An intelligent monitoring photovoltaic power generation system

Abstract

The present invention relates to the field of intelligent monitoring technology, and in particular to an intelligent monitoring photovoltaic power generation system, which converts light energy into electrical energy for storage through photovoltaic components and changes the thermal compensation status of the temperature of each area of ​​the energy storage battery according to actual conditions, monitors the temperature of different areas of the energy storage battery and obtains the electrical energy parameters of the energy storage battery through a monitor, stores the historical data monitored by the monitor through a priori analyzer, and distinguishes between severe impact cycles and gentle impact cycles based on temperature impact tendency characterization values ​​corresponding to different temperature impact cycles through a photovoltaic controller, monitors the energy storage battery, determines whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameters meets a predetermined standard, so as to determine whether to enable the thermal compensation device, consider the influence of the temperature difference of the energy storage battery on the energy storage efficiency during the operation of the photovoltaic system, and adaptively intervene in the thermal compensation device, thereby ensuring the energy storage efficiency and power generation efficiency of the photovoltaic system.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring, and in particular to an intelligent monitoring photovoltaic power generation system. Background Art

[0002] With the development of renewable energy, photovoltaic power generation systems have been widely used. However, photovoltaic power generation is intermittent and unstable. In order to ensure the stable supply of electricity, energy storage batteries have become an indispensable part of photovoltaic power generation systems. The temperature of energy storage batteries will change under different use environments and working conditions. In different historical cycles, due to seasonal changes, geographical location, system operation status and other factors, there will be temperature differences in different areas of the energy storage battery. This temperature difference will directly affect the performance of the energy storage battery, such as capacity, charge and discharge efficiency, cycle life, etc. The performance and life of the energy storage battery play a vital role in the reliability and economy of the entire photovoltaic power generation system.

[0003] Chinese patent publication number: CN117650630A, discloses a photovoltaic power generation system. When the system is in operation, the internal operating parameters and external environmental parameters of the photovoltaic cell are collected through the operation collection module and the external environment module to form an operation data group and real-time environmental data. The positioning module marks the relevant data monitored and the photovoltaic cell position information to form a positioning data group. The verification module processes the operation data group and the real-time environmental data group to form a first data set and a second data set. The battery overspeed operation model is established through the data processing module to perform prediction and calculation, and the abnormal level measure response plan is obtained. The feedback execution module is specifically executed to achieve automatic detection and recording of the vacant inspection period of the photovoltaic cell array.

[0004] However, the prior art still has the following problems:

[0005] In the prior art, the problem that the energy storage battery has different properties in different areas of the electrolyte due to the influence of factors such as light angle in different historical periods, thereby affecting the energy storage effect, is not considered. Summary of the invention

[0006] In order to solve the above problems, the present invention provides an intelligent monitoring photovoltaic power generation system, which overcomes the problem in the prior art that the energy storage battery has different properties in different areas of the electrolyte due to the influence of factors such as light angle in different historical periods, thereby affecting the energy storage effect and low energy storage efficiency.

[0007] To achieve the above object, the present invention provides an intelligent monitoring photovoltaic power generation system, comprising:

[0008] A photovoltaic assembly, comprising a photovoltaic panel for converting light energy into electrical energy, an energy storage battery connected to the photovoltaic panel for storing electrical energy, and a thermal compensation device for changing the temperature of each area of ​​the energy storage battery;

[0009] A monitor, comprising a plurality of temperature sensors for monitoring the temperature of different areas of the energy storage battery and the temperature of the photovoltaic panel, and an electric energy monitoring unit for acquiring electric energy parameters of the energy storage battery;

[0010] A priori analyzer, which is used to store historical data monitored by the monitor, to identify the temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, and to analyze the temperature influence tendency characterization value of the energy storage battery in different temperature influence periods based on the change of the electric energy parameter;

[0011] A photovoltaic controller, which is connected to the photovoltaic assembly, the monitor and the priori analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods;

[0012] The control unit monitors the energy storage battery in response to the division result of the clustering unit, including:

[0013] Determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change amount of the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current electric energy loss;

[0014] Or, do not enable thermal compensation.

