Method and system for controlling a power storage system

Abstract

This invention relates to the field of power regulation technology, specifically to a method and system for controlling a power energy storage system. The method includes the following steps: acquiring the voltage and current of the energy storage device during charging; analyzing voltage fluctuations and current change trends; identifying fluctuation points; calculating fluctuation amplitude and frequency; determining the degree of deviation between the fluctuation data and the device's normal operating data; and obtaining device stability indicators. In this invention, by monitoring the voltage and current of the energy storage device during charging and deeply analyzing the fluctuation characteristics of electrical parameters, the accuracy of device stability assessment is significantly improved. Precise identification of fluctuation points and calculation of fluctuation amplitude and frequency allow for more accurate judgments on the device's behavior in different charge and discharge cycles, thereby optimizing the use and allocation of power resources. By matching the remaining capacity of the energy storage device with actual power demand, the efficiency of power allocation is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of power regulation technology, and in particular to a method and system for controlling power energy storage systems. Background Technology

[0002] The field of power regulation technology encompasses various technologies for managing and controlling the production, transmission, and distribution of electricity in power systems. The core of this field is to ensure the stability and efficiency of power supply, including load balancing, frequency control, and voltage management. Power regulation technology covers a wide range of applications from large-scale power grids to individual devices, focusing on optimizing the use and distribution of power resources through real-time data monitoring and automated control systems.

[0003] The method for controlling the power energy storage system refers to using control strategies to manage the charging and discharging behavior of power energy storage devices to support the stable operation and energy efficiency management of the power grid. The technical aspects involved include the status monitoring of power energy storage devices, energy conversion efficiency control during the charging and discharging process, and coordinated operation with other parts of the power grid. This includes using control algorithms to specify the operating parameters of the energy storage devices, such as charging time and depth of discharge, thereby achieving precise control of the behavior of the energy storage system.

[0004] Existing technologies lack flexibility in processing real-time data and responding to rapidly changing grid conditions. When power production and consumption are highly volatile, the control system cannot adapt to the power distribution needs in a timely manner, leading to inefficiency and resource waste. In particular, during peak power demand periods, the lack of refined management of the charging and discharging behavior of energy storage devices prevents the full utilization of available energy storage resources, affecting the stable operation and energy efficiency of the grid. For example, the lack of real-time monitoring of voltage fluctuations and current change trends leads to misjudgments of equipment status, thus missing the optimal time to adjust power output and reducing the utilization efficiency of energy storage devices. Summary of the Invention

[0005] To address the shortcomings of existing technologies in processing real-time data and responding to rapidly changing grid conditions, and the inability of control systems to adapt to power distribution demands in a timely manner during periods of high volatility in power production and consumption, leading to inefficiency and resource waste, particularly during peak power demand periods, the lack of refined management of energy storage device charging and discharging behavior hinders the full utilization of available energy storage resources, impacting grid stability and energy efficiency. For example, the lack of real-time monitoring of voltage fluctuations and current trends leads to misjudgments of device status, resulting in missed opportunities to adjust power output and reducing the efficiency of energy storage devices. This invention provides a method and system for controlling power energy storage systems. The technical solution is as follows:

[0006] On the one hand, a method for controlling an electric energy storage system is provided, including the following steps:

[0007] S1: Acquire the voltage and current of the energy storage device during charging, analyze the voltage fluctuation and current change trend, identify fluctuation points, calculate the fluctuation amplitude and frequency, determine the degree of deviation between the fluctuation data and the normal operation data of the device, and obtain the device stability index.

[0008] S2: Based on the equipment stability index, analyze the charging and discharging efficiency of the equipment, count the remaining capacity, determine the power demand of the equipment, calculate the power supply and demand difference, match the discharge efficiency with the power supply and demand, adjust the discharge sequence of the energy storage equipment, and obtain the regional power supply priority.

[0009] S3: Based on the power supply priority of the region, analyze the ratio of grid demand to energy storage resources, and adjust the charging period and charging power allocation according to the operating characteristics of the equipment and the regional load to generate charging scheduling optimization results;

[0010] S4: Based on the charging scheduling optimization results, extract the input and output power, calculate the energy loss rate, analyze the energy flow trend, determine the abnormal energy conversion interval, calculate the average loss rate within the interval, and obtain the energy loss index.

[0011] S5: Based on the energy loss index, call the grid load demand data, detect the equipment discharge power, calculate the matching degree of discharge power to grid load, and obtain the discharge efficiency adjustment parameters.

