Load feature extraction and energy storage configuration specification strategy method and system in industrial and commercial scene

Abstract

The invention discloses a load feature extraction and energy storage configuration specification strategy method and system in an industrial and commercial scene, the method is applied to configuration of an energy storage system, and the method comprises the steps: obtaining first original power data of a target energy storage system, and obtaining second original power data of a power utilization side energy storage system; constructing an energy storage system configuration model, and processing the first original power data by using the energy storage system configuration model to obtain a first configuration scheme; performing stability analysis on the second original power data by adopting a homotopy analysis method to obtain unstable power utilization data in a preset range interval, and processing the unstable power utilization data by utilizing an energy storage system configuration model to obtain a second configuration scheme of the power utilization side energy storage system; and integrating the first configuration scheme and the second configuration scheme by adopting a greedy algorithm to generate a target configuration strategy based on the target energy storage system. According to the method provided by the embodiment of the invention, reasonable configuration of the energy storage system can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage configuration, and in particular to a method and system for extracting load characteristics and energy storage configuration specification strategies in industrial and commercial scenarios. Background Art

[0002] At the power generation end, the grid connection scale of wind power and photovoltaic power is increasing. To promote the efficient utilization of energy and the safe and stable operation of the power grid, industrial and commercial electricity consumption in many regions has been further expanded. However, the large-scale grid connection of wind power has also exacerbated the impact of the randomness and volatility of wind power, posing new requirements for the safety and stability of the power grid.

[0003] In the prior art, there is currently no good solution to the configuration problem of energy storage systems. If the energy storage system is configured too small, the advantages of the energy storage system cannot be fully utilized; if the energy storage system is configured too large, its control performance and safety performance are relatively low.

[0004] Therefore, how to configure the energy storage system and design a reasonable energy storage system has become an urgent technical problem to be solved by those skilled in the art. Summary of the Invention

[0005] The present invention provides a method and system for extracting load characteristics and energy storage configuration specification strategies in industrial and commercial scenarios to solve the configuration problem of energy storage systems and achieve the effect of grid stability.

[0006] To solve the above technical problems, an embodiment of the present invention provides a method for extracting load characteristics and energy storage configuration specification strategies in industrial and commercial scenarios, which is applied to the configuration of an energy storage system and includes:

[0007] Obtain the first original power data of the target energy storage system, and obtain the second original power data of the energy storage system on the power consumption side that conducts power interaction with the target energy storage system;

[0008] Taking the minimum total operating cost of the target energy storage system and the energy storage system on the power consumption side as the goal, construct an energy storage system configuration model, and use the energy storage system configuration model to process the first original power data to obtain a first configuration plan;

[0009] Use the homotopy analysis method to perform stability analysis on the second original power data to obtain unstable power consumption data within a preset range interval, and use the energy storage system configuration model to process the unstable power consumption data to obtain a second configuration plan for the energy storage system on the power consumption side;

[0010] Use the greedy algorithm to integrate the first configuration plan and the second configuration plan to generate a target configuration strategy based on the target energy storage system;

[0011] Execute the target configuration strategy.

[0012] As one of the preferred solutions, the processing of the first original power data by using the energy storage system configuration model to obtain the first configuration plan includes:

[0013] Perform data preprocessing on the first original power data;

[0014] Input the preprocessed first original power data into the energy storage system configuration model, and use the mixed-integer linear programming algorithm to solve the energy storage system configuration model to obtain the configuration information of the target energy storage system;

[0015] Generate the first configuration plan based on the configuration information.

[0016] As one of the preferred solutions, the stability analysis of the second original power data by using the homotopy analysis method to obtain the unstable power consumption data within a preset range interval includes:

[0017] Perform data preprocessing on the second original power data;

[0018] Construct a homotopy equation based on the preprocessed second original power data, and use the Jacobian matrix to perform stability analysis on the homotopy equation;

[0019] Extract features from the stability analysis results to obtain the unstable power consumption data within a preset range interval.

[0020] As one of the preferred solutions, use the greedy algorithm to integrate the first configuration plan and the second configuration plan to generate a target configuration strategy based on the target energy storage system. The integration process includes:

[0021] With the goal of minimizing the total operating cost of the target energy storage system and the power consumption side energy storage system, use the greedy algorithm to process the first configuration plan and the second configuration plan to generate candidate plans, evaluate the candidate plans according to the goal, and calculate the performance scores of the candidate plans;

[0022] Generate a target configuration strategy based on the target energy storage system according to the evaluation results.

