An integrated charging and discharging management system for photovoltaic energy storage charging stations

Abstract

The present invention relates to the technical field of charge and discharge management, and in particular to an integrated charge and discharge management system for a photovoltaic energy storage charging station, comprising a power station management platform, an information collection unit, an energy storage management unit, a discharge supervision unit, a fusion feedback unit, a prediction planning unit, and an execution response unit; the present invention analyzes the energy storage, discharge, and overall information fusion of the photovoltaic energy storage charging station to improve the rationality and reliability of the management of the photovoltaic energy storage charging station, and evaluates the charge and discharge management of the entire photovoltaic energy storage charging station by means of information fusion, so as to rationally manage the photovoltaic energy storage charging station as a whole according to different information feedback conditions, so as to improve the overall safety and stability of the photovoltaic energy storage charging station, and under the premise of normal energy storage, accompanied by charging prediction planning processing, it is conducive to the rationality of the subsequent charging management and the high efficiency of energy utilization of the photovoltaic energy storage charging station.

Description

Technical Field

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

[0002] As energy and environmental issues become increasingly severe, low-energy electric vehicles have become one of the main development directions of the automotive industry. The large-scale development of electric vehicles cannot be separated from the support of charging stations. However, traditional charging stations connect the charging load completely to the power grid, which causes a large impact on the power grid voltage. In order to alleviate the impact of electric vehicle charging on the power grid and improve the economic efficiency of charging stations, photovoltaic and storage integrated charging stations came into being.

[0003] As a product of the combined construction of photovoltaic, energy storage and charging stations, the photovoltaic integrated charging station uses photovoltaic components to generate electricity during the day, and the energy storage battery absorbs the valley electricity and discharges to the charging pile during the peak period to support the operation of the charging pile. By optimizing energy configuration through photovoltaic power generation and energy storage, the electricity cost is greatly reduced. However, in the existing technology, it is impossible to supervise the existing photovoltaic energy storage charging station energy storage equipment, which leads to excessive risk of charging and discharging of energy storage equipment and unreasonable risk of charging and discharging energy management, thereby reducing the management efficiency of photovoltaic energy storage charging station energy storage equipment, and at the same time is not conducive to the overall management of photovoltaic energy storage charging station, reducing the energy storage safety of photovoltaic energy storage charging station energy storage equipment;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an integrated charging and discharging management system for a photovoltaic energy storage charging station to solve the above-mentioned technical defects. The present invention analyzes the photovoltaic energy storage charging station from three perspectives: energy storage, discharge, and overall information fusion, to improve the rationality and reliability of the management of the photovoltaic energy storage charging station, and evaluates the charging and discharging management of the entire photovoltaic energy storage charging station through information fusion, so as to rationally manage the photovoltaic energy storage charging station as a whole according to different information feedback situations, so as to improve the overall safety and stability of the photovoltaic energy storage charging station, and under the premise of normal energy storage, accompanied by charging prediction planning processing, it is helpful to the rationality of the subsequent charging management and the efficiency of energy utilization of the photovoltaic energy storage charging station.

[0006] The object of the present invention can be achieved by the following technical solutions: an integrated charging and discharging management system for a photovoltaic energy storage charging station, comprising a power station management platform, an information collection unit, an energy storage management unit, a discharge supervision unit, a fusion feedback unit, a prediction planning unit, and an execution response unit;

[0007] When the power station management platform generates an operation and management instruction, the operation and management instruction is sent to the information collection unit. After receiving the operation and management instruction, the information collection unit immediately collects the energy storage management data and discharge risk data of the photovoltaic energy storage charging station. The energy storage management data includes the energy storage damage coefficient and the use assessment value, and the discharge risk data includes the discharge performance value and the characteristic assessment value. The energy storage management data and the discharge risk data are sent to the energy storage management unit and the discharge supervision unit respectively;

[0008] After receiving the energy storage management data, the energy storage management unit immediately performs energy storage risk supervision feedback analysis on the energy storage management data, sends the obtained energy storage management evaluation coefficient C to the fusion feedback unit, sends the obtained feedback instruction to the prediction planning unit, and sends the obtained alarm signal to the execution response unit;