[0015] Furthermore, the a priori analyzer is used to identify the temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, wherein:

[0016] Used to calculate the variance of the temperature of each area of ​​the energy storage battery in each historical period;

[0017] If the variance corresponding to a single historical period is greater than a predetermined variance threshold, the historical period is determined to be a temperature-affected period.

[0018] Furthermore, the a priori analyzer is used to analyze the temperature influence tendency characterization value corresponding to the energy storage battery in different temperature influence cycles based on the change of the electric energy parameter, including:

[0019] The sum of the ratio of the rate of change of the electric energy storage power to the rate of change threshold and the ratio of the current change rate of the energy storage battery to the current change threshold is used to calculate and is determined as the first historical data feature;

[0020] The ratio of the current change amplitude of the energy storage battery to the current change amplitude threshold is used to calculate and determine as the second historical data feature;

[0021] The sum of the first historical data feature and the second historical data feature is used to calculate and determine as the temperature influence tendency characterization value.

[0022] Furthermore, the clustering unit is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods, including:

[0023] If the temperature impact tendency representation value is greater than or equal to the preset impact tendency representation value, it is determined to be a severe impact period;

[0024] If the temperature influence tendency characterization value is less than the preset influence tendency characterization value, it is determined to be a gentle influence period.

[0025] Furthermore, the control unit responds to the division result of the clustering unit, including:

[0026] If the division result is a severe impact period, then determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change in the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss;

[0027] If the division result is a smooth impact period, the thermal compensation device is not enabled.

[0028] Furthermore, the control unit is used to determine the energy conversion characterization parameters based on the change amount of the photovoltaic panel temperature and the change ratio of the electric energy storage efficiency within a predetermined period, including:

[0029] The ratio of the change amount of the photovoltaic panel temperature to the photovoltaic panel temperature change threshold is used to calculate and determine as the first energy conversion parameter characteristic;

[0030] The ratio of the change in the electric energy storage efficiency of the energy storage battery to the energy storage efficiency change threshold is used to calculate the second energy conversion parameter characteristic;

[0031] The sum of the first energy conversion parameter characteristic and the second energy conversion parameter characteristic is calculated and determined as the energy conversion characterization parameter.

[0032] Furthermore, the control unit is used to predict whether the energy storage effect of the energy storage battery meets the predetermined standard based on the energy conversion characterization parameter, including:

[0033] If the energy conversion characterization parameter is less than or equal to the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery meets the predetermined standard;

[0034] If the energy conversion characterization parameter is greater than the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

[0035] Furthermore, the control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss when it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

[0036] Furthermore, the control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss, including:

[0037] If the power consumption of the thermal compensation device is less than or equal to the current power loss, determining to enable the thermal compensation device;

[0038] If the power consumption of the thermal compensation device is greater than the current power loss, it is determined not to enable the thermal compensation device.

[0039] Furthermore, the present invention also provides an intelligent monitoring photovoltaic power generation system which also includes a display unit connected to each of the monitors to display the data monitored by the monitor.

[0040] Compared with the prior art, the present invention provides an intelligent monitoring photovoltaic power generation system, including photovoltaic components, monitors, a priori analyzers, and photovoltaic controllers. The photovoltaic components convert light energy into electrical energy for storage and change the thermal compensation status of the temperature of each area of ​​the energy storage battery according to actual conditions. The monitor monitors the temperature of different areas of the energy storage battery and obtains the electrical energy parameters of the energy storage battery. The a priori analyzer stores the historical data monitored by the monitor. Moreover, the photovoltaic controller distinguishes between severe impact cycles and gentle impact cycles based on temperature impact tendency characterization values ​​corresponding to different temperature impact cycles, monitors the energy storage battery, determines whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameters meets the predetermined standards, so as to determine whether to enable the thermal compensation device, consider the influence of the temperature difference of the energy storage battery on the energy storage efficiency during the operation of the photovoltaic system, and adaptively intervene in the thermal compensation device, thereby ensuring the energy storage efficiency and power generation efficiency of the photovoltaic system.

[0041] In particular, the present invention can accurately obtain the law of temperature influence on energy storage batteries in different time periods by identifying the temperature influence cycle, and can accurately determine the temperature influence cycle of the historical period by calculating the variance of the temperature of each area of ​​the energy storage battery in each historical period. Moreover, the temperature influence tendency characterization value of the energy storage battery in different temperature influence cycles can be accurately analyzed through the change of electric energy parameters, thereby improving the efficiency of the energy storage battery.