[0023] As one of the preferred solutions, before executing the target configuration strategy, the load characteristic extraction and energy storage configuration specification strategy method in the industrial and commercial scenario further includes:

[0024] Optimize the target configuration strategy by using the holdout method.

[0025] Another embodiment of the present invention provides a load characteristic extraction and energy storage configuration specification strategy system in an industrial and commercial scenario, which is applied to the configuration of an energy storage system and includes:

[0026] An acquisition module, configured to acquire first original power data of a target energy storage system and acquire second original power data of an energy storage system on the power consumption side that conducts power interaction with the target energy storage system;

[0027] A processing module, configured to construct an energy storage system configuration model with the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, and use the energy storage system configuration model to process the first original power data to obtain a first configuration plan;

[0028] An analysis module, configured to perform stability analysis on the second original power data by using the homotopy analysis method to obtain unstable power consumption data within a preset range interval, and use the energy storage system configuration model to process the unstable power consumption data to obtain a second configuration plan for the energy storage system on the power consumption side;

[0029] An integration module, configured to integrate the first configuration plan and the second configuration plan by using a greedy algorithm to generate a target configuration strategy based on the target energy storage system;

[0030] An execution module, configured to execute the target configuration strategy.

[0031] As one of the preferred solutions, the process of using the energy storage system configuration model to process the first original power data to obtain a first configuration plan includes:

[0032] Perform data preprocessing on the first original power data;

[0033] Input the preprocessed first original power data into the energy storage system configuration model, and use the mixed-integer linear programming algorithm to solve the energy storage system configuration model to obtain the configuration information of the target energy storage system;

[0034] Generate the first configuration plan based on the configuration information.

[0035] As one of the preferred solutions, the process of performing stability analysis on the second original power data by using the homotopy analysis method to obtain unstable power consumption data within a preset range interval includes:

[0036] Perform data preprocessing on the second original power data;

[0037] Construct a homotopy equation based on the preprocessed second original power data, and perform stability analysis on the homotopy equation by using the Jacobian matrix;

[0038] Extract features from the stability analysis results to obtain unstable power consumption data within a preset range interval.

[0039] As one of the preferred solutions, the greedy algorithm is used to integrate the first configuration solution and the second configuration solution to generate a target configuration strategy for the target energy storage system. The integration process includes:

[0040] Taking the minimum total operating cost of the target energy storage system and the power-side energy storage system as the goal, the greedy algorithm is used to process the first configuration solution and the second configuration solution to generate candidate solutions. The candidate solutions are evaluated according to the goal, and the performance scores of the candidate solutions are calculated.

[0041] According to the evaluation results, a target configuration strategy for the target energy storage system is generated.

[0042] As one of the preferred solutions, before executing the target configuration strategy, the load feature extraction and energy storage configuration specification strategy system in the industrial and commercial scenario further includes:

[0043] Optimize the target configuration strategy using the holdout method.

[0044] Compared with the prior art, the beneficial effects of the embodiments of the present invention are at least one of the following:

[0045] (1) The method and system for load feature extraction and energy storage configuration specification strategy in the industrial and commercial scenario provided by the present invention take the minimum total operating cost of the target energy storage system and the power-side energy storage system as the goal, establish a practical energy storage system configuration model, and integrate various data of the target energy storage system and the power-side energy storage system to obtain the first configuration solution and the second configuration solution. The greedy algorithm is used to integrate the first configuration solution and the second configuration solution to generate a target configuration strategy for the target energy storage system. This strategy can fully consider the actual situations of the target energy storage system and the power-side energy storage system, as well as the unstable factors in the power system, which makes the strategy highly flexible and reliable during execution, and can be dynamically adjusted according to the actual situation to ensure that the energy storage system always remains in the optimal state. Description of the Drawings

[0046] Figure 1 is a flowchart of the method for load feature extraction and energy storage configuration specification strategy in the industrial and commercial scenario in one embodiment of the present invention;

[0047] Figure 2 is a schematic structural diagram of the load feature extraction and energy storage configuration specification strategy system in the industrial and commercial scenario in one embodiment of the present invention.

