A method and system for optimizing management of industrial and commercial energy storage systems
By analyzing the power consumption data of energy storage batteries in industrial and commercial systems, obtaining the charging and discharging efficiency analysis results, building a charging and discharging switching interval, and managing the energy storage system in real time, the problem of insufficient monitoring of battery pack charging and discharging status in industrial and commercial electricity consumption scenarios is solved, and efficient charging and power supply is achieved.
Patent Information
- Application Number
- CN202510076497.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2045-01-17
AI Technical Summary
The prior art cannot effectively monitor the charging and discharge status of the battery pack in the frequently used industrial and commercial electric scenarios, resulting in the inability to meet the charging or power supply efficiency and the inability to effectively supply power.
By obtaining the electricity consumption data of energy storage batteries in industrial and commercial systems, analyzing and obtaining the charging and discharge efficiency period, conducting charging and discharge efficiency analysis, obtaining the charging and discharge impact interval and minimum limit, building a charging and discharge switching interval, and managing the energy storage system in real time to ensure that the charging and discharge switching is within the specified interval.
Effective monitoring of the charging and discharging status of the battery pack is achieved, ensuring that the charging and power supply efficiency meets the standards, and avoiding power supply problems caused by failure to meet the standards.
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Figure CN119518905B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy storage management, and in particular to an industrial and commercial energy storage system management optimization method and system. Background Art
[0002] Energy storage system is a part of the object or space range that is demarcated to determine the research object, including the input and output of energy and matter, energy conversion and storage equipment; energy storage system stores energy through media or equipment and releases it when needed. Common energy storage methods include batteries, inductors and capacitors; for example, battery energy storage system consists of batteries and parallel voltage converters, and has the ability to quickly adjust the power exchange between the AC system.
[0003] Existing methods for optimizing the management of energy storage systems are usually improvements in the monitoring efficiency of battery energy storage. By analyzing the environment in which the energy storage battery is located and the actual capacity of the energy storage battery, the self-discharge rate of the battery pack is predicted, thereby improving the detection efficiency of battery energy storage. Although this improvement method can solve the problem that the self-discharge efficiency of the battery pack cannot be understood when the battery pack is shelved for a long time, when the battery pack is used in a frequently used working scenario, such as an industrial and commercial power unit, if only the detection of the self-discharge efficiency of the battery pack is optimized, it will result in the battery pack frequently charging and discharging. The state between the charging and discharging of the battery pack cannot be effectively monitored, resulting in the self-discharge efficiency of the battery pack being within the normal range, but the charging efficiency or power supply efficiency cannot meet the standard, resulting in the problem that the power unit cannot be effectively powered. For example, in the patent application No. CN11631698 The patent application of 8A discloses a method for optimizing the management of an energy storage system based on the prediction of the self-discharge rate of a battery pack. This solution analyzes the influence of the storage environment temperature, storage environment humidity, and actual battery capacity on the self-discharge rate of the energy storage battery, so as to solve the technical problem of being able to know the current self-discharge rate of the battery pack at any time when the battery pack is not working for a long time. Other improvements in the management optimization of energy storage systems are usually improvements in the service life of the battery, which still cannot solve the problem that when the battery pack is used in frequently used working scenarios, such as industrial and commercial power users, the state between the charging and discharging of the battery pack cannot be effectively monitored, resulting in the self-discharge efficiency of the battery pack being within the normal range, but the charging efficiency or power supply efficiency cannot meet the standard, resulting in the problem that the power user cannot be effectively powered. In view of this, it is necessary to improve the existing management optimization method for energy storage systems. Summary of the invention
[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by proposing a method and system for optimizing the management of industrial and commercial energy storage systems, which is used to solve the problem in the existing management optimization methods for energy storage systems that when the battery pack is used in frequently used working scenarios, such as industrial and commercial power users, the state between the charging and discharging of the battery pack cannot be effectively monitored, resulting in the self-discharge efficiency of the battery pack being within the normal range, but the charging efficiency or power supply efficiency cannot meet the standards, resulting in the inability to effectively supply power to the power user.
[0005] To achieve the above objectives, in a first aspect, the present application provides an industrial and commercial energy storage system management optimization method, comprising the following steps:
[0006] Obtain the power consumption data of energy storage batteries in industrial and commercial systems, and obtain the efficient charging period, efficient discharging period, and balanced charging and discharging period based on the power consumption data;
[0007] Conduct charging efficiency analysis on industrial and commercial units in the high-efficiency charging period, and obtain the charging impact interval based on the analysis results; conduct discharge efficiency analysis on industrial and commercial units in the high-efficiency discharge period, and obtain the discharge impact interval, discharge minimum limit and discharge minimum limit based on the analysis results;
[0008] Analyze the charge-discharge balance period, and obtain the charge-discharge switching interval based on the analysis results, the charge influence interval, and the discharge influence interval; manage the energy storage system based on the charge-discharge switching interval, the minimum discharge limit, and the minimum discharge limit;
[0009] Analyze the charge and discharge balance period, and obtain the charge and discharge switching interval based on the analysis results, the charge influence interval and the discharge influence interval; manage the energy storage system based on the charge and discharge switching interval, the minimum discharge limit and the minimum discharge limit, including: record the full-day data ZY of the time period corresponding to the charge period or the discharge period in the charge and discharge balance period as the charge and discharge analysis data; record the industrial and commercial units recorded in the charge and discharge analysis data as the charge and discharge analysis units, obtain the low-limit electricity corresponding to all charge and discharge analysis units based on the discharge efficiency analysis, and when the low-limit electricity corresponding to all charge and discharge analysis units is greater than or equal to the discharge minimum limit, keep the discharge minimum limit unchanged; when the low-limit electricity corresponding to any charge and discharge analysis unit is less than the discharge minimum limit, record the minimum value of the low-limit electricity corresponding to all charge and discharge analysis units as the discharge minimum limit, and record the low-limit point corresponding to the discharge minimum limit at this time as the minimum limit point, and record the discharge influence ratio corresponding to the minimum limit point as the discharge change ratio;
[0010] Use interval construction algorithm to obtain the charge and discharge switching interval;
[0011] When managing the energy storage system, when switching between charge and discharge, the ratio of the charging rate and discharge rate of the battery energy storage system to the instantaneous power consumption of all industrial and commercial units is obtained in real time, and all ratios are controlled within the charge and discharge switching range; at the same time, the instantaneous minimum discharge amount of the battery energy storage system is kept greater than or equal to the minimum discharge limit, and the minimum total discharge amount for any industrial and commercial unit is greater than or equal to the minimum discharge limit, wherein the charge and discharge switching is the switching of the battery energy storage system from the charging state to the discharging state or from the discharging state to the charging state.
