Coordination control method and system for energy storage

The coordinated control method and system optimize new energy storage system operation by training a control model and generating real-time instructions, enhancing efficiency and reliability.

CN119231584APending Publication Date: 2024-12-31STATE GRID JIBEI ENERGY SAVING SERVICE +1
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411351798.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2024-12-31

AI Technical Summary

Technical Problem

The inability to effectively control new energy systems leads to power system failures and underutilization of their advantages.

Method used

A coordinated control method and system for energy storage that involves acquiring and normalizing data, training a control model, and generating real-time control instructions to optimize energy storage system operation.

Benefits of technology

The method and system enable optimal control of new energy systems, preventing failures and maximizing their utilization.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119231584A_ABST
    Figure CN119231584A_ABST
Patent Text Reader

Abstract

The invention discloses a coordination control method and system for energy storage, and belongs to the technical field of energy storage control. The method comprises the following steps: acquiring data of a new energy storage system related to new energy control, and determining an optimal control mode of the new energy storage system in different scenes based on the data related to the new energy control; training by using the data related to new energy control and the corresponding optimal control mode to obtain a control model; acquiring real-time normalized data of a target new energy storage system, and determining a current optimal control mode for the target new energy storage system based on the control model according to the real-time data; and generating a control strategy based on the optimal control mode, generating a control instruction based on the control strategy, and performing coordination control on the target new energy storage system based on the control instruction. The application of the invention can control the operation of the new energy to achieve the optimal effect.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of energy storage control technology, and more specifically, to a coordinated control method and system for energy storage. Background Art

[0002] At present, the inability to effectively control the new energy system will cause power system failures, and the new energy cannot be effectively utilized to give full play to its advantages. Therefore, how to control the new energy storage system so that its operation can achieve the desired effect and avoid failures caused by the control of new energy is a technical problem that needs to be solved. Summary of the invention

[0003] In view of the above problems, the present invention proposes a coordinated control method for energy storage, comprising:

[0004] Acquire data related to the new energy storage system and new energy control, and determine the optimal control method of the new energy storage system in different scenarios based on the data related to the new energy control;

[0005] Using the data related to the new energy control and the corresponding optimal control method, training a control model;

[0006] Acquire real-time normalized data of the target new energy storage system, and determine the currently optimal control mode for the target new energy storage system based on the control model and the real-time data;

[0007] Based on the optimal control method, a control strategy is generated, and based on the control strategy, a control instruction is generated, and based on the control instruction, the target new energy storage system is coordinated and controlled.

[0008] Optionally, the data related to new energy control includes:

[0009] The scenario data, operation data and control method data of the new energy storage system;

[0010] The operating data include: bus voltage data, active / reactive data, energy storage capacity data, and energy storage charge state data.

[0011] Optionally, after acquiring data related to the new energy storage system and new energy control, the method further includes:

[0012] The acquired data related to new energy control is classified and cleaned, the classified and cleaned data is normalized, and the scene data, operation data and control mode data are associated to make the scene data, operation data and control mode data correspond one to one.

[0013] Optionally, determining the optimal control mode and control instructions of the new energy storage system in different scenarios includes:

[0014] The control method and control instructions corresponding to the optimal energy storage effect of the new energy storage system in different scenarios are determined as the optimal control method.

[0015] Optionally, using the data related to the new energy control and the corresponding optimal control method, training a control model includes:

[0016] The data related to the new energy control and the corresponding optimal control method are used as input data and output data of the training network model respectively, and a data set is constructed based on the input data and the output data, and the data set is divided into a training set and a validation set according to a preset ratio;

[0017] The training set is input into the network model to be trained to obtain a control model, and the control model is verified using the verification set. If the verification result does not meet the preset requirements, the model parameters of the control model are corrected based on the verification result until the verification result meets the preset requirements.

[0018] Optionally, the currently optimal control method determined for the target new energy storage system includes at least two.

[0019] Optionally, the method further includes:

[0020] After the control instructions are generated, the control instructions are used to simulate coordinated control of the target new energy storage system, and the simulated data is monitored to determine whether a new energy storage system failure occurs. If no failure occurs, the control instructions are used to coordinate control of the target new energy storage system. If a failure occurs, the control strategy is adjusted to regenerate the control instructions.

[0021] Optionally, the method further includes:

[0022] Acquire the operating data of the new energy system after coordinated control of the target new energy energy storage system, determine the actual control effect based on the operating data, judge the effectiveness of the control instruction based on the actual control effect, and adjust the model parameters of the control model based on the effectiveness to optimize the control model.

[0023] Optionally, when the target new energy storage system is coordinated and controlled, the command value of the control command is corrected in real time based on the real-time state of the new energy storage system, and the target new energy storage system is coordinated and controlled in real time with the corrected command value;

[0024] The real-time status includes: energy storage charge status, energy storage capacity status and bus voltage status.