[0012] On the other hand, the equipment stability indicators include voltage stability, current stability, and temperature fluctuation range; the regional power supply priority includes power supply and demand balance, regional capacity adequacy rate, and efficiency matching analysis results; the charging scheduling optimization results include charging time period adjustment results, charging power allocation ratio, and optimized response capability; the energy loss indicators include loss rate calculation results, fluctuation point analysis results, and abnormal interval location; and the discharge efficiency adjustment parameters include power adjustment coefficient, load matching index, and discharge power allocation ratio.

[0013] On the other hand, the specific steps for obtaining the equipment stability index are as follows:

[0014] S101: Obtain the voltage and current of the energy storage device during charging, calculate the voltage and current change amplitude over a continuous period of time, filter the current change and voltage fluctuation range, identify the rate of temperature change within the range, analyze the correlation between temperature change and current fluctuation, and generate a temperature fluctuation impact index.

[0015] S102; Based on the temperature fluctuation impact index, extract the voltage fluctuation data of the energy storage device in each charge and discharge cycle, calculate the voltage stability during charging, identify the abnormal voltage deviation range, analyze the synchronicity of current and voltage in the charge and discharge cycle, and obtain the voltage and current synchronization characteristics.

[0016] S103: Based on the voltage and current synchronization characteristics, analyze the voltage and current change trends of the energy storage device, identify charging periods with abnormal voltage and current fluctuations, screen devices with significant fluctuation deviations during the charging process, calculate the deviation amplitude of the device's operating state, and establish device stability indicators.

[0017] On the other hand, the specific steps for obtaining the regional power supply priority are as follows:

[0018] S201: Based on the equipment stability index, analyze the energy release rate according to the charging and discharging data of the energy storage equipment, count the power output changes in each operating state, calculate the equipment power offset value, determine the power conversion ratio of the charging and discharging stages, and obtain the charging and discharging efficiency measure.

[0019] S202: Based on the charging and discharging efficiency metric, calculate the discharge power and power consumption rate of the device, analyze the operating time that the power reserve can support, compare the regional power demand and the remaining capacity of the energy storage device, and obtain the power supply and demand balance status.

[0020] S203: Based on the power supply and demand balance state, match the discharge efficiency of the energy storage device with the power supply and demand situation, optimize the device discharge power according to the regional load pressure, screen areas with significant differences in power supply and demand, adjust the discharge sequence of the energy storage device, and obtain the regional power supply priority.

[0021] On the other hand, the specific steps for obtaining the charging scheduling optimization results are as follows:

[0022] S301: Based on the regional power supply priority, analyze the load distribution of each region, identify the discharge capacity and power coverage of energy storage devices, calculate the matching degree between the devices and the regional load demand, screen energy storage devices whose discharge capacity meets the power supply demand, and obtain a list of qualified devices.

[0023] S302: Based on the list of qualified equipment, calculate the charge-discharge conversion rate during equipment operation, analyze the changing trend of regional load demand, determine the charging period of equipment that meets real-time load demand, optimize the charging efficiency of energy storage equipment, and obtain the optimal charging efficiency of the equipment.

[0024] S303: Call the optimal charging efficiency of the device, analyze the relationship between the power supply demand of the power grid and the charging amount of the energy storage device, compare the charging efficiency of the energy storage device with the power supply response rate of the power grid, adjust the charging power allocation ratio of the device, and generate the charging scheduling optimization result.

[0025] On the other hand, the charge-discharge conversion rate during the operation of the computing device is expressed by the formula:

[0026] ;

[0027] Analyze the changing trends of regional load demand, determine the charging periods of equipment that meet real-time load demand, optimize the charging efficiency of energy storage equipment, and obtain the optimal charging efficiency of the equipment.

[0028] in, Represents the charge-discharge conversion rate of the device. Representing the The charging input power of the device. Representing the The discharge output power of the device. Representing the The discharge power of the device Represents the total number of devices. This represents the duration of the device's charge / discharge cycle. This represents the magnitude of change in regional load demand.

[0029] On the other hand, the specific steps for obtaining the energy loss index are as follows:

[0030] S401: Based on the charging scheduling optimization results, monitor the real-time input and output power of the energy storage device, calculate the difference between the input and output power in different time periods, screen the abnormal power fluctuation points of the energy storage device, analyze the power offset value and duration of the abnormal points, and obtain the power fluctuation characteristics.

[0031] S402: Based on the power fluctuation characteristics, compare the total input and output power of the equipment, calculate the power conversion loss ratio, analyze the trend of energy loss, identify equipment with abnormal power loss, and obtain the energy loss analysis results.

[0032] S403: Based on the energy loss analysis results, analyze the change range of the loss rate of each device, identify the energy flow of the energy storage device, determine the abnormal energy conversion interval of the device, calculate the average loss rate within the interval, and generate energy loss index.