[0012] Furthermore, obtaining the power consumption data of the energy storage battery of the industrial and commercial system, and obtaining the high-efficiency charging period, the high-efficiency discharging period and the charge-discharge balance period based on the power consumption data includes:
[0013] Obtaining power consumption data of energy storage batteries for industrial and commercial systems, wherein the power consumption data is charging data and discharging data of energy storage batteries for industrial and commercial systems, the charging data includes charging time and charged power, and the discharging data includes discharging time and discharged power;
[0014] A plane rectangular coordinate system is established, which is recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis is power; the acquired power consumption data is divided into the power consumption data of the whole day, and recorded as the whole day data ZY1 to the whole day data ZY n , where the whole day is from 0:00 to 24:00 in a day.
[0015] Furthermore, obtaining the power consumption data of the energy storage battery of the industrial and commercial system, and obtaining the high-efficiency charging period, the high-efficiency discharging period, and the charge-discharge balance period based on the power consumption data also includes:
[0016] For any full day data ZY c , based on full day data ZY c The charging data in the power consumption analysis coordinate system is used to draw a corresponding curve, which is recorded as the charging curve; based on the full day data ZY c The discharge data in the graph is plotted in the power analysis coordinate system, which is recorded as the discharge curve;
[0017] For any point T (x1, y1) in the charging curve, when there is a point in the discharge curve with the horizontal coordinate equal to x1, point T is recorded as the charging and discharging point; the horizontal coordinate interval corresponding to the curve formed by all the charging points in the charging curve is recorded as the charging and discharging period; the horizontal coordinate corresponding to the curve in the charging curve that is not in the charging and discharging period is marked as the charging period; the horizontal coordinate corresponding to the curve in the discharge curve that is not in the charging and discharging period is marked as the discharging period.
[0018] Furthermore, obtaining the power consumption data of the energy storage battery of the industrial and commercial system, and obtaining the high-efficiency charging period, the high-efficiency discharging period, and the charge-discharge balance period based on the power consumption data also includes:
[0019] Obtain the charging and discharging time periods, charging time periods and discharging time periods corresponding to all the data ZY for the whole day; record the union of all the charging and discharging time periods, charging time periods and discharging time periods as the total charging and discharging time period, the total charging time period and the total discharging time period;
[0020] The total charge and discharge period, the total charging period and the total discharge period are placed on the same time axis, the time period that is only in the total charging period is recorded as the charging high-efficiency period, the time period that is only in the total discharge period is recorded as the discharge high-efficiency period, and the time period that is simultaneously in the total charge and discharge period, the total charging period and the total discharge period is recorded as the charge and discharge balanced period.
[0021] Furthermore, the charging efficiency of industrial and commercial units in the high-efficiency charging period is analyzed, and the charging impact interval is obtained based on the analysis results, including:
[0022] The full-day data ZY corresponding to the charging curve in the high-efficiency charging period is recorded as charging analysis data; the industrial and commercial units recorded in the charging analysis data are recorded as charging analysis units, and charging efficiency analysis is performed on the charging analysis units.
[0023] Further, the charging efficiency analysis is as follows: for any charging analysis unit, the charging rate of the energy storage battery and the real-time power consumption of the charging analysis unit when the charging analysis unit is in working time are obtained; for any second of the working time of the charging analysis unit, the ratio of the charging rate of the energy storage battery to the instantaneous power consumption of the charging analysis unit in the second is recorded as the charging impact ratio; the charging impact ratio corresponding to each second of the working time of the charging analysis unit is obtained, and the interval formed by all the charging impact ratios is recorded as the charging ratio interval;
[0024] The collection of charging ratio intervals corresponding to all charging analysis units is recorded as the charging influence interval.
[0025] Furthermore, the discharge efficiency of industrial and commercial units in the high-efficiency discharge period is analyzed, and the discharge impact interval, the minimum discharge limit and the minimum discharge limit are obtained based on the analysis results, including:
[0026] The whole day data ZY corresponding to the time period of the discharge curve in the high-efficiency discharge period is recorded as the discharge analysis data; the industrial and commercial units recorded by the discharge analysis data are recorded as discharge analysis units, and the discharge analysis units perform discharge efficiency analysis.
[0027] Further, the discharge efficiency analysis is as follows: for any discharge analysis unit, a plane rectangular coordinate system is established, which is recorded as the discharge analysis coordinate system, wherein the unit of the X-axis of the discharge analysis coordinate system is time, and the working time of the discharge analysis unit is marked in the X-axis; when the unit of the Y-axis is power consumption, a corresponding curve is drawn in the discharge analysis coordinate system based on the corresponding power consumption of the discharge analysis unit during the working time, and recorded as the discharge analysis curve; when the unit of the Y-axis is the discharge rate, a corresponding curve is drawn in the discharge analysis coordinate system based on the discharge rate of the energy storage battery during the working time of the discharge analysis unit, and recorded as the battery discharge curve;
[0028] For any time point A within the working time of the discharge analysis unit, the ratio of the ordinate corresponding to the point whose abscissa is time point A in the battery discharge curve to the ordinate corresponding to the point whose abscissa is time point A in the discharge analysis curve is recorded as the discharge influence ratio;
[0029] Obtain the discharge impact ratios of all time points within the working time of the discharge analysis unit, record the interval formed by all discharge impact ratios as the discharge ratio interval, record the time point corresponding to the minimum value of the discharge impact ratio as the low-limit point, and mark the vertical coordinate corresponding to the point whose horizontal coordinate is the low-limit point in the discharge analysis curve as the low-limit electricity; draw straight lines parallel to the Y axis from the leftmost point and the rightmost point of the discharge analysis curve, respectively, and record them as the left boundary line and the right boundary line; record the area between the left boundary line, the right boundary line, the discharge analysis curve and the X axis as the low-limit electricity;
[0030] Perform discharge efficiency analysis on all discharge analysis units, record the collection of all discharge ratio intervals as the discharge influence interval, record the minimum value of all low-limit electricity as the discharge minimum limit, and record the minimum value of all low-limit electricity as the discharge minimum limit.
