Energy storage power station soc calibration method and system, electronic device and readable medium

Abstract

The application discloses a kind of energy storage power station SOC calibration method, system, electronic equipment and readable medium;The energy storage power station SOC calibration method includes: receiving the SOC calibration signal sent by the energy storage battery compartment to be calibrated;Based on the current power output value of energy storage power station, future plan value and the full charge or full discharge expected time of the energy storage battery compartment to be calibrated, it is judged whether the current is suitable for the SOC calibration of energy storage battery compartment to be calibrated;If yes, based on the current power output value of energy storage power station, the power target value of each energy storage unit in energy storage power station is calculated to redistribute the power output value of each energy storage unit in energy storage power station.The energy storage power station SOC calibration method, system, electronic equipment and readable medium provided by the application can accurately calculate and adjust the power target value of energy storage unit through dynamic power management, to realize more accurate SOC calibration;While executing SOC calibration, the scheduling demand of power grid is considered, to ensure the responsiveness and reliability of energy storage power station to power grid service.

Description

Technical Field

[0001] This invention belongs to the field of electrical variable measurement technology, specifically relating to a SOC calibration method, system, electronic equipment, and readable medium for an energy storage power station. Background Technology

[0002] In modern power systems, large-scale electrochemical energy storage power plants play a crucial role, especially in peak-valley load regulation, frequency control, and providing emergency backup power. These power plants commonly use lithium-ion batteries as the energy storage medium due to their high energy density, high charge-discharge efficiency, and long lifespan. However, in actual operation, the ability to accurately control and manage these power plants is constrained by several key technical issues, particularly those related to the accurate estimation of the battery's state of charge (SOC).

[0003] The energy management system (EMS) of an energy storage power station is responsible for receiving dispatch instructions from the power grid and adjusting the power station's output accordingly, while also maintaining the power balance among the various energy storage units within the station. Accurate State of Charge (SOC) readings not only affect the power station's response efficiency to external power grid dispatch instructions but also directly relate to the safety and economics of the power station's operation. However, due to the physical and chemical properties of batteries and limitations of current technology, the SOC of lithium-ion batteries is difficult to measure and predict accurately.

[0004] Existing technologies attempt to improve the accuracy of State of Charge (SOC) estimation through various methods. The first method is to improve battery production and manufacturing processes, enhancing consistency between battery products to reduce SOC estimation errors caused by product differences. However, this method places high demands on battery manufacturers, requiring them to continuously optimize production processes. Given the large number of battery manufacturers and product variations, this improvement process is complex and costly.

[0005] The second approach involves improving SOC estimation algorithms, such as neural network algorithms, Kalman filtering, and multi-algorithm integration. These algorithms can theoretically improve the accuracy of estimation, but they rely on accurate battery models and a large amount of charge-discharge data. However, the acquisition of this data is affected by differences in battery production and varying usage conditions, making the practical application of these algorithms less than ideal.

[0006] Therefore, it is necessary to provide a new solution to the above-mentioned technical problems. Summary of the Invention

[0007] The purpose of this invention is to provide a SOC calibration method, system, electronic device and readable medium for energy storage power stations, which can achieve accurate SOC calibration of the energy storage battery compartment of energy storage power stations.

[0008] To achieve the above objectives, the technical solution provided by the present invention is as follows:

[0009] In a first aspect, the present invention provides a method for calibrating the State of Charge (SOC) of an energy storage power station, comprising:

[0010] Receive the SOC calibration signal sent by the energy storage battery compartment to be calibrated;

[0011] Based on the current power output of the energy storage power station, the future planned power output, and the estimated time for full charging or full discharging of the energy storage battery compartment to be calibrated, determine whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at present.

[0012] If so, calculate the target power value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station;

[0013] Based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is reallocated so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

[0014] In one or more embodiments, the energy storage battery compartment to be calibrated periodically sends a SOC calibration signal or sends a SOC calibration signal when the status is abnormal.