[0042] In particular, the present invention can determine energy conversion characterization parameters through the change in photovoltaic panel temperature and the change ratio of electric energy storage efficiency, thereby improving the accuracy of the energy storage effect of the energy storage battery. The energy storage effect of the energy storage battery can be predicted through the energy conversion characterization parameters, and whether the performance of the energy storage battery will decline can be predicted in advance, thereby reducing the occurrence of a decrease in storage efficiency of the energy storage battery due to the influence of the temperature influence cycle, and improving the stability and energy storage efficiency of the energy storage battery.

[0043] In particular, the present invention can distinguish between severe impact periods and gentle impact periods through temperature impact tendency characterization values ​​corresponding to different temperature impact periods, thereby improving energy utilization efficiency. Moreover, by determining whether a thermal compensation device is enabled for the energy storage battery, the energy utilization efficiency is further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a structural block diagram of an intelligent monitoring photovoltaic power generation system according to an embodiment of the present invention;

[0045] Figure 2 A logic decision diagram for identifying a temperature influence period according to an embodiment of the present invention;

[0046] Figure 3 A logic decision diagram for analyzing the temperature influence tendency characterization value of the energy storage battery according to an embodiment of the present invention;

[0047] Figure 4 This is a logic decision diagram for distinguishing between a severe impact period and a mild impact period according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0050] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0051] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0052] See also Figure 1 As shown, it is a structural block diagram of an intelligent monitoring photovoltaic power generation system according to an embodiment of the present invention. The present invention provides an intelligent monitoring photovoltaic power generation system, including:

[0053] A photovoltaic assembly, comprising a photovoltaic panel for converting light energy into electrical energy, an energy storage battery connected to the photovoltaic panel for storing electrical energy, and a thermal compensation device for changing the temperature of each area of ​​the energy storage battery;

[0054] A monitor, comprising a plurality of temperature sensors for monitoring the temperature of different areas of the energy storage battery and the temperature of the photovoltaic panel, and an electric energy monitoring unit for acquiring electric energy parameters of the energy storage battery;

[0055] A priori analyzer, which is used to store historical data monitored by the monitor, to identify the temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, and to analyze the temperature influence tendency characterization value of the energy storage battery in different temperature influence periods based on the change of the electric energy parameter;

[0056] A photovoltaic controller, which is connected to the photovoltaic assembly, the monitor and the priori analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods;

[0057] The control unit monitors the energy storage battery in response to the division result of the clustering unit, including:

[0058] Determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change amount of the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current electric energy loss;

[0059] Or, do not enable thermal compensation.

[0060] Specifically, the system includes photovoltaic components, monitors, a priori analyzers, and photovoltaic controllers. The photovoltaic components convert light energy into electrical energy for storage and change the thermal compensation status of the temperature of each area of ​​the energy storage battery according to actual conditions. The monitor monitors the temperature of different areas of the energy storage battery and obtains the electrical energy parameters of the energy storage battery. The a priori analyzer stores the historical data monitored by the monitor. Moreover, the photovoltaic controller distinguishes between severe impact cycles and gentle impact cycles based on temperature impact tendency characterization values ​​corresponding to different temperature impact cycles, monitors the energy storage battery, and determines whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameters meets the predetermined standards, so as to determine whether to enable the thermal compensation device, consider the impact of the temperature difference of the energy storage battery on the energy storage efficiency during the operation of the photovoltaic system, and adaptively intervene in the thermal compensation device, thereby ensuring the energy storage efficiency and power generation efficiency of the photovoltaic system.

[0061] Specifically, the present invention is applied to small photovoltaic modules. Common photovoltaic modules include photovoltaic panels and energy storage batteries. The energy storage batteries are usually installed on the back of the photovoltaic panels. Due to sunlight exposure, there are differences on both sides of the energy storage batteries. In addition, in some cases, there may be certain temperature differences in different areas.

[0062] Specifically, there is no specific limitation on the structure of the monitor, the a priori analyzer, the photovoltaic controller itself and each unit therein, and they can be composed of logic components, and the logic components include a field programmable processor, a computer or a microprocessor in a computer.

