Energy storage equipment control method for load balance of power system

Abstract

The invention discloses an energy storage equipment control method for power system load balance, which relates to the field of power system automation control, and comprises the following steps: acquiring a total load, constructing a control platform, based on the total load, dividing through dynamic time periods, forming fluctuation types, screening fluctuation loads, and based on the total load, the fluctuation loads and the fluctuation loads, selecting a control platform, calculating a fluctuation load weight, a maximum load power line and an alert load power line, obtaining a total emission power in the power system, calculating a fluctuation emission power, obtaining a total storage amount, dividing the power storage system into use storage, alarm storage and stable storage, forming a combined regulation and control platform, and constructing a dynamic alarm regulation and control system of the control platform. The method has the advantages that by means of dynamic time period division, fluctuation load calculation, energy storage equipment classification regulation and control and the like, real-time monitoring and dynamic regulation and control of the load of the electric power system are achieved, and therefore the stability of the electric power system and the utilization rate of the energy storage equipment are improved.

Description

Technical Field

[0001] The present invention relates to the field of power system automation control, and in particular to a method for controlling energy storage equipment for load balancing of a power system. Background Art

[0002] With the continuous development of the power system, the volatility of power load has become increasingly significant, especially during peak and off-peak periods, when the load difference of the power system is large. The traditional load balancing method of the power system mainly relies on the regulation of the generator, but this method has problems such as slow response speed and low regulation accuracy. In order to cope with the fluctuation of power load, energy storage devices have gradually been introduced into the power system to balance the load fluctuation. However, when dealing with complex load fluctuations, the existing energy storage device control methods still have problems such as untimely regulation and low utilization of energy storage devices. Therefore, there is an urgent need for a control method that can monitor power load fluctuations in real time and dynamically regulate energy storage devices to improve the stability of the power system and the utilization of energy storage devices. Summary of the invention

[0003] In order to solve the above technical problems, a method for controlling energy storage equipment for load balancing of power systems is provided. This technical solution solves the problems raised in the above background technology, such as untimely regulation and control and low utilization rate of energy storage equipment when dealing with complex load fluctuations.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is: A method for controlling energy storage equipment for load balancing in a power system, based on sensors at power detection points, obtains power data of loads in the power system, records it as total load, and builds a control platform; Based on the total load, multiple fluctuation types are formed through dynamic time period division, and the load data with the same fluctuation type are selected as the fluctuating load, and the division process and fluctuation type are fed back to the control platform; Based on the total load and fluctuating load, calculate the proportion of each fluctuating load in the total load power, which is recorded as the fluctuating load weight; Based on the fluctuating load, calculate the maximum load power line and the warning load power line; Obtain the power data generated by the power supply in the power system, recorded as the total generated power; Based on the total output power, according to the node load power weight, the output power data within each fluctuation type is calculated and recorded as the fluctuating output power; The difference between the fluctuating power and the maximum load power in the corresponding time period is calculated to obtain the difference between the fluctuating power and the maximum load power, which is recorded as the total storage amount; Based on the fluctuating power output, the power storage system is divided into usage storage, alarm storage and stable storage, which form a joint control platform; The joint control platform is linked to the control platform, and combined with dynamic time period division to form a dynamic alarm control system for the control platform.

[0005] Preferably, the formation of multiple fluctuation types based on the total load and divided by dynamic time periods specifically includes: Taking each hour as a node, a day is divided into multiple local time periods, and the power consumption in the local time period is counted to obtain the local load power; Based on the local load power, the average value of the local load power is calculated and recorded as the standard load power; Arrange the data of local load power from small to large, select the first 10 data and the last 10 data of the row arrangement, and record them as influencing factors; Delete the influencing factors in the arrangement to form fluctuating row and column data; Based on multiple fluctuation row and column data, the average value of the fluctuation row and column data is calculated to obtain a low fluctuation threshold value; Add the low fluctuation threshold to the standard load power to get the medium load power; Multiply the medium load power by the proportion of the influencing factor in the total data to obtain the medium fluctuation threshold; Based on the local load power data, the local load powers in adjacent local time periods are subtracted to obtain multiple power differences; The adjacent local time periods with power difference less than the low fluctuation threshold are recorded as low fluctuation time groups, and the local time periods with larger local load power in the low fluctuation time groups are recorded as low fluctuation types; The adjacent local time periods with power difference between the low fluctuation threshold and the medium fluctuation threshold are recorded as the medium fluctuation time group, and the local time period with large local load power in the medium fluctuation time group is recorded as the medium fluctuation type; Adjacent local time periods with power differences higher than the medium fluctuation threshold are recorded as high fluctuation time groups, and local time periods with larger local load power within the high fluctuation time groups are recorded as high fluctuation types.