[0033] On the other hand, the calculation of the power conversion loss ratio uses the formula:

[0034] ;

[0035] Analyze the trend of energy loss changes, identify equipment with abnormal power loss, and obtain the energy loss analysis results;

[0036] in, Represents the power conversion loss ratio. Representing the The input power value of the device at any given time. Representing the The output power value of the device at any time. This represents the number of power data points within the statistical period.

[0037] On the other hand, the specific steps for obtaining the discharge efficiency adjustment parameters are as follows:

[0038] S501: Based on the energy loss index, call the grid load demand data, detect the real-time discharge power of the energy storage device, calculate the matching degree of the device's discharge power to the grid load demand, determine the contribution ratio of the discharge power in each time period, and obtain the discharge power matching result.

[0039] S502: Based on the discharge power matching results, calculate the increase or decrease in discharge power for each time period, compare with the changes in grid load demand, adjust the discharge rate of the energy storage device, optimize the device discharge power allocation, and obtain discharge efficiency adjustment parameters.

[0040] On the other hand, a system for controlling an energy storage system is provided, which is applied to a method for controlling an energy storage system, including:

[0041] The voltage and current monitoring module acquires the voltage and current of the energy storage device during charging, analyzes voltage fluctuations and current change trends, identifies fluctuation points, calculates fluctuation amplitude and frequency, judges the degree of deviation between fluctuation data and normal equipment operation data, and obtains equipment stability indicators.

[0042] Based on the device stability index, the charge and discharge efficiency analysis module analyzes the device's charge and discharge efficiency, calculates the remaining capacity, calculates the power supply and demand difference, matches the discharge efficiency with the power supply and demand, adjusts the discharge sequence of the energy storage device, and obtains the regional power supply priority.

[0043] The charging scheduling optimization module analyzes the ratio of grid demand to energy storage resources based on the regional power supply priority, and adjusts the charging time period and charging power allocation according to the equipment operating characteristics and regional load to generate charging scheduling optimization results.

[0044] Based on the charging scheduling optimization results, the energy loss analysis module extracts the input and output power, calculates the energy loss rate, analyzes the energy flow trend, determines the abnormal energy conversion interval, calculates the average loss rate within the interval, and obtains the energy loss index.

[0045] Based on the energy loss index, the discharge efficiency adjustment module calls the grid load demand data, detects the equipment discharge power, calculates the matching degree of discharge power to grid load, and obtains the discharge efficiency adjustment parameters.

[0046] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0047] This innovative solution significantly improves the accuracy of equipment stability assessment by monitoring the voltage and current of energy storage devices during charging and deeply analyzing the fluctuation characteristics of electrical parameters. Precise identification of fluctuation points and calculation of fluctuation amplitude and frequency allow for more accurate judgments on the behavior of the equipment in different charge and discharge cycles, thereby optimizing the use and allocation of power resources. By matching the remaining capacity of energy storage devices with actual power demand, the efficiency of power allocation is effectively improved, ensuring a balance between energy supply and demand. Furthermore, the strategy of real-time monitoring and adjustment of discharge power enhances the responsiveness to load changes, reduces energy loss, improves the system's operational flexibility and reliability, and significantly enhances the overall efficiency and stability of the power system. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 This is a flowchart of the main steps of the present invention;

[0050] Figure 2 This is a system block diagram of the present invention. Detailed Implementation

[0051] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0052] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0053] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0054] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0055] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0056] This invention provides a method for controlling a power storage system, such as... Figure 1 As shown, it includes the following steps:

[0057] S1: Obtain the voltage and current of the energy storage device during charging, analyze the voltage fluctuation and current change trend of the device, identify the fluctuation points of voltage and current, calculate the fluctuation amplitude and frequency, and combine the charging and discharging cycle of the device to determine the degree of deviation between the fluctuation data and the normal operation data of the device, and obtain the device stability index.

[0058] S2: Based on the equipment stability index, analyze the charging and discharging efficiency of the equipment, count the remaining capacity of the energy storage equipment in each region, determine the power demand to maintain the operation of the equipment, calculate the power supply and demand difference in each region, match the discharge efficiency of the energy storage equipment with the power supply and demand, adjust the discharge sequence of the energy storage equipment according to the matching result, and obtain the regional power supply priority.

[0059] S3: Based on regional power supply priority, analyze the ratio of total grid demand to available energy storage resources, screen energy storage devices that meet the priority sequence, and adjust the charging time and charging power allocation of the devices according to the operating characteristics of the devices and the regional load conditions to generate charging scheduling optimization results.