[0048] Reference Signs:

[0049] Among them, 11 is an acquisition module; 12 is a processing module; 13 is an analysis module; 14 is an integration module; 15 is an execution module. Specific implementation manners

[0050] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0051] In the description of the present application, the terms "first", "second", "third", etc. are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, features defined with "first", "second", "third", etc. may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0052] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are only for the purpose of illustration, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0053] In the description of the present application, it should be noted that unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as commonly understood by those of ordinary skill in the technical field to which this technology belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0054] An embodiment of the present invention provides a method for extracting load characteristics and configuring energy storage specifications in an industrial and commercial scenario. Specifically, please refer to Figure 1 , Figure 1 which is a schematic flowchart of the method for extracting load characteristics and configuring energy storage specifications in an industrial and commercial scenario in one embodiment of the present invention, and is applied to the configuration of an energy storage system. The method includes:

[0055] S1: Obtain the first original power data of the target energy storage system, and obtain the second original power data of the energy storage system on the power consumption side that conducts power interaction with the target energy storage system;

[0056] S2: With the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, construct an energy storage system configuration model, and use the energy storage system configuration model to process the first original power data to obtain a first configuration plan;

[0057] S3: Adopt the homotopy analysis method to perform stability analysis on the second original power data to obtain unstable power consumption data within a preset range interval, and use the energy storage system configuration model to process the unstable power consumption data to obtain a second configuration plan for the energy storage system on the power consumption side;

[0058] S4: Adopt the greedy algorithm to integrate the first configuration plan and the second configuration plan to generate a target configuration strategy based on the target energy storage system;

[0059] S5: Execute the target configuration strategy.

[0060] In step S1, the first original power data includes the energy storage state data, power input and output data, operating efficiency data, and some historical data of the target energy storage system; the energy storage state data includes the energy storage capacity, state of charge (SOC), depth of discharge (DOD), etc.; the power input and output data includes real-time active power, reactive power, voltage, current, etc.; the operating efficiency data includes the charging efficiency, discharging efficiency, etc.; the historical data includes historical power consumption data, load characteristic data, etc. The second original power data of the energy storage system on the power consumption side includes power demand data, power interaction data, energy storage state data, and operating efficiency data, etc. The power demand data includes real-time power demand, historical power demand, etc.; the power interaction data is a record of power interaction with the target energy storage system, such as interaction power consumption, interaction time, etc.; the energy storage state data also includes the energy storage capacity, state of charge (SOC), depth of discharge (DOD), etc.; the operating efficiency data includes the charging efficiency, discharging efficiency, etc. of the energy storage system on the power consumption side.

[0061] The first original power data of the target energy storage system and the second original power data of the energy storage system on the power consumption side can be obtained from multiple channels such as grid meters, load side management platforms, smart meters and acquisition devices, the display screen of the energy storage control cabinet, and the management systems of power enterprises.

[0062] In step S2, with the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, an energy storage system configuration model is constructed, and the first original power data is processed using the energy storage system configuration model to obtain the first configuration plan.

[0063] Specifically, with the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, and with the range of power and capacity, charge-discharge efficiency, and energy storage of the power system as constraints, decision variables are defined to construct an energy storage system configuration model.

[0064] It should be noted that data preprocessing is performed on the first original power data. The preprocessing steps include data cleaning, data standardization, and feature extraction to extract useful information, such as power demand, load curves, electricity price curves, etc. at different time periods. These data affect the operation and cost calculation of the energy storage system. They are input into the energy storage system configuration model, and the energy storage system configuration model is solved using the mixed-integer linear programming algorithm to obtain the configuration information of the target energy storage system, and the first configuration plan is generated based on the configuration information.

[0065] Specifically, the mixed-integer linear programming (MILP) algorithm is used to solve the model. The objective function, constraints, and decision variables of the energy storage system configuration model are input into the MILP solver. According to the solution requirements, the parameters of the solver are set, such as the solution time limit, iteration number limit, accuracy requirements, etc.; the MILP solver is started to solve the energy storage system configuration model, and according to the optimal solution, the configuration information of the energy storage system is extracted, such as energy storage capacity, power level, charge-discharge strategy, etc.; the first configuration plan is generated based on the configuration information.

[0066] In step S3, the homotopy analysis method is used to perform stability analysis on the second original power data to obtain unstable power consumption data within a preset range interval, and the energy storage system configuration model is used to process the unstable power consumption data to obtain the second configuration plan of the energy storage system on the power consumption side.

[0067] It should be noted that the second original power data is first cleaned, transformed, and feature extracted to ensure the accuracy and consistency of the data; multiple homotopy parameters are determined based on the preprocessed second original power data, and these parameters will be used to control the continuous transformation from a simple problem to the original complex problem; according to the characteristics of the second original power data; then a homotopy mapping is constructed, and using the homotopy mapping and the selected homotopy parameters, a homotopy equation is formed, and the homotopy equation is linearized to calculate its Jacobian matrix.

