Energy storage management system of photovoltaic power station

Abstract

The invention discloses an energy storage management system of a photovoltaic power station, relates to the technical field of energy storage management, and solves the technical problems that energy storage optimization analysis of different time periods cannot be performed according to data of the power station, and the overall energy storage efficiency is further affected. Generating a generating capacity interval and a power consumption interval, calculating a time interval judgment value, accurately marking a unit time period as a peak period or a valley period, calculating a discharge power level in the peak period in combination with the change of power grid frequency and voltage and a real-time power grid load, and performing discharge power adjustment and optimized discharge analysis; in the low ebb period, energy storage management is performed according to the relation between the power consumption and the power supply quantity and the power transmission quantity of the distributed power supply, the utilization efficiency of photovoltaic power generation and the reliability of the energy storage system are improved, the proper preselected power supply can be found for energy storage adjustment by screening and selecting the distributed power supply, and the flexibility and the reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage management, and in particular to an energy storage management system for a photovoltaic power station. Background Art

[0002] With the continuous development of photovoltaic power generation technology, the scale and number of photovoltaic power stations are increasing. However, photovoltaic power generation is intermittent and unstable, which brings challenges to the stable operation of the power grid. In order to improve the utilization efficiency of photovoltaic power generation and the stability of the power grid, it is necessary to collect and analyze the power consumption information of photovoltaic power stations and carry out effective energy storage management.

[0003] According to publication number CN118333329A, a photovoltaic energy planning management method and system based on dual time and space characteristics are disclosed, which relates to the field of photovoltaic energy storage and power supply technology, including: calculating the peak period power consumption speed of a single photovoltaic power station, calculating the off-peak period power consumption speed of a single photovoltaic power station; obtaining the actual solar intensity of a single photovoltaic power station at different time periods; obtaining the actual power generation speed of a single photovoltaic power station at different time periods; obtaining the real-time power storage ratio of distributed energy storage equipment at a single photovoltaic power station; judging whether the time period corresponding to the actual power generation speed of the photovoltaic power station is a peak period or an off-peak period; and performing power supply and energy storage balance management for all photovoltaic power stations.

[0004] At present, there are some electricity consumption information collection and energy storage management systems for photovoltaic power stations, but these systems have some problems, such as the inability to accurately divide time periods, the inability to adaptively adjust according to real-time data, and the inability to effectively optimize energy storage. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a photovoltaic power station energy storage management system, which solves the problem that energy storage optimization analysis at different time periods cannot be performed based on the power station data, further affecting the overall energy storage efficiency.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A photovoltaic power station energy storage management system, comprising:

[0007] The power consumption information collection module is used to collect the power consumption information of the photovoltaic power station and transmit the collected power consumption information to the information preprocessing and integration module;

[0008] An information preprocessing and integration module is used to analyze the power consumption information transmitted by the power consumption information collection module, analyze the power consumption time period according to historical data and generate the power consumption interval, and obtain the time period evaluation value according to the power consumption interval, and divide the time period into peak period and valley period based on the time period evaluation value, and integrate them to obtain the power consumption peak time period information and the power consumption valley time period information, and transmit the power consumption peak time period information to the peak time period analysis module, and transmit the power consumption valley time period information to the valley time period analysis module;

[0009] The peak period analysis module is used to analyze the peak period information of electricity consumption transmitted by the information preprocessing and integration module. At the same time, the adaptive adjustment unit analyzes the grid frequency and grid voltage respectively in combination with the acquired real-time data to generate adjustment information. Then, the energy storage adjustment unit performs energy storage analysis based on the generated adjustment information and in combination with the electricity demand, generates energy storage adjustment information, and transmits the energy storage adjustment information to the management information output module.

[0010] The off-peak period analysis module is used to analyze the off-peak section according to the acquired off-peak information of electricity consumption, and to manage energy storage according to the transmission capacity of different distributed power sources by combining the relationship between electricity consumption and power supply in the off-peak section. At the same time, it generates energy storage regulation information, and then transmits the energy storage regulation information to the management information output module.

[0011] The management information output module is used to display the acquired energy storage regulation information to the corresponding operator.