[0009] The prediction planning unit is used to respond to feedback instructions and collect prediction management data of the photovoltaic energy storage charging station. The prediction management data represents the planning and control evaluation coefficient, and performs advance prediction scheduling matching analysis on the prediction management data. The obtained low-level scheduling signal and high-level scheduling signal are sent to the execution response unit through the energy storage management unit;

[0010] After receiving the discharge risk data, the discharge supervision unit immediately performs discharge performance supervision feedback analysis and progressive information comparison analysis on the discharge risk data, and sends the obtained discharge risk signal to the execution response unit;

[0011] After receiving the energy storage management evaluation coefficient C, the fusion feedback unit immediately performs an information fusion evaluation operation and sends the obtained low-level management signal and high-level management signal to the execution response unit.

[0012] Preferably, the energy storage risk supervision feedback analysis process of the energy storage management unit is as follows:

[0013] S1: Set a monitoring cycle and set it as a time threshold, obtain the number of full storage times of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold, obtain the portion of the actual maximum energy storage value of each full storage time within the time threshold that is lower than the preset energy storage value, and the proportion of the number of times the product value obtained after data normalization of the unit time energy storage loss value is greater than the preset threshold, and set it as the energy storage damage coefficient. The unit time energy storage loss value represents the amount of self-leakage per unit time of the energy storage device after energy storage is completed;

[0014] S2: Obtain the energy storage risk value of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold. The energy storage risk value represents the proportion of over-temperature charging times in the total number of energy storage times of the energy storage equipment. The number of over-temperature charging times represents the number of times that the product of the portion of the energy storage equipment charging time that exceeds the preset charging operating temperature and the duration after data normalization is greater than the preset threshold. The energy storage damage coefficient and the energy storage risk value are labeled CS and CF respectively.

[0015] S3: According to the formula The energy storage management assessment coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the energy storage damage coefficient and the energy storage risk value, respectively. Both a1 and a2 are greater than zero. A3 is the preset correction factor coefficient, which is 2.228. C is the energy storage management assessment coefficient. The energy storage management assessment coefficient C is sent to the fusion feedback unit. At the same time, the energy storage management assessment coefficient C is compared with the preset energy storage management assessment coefficient threshold value stored in the internal input:

[0016] If the energy storage management evaluation coefficient C is less than the preset energy storage management evaluation coefficient threshold, a feedback instruction is generated;

[0017] If the energy storage management evaluation coefficient C is greater than or equal to the preset energy storage management evaluation coefficient threshold, an alarm signal is generated.

[0018] Preferably, the advance forecast scheduling matching analysis process of the forecast planning unit is as follows:

[0019] The historical power generation data of the photovoltaic energy storage charging station within the same historical time threshold is obtained. The historical power generation data represents the power generation curve. At the same time, the power generation curve of the photovoltaic energy storage charging station within the current time threshold is obtained. The power generation curve is matched and analyzed with the historical power generation data. The power generation curve with the largest overlap with the power generation curve in the historical power generation data is set as the predicted power generation curve, and then the predicted power generation of the next photovoltaic energy storage charging station is obtained. At the same time, the maximum energy storage value of the photovoltaic energy storage charging station energy storage equipment within the time threshold is obtained, and the part of the predicted power generation that exceeds the maximum energy storage value is set as the planning control evaluation coefficient. The planning control evaluation coefficient is compared and analyzed with the preset planning control evaluation coefficient threshold value stored in its internal input:

[0020] If the ratio between the planning control evaluation coefficient and the preset planning control evaluation coefficient threshold is less than 1, a low-level scheduling signal is generated;

[0021] If the ratio between the planning and control evaluation coefficient and the preset planning and control evaluation coefficient threshold is greater than or equal to 1, an advanced scheduling signal is generated.