[0015] In one or more embodiments, based on the current power output value and future planned value of the energy storage power station, it is determined whether to perform SOC calibration on the energy storage battery compartment to be calibrated, including:

[0016] If, within the current dispatch instruction cycle of the power grid dispatch center, the current power output value and future planned value of the energy storage power station can meet the power and capacity requirements for the battery compartment to be calibrated to be fully charged or fully discharged, then it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at this time.

[0017] If, within the current dispatch command cycle of the power grid dispatch center, the current power output and future planned power output of the energy storage power station cannot meet the power and capacity requirements for the battery compartment to be calibrated to be fully charged or fully discharged, then it is not appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at this time.

[0018] In one or more embodiments, the method further includes:

[0019] If it is not currently suitable to perform SOC calibration on the energy storage battery compartment to be calibrated, then based on the future planned values ​​of the energy storage power station, it is predicted whether there will be a suitable calibration time point in the future within a predetermined timeframe to perform SOC calibration on the energy storage battery compartment to be calibrated.

[0020] If so, wait until the predicted calibration time point, and then reassess whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated.

[0021] If not, then generate the corresponding alarm information.

[0022] In one or more embodiments, the power output values ​​of each energy storage unit within the energy storage power station are redistributed, including:

[0023] Based on the current power output and target power of each energy storage unit in the energy storage power station, a power value allocation array for each energy storage unit is generated. The power value allocation array contains multiple power values ​​that successively approximate the target power value from the current power output of each energy storage unit.

[0024] Based on the power value allocation array of each energy storage unit, the current power output value of each energy storage unit is successively adjusted to the power target value.

[0025] In one or more embodiments, the method further includes:

[0026] After the SOC calibration of the energy storage battery compartment to be calibrated is completed, the power target value of each energy storage unit in the energy storage power station is recalculated, and the power output value of each energy storage unit in the energy storage power station is redistributed based on the power target value.

[0027] In one or more embodiments, the method further includes:

[0028] If, within a predetermined period, more than a predetermined number of energy storage battery compartments on the same feeder of an energy storage power station send SOC calibration signals, SOC calibration will be performed on all energy storage battery compartments on that feeder.

[0029] Secondly, the present invention provides a SOC calibration system for an energy storage power station, comprising: a receiving module, a judging module, a calculation module, and an allocation module; the receiving module is used to receive the SOC calibration signal sent by the energy storage battery compartment to be calibrated; the judging module is used to determine whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated based on the current power output value, future planned value, and the estimated time for full charging or full discharging of the energy storage battery compartment to be calibrated; the calculation module is used to calculate the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station; the allocation module is used to reallocate the power output value of each energy storage unit in the energy storage power station based on the power target value of each energy storage unit, so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

[0030] Thirdly, the present invention provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the aforementioned SOC calibration method for an energy storage power station.

[0031] Fourthly, the present invention provides a computer-readable medium carrying computer-executable instructions, which, when executed by a processor, are used to implement the aforementioned SOC calibration method for an energy storage power station.

[0032] Compared with existing technologies, the SOC calibration method, system, electronic equipment, and readable medium for energy storage power stations provided by this invention have the following advantages:

[0033] ①Through dynamic power management, the system can accurately calculate and adjust the power target value of the energy storage unit, achieving more accurate SOC calibration;

[0034] ② While performing SOC calibration, the dispatching needs of the power grid were taken into account to ensure the responsiveness and reliability of the energy storage power station to the power grid service;

[0035] ③ By using intelligent power allocation, the operating efficiency of energy storage power stations can be improved, and the power station's response to grid dispatch commands can be optimized;

[0036] ④ By predicting and determining the appropriate calibration time, the system avoids calibration during peak or unstable periods of power grid load, thus reducing potential operational risks;

[0037] ⑤ Timely SOC calibration helps maintain the health of the battery, extends its lifespan, and thus improves the economics of the energy storage power station.

