation market. Users can enter the declared parameters, and the system automatically calculates the clearing results and displays the relevant calculation results;

[0054] Real-time rolling calculation within the day supports bidding and clearing calculations for each period within the day. The optimization results of the previous period are used as the input for the next stage of calculation, and the bidding strategy and market clearing results are dynamically adjusted according to the real-time market information and simulation results;

[0055] Market disturbance and risk assessment: Built-in disturbance program supports simulation and calculation of the market under various disturbance environments. At the same time, it provides risk assessment function to evaluate the benefits and risks of energy storage systems under different market conditions;

[0056] The result display model provides a variety of result display models and report generation tools, including chart display, data export and report customization. Users can generate detailed simulation reports and analysis results according to their needs.

[0057] In actual applications, select a case and click on it to enter the topology building interface. The basic properties of voltage source include basic information. The basic information includes the voltage source name, the maximum and minimum values ​​of node voltage, the actual value of node voltage, and the active and reactive power injected by the node; users can modify and adjust the basic property values ​​according to their needs, and click OK to successfully edit. The basic properties of line include basic information. The basic information includes resistance, reactance, conductance, susceptance, and maximum capacity of the line. Users can modify and adjust the basic property values ​​according to their needs, and click OK to successfully edit. The basic properties of photovoltaic include basic information. The basic information includes photovoltaic name and output curve; the photovoltaic curve includes curve entry method, data source, and curve display. Users can modify and adjust the basic property values ​​according to their needs, and click OK to successfully edit. The basic properties of wind turbine include basic information. The basic information includes wind turbine name and output curve; the wind turbine curve includes curve entry method, data source, and curve display. Users can modify and adjust the basic property values ​​according to their needs, and click OK to successfully edit. The basic properties of load include basic information. Basic information includes load name, electric load data, and thermal load data; load curve includes curve entry method, data source, and curve display. Users can modify and adjust basic attribute values ​​according to their needs, and click OK to successfully edit. Conventional basic attributes include basic information. Basic information includes conventional unit name, output upper and lower limits, climbing rate upper and lower limits, and output curve; derailment unit curve includes curve entry method, data source, and curve display. Users can modify and adjust basic attribute values ​​according to their needs, and click OK to successfully edit.

[0058] After the user completes the energy storage parameter entry and saves it, click Run to perform the simulation calculation. The simulation results show the overview, energy storage planning results, node information, and branch information. Select the energy storage parameter settings and enter the specific parameter content. When the system is set up, select Run to perform the simulation calculation. After the user completes the simulation, he can perform market simulation calculations and output the simulation calculation results.

[0059] Method Embodiment

[0060] According to an embodiment of the present invention, a method for implementing a simulation platform for distributed hybrid cloud energy storage to participate in a power trading market is provided, which is used for the above-mentioned simulation platform. Figure 6 is a schematic diagram of a method for implementing a simulation platform for distributed hybrid cloud energy storage participating in a power trading market according to an embodiment of the present invention, such as Figure 6 As shown, the implementation method of the simulation platform for the distributed hybrid cloud energy storage participating in the power trading market according to the embodiment of the present invention specifically includes:

[0061] Step S601, setting the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input; specifically, providing a configuration interface for the operation simulation parameters and the market simulation parameters through a visual interface, wherein the operation simulation parameters specifically include: power grid topology, distributed hybrid cloud energy storage system configuration, and simulation time granularity; the market simulation parameters specifically include: market parameters, market rules and simulation time granularity.

[0062] Step S602, based on the operation simulation parameters and the energy storage system operation strategy, simulate the operation status of the distributed hybrid energy storage system in the distribution network through a pre-built energy storage model, obtain energy storage planning results and display them to the user, and send the energy storage planning results to the market simulation module through the data interface; further, optimize the energy storage system operation strategy according to the market simulation results;

[0063] Step S602 specifically includes: simulating the transaction behavior of the distributed hybrid energy storage system participating in the power market based on the market simulation parameters and market bidding strategy, realizing the construction of power grid topology, operation simulation of energy storage / load / distributed energy, demand response mechanism, power trading, real-time power price simulation, and simulation of the user's response behavior to power price and power supply reliability. Specifically: calling the existing power grid architecture and parameters from the database, and providing an interface for users to customize the power grid topology structure, realizing the user and the input and modification of node parameters, line parameters and load parameters;

[0064] Freely adjust the time step and / or time resolution during simulation based on user input according to the complexity of the specific application scenario and the requirements for result accuracy;

[0065] Construct a detailed energy storage model to simulate the key characteristics of these energy storage systems, such as the charging and discharging process, efficiency loss, and life attenuation; wherein the energy storage model specifically includes: an electric energy storage model, a thermal energy storage model, a hydrogen energy storage model, and a coupling model between them;

[0066] Integrate demand response mechanism to simulate user-side response behavior to electricity prices and power supply reliability.