[0006] Preferably, the step of screening load data with the same fluctuation type and setting them as fluctuating loads specifically includes: The local load power data of the local time period of the low-fluctuation type is aggregated to form a low-fluctuation load, which is monitored by the control platform at a single time. The local load power data of the local time period of the medium fluctuation type is aggregated to form a medium fluctuation load, which is monitored multiple times by the control platform at regular intervals; The local load power data of the local time period of the high fluctuation type is aggregated to form a high fluctuation load, which is monitored by the control platform.

[0007] Preferably, the calculation of the maximum load power line and the warning load power line based on the fluctuating load specifically includes: Based on all the data in the fluctuating load, the maximum value of the local load power in the fluctuation type is selected and recorded as the maximum load power; Connect the maximum load powers of each fluctuation type to form a maximum load power line; Based on multiple influencing factors, the average values ​​of the influencing factors are calculated to obtain the influencing average value; Calculate the ratio of the maximum load power to the total load power, which is recorded as the maximum load weight; Multiply the maximum load weight by the influence average value to obtain the influence fluctuation parameter; Multiply the maximum load power by the influencing fluctuation parameter to obtain the warning load power; Connect the warning load powers of each fluctuation type to form a warning load power line.

[0008] Preferably, the combined regulation mechanism formed by using storage, alarm storage and stable storage specifically includes: Setting current transformers and voltage transformers in the use storage, alarm storage and stable storage, and connecting the current transformers and voltage transformers to the control platform; Based on current transformers, the internal power parameters of the usage storage, alarm storage and stable storage are monitored, and the monitoring results are fed back to the control platform; The control platform coordinates and controls the generation and load of power using storage, alarm storage and stable storage based on the detection results of the current transformer.

[0009] Preferably, the control platform controls the generation and load of the use storage, alarm storage and stable storage power based on the detection result of the current transformer, specifically including: When the stored power in the usage storage is lower than the maximum load power line, the control platform will turn on the alarm storage, so that the alarm storage enters the discharge state and shares the overall power load synchronously with the usage storage; The fluctuating load of the previous month is obtained through the control platform database and recorded as the preliminary data, and multiple preliminary data are fitted with respect to time to form a preliminary curve, and the horizontal axis of the preliminary curve is time; Combine the prepared data and its corresponding time into a coordinate point, where the horizontal coordinate of the coordinate point is time; Take the average of the preliminary data at the coordinate points above the preliminary curve and record it as the preset upper limit; Take the average of the preliminary data at the coordinate points below the preliminary curve and record it as the preset lower limit; When the alarm storage power reaches the preset upper limit, the control platform will open the stable storage, so that the power inside the alarm storage flows to the stable storage, so that the alarm storage power drops below the preset upper limit; When the alarm storage power is less than the preset lower limit, the control platform will turn on the stable storage, allowing the power inside the stable storage to flow to the alarm storage, so that the power inside the alarm storage reaches above the preset lower limit.

[0010] Preferably, associating the joint control platform with the control platform and combining the dynamic time period division to form a dynamic alarm control system for the control platform specifically includes: Based on the current transformers and voltage transformers set in the usage storage, alarm storage and stable storage, the actual power data in the usage storage, alarm storage and stable storage are obtained, and the actual power data is fed back to the control platform; Connect the sensors at the power detection points to the control platform to obtain real-time load data in the power system, and incorporate the real-time load data into the total load to achieve real-time update of the total load; The control platform can update the low fluctuation threshold and the medium fluctuation threshold in real time according to the real-time updated total load and the division rules, complete the calculation of the fluctuating load, the calculation of the maximum load power line and the calculation of the warning load power line, and feed back the update results to the control platform; The key sites in the power system are assumed to be nodes, and the nodes share the load data in the control platform through the communication network; Install an embedded server at the node, connect the server to the power detection equipment, and control it uniformly through the control platform; The control platform periodically obtains summary data from edge nodes to obtain the actual total load, actual fluctuation type, actual maximum load power line and actual warning load power line, and feeds them back to the control platform. The actual maximum load power line is a curve of the actual maximum load power fitting over time, and the actual warning load power line is a curve of the actual warning load power fitting over time. Based on the calculated maximum load power line, the calculated warning load power line, the actual maximum load power line and the actual warning load power line, it is determined whether the power output is in a normal state. If it is in a normal state, no output is made. If it is not in a normal state, it is fed back to the dynamic alarm control system of the control platform. The dynamic alarm control system monitors the power in real time.