[0038] ⑥ It can realize automated SOC calibration decision-making and execution processes, reduce manual intervention, and improve the safety and accuracy of operation. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is an architectural diagram of an energy storage power station according to one embodiment of the present invention;

[0041] Figure 2 This is a flowchart of a SOC calibration method for an energy storage power station according to an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of a SOC calibration system for an energy storage power station according to one embodiment of the present invention;

[0043] Figure 4This is a schematic diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0044] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0045] In modern power systems, energy storage power stations play a crucial role, particularly in providing frequency regulation, load balancing, and emergency response. These stations mostly utilize lithium-ion batteries due to their high energy density and excellent cycle performance. However, one of the core issues in battery management is the accurate estimation of the state of charge (SOC), which directly impacts the station's operational efficiency and the quality of grid service. Current technologies have several limitations in SOC estimation, primarily because battery performance is affected by various factors, such as inconsistencies in battery manufacturing, variability in usage conditions, and limitations in estimation models, making it impossible to precisely control the power output and energy storage levels of the power station.

[0046] While existing technologies have attempted to improve accuracy through improvements in battery manufacturing processes and the use of advanced algorithms for SOC estimation, these methods often rely on precise battery models and extensive operational data, making them complex to implement and difficult to adapt to rapidly changing grid demands. Furthermore, existing methods often fail to effectively integrate the real-time power demand of the power plant with the battery calibration process, which may lead to the power plant being unable to meet the grid's power requirements during periods of high demand, impacting the overall stability of the system.

[0047] Performing full-charge and discharge cycles on the energy storage battery pack to calibrate the State of Charge (SOC) estimation results of the Battery Management System (BMS) is an effective method for SOC estimation. However, this method requires full-charge and discharge SOC calibration of the energy storage battery pack. Without SOC calibration, the true SOC value of the energy storage battery pack cannot be known, and the EMS system cannot reliably control the charging and discharging of the energy storage power station, affecting the energy storage power station's response to dispatch commands and consequently impacting its revenue. Performing whole-site SOC calibration or in-site batch calibration generally requires disconnecting the relevant battery modules from the grid and performing full-charge and discharge operations individually, which still affects the normal operation of the energy storage power station.

[0048] In view of the aforementioned technical limitations, this invention provides a novel SOC calibration method for energy storage power stations, aiming to improve the accuracy of SOC estimation while ensuring that the power station can meet the power demand of the grid during the calibration process. The core idea of ​​this invention lies in using a dynamic decision-making system to intelligently adjust the power allocation of the energy storage units by comprehensively considering the current power output of the power station, future grid demand, and the charging and discharging state of the battery compartment. This allows for battery compartment SOC calibration without affecting the normal operation of the energy storage power station.

[0049] Please refer to Figure 1 The diagram shown is a schematic representation of an energy storage power station architecture in an exemplary implementation scenario of the present invention. Figure 1 In the illustrated implementation scenario, the energy storage power station includes an EMS system, multiple PCS (Power Conversion Systems) and multiple energy storage battery compartments. All PCS are connected to the EMS system via multiple feeders, with each feeder connecting at least one PCS. Each energy storage battery compartment is equipped with a BMS system, and each battery compartment's BMS is connected to one PCS. Each PCS is connected to at least one battery compartment's BMS. Each PCS and its connected battery compartments together form an energy storage unit.

[0050] The energy storage power station's EMS system receives and parses various power response commands issued by the power grid dispatch center, such as primary frequency regulation, dynamic voltage regulation, AGC (automatic generation control), AVC (automatic voltage control), and peak shaving and valley filling, and allocates the power target value to the available energy storage units within the station.

[0051] The Battery Management System (BMS) is responsible for routine monitoring of the energy storage battery compartment and sends SOC calibration signals to the Energy Storage Power Supply System (EMS). The EMS uses the SOC calibration signals from the battery compartment as triggers for calibration requests; these signals can be based on periodic calibration or abnormal battery condition.