[0067] Step S603, based on the market simulation parameters and market bidding strategy, simulate the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market in the day before through the bidding clearing model, obtain the market simulation results and display them to the user, and transmit the market simulation results to the operation simulation module through the data interface. Furthermore, optimize the market bidding strategy according to the energy storage planning results.

[0068] Step S603 specifically includes: simulating the trading behavior of the distributed hybrid energy storage system participating in the power market based on the market simulation parameters and market bidding strategy, realizing the economic simulation functions of day-ahead bidding, intraday real-time rolling calculation, and market disturbance response. Specifically: constructing a day-ahead bidding clearing model, performing classified calculations for the electric energy market and the frequency regulation market, automatically calculating the clearing results based on the declared parameters entered by the user, and displaying the relevant calculation results;

[0069] Real-time rolling calculation within the day, conduct bidding and clearing calculations for each period within the day, use the optimization results of the previous period as the input for the next stage of calculation, and dynamically adjust the bidding strategy and market clearing results based on real-time market information and simulation results;

[0070] The built-in disturbance program simulates and calculates the market under various disturbance environments and provides risk assessment functions to evaluate the benefits and risks of energy storage systems under different market conditions.

[0071] The result display model and report generation tool are used to display charts, export data and customize reports, and generate detailed simulation reports and analysis results according to user needs.

[0072] In summary, the embodiments of the present invention meet the relevant business needs of power companies, support distributed hybrid energy storage to participate in supporting distribution network operation simulation and power market transaction simulation and other real business needs, and solve the problem of the lack of simulation tools for topological modeling and visualization of simulation results in China.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A simulation platform for distributed hybrid cloud energy storage participating in the electricity trading market, characterized in that: The simulation platform is constructed using cloud computing technology, supports distributed computing and storage, and supports dynamic resource expansion. The simulation platform specifically includes: A configuration module, used to set the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input; An operation simulation module is used to simulate the operation status of the distributed hybrid energy storage system in the distribution network through a pre-built energy storage model based on the operation simulation parameters and the energy storage system operation strategy, obtain the energy storage planning results and display them to the user, and send the energy storage planning results to the market simulation module through the data interface; The market simulation module is used to simulate the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market on the day before the day through a bidding clearing model based on the market simulation parameters and the market bidding strategy, obtain the market simulation results and display them to the user, and transmit the market simulation results to the operation simulation module through the data interface.

2. The method according to claim 1, characterized in that The operation simulation module is further used to: optimize the energy storage system operation strategy according to the market simulation results; The market simulation module is further used to optimize the market bidding strategy according to the energy storage planning result.

3. The method according to claim 1, characterized in that The configuration module is specifically used to provide a configuration interface for operation simulation parameters and market simulation parameters through a visual interface, wherein the operation simulation parameters specifically include: power grid topology, distributed hybrid cloud energy storage system configuration, and simulation time granularity; the market simulation parameters specifically include: market parameters, market rules and simulation time granularity.

4. The method according to claim 1, characterized in that: The operation simulation module is specifically used for: Based on the market simulation parameters and market bidding strategy, the trading behavior of the distributed hybrid energy storage system participating in the power market is simulated to realize the construction of power grid topology, operation simulation of energy storage / load / distributed energy, demand response mechanism, power trading, real-time electricity price simulation and simulation of the user-side response behavior to electricity price and power supply reliability.

5. The method according to claim 1, characterized in that The market simulation module is specifically used for: Based on the market simulation parameters and market bidding strategy, the transaction behavior of the distributed hybrid energy storage system participating in the power market is simulated to realize the economic simulation functions of day-ahead bidding, intraday real-time rolling calculation, and market disturbance response.