[0031] Furthermore, the interval construction algorithm is , where when γ is max, F is the maximum value of the charge-discharge switching interval, and when γ is min, F is the minimum value of the charge-discharge switching interval; f min is the minimum value of the charging impact interval, f max is the maximum value of the charging impact interval, g min is the minimum value of the discharge influence interval, g max is the maximum value of the discharge influence interval, and f0 is the discharge change ratio.
[0032] In a second aspect, the present application also provides an industrial and commercial energy storage system management optimization system, including a power consumption period analysis module, a power consumption restriction analysis module, and an energy storage management optimization module;
[0033] The power consumption period analysis module is used to obtain the power consumption data of the energy storage battery of the industrial and commercial system, and obtain the charging efficient period, the discharging efficient period and the charging and discharging balanced period based on the power consumption data;
[0034] The power consumption restriction analysis module is used to analyze the charging efficiency of industrial and commercial units in the high-efficiency charging period, and obtain the charging impact interval based on the analysis results; analyze the discharge efficiency of industrial and commercial units in the high-efficiency discharging period, and obtain the discharge impact interval, the minimum discharge limit and the minimum discharge limit based on the analysis results;
[0035] The energy storage management optimization module is used to analyze the charge and discharge balance period, and obtain the charge and discharge switching interval based on the analysis results, the charging influence interval and the discharging influence interval; and manage the energy storage system based on the charge and discharge switching interval, the minimum discharge limit and the minimum discharge limit.
[0036] Beneficial effects of the present invention: The present application first obtains the power consumption data of the energy storage battery of the industrial and commercial system, and obtains the high-efficiency charging period, the high-efficiency discharging period and the charge-discharge balance period based on the power consumption data; performs charging efficiency analysis on the industrial and commercial units in the high-efficiency charging period, and obtains the charging influence interval based on the analysis result. The advantage of this is that by obtaining the high-efficiency charging period, the high-efficiency discharging period and the charge-discharge balance period, the different power consumption periods of the energy storage battery can be effectively divided, which helps to make the subsequent analysis and management of the energy storage battery more accurate and effective; at the same time, by analyzing the charging efficiency to obtain the charging influence interval, the relationship between the power consumption of the industrial and commercial units and the charging rate of the energy storage battery during the charging process of the energy storage battery can be obtained, which helps to provide data support for the subsequent analysis of the state between charging and discharging of the battery pack;
[0037] The present application also performs a discharge efficiency analysis on the industrial and commercial units in the high-efficiency discharge period, and obtains the discharge influence interval, the discharge minimum limit and the discharge minimum limit based on the analysis results; finally, the charge-discharge balance period is analyzed, and the charge-discharge switching interval is obtained based on the analysis results, the charge influence interval and the discharge influence interval; the energy storage system is managed based on the charge-discharge switching interval, the discharge minimum limit and the discharge minimum limit. The advantage of this is that by obtaining the discharge influence interval, the relationship between the power consumption of the industrial and commercial units and the discharge rate of the energy storage battery during the discharge of the energy storage battery can be obtained. At the same time, by obtaining the charge-discharge switching interval, the data corresponding to the normal state between the charging and discharging of the battery pack can be extracted, which is helpful to monitor the state between the charging and discharging of the battery pack when managing the energy storage system; by obtaining the discharge minimum limit and the discharge minimum limit, the problem of being unable to effectively supply power to the power-consuming unit due to the failure of the charging efficiency or the power supply efficiency to meet the standards during the charging and discharging process of the energy storage system can be prevented. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1 is a functional block diagram of the system of the present invention;
[0039] Figure 2 is a flow chart of the steps of the method of the present invention;
[0040] Figure 3 is a schematic diagram of the discharge analysis coordinate system of the present invention;
[0041] Figure 4 A schematic diagram of the power analysis coordinate system of the present invention;
[0042] Figure 5 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION
[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0044] Example 1, please refer to Figure 1 As shown, the present application provides an industrial and commercial energy storage system management optimization system, including a power consumption period analysis module, a power consumption restriction analysis module, and an energy storage management optimization module;
[0045] The power consumption period analysis module is used to obtain the power consumption data of the energy storage battery of the industrial and commercial system, and obtain the charging efficient period, the discharging efficient period and the charging and discharging balanced period based on the power consumption data;
[0046] The power consumption period analysis module includes a power consumption period analysis unit, and the power consumption period analysis unit is configured with a power consumption period analysis strategy. The power consumption period analysis strategy includes:
[0047] Obtaining power consumption data of energy storage batteries for industrial and commercial systems, wherein the power consumption data is charging data and discharging data of energy storage batteries for industrial and commercial systems, the charging data includes charging time and charged power, and the discharging data includes discharging time and discharged power;
[0048] In the specific implementation process, in this embodiment, the energy storage battery used for the industrial and commercial system can be specifically: such as the energy storage battery used to power all shops in the commercial street, the energy storage battery used to power all factory equipment in the factory, or the energy storage battery used to power all company shops in the office building; because the power consumption of the above-mentioned power-consuming units is usually high, the power supply and discharge of the energy storage battery will be more frequent, which is suitable for the improved method in this embodiment;
[0049] A plane rectangular coordinate system is established, which is recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis is power; the acquired power consumption data is divided into the power consumption data of the whole day, and recorded as the whole day data ZY1 to the whole day data ZY n , where the whole day is from 0:00 to 24:00 in one day;
[0050] For any full day data ZY c , based on full day data ZY c The charging data in the power consumption analysis coordinate system is used to draw a corresponding curve, which is recorded as the charging curve; based on the full day data ZY c The discharge data in the graph is plotted in the power analysis coordinate system, which is recorded as the discharge curve;
[0051] In the specific implementation process, for example, in a data processing, the power consumption analysis coordinate system is obtained as follows: Figure 4 As shown, curve CD is the charging curve, and curve FD is the discharging curve. By analysis, we can get: Figure 4 Point T in is the charging and discharging point, and the curve CD between the straight line CD1 and the straight line CD2 is the charging and discharging period; through analysis, it can be obtained that 0 to H1 is the charging period, H1 to H2 is the charging and discharging period, and H2 to 24 is the discharging period;
[0052] For any point T (x1, y1) in the charging curve, when there is a point with a horizontal coordinate equal to x1 in the discharge curve, point T is recorded as the charging and discharging point; the horizontal coordinate interval corresponding to the curve formed by all the charging points in the charging curve is recorded as the charging and discharging period; the horizontal coordinate corresponding to the curve in the charging curve that is not in the charging and discharging period is marked as the charging period; the horizontal coordinate corresponding to the curve in the discharge curve that is not in the charging and discharging period is marked as the discharging period;
[0053] Obtain the charging and discharging time periods, charging time periods and discharging time periods corresponding to all the data ZY for the whole day; record the union of all the charging and discharging time periods, charging time periods and discharging time periods as the total charging and discharging time period, the total charging time period and the total discharging time period;
[0054] The total charge and discharge period, the total charging period and the total discharge period are placed on the same time axis, the time period that is only in the total charging period is recorded as the charging high-efficiency period, the time period that is only in the total discharge period is recorded as the discharge high-efficiency period, and the time period that is in the total charge and discharge period, the total charging period and the total discharge period at the same time is recorded as the charge and discharge balanced period;
[0055] In the specific implementation process, by obtaining the high-efficiency charging period, the high-efficiency discharging period and the charging and discharging balanced period, the different power consumption periods of the energy storage battery can be effectively divided, which will help to make the subsequent analysis and management of the energy storage battery more accurate and effective.