[0012] As a further solution of the present invention: the specific method in which the information preprocessing integration module divides the time periods into peak periods and valley periods based on the time period evaluation value is:

[0013] Get all the historical data within time t, and generate the power generation interval with the minimum and maximum power generation within time t. Then get the power consumption of the power station according to the historical data, and generate the power consumption interval with the minimum and maximum power consumption. Then calculate the mean of the sum of the minimum and maximum power consumption intervals, and use the calculated mean as the standard value. At the same time, calculate the time period judgment value based on the standard value. The specific calculation method is as follows: Where D is the time period judgment value, and Dz is the standard value;

[0014] Obtain the power consumption corresponding to the unit time in the historical data, label the days in the historical data as T, and T = 1, 2, ..., n, and n represents the number of days in the historical data, and label the unit time corresponding to the day number T as Ta, and a = 1, 2, ..., 24, and obtain the power consumption corresponding to the unit time Ta in turn, and record it as D Ta , correspond all days T to the unit time electricity consumption D of the same unit time label TaPerform sum calculation and calculate the overall average value to get the power consumption per unit time D Tp ;

[0015] The calculated power consumption per unit time D Tp Compared with the time period evaluation value D, if the unit time power consumption value D Tp If the power consumption per unit time is greater than the time period judgment value D, the corresponding unit time period is marked as the peak period, and the power consumption per unit time value D Tp If it is less than the time period judgment value D, the corresponding unit time period is marked as a low period.

[0016] As a further solution of the present invention: the specific method of the information preprocessing module integrating the peak period and the valley period to obtain the peak period information and the valley period information is as follows:

[0017] Calculate the difference between the power consumption values ​​per unit time of two adjacent unit time periods, and compare the calculated difference with a preset value. If the calculated difference is greater than the preset value, it indicates that the corresponding two adjacent unit time periods cannot be combined. If the calculated difference is less than the preset value, it indicates that the corresponding two adjacent unit time periods can be combined.

[0018] In this way, all unit time periods are compared and analyzed, and secondary segmentation is performed to generate peak power consumption period information and valley power consumption period information.

[0019] As a further solution of the present invention: the specific manner in which the adaptive adjustment unit in the peak period analysis module analyzes the power grid frequency is:

[0020] The acquired grid frequency is monitored to determine the change of the grid frequency. If the grid frequency is rising, a frequency increase signal is generated. Conversely, if the grid frequency is falling, a frequency decrease signal is generated. Output power adjustment analysis is performed on the frequency increase signal and the frequency decrease signal. The real-time output power is calculated, and the corresponding adjustment value is calculated based on the grid frequency change value. At the same time, the corresponding output power adjustment is performed according to the adjustment value to generate output power adjustment information.

[0021] As a further solution of the present invention: the specific manner in which the adaptive adjustment unit in the peak time analysis module analyzes the grid voltage is:

[0022] The acquired grid voltage is monitored, and the amplitude and direction of voltage fluctuations are determined through data collection and processing. The reactive power output of the energy storage system is automatically adjusted according to the voltage fluctuations, and reactive power regulation information is generated at the same time.

[0023] As a further solution of the present invention: the specific manner in which the energy storage adjustment unit in the peak time period analysis module generates the energy storage adjustment information based on the generated adjustment information is:

[0024] The grid load in the real-time data is obtained, and the corresponding discharge power level is calculated based on the real-time grid load. The real-time grid load is periodically monitored, and then the discharge power is adjusted according to the change of the real-time grid load. At the same time, the discharge power of the discharge power source is judged. If the discharge power source can meet the discharge power adjustment, the discharge power adjustment information is generated. Conversely, if the discharge power source cannot meet the discharge power adjustment, an optimized discharge signal is generated, and the optimized discharge signal is analyzed.

[0025] As a further solution of the present invention: the specific manner in which the energy storage adjustment unit in the peak time analysis module analyzes the optimized discharge signal is:

[0026] All distributed power sources are obtained and labeled as i, where i=1, 2, ..., j, where j represents the number of distributed power sources, and the discharge power corresponding to the distributed power source i is obtained. At the same time, the distributed power source i is screened based on the discharge power to obtain the pre-selected power source, and then the discharge power and discharge duration of the pre-selected power source are comprehensively selected to obtain the energy storage regulation information, and the energy storage regulation information is transmitted to the management information output module.