[0011] Preferably, the real-time monitoring of power by the dynamic alarm control system specifically includes: Input the calculated maximum load power line and the actual maximum load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the maximum load power line and the actual maximum load power line, and record it as the maximum average value; The maximum average value is fitted with respect to time to form a maximum power line, where the horizontal coordinate of the maximum power line is time and the vertical coordinate is the maximum load power; Input the calculated warning load power line and the actual warning load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the warning load power line and the actual warning load power line, and record it as the warning average value; The warning average value is fitted with respect to time to form a warning power line, the horizontal axis of the warning power line is time, and the vertical axis is the warning load power; The time corresponding to the real-time load power is used as the characteristic time, the ordinate corresponding to the characteristic time in the warning power line is used as the first ordinate, and the ordinate corresponding to the characteristic time in the maximum power line is used as the second ordinate; If the real-time load power is greater than the first vertical coordinate but not more than the second vertical coordinate, the control platform will generate a secondary alarm, notify the operator to check the power usage of the detection point, and feedback the inspection results to the control platform. If the real-time load power is greater than the second vertical coordinate, the control platform will generate a first-level alarm, automatically open the alarm storage, so that the alarm storage and the use of storage coordinate the load, and perform analysis and prediction based on the inspection results fed back in the second-level alarm.

[0012] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a method for controlling energy storage equipment for load balancing of power systems. By taking each hour as a node, a day is divided into multiple local time periods, and based on the average value of the local load power and the fluctuation column data, a low fluctuation threshold and a medium fluctuation threshold are dynamically calculated, which can more accurately identify low fluctuation, medium fluctuation and high fluctuation types. According to different types of weight analysis, the power output of the energy storage equipment is dynamically adjusted according to the fluctuating load weight, which can more reasonably allocate the power output of the energy storage equipment and optimize the use efficiency of the energy storage equipment. When the fluctuating load weight is high, the system will give priority to using alarm storage and stable storage to share the power load, ensure the stable operation of the power system, effectively solve the problem of low efficiency of energy storage equipment in traditional methods, and improve the use efficiency of energy storage equipment and the overall performance of the power system. The present invention proposes a method for controlling energy storage equipment for load balancing of power systems. By constructing a joint control platform, the use storage, alarm storage and stable storage are uniformly managed, and combined with dynamic time period division, a control platform dynamic alarm control system is formed. It is capable of acquiring load data in the power system and power parameters of the energy storage equipment in real time, and automatically adjusting the power output of the energy storage equipment according to the real-time updated total load and fluctuation type. When the real-time load power exceeds the warning load power line, the system will automatically generate an alarm and turn on the alarm storage to ensure the stable operation of the power system, forming a real-time monitoring and automatic adjustment mechanism, which can effectively solve the problem of untimely power load adjustment in traditional methods and improve the stability and reliability of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 It is a schematic diagram of a process flow of forming multiple fluctuation types based on the total load through dynamic time division in the present invention; Figure 3 A schematic diagram of a process of selecting load data with the same fluctuation type and setting them as fluctuating loads in the present invention; Figure 4 It is a schematic diagram of a flow chart of calculating a maximum load power line and a warning load power line based on a fluctuating load in the present invention; Figure 5 A schematic diagram of a process for forming a joint control mechanism using storage, alarm storage and stable storage in the present invention; Figure 6 It is a flow chart of the control platform in the present invention, based on the detection result of the current transformer, to adjust and control the generation and load of the use storage, alarm storage and stable storage power; Figure 7 The present invention relates to the joint control platform to the control platform, and combines the dynamic time period division to form a flow chart of the dynamic alarm control system of the control platform; Figure 8 It is a schematic diagram of the process of real-time monitoring of power by the dynamic alarm control system in the present invention. DETAILED DESCRIPTION

[0014] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0015] Reference Figure 1 As shown, a method for controlling energy storage equipment for load balancing of a power system is provided, which obtains power data of loads in the power system based on sensors at power detection points, records the data as total load, and constructs a control platform; Based on the total load, multiple fluctuation types are formed through dynamic time period division, and the load data with the same fluctuation type are selected as the fluctuating load, and the division process and fluctuation type are fed back to the control platform; Based on the total load and fluctuating load, calculate the proportion of each fluctuating load in the total load power, which is recorded as the fluctuating load weight; Based on the fluctuating load, calculate the maximum load power line and the warning load power line; Obtain the power data generated by the power supply in the power system, recorded as the total generated power; Based on the total output power, according to the node load power weight, the output power data within each fluctuation type is calculated and recorded as the fluctuating output power; The difference between the fluctuating power and the maximum load power in the corresponding time period is calculated to obtain the difference between the fluctuating power and the maximum load power, which is recorded as the total storage amount; Based on the fluctuating power output, the power storage system is divided into usage storage, alarm storage and stable storage, which form a joint control platform; The joint control platform is linked to the control platform, and combined with dynamic time period division to form a dynamic alarm control system for the control platform.

[0016] A distributed intelligent sensor array is used to collect load power data from each monitoring point in the power system in real time. After data preprocessing is completed through the edge computing node, the data is transmitted to the control platform to form a total load data set. The control platform integrates a real-time database, a visualization interface and an intelligent decision-making module to extract multi-time scale fluctuation characteristics of the total load data, divide the load curve into multiple fluctuation types, and feed back the division results of each fluctuation type to the control platform in real time to form a dynamic load characteristic map. The fluctuation load weight matrix is ​​calculated by combining the historical data proportion of each fluctuation type load, the peak and valley characteristics and the equipment operation characteristics.