[0056] The power consumption restriction analysis module is used to analyze the charging efficiency of industrial and commercial units in the high-efficiency charging period, and obtain the charging impact interval based on the analysis results; analyze the discharge efficiency of industrial and commercial units in the high-efficiency discharging period, and obtain the discharge impact interval, the minimum discharge limit and the minimum discharge limit based on the analysis results;
[0057] The power consumption restriction analysis module includes a power consumption restriction analysis unit, and the power consumption restriction analysis unit is configured with a power consumption restriction analysis strategy, and the power consumption restriction analysis strategy includes: recording the whole day data ZY in the time period corresponding to the charging curve in the charging high efficiency period as charging analysis data; recording the industrial and commercial units recorded in the charging analysis data as charging analysis units, and performing charging efficiency analysis on the charging analysis units;
[0058] The charging efficiency analysis is as follows: for any charging analysis unit, the charging rate of the energy storage battery and the real-time power consumption of the charging analysis unit when the charging analysis unit is in working time are obtained; for any second of the working time of the charging analysis unit, the ratio of the charging rate of the energy storage battery to the instantaneous power consumption of the charging analysis unit in that second is recorded as the charging impact ratio; the charging impact ratio corresponding to each second of the working time of the charging analysis unit is obtained, and the interval formed by all the charging impact ratios is recorded as the charging ratio interval;
[0059] In the specific implementation process, for example, for any second α of the working time of the charging analysis unit, the charging rate of the energy storage battery within second α is 1C, and the instantaneous power consumption of the charging analysis unit within second α is 10kw; in the calculation of this embodiment, the instantaneous power consumption of the charging analysis unit is used for calculation. The value is uniformly switched to kw for calculation. For example, when the charging rate is 1C and the instantaneous power consumption is 10kw, the charging influence ratio during calculation is 1 to 10, that is, 0.1; by obtaining the charging influence ratio and then obtaining the charging ratio interval, the relationship between the power consumption of the industrial and commercial units and the charging rate of the energy storage battery during the charging process of the energy storage battery can be obtained, which is helpful for providing data support for the subsequent analysis of the state between charging and discharging of the battery pack;
[0060] The collection of charging ratio intervals corresponding to all charging analysis units is recorded as the charging influence interval.
[0061] The whole day data ZY of the time period corresponding to the discharge curve in the high-efficiency discharge period is recorded as the discharge analysis data; the industrial and commercial units recorded by the discharge analysis data are recorded as the discharge analysis units, and the discharge analysis units perform discharge efficiency analysis;
[0062] The discharge efficiency analysis is as follows: for any discharge analysis unit, a plane rectangular coordinate system is established, which is recorded as the discharge analysis coordinate system, wherein the unit of the X-axis of the discharge analysis coordinate system is time, and the working time of the discharge analysis unit is marked on the X-axis; when the unit of the Y-axis is power consumption, a corresponding curve is drawn in the discharge analysis coordinate system based on the corresponding power consumption of the discharge analysis unit during the working time, and recorded as the discharge analysis curve; when the unit of the Y-axis is the discharge rate, a corresponding curve is drawn in the discharge analysis coordinate system based on the discharge rate of the energy storage battery during the working time of the discharge analysis unit, and recorded as the battery discharge curve;
[0063] In the specific implementation process, for example, during a data processing, the discharge analysis coordinate system is obtained as follows: Figure 3 As shown, curve DF is the battery discharge curve, and curve FQ is the discharge analysis curve; then for ZZ1 and ZZ2 corresponding to time point A, the value of ZZ2 divided by ZZ1 is recorded as the discharge influence ratio;
[0064] For any time point A within the working time of the discharge analysis unit, the ratio of the ordinate corresponding to the point whose abscissa is time point A in the battery discharge curve to the ordinate corresponding to the point whose abscissa is time point A in the discharge analysis curve is recorded as the discharge influence ratio;
[0065] Obtain the discharge impact ratios of all time points within the working time of the discharge analysis unit, record the interval formed by all discharge impact ratios as the discharge ratio interval, record the time point corresponding to the minimum value of the discharge impact ratio as the low-limit point, and mark the vertical coordinate corresponding to the point whose horizontal coordinate is the low-limit point in the discharge analysis curve as the low-limit electricity; draw straight lines parallel to the Y axis from the leftmost point and the rightmost point of the discharge analysis curve, respectively, and record them as the left boundary line and the right boundary line; record the area between the left boundary line, the right boundary line, the discharge analysis curve and the X axis as the low-limit electricity;
[0066] In the specific implementation process, by obtaining the discharge impact ratio and then obtaining the discharge ratio interval, the relationship between the power consumption of industrial and commercial units and the charging rate of the energy storage battery during the discharge of the energy storage battery can be obtained, which is helpful for providing data support for the subsequent analysis of the state between the charging and discharging of the battery pack. At the same time, the low-limit power and the low-limit power are obtained, and the minimum instantaneous power supply and the minimum total power supply can be obtained when powering the industrial and commercial units, so as to prevent the actual operation of the industrial and commercial units from being affected due to the small power supply during the power supply period.