[0060] S4: Based on the charging scheduling optimization results, extract the real-time input and output power of the energy storage device, compare the differences in the input and output power of the device, calculate the energy loss rate, analyze the energy flow trend, determine the abnormal energy conversion interval of the device, calculate the average loss rate within the interval, and obtain the energy loss index.

[0061] S5: Based on energy loss indicators, call grid load demand data, detect the real-time discharge power of energy storage devices, calculate the matching degree of discharge power to grid load, and obtain discharge efficiency adjustment parameters.

[0062] Equipment stability indicators include voltage stability, current stability, and temperature fluctuation range; regional power supply priority includes power supply and demand balance, regional capacity adequacy rate, and efficiency matching analysis results; charging scheduling optimization results include charging time period adjustment results, charging power allocation ratio, and optimized response capability; energy loss indicators include loss rate calculation results, fluctuation point analysis results, and abnormal interval location; and discharge efficiency adjustment parameters include power adjustment coefficient, load matching indicators, and discharge power allocation ratio.

[0063] The specific steps for obtaining equipment stability indicators are as follows:

[0064] S101: Obtain the voltage and current of the energy storage device during charging, calculate the voltage and current change amplitude over a continuous period of time, filter the current change and voltage fluctuation range, identify the rate of temperature change within the range, analyze the correlation between temperature change and current fluctuation, and generate a temperature fluctuation impact index.

[0065] The data recording interval is set to 1 second, and a high-precision data acquisition device is used to monitor the voltage. and current Continuous monitoring is performed during one charging cycle. Within, calculate any point in time. Compared with the previous time point voltage change rate and rate of change of current ,when Greater than the set current surge threshold ,and Exceeding the set voltage fluctuation threshold Record the time point. The start time is set, and monitoring continues until the fluctuation returns to within the threshold, which is set as [threshold value]. , As an example, extract the corresponding temperature data within the selected fluctuation range. Calculate the rate of temperature change ,when greater than the temperature fluctuation threshold If we assume If the temperature changes significantly during that period, the mean of the rate of temperature change is calculated across all fluctuation ranges. With the mean of the rate of change of current The correlation between them was determined using the Pearson correlation coefficient. The linear relationship is measured, and the temperature fluctuation impact index is calculated based on the correlation strength. ,in As the weighting coefficient, set As an example, we obtain the index of the impact of temperature fluctuations.

[0066] S102; Based on the temperature fluctuation impact index, extract the voltage fluctuation data of the energy storage device in each charge and discharge cycle, calculate the voltage stability during charging, identify the abnormal voltage deviation range, analyze the synchronicity of current and voltage in the charge and discharge cycle, and obtain the voltage and current synchronization characteristics.

[0067] Based on the influence index of temperature fluctuation Voltage data is extracted from the energy storage device during each charge-discharge cycle, and voltage stability is calculated using the standard deviation. The formula is ,in The voltage value within the period. Set a voltage stability threshold for the average voltage. ,when Identify abnormal voltage deviation ranges and further analyze current. With voltage To determine the synchronicity within the period, calculate the time lag cross-correlation function between the two. Determine the lag time The corresponding maximum correlation coefficient, if The synchronization is considered poor, and the voltage and current synchronization characteristics are calculated. ,formula ,when At that time, it was believed that the synchronization was insufficient, so the voltage and current synchronization characteristics were obtained.

[0068] S103: Based on voltage and current synchronization characteristics, analyze the voltage and current change trends of energy storage devices, identify charging periods with abnormal voltage and current fluctuations, screen devices with significant fluctuation deviations during charging, calculate the deviation amplitude of device operating status, and establish device stability indicators.

[0069] Based on voltage and current synchronization characteristics Analyze the voltage and current variation trends of energy storage devices and calculate the trend function. slope and ,in Indicates the rate of change of voltage trend. Indicates the rate of change of current trend, if or This identifies charging periods with abnormal voltage and current fluctuations. Devices with significant fluctuation deviations are then selected from all devices, and the operational status deviation of each device is calculated. ,when When the deviation was considered large, equipment stability indicators were established. for ,in Establish a device stability index for the maximum offset value among all devices.

[0070] The specific steps for obtaining regional power supply priority are as follows:

[0071] S201: Based on the equipment stability index, analyze the energy release rate according to the charging and discharging data of the energy storage equipment, count the power output changes in each operating state, calculate the equipment power offset value, determine the power conversion ratio of the charging and discharging stages, and obtain the charging and discharging efficiency measure.