[0022] Preferably, the discharge performance supervision feedback analysis process of the discharge supervision unit is as follows:

[0023] T1: Obtain the discharge performance value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The discharge performance value indicates the proportion of the number of times that the ratio between the duration corresponding to the discharge fluctuation amplitude exceeding the preset discharge fluctuation amplitude and the total discharge duration is greater than the preset threshold in the total number of discharges of the energy storage equipment. Compare and analyze the discharge performance value with the stored preset discharge performance value threshold, and set the portion of the discharge performance value greater than the preset discharge performance value threshold as the discharge risk value;

[0024] T2: Obtain the characteristic evaluation value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The characteristic evaluation value represents the ratio between the number of times that the discharge temperature value of the photovoltaic energy storage charging station energy storage equipment exceeds the preset discharge temperature value threshold for two consecutive times and the total number of discharges. Compare and analyze the characteristic evaluation value with the stored preset characteristic evaluation value threshold, and set the part of the characteristic evaluation value that is greater than the preset characteristic evaluation value threshold as the potential risk value;

[0025] T3: Obtain the operating parameter value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The operating parameter value represents the ratio of the time corresponding to the discharge power of the photovoltaic energy storage charging station energy storage equipment deviating from the preset discharge power range and the number of times the discharge time is greater than the preset threshold to the total number of discharges.

[0026] Preferably, the progressive information comparison and analysis process of the discharge supervision unit is as follows:

[0027] Compare and analyze the discharge risk value, potential risk value and operating parameter value with the preset discharge risk value threshold, preset potential risk value threshold and preset operating parameter value threshold that are stored internally:

[0028] If the discharge risk value, the potential risk value and the operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, no signal is generated;

[0029] If the discharge risk value, the potential risk value and the operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, a discharge risk signal is generated.

[0030] Preferably, the information fusion evaluation operation process of the fusion feedback unit is as follows:

[0031] The energy storage management evaluation coefficient C within the time threshold is obtained, and the discharge risk value and potential risk value within the time threshold are obtained, and the discharge risk value, potential risk value and operation parameter value are labeled as FD, QF and YC respectively;

[0032] According to the formula The charge and discharge management evaluation coefficient is obtained, where f1, f2, f3 and f4 are respectively the preset weight factor coefficients of the discharge risk value, potential risk value, operating parameter value and energy storage management evaluation coefficient, f1, f2, f3 and f4 are all greater than zero, f5 is the preset fault tolerance factor coefficient, and its value is 2.871, and R is the charge and discharge management evaluation coefficient. The charge and discharge management evaluation coefficient R is compared and analyzed with the preset charge and discharge management evaluation coefficient threshold value stored in the internal input:

[0033] If the charge-discharge management evaluation coefficient R is less than or equal to the preset charge-discharge management evaluation coefficient threshold, no instruction is generated;

[0034] If the charge and discharge management evaluation coefficient R is greater than the preset charge and discharge management evaluation coefficient threshold, an unqualified instruction is generated. When an unqualified instruction is generated, the portion of the charge and discharge management evaluation coefficient R that is greater than the preset charge and discharge management evaluation coefficient threshold is obtained, and the portion is set as the charge and discharge management coefficient, and the charge and discharge management coefficient is compared and analyzed with the preset charge and discharge management coefficient threshold stored internally:

[0035] If the charge-discharge management coefficient is less than the preset charge-discharge management coefficient threshold, a low-level management signal is generated;

[0036] If the charge-discharge management coefficient is greater than or equal to a preset charge-discharge management coefficient threshold, a high-level management signal is generated.

[0037] The beneficial effects of the present invention are as follows:

[0038] (1) The present invention analyzes the energy storage, discharge and overall information fusion of the photovoltaic energy storage charging station to improve the rationality and reliability of the management of the photovoltaic energy storage charging station, and evaluates the charging and discharging management of the entire photovoltaic energy storage charging station by means of information fusion, so as to rationally manage the photovoltaic energy storage charging station as a whole according to different information feedback conditions, so as to improve the overall safety and stability of the photovoltaic energy storage charging station, and under the premise of normal energy storage, accompanied by charging prediction and planning processing, it is conducive to the rationality of the subsequent charging management and energy utilization efficiency of the photovoltaic energy storage charging station;

[0039] (2) The present invention analyzes from the perspective of discharge and performs discharge performance supervision feedback analysis on the discharge risk data to determine whether the discharge performance of the photovoltaic energy storage charging station is normal, so as to manage the photovoltaic energy storage charging station energy storage equipment reasonably and targetedly based on the information to ensure the discharge safety and stability of the photovoltaic energy storage charging station energy storage equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The present invention will be further described below in conjunction with the accompanying drawings;