[0017] The total power output data is acquired in real time, and combined with the node load weight, the power output of each fluctuation type is dynamically allocated to form a fluctuating power output matrix. Through the predictive control algorithm, the power output and load fluctuation are accurately matched, and a three-level energy storage system of usage storage, alarm storage and stable storage is established to achieve real-time collaborative control through the bus of the control platform.

[0018] The load fluctuation characteristics, energy storage status and power output are visualized in three dimensions on the control platform. When it is detected that the load fluctuation exceeds the warning power line during a certain period of time, the system automatically triggers the early warning mechanism by calling stable storage, usage storage and alarm storage.

[0019] Reference Figure 2 As shown, the multiple fluctuation types formed based on the total load and divided by dynamic time periods specifically include: Taking each hour as a node, a day is divided into multiple local time periods, and the power consumption in the local time period is counted to obtain the local load power; Based on the local load power, the average value of the local load power is calculated and recorded as the standard load power; Arrange the data of local load power from small to large, select the first 10 data and the last 10 data of the row arrangement, and record them as influencing factors; Delete the influencing factors in the arrangement to form fluctuating row and column data; Based on multiple fluctuation row and column data, the average value of the fluctuation row and column data is calculated to obtain a low fluctuation threshold value; Add the low fluctuation threshold to the standard load power to get the medium load power; Multiply the medium load power by the proportion of the influencing factor in the total data to obtain the medium fluctuation threshold; Based on the local load power data, the local load powers in adjacent local time periods are subtracted to obtain multiple power differences; The adjacent local time periods with power difference less than the low fluctuation threshold are recorded as low fluctuation time groups, and the local time periods with larger local load power in the low fluctuation time groups are recorded as low fluctuation types; The adjacent local time periods with power difference between the low fluctuation threshold and the medium fluctuation threshold are recorded as the medium fluctuation time group, and the local time period with large local load power in the medium fluctuation time group is recorded as the medium fluctuation type; Adjacent local time periods with power differences higher than the medium fluctuation threshold are recorded as high fluctuation time groups, and local time periods with larger local load power within the high fluctuation time groups are recorded as high fluctuation types.

[0020] Using sliding window technology, with 1 hour as the basic time unit, the 24 hours of the day are divided into 24 local time periods. Each time period corresponds to an independent load data collection unit, and the power consumption data in the time period is collected and stored in real time through the edge computing node. The load data of each local time period is statistically analyzed, and the average power value of the time period is calculated as the standard load power. Then the load data of each time period is arranged in ascending order, and the first 10% and the last 10% of the data points are extracted as influencing factors. The average value can be calculated as the low fluctuation threshold, and the medium load power is obtained by superimposing the standard load power and the low fluctuation threshold. The medium fluctuation threshold is corrected according to the proportion of influencing factors, so that the power difference between adjacent time periods can be calculated, and classification is performed through the double threshold discrimination method. The system automatically updates the baseline value and fluctuation threshold of each time period every hour, and dynamically corrects the threshold parameters to ensure that the classification model can adapt to the seasonal changes and real-time fluctuations of load characteristics.

[0021] Reference Figure 3 As shown, the filtering of load data with the same fluctuation type as the fluctuating load specifically includes: The local load power data of the local time period of the low-fluctuation type is aggregated to form a low-fluctuation load, which is monitored by the control platform at a single time. The local load power data of the local time period of the medium fluctuation type is aggregated to form a medium fluctuation load, which is monitored multiple times by the control platform at regular intervals; The local load power data of the local time period of the high fluctuation type is aggregated to form a high fluctuation load, which is monitored by the control platform.

[0022] The control platform implements a three-level monitoring mechanism through the task scheduling system. When in a low-fluctuation load period, multiple scheduled monitoring is performed. When in a medium-fluctuation load period, multiple scheduled monitoring can be started and the demand-side response pre-configuration strategy can be activated simultaneously to perform multiple scheduled monitoring. Finally, when in a high-fluctuation load period, the energy storage system pre-charging instruction can be triggered for real-time monitoring.

[0023] Reference Figure 4 As shown, the calculation of the maximum load power line and the warning load power line based on the fluctuating load specifically includes: Based on all the data in the fluctuating load, the maximum value of the local load power in the fluctuation type is selected and recorded as the maximum load power; Connect the maximum load powers of each fluctuation type to form a maximum load power line; Based on multiple influencing factors, the average values ​​of the influencing factors are calculated to obtain the influencing average value; Calculate the ratio of the maximum load power to the total load power, which is recorded as the maximum load weight; Multiply the maximum load weight by the influence average value to obtain the influence fluctuation parameter; Multiply the maximum load power by the influencing fluctuation parameter to obtain the warning load power; Connect the warning load powers of each fluctuation type to form a warning load power line.