[0072] Data on the charging and discharging of energy storage devices is collected, including input current and voltage during charging, and output current and voltage during discharging. All data is recorded in time series format, including the charging current. With voltage At each time point Data storage as Discharge current With voltage Data storage as Secondly, the power output changes under each operating state are statistically analyzed. Specific steps include calculating the instantaneous input power of the energy storage device during the charging phase. and the instantaneous output power during the discharge phase and at fixed time intervals Calculate the rate of change of power per unit time. Then, the power change characteristics under different operating conditions are compared, and a curve of power change over time is plotted to observe the trend. Further calculation of the equipment power offset value is then performed. The power offset value can be defined as the maximum deviation of power during charging and discharging, i.e. By calculating under different charge and discharge conditions To determine the power deviation trend of the equipment under different operating conditions, and in order to determine the power conversion ratio between the charging and discharging stages, it is necessary to calculate the charging and discharging efficiency, which can be defined as the total energy output during the discharging process. Total energy input during charging The ratio, i.e., charge / discharge efficiency Under different charge / discharge rates (such as 1C, 2C, 0.5C, etc.) and different temperature environments (such as 25℃, 10℃, -10℃, etc.), the charge / discharge efficiency is calculated respectively, and the efficiency changes under different operating conditions are statistically analyzed to obtain the final charge / discharge efficiency measurement results.

[0073] S202: Based on the charging and discharging efficiency metric, calculate the discharge power and power consumption rate of the equipment, analyze the operating time that the power reserve can support, compare the regional power demand and the remaining capacity of the energy storage equipment, and obtain the power supply and demand balance status.

[0074] Discharge power of computing devices and power consumption rate The formula for calculating discharge power is: ,in Indicates energy storage devices The total amount of electricity released during the discharge cycle The discharge duration is determined by the rate of energy consumption. The calculation is performed in kWh / s. Based on the results, the operating time that the power reserves can support is analyzed. The calculation formula is as follows: ,in Indicates the remaining available power of the energy storage device; set example parameters. kWh, Hours, kW, kWh / s, if the remaining power kWh, then runtime Hourly, obtain regional electricity demand and calculate demand. With energy storage capacity The ratio, i.e., the electricity supply-demand ratio If demand kWh, total energy storage capacity kWh, then Thus, a state of balance between power supply and demand is achieved.

[0075] S203: Based on the power supply and demand balance, match the discharge efficiency of energy storage equipment with the power supply and demand situation, optimize the equipment discharge power according to the regional load pressure, screen areas with significant differences in power supply and demand, adjust the discharge sequence of energy storage equipment, and obtain the regional power supply priority.

[0076] Matching the discharge efficiency of energy storage devices Based on the power supply and demand situation, the formula for calculating the discharge efficiency is as follows: ,in Set the total amount of electricity stored by the energy storage device during charging. kWh, kWh, then Optimize equipment discharge power based on regional load pressure, and calculate regional load pressure. for ,in To meet regional electricity demand, For regional energy storage capacity, if kWh, kWh, then Regions with significant differences between electricity supply and demand are selected, and the supply-demand imbalance ratio is calculated. If the supply-demand ratio ,but ,when Greater than the set threshold At that time, it was assumed that there was a significant difference between power supply and demand, so the discharge sequence of energy storage devices was adjusted and priority weights were calculated. ,in For the region Based on the load pressure, the regional power supply priority is obtained.

[0077] The specific steps for obtaining the charging scheduling optimization results are as follows:

[0078] S301: Based on the regional power supply priority, analyze the load distribution of each region, identify the discharge capacity and power coverage of energy storage devices, calculate the matching degree between the devices and the regional load demand, screen energy storage devices whose discharge capacity meets the power supply demand, and obtain a list of qualified devices.

[0079] Calculate the load density of the area The formula is ,in For the region Total load demand, Let the area be the region. If a certain region... kW, km2, then kW / km2, indicating the discharge capacity of energy storage devices. and power coverage The formula for calculating discharge capacity is as follows: Example settings kWh, Hours, kW, the formula for calculating the power coverage rate is: If a certain area kWh, then The degree of matching between computing equipment and regional load demand The formula is ,like kW, kW, then Select energy storage devices whose discharge capacity meets the power supply requirements and set a matching threshold. ,when At that time, the energy storage equipment is considered qualified, and a list of qualified equipment is obtained.

[0080] S302: Based on the list of qualified equipment, calculate the charge-discharge conversion rate during equipment operation, analyze the changing trend of regional load demand, determine the charging period of equipment that meets real-time load demand, optimize the charging efficiency of energy storage equipment, and obtain the optimal charging efficiency of the equipment.