[0041] Figure 1 It is a flowchart of the system of the present invention;

[0042] Figure 2 It is a partial reference diagram of the first embodiment 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] Embodiment 1:

[0045] See also Figure 1 to Figure 2 As shown, the present invention is a charging and discharging integrated management system for a photovoltaic energy storage charging station, including a power station management platform, an information collection unit, an energy storage management unit, a discharge supervision unit, a fusion feedback unit, a prediction planning unit and an execution response unit. The power station management platform is connected to the information collection unit in a one-way communication manner, the information collection unit is connected to the energy storage management unit and the discharge supervision unit in a one-way communication manner, the energy storage management unit and the discharge supervision unit are connected to the fusion feedback unit and the execution response unit in a one-way communication manner, the energy storage management unit is connected to the prediction planning unit in a two-way communication manner, and the fusion feedback unit is connected to the execution response unit in a one-way communication manner;

[0046] When the power station management platform generates an operation and management instruction, the operation and management instruction is sent to the information collection unit. After receiving the operation and management instruction, the information collection unit immediately collects the energy storage management data and discharge risk data of the photovoltaic energy storage charging station. The energy storage management data includes the energy storage damage coefficient and the use assessment value, and the discharge risk data includes the discharge performance value and the characteristic assessment value. The energy storage management data and the discharge risk data are sent to the energy storage management unit and the discharge supervision unit respectively. After receiving the energy storage management data, the energy storage management unit immediately performs energy storage risk supervision feedback analysis on the energy storage management data to determine whether the energy storage decision of the photovoltaic energy storage charging station needs to be adjusted to ensure the energy storage safety and energy storage rationality of the photovoltaic energy storage charging station. The specific energy storage risk supervision feedback analysis process is as follows:

[0047] Set a monitoring cycle and set it as a time threshold, obtain the number of full storage times of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold, obtain the portion of the actual maximum energy storage value of each full storage time within the time threshold that is lower than the preset energy storage value, and the product value obtained after data normalization of the unit time energy storage loss value is greater than the proportion of the number of times corresponding to the preset threshold, and set it as the energy storage damage coefficient. The unit time energy storage loss value represents the amount of energy storage equipment itself leaking per unit time after energy storage is completed. It should be noted that the larger the value of the energy storage damage coefficient, the higher the energy storage risk of the photovoltaic energy storage charging station;

[0048] The energy storage risk value of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold is obtained. The energy storage risk value indicates the proportion of over-temperature charging times in the total number of energy storage times of the energy storage equipment. The number of over-temperature charging times indicates the number of times that the product of the portion of the energy storage equipment charging time that exceeds the preset charging operating temperature and the duration after data normalization is greater than the preset threshold. It should be noted that the larger the value of the energy storage risk value, the greater the energy storage abnormality risk of the photovoltaic energy storage charging station, and the higher the energy storage planning demand. The energy storage damage coefficient and the energy storage risk value are labeled CS and CF respectively;

[0049] According to the formula The energy storage management assessment coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the energy storage damage coefficient and the energy storage risk value respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. Both a1 and a2 are greater than zero. A3 is the preset correction factor coefficient, which is 2.228. C is the energy storage management assessment coefficient. The energy storage management assessment coefficient C is sent to the fusion feedback unit, and the energy storage management assessment coefficient C is compared with the preset energy storage management assessment coefficient threshold value stored in the internal input for analysis:

[0050] If the energy storage management evaluation coefficient C is less than the preset energy storage management evaluation coefficient threshold, a feedback instruction is generated and sent to the prediction planning unit;

[0051] If the energy storage management evaluation coefficient C is greater than or equal to the preset energy storage management evaluation coefficient threshold, an alarm signal is generated and sent to the execution response unit. After receiving the alarm signal, the execution response unit immediately displays the preset warning text corresponding to the alarm signal, so as to manage the energy storage equipment of the photovoltaic energy storage charging station according to the information feedback to ensure the safety of energy storage;