[0027] As a further solution of the present invention: the specific method of the valley period analysis module to analyze the valley period according to the valley information of electricity consumption is:

[0028] The power consumption corresponding to the off-peak period is obtained, and the corresponding power supply is obtained at the same time, and the supply-demand ratio is calculated, and the calculated supply-demand ratio is then compared with the threshold. If the supply-demand ratio is greater than the threshold, it indicates that the power supply is in excess, and an energy storage analysis signal is generated. If the supply-demand ratio is less than the threshold, it indicates that the power supply is balanced, and a normal signal is generated, and the energy storage analysis signal is analyzed at the same time.

[0029] As a further solution of the present invention: the specific method in which the valley period analysis module analyzes the energy storage analysis signal is:

[0030] Acquire all distributed power sources, and at the same time acquire the corresponding transmission capacity of the distributed power sources, and sort them from large to small according to the transmission capacity. Then select the same number of distributed power sources in order for energy storage management, generate energy storage regulation information, and transmit the energy storage regulation information to the management information output module.

[0031] The present invention provides a photovoltaic power station energy storage management system. Compared with the prior art, it has the following advantages:

[0032] Beneficial effects:

[0033] The present invention generates power generation intervals and power consumption intervals through analysis of historical data, and calculates time period evaluation values, and can accurately mark unit time periods as peak periods or valley periods. During peak periods, the discharge power level is calculated in combination with changes in grid frequency and voltage and real-time grid load, and discharge power regulation and optimized discharge analysis are performed; during valley periods, energy storage management is performed based on the relationship between power consumption and power supply and the transmission capacity of distributed power sources, thereby improving the utilization efficiency of photovoltaic power generation and the reliability of the energy storage system. By screening and selecting distributed power sources, suitable pre-selected power sources can be found for energy storage regulation, thereby improving the flexibility and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a block diagram of the system principle of the present invention;

[0035] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0036] 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.

[0037] For example, see Figure 1 and Figure 2 The present application provides a photovoltaic power station energy storage management system, including: an electricity consumption information collection module, an information preprocessing integration module, a peak period analysis module, a valley period analysis module and a management information output module, and the above-mentioned functional modules are connected by unidirectional wires, wherein the peak period analysis module includes multiple functional units, specifically including an adaptive adjustment unit and an energy storage adjustment unit.

[0038] Among them, the power consumption information collection module is used to collect the power consumption information of the photovoltaic power station and transmit the collected power consumption information to the information preprocessing and integration module. Specifically, the power consumption information of the photovoltaic power station includes the corresponding power consumption, power generation, power consumption time, and the corresponding output power, reactive power, grid frequency and grid voltage during the charging and discharging process.

[0039] Next, the information preprocessing integration module is used to analyze the overall power consumption time period of the power station according to the power consumption information transmitted by the power consumption information collection module. First, the acquired historical data is analyzed to obtain all historical data within time t, and the corresponding power generation of the power station in the historical data is obtained. At the same time, the power generation interval is generated with the minimum and maximum power generation within time t; and the time value of time t is one quarter.

[0040] Then, the power consumption corresponding to the power station is obtained according to the historical data, and the power consumption interval is generated with the minimum and maximum power consumption, where the minimum and maximum values ​​are the power consumption in a day. Then, the mean of the sum of the minimum and maximum values ​​of the power consumption interval is calculated, and the calculated mean is used as the standard value. At the same time, the time period judgment value is calculated according to the standard value. The specific calculation method is as follows: Where D is the time period judgment value, and Dz is the standard value;

[0041] According to the historical data, the power consumption corresponding to the unit time is obtained, and the average power consumption of all unit times is calculated, and the calculated average value is used as the power consumption value per unit time. The specific calculation method is to label the days in the historical data as T, and T = 1, 2, ..., n, and n represents the number of days in the historical data, and the unit time corresponding to the day T is labeled as Ta, and a = 1, 2, ..., 24, and a here represents the time point in a day. Specifically, the 24 hours in a day are divided, and the power consumption corresponding to the unit time Ta is obtained in sequence and recorded as D Ta , correspond all days T to the unit time electricity consumption D of the same unit time label Ta Perform sum calculation and calculate the overall mean. The specific calculation formula is: The calculated mean value is recorded as the power consumption per unit time D Tp ;

[0042] In a specific example, suppose there is a factory, and the power consumption data corresponding to the factory will be collected by the power station accordingly, and the power consumption data for one month (30 days) is collected. The time is divided into hours.

