Energy storage system power distribution method, system, equipment and medium

Abstract

The invention belongs to the technical field of energy storage systems, and relates to an energy storage system power distribution method, system and device and a medium. The method comprises the following steps: acquiring an energy input quantity, historical energy supply data, real-time energy supply data and running state data of a system; by acquiring the energy input quantity, the historical energy supply data, the real-time energy supply data and the operation state data of the system, the load demand is predicted by using the historical energy supply data and the real-time energy supply data, the reasonability of power distribution is improved, and the stability when the multi-source energy is input into the energy storage system is improved. Determining the priority of each energy source and the priority of the energy storage equipment according to the energy source input quantity, the load demand and the stability and the reliability of the energy sources; the power is distributed for the energy storage equipment according to the energy priority and the priority of the energy storage equipment, it is guaranteed that the energy is stably input into the energy storage system, and meanwhile through reasonable power distribution, the efficiency when the multi-source energy is input into the energy storage system is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage systems, and relates to a power distribution method, system, equipment and medium for an energy storage system. Background Art

[0002] Since the energy people need is highly temporal and spatial, in order to make rational use of energy and improve energy utilization, a device is needed to collect and store excess energy that is temporarily unused for a period of time, and then extract and use it during peak usage, or transport it to places where energy is scarce for use. This method is energy storage.

[0003] Energy storage system power distribution technology is a technology widely used in energy management and power systems. Common multi-source energy inputs include solar energy, wind energy, and power grids. The diversity and instability of these energy sources lead to uncertainty and volatility in energy supply, which leads to problems such as insufficient stability and low efficiency when these energy sources are incorporated into energy storage systems.

[0004] In summary, when the existing multi-source energy is input into the energy storage system, there are problems such as insufficient stability and low efficiency. Summary of the invention

[0005] The purpose of the present invention is to provide a power distribution method, system, device and medium for an energy storage system to solve the technical problems of insufficient stability and low efficiency when multiple sources of energy are input into the energy storage system. The present invention can achieve reasonable power distribution and improve the stability and efficiency when multiple sources of energy are input into the energy storage system.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for allocating power of an energy storage system, comprising the following steps: Obtain energy input, historical energy supply data, real-time energy supply data and system operation status data; Use historical and real-time energy supply data to predict load demand; Determine the priority of each energy source and the priority of energy storage equipment based on energy input, load demand, and energy stability and reliability; Power is allocated to the energy storage devices according to the energy priority and the priority of the energy storage devices.

[0007] Preferably, the method for predicting load demand using historical energy supply data and real-time energy supply data is specifically as follows: Use trend analysis method to analyze historical energy supply data, determine the load change trend, and obtain preliminary load forecast results; The historical energy supply data is compared with the preliminary prediction results to obtain the difference between the two. If the difference is less than or equal to the threshold range, the preliminary prediction value is used as the predicted load demand. If the difference exceeds the threshold range, the preliminary prediction results and the historical energy supply data are fused to obtain the load demand.

[0008] Preferably, the priority of each energy source and the priority of the energy storage device are determined according to the energy input, load demand, and stability and reliability of the energy, wherein the method for determining the priority of each energy source is specifically as follows: Evaluate multiple energy sources through the energy storage screening component to determine the stability, reliability and expected energy output of each energy source; Prioritize each energy source based on its stability, reliability, and projected energy output.

[0009] Preferably, the priority of each energy source and the priority of the energy storage device are determined according to the energy input, load demand, and the stability and reliability of the energy, wherein the method for determining the priority of the energy storage device is as follows: During peak load periods, the priority of energy storage devices is determined based on their current SOC value, response speed, and output power; Outside of peak load periods, the priority of the energy storage device is determined based on the current SOC value and energy storage efficiency of the energy storage device.

[0010] Preferably, the method for determining the priority of each energy source and the priority of the energy storage device according to the energy input amount, load demand, and the stability and reliability of the energy is specifically as follows: Obtain load demand and energy input; If the load demand is greater than or equal to the energy input, no energy is stored and the energy input is used entirely for the load demand; If the load demand is less than the energy input, the energy input is used to meet the load demand, and the remaining energy input is stored. During the storage process, high-priority energy is preferentially stored in high-priority energy storage devices.

[0011] Preferably, power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device, and after the power is allocated, the allocation scheme is performance evaluated and logged, and the power allocation strategy is continuously optimized using an energy storage preferred allocation component optimization algorithm.