[0052] The EMS system intelligently determines whether it is appropriate to perform SOC calibration on the energy storage battery compartment by analyzing the power station's real-time power output, future planned power output, and the estimated charge / discharge time of the battery compartment. If it is decided to calibrate the energy storage battery compartment that sent the SOC calibration signal, the EMS system will recalculate and allocate the power output of each energy storage unit based on the current power demand of the energy storage power station and grid dispatch instructions, ensuring that the battery compartment can complete the calibration without affecting grid service.

[0053] Please refer to Figure 2 The diagram shows a flowchart of a SOC calibration method for an energy storage power station according to an embodiment of the present invention. The SOC calibration method for the energy storage power station specifically includes the following steps:

[0054] S201: Receive the SOC calibration signal sent by the energy storage battery compartment to be calibrated.

[0055] It should be noted that the energy management system (EMS) of an energy storage power station can receive SOC (State of Charge) calibration signals from the battery storage compartment to be calibrated in real time via a receiving module. These signals are automatically generated by the battery storage compartment's BMS system based on a series of preset conditions. For example, when the battery's internal monitoring system detects a decline in battery performance or the achievement of a specific number of cycles, it will trigger the transmission of the SOC calibration signal.

[0056] In one exemplary embodiment, the energy storage battery compartment to be calibrated may periodically send a SOC calibration signal or send a SOC calibration signal when the status is abnormal.

[0057] Specifically, the BMS can be programmed to automatically detect the SOC of the energy storage battery compartment at set intervals (e.g., once a week) and automatically send an SOC calibration signal when the battery SOC deviates from a preset range. Time can be tracked using a timer or calendar function within the BMS; once the predetermined calibration cycle is reached, the BMS automatically executes the SOC detection procedure and determines whether to send an SOC calibration signal based on the results.

[0058] The Battery Management System (BMS) continuously monitors key parameters of the energy storage battery compartment (such as voltage, current, and temperature) and compares these parameters with preset health standards in real time. Once an abnormality is detected (such as poor cell voltage consistency or inconsistent charging and discharging times), the BMS immediately generates and sends a State of Charge (SOC) calibration signal to the Energy Management System (EMS), indicating that calibration or further inspection may be required.

[0059] After the BMS sends a SOC calibration signal based on an abnormal status, the BMS will reset the transmission period of the SOC calibration signal to avoid sending multiple SOC calibration signals within the same transmission period.

[0060] This mechanism for sending calibration signals allows for maintenance of the energy storage battery compartment to go beyond simply reacting to failures. Periodic inspections and anomaly monitoring enable preventative battery maintenance, avoiding serious battery damage and performance degradation.

[0061] In one exemplary embodiment, for all energy storage units on the same feeder in an energy storage power station, since their operating cycles are similar, the calibration cycles of the energy storage battery compartments on that feeder are also similar. Therefore, within a preset period, if more than a predetermined number of energy storage battery compartments on the same feeder in the energy storage power station send SOC calibration signals, SOC calibration is performed on all energy storage battery compartments on that feeder.

[0062] A centralized monitoring system can receive and record calibration signals from all energy storage battery compartments on the same feeder. A predetermined signal threshold can be set; for example, if 50% of the battery compartments on the same feeder send calibration signals, a collective calibration decision is triggered (calibrating all energy storage battery compartments on the same feeder as a large energy storage unit). Databases and decision support software can be used to count the number of received calibration signals and automatically determine whether the conditions for collective calibration have been met.

[0063] For example, an energy storage power station has a feeder X connecting five energy storage battery compartments. During a 10-hour monitoring period, if three battery compartments under feeder X emit SOC calibration signals, exceeding 50% of the total number of battery compartments, a collective calibration decision is triggered. The EMS can then select an appropriate calibration time to perform SOC calibration on all five battery compartments under feeder X.

[0064] S202: Based on the current power output value of the energy storage power station, the future planned value, and the estimated time for full charging or full discharging of the energy storage battery compartment to be calibrated, determine whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated.

[0065] It should be noted that the current power output value refers to the actual power output of the energy storage power station at the current moment; the future planned value refers to the power that the energy storage power station is expected to output in the future based on forecasts or grid dispatch needs; and the estimated time for full charge or full discharge refers to the estimated time required to complete the full charge or full discharge of the energy storage battery compartment to be calibrated.