[0068] Specifically, the Jacobian matrix can describe the partial derivatives of the system state variables with respect to the input variables; calculating the eigenvalues of the Jacobian matrix, the real parts of the eigenvalues determine the stability of the system: if the real parts of all eigenvalues are negative, the system is stable; if there are eigenvalues with positive real parts, the system is unstable.

[0069] According to the analysis results of the eigenvalues, determine the unstable data of the system. These data are manifested as sharp fluctuations, abnormal peaks or valleys of the power load, etc.

[0070] Based on the above-obtained first configuration plan and second configuration plan, use the greedy algorithm to integrate the first configuration plan and the second configuration plan to generate a target configuration strategy based on the target energy storage system.

[0071] Specifically, with the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, use the greedy algorithm to process the first configuration plan and the second configuration plan to generate candidate plans, evaluate the candidate plans according to the goal, calculate the performance scores of the candidate plans, and generate a target configuration strategy based on the target energy storage system according to the evaluation results.

[0072] At the same time, after obtaining the target configuration strategy, use the hold-out method to optimize the target configuration strategy. The hold-out method is one of the common methods for evaluating the performance of machine learning models and is also applicable to verifying and optimizing configuration strategies. Execute the optimized target configuration strategy.

[0073] Another embodiment of the present invention provides a load characteristic extraction and energy storage configuration specification strategy system in an industrial and commercial scenario. Specifically, please refer to Figure 2 , Figure 2 which shows a schematic structural diagram of the load characteristic extraction and energy storage configuration specification strategy system in an industrial and commercial scenario in one of the embodiments of the present invention. The system is applied to the configuration of the energy storage system. The structure of the system includes:

[0074] An acquisition module 11, configured to acquire first original power data of a target energy storage system and acquire second original power data of an energy storage system on the power consumption side that performs power interaction with the target energy storage system;

[0075] A processing module 12, configured to construct an energy storage system configuration model with the goal of minimizing the total operating cost of the target energy storage system and the energy storage system on the power consumption side, and use the energy storage system configuration model to process the first original power data to obtain a first configuration plan;

[0076] An analysis module 13, configured to perform stability analysis on the second original power data by using the homotopy analysis method, obtain unstable power consumption data within a preset range interval, and process the unstable power consumption data by using the energy storage system configuration model to obtain a second configuration plan for the power consumption side energy storage system;

[0077] An integration module 14, configured to integrate the first configuration plan and the second configuration plan by using a greedy algorithm to generate a target configuration strategy for the target energy storage system;

[0078] An execution module 15, configured to execute the target configuration strategy.

[0079] Compared with the prior art, the beneficial effects of the embodiments of the present invention are at least one of the following:

[0080] The method and system for load characteristic extraction and energy storage configuration specification strategy in the industrial and commercial scenario provided by the present invention aim to minimize the total operating cost of the target energy storage system and the power consumption side energy storage system, establish a practical energy storage system configuration model, and comprehensively consider various data of the target energy storage system and the power consumption side energy storage system to obtain a first configuration plan and a second configuration plan. The greedy algorithm is used to integrate the first configuration plan and the second configuration plan to generate a target configuration strategy for the target energy storage system. This strategy can fully consider the actual situations of the target energy storage system and the power consumption side energy storage system, as well as the unstable factors in the power system, which makes the strategy highly flexible and reliable during the execution process, can be dynamically adjusted according to the actual situation, and ensures that the energy storage system always maintains the optimal state.

[0081] The above embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims

1. A method for extracting load characteristics and configuring energy storage specifications in industrial and commercial scenarios, characterized in that: Applied to the configuration of energy storage system, including: Acquire first original power data of a target energy storage system, and acquire second original power data of a power consumption-side energy storage system that performs power interaction with the target energy storage system; Taking the total operating cost of the target energy storage system and the power consumption side energy storage system as the minimum, constructing an energy storage system configuration model, and using the energy storage system configuration model to process the first original power data to obtain a first configuration scheme; Performing stability analysis on the second original power data by using a homology analysis method to obtain unstable power consumption data within a preset range, and processing the unstable power consumption data by using the energy storage system configuration model to obtain a second configuration scheme of the power consumption side energy storage system; Using a greedy algorithm to integrate the first configuration scheme and the second configuration scheme to generate a target configuration strategy based on the target energy storage system; The target configuration policy is executed.