[0025] Optionally, generating a control instruction based on the control strategy includes:

[0026] Based on the control link coefficients specified by the control strategy, a control link is constructed, and a control instruction is generated based on the control link.

[0027] On the other hand, the present invention also proposes a coordinated control system for energy storage, comprising:

[0028] A data acquisition unit, used to obtain data related to the new energy storage system and the new energy control, and determine the optimal control mode of the new energy storage system in different scenarios based on the data related to the new energy control;

[0029] A training unit, used to train a control model using the data related to the new energy control and the corresponding optimal control method;

[0030] An output unit, used to obtain real-time normalized data of a target new energy storage system, and determine a currently optimal control mode for the target new energy storage system based on the control model and the real-time data;

[0031] The control unit is used to generate a control strategy based on an optimal control method, and to generate a control instruction based on the control strategy, and to coordinately control the target new energy storage system based on the control instruction.

[0032] Optionally, the data related to new energy control includes:

[0033] The scenario data, operation data and control method data of the new energy storage system;

[0034] The operating data include: bus voltage data, active / reactive data, energy storage capacity data, and energy storage charge state data.

[0035] Optionally, after acquiring data related to the new energy storage system and the new energy control, the data acquisition unit is further used to:

[0036] The acquired data related to new energy control is classified and cleaned, the classified and cleaned data is normalized, and the scene data, operation data and control mode data are associated to make the scene data, operation data and control mode data correspond one to one.

[0037] Optionally, determining the optimal control mode and control instructions of the new energy storage system in different scenarios includes:

[0038] The control method and control instructions corresponding to the optimal energy storage effect of the new energy storage system in different scenarios are determined as the optimal control method.

[0039] Optionally, using the data related to the new energy control and the corresponding optimal control method, training a control model includes:

[0040] The data related to the new energy control and the corresponding optimal control method are used as input data and output data of the training network model respectively, and a data set is constructed based on the input data and the output data, and the data set is divided into a training set and a validation set according to a preset ratio;

[0041] The training set is input into the network model to be trained to obtain a control model, and the control model is verified using the verification set. If the verification result does not meet the preset requirements, the model parameters of the control model are corrected based on the verification result until the verification result meets the preset requirements.

[0042] Optionally, the currently optimal control method determined for the target new energy storage system includes at least two.

[0043] Optionally, the control unit is further configured to:

[0044] After the control instructions are generated, the control instructions are used to simulate coordinated control of the target new energy storage system, and the simulated data is monitored to determine whether a new energy storage system failure occurs. If no failure occurs, the control instructions are used to coordinate control of the target new energy storage system. If a failure occurs, the control strategy is adjusted to regenerate the control instructions.

[0045] Optionally, the control unit is further configured to:

[0046] Acquire the operating data of the new energy system after coordinated control of the target new energy energy storage system, determine the actual control effect based on the operating data, judge the effectiveness of the control instruction based on the actual control effect, and adjust the model parameters of the control model based on the effectiveness to optimize the control model.

[0047] Optionally, when the target new energy storage system is coordinated and controlled, the command value of the control command is corrected in real time based on the real-time state of the new energy storage system, and the target new energy storage system is coordinated and controlled in real time with the corrected command value;

[0048] The real-time status includes: energy storage charge status, energy storage capacity status and bus voltage status.

[0049] Optionally, generating a control instruction based on the control strategy includes:

[0050] Based on the control link coefficients specified by the control strategy, a control link is constructed, and a control instruction is generated based on the control link.

[0051] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0052] a processor for executing one or more programs;

[0053] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0054] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention provides a coordinated control method for energy storage, including: obtaining data related to a new energy storage system and new energy control, and determining the optimal control method of the new energy storage system in different scenarios based on the data related to the new energy control; using the data related to the new energy control and the corresponding optimal control method to train a control model; obtaining real-time normalized data of a target new energy storage system, and determining the current optimal control method for the target new energy storage system based on the control model and the real-time data; generating a control strategy based on the optimal control method, and generating a control instruction based on the control strategy, and coordinating and controlling the target new energy storage system based on the control instruction. The application of the present invention can control the operation of new energy to achieve the optimal effect, and can effectively avoid system failures caused by new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of the method of the present invention;

[0058] Figure 2 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0059] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0060] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0061] Embodiment 1:

[0062] The present invention proposes a coordinated control method for energy storage, such as Figure 1 As shown, including:

[0063] Step 1: Acquire data related to the new energy storage system and new energy control, and determine the optimal control method of the new energy storage system in different scenarios based on the data related to the new energy control;

[0064] Step 2: using the data related to the new energy control and the corresponding optimal control method, training a control model;

[0065] Step 3: Acquire real-time normalized data of the target new energy storage system, and determine the currently optimal control mode for the target new energy storage system based on the control model and the real-time data;

[0066] Step 4: Based on the optimal control method, a control strategy is generated, and based on the control strategy, a control instruction is generated, and based on the control instruction, the target new energy storage system is coordinated and controlled.