[0066] The EMS system monitors the power output of a power plant in real time through integrated sensors and data acquisition systems, and estimates future planned power demand using forecasting tools or software. Risk assessment models can be used to analyze the feasibility and risks of calibration under current grid demand and power plant operating conditions. The model considers the potential impact of calibration operations on power plant operation and grid stability. Decision support algorithms can be employed to comprehensively analyze current power data, future planned values, and the time required for calibration, outputting recommendations on whether or not calibration should be performed.

[0067] In one exemplary embodiment, if the current power output and future planned power output of the energy storage power station can meet the power and capacity requirements for the battery compartment to be calibrated to be fully charged or fully discharged within the current dispatch instruction cycle of the power grid dispatch center, then it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated.

[0068] If, within the current dispatch command cycle of the power grid dispatch center, the current power output and future planned power output of the energy storage power station cannot meet the power and capacity requirements for the battery compartment to be calibrated to be fully charged or fully discharged, then it is not appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at this time.

[0069] For example, suppose an energy storage power station currently has a power output of 50MW, and the grid dispatch plan requires the station to maintain a stable output of 60MW within the next hour. Meanwhile, the energy storage battery compartment to be calibrated needs 30 minutes of full discharge to complete the calibration. If the power station has sufficient reserve capacity to compensate for this calibration operation within the next hour, the EMS system will decide to perform the calibration. If there is insufficient reserve capacity, the EMS system will postpone the calibration operation.

[0070] In one exemplary embodiment, if it is not currently suitable to perform SOC calibration on the energy storage battery compartment to be calibrated, then based on the future planned values ​​of the energy storage power station, it is predicted whether there will be a suitable calibration time point for performing SOC calibration on the energy storage battery compartment to be calibrated within a predetermined future time. If so, when the predicted calibration time point arrives, it is re-determined whether it is suitable to perform SOC calibration on the energy storage battery compartment to be calibrated. If not, a corresponding alarm message is generated.

[0071] It should be noted that if the current moment is not suitable for SOC calibration, the EMS system will predict whether a suitable time will be available for calibration based on the future power output plan of the energy storage power station. Once the predicted calibration time is reached, the EMS system needs to reassess whether calibration should be performed, taking into account the latest power station operating status and grid demand. If no suitable calibration time is found, the EMS system will generate an alarm message, prompting operators that additional manual intervention may be necessary.

[0072] EMS systems can use predictive algorithms (such as machine learning-based time series forecasting models) to predict the power demand and availability of energy storage power plants over a future timeframe. This includes taking into account factors such as seasonal variations, historical data, weather conditions, and market electricity prices.

[0073] The EMS system automatically analyzes forecast data to identify periods when grid demand is relatively low and power plant operating costs are at their lowest. These periods are considered the optimal times for SOC calibration. Approaching each predicted calibration point, the EMS system reassesses the current power plant output and grid demand to confirm whether the initial forecast conditions are still met. If changes in conditions render the predicted time point unsuitable, the EMS system recalculates the next possible time point.

[0074] If a suitable calibration time point cannot be found within a reasonable timeframe, the system will trigger an alarm, notifying operations management personnel that manual intervention is required to further analyze the situation or adjust the calibration strategy.

[0075] For example, during peak hours of the day, the power output of the energy storage power station in the current command cycle and the planned future output cannot meet the power and capacity requirements for full charging or full discharging of the energy storage battery compartment to be calibrated. Therefore, it is not suitable to perform SOC calibration at this time. Through forecasting, the EMS finds that the grid load will drop significantly during the late night, and a suitable calibration time is expected. The EMS marks this time as a potential calibration time and reassesses whether to perform SOC calibration when that time arrives. If the forecast shows that the grid load will remain high for the next few days and there is no suitable calibration time, the EMS will generate an alarm message, indicating that manual intervention or adjustment of the power station operation strategy may be necessary.