6. The method according to claim 5, characterized in that The market simulation module is specifically used for: Construct a day-ahead bidding clearing model, perform classified calculations on the electric energy market and the frequency regulation market, automatically calculate the clearing results based on the declared parameters entered by the user, and display the relevant calculation results; Real-time rolling calculation within the day, conduct bidding and clearing calculations for each period within the day, use the optimization results of the previous period as the input for the next stage of calculation, and dynamically adjust the bidding strategy and market clearing results based on real-time market information and simulation results; The built-in disturbance program simulates and calculates the market under various disturbance environments and provides risk assessment functions to evaluate the benefits and risks of energy storage systems under different market conditions. The result display model and report generation tool are used to display charts, export data and customize reports, and generate detailed simulation reports and analysis results according to user needs.

7. The device according to claim 4, characterized in that The operation simulation module is specifically used for: Call the existing power grid architecture and parameters from the database, and provide an interface for users to customize the power grid topology structure, so that users can input and modify node parameters, line parameters and load parameters; Freely adjust the time step and / or time resolution during simulation based on user input according to the complexity of the specific application scenario and the requirements for result accuracy; Construct a detailed energy storage model to simulate the key characteristics of these energy storage systems, such as the charging and discharging process, efficiency loss, and life attenuation; wherein the energy storage model specifically includes: an electric energy storage model, a thermal energy storage model, a hydrogen energy storage model, and a coupling model between them; Integrate demand response mechanism to simulate user-side response behavior to electricity prices and power supply reliability.

8. A method for implementing a simulation platform for distributed hybrid cloud energy storage to participate in the power trading market, characterized in that: A simulation platform for use in any one of claims 1 to 7, wherein the method specifically comprises: Setting the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input; Based on the operation simulation parameters and the energy storage system operation strategy, the operation status of the distributed hybrid energy storage system in the distribution network is simulated by a pre-built energy storage model, the energy storage planning result is obtained and displayed to the user, and the energy storage planning result is sent to the market simulation module through the data interface; Based on the market simulation parameters and market bidding strategy, the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market is simulated by the bidding clearing model, the market simulation results are obtained and displayed to the user, and the market simulation results are transmitted to the operation simulation module through the data interface.

9. The method according to claim 8, characterized in that The method further comprises: Optimizing the energy storage system operation strategy according to the market simulation results; The market bidding strategy is optimized according to the energy storage planning results.

10. The method according to claim 8, characterized in that Based on the operation simulation parameters and the energy storage system operation strategy, the operation status of the distributed hybrid energy storage system in the distribution network is simulated by the pre-built energy storage model, specifically including: Setting the operation simulation parameters of the operation simulation module and the market simulation parameters of the market simulation module according to the user's input; Call the existing power grid architecture and parameters from the database, and provide an interface for users to customize the power grid topology structure, so that users can input and modify node parameters, line parameters and load parameters; Freely adjust the time step and / or time resolution during simulation based on user input according to the complexity of the specific application scenario and the requirements for result accuracy; Construct a detailed energy storage model to simulate the key characteristics of these energy storage systems, such as the charging and discharging process, efficiency loss, and life attenuation; wherein the energy storage model specifically includes: an electric energy storage model, a thermal energy storage model, a hydrogen energy storage model, and a coupling model between them; Integrate demand response mechanism to simulate the user's response behavior to electricity price and power supply reliability; Based on the market simulation parameters and the market bidding strategy, the trading behavior of the two-stage distributed hybrid energy storage system participating in the power market is simulated by the bidding clearing model, the market simulation results are obtained and displayed to the user, and the market simulation results are transmitted to the operation simulation module through the data interface, which specifically includes: Construct a day-ahead bidding clearing model, perform classified calculations on the electric energy market and the frequency regulation market, automatically calculate the clearing results based on the declared parameters entered by the user, and display the relevant calculation results; Real-time rolling calculation within the day, conduct bidding and clearing calculations for each period within the day, use the optimization results of the previous period as the input for the next stage of calculation, and dynamically adjust the bidding strategy and market clearing results based on real-time market information and simulation results; The built-in disturbance program simulates and calculates the market under various disturbance environments and provides risk assessment functions to evaluate the benefits and risks of energy storage systems under different market conditions. The result display model and report generation tool are used to display charts, export data and customize reports, and generate detailed simulation reports and analysis results according to user needs.

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