[0043] On the first day, the electricity consumption at 0 o'clock is 50 degrees, recorded as D T1a1 =50; the power consumption at point 1 is 48 degrees, recorded as D T1a2 =48; ...; the power consumption at 23 o'clock is 45 degrees, recorded as D T1a24 =45;

[0044] On the first day, the electricity consumption at 0 o'clock is 52 degrees, recorded as D T1a1 =50; the power consumption at point 1 is 49 degrees, recorded as D T1a2 =49; ...; The power consumption at 23 o'clock is 45 degrees, recorded as D T1a24 =45;

[0045] And so on, until thirty days.

[0046] Now calculate the total power consumption per unit time at 0 o'clock, that is Assuming the calculation result is 1500 degrees, then the average power consumption per unit time at 0 o'clock is the power consumption per unit time.

[0047]

[0048] Similarly, the electricity consumption per unit time at other time points can be calculated.

[0049] The calculated power consumption per unit time D Tp Compared with the time period evaluation value D, if the unit time power consumption value D Tp If the power consumption per unit time is greater than the time period judgment value D, the corresponding unit time period is marked as the peak period, and the power consumption per unit time value D Tp If it is less than the time period judgment value D, the corresponding unit time period is marked as the low period, and so on, all unit time periods in a day are classified;

[0050] At the same time, the overall secondary segmentation is carried out according to the peak segment and the trough segment obtained by classification, and the specific division method is as follows:

[0051] The difference between the unit time electricity consumption values ​​of two adjacent unit time periods is calculated according to the unit time number, and the calculated difference is compared with the preset value. The preset value here is set by the operator. If the calculated difference is greater than the preset value, it means that the corresponding two adjacent unit time periods cannot be combined. If the calculated difference is less than the preset value, it means that the corresponding two adjacent unit time periods can be combined. Similarly, all unit time periods are compared and analyzed, and secondary segmentation is performed to generate peak consumption period information and valley consumption period information.

[0052] Finally, the generated peak power consumption period information is transmitted to the peak period analysis module, and the valley power consumption period information is transmitted to the valley period analysis module.

[0053] The peak period analysis module is used to analyze the peak period information transmitted by the information preprocessing and integration module. First, the adaptive adjustment unit makes corresponding adjustments according to the changes in the grid frequency and grid voltage during the peak period.

[0054] The collected real-time data is obtained, and the real-time data here includes grid frequency, grid voltage, output power and reactive power. The grid frequency and grid voltage in the real-time data are monitored and analyzed, and the output power and reactive power are adjusted according to different changes. The specific adjustment methods are as follows:

[0055] The acquired grid frequency is monitored, and usually the standard grid frequency is 50Hz. The change of the grid frequency is judged. If the grid frequency is rising, a frequency increase signal is generated. Conversely, if the grid frequency is falling, a frequency decrease signal is generated. The output power adjustment analysis is performed on the frequency increase signal and the frequency decrease signal. The real-time output power is calculated, and the corresponding adjustment value is calculated based on the grid frequency change value. At the same time, the corresponding output power adjustment is performed according to the adjustment value to generate the output power adjustment information.

[0056] In a specific example, assuming that the real-time output power of the current distributed energy system is 100kW. According to the grid frequency change value and the preset algorithm, the corresponding adjustment value is calculated. For example, every 0.1Hz frequency increase corresponds to a 5kW reduction in the output power adjustment value. Since the grid frequency increases by 0.1Hz, the calculated adjustment value is to reduce the output power by 5kW, reducing the output power from 100kW to 95kW, and generating output power adjustment information.

[0057] In another scenario, after a period of time, the grid frequency is monitored to be 49.9 Hz, and it is determined that the grid frequency has dropped, and a frequency drop signal is generated.

[0058] The output power regulation analysis is also performed. Assume that the real-time output power is still 95kW at this time. According to the preset algorithm, every 0.1Hz frequency drop corresponds to an increase in the output power regulation value of 8kW. Since the grid frequency dropped by 0.1Hz, the calculated regulation value is an increase in the output power of 8kW. Finally, the output power is adjusted according to the regulation value, increasing the output power from 95kW to 103kW, and generating output power regulation information.