[0024] Scan each fluctuating load data set in real time, extract the local load power maximum of each fluctuation type, use the cubic spline interpolation algorithm to smooth the discrete extreme points, and generate a continuous maximum load power line. Based on historical data, an influencing factor database is established, and the influencing average value is calculated, so as to obtain the warning load power line according to the extreme influencing fluctuation parameter of the maximum load weight. Among them, the influencing fluctuation parameter is obtained by multiplying the maximum load weight and the average value of the influencing factor, which reflects the coupling relationship between the load fluctuation characteristics and the external influencing factors. The warning load power is determined by the product of the extreme load and the influencing fluctuation parameter, which comprehensively considers the amplification effect of the load extreme value and potential influencing factors.

[0025] The maximum load power line and the warning load power line are superimposed and displayed on the three-dimensional visualization interface of the control platform. When the real-time load curve touches the warning line, the system automatically triggers the second-level warning; when the maximum line is exceeded, the first-level emergency response is initiated.

[0026] Reference Figure 5 As shown, the combined control mechanism formed by using storage, alarm storage and stable storage specifically includes: Setting current transformers and voltage transformers in the use storage, alarm storage and stable storage, and connecting the current transformers and voltage transformers to the control platform; Based on current transformers, the internal power parameters of the usage storage, alarm storage and stable storage are monitored, and the monitoring results are fed back to the control platform; The control platform coordinates and controls the generation and load of power using storage, alarm storage and stable storage based on the detection results of the current transformer.

[0027] High-precision current transformers and voltage transformers are installed in the three major energy storage units, namely usage storage, alarm storage and stable storage. The transformers are connected to the edge computing nodes of the control platform through industrial Ethernet to form a distributed monitoring network. The voltage, current, power factor and other parameters of the energy storage system are collected in real time, and the parameters are transmitted to the control platform. The control platform dynamically adjusts the energy storage operation mode according to the real-time monitoring data, so that usage storage, alarm storage and stable storage can cooperate with each other and circulate to ensure stable power delivery.

[0028] Reference Figure 6 As shown, the control platform controls the generation and load of power using storage, alarm storage and stable storage based on the detection results of the current transformer, specifically including: When the stored power in the usage storage is lower than the maximum load power line, the control platform will turn on the alarm storage, so that the alarm storage enters the discharge state and shares the overall power load synchronously with the usage storage; The fluctuating load of the previous month is obtained through the control platform database and recorded as the preliminary data, and multiple preliminary data are fitted with respect to time to form a preliminary curve, and the horizontal axis of the preliminary curve is time; Combine the prepared data and its corresponding time into a coordinate point, where the horizontal coordinate of the coordinate point is time; Take the average of the preliminary data at the coordinate points above the preliminary curve and record it as the preset upper limit; Take the average of the preliminary data at the coordinate points below the preliminary curve and record it as the preset lower limit; When the alarm storage power reaches the preset upper limit, the control platform will open the stable storage, so that the power inside the alarm storage flows to the stable storage, so that the alarm storage power drops below the preset upper limit; When the alarm storage power is less than the preset lower limit, the control platform will turn on the stable storage, allowing the power inside the stable storage to flow to the alarm storage, so that the power inside the alarm storage reaches above the preset lower limit.

[0029] The control platform monitors the charge state of the storage in real time through the current transformer. When the real-time monitoring data is lower than the capacity threshold corresponding to the maximum load power line, the pre-start instruction of the alarm storage is triggered, and a parallel power supply is formed with the storage in use to jointly bear the high-fluctuation load. At the same time, it can autonomously obtain historical data, and combine historical data to provide reasonable control boundaries for the current energy storage status, thereby providing a data basis for setting alarm conditions for the alarm system.

[0030] Reference Figure 7 As shown, the joint control platform is associated with the control platform, and combined with the dynamic time period division to form a control platform dynamic alarm control system specifically includes: Based on the current transformers and voltage transformers set in the usage storage, alarm storage and stable storage, the actual power data in the usage storage, alarm storage and stable storage are obtained, and the actual power data is fed back to the control platform; Connect the sensors at the power detection points to the control platform to obtain real-time load data in the power system, and incorporate the real-time load data into the total load to achieve real-time update of the total load; The control platform can update the low fluctuation threshold and the medium fluctuation threshold in real time according to the real-time updated total load and the division rules, complete the calculation of the fluctuating load, the calculation of the maximum load power line and the calculation of the warning load power line, and feed back the update results to the control platform; The key sites in the power system are assumed to be nodes, and the nodes share the load data in the control platform through the communication network; Install an embedded server at the node, connect the server to the power detection equipment, and control it uniformly through the control platform; The control platform periodically obtains summary data from edge nodes to obtain the actual total load, actual fluctuation type, actual maximum load power line and actual warning load power line, and feeds them back to the control platform. The actual maximum load power line is a curve of the actual maximum load power fitting over time, and the actual warning load power line is a curve of the actual warning load power fitting over time. Based on the calculated maximum load power line, the calculated warning load power line, the actual maximum load power line and the actual warning load power line, it is determined whether the power output is in a normal state. If it is in a normal state, no output is made. If it is not in a normal state, it is fed back to the dynamic alarm control system of the control platform. The dynamic alarm control system monitors the power in real time.