[0052] When receiving the feedback instruction, the prediction planning unit immediately collects the prediction management data of the photovoltaic energy storage charging station. The prediction management data represents the planning control evaluation coefficient, and performs advance prediction scheduling matching analysis on the prediction management data, so as to perform advance prediction management of the photovoltaic energy storage charging station, so as to improve the management reliability and stability of the photovoltaic energy storage charging station, and reduce the abnormal scheduling risk of the photovoltaic energy storage charging station. The specific advance prediction scheduling matching analysis process is as follows:

[0053] The historical power generation data of the photovoltaic energy storage charging station within the same historical time threshold is obtained. The historical power generation data represents the power generation curve. At the same time, the power generation curve of the photovoltaic energy storage charging station within the current time threshold is obtained. The power generation curve is matched and analyzed with the historical power generation data. The power generation curve with the largest overlap with the power generation curve in the historical power generation data is set as the predicted power generation curve, and then the predicted power generation of the next photovoltaic energy storage charging station is obtained. At the same time, the maximum energy storage value of the photovoltaic energy storage charging station energy storage equipment within the time threshold is obtained, and the part of the predicted power generation that exceeds the maximum energy storage value is set as the planning control evaluation coefficient. The planning control evaluation coefficient is compared and analyzed with the preset planning control evaluation coefficient threshold value stored in its internal input:

[0054] If the ratio between the planning control evaluation coefficient and the preset planning control evaluation coefficient threshold is less than 1, a low-level scheduling signal is generated;

[0055] If the ratio between the planning and control evaluation coefficient and the preset planning and control evaluation coefficient threshold is greater than or equal to 1, a high-level dispatching signal is generated, and the low-level dispatching signal and the high-level dispatching signal are sent to the execution response unit via the energy storage management unit. After receiving the low-level dispatching signal and the high-level dispatching signal, the execution response unit immediately displays the preset warning text corresponding to the low-level dispatching signal and the high-level dispatching signal, so as to reasonably and targetedly manage the subsequent charging of the photovoltaic energy storage charging station according to the information feedback, so as to improve the rationality of energy management and energy utilization of the photovoltaic energy storage charging station.

[0056] Embodiment 2:

[0057] After receiving the discharge risk data, the discharge supervision unit immediately conducts discharge performance supervision feedback analysis on the discharge risk data to determine whether the discharge performance of the photovoltaic energy storage charging station is normal, so as to manage the photovoltaic energy storage charging station energy storage equipment reasonably and targetedly according to the information to ensure the discharge safety and stability of the photovoltaic energy storage charging station energy storage equipment. The specific discharge performance supervision feedback analysis process is as follows:

[0058] Obtain the discharge performance value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The discharge performance value indicates the ratio of the duration corresponding to the discharge fluctuation amplitude exceeding the preset discharge fluctuation amplitude to the total discharge duration in the total number of discharges of the energy storage equipment to the number of times corresponding to the preset threshold. Compare and analyze the discharge performance value with the stored preset discharge performance value threshold, and set the portion of the discharge performance value that exceeds the preset discharge performance value threshold as the discharge risk value. It should be noted that the larger the discharge risk value, the higher the demand for regulation and control of the discharge of the energy storage equipment.

[0059] The characteristic evaluation value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold is obtained. The characteristic evaluation value represents the ratio between the number of times that the discharge temperature value of the photovoltaic energy storage charging station energy storage equipment exceeds the preset discharge temperature value threshold for two consecutive times and the number of discharges corresponding to the duration longer than the preset duration. The characteristic evaluation value is compared and analyzed with the stored preset characteristic evaluation value threshold, and the part of the characteristic evaluation value that is greater than the preset characteristic evaluation value threshold is set as the potential risk value. It should be noted that the larger the value of the potential risk value, the higher the demand for discharge supervision and regulation of the photovoltaic energy storage charging station energy storage equipment;

[0060] The operating parameter value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold is obtained. The operating parameter value indicates the ratio of the time corresponding to the discharge power of the energy storage equipment of the photovoltaic energy storage charging station deviating from the preset discharge power range and the number of times corresponding to the discharge time being greater than the preset threshold to the total number of discharges. It should be noted that the larger the value of the operating parameter value, the higher the demand for discharge supervision and regulation of the energy storage equipment of the photovoltaic energy storage charging station;