[0059] The acquired grid voltage is monitored, and the amplitude and direction of voltage fluctuations are accurately determined through rapid data collection and processing. The intelligent control algorithm is used to automatically adjust the reactive power output of the energy storage system according to the voltage fluctuation, and reactive power regulation information is generated at the same time. For example, by using advanced algorithms such as fuzzy logic control or neural network control, the energy storage system monitors the grid voltage in real time. When the voltage drops, the reactive power output is immediately started. The intelligent control algorithm automatically calculates the reactive power required to be output according to the amplitude of the voltage drop. Specifically, the grid voltage deviation (the difference between the actual grid voltage and the rated voltage), grid frequency deviation (the difference between the actual grid frequency and the rated frequency) and load current are first determined, and the acquired parameters are further fuzzified. At the same time, control rules are formulated based on the fuzzified data, and fuzzy rules are used for reasoning to obtain the fuzzy value of the output variable. For example, if the input grid voltage deviation is a certain value, the fuzzy value of the reactive power compensation amount is determined by calculating its membership in different fuzzy sets and then according to the corresponding fuzzy rules.

[0060] In a specific example, assume a small power grid system with a rated voltage of 220V, a current actual grid voltage of 215V, a grid frequency of 49.8Hz, and a load current of 50A. First, determine that the grid voltage deviation is -5V. According to the defined fuzzy set, it may belong to the "low deviation" fuzzy set, and calculate its membership in the set. Assume that the grid frequency deviation belongs to "low frequency deviation" and the load current belongs to "medium current". Then, perform fuzzy reasoning according to the established fuzzy rules. If there is a rule that when the grid voltage deviation is "low deviation", the load current is "medium current" and the grid frequency deviation is "low frequency deviation", the reactive power compensation amount is "small compensation amount", then the fuzzy value of the output variable is "small compensation amount". Finally, through the defuzzification method, assuming that the centroid method is used, the specific reactive power compensation amount is calculated to be 10kvar.

[0061] Secondly, the energy storage regulating unit performs energy storage analysis based on the regulating information generated by the adaptive regulating unit, and the regulating information here includes output power regulating information and reactive power regulating information, and combines the corresponding electricity demand.

[0062] The grid load in the real-time data is obtained, and the corresponding discharge power level is calculated based on the real-time grid load. Specifically, the grid load is divided into different intervals according to the capacity and operation requirements of the grid. Each interval corresponds to a discharge power level. For example, the grid load can be divided into three intervals: low load, medium load and high load. The low load interval corresponds to a smaller discharge power level, and the high load interval corresponds to a larger discharge power level. Assuming that the capacity of a grid is 100MW, the grid load is divided into the following three intervals:

[0063] Low load range: 0-30MW, corresponding to a discharge power level of 10MW.

[0064] Medium load range: 30-70MW, corresponding to a discharge power level of 20MW.

[0065] High load range: 70-100MW, corresponding to a discharge power level of 30MW.

[0066] At a certain moment, the real-time monitored grid load is 55MW, which is in the medium load range. Therefore, the discharge power level at this time is determined to be 20MW. If the grid load gradually increases in the next period of time, it is expected to reach 75MW. According to the load change trend, the discharge power level can be adjusted to 30MW in advance to ensure the stable operation of the grid.

[0067] The real-time grid load is periodically monitored, and then the discharge power is adjusted according to the real-time grid load changes. At the same time, the discharge power of the discharge power supply is judged. If the discharge power supply can meet the discharge power adjustment, the discharge power adjustment information is generated. Conversely, if the discharge power supply cannot meet the discharge power adjustment, an optimized discharge signal is generated.

[0068] For the generated optimized discharge signal, all distributed power sources are obtained and labeled as i, and i=1, 2, ..., j, where j represents the number of distributed power sources, and the discharge power corresponding to the distributed power source i is obtained, and the distributed power source i is screened based on the discharge power to obtain the pre-selected power source. Specifically, the distributed power sources are judged and screened based on the discharge power adjustment information, and the distributed power sources that meet the discharge power adjustment information are recorded as pre-selected power sources. Then, the discharge power and discharge duration of the pre-selected power sources are comprehensively selected to obtain the energy storage adjustment information, and the energy storage adjustment information is transmitted to the management information output module.