[0031] First, the control platform obtains the load data in the power system and the power parameters of the energy storage equipment in real time, combines the dynamic time period division rules, updates the low fluctuation threshold and the medium fluctuation threshold in real time, and completes the calculation and update of the fluctuation load, the maximum load power line and the warning load power line. These update results will be fed back to the control platform to form the calculated maximum load power line and the calculated warning load power line. At the same time, the control platform regularly obtains summary data from the edge nodes to obtain the actual total load, the actual fluctuation type, the actual maximum load power line and the actual warning load power line, and feeds these data back to the control platform. The actual maximum load power line and the actual warning load power line are curves respectively fitted by the actual maximum load power and the actual warning load power about time. Next, the control platform judges the power output state based on the calculated maximum load power line, the calculated warning load power line, the actual maximum load power line and the actual warning load power line. The specific judgment method is: take the time corresponding to the real-time load power as the characteristic time, take the ordinate corresponding to the characteristic time in the warning power line as the first ordinate, and take the ordinate corresponding to the characteristic time in the maximum power line as the second ordinate. If the real-time load power is less than or equal to the first ordinate, the power output is judged to be in a normal state, and the control platform does not output; if the real-time load power is greater than the first ordinate but not greater than the second ordinate, the control platform will generate a secondary alarm, notify the operator to check the power usage of the detection point, and feedback the inspection results to the control platform; if the real-time load power is greater than the second ordinate, the control platform will generate a primary alarm, automatically open the alarm storage, so that the alarm storage and the use storage coordinate the load, and analyze and predict according to the inspection results fed back in the secondary alarm. Through this judgment method, the control platform can monitor the load status of the power system in real time to ensure the stability and reliability of power output.

[0032] Reference Figure 8 As shown, the dynamic alarm control system performs real-time monitoring of power, specifically including: Input the calculated maximum load power line and the actual maximum load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the maximum load power line and the actual maximum load power line, and record it as the maximum average value; The maximum average value is fitted with respect to time to form a maximum power line, where the horizontal coordinate of the maximum power line is time and the vertical coordinate is the maximum load power; Input the calculated warning load power line and the actual warning load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the warning load power line and the actual warning load power line, and record it as the warning average value; The warning average value is fitted with respect to time to form a warning power line, the horizontal axis of the warning power line is time, and the vertical axis is the warning load power; The time corresponding to the real-time load power is used as the characteristic time, the ordinate corresponding to the characteristic time in the warning power line is used as the first ordinate, and the ordinate corresponding to the characteristic time in the maximum power line is used as the second ordinate; If the real-time load power is greater than the first vertical coordinate but not more than the second vertical coordinate, the control platform will generate a secondary alarm, notify the operator to check the power usage of the detection point, and feedback the inspection results to the control platform. If the real-time load power is greater than the second vertical coordinate, the control platform will generate a first-level alarm, automatically open the alarm storage, so that the alarm storage and the use of storage coordinate the load, and perform analysis and prediction based on the inspection results fed back in the second-level alarm.

[0033] In the control platform, the dynamic alarm control system calculates the maximum load power line and the actual maximum load power line by inputting, and calculates the average value of the ordinates of the two at the same time point, which is recorded as the maximum average value. Subsequently, the control platform fits the maximum average value with respect to time to form a maximum power line, the horizontal coordinate of which is time, and the vertical coordinate is the maximum load power. In the same way, the control platform inputs the calculated warning load power line and the actual warning load power line, calculates the average value of the ordinates of the two at the same time point, which is recorded as the warning average value, and fits the warning average value with respect to time to form a warning power line, whose horizontal coordinate is time and the vertical coordinate is the warning load power. Next, the control platform takes the time corresponding to the real-time load power as the characteristic time, and takes the vertical coordinate corresponding to the characteristic time in the warning power line as the first vertical coordinate, and takes the vertical coordinate corresponding to the characteristic time in the maximum power line as the second vertical coordinate. In this way, the control platform can judge the load status of the power system in real time. If the real-time load power is greater than the first vertical coordinate but not more than the second vertical coordinate, the control platform will generate a secondary alarm, notify the operator to check the power usage of the detection point, and feedback the inspection results to the control platform for further analysis of the operation status of the power system. If the real-time load power is greater than the second vertical coordinate, the control platform will generate a first-level alarm and automatically turn on the alarm storage, so that the alarm storage and the use storage can work together to share the load pressure of the power system and ensure the stable operation of the system. At the same time, the control platform will conduct in-depth analysis and prediction based on the inspection results fed back in the second-level alarm, and optimize the load distribution of the power system and the regulation strategy of the energy storage equipment. Through this real-time monitoring and dynamic adjustment mechanism, the control platform can effectively respond to load fluctuations in the power system, ensure the stability and reliability of power output, and improve the utilization efficiency of energy storage equipment.