[0076] S203: If so, calculate the target power value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station.

[0077] It should be noted that if the energy storage power station is currently suitable for SOC calibration of the energy storage battery compartment to be calibrated, the target power value that each energy storage unit should achieve can be calculated based on the current power output value of the energy storage power station. This calculation is to ensure that the energy storage power station can still effectively meet the grid's needs and optimize the power station's operating efficiency even while performing SOC calibration.

[0078] Data analysis tools can be used to assess the current total power output of the power plant and, in conjunction with the total demand of the power grid, determine the power level that each energy storage unit needs to achieve. Considering that energy storage units undergoing SOC calibration need to be prioritized for output (increasing their output value) to ensure that the energy storage units to be calibrated can complete the calibration process, it is necessary to reduce the power load of other energy storage units to ensure that the total power output meets the demand.

[0079] Optimization algorithms, such as linear programming or load balancing algorithms, can be used to calculate the power reduction that uncalibrated energy storage units should receive in order to maintain the total output of the power plant.

[0080] For example, an energy storage power station has five energy storage units, each capable of providing 3MW of power during normal operation. Assuming the current grid command cycle requires a 10MW power output, if a unit sends a State of Charge (SOC) calibration signal midway through the cycle, the EMS (Energy Management System) determines whether the calibration operation for that unit can be completed within the remaining time of the current command cycle. If so, it calculates and increases the power output of that unit, while simultaneously reducing the power output of other units to ensure the total power station output reaches 10MW.

[0081] S204: Based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is reallocated so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

[0082] It should be noted that the power target value refers to the power output required by each energy storage unit to meet the grid dispatching needs. Reallocating power output refers to adjusting the actual power output of each energy storage unit based on the calculated power target value to ensure that the overall power of the power plant meets the grid's demands.

[0083] A dynamic power management system can be used to adjust the power output of each energy storage unit. This system receives the power target value from the EMS and adjusts the output of each unit in real time to adapt to grid demand and calibration requirements. The dynamic power management system can use control algorithms (such as PID controllers or fuzzy logic controllers) to finely adjust the power output, ensuring that each energy storage unit achieves its set power target.

[0084] In one exemplary embodiment, a power value allocation array for each energy storage unit is generated based on the current power output value and the power target value of each energy storage unit in the energy storage power station. The power value allocation array contains multiple power values ​​that successively approximate the power target value from the current power output value of each energy storage unit. Based on the power value allocation array for each energy storage unit, the current power output value of each energy storage unit is successively adjusted to the power target value.

[0085] Software algorithms can be used to receive the real-time power output value and the set power target value of each energy storage unit. Based on the current power output value and the target value, an array containing multiple intermediate power values ​​is generated. These values ​​constitute the transition path from the current state to the target state. The actual power output of each energy storage unit is gradually adjusted according to the sequence in the power value allocation array until the required power target value is reached.

[0086] For example, suppose an energy storage power station has three energy storage units (Unit 1, Unit 2, and Unit 3), with current power outputs of 10MW, 15MW, and 20MW respectively. The target power outputs are set to 15MW, 10MW, and 25MW. First, the system will calculate a power adjustment array for each unit, for example:

[0087] Unit 1: [10MW, 11MW, 12MW, ..., 15MW]

[0088] Unit 2: [15MW, 14MW, 13MW, ..., 10MW]

[0089] Unit 3: [20MW, 21MW, 22MW, ..., 25MW]

[0090] Then, the system will gradually adjust the power output of each energy storage unit according to these arrays until the target power of each energy storage unit is reached, thereby achieving a smooth transition of the power output value of the energy storage unit and avoiding impact on the power grid.

[0091] In one exemplary embodiment, after the SOC calibration of the energy storage battery compartment to be calibrated is completed, the power target value of each energy storage unit in the energy storage power station is recalculated, and the power output value of each energy storage unit in the energy storage power station is redistributed based on the power target value.