[0067] Perform discharge efficiency analysis on all discharge analysis units, record the collection of all discharge ratio intervals as the discharge influence interval, record the minimum value of all low-limit electricity as the discharge minimum limit, and record the minimum value of all low-limit electricity as the discharge minimum limit.
[0068] The energy storage management optimization module is used to analyze the charge-discharge balance period, and obtain the charge-discharge switching interval based on the analysis results, the charge influence interval and the discharge influence interval; manage the energy storage system based on the charge-discharge switching interval, the minimum discharge limit and the minimum discharge limit;
[0069] The energy storage management optimization module includes an energy storage management optimization unit, which is configured with an energy storage management optimization strategy. The energy storage management optimization strategy includes: recording the full-day data ZY in the time period corresponding to the charging period or the discharging period in the charging and discharging balance period as the charging and discharging analysis data; recording the industrial and commercial units recorded in the charging and discharging analysis data as the charging and discharging analysis units, and obtaining the low-limit electricity corresponding to all the charging and discharging analysis units based on the discharge efficiency analysis. When the low-limit electricity corresponding to all the charging and discharging analysis units is greater than or equal to the minimum discharge limit, the minimum discharge limit is kept unchanged;
[0070] When the low-limit electricity quantity corresponding to any charge-discharge analysis unit is less than the minimum discharge limit, the minimum value of the low-limit electricity quantities corresponding to all charge-discharge analysis units is recorded as the minimum discharge limit, and the low-limit point corresponding to the minimum discharge limit at this time is recorded as the minimum limit point, and the discharge impact ratio corresponding to the minimum limit point is recorded as the discharge change ratio;
[0071] In the specific implementation process, for example, during a data processing, the minimum value of the low-limit electricity corresponding to all charge and discharge analysis units is 200 degrees, and the minimum discharge limit is 210 degrees. Then 200 degrees is recorded as the minimum discharge limit, and the low limit point corresponding to 200 degrees is recorded as the minimum limit point. At this time, the discharge influence ratio corresponding to the minimum limit point is 0.5; then 0.5 is set as the discharge change ratio;
[0072] Use the interval construction algorithm to obtain the charge and discharge switching interval. The interval construction algorithm is: , where when γ is max, F is the maximum value of the charge-discharge switching interval, and when γ is min, F is the minimum value of the charge-discharge switching interval; f min is the minimum value of the charging impact interval, f max is the maximum value of the charging impact interval, g min is the minimum value of the discharge influence interval, g max is the maximum value of the discharge influence interval, f0 is the discharge change ratio;
[0073] In the specific implementation process, for example, in a data processing, the charging influence interval is [0.01, 0.5], the discharging influence interval is [0.2, 0.8], and the discharge change ratio is 0.5; then, by calculation, the charging and discharging switching interval is [-0.395, 0.15]; by obtaining the charging and discharging switching interval, the data corresponding to the normal state between charging and discharging of the battery pack can be extracted, which is helpful for monitoring the state between charging and discharging of the battery pack when managing the energy storage system, so as to prevent the problem of being unable to effectively supply power to the power user due to the failure of the charging efficiency or power supply efficiency to meet the standard during the charging and discharging process of the energy storage system;
[0074] When managing the energy storage system, when switching between charge and discharge, the ratio of the charging rate and discharge rate of the battery energy storage system to the instantaneous power consumption of all industrial and commercial units is obtained in real time, and all ratios are controlled within the charge and discharge switching range; at the same time, the instantaneous minimum discharge amount of the battery energy storage system is kept greater than or equal to the minimum discharge limit, and the minimum total discharge amount for any industrial and commercial unit is greater than or equal to the minimum discharge limit, wherein the charge and discharge switching is the switching of the battery energy storage system from the charging state to the discharging state or from the discharging state to the charging state.
[0075] Example 2, please refer to Figure 2 As shown, the present application also provides an industrial and commercial energy storage system management optimization method, comprising the following steps:
[0076] Step S1, obtaining power consumption data of energy storage batteries of industrial and commercial systems, and obtaining charging high-efficiency time periods, discharging high-efficiency time periods, and charging and discharging balanced time periods based on the power consumption data;
[0077] Step S1 includes: Step S101, obtaining power consumption data of the energy storage battery of the industrial and commercial system, wherein the power consumption data is charging data and discharging data of the energy storage battery used for the industrial and commercial system, the charging data includes charging time and charged power, and the discharging data includes discharging time and discharged power;
[0078] Step S102, establish a plane rectangular coordinate system, recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis is power; divide the acquired power consumption data into full-day power consumption data, and record them as full-day data ZY1 to full-day data ZY n , where the whole day is from 0:00 to 24:00 in one day;
[0079] Step S103, for any full day data ZY c , based on full day data ZY c The charging data in the power consumption analysis coordinate system is used to draw a corresponding curve, which is recorded as the charging curve; based on the full day data ZY cThe discharge data in the graph is plotted in the power analysis coordinate system, which is recorded as the discharge curve;
[0080] Step S104, for any point T (x1, y1) in the charging curve, when there is a point with a horizontal coordinate equal to x1 in the discharge curve, the point T is recorded as the charging and discharging point; the horizontal coordinate interval corresponding to the curve formed by all the charging points in the charging curve is recorded as the charging and discharging period; the horizontal coordinate corresponding to the curve in the charging curve that is not in the charging and discharging period is marked as the charging period; the horizontal coordinate corresponding to the curve in the discharge curve that is not in the charging and discharging period is marked as the discharging period;
[0081] Step S105, obtaining the charge-discharge period, charging period and discharging period corresponding to all the data ZY for the whole day; recording the union of all the charge-discharge period, charging period and discharging period as the total charge-discharge period, the total charging period and the total discharging period;
[0082] Step S106, the total charge and discharge period, the total charging period and the total discharging period are placed on the same time axis, the time period that is only in the total charging period is recorded as the charging high-efficiency period, the time period that is only in the total discharging period is recorded as the discharging high-efficiency period, and the time period that is simultaneously in the total charge and discharge period, the total charging period and the total discharging period is recorded as the charge and discharge balanced period.