[0034] In summary, the advantages of the present invention are: through dynamic time period division, fluctuating load calculation, energy storage equipment classification control and other means, real-time monitoring and dynamic control of the power system load can be achieved, thereby improving the stability of the power system and the utilization rate of the energy storage equipment.

[0035] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for controlling energy storage equipment for load balancing of a power system, characterized in that: include: Based on the sensors at the power detection points, the power data of the load in the power system is obtained, recorded as the total load, and a control platform is built; Based on the total load, multiple fluctuation types are formed through dynamic time period division, and the load data with the same fluctuation type are selected as the fluctuating load, and the division process and fluctuation type are fed back to the control platform; Based on the total load and fluctuating load, calculate the proportion of each fluctuating load in the total load power, which is recorded as the fluctuating load weight; Based on the fluctuating load, calculate the maximum load power line and the warning load power line; Obtain the power data generated by the power supply in the power system, recorded as the total generated power; Based on the total output power, according to the node load power weight, the output power data within each fluctuation type is calculated and recorded as the fluctuating output power; The difference between the fluctuating power and the maximum load power in the corresponding time period is calculated to obtain the difference between the fluctuating power and the maximum load power, which is recorded as the total storage amount; Based on the fluctuating power output, the power storage system is divided into usage storage, alarm storage and stable storage, which form a joint control platform; The joint control platform is linked to the control platform, and combined with dynamic time period division to form a dynamic alarm control system for the control platform.

2. A method for controlling energy storage equipment for load balancing of a power system according to claim 1, characterized in that: The multiple fluctuation types formed based on the total load and divided by dynamic time periods specifically include: Taking each hour as a node, a day is divided into multiple local time periods, and the power consumption in the local time period is counted to obtain the local load power; Based on the local load power, the average value of the local load power is calculated and recorded as the standard load power; Arrange the data of local load power from small to large, select the first 10 data and the last 10 data of the row arrangement, and record them as influencing factors; Delete the influencing factors in the arrangement to form fluctuating row and column data; Based on multiple fluctuation row and column data, the average value of the fluctuation row and column data is calculated to obtain a low fluctuation threshold value; Add the low fluctuation threshold to the standard load power to get the medium load power; Multiply the medium load power by the proportion of the influencing factor in the total data to obtain the medium fluctuation threshold; Based on the local load power data, the local load powers in adjacent local time periods are subtracted to obtain multiple power differences; The adjacent local time periods with power difference less than the low fluctuation threshold are recorded as low fluctuation time groups, and the local time periods with larger local load power in the low fluctuation time groups are recorded as low fluctuation types; The adjacent local time periods with power difference between the low fluctuation threshold and the medium fluctuation threshold are recorded as the medium fluctuation time group, and the local time period with large local load power in the medium fluctuation time group is recorded as the medium fluctuation type; Adjacent local time periods with power differences higher than the medium fluctuation threshold are recorded as high fluctuation time groups, and local time periods with larger local load power within the high fluctuation time groups are recorded as high fluctuation types.

3. A method for controlling energy storage equipment for load balancing of a power system according to claim 2, characterized in that: The step of screening load data with the same fluctuation type and setting them as fluctuating loads specifically includes: The local load power data of the local time period of the low-fluctuation type is aggregated to form a low-fluctuation load, which is monitored by the control platform at a single time. The local load power data of the local time period of the medium fluctuation type is aggregated to form a medium fluctuation load, which is monitored multiple times by the control platform at regular intervals; The local load power data of the local time period of the high fluctuation type is aggregated to form a high fluctuation load, which is monitored by the control platform.

4. The energy storage device control method for load balancing of a power system according to claim 3, characterized in that: The calculation of the maximum load power line and the warning load power line based on the fluctuating load specifically includes: Based on all the data in the fluctuating load, the maximum value of the local load power in the fluctuation type is selected and recorded as the maximum load power; Connect the maximum load powers of each fluctuation type to form a maximum load power line; Based on multiple influencing factors, the average values ​​of the influencing factors are calculated to obtain the influencing average value; Calculate the ratio of the maximum load power to the total load power, which is recorded as the maximum load weight; Multiply the maximum load weight by the influence average value to obtain the influence fluctuation parameter; Multiply the maximum load power by the influencing fluctuation parameter to obtain the warning load power; Connect the warning load powers of each fluctuation type to form a warning load power line.