[0067] The data related to new energy control include:

[0068] The scenario data, operation data and control method data of the new energy storage system;

[0069] The operating data include: bus voltage data, active / reactive data, energy storage capacity data, and energy storage charge state data.

[0070] After obtaining data related to the new energy storage system and the new energy control, the method further includes:

[0071] The acquired data related to new energy control is classified and cleaned, the classified and cleaned data is normalized, and the scene data, operation data and control mode data are associated to make the scene data, operation data and control mode data correspond one to one.

[0072] Among them, determining the optimal control mode and control instructions of the new energy storage system in different scenarios includes:

[0073] The control method and control instructions corresponding to the optimal energy storage effect of the new energy storage system in different scenarios are determined as the optimal control method.

[0074] The control model is trained using the data related to the new energy control and the corresponding optimal control method, including:

[0075] The data related to the new energy control and the corresponding optimal control method are used as input data and output data of the training network model respectively, and a data set is constructed based on the input data and the output data, and the data set is divided into a training set and a validation set according to a preset ratio;

[0076] The training set is input into the network model to be trained to obtain a control model, and the control model is verified using the verification set. If the verification result does not meet the preset requirements, the model parameters of the control model are corrected based on the verification result until the verification result meets the preset requirements.

[0077] Among them, the currently optimal control method determined for the target new energy storage system includes at least two.

[0078] The method further includes:

[0079] After the control instructions are generated, the control instructions are used to simulate coordinated control of the target new energy storage system, and the simulated data is monitored to determine whether a new energy storage system failure occurs. If no failure occurs, the control instructions are used to coordinate control of the target new energy storage system. If a failure occurs, the control strategy is adjusted to regenerate the control instructions.

[0080] The method further includes:

[0081] Acquire the operating data of the new energy system after coordinated control of the target new energy energy storage system, determine the actual control effect based on the operating data, judge the effectiveness of the control instruction based on the actual control effect, and adjust the model parameters of the control model based on the effectiveness to optimize the control model.

[0082] When the target new energy storage system is coordinated and controlled, the command value of the control command is corrected in real time based on the real-time state of the new energy storage system, and the target new energy storage system is coordinated and controlled in real time with the corrected command value;

[0083] The real-time status includes: energy storage charge status, energy storage capacity status and bus voltage status.

[0084] Wherein, based on the control strategy, generating a control instruction includes:

[0085] Based on the control link coefficients specified by the control strategy, a control link is constructed, and a control instruction is generated based on the control link.

[0086] Embodiment 2:

[0087] The present invention also proposes a coordinated control system 200 for energy storage, such as Figure 2 As shown, including:

[0088] The data acquisition unit 201 is used to obtain data related to the new energy storage system and the new energy control, and determine the optimal control mode of the new energy storage system in different scenarios based on the data related to the new energy control;

[0089] A training unit 202, used to train a control model using the data related to the new energy control and the corresponding optimal control method;

[0090] The output unit 203 is used to obtain the real-time normalized data of the target new energy storage system, and determine the currently optimal control mode for the target new energy storage system based on the control model and the real-time data;

[0091] The control unit 204 is used to generate a control strategy based on the optimal control method, generate a control instruction based on the control strategy, and coordinately control the target new energy storage system based on the control instruction.

[0092] The data related to new energy control include:

[0093] The scenario data, operation data and control method data of the new energy storage system;

[0094] The operating data include: bus voltage data, active / reactive data, energy storage capacity data, and energy storage charge state data.

[0095] After acquiring data related to the new energy storage system and the new energy control, the data acquisition unit is also used to:

[0096] The acquired data related to new energy control is classified and cleaned, the classified and cleaned data is normalized, and the scene data, operation data and control mode data are associated to make the scene data, operation data and control mode data correspond one to one.

[0097] Among them, determining the optimal control mode and control instructions of the new energy storage system in different scenarios includes:

[0098] The control method and control instructions corresponding to the optimal energy storage effect of the new energy storage system in different scenarios are determined as the optimal control method.

[0099] The control model is trained using the data related to the new energy control and the corresponding optimal control method, including:

[0100] The data related to the new energy control and the corresponding optimal control method are used as input data and output data of the training network model respectively, and a data set is constructed based on the input data and the output data, and the data set is divided into a training set and a validation set according to a preset ratio;

[0101] The training set is input into the network model to be trained to obtain a control model, and the control model is verified using the verification set. If the verification result does not meet the preset requirements, the model parameters of the control model are corrected based on the verification result until the verification result meets the preset requirements.