[0081] The charge-discharge conversion rate during equipment operation is calculated using the following formula:

[0082] ;

[0083] Analyze the changing trends of regional load demand, determine the charging periods of equipment that meet real-time load demand, optimize the charging efficiency of energy storage equipment, and obtain the optimal charging efficiency of the equipment.

[0084] in, Represents the charge-discharge conversion rate of the device. Representing the The charging input power of the device. Representing the The discharge output power of the device. Representing the The discharge power of the device Represents the total number of devices. This represents the duration of the device's charge / discharge cycle. The magnitude of change in regional load demand;

[0085] Device charging input power Data is collected by the energy storage system's power metering device, and the calculation method is the product of charging power and charging time. The charging power of a certain device is... kW, charging time is h, then its input power:

[0086] ;

[0087] Discharge output power Similarly, calculated from discharge power and discharge time, the discharge power is: kW, discharge duration is h:

[0088] ;

[0089] Equipment discharge power It is the energy output value per unit time, which is monitored and recorded in real time by a power meter. Let its value be... kW.

[0090] Total number of equipment This represents the total number of energy storage devices currently operating in the area, which can be read through the device management system. The total number of such devices in the area can be set. Taiwanese equipment, namely ;

[0091] Charge / discharge cycle duration The time taken for the device to complete the charging and discharging process is recorded by the operation scheduling system and set as [time value]. h;

[0092] Load demand variation This reflects the fluctuations in load demand and can be calculated by the difference between the maximum and minimum values ​​of the original load data. The highest load demand in the current period is... kW, minimum value kW:

[0093] ;

[0094] Formula calculation derivation:

[0095] Substitute the obtained parameters into the formula:

[0096] ;

[0097] Calculate the ratio inside the parentheses:

[0098]

[0099] Calculate the product again:

[0100] ;

[0101] Summation term:

[0102] ;

[0103] Calculate the denominator:

[0104] ;

[0105]

[0106] The result indicates that the charge-discharge conversion rate of the equipment is approximately [percentage missing] during the current operating cycle. This means that the input energy of the device during the charging phase is slightly more than the output energy during the discharging phase, indicating potential for energy loss or optimization of the charging strategy. The conversion rate calculation results can be further used to optimize the charging period of the energy storage device, adjust the charging strategy, and improve the overall charging efficiency.

[0107] S303: Calculate the optimal charging efficiency of the device, analyze the relationship between the power supply demand of the grid and the charging amount of the energy storage device, compare the charging efficiency of the energy storage device with the power supply response rate of the grid, adjust the charging power allocation ratio of the device, and generate the charging scheduling optimization result.

[0108] Analyze the power supply demand of the power grid and the charging capacity of energy storage devices The relationship between supply and demand, calculating the supply-demand ratio The formula is ,like kW, kWh, then Comparing the charging efficiency of energy storage devices Power supply response rate with the power grid Calculate the charging efficiency deviation The formula is ,set up ,but Adjust the charging power allocation ratio of the equipment and calculate the charging power allocation coefficient. The formula is This generates optimized charging scheduling results.

[0109] The specific steps for obtaining energy loss indicators are as follows:

[0110] S401: Based on the charging scheduling optimization results, monitor the real-time input and output power of the energy storage device, calculate the difference between the input and output power in different time periods, screen the abnormal power fluctuation points of the energy storage device, analyze the power offset value and duration of the abnormal points, and obtain the power fluctuation characteristics.

[0111] Monitor the real-time input power of energy storage devices and output power Calculate the difference time period The difference between internal input and output power is expressed by the formula: Example settings kW, kW, then kW, screen for abnormal power fluctuations in energy storage devices, and calculate fluctuation deviations. The formula is ,in This is the average value of normal power fluctuations. kW, then kW, set anomaly detection threshold kW, if If the time period is an anomaly, then the power offset value and duration of the anomaly are analyzed, and the duration of the anomaly is calculated. The formula is ,in For the increment of the abnormal duration, if minutes, cumulative If there are 1 outlier, then The power fluctuation characteristics were obtained over several minutes.

[0112] S402: Based on the power fluctuation characteristics, compare the total input and output power of the equipment, calculate the power conversion loss ratio, analyze the changing trend of energy loss, identify equipment with abnormal power loss, and obtain the energy loss analysis results.

[0113] The power conversion loss ratio is calculated using the following formula:

[0114] ;

[0115] Analyze the trend of energy loss changes, identify equipment with abnormal power loss, and obtain the energy loss analysis results;

[0116] in, Represents the power conversion loss ratio. Representing the The input power value of the device at any given time. Representing the The output power value of the device at any time. This represents the number of power data points within the statistical period;

[0117] Input power The power meter is used to monitor the device input in real time, recording data at 1-second intervals, with the observation period set to 10 minutes. Input voltage is obtained through a sensor. and input current Calculate the input power;

[0118] ;

[0119] Monitoring data shows that the input voltage fluctuates between 220V and 2%, and the input current ranges from 4A to 6A.