[0061] Compare and analyze the discharge risk value, potential risk value and operating parameter value with the preset discharge risk value threshold, preset potential risk value threshold and preset operating parameter value threshold that are stored internally:

[0062] If the discharge risk value, the potential risk value and the operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, no signal is generated;

[0063] If the discharge risk value, potential risk value and operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, a discharge risk signal is generated and sent to the execution response unit. After receiving the discharge risk signal, the execution response unit immediately displays the preset warning text corresponding to the discharge risk signal, so as to reasonably adjust the discharge supervision intensity of the photovoltaic energy storage charging station energy storage equipment according to the information feedback, so as to improve the discharge stability and safety of the photovoltaic energy storage charging station energy storage equipment;

[0064] After receiving the energy storage management evaluation coefficient C, the fusion feedback unit immediately performs information fusion evaluation operations to determine whether the charging and discharging management of the entire photovoltaic energy storage charging station is reasonable, and then performs reasonable management according to the entire charging and discharging situation. The specific information fusion evaluation operation process is as follows:

[0065] The energy storage management evaluation coefficient C within the time threshold is obtained, and the discharge risk value and potential risk value within the time threshold are obtained, and the discharge risk value, potential risk value and operation parameter value are labeled as FD, QF and YC respectively;

[0066] According to the formula The charge and discharge management evaluation coefficient is obtained, where f1, f2, f3 and f4 are respectively the preset weight factor coefficients of the discharge risk value, potential risk value, operating parameter value and energy storage management evaluation coefficient, f1, f2, f3 and f4 are all greater than zero, f5 is the preset fault tolerance factor coefficient, and its value is 2.871, and R is the charge and discharge management evaluation coefficient. The charge and discharge management evaluation coefficient R is compared and analyzed with the preset charge and discharge management evaluation coefficient threshold value stored in the internal input:

[0067] If the charge-discharge management evaluation coefficient R is less than or equal to the preset charge-discharge management evaluation coefficient threshold, no instruction is generated;

[0068] If the charge and discharge management evaluation coefficient R is greater than the preset charge and discharge management evaluation coefficient threshold, an unqualified instruction is generated. When an unqualified instruction is generated, the portion of the charge and discharge management evaluation coefficient R that is greater than the preset charge and discharge management evaluation coefficient threshold is obtained, and the portion is set as the charge and discharge management coefficient, and the charge and discharge management coefficient is compared and analyzed with the preset charge and discharge management coefficient threshold stored internally:

[0069] If the charge-discharge management coefficient is less than the preset charge-discharge management coefficient threshold, a low-level management signal is generated;

[0070] If the charge-discharge management coefficient is greater than or equal to the preset charge-discharge management coefficient threshold, a high-level management signal is generated, and the low-level management signal and the high-level management signal are sent to the execution response unit. After receiving the low-level management signal and the high-level management signal, the execution response unit immediately displays the preset warning text corresponding to the low-level management signal and the high-level management signal, so as to reasonably manage the photovoltaic energy storage charging station as a whole according to different information feedback conditions, so as to improve the overall safety and stability of the photovoltaic energy storage charging station;

[0071] In summary, the present invention analyzes the energy storage, discharge and overall information fusion of the photovoltaic energy storage charging station from three perspectives to improve the rationality and reliability of the management of the photovoltaic energy storage charging station, and evaluates the charging and discharging management of the entire photovoltaic energy storage charging station by means of information fusion, so as to rationally manage the photovoltaic energy storage charging station as a whole according to different information feedback situations, so as to improve the overall safety and stability of the photovoltaic energy storage charging station, and under the premise of normal energy storage, accompanied by charging prediction planning processing, it is helpful to the rationality of the subsequent charging management and the efficiency of energy utilization of the photovoltaic energy storage charging station, and analyzes from the perspective of discharge, and performs discharge performance supervision feedback analysis on the discharge risk data to determine whether the discharge performance of the photovoltaic energy storage charging station is normal, so as to reasonably and targetedly manage the energy storage equipment of the photovoltaic energy storage charging station according to the information, so as to ensure the discharge safety and stability of the energy storage equipment of the photovoltaic energy storage charging station.