[0012] Preferably, power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device. During the power allocation process, real-time data monitoring is performed according to the system operation status data and load demand. If the system operation status data and load demand are abnormal, the system failure is determined and the system is repaired, as follows: Real-time data monitoring based on system operation status data and load requirements; If the system's operating status data and load demand are normal, power is allocated to the energy storage device based on the energy priority and the priority of the energy storage device; If the system's operating status data is abnormal, the system is determined to be faulty and the system is repaired. If the system is repaired successfully, real-time data monitoring continues. If the system repair fails, the system is shut down through the control switch and the system is initialized.

[0013] In a second aspect, the present invention provides a power distribution system for an energy storage system, including a data acquisition module, a load prediction module, a priority determination module and a power distribution module; Data acquisition module: used to obtain historical energy supply data, real-time energy supply data and system operation status data; Load forecasting module: used to forecast load demand using historical energy supply data and real-time energy supply data; Priority determination module: used to determine the priority of each energy source and the priority of energy storage equipment according to energy input, load demand, and energy stability and reliability; Power allocation module: used to allocate power to energy storage devices according to energy priorities and priorities of energy storage devices.

[0014] In a third aspect, the present invention provides an electronic device, comprising: a processor; a memory, the electronic device being used to store computer program instructions; and a memory being used to implement the steps of a power distribution method for an energy storage system when executing the computer program.

[0015] In a fourth aspect, the present invention provides a storage medium storing computer program instructions. When the computer program instructions are loaded and executed by a processor, the processor executes a power distribution method for an energy storage system.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains energy input, historical energy supply data, real-time energy supply data and system operation status data, and uses historical energy supply data and real-time energy supply data to predict load demand, thereby improving the rationality of power distribution and the stability of multi-source energy input into the energy storage system. The priority of each energy source and the priority of the energy storage device are determined according to the energy input, load demand, and the stability and reliability of the energy; power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device to ensure the stable input of energy into the energy storage system. At the same time, through reasonable power distribution, the efficiency of multi-source energy input into the energy storage system is improved.

[0017] 2. The system of the present invention includes a data acquisition module, a load prediction module, a priority determination module and a power distribution module; the data acquisition module is used to obtain historical energy supply data, real-time energy supply data and system operation status data; the load prediction module is used to use historical energy supply data and real-time energy supply data to predict load demand; the priority determination module is used to determine the priority of each energy source and the priority of the energy storage device according to the energy input, load demand, and energy stability and reliability; the power distribution module is used to allocate power to the energy storage device according to the energy priority and the priority of the energy storage device. The various modules of the system of the present invention cooperate with each other to achieve reasonable power distribution and improve the stability and efficiency of the energy storage system when multiple sources of energy are input.

[0018] 3. The device and medium of the present invention can also realize the reasonable distribution of power and improve the stability and efficiency when multiple sources of energy are input into the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A flowchart of an embodiment of the method of the present invention; Figure 2 A diagram of an embodiment of the method of the present invention; Figure 3 is a flow chart of the method of the present invention; Figure 4 It is a system connection diagram of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0021] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0022] The present invention is further described in detail below in conjunction with the accompanying drawings: See also Figure 3 The present invention discloses a power distribution method for an energy storage system, comprising the following steps: S1. Obtain energy input, historical energy supply data, real-time energy supply data and system operation status data; S2. Use historical energy supply data and real-time energy supply data to predict load demand, as follows: Use trend analysis method to analyze historical energy supply data, determine the load change trend, and obtain preliminary load forecast results; The historical energy supply data is compared with the preliminary prediction results to obtain the difference between the two. If the difference is less than or equal to the threshold range, the preliminary prediction value is used as the predicted load demand. If the difference exceeds the threshold range, the preliminary prediction results and the historical energy supply data are fused to obtain the load demand.

[0023] S3. Determine the priority of each energy source and the priority of energy storage equipment based on energy input, load demand, and energy stability and reliability, as follows: The method for determining the priority of each energy source is as follows: Evaluate multiple energy sources through the energy storage screening component to determine the stability, reliability and expected energy output of each energy source; Prioritize each energy source based on its stability, reliability, and projected energy output.

[0024] Among them, the method for determining the priority of energy storage equipment is as follows: During peak load periods, the priority of energy storage devices is determined based on their current SOC value, response speed, and output power; Outside of peak load periods, the priority of the energy storage device is determined based on the current SOC value and energy storage efficiency of the energy storage device.