[0120] Selecting a subset of data as the calculation sample, the data for the first five time points are given:

[0121] ;

[0122] ;

[0123] ;

[0124] ;

[0125] ;

[0126] Output power collection

[0127] The power output of the device is monitored by a power meter at the load end, and data is recorded once per second.

[0128] By output voltage and output current calculate;

[0129] Calculation method:

[0130] ;

[0131] Monitoring data shows that the output voltage fluctuates between 210V and 3%, and the output current ranges from 3.8A to 5.5A.

[0132] Select data from the first five time points:

[0133] ;

[0134] ;

[0135] ;

[0136] ;

[0137] ;

[0138] Calculate the numerator:

[0139] ;

[0140] ;

[0141] ;

[0142] Calculate the denominator:

[0143] ;

[0144] ;

[0145] ;

[0146] calculate :

[0147] ;

[0148] The result indicates that the power conversion loss ratio of the device is 0.499, which means that the conversion loss between input power and output power is relatively high during the observation period. This value is used to judge the energy efficiency of the device and can be further compared with the rated loss threshold to evaluate the operating status of the device.

[0149] S403: Based on the energy loss analysis results, analyze the change range of the loss rate of each device, identify the energy flow of the energy storage device, determine the abnormal energy conversion interval of the device, calculate the average loss rate within the interval, and generate energy loss index.

[0150] Calculate the loss rate The formula is ,in To input energy, To output energy, set an example. kWh, kWh, then Identify the energy flow of energy storage devices and calculate the energy flow ratio. The formula is ,set up kWh, Hours, kW, determine the abnormal energy conversion range of the equipment, and calculate the average loss rate within the range. The formula is ,in The number of measurement points within the time interval, if , , , ,but This generates energy loss indicators.

[0151] The specific steps for obtaining the discharge efficiency adjustment parameters are as follows:

[0152] S501: Based on the energy loss index, call the grid load demand data, detect the real-time discharge power of the energy storage device, calculate the matching degree of the device's discharge power to the grid load demand, determine the contribution ratio of the discharge power in each time period, and obtain the discharge power matching result.

[0153] Calling grid load demand data Detect the real-time discharge power of energy storage devices The degree of matching between the discharge power of the calculation equipment and the grid load demand. The formula is Example settings kW, kW, then Determine the contribution ratio of discharge power in each time period. The formula is ,in For time period Discharge power, setting example kW, total discharge power over all time periods kW, then The discharge power matching results were obtained.

[0154] S502: Based on the discharge power matching results, calculate the increase or decrease in discharge power for each time period, compare with the changes in grid load demand, adjust the discharge rate of the energy storage device, optimize the device discharge power allocation, and obtain discharge efficiency adjustment parameters.

[0155] Calculate the increase or decrease in discharge power for each time period. The formula is Example settings kW, kW, then kW, in comparison with changes in grid load demand The formula is Example settings kW, kW, then kW, adjust the discharge rate of the energy storage device, and calculate the discharge rate adjustment coefficient. The formula is Example settings kW, kW, then Optimize the equipment discharge power distribution and calculate the optimized discharge efficiency adjustment parameters. The formula is ,set up ,but Thus, the discharge efficiency adjustment parameters are obtained.

[0156] like Figure 2 As shown, the system for controlling the power storage system includes:

[0157] The voltage and current monitoring module acquires the voltage and current of the energy storage device during charging, analyzes voltage fluctuations and current change trends, identifies fluctuation points, calculates fluctuation amplitude and frequency, judges the degree of deviation between fluctuation data and normal equipment operation data, and obtains equipment stability indicators.

[0158] The charge and discharge efficiency analysis module analyzes the charge and discharge efficiency of the equipment based on the equipment stability index, calculates the remaining capacity, calculates the power supply and demand difference, matches the discharge efficiency with the power supply and demand, adjusts the discharge sequence of the energy storage equipment, and obtains the regional power supply priority.

[0159] The charging scheduling optimization module analyzes the ratio of grid demand to energy storage resources based on regional power supply priority, and adjusts the charging time period and charging power allocation according to the operating characteristics of the equipment and regional load, generating charging scheduling optimization results.

[0160] Based on the charging scheduling optimization results, the energy loss analysis module extracts the input and output power, calculates the energy loss rate, analyzes the energy flow trend, determines the abnormal energy conversion interval, calculates the average loss rate within the interval, and obtains the energy loss index.