[0102] Among them, the currently optimal control method determined for the target new energy storage system includes at least two.

[0103] The control unit 204 is further configured to:

[0104] After the control instructions are generated, the control instructions are used to simulate coordinated control of the target new energy storage system, and the simulated data is monitored to determine whether a new energy storage system failure occurs. If no failure occurs, the control instructions are used to coordinate control of the target new energy storage system. If a failure occurs, the control strategy is adjusted to regenerate the control instructions.

[0105] The control unit 204 is further configured to:

[0106] Acquire the operating data of the new energy system after coordinated control of the target new energy energy storage system, determine the actual control effect based on the operating data, judge the effectiveness of the control instruction based on the actual control effect, and adjust the model parameters of the control model based on the effectiveness to optimize the control model.

[0107] When the target new energy storage system is coordinated and controlled, the command value of the control command is corrected in real time based on the real-time state of the new energy storage system, and the target new energy storage system is coordinated and controlled in real time with the corrected command value;

[0108] The real-time status includes: energy storage charge status, energy storage capacity status and bus voltage status.

[0109] Wherein, based on the control strategy, generating a control instruction includes:

[0110] Based on the control link coefficients specified by the control strategy, a control link is constructed, and a control instruction is generated based on the control link.

[0111] The application of the present invention can control the operation of new energy to achieve the optimal effect, and can effectively avoid system failures caused by new energy.

[0112] Embodiment 3:

[0113] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0114] Embodiment 4:

[0115] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0116] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0117] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0118] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0120] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0121] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A coordinated control method for energy storage, characterized in that: include: Acquire data related to the new energy storage system and new energy control, and determine the optimal control method of the new energy storage system in different scenarios based on the data related to the new energy control; Using the data related to the new energy control and the corresponding optimal control method, training a control model; Acquire real-time normalized data of the target new energy storage system, and determine the currently optimal control mode for the target new energy storage system based on the control model and the real-time data; Based on the optimal control method, a control strategy is generated, and based on the control strategy, a control instruction is generated, and based on the control instruction, the target new energy storage system is coordinated and controlled.

2. The coordinated control method according to claim 1, characterized in that: The data related to new energy control include: The scenario data, operation data and control method data of the new energy storage system; The operating data include: bus voltage data, active / reactive data, energy storage capacity data, and energy storage charge state data.

3. The coordinated control method according to claim 1, characterized in that: After obtaining the data related to the new energy storage system and the new energy control, the method further includes: The acquired data related to new energy control is classified and cleaned, the classified and cleaned data is normalized, and the scene data, operation data and control mode data are associated to make the scene data, operation data and control mode data correspond one to one.

4. The coordinated control method according to claim 1, characterized in that: Determining the optimal control mode and control instructions of the new energy storage system in different scenarios includes: The control method and control instructions corresponding to the optimal energy storage effect of the new energy storage system in different scenarios are determined as the optimal control method.

5. The coordinated control method according to claim 1, characterized in that: The method of using the data related to the new energy control and the corresponding optimal control method to train a control model includes: The data related to the new energy control and the corresponding optimal control method are used as input data and output data of the training network model respectively, and a data set is constructed based on the input data and the output data, and the data set is divided into a training set and a validation set according to a preset ratio; The training set is input into the network model to be trained to obtain a control model, and the control model is verified using the verification set. If the verification result does not meet the preset requirements, the model parameters of the control model are corrected based on the verification result until the verification result meets the preset requirements.

6. The coordinated control method according to claim 1, characterized in that: The currently optimal control method for the target new energy storage system is determined to include at least two.

7. The coordinated control method according to claim 1 is characterized in that: The method further comprises: After the control instructions are generated, the control instructions are used to simulate coordinated control of the target new energy storage system, and the simulated data is monitored to determine whether a new energy storage system failure occurs. If no failure occurs, the control instructions are used to coordinate control of the target new energy storage system. If a failure occurs, the control strategy is adjusted to regenerate the control instructions.

8. A coordinated control system for energy storage, characterized in that: include: A data acquisition unit, used to obtain data related to the new energy storage system and the new energy control, and determine the optimal control mode of the new energy storage system in different scenarios based on the data related to the new energy control; A training unit, used to train a control model using the data related to the new energy control and the corresponding optimal control method; An output unit, used to obtain real-time normalized data of a target new energy storage system, and determine a currently optimal control mode for the target new energy storage system based on the control model and the real-time data; The control unit is used to generate a control strategy based on an optimal control method, and to generate a control instruction based on the control strategy, and to coordinately control the target new energy storage system based on the control instruction.

9. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 7 is implemented.