[0025] Preferably, the method for determining the priority of each energy source and the priority of the energy storage device according to the energy input, load demand, and the stability and reliability of the energy is specifically as follows: Obtain load demand and energy input; If the load demand is greater than or equal to the energy input, no energy is stored and the energy input is used entirely for the load demand; If the load demand is less than the energy input, the energy input is used to meet the load demand, and the remaining energy input is stored. During the storage process, high-priority energy is preferentially stored in high-priority energy storage devices.

[0026] S4. Allocate power to the energy storage device based on the energy priority and the priority of the energy storage device. After the power is allocated, perform performance evaluation and log records on the allocation plan. Use the energy storage preferred allocation component optimization algorithm to continuously optimize the power allocation strategy.

[0027] Preferably, power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device. During the power allocation process, real-time data monitoring is performed according to the system's operating status data and load demand. If the system's operating status data and load demand are abnormal, the system failure is determined and the system is repaired, which is conducive to ensuring the stability of the energy storage system when multiple sources of energy are input, as follows: Real-time data monitoring based on system operation status data and load requirements; If the system's operating status data and load demand are normal, power is allocated to the energy storage device based on the energy priority and the priority of the energy storage device; If the system's operating status data is abnormal, the system is determined to be faulty and the system is repaired. If the system is repaired successfully, real-time data monitoring continues. If the system repair fails, the system is shut down through the control switch and the system is initialized.

[0028] Preferably, after the power is allocated, the power allocation strategy is continuously optimized using an energy storage preferred allocation component optimization algorithm.

[0029] See also Figure 3 In another feasible embodiment of the present invention, the following is adaptively modified according to the situation. Energy input, historical energy supply data, real-time energy supply data and system operating status data are obtained to realize power distribution and real-time monitoring. Using historical energy supply data and real-time energy supply data to predict load demand is conducive to improving the rationality of power distribution and improving the stability of multi-source energy input into the energy storage system. Determine the priority of each energy source and the priority of the energy storage device according to the energy input, load demand, and the stability and reliability of the energy; allocate power to the energy storage device according to the energy priority and the priority of the energy storage device to ensure the stable input of energy into the energy storage system, and at the same time, through reasonable power distribution, improve the efficiency of multi-source energy input into the energy storage system. The present invention can realize the reasonable distribution of power and improve the stability and efficiency of multi-source energy input into the energy storage system.

[0030] Embodiment 1: See also Figure 1 This embodiment discloses a method for allocating power of an energy storage system, further comprising the following steps: Real-time adjustment and optimization, including real-time system monitoring and continuous introduction of optimization; Intelligent dynamic power allocation, according to the energy priority order, the intelligent control unit starts to allocate power; Demand forecasting and priority setting, which includes energy storage screening and energy storage priority allocation; Multi-source energy input assessment, which includes energy assessment and determination of energy storage; System monitoring and fault handling, which includes detection module and repair module; System initialization and status monitoring, system initialization and status monitoring include start switch and initialization module; Performance evaluation and logging,Performance evaluation and logging include the evaluation system and the,logging system.

[0031] In the present invention, real-time system monitoring monitors the operating status of the system and changes in load demand in real time through a historical energy supply data monitoring component.

[0032] It should be noted that real-time system monitoring is a key step in the power allocation method of the energy storage system. It continuously collects data on the system operating status and load demand through historical energy supply data monitoring components to ensure that the system can respond and adjust power allocation in real time.

[0033] In the present invention, optimization is continuously introduced to continuously optimize the power allocation strategy based on the energy storage preferred allocation component optimization algorithm.

[0034] It should be noted that continuous optimization is the key to improving the performance of energy storage systems. By continuously introducing optimization algorithms through energy storage optimal allocation components, it can ensure that the system always operates in the best state and achieve efficient use of energy.

[0035] In the present invention, energy storage screening and the energy storage priority allocation are carried out by using historical energy supply data and real-time energy supply data through an intelligent allocation component to predict the load demand in the future period, and at the same time, the priority of each energy source and energy storage device is set according to the predicted load demand, energy stability and reliability.

[0036] It should be noted that energy storage screening is an important part of demand forecasting and priority setting. By collecting and analyzing historical and real-time energy supply data through intelligent allocation components, the system can predict changes in load demand in the future and provide a basis for the selection of energy storage equipment and power allocation. This prediction can ensure that the energy storage system can meet the expected load demand and avoid energy waste or shortage.