[0083] Step S2, performing charging efficiency analysis on the industrial and commercial units in the charging high-efficiency period, and obtaining the charging influence interval based on the analysis results; performing discharging efficiency analysis on the industrial and commercial units in the discharging high-efficiency period, and obtaining the discharging influence interval, the discharging minimum limit, and the discharging minimum limit based on the analysis results;
[0084] Step S2 includes: step S201, recording the whole day data ZY of the time period corresponding to the charging curve in the charging high efficiency period as charging analysis data; recording the industrial and commercial units recorded in the charging analysis data as charging analysis units, and performing charging efficiency analysis on the charging analysis units;
[0085] The charging efficiency analysis is as follows: Step S2011, for any charging analysis unit, the charging rate of the energy storage battery when the charging analysis unit is in working time and the real-time power consumption of the charging analysis unit when the charging analysis unit is in working time are obtained; for any second of the working time of the charging analysis unit, the ratio of the charging rate of the energy storage battery to the instantaneous power consumption of the charging analysis unit in the second is recorded as the charging impact ratio; the charging impact ratio corresponding to each second in the working time of the charging analysis unit is obtained, and the interval formed by all the charging impact ratios is recorded as the charging ratio interval;
[0086] Step S2012: Record the collection of charging ratio intervals corresponding to all charging analysis units as a charging impact interval.
[0087] Step S2 also includes: step S203, recording the whole day data ZY in the time period corresponding to the discharge curve in the high-efficiency discharge period as discharge analysis data; recording the industrial and commercial units recorded in the discharge analysis data as discharge analysis units, and the discharge analysis units perform discharge efficiency analysis;
[0088] The discharge efficiency analysis is as follows: Step S2031, for any discharge analysis unit, a plane rectangular coordinate system is established, which is recorded as the discharge analysis coordinate system, wherein the unit of the X-axis of the discharge analysis coordinate system is time, and the working time of the discharge analysis unit is marked in the X-axis; when the unit of the Y-axis is power consumption, a corresponding curve is drawn in the discharge analysis coordinate system based on the corresponding power consumption of the discharge analysis unit during the working time, and recorded as the discharge analysis curve; when the unit of the Y-axis is the discharge rate, a corresponding curve is drawn in the discharge analysis coordinate system based on the discharge rate of the energy storage battery during the working time of the discharge analysis unit, and recorded as the battery discharge curve;
[0089] Step S2032, for any time point A within the working time of the discharge analysis unit, the ratio of the ordinate corresponding to the point whose abscissa is time point A in the battery discharge curve to the ordinate corresponding to the point whose abscissa is time point A in the discharge analysis curve is recorded as the discharge influence ratio;
[0090] Step S2033, obtaining the discharge influence ratios of all time points within the working time of the discharge analysis unit, recording the interval formed by all the discharge influence ratios as the discharge ratio interval, recording the time point corresponding to the minimum value of the discharge influence ratio as the low limit point, and marking the vertical coordinate corresponding to the point whose horizontal coordinate is the low limit point in the discharge analysis curve as the low limit electricity; drawing straight lines parallel to the Y axis from the leftmost point and the rightmost point of the discharge analysis curve, respectively, and recording them as the left boundary line and the right boundary line; recording the area between the left boundary line, the right boundary line, the discharge analysis curve and the X axis as the low limit electricity;
[0091] Step S2034, performing discharge efficiency analysis on all discharge analysis units, and recording the collection of all discharge ratio intervals as the discharge influence interval, recording the minimum value of all low-limit electricity as the discharge minimum limit; recording the minimum value of all low-limit electricity as the discharge minimum limit.
[0092] Step S3, analyzing the charge-discharge balance period, and obtaining the charge-discharge switching interval based on the analysis result, the charge influence interval, and the discharge influence interval; managing the energy storage system based on the charge-discharge switching interval, the discharge minimum limit, and the discharge minimum limit;
[0093] Step S3 includes: step S301, recording the whole day data ZY of the time period corresponding to the charging period or the discharging period in the charging and discharging balance period as the charging and discharging analysis data; recording the industrial and commercial units recorded in the charging and discharging analysis data as the charging and discharging analysis units, obtaining the low-limit electricity corresponding to all the charging and discharging analysis units based on the discharge efficiency analysis, and when the low-limit electricity corresponding to all the charging and discharging analysis units is greater than or equal to the minimum discharge limit, keeping the minimum discharge limit unchanged; when the low-limit electricity corresponding to any one of the charging and discharging analysis units is less than the minimum discharge limit, recording the minimum value of the low-limit electricity corresponding to all the charging and discharging analysis units as the minimum discharge limit, and recording the low-limit point corresponding to the minimum discharge limit at this time as the minimum limit point, and recording the discharge influence ratio corresponding to the minimum limit point as the discharge change ratio;
[0094] Step S302, using an interval construction algorithm to obtain a charge-discharge switching interval, the interval construction algorithm is , where when γ is max, F is the maximum value of the charge-discharge switching interval, and when γ is min, F is the minimum value of the charge-discharge switching interval; f min is the minimum value of the charging influence interval, f max is the maximum value of the charging impact interval, g min is the minimum value of the discharge influence interval, g max is the maximum value of the discharge influence interval, f0 is the discharge change ratio;
[0095] Step S303, when managing the energy storage system, when performing charge and discharge switching, the ratio of the charging rate and discharge rate of the battery energy storage system to the instantaneous power consumption of all industrial and commercial units is obtained in real time, and all ratios are controlled within the charge and discharge switching interval; at the same time, the instantaneous minimum discharge amount of the battery energy storage system is kept greater than or equal to the minimum discharge limit, and the minimum total discharge amount of any industrial and commercial unit is greater than or equal to the minimum discharge limit, wherein the charge and discharge switching is the battery energy storage system switching from the charging state to the discharging state or from the discharging state to the charging state.