[0063] Specifically, the form of the thermal compensation device is not limited, and it can be liquid-cooled or air-cooled. For example, a small cooling fan is set on the energy storage battery to dissipate heat from the energy storage battery. Other forms can also be used, which will not be repeated here.

[0064] Specifically, there is no specific limitation on the location of the temperature sensor, and the temperature sensor can be set in different areas on both sides of the energy storage battery, which will not be elaborated here.

[0065] Specifically, the electric energy detection unit may be a logical component for acquiring information, for example, it may be connected to a battery management system to acquire relevant parameters, which will not be described in detail.

[0066] See also Figure 2 The above is a logic decision diagram for identifying a temperature influence period in an embodiment of the present invention. The a priori analyzer of the present invention is used to identify a temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, wherein:

[0067] Used to calculate the variance of the temperature of each area of ​​the energy storage battery in each historical period;

[0068] If the variance corresponding to a single historical period is less than or equal to a predetermined variance threshold, the historical period is determined to be a non-temperature-affected period;

[0069] If the variance corresponding to a single historical period is greater than a predetermined variance threshold, the historical period is determined to be a temperature-affected period.

[0070] Specifically, the variance threshold is determined based on the average variance of the temperatures obtained in several historical periods, and is set to be between 1.15 and 1.3 times the average variance.

[0071] Specifically, in order to reflect the monitorability of temperature changes and their impact on the battery, the historical period is selected in the interval [2h, 4h].

[0072] See also Figure 3 As shown, it is a logical decision diagram for analyzing the temperature influence tendency characterization value of the energy storage battery according to an embodiment of the present invention. The a priori analyzer of the present invention is used to analyze the temperature influence tendency characterization value corresponding to the energy storage battery in different temperature influence cycles based on the change of the electric energy parameter, including:

[0073] The sum of the ratio of the rate of change of the electric energy storage power to the rate of change threshold and the ratio of the current change rate of the energy storage battery to the current change threshold is used to calculate and is determined as the first historical data feature;

[0074] The ratio of the current change amplitude of the energy storage battery to the current change amplitude threshold is used to calculate and determine as the second historical data feature;

[0075] The sum of the first historical data feature and the second historical data feature is used to calculate and determine as the temperature influence tendency characterization value.

[0076] Specifically, the rate of change of electric energy storage power reflects the change in the efficiency of energy storage batteries in storing electric energy under different temperature influence cycles. The change rate threshold is a reference value used to measure whether the degree of such change is significant. In implementation, it is set to the average change rate of electric energy over several historical cycles. By calculating the ratio, the change rate can be standardized, which is convenient for comparison and comprehensive analysis with other characteristics.

[0077] Specifically, the ratio of the current change rate to the current change threshold is similar. The change of current will also be affected by temperature. This ratio can reflect the degree of influence of temperature on the current change. The current change threshold is set to the average value of the current change rate in several historical cycles during implementation. The sum of these two ratios is taken as the first historical data feature, which comprehensively considers the changes of two important electrical energy parameters, storage power and current, under different temperature influence cycles.

[0078] Specifically, the current change amplitude reflects the fluctuation size of the current under different temperature influence cycles. The current change amplitude threshold is a reference value for judging whether the current fluctuation is significant. The current change amplitude threshold is set as the average current change amplitude in several historical cycles in implementation. The calculation ratio can standardize the current change amplitude and obtain a characteristic value that can reflect the degree of influence of temperature on current fluctuation.

[0079] Specifically, the temperature influence tendency characterization value is obtained by adding the first historical data feature and the second historical data feature. This value combines the temperature influence of multiple power parameters such as storage power change, current change rate and current change amplitude under different temperature influence cycles, and can more comprehensively reflect the temperature influence tendency of the energy storage battery under a specific temperature influence cycle.

[0080] Specifically, by analyzing multiple electrical energy parameters, the impact of temperature on energy storage batteries can be more accurately assessed. Different electrical energy parameters reflect the performance changes of batteries from different angles. Comprehensive consideration of these parameters can reduce the limitations of single parameter evaluation and provide more comprehensive and accurate temperature impact assessment results.