[0072] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0073] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A charging and discharging integrated management system for a photovoltaic energy storage charging station, characterized in that: It includes power station management platform, information collection unit, energy storage management unit, discharge supervision unit, fusion feedback unit, prediction planning unit and execution response unit; When the power station management platform generates an operation and management instruction, the operation and management instruction is sent to the information collection unit. After receiving the operation and management instruction, the information collection unit immediately collects the energy storage management data and discharge risk data of the photovoltaic energy storage charging station. The energy storage management data includes the energy storage damage coefficient and the use assessment value, and the discharge risk data includes the discharge performance value and the characteristic assessment value. The energy storage management data and the discharge risk data are sent to the energy storage management unit and the discharge supervision unit respectively; After receiving the energy storage management data, the energy storage management unit immediately performs energy storage risk supervision feedback analysis on the energy storage management data, sends the obtained energy storage management evaluation coefficient C to the fusion feedback unit, sends the obtained feedback instruction to the prediction planning unit, and sends the obtained alarm signal to the execution response unit; The prediction planning unit is used to respond to feedback instructions and collect prediction management data of the photovoltaic energy storage charging station. The prediction management data represents the planning and control evaluation coefficient, and performs advance prediction scheduling matching analysis on the prediction management data. The obtained low-level scheduling signal and high-level scheduling signal are sent to the execution response unit through the energy storage management unit; After receiving the discharge risk data, the discharge supervision unit immediately performs discharge performance supervision feedback analysis and progressive information comparison analysis on the discharge risk data, and sends the obtained discharge risk signal to the execution response unit; After receiving the energy storage management evaluation coefficient C, the fusion feedback unit immediately performs an information fusion evaluation operation and sends the obtained low-level management signal and high-level management signal to the execution response unit; The energy storage risk supervision feedback analysis process of the energy storage management unit is as follows: S1: Set a monitoring cycle and set it as a time threshold, obtain the number of full storage times of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold, obtain the portion of the actual maximum energy storage value of each full storage time within the time threshold that is lower than the preset energy storage value, and the proportion of the number of times the product value obtained after data normalization of the unit time energy storage loss value is greater than the preset threshold, and set it as the energy storage damage coefficient. The unit time energy storage loss value represents the amount of self-leakage per unit time of the energy storage device after energy storage is completed; S2: Obtain the energy storage risk value of the energy storage equipment in the photovoltaic energy storage charging station within the time threshold. The energy storage risk value represents the proportion of over-temperature charging times in the total number of energy storage times of the energy storage equipment. The number of over-temperature charging times represents the number of times that the product of the portion of the energy storage equipment charging time that exceeds the preset charging operating temperature and the duration after data normalization is greater than the preset threshold. The energy storage damage coefficient and the energy storage risk value are labeled CS and CF respectively. S3: According to the formula The energy storage management assessment coefficient is obtained, where a1 and a2 are the preset proportional factor coefficients of the energy storage damage coefficient and the energy storage risk value, respectively. Both a1 and a2 are greater than zero. A3 is the preset correction factor coefficient, which is 2.