[0096] Example 3, please refer to Figure 5 As shown, Figure 5The structural schematic diagram of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor may call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in an industrial and commercial energy storage system management optimization method are executed to achieve the following functions: first, the power consumption data of the energy storage battery of the industrial and commercial system is obtained, and the charging high-efficiency period, the discharging high-efficiency period and the charging and discharging balance period are obtained based on the power consumption data; the charging efficiency of the industrial and commercial units in the charging high-efficiency period is analyzed, and the charging influence interval is obtained based on the analysis results; the discharge efficiency of the industrial and commercial units in the discharging high-efficiency period is analyzed, and the discharge influence interval, the discharge minimum limit and the discharge minimum limit are obtained based on the analysis results; finally, the charge-discharge balance period is analyzed, and the charge-discharge switching interval is obtained based on the analysis results, the charge-discharge switching interval and the discharge minimum limit; the energy storage system is managed based on the charge-discharge switching interval, the discharge minimum limit and the discharge minimum limit.
[0097] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.
[0098] Embodiment 4, the present application also provides a computer-readable storage medium, the present application provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above industrial and commercial energy storage system management optimization method are executed to achieve the following functions: first, the power consumption data of the energy storage battery of the industrial and commercial system is obtained, and based on the power consumption data, the charging high-efficiency period, the discharging high-efficiency period and the charging and discharging balance period are obtained; the charging efficiency of the industrial and commercial units in the charging high-efficiency period is analyzed, and the charging influence interval is obtained based on the analysis results, and the discharge efficiency of the industrial and commercial units in the discharging high-efficiency period is analyzed, and the discharge influence interval, the discharge minimum limit and the discharge minimum limit are obtained based on the analysis results; finally, the charge and discharge balance period is analyzed, and the charge and discharge switching interval is obtained based on the analysis results, the charge influence interval and the discharge influence interval; the energy storage system is managed based on the charge and discharge switching interval, the discharge minimum limit and the discharge minimum limit.
[0099] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.
[0100] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.
[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for optimizing the management of industrial and commercial energy storage systems, characterized in that: The steps include: Obtain the power consumption data of energy storage batteries in industrial and commercial systems, and obtain the efficient charging period, efficient discharging period, and balanced charging and discharging period based on the power consumption data; Conduct charging efficiency analysis on industrial and commercial units in high-efficiency charging periods, and obtain charging impact intervals based on the analysis results; Conduct discharge efficiency analysis on industrial and commercial units in the high-efficiency discharge period, and obtain the discharge impact interval, discharge minimum limit and discharge minimum limit based on the analysis results; Analyze the charge-discharge balance period, and obtain the charge-discharge switching interval based on the analysis result, the charge influence interval and the discharge influence interval; Manage the energy storage system based on the charge and discharge switching interval, the minimum discharge limit and the minimum discharge limit; Analyze the charge-discharge balance period, and obtain the charge-discharge switching interval based on the analysis result, the charge influence interval and the discharge influence interval; The management of the energy storage system based on the charge-discharge switching interval, the minimum discharge limit and the minimum discharge limit includes: recording the full-day data ZY of the time period corresponding to the charging period or the discharging period in the charge-discharge balance period as the charge-discharge analysis data; recording the industrial and commercial units recorded in the charge-discharge analysis data as the charge-discharge analysis units, obtaining the low-limit electricity corresponding to all charge-discharge analysis units based on the discharge efficiency analysis, and when the low-limit electricity corresponding to all charge-discharge analysis units is greater than or equal to the discharge minimum limit, keeping the discharge minimum limit unchanged; when the low-limit electricity corresponding to any charge-discharge analysis unit is less than the discharge minimum limit, recording the minimum value of the low-limit electricity corresponding to all charge-discharge analysis units as the discharge minimum limit, and recording the low-limit point corresponding to the discharge minimum limit at this time as the minimum limit point, and recording the discharge impact ratio corresponding to the minimum limit point as the discharge change ratio; Use interval construction algorithm to obtain the charge and discharge switching interval; When managing the energy storage system, when switching between charge and discharge, the ratio of the charging rate and discharge rate of the battery energy storage system to the instantaneous power consumption of all industrial and commercial units is obtained in real time, and all ratios are controlled within the charge and discharge switching range; at the same time, the instantaneous minimum discharge amount of the battery energy storage system is kept greater than or equal to the minimum discharge limit, and the minimum total discharge amount for any industrial and commercial unit is greater than or equal to the minimum discharge limit, wherein the charge and discharge switching is the switching of the battery energy storage system from the charging state to the discharging state or from the discharging state to the charging state.
2. The method for optimizing the management of an industrial and commercial energy storage system according to claim 1, characterized in that: Obtain the power consumption data of energy storage batteries in industrial and commercial systems, and obtain the efficient charging period, efficient discharging period, and balanced charging and discharging period based on the power consumption data, including: Obtaining power consumption data of energy storage batteries for industrial and commercial systems, wherein the power consumption data is charging data and discharging data of energy storage batteries for industrial and commercial systems, the charging data includes charging time and charged power, and the discharging data includes discharging time and discharged power; A plane rectangular coordinate system is established, which is recorded as the power consumption analysis coordinate system, wherein the unit of the X-axis of the power consumption analysis coordinate system is time, and the unit of the Y-axis is power; the acquired power consumption data is divided into the power consumption data of the whole day, and recorded as the whole day data ZY1 to the whole day data ZY n , where the whole day is from 0:00 to 24:00 in a day.
3. The method for optimizing the management of an industrial and commercial energy storage system according to claim 2, characterized in that: Obtaining the power consumption data of the energy storage battery of the industrial and commercial system, and obtaining the efficient charging period, the efficient discharging period and the charge-discharge balance period based on the power consumption data also includes: For any full day data ZY c , based on full day data ZY c The charging data in the power consumption analysis coordinate system is used to draw a corresponding curve, which is recorded as the charging curve; based on the full day data ZY c The discharge data in the graph is plotted in the power analysis coordinate system, which is recorded as the discharge curve; For any point T (x1, y1) in the charging curve, when there is a point in the discharge curve with the horizontal coordinate equal to x1, point T is recorded as the charging and discharging point; the horizontal coordinate interval corresponding to the curve formed by all the charging points in the charging curve is recorded as the charging and discharging period; the horizontal coordinate corresponding to the curve in the charging curve that is not in the charging and discharging period is marked as the charging period; the horizontal coordinate corresponding to the curve in the discharge curve that is not in the charging and discharging period is marked as the discharging period.