[0081] See also Figure 4 As shown, it is a logical decision diagram for distinguishing between severe impact periods and gentle impact periods in an embodiment of the present invention. The clustering unit of the present invention is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods, including:

[0082] If the temperature impact tendency representation value is greater than or equal to the preset impact tendency representation value, it is determined to be a severe impact period;

[0083] If the temperature influence tendency characterization value is less than the preset influence tendency characterization value, it is determined to be a gentle influence period.

[0084] Specifically, the preset impact tendency characterization value, as a key judgment criterion, plays the role of dividing the severe impact period and the gentle impact period. In implementation, the preset impact tendency characterization value is selected within the range of [3.25,3.50].

[0085] Specifically, when the temperature impact tendency characterization value is greater than or equal to the preset impact tendency characterization value, it is determined to be a severe impact cycle. It means that during this cycle, the impact of temperature on the energy storage battery is more significant, which may cause a large change in battery performance. Preferably, there are differences in the properties of the electrolyte in each region, and the electrolyte capacity in each region leads to reduced charging and discharging efficiency, or rapid temperature changes may cause stress changes inside the battery, affecting the battery life and safety.

[0086] Specifically, if the temperature impact tendency characterization value is less than the preset impact tendency characterization value, it is determined to be a gentle impact period. During this period, the impact of temperature on the energy storage battery is relatively small, and the battery performance changes relatively slowly. At this time, the battery can work in a relatively stable state, and performance indicators such as charging and discharging efficiency and life are relatively stable.

[0087] Specifically, the control unit responds to the division result of the clustering unit, including:

[0088] If the division result is a severe impact period, then determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change in the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss;

[0089] If the division result is a smooth impact period, the thermal compensation device is not enabled.

[0090] Specifically, during the period of severe impact, temperature has a greater impact on energy storage batteries. By monitoring the change in the temperature of the photovoltaic panel, we can understand the degree of impact of changes in the external ambient temperature on the photovoltaic system. At the same time, the change ratio of the energy storage efficiency reflects the performance changes of the energy storage battery under different temperature conditions. Combining these two parameters to determine the energy conversion characterization parameters can more comprehensively evaluate the impact of temperature on the entire photovoltaic energy storage system.

[0091] Specifically, when the temperature of the photovoltaic panel rises sharply, it may cause the output voltage and current of the photovoltaic cell to change, which in turn affects the charging efficiency of the energy storage battery. By analyzing the change ratio of temperature change and energy storage efficiency, it is possible to predict whether the energy storage effect of the energy storage battery meets the predetermined standard under such drastic temperature changes.

[0092] Specifically, during the period of severe impact, the cost and benefit of using thermal compensation devices need to be considered. The power consumption of thermal compensation devices is an important consideration. If the power consumption caused by enabling thermal compensation devices is too high, it may cause the efficiency of the entire system to decrease. At the same time, the current power loss needs to be considered. If the power loss is large, it may be necessary to enable thermal compensation devices to reduce the power loss caused by temperature effects.

[0093] Specifically, if the power consumption of the thermal compensation device is high and the current power loss is relatively small, the thermal compensation device may not be enabled, but other measures may be taken, such as adjusting the angle of the photovoltaic panel or reducing the charge and discharge power of the energy storage battery, to reduce the impact of temperature on the system. On the contrary, if the power loss is large and the power consumption of the thermal compensation device is within an acceptable range, the thermal compensation device may be enabled to improve the stability and reliability of the system.

[0094] Specifically, the control unit is used to determine the energy conversion characterization parameters based on the change amount of the photovoltaic panel temperature and the change ratio of the electric energy storage efficiency within a predetermined period, including:

[0095] The ratio of the change amount of the photovoltaic panel temperature to the photovoltaic panel temperature change threshold is used to calculate and determine as the first energy conversion parameter characteristic;

[0096] The ratio of the change in the electric energy storage efficiency of the energy storage battery to the energy storage efficiency change threshold is used to calculate the second energy conversion parameter characteristic;

[0097] The sum of the first energy conversion parameter characteristic and the second energy conversion parameter characteristic is calculated and determined as the energy conversion characterization parameter.

[0098] To reflect the temperature difference, the PV panel temperature change threshold is set based on the average temperature value of the PV panel in the historical period, and is set between 0.25 and 0.35 times the average temperature value.