[0037] In the present invention, energy assessment and the determination of energy storage can be used to evaluate the currently available multi-source energy input through the energy storage screening component to determine the stability, reliability and expected energy output of each energy source.

[0038] It should be noted that when setting priorities, the system takes into account multiple factors such as predicted load demand, stability and reliability of energy sources through energy storage screening components. This priority setting can ensure that when energy supply is tight or unstable, the system can give priority to the use of stable and reliable energy sources and energy storage equipment to ensure the stable operation of the system.

[0039] In the present invention, the monitoring system detects the operating status and potential faults of the energy storage power station in real time through the monitoring module, and the repair module immediately starts the fault handling process once a fault or abnormality is found through the repair component.

[0040] It should be noted that the monitoring system detects the operating status and potential faults of the energy storage power station in real time through the monitoring module, providing guarantee for the stable operation of the system. Once an abnormality or fault is detected, the monitoring module will immediately pass the information to the repair module, which will process it through the repair component.

[0041] In the present invention, the starting switch controls the starting energy storage system by controlling the switch, and the initialization module is used to initialize all relevant devices and parameters.

[0042] It should be noted that the start switch is responsible for starting the entire system by controlling the switch, while the initialization module is responsible for initializing all relevant devices and parameters after the system is started to ensure that the system can operate according to the preset power allocation strategy.

[0043] In the present invention, the evaluation system evaluates the performance of the system after each allocation cycle, and the recording system is used to record a detailed log of the power allocation process, which is then displayed on the display component.

[0044] It should be noted that the evaluation system and recording system are responsible for recording the work of the entire system in each cycle, evaluating and comparing them, and displaying them on the display component, so that the operator can easily compare with previous periods, and at the same time allow the operator to intuitively view the current data.

[0045] Embodiment 2: See also Figure 2 The present invention discloses an energy storage system, which adopts the above energy storage system power allocation method, including: Energy storage components are used to store external energy; Display component, used to enable external observers to monitor the system in real time; Control switch, used to control the power connection of the overall system; Monitoring and repair components, including monitoring modules and repair components, are used to monitor and judge the energy entering the energy storage component; Input components, including energy storage screening components, energy storage optimization allocation components and energy input detection components, transmit energy storage inward through external input devices; Intelligent distribution component, based on the energy priority order, the intelligent control unit starts to distribute power; Real-time energy supply data monitoring component is used to monitor the data of intelligent distribution components in real time.

[0046] In summary, the beneficial effects of the present invention are as follows: The present invention can evaluate the currently available multi-source energy input and determine the stability, reliability and expected energy output of each energy source through energy evaluation and determination of energy storage, taking into account the stability and reliability of multiple energy sources, and providing better and more comprehensive information for power distribution. Through intelligent dynamic power distribution, the intelligent control unit starts to distribute power according to the energy priority order; through real-time system monitoring and continuous introduction of optimization, the system's operating status and changes in load demand can be monitored in real time, and the power distribution strategy can be continuously optimized, thereby improving the efficiency and reliability of the system. Through the detection module and the repair module, the monitoring system can detect the operating status and potential faults of the energy storage power station in real time. Once a fault or abnormal situation is found, the fault handling process can be immediately started to ensure the stability of the system.

[0047] Based on the above method, the present invention also discloses a power distribution system for an energy storage system, see Figure 4 , including a data acquisition module, a load prediction module, a priority determination module and a power allocation module; Data acquisition module: used to obtain historical energy supply data, real-time energy supply data and system operation status data; Load forecasting module: used to forecast load demand using historical energy supply data and real-time energy supply data; Priority determination module: used to determine the priority of each energy source and the priority of energy storage equipment according to energy input, load demand, and energy stability and reliability; Power allocation module: used to allocate power to energy storage devices according to energy priorities and priorities of energy storage devices.

[0048] The various modules of the system of the present invention cooperate with each other to achieve reasonable distribution of power and improve the stability and efficiency when multiple sources of energy are input into the energy storage system.

[0049] An electronic device comprises: a processor; a memory, the electronic device is used to store computer program instructions; and a memory is used to implement the steps of a power distribution method for an energy storage system when executing the computer program.

[0050] A storage medium stores computer program instructions. When the computer program instructions are loaded and run by a processor, the processor executes a power distribution method for an energy storage system.