5. The energy storage device control method for load balancing of a power system according to claim 4, characterized in that: The combined control mechanism formed by using storage, alarm storage and stable storage specifically includes: Setting current transformers and voltage transformers in the use storage, alarm storage and stable storage, and connecting the current transformers and voltage transformers to the control platform; Based on current transformers, the internal power parameters of the usage storage, alarm storage and stable storage are monitored, and the monitoring results are fed back to the control platform; The control platform coordinates and controls the generation and load of power using storage, alarm storage and stable storage based on the detection results of the current transformer.

6. The energy storage device control method for load balancing of a power system according to claim 5, characterized in that: The control platform controls the generation and load of power for use storage, alarm storage and stable storage based on the detection results of the current transformer, specifically including: When the stored power in the usage storage is lower than the maximum load power line, the control platform will turn on the alarm storage, so that the alarm storage enters the discharge state and shares the overall power load synchronously with the usage storage; The fluctuating load of the previous month is obtained through the control platform database and recorded as the preliminary data, and multiple preliminary data are fitted with respect to time to form a preliminary curve, and the horizontal axis of the preliminary curve is time; Combine the prepared data and its corresponding time into a coordinate point, where the horizontal coordinate of the coordinate point is time; Take the average of the preliminary data at the coordinate points above the preliminary curve and record it as the preset upper limit; Take the average of the preliminary data at the coordinate points below the preliminary curve and record it as the preset lower limit; When the alarm storage power reaches the preset upper limit, the control platform will open the stable storage, so that the power inside the alarm storage flows to the stable storage, so that the alarm storage power drops below the preset upper limit; When the alarm storage power is less than the preset lower limit, the control platform will turn on the stable storage, allowing the power inside the stable storage to flow to the alarm storage, so that the power inside the alarm storage reaches above the preset lower limit.

7. The energy storage device control method for load balancing of a power system according to claim 6, characterized in that: The method of associating the joint control platform with the control platform and combining the dynamic time period division to form a dynamic alarm control system for the control platform specifically includes: Based on the current transformers and voltage transformers set in the usage storage, alarm storage and stable storage, the actual power data in the usage storage, alarm storage and stable storage are obtained, and the actual power data is fed back to the control platform; Connect the sensors at the power detection points to the control platform to obtain real-time load data in the power system, and incorporate the real-time load data into the total load to achieve real-time update of the total load; The control platform can update the low fluctuation threshold and the medium fluctuation threshold in real time according to the real-time updated total load and the division rules, complete the calculation of the fluctuating load, the calculation of the maximum load power line and the calculation of the warning load power line, and feed back the update results to the control platform; The key sites in the power system are assumed to be nodes, and the nodes share the load data in the control platform through the communication network; Install an embedded server at the node, connect the server to the power detection equipment, and control it uniformly through the control platform; The control platform periodically obtains summary data from edge nodes to obtain the actual total load, actual fluctuation type, actual maximum load power line and actual warning load power line, and feeds them back to the control platform. The actual maximum load power line is a curve of the actual maximum load power fitting over time, and the actual warning load power line is a curve of the actual warning load power fitting over time. Based on the calculated maximum load power line, the calculated warning load power line, the actual maximum load power line and the actual warning load power line, it is determined whether the power output is in a normal state. If it is in a normal state, no output is made. If it is not in a normal state, it is fed back to the dynamic alarm control system of the control platform. The dynamic alarm control system monitors the power in real time.

8. The energy storage device control method for load balancing of a power system according to claim 7, characterized in that: The dynamic alarm control system performs real-time monitoring of power, specifically including: Input the calculated maximum load power line and the actual maximum load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the maximum load power line and the actual maximum load power line, and record it as the maximum average value; The maximum average value is fitted with respect to time to form a maximum power line, where the horizontal coordinate of the maximum power line is time and the vertical coordinate is the maximum load power; Input the calculated warning load power line and the actual warning load power line into the control platform, calculate the average value of the ordinates of the points corresponding to the same time in the warning load power line and the actual warning load power line, and record it as the warning average value; The warning average value is fitted with respect to time to form a warning power line, the horizontal axis of the warning power line is time, and the vertical axis is the warning load power; The time corresponding to the real-time load power is used as the characteristic time, the ordinate corresponding to the characteristic time in the warning power line is used as the first ordinate, and the ordinate corresponding to the characteristic time in the maximum power line is used as the second ordinate; If the real-time load power is greater than the first vertical coordinate but not more than the second vertical coordinate, the control platform will generate a secondary alarm, notify the operator to check the power usage of the detection point, and feedback the inspection results to the control platform. If the real-time load power is greater than the second vertical coordinate, the control platform will generate a first-level alarm, automatically open the alarm storage, so that the alarm storage and the use of storage coordinate the load, and perform analysis and prediction based on the inspection results fed back in the second-level alarm.

Images