[0099] The change in electric energy storage efficiency is set based on the average electric energy storage efficiency of the energy storage battery in the historical period, and is set between 0.15 times and 0.5 times the average electric energy storage efficiency.

[0100] Specifically, the change in the energy storage efficiency of the energy storage battery reflects the performance change of the energy storage battery under different temperature conditions. Preferably, when the temperature difference is large, the energy storage efficiency decreases. The larger the change, the more significant the impact on the performance of the energy storage battery.

[0101] Specifically, the energy conversion characterization parameter is obtained by adding the first energy conversion parameter characteristic and the second energy conversion parameter characteristic. This parameter comprehensively considers the impact of the temperature change of the photovoltaic panel and the change of the energy storage efficiency of the energy storage battery on the energy conversion of the entire system. Preferably, if both characteristic values ​​are large, it means that the temperature change of the photovoltaic panel and the performance change of the energy storage battery have a greater impact on the energy conversion, and the energy conversion characterization parameter will also be large; if both characteristic values ​​are small, it means that the temperature change and performance change have little impact on the energy conversion, and the energy conversion characterization parameter will also be small.

[0102] Specifically, the control unit is used to predict whether the energy storage effect of the energy storage battery meets the predetermined standard based on the energy conversion characterization parameter, including:

[0103] If the energy conversion characterization parameter is less than or equal to the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery meets the predetermined standard;

[0104] If the energy conversion characterization parameter is greater than the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

[0105] Specifically, the preset energy conversion characterization parameter is used as a key reference value for judging whether the energy storage effect of the energy storage battery meets the predetermined standard, and is determined comprehensively based on factors such as the design performance of the energy storage battery, historical operation data, and the system's requirements for energy storage effect. Preferably, a value that can distinguish whether the energy storage effect meets the standard is determined by conducting a large number of analyses on the energy conversion of the same type of energy storage batteries under different working conditions.

[0106] Specifically, when the energy conversion characterization parameter is less than or equal to the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery meets the predetermined standard. It means that under the current operating conditions, the energy conversion reflected by the temperature change of the photovoltaic panel and the change of the energy storage battery's electrical energy storage efficiency is within an acceptable range, and the energy storage battery can store energy according to the expected performance requirements. Preferably, the temperature change of the photovoltaic panel is relatively small, and the impact on the energy storage battery is not significant. At the same time, the electrical energy storage efficiency of the energy storage battery is also maintained at a high level, which can meet the system's requirements for energy storage capacity and efficiency.

[0107] Specifically, if the energy conversion characterization parameter is greater than the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard. This means that the current energy conversion situation exceeds the acceptable range. This may be due to the excessively high or drastic temperature changes of the photovoltaic panel, which has a significant impact on the performance of the energy storage battery and a decrease in the energy storage efficiency, thus failing to meet the predetermined energy storage effect requirements, increasing energy losses during charging and discharging, and reducing energy storage capacity and efficiency.

[0108] Specifically, the control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss when it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

[0109] Specifically, in a photovoltaic energy storage system, when the predicted energy storage effect of the energy storage battery does not meet the predetermined standards, consider taking measures to improve the situation. A thermal compensation device is a possible solution, but it also consumes electricity. Therefore, it is necessary to comprehensively evaluate the power consumption of the thermal compensation device and the current power loss to determine whether enabling the thermal compensation device can improve the performance of the system as a whole.

[0110] Specifically, the control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss, including:

[0111] If the power consumption of the thermal compensation device is less than or equal to the current power loss, determining to enable the thermal compensation device;

[0112] If the power consumption of the thermal compensation device is greater than the current power loss, it is determined not to enable the thermal compensation device.

[0113] Specifically, it also includes a display unit, which is connected to each of the monitors and is used to display the data monitored by the monitor.

[0114] Specifically, the display unit is connected to each monitor and can display the data monitored by the monitor in real time. This is crucial for the operation and management of the photovoltaic power generation system. Preferably, the user can understand the output power of the photovoltaic panel, the power of the energy storage battery, the temperature and other key parameters at any time through the display unit. In practical applications, the operator can intuitively see the current status of the system, detect abnormal conditions in time and take corresponding measures.