[0092] After the SOC calibration of the energy storage battery compartment is completed, the energy storage units that have completed SOC calibration will no longer contribute power before the energy storage power station switches between charging and discharging states, which may affect the power distribution of the entire energy storage power station. Therefore, it is necessary to recalculate the power target value that each energy storage unit should achieve to ensure that the overall power output of the power station matches the grid demand, so that the energy storage power station can quickly return to the optimal operating state after SOC calibration and continue to meet the grid's dispatch requirements.

[0093] For example, an energy storage power station has four battery compartments. Battery compartment 4 has completed its State of Charge (SOC) calibration and will no longer output power before the power station switches between charging and discharging states. The current grid demand is 450kW, meaning the total output of this energy storage power station is 450kW. The EMS calculates a new power target of 450kW for the remaining three battery compartments and decides to adjust their power outputs to 130kW, 140kW, and 180kW respectively to meet the total grid demand.

[0094] In summary, the SOC calibration method for energy storage power stations provided by this invention, through dynamic power management, enables the system to accurately calculate and adjust the target power value of energy storage units, achieving more accurate SOC calibration. While performing SOC calibration, the system considers the grid's dispatch requirements, ensuring the responsiveness and reliability of the energy storage power station to grid services. Intelligent power allocation improves the operating efficiency of the energy storage power station and optimizes its response to grid dispatch commands. By predicting and determining suitable calibration times, the system avoids calibration during peak or unstable grid load periods, reducing potential operational risks. Timely SOC calibration helps maintain battery health and extends battery life, thereby improving the economics of the energy storage power station. The system design implements automated SOC calibration decision-making and execution processes, reducing manual intervention and improving operational safety and accuracy.

[0095] Please refer to Figure 3 As shown, based on the same inventive concept as the aforementioned energy storage power station SOC calibration method, the present invention provides an energy storage power station SOC calibration system 300, which includes: a receiving module 301, a judging module 302, a calculation module 303 and an allocation module 304.

[0096] The receiving module 301 receives the SOC calibration signal sent by the energy storage battery compartment to be calibrated. The judging module 302 determines whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated based on the current power output value of the energy storage power station, the future planned value, and the estimated time for full charging or full discharging of the energy storage battery compartment to be calibrated. The calculation module 303 calculates the power target value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station. The allocation module 304 reallocates the power output values ​​of each energy storage unit in the energy storage power station based on the power target values ​​of each energy storage unit, so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

[0097] Please refer to Figure 4 As shown, embodiments of the present invention also provide an electronic device 400, which includes at least one processor 401, a memory 402 (e.g., non-volatile memory), a main memory 403, and a communication interface 404, and the at least one processor 401, memory 402, main memory 403, and communication interface 404 are connected together via a bus 405. The at least one processor 401 is used to invoke at least one program instruction stored or encoded in the memory 402 to cause the at least one processor 401 to perform various operations and functions of the energy storage power station SOC calibration method described in the various embodiments of this specification.

[0098] In the embodiments of this specification, electronic device 400 may include, but is not limited to: personal computer, server computer, workstation, desktop computer, laptop computer, notebook computer, mobile electronic device, smartphone, tablet computer, cellular phone, personal digital assistant (PDA), handheld device, messaging device, wearable electronic device, consumer electronic device, etc.

[0099] This invention also provides a computer-readable medium carrying computer-executable instructions, which, when executed by a processor, can be used to implement various operations and functions of the energy storage power station SOC calibration method described in the various embodiments of this specification.

[0100] The computer-readable medium in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0101] In this invention, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. This propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wireline, optical fiber, RF, etc., or any suitable combination thereof.

[0102] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied 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.