2. The method for extracting load characteristics and configuring energy storage specifications in industrial and commercial scenarios according to claim 1, characterized in that: The using the energy storage system configuration model to process the first original power data to obtain a first configuration scheme includes: Performing data preprocessing on the first original power data; Inputting the preprocessed first raw power data into an energy storage system configuration model, solving the energy storage system configuration model using a mixed integer linear programming algorithm, and obtaining configuration information of the target energy storage system; The first configuration scheme is generated based on the configuration information.

3. The method for extracting load characteristics and configuring energy storage specifications in industrial and commercial scenarios according to claim 1, characterized in that: The method of performing stability analysis on the second original power data by using the homology analysis method to obtain unstable power consumption data within a preset range includes: performing data preprocessing on the second original power data; constructing a homotopy equation based on the preprocessed second original power data, and performing stability analysis on the homotopy equation using a Jacobian matrix; Feature extraction is performed on the stability analysis results to obtain unstable power consumption data within a preset range.

4. The method for extracting load characteristics and configuring energy storage specifications in industrial and commercial scenarios according to claim 1, characterized in that: The first configuration scheme and the second configuration scheme are integrated by using a greedy algorithm to generate a target configuration strategy based on the target energy storage system. The integration process includes: Taking the total operating cost of the target energy storage system and the power-side energy storage system as the minimum as the goal, the first configuration scheme and the second configuration scheme are processed by a greedy algorithm to generate candidate schemes, the candidate schemes are evaluated according to the goal, and the performance scores of the candidate schemes are calculated; According to the evaluation result, a target configuration strategy based on the target energy storage system is generated.

5. The method for extracting load characteristics and configuring energy storage specifications in industrial and commercial scenarios according to claim 1, characterized in that: Before executing the target configuration strategy, the load feature extraction and energy storage configuration specification strategy method further includes: The target configuration strategy is optimized using the holdout method.

6. A load feature extraction and energy storage configuration specification strategy system in industrial and commercial scenarios, characterized in that: Applied to the configuration of energy storage system, including: An acquisition module, used to acquire first original power data of a target energy storage system, and acquire second original power data of a power consumption side energy storage system that performs power interaction with the target energy storage system; a processing module, configured to construct an energy storage system configuration model with the goal of minimizing the total operating cost of the target energy storage system and the power-side energy storage system, and to process the first original power data using the energy storage system configuration model to obtain a first configuration scheme; An analysis module, configured to perform stability analysis on the second original power data by using a homotopy analysis method to obtain unstable power consumption data within a preset range, and process the unstable power consumption data by using the energy storage system configuration model to obtain a second configuration scheme of the power consumption side energy storage system; An integration module, configured to integrate the first configuration scheme and the second configuration scheme using a greedy algorithm to generate a target configuration strategy based on the target energy storage system; An execution module is used to execute the target configuration strategy.

7. The load feature extraction and energy storage configuration specification strategy system in industrial and commercial scenarios according to claim 6, characterized in that: The using the energy storage system configuration model to process the first original power data to obtain a first configuration scheme includes: Performing data preprocessing on the first original power data; Inputting the preprocessed first raw power data into an energy storage system configuration model, solving the energy storage system configuration model using a mixed integer linear programming algorithm, and obtaining configuration information of the target energy storage system; The first configuration scheme is generated based on the configuration information.

8. The load feature extraction and energy storage configuration specification strategy system in industrial and commercial scenarios according to claim 6, characterized in that: The method of performing stability analysis on the second original power data by using the homology analysis method to obtain unstable power consumption data within a preset range includes: performing data preprocessing on the second original power data; constructing a homotopy equation based on the preprocessed second original power data, and performing stability analysis on the homotopy equation using a Jacobian matrix; Feature extraction is performed on the stability analysis results to obtain unstable power consumption data within a preset range.

9. The load feature extraction and energy storage configuration specification strategy system in industrial and commercial scenarios according to claim 6, characterized in that: The first configuration scheme and the second configuration scheme are integrated by using a greedy algorithm to generate a target configuration strategy based on the target energy storage system. The integration process includes: Taking the total operating cost of the target energy storage system and the power-side energy storage system as the minimum as the goal, the first configuration scheme and the second configuration scheme are processed by a greedy algorithm to generate candidate schemes, the candidate schemes are evaluated according to the goal, and the performance scores of the candidate schemes are calculated; According to the evaluation result, a target configuration strategy based on the target energy storage system is generated.

10. The load feature extraction and energy storage configuration specification strategy system in industrial and commercial scenarios according to claim 6, characterized in that: Before executing the target configuration strategy, the load feature extraction and energy storage configuration specification system further includes: The target configuration strategy is optimized using the holdout method.

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