[0115] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An intelligent monitoring photovoltaic power generation system, characterized in that: include: A photovoltaic assembly, comprising a photovoltaic panel for converting light energy into electrical energy, an energy storage battery connected to the photovoltaic panel for storing electrical energy, and a thermal compensation device for changing the temperature of each area of ​​the energy storage battery; A monitor, comprising a plurality of temperature sensors for monitoring the temperature of different areas of the energy storage battery and the temperature of the photovoltaic panel, and an electric energy monitoring unit for acquiring electric energy parameters of the energy storage battery; A priori analyzer, which is used to store historical data monitored by the monitor, to identify the temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, and to analyze the temperature influence tendency characterization value of the energy storage battery in different temperature influence periods based on the change of the electric energy parameter; A photovoltaic controller, which is connected to the photovoltaic assembly, the monitor and the priori analyzer respectively, and includes a clustering unit and a control unit, wherein the clustering unit is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods; The control unit monitors the energy storage battery in response to the division result of the clustering unit, including: Determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change amount of the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current electric energy loss; The a priori analyzer is used to identify the temperature influence period based on the temperature difference of each area of ​​the energy storage battery in different historical periods, wherein: Used to calculate the variance of the temperature of each area of ​​the energy storage battery in each historical period; If the variance corresponding to a single historical period is greater than a predetermined variance threshold, the historical period is determined to be a temperature-affected period; The a priori analyzer is used to analyze the temperature influence tendency characterization value corresponding to the energy storage battery in different temperature influence cycles based on the change of the electric energy parameter, including: The sum of the ratio of the change rate of the electric energy storage power to the change rate threshold and the ratio of the current change rate of the energy storage battery to the current change threshold is used to calculate and is determined as the first historical data feature; The ratio of the current change amplitude of the energy storage battery to the current change amplitude threshold is used to calculate and determine as the second historical data feature; The sum of the first historical data feature and the second historical data feature is used to calculate and determine as the temperature influence tendency characterization value.

2. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: The clustering unit is used to distinguish between severe impact periods and gentle impact periods based on temperature impact tendency characterization values ​​corresponding to different temperature impact periods. include, If the temperature impact tendency representation value is greater than or equal to the preset impact tendency representation value, it is determined to be a severe impact period; If the temperature influence tendency characterization value is less than the preset influence tendency characterization value, it is determined to be a gentle influence period.

3. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: The control unit responds to the division result of the clustering unit, including: If the division result is a severe impact period, then determine whether the energy storage effect of the energy storage battery predicted by the energy conversion characterization parameter meets the predetermined standard based on the change in the temperature of the photovoltaic panel and the change ratio of the electric energy storage efficiency within the predetermined period, and determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss; If the division result is a smooth impact period, the thermal compensation device is not enabled.

4. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: The control unit is used to determine the energy conversion characterization parameter based on the change amount of the photovoltaic panel temperature and the change ratio of the electric energy storage efficiency within a predetermined period, including: The ratio of the change amount of the photovoltaic panel temperature to the photovoltaic panel temperature change threshold is used to calculate and determine as the first energy conversion parameter characteristic; The ratio of the change in the electric energy storage efficiency of the energy storage battery to the energy storage efficiency change threshold is used to calculate the second energy conversion parameter characteristic; The sum of the first energy conversion parameter characteristic and the second energy conversion parameter characteristic is calculated and determined as the energy conversion characterization parameter.

5. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: The control unit is used to predict whether the energy storage effect of the energy storage battery meets the predetermined standard based on the energy conversion characterization parameter, including: If the energy conversion characterization parameter is less than or equal to the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery meets the predetermined standard; If the energy conversion characterization parameter is greater than the preset energy conversion characterization parameter, it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

6. The intelligent monitoring photovoltaic power generation system according to claim 5, characterized in that: The control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss when it is predicted that the energy storage effect of the energy storage battery does not meet the predetermined standard.

7. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: The control unit is used to determine whether to enable the thermal compensation device based on the power consumption of the thermal compensation device and the current power loss, include, If the power consumption of the thermal compensation device is less than or equal to the current power loss, determining to enable the thermal compensation device; If the power consumption of the thermal compensation device is greater than the current power loss, it is determined not to enable the thermal compensation device.

8. The intelligent monitoring photovoltaic power generation system according to claim 1, characterized in that: It also includes a display unit, which is connected to each of the monitors and is used to display the data monitored by the monitor.

Images