228. C is the energy storage management assessment coefficient. The energy storage management assessment coefficient C is sent to the fusion feedback unit. At the same time, the energy storage management assessment coefficient C is compared with the preset energy storage management assessment coefficient threshold value stored in the internal input: If the energy storage management evaluation coefficient C is less than the preset energy storage management evaluation coefficient threshold, a feedback instruction is generated; If the energy storage management evaluation coefficient C is greater than or equal to the preset energy storage management evaluation coefficient threshold, an alarm signal is generated; The advance forecast scheduling matching analysis process of the forecast planning unit is as follows: The historical power generation data of the photovoltaic energy storage charging station within the same historical time threshold is obtained. The historical power generation data represents the power generation curve. At the same time, the power generation curve of the photovoltaic energy storage charging station within the current time threshold is obtained. The power generation curve is matched and analyzed with the historical power generation data. The power generation curve with the largest overlap with the power generation curve in the historical power generation data is set as the predicted power generation curve, and then the predicted power generation of the next photovoltaic energy storage charging station is obtained. At the same time, the maximum energy storage value of the photovoltaic energy storage charging station energy storage equipment within the time threshold is obtained, and the part of the predicted power generation that exceeds the maximum energy storage value is set as the planning control evaluation coefficient. The planning control evaluation coefficient is compared and analyzed with the preset planning control evaluation coefficient threshold value stored in its internal input: If the ratio between the planning control evaluation coefficient and the preset planning control evaluation coefficient threshold is less than 1, a low-level scheduling signal is generated; If the ratio between the planning control evaluation coefficient and the preset planning control evaluation coefficient threshold is greater than or equal to 1, an advanced scheduling signal is generated; The discharge performance supervision feedback analysis process of the discharge supervision unit is as follows: T1: Obtain the discharge performance value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The discharge performance value indicates the proportion of the number of times that the ratio between the duration corresponding to the discharge fluctuation amplitude exceeding the preset discharge fluctuation amplitude and the total discharge duration is greater than the preset threshold in the total number of discharges of the energy storage equipment. Compare and analyze the discharge performance value with the stored preset discharge performance value threshold, and set the portion of the discharge performance value greater than the preset discharge performance value threshold as the discharge risk value; T2: Obtain the characteristic evaluation value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold. The characteristic evaluation value represents the ratio between the number of times that the discharge temperature value of the photovoltaic energy storage charging station energy storage equipment exceeds the preset discharge temperature value threshold for two consecutive times and the total number of discharges. Compare and analyze the characteristic evaluation value with the stored preset characteristic evaluation value threshold, and set the part of the characteristic evaluation value that is greater than the preset characteristic evaluation value threshold as the potential risk value; T3: Obtain the operating parameter value of the energy storage equipment of the photovoltaic energy storage charging station within the time threshold, which indicates the ratio of the time corresponding to the discharge power of the photovoltaic energy storage charging station energy storage equipment deviating from the preset discharge power range and the number of times the discharge time is greater than the preset threshold to the total number of discharges; The progressive information comparison and analysis process of the discharge supervision unit is as follows: Compare and analyze the discharge risk value, potential risk value and operating parameter value with the preset discharge risk value threshold, preset potential risk value threshold and preset operating parameter value threshold that are stored internally: If the discharge risk value, the potential risk value and the operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, no signal is generated; If the discharge risk value, potential risk value and operating parameter value are all less than the preset discharge risk value threshold, the preset potential risk value threshold and the preset operating parameter value threshold, a discharge risk signal is generated; The information fusion evaluation operation process of the fusion feedback unit is as follows: The energy storage management evaluation coefficient C within the time threshold is obtained, and the discharge risk value and potential risk value within the time threshold are obtained, and the discharge risk value, potential risk value and operation parameter value are labeled as FD, QF and YC respectively; According to the formula The charge and discharge management evaluation coefficient is obtained, where f1, f2, f3 and f4 are respectively the preset weight factor coefficients of the discharge risk value, potential risk value, operating parameter value and energy storage management evaluation coefficient, f1, f2, f3 and f4 are all greater than zero, f5 is the preset fault tolerance factor coefficient, and its value is 2.871, and R is the charge and discharge management evaluation coefficient. The charge and discharge management evaluation coefficient R is compared and analyzed with the preset charge and discharge management evaluation coefficient threshold value stored in the internal input: If the charge-discharge management evaluation coefficient R is less than or equal to the preset charge-discharge management evaluation coefficient threshold, no instruction is generated; If the charge and discharge management evaluation coefficient R is greater than the preset charge and discharge management evaluation coefficient threshold, an unqualified instruction is generated. When an unqualified instruction is generated, the portion of the charge and discharge management evaluation coefficient R that is greater than the preset charge and discharge management evaluation coefficient threshold is obtained, and the portion is set as the charge and discharge management coefficient, and the charge and discharge management coefficient is compared and analyzed with the preset charge and discharge management coefficient threshold stored internally: If the charge-discharge management coefficient is less than the preset charge-discharge management coefficient threshold, a low-level management signal is generated; if the charge-discharge management coefficient is greater than or equal to the preset charge-discharge management coefficient threshold, a high-level management signal is generated.

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