[0069] A management information output module is used to display the acquired energy storage regulation information to the corresponding operator.

[0070] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that:

[0071] The off-peak period analysis module uses the off-peak period information for analysis and conducts energy storage analysis based on the supply and demand relationship.

[0072] The power consumption corresponding to the valley section is obtained, and the corresponding power supply is obtained at the same time, and the supply-demand ratio is calculated. The calculated supply-demand ratio is then compared with the threshold, and the specific value of the threshold is set by the operator. Under normal circumstances, the threshold value is 1.2. If the supply-demand ratio is greater than the threshold, it indicates that the power supply is in excess, and an energy storage analysis signal is generated. If the supply-demand ratio is less than the threshold, it indicates that the power supply is balanced, and a normal signal is generated;

[0073] For the generated energy storage analysis signal, all distributed power sources are obtained, and the transmission amount corresponding to the distributed power sources is obtained at the same time. The transmission amount here represents the amount of power output by the corresponding distributed power source, and is sorted from large to small according to the transmission amount. Then, the same number of distributed power sources are selected in sequence for energy storage management. Specifically, the same number here represents the number of generated energy storage analysis signals. If there are three generated signals, three distributed power sources are selected in sequence from large to small for energy storage, and energy storage regulation information is generated at the same time, and the energy storage regulation information is transmitted to the management information output module.

[0074] A management information output module is used to display the acquired energy storage regulation information to the corresponding operator.

[0075] Embodiment 3, as the embodiment 3 of the present invention, focuses on combining the embodiment processes of embodiment 1 and embodiment 2 for implementation.

[0076] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0077] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A photovoltaic power station energy storage management system, characterized in that: include: An information preprocessing and integration module is used to analyze the power consumption information transmitted by the power consumption information collection module, analyze the power consumption time period according to historical data and generate the power consumption interval, and obtain the time period evaluation value according to the power consumption interval, and divide the time period into peak period and valley period based on the time period evaluation value, and integrate them to obtain the power consumption peak time period information and the power consumption valley time period information, and transmit the power consumption peak time period information to the peak time period analysis module, and transmit the power consumption valley time period information to the valley time period analysis module; The peak period analysis module is used to analyze the peak period information of electricity consumption transmitted by the information preprocessing and integration module. At the same time, the adaptive adjustment unit analyzes the grid frequency and grid voltage respectively in combination with the acquired real-time data to generate adjustment information. Then, the energy storage adjustment unit performs energy storage analysis based on the generated adjustment information and in combination with the electricity demand, generates energy storage adjustment information, and transmits the energy storage adjustment information to the management information output module. The off-peak period analysis module is used to analyze the off-peak section according to the acquired off-peak information of electricity consumption, and to manage energy storage according to the transmission capacity of different distributed power sources by combining the relationship between electricity consumption and power supply in the off-peak section. At the same time, it generates energy storage regulation information, and then transmits the energy storage regulation information to the management information output module.

2. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The invention also includes an electricity consumption information collection module and a management information output module; The power consumption information collection module is used to collect the power consumption information of the photovoltaic power station and transmit the collected power consumption information to the information preprocessing and integration module; The management information output module is used to display the acquired energy storage regulation information to the corresponding operator.

3. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific method of the information preprocessing integration module to divide the time periods into peak periods and valley periods based on the time period evaluation value is as follows: Get all the historical data within time t, and generate the power generation interval with the minimum and maximum power generation within time t. Then get the power consumption of the power station according to the historical data, and generate the power consumption interval with the minimum and maximum power consumption. Then calculate the mean of the sum of the minimum and maximum power consumption intervals, and use the calculated mean as the standard value. At the same time, calculate the time period judgment value based on the standard value. The specific calculation method is as follows: Where D is the time period judgment value, and Dz is the standard value; Obtain the power consumption corresponding to the unit time in the historical data, label the days in the historical data as T, and T = 1, 2, ..., n, and n represents the number of days in the historical data, and label the unit time corresponding to the day number T as Ta, and a = 1, 2, ..., 24, and obtain the power consumption corresponding to the unit time Ta in turn, and record it as D Ta , correspond all days T to the unit time electricity consumption D of the same unit time label Ta Perform sum calculation and calculate the overall average value to get the power consumption per unit time D Tp ; The calculated power consumption per unit time D Tp Compared with the time period evaluation value D, if the unit time power consumption value D Tp If the power consumption per unit time is greater than the time period judgment value D, the corresponding unit time period is marked as the peak period, and the power consumption per unit time value D Tp If it is less than the time period judgment value D, the corresponding unit time period is marked as a low period.

4. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific method of the information preprocessing module integrating the peak period and the valley period to obtain the peak power consumption period information and the valley power consumption period information is as follows: Calculate the difference between the power consumption values ​​per unit time of two adjacent unit time periods, and compare the calculated difference with a preset value. If the calculated difference is greater than the preset value, it indicates that the corresponding two adjacent unit time periods cannot be combined. If the calculated difference is less than the preset value, it indicates that the corresponding two adjacent unit time periods can be combined. In this way, all unit time periods are compared and analyzed, and secondary segmentation is performed to generate peak power consumption period information and valley power consumption period information.

5. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific method in which the adaptive adjustment unit in the peak period analysis module analyzes the power grid frequency is: The acquired grid frequency is monitored to determine the change of the grid frequency. If the grid frequency is rising, a frequency increase signal is generated. Conversely, if the grid frequency is falling, a frequency decrease signal is generated. Output power adjustment analysis is performed on the frequency increase signal and the frequency decrease signal. The real-time output power is calculated, and the corresponding adjustment value is calculated based on the grid frequency change value. At the same time, the corresponding output power adjustment is performed according to the adjustment value to generate output power adjustment information.

6. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific method in which the adaptive adjustment unit in the peak period analysis module analyzes the grid voltage is as follows: The acquired grid voltage is monitored, and the amplitude and direction of voltage fluctuations are determined through data collection and processing. The reactive power output of the energy storage system is automatically adjusted according to the voltage fluctuations, and reactive power regulation information is generated at the same time.

7. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific manner in which the energy storage adjustment unit in the peak period analysis module generates the energy storage adjustment information based on the generated adjustment information is: The grid load in the real-time data is obtained, and the corresponding discharge power level is calculated based on the real-time grid load. The real-time grid load is periodically monitored, and then the discharge power is adjusted according to the change of the real-time grid load. At the same time, the discharge power of the discharge power source is judged. If the discharge power source can meet the discharge power adjustment, the discharge power adjustment information is generated. Conversely, if the discharge power source cannot meet the discharge power adjustment, an optimized discharge signal is generated, and the optimized discharge signal is analyzed.

8. A photovoltaic power station energy storage management system according to claim 7, characterized in that: The specific method in which the energy storage adjustment unit in the peak period analysis module analyzes the optimized discharge signal is: All distributed power sources are obtained and labeled as i, where i=1, 2, ..., j, where j represents the number of distributed power sources, and the discharge power corresponding to the distributed power source i is obtained. At the same time, the distributed power source i is screened based on the discharge power to obtain the pre-selected power source, and then the discharge power and discharge duration of the pre-selected power source are comprehensively selected to obtain the energy storage regulation information, and the energy storage regulation information is transmitted to the management information output module.

9. A photovoltaic power station energy storage management system according to claim 1, characterized in that: The specific method of the valley period analysis module to analyze the valley period according to the valley information of electricity consumption is as follows: The power consumption corresponding to the off-peak period is obtained, and the corresponding power supply is obtained at the same time, and the supply-demand ratio is calculated, and the calculated supply-demand ratio is then compared with the threshold. If the supply-demand ratio is greater than the threshold, it indicates that the power supply is in excess, and an energy storage analysis signal is generated. If the supply-demand ratio is less than the threshold, it indicates that the power supply is balanced, and a normal signal is generated, and the energy storage analysis signal is analyzed at the same time.

10. A photovoltaic power station energy storage management system according to claim 9, characterized in that: The specific method in which the valley period analysis module analyzes the energy storage analysis signal is as follows: Acquire all distributed power sources, and at the same time acquire the corresponding transmission capacity of the distributed power sources, and sort them from large to small according to the transmission capacity. Then select the same number of distributed power sources in order for energy storage management, generate energy storage regulation information, and transmit the energy storage regulation information to the management information output module.

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