4. The method for optimizing the management of an industrial and commercial energy storage system according to claim 3, characterized in that: Obtaining the power consumption data of the energy storage battery of the industrial and commercial system, and obtaining the efficient charging period, the efficient discharging period and the charge-discharge balance period based on the power consumption data also includes: Obtain the charging and discharging time periods, charging time periods and discharging time periods corresponding to all the data ZY for the whole day; record the union of all the charging and discharging time periods, charging time periods and discharging time periods as the total charging and discharging time period, the total charging time period and the total discharging time period; The total charge and discharge period, the total charging period and the total discharge period are placed on the same time axis, the time period that is only in the total charging period is recorded as the charging high-efficiency period, the time period that is only in the total discharge period is recorded as the discharge high-efficiency period, and the time period that is simultaneously in the total charge and discharge period, the total charging period and the total discharge period is recorded as the charge and discharge balanced period.
5. The method for optimizing the management of industrial and commercial energy storage systems according to claim 4, characterized in that: The charging efficiency of industrial and commercial units in the high-efficiency charging period is analyzed, and the charging impact interval is obtained based on the analysis results, including: The full-day data ZY corresponding to the charging curve in the high-efficiency charging period is recorded as charging analysis data; the industrial and commercial units recorded in the charging analysis data are recorded as charging analysis units, and charging efficiency analysis is performed on the charging analysis units.
6. The method for optimizing the management of industrial and commercial energy storage systems according to claim 5, characterized in that: The charging efficiency analysis is as follows: for any charging analysis unit, the charging rate of the energy storage battery and the real-time power consumption of the charging analysis unit when the charging analysis unit is in working time are obtained; for any second of the working time of the charging analysis unit, the ratio of the charging rate of the energy storage battery to the instantaneous power consumption of the charging analysis unit in that second is recorded as the charging impact ratio; the charging impact ratio corresponding to each second of the working time of the charging analysis unit is obtained, and the interval formed by all the charging impact ratios is recorded as the charging ratio interval; The collection of charging ratio intervals corresponding to all charging analysis units is recorded as the charging influence interval.
7. The method for optimizing the management of an industrial and commercial energy storage system according to claim 6, characterized in that: Conduct discharge efficiency analysis on industrial and commercial units in the high-efficiency discharge period, and obtain the discharge impact range, discharge minimum limit and discharge minimum limit based on the analysis results, including: The whole day data ZY corresponding to the time period of the discharge curve in the high-efficiency discharge period is recorded as the discharge analysis data; the industrial and commercial units recorded by the discharge analysis data are recorded as discharge analysis units, and the discharge analysis units perform discharge efficiency analysis.
8. The method for optimizing the management of industrial and commercial energy storage systems according to claim 7, characterized in that: The discharge efficiency analysis is as follows: for any discharge analysis unit, a plane rectangular coordinate system is established, which is recorded as the discharge analysis coordinate system, wherein the unit of the X-axis of the discharge analysis coordinate system is time, and the working time of the discharge analysis unit is marked on the X-axis; when the unit of the Y-axis is power consumption, a corresponding curve is drawn in the discharge analysis coordinate system based on the corresponding power consumption of the discharge analysis unit during the working time, and recorded as the discharge analysis curve; when the unit of the Y-axis is the discharge rate, a corresponding curve is drawn in the discharge analysis coordinate system based on the discharge rate of the energy storage battery during the working time of the discharge analysis unit, and recorded as the battery discharge curve; For any time point A within the working time of the discharge analysis unit, the ratio of the ordinate corresponding to the point whose abscissa is time point A in the battery discharge curve to the ordinate corresponding to the point whose abscissa is time point A in the discharge analysis curve is recorded as the discharge influence ratio; Obtain the discharge impact ratios of all time points within the working time of the discharge analysis unit, record the interval formed by all discharge impact ratios as the discharge ratio interval, record the time point corresponding to the minimum value of the discharge impact ratio as the low-limit point, and mark the vertical coordinate corresponding to the point whose horizontal coordinate is the low-limit point in the discharge analysis curve as the low-limit electricity; draw straight lines parallel to the Y axis from the leftmost point and the rightmost point of the discharge analysis curve, respectively, and record them as the left boundary line and the right boundary line; record the area between the left boundary line, the right boundary line, the discharge analysis curve and the X axis as the low-limit electricity; Perform discharge efficiency analysis on all discharge analysis units, record the collection of all discharge ratio intervals as the discharge influence interval, record the minimum value of all low-limit electricity as the discharge minimum limit, and record the minimum value of all low-limit electricity as the discharge minimum limit.
9. The method for optimizing the management of an industrial and commercial energy storage system according to claim 8, characterized in that: The interval construction algorithm is , where when γ is max, F is the maximum value of the charge-discharge switching interval, and when γ is min, F is the minimum value of the charge-discharge switching interval; f min is the minimum value of the charging influence interval, f max is the maximum value of the charging impact interval, g min is the minimum value of the discharge influence interval, g max is the maximum value of the discharge influence interval, and f0 is the discharge change ratio.
10. An industrial and commercial energy storage system management optimization system, used to implement an industrial and commercial energy storage system management optimization method according to any one of claims 1 to 9, characterized in that: It includes power consumption period analysis module, power consumption restriction analysis module and energy storage management optimization module; The power consumption period analysis module is used to obtain the power consumption data of the energy storage battery of the industrial and commercial system, and obtain the charging efficient period, the discharging efficient period and the charging and discharging balanced period based on the power consumption data; The power consumption restriction analysis module is used to analyze the charging efficiency of industrial and commercial units in the high-efficiency charging period, and obtain the charging impact interval based on the analysis results; Conduct discharge efficiency analysis on industrial and commercial units in the high-efficiency discharge period, and obtain the discharge impact interval, discharge minimum limit and discharge minimum limit based on the analysis results; The energy storage management optimization module is used to analyze the charge and discharge balance period, and obtain the charge and discharge switching interval based on the analysis results, the charging influence interval and the discharging influence interval; and manage the energy storage system based on the charge and discharge switching interval, the minimum discharge limit and the minimum discharge limit.
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