[0161] The discharge efficiency adjustment module, based on energy loss indicators, calls grid load demand data, detects equipment discharge power, calculates the matching degree between discharge power and grid load, and obtains discharge efficiency adjustment parameters. It should be understood that the term "and / or" in this document merely describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, and B alone. A and B can be singular or plural. Additionally, the character " / " in this document generally indicates an "or" relationship between the preceding and following related objects, but it may also indicate an "and / or" relationship; please refer to the surrounding text for a more detailed understanding.

[0162] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0163] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0164] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0165] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0166] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0167] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0168] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0169] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0170] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. Method for controlling an electrical energy storage system, characterized in that, The method includes: S101: Obtain the voltage and current of the energy storage device during charging, calculate the voltage and current change amplitude over a continuous time, filter the current change and voltage fluctuation range, identify the rate of temperature change within the range, analyze the correlation between temperature change and current fluctuation, and generate a temperature fluctuation impact index. S102; Based on the temperature fluctuation impact index, extract the voltage fluctuation data of the energy storage device in each charge and discharge cycle, calculate the voltage stability during charging, identify the abnormal voltage deviation range, analyze the synchronicity of current and voltage in the charge and discharge cycle, and obtain the voltage and current synchronization characteristics. S103: Based on the voltage and current synchronization characteristics, analyze the voltage and current change trends of the energy storage device, identify charging periods with abnormal voltage and current fluctuations, screen devices with significant fluctuation deviations during charging, calculate the deviation of the device's operating state, and establish device stability indicators. S201: Based on the equipment stability index, analyze the energy release rate according to the charging and discharging data of the energy storage equipment, count the power output changes in each operating state, calculate the equipment power offset value, determine the power conversion ratio of the charging and discharging stages, and obtain the charging and discharging efficiency measure. S202: Based on the charging and discharging efficiency metric, calculate the discharge power and power consumption rate of the device, analyze the operating time that the power reserve can support, compare the regional power demand and the remaining capacity of the energy storage device, and obtain the power supply and demand balance status. S203: Based on the power supply and demand balance state, match the discharge efficiency of the energy storage device with the power supply and demand situation, optimize the device discharge power according to the regional load pressure, screen areas with obvious differences in power supply and demand, adjust the discharge sequence of the energy storage device, and obtain the regional power supply priority. S301: Based on the regional power supply priority, analyze the load distribution of each region, identify the discharge capacity and power coverage of energy storage devices, calculate the matching degree between the devices and the regional load demand, screen energy storage devices whose discharge capacity meets the power supply demand, and obtain a list of qualified devices. S302: Based on the list of qualified equipment, calculate the charge-discharge conversion rate during equipment operation, analyze the changing trend of regional load demand, determine the charging period of equipment that meets real-time load demand, optimize the charging efficiency of energy storage equipment, and obtain the optimal charging efficiency of the equipment. S303: Call the optimal charging efficiency of the device, analyze the relationship between the power supply demand of the power grid and the charging amount of the energy storage device, compare the charging efficiency of the energy storage device with the power supply response rate of the power grid, adjust the charging power allocation ratio of the device, and generate the charging scheduling optimization result. S401: Based on the charging scheduling optimization results, monitor the real-time input and output power of the energy storage device, calculate the difference between the input and output power in different time periods, screen the abnormal power fluctuation points of the energy storage device, analyze the power offset value and duration of the abnormal points, and obtain the power fluctuation characteristics. S402: Based on the power fluctuation characteristics, compare the total input and output power of the equipment, calculate the power conversion loss ratio, analyze the trend of energy loss, identify equipment with abnormal power loss, and obtain the energy loss analysis results. S403: Based on the energy loss analysis results, analyze the change range of the loss rate of each device, identify the energy flow of the energy storage device, determine the abnormal energy conversion interval of the device, calculate the average loss rate within the interval, and generate energy loss index. S5: Based on the energy loss index, call the grid load demand data, detect the equipment discharge power, calculate the matching degree of discharge power to grid load, and obtain the discharge efficiency adjustment parameters.

2. The method for controlling a power energy storage system according to claim 1, characterized in that, The equipment stability indicators include voltage stability, current stability, and temperature fluctuation range. The regional power supply priority includes power supply and demand balance, regional capacity adequacy rate, and efficiency matching analysis results. The charging scheduling optimization results include charging time period adjustment results, charging power allocation ratio, and optimized response capability. The energy loss indicators include loss rate calculation results, fluctuation point analysis results, and abnormal interval location. The discharge efficiency adjustment parameters include power adjustment coefficient, load matching index, and discharge power allocation ratio.

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