[0103] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus, systems, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0104] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0105] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A method for calibrating the State of Charge (SOC) of an energy storage power station, characterized in that, include: Receive the SOC calibration signal sent by the energy storage battery compartment to be calibrated; Based on the current power output of the energy storage power station, the planned future power output, and the estimated time for full charge or full discharge of the energy storage battery compartment to be calibrated, it is determined whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at present; the planned future power output refers to the power that the energy storage power station is expected to output based on forecasts or grid dispatch requirements; If so, calculate the target power value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station; Based on the power target value of each energy storage unit, the power output value of each energy storage unit in the energy storage power station is reallocated so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

2. The SOC calibration method for energy storage power stations according to claim 1, characterized in that, The energy storage battery compartment to be calibrated periodically sends a SOC calibration signal or sends a SOC calibration signal when its status is abnormal.

3. The SOC calibration method for energy storage power stations according to claim 1, characterized in that, Based on the current power output and planned future output of the energy storage power station, determine whether to perform SOC calibration on the energy storage battery compartment to be calibrated, including: If, within the current dispatch instruction cycle of the power grid dispatch center, the current power output value and future planned value of the energy storage power station can meet the power and capacity requirements for the full charging or full discharging of the energy storage battery compartment to be calibrated, then it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at this time. If, within the current dispatch instruction cycle of the power grid dispatch center, the current power output and future planned power output of the energy storage power station cannot meet the power and capacity requirements for full charging or full discharging of the energy storage battery compartment to be calibrated, then it is not appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated at this time.

4. The SOC calibration method for an energy storage power station according to claim 3, characterized in that, The method further includes: If it is not currently suitable to perform SOC calibration on the energy storage battery compartment to be calibrated, then based on the future planned values ​​of the energy storage power station, it is predicted whether there will be a suitable calibration time point in the future within a predetermined timeframe to perform SOC calibration on the energy storage battery compartment to be calibrated. If so, wait until the predicted calibration time point, and then reassess whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated. If not, then generate the corresponding alarm information.

5. The SOC calibration method for an energy storage power station according to claim 1, characterized in that, The power output of each energy storage unit within the energy storage power station is redistributed, including: Based on the current power output and target power of each energy storage unit in the energy storage power station, a power value allocation array for each energy storage unit is generated. The power value allocation array contains multiple power values ​​that successively approximate the target power value from the current power output of each energy storage unit. Based on the power value allocation array of each energy storage unit, the current power output value of each energy storage unit is successively adjusted to the power target value.

6. The SOC calibration method for an energy storage power station according to claim 1, characterized in that, The method further includes: After the SOC calibration of the energy storage battery compartment to be calibrated is completed, the power target value of each energy storage unit in the energy storage power station is recalculated, and the power output value of each energy storage unit in the energy storage power station is redistributed based on the power target value.

7. The SOC calibration method for an energy storage power station according to claim 1, characterized in that, The method further includes: If, within a predetermined period, more than a predetermined number of energy storage battery compartments on the same feeder of an energy storage power station send SOC calibration signals, SOC calibration will be performed on all energy storage battery compartments on that feeder.

8. A SOC calibration system for an energy storage power station, characterized in that, include: The receiving module is used to receive the SOC calibration signal sent by the energy storage battery compartment to be calibrated; The judgment module is used to determine whether it is appropriate to perform SOC calibration on the energy storage battery compartment to be calibrated based on the current power output value of the energy storage power station, the future planned value, and the estimated time for full charging or full discharging of the energy storage battery compartment to be calibrated; the future planned value refers to the power that the energy storage power station is expected to output based on forecasts or grid dispatch requirements; The calculation module is used to calculate the target power value of each energy storage unit in the energy storage power station based on the current power output value of the energy storage power station. The allocation module is used to reallocate the power output value of each energy storage unit in the energy storage power station based on the power target value of each energy storage unit, so that the energy storage battery compartment to be calibrated can complete full charging or full discharging calibration within the current dispatch command cycle of the power grid dispatch center, and enable the energy storage power station to meet the dispatch requirements within the current dispatch command cycle.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the SOC calibration method for energy storage power stations as described in any one of claims 1 to 7.

10. A computer-readable medium, characterized in that, The computer-readable medium carries computer-executable instructions, which, when executed by a processor, are used to implement the SOC calibration method for an energy storage power station as described in any one of claims 1 to 7.

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