[0051] 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. Furthermore, 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 code.

[0052] 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.

[0053] 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.

[0054] 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 in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0055] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A power distribution method for an energy storage system, characterized in that: The following steps are involved: Obtain energy input, historical energy supply data, real-time energy supply data and system operation status data; Use historical and real-time energy supply data to predict load demand; Determine the priority of each energy source and the priority of energy storage equipment based on energy input, load demand, and energy stability and reliability; Power is allocated to the energy storage devices according to the energy priority and the priority of the energy storage devices.

2. The energy storage system power distribution method according to claim 1, characterized in that: The method for predicting load demand using historical energy supply data and real-time energy supply data is specifically as follows: Use trend analysis method to analyze historical energy supply data, determine the load change trend, and obtain preliminary load forecast results; The historical energy supply data is compared with the preliminary prediction results to obtain the difference between the two. If the difference is less than or equal to the threshold range, the preliminary prediction value is used as the predicted load demand. If the difference exceeds the threshold range, the preliminary prediction results and the historical energy supply data are fused to obtain the load demand.

3. The energy storage system power distribution method according to claim 1, characterized in that: The priority of each energy source and the priority of the energy storage device are determined according to the energy input, load demand, and the stability and reliability of the energy. The method for determining the priority of each energy source is as follows: Evaluate multiple energy sources through the energy storage screening component to determine the stability, reliability and expected energy output of each energy source; Prioritize each energy source based on its stability, reliability, and projected energy output.

4. The energy storage system power distribution method according to claim 1, characterized in that: The priority of each energy source and the priority of the energy storage device are determined according to the energy input, load demand, and the stability and reliability of the energy. The method for determining the priority of the energy storage device is as follows: During peak load periods, the priority of energy storage devices is determined based on their current SOC value, response speed, and output power; Outside of peak load periods, the priority of the energy storage device is determined based on the current SOC value and energy storage efficiency of the energy storage device.

5. The energy storage system power distribution method according to claim 1, characterized in that: The method for determining the priority of each energy source and the priority of the energy storage device according to the energy input, load demand, and the stability and reliability of the energy is specifically as follows: Obtain load demand and energy input; If the load demand is greater than or equal to the energy input, no energy is stored and the energy input is used entirely for the load demand; If the load demand is less than the energy input, the energy input is used to meet the load demand, and the remaining energy input is stored. During the storage process, high-priority energy is preferentially stored in high-priority energy storage devices.

6. The energy storage system power distribution method according to claim 1, characterized in that: The power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device. After the power is allocated, the allocation plan is performance evaluated and logged, and the power allocation strategy is continuously optimized using the energy storage preferred allocation component optimization algorithm.

7. The energy storage system power distribution method according to claim 1, characterized in that: The power is allocated to the energy storage device according to the energy priority and the priority of the energy storage device. During the power allocation process, the data is monitored in real time according to the system operation status data and load demand. If the system operation status data and load demand are abnormal, the system failure is determined and the system is repaired, as follows: Real-time data monitoring based on system operation status data and load requirements; If the system's operating status data and load demand are normal, power is allocated to the energy storage device based on the energy priority and the priority of the energy storage device; If the system's operating status data is abnormal, the system is determined to be faulty and the system is repaired. If the system is repaired successfully, real-time data monitoring continues. If the system repair fails, the system is shut down through the control switch and the system is initialized.

8. A power distribution system for an energy storage system for implementing the method according to any one of claims 1 to 7, characterized in that: It includes a data acquisition module, a load prediction module, a priority determination module and a power allocation module; Data acquisition module: used to obtain historical energy supply data, real-time energy supply data and system operation status data; Load forecasting module: used to forecast load demand using historical energy supply data and real-time energy supply data; Priority determination module: used to determine the priority of each energy source and the priority of energy storage equipment according to energy input, load demand, and energy stability and reliability; Power allocation module: used to allocate power to energy storage devices according to energy priorities and priorities of energy storage devices.

9. An electronic device, comprising: Processor; memory, electronic device used to store computer program instructions; characterized in that it is used to implement the steps of the energy storage system power distribution method as described in any one of claims 1-6 when executing the computer program.

10. A storage medium storing computer program instructions, characterized in that: When the computer program instructions are loaded and executed by a processor, the processor executes the energy storage system power distribution method according to any one of claims 1 to 6.

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