Photovoltaic power generation mechanism adjusting and monitoring device and method

Abstract

The invention discloses a photovoltaic power generation mechanism adjustment monitoring device and method, and particularly relates to the technical field of photovoltaic power generation mechanism monitoring adjustment, and the device comprises an energy storage battery selection module, an energy storage battery monitoring module, a power generation mechanism monitoring module, a load prediction scheduling module, a remote display early warning module and a database. According to the invention, the environment where the photovoltaic power generation mechanism is located and the performance of each type of energy storage battery are analyzed and evaluated, the target type of the energy storage battery of the photovoltaic power generation mechanism is obtained, the resource utilization rate of the photovoltaic power generation mechanism is improved, and the failure rate of the energy storage battery in the practical application process is reduced. And efficient and stable operation of the photovoltaic power generation mechanism is ensured. According to each historical data, the load demand electricity consumption and the predicted generating capacity in different time periods are predicted, the balance stability of load power supply is improved, and the real-time scheduling of the load power supply demand under the actual condition is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation mechanism regulation and monitoring, and in particular to a photovoltaic power generation mechanism regulation and monitoring device and method. Background Art

[0002] With the increasing global demand for renewable energy, photovoltaic power generation, as a green energy source, has gained widespread application. Energy storage batteries are playing an increasingly important role in photovoltaic power generation systems, particularly in distributed photovoltaic power generation and large-scale photovoltaic power plants. Energy storage systems can effectively improve the stability, reliability, and economic efficiency of photovoltaic power generation. The scientific selection and design of energy storage batteries can effectively address the intermittent and fluctuating nature of photovoltaic power generation, optimize power supply, and improve overall system efficiency. Therefore, regulating and monitoring photovoltaic power generation systems is essential.

[0003] Existing technology, such as the invention patent application CN117713383B, discloses a photovoltaic microgrid control system comprising a parameter acquisition module, a connection control module, and an optimization scheduling module. This invention optimizes the scheduling and management of the photovoltaic microgrid system by monitoring and analyzing operating parameters such as power, voltage, and current in photovoltaic power generation equipment, rationally allocating available electrical energy according to the needs of load devices to ensure that each load device receives sufficient power. The invention also regulates the output of the photovoltaic microgrid: the connection control module monitors the current and voltage between the photovoltaic microgrid and the power grid, and dynamically adjusts the output current and voltage of the photovoltaic microgrid when current and voltage fluctuate to maintain stable grid operation. The invention also controls the charging and discharging of energy storage batteries: the module monitors the status of the energy storage battery pack and controls charging and discharging according to system requirements, while dynamically adjusting the charging and discharging strategy to maximize the energy storage capacity of the energy storage battery pack.

[0004] Existing technology, such as the invention patent application CN104934999B, discloses a photovoltaic power generation control method, device, and photovoltaic power generation system. The method includes: obtaining current operating data of the load in the photovoltaic power generation system; determining multiple target powers based on the current operating data, wherein the multiple target powers are the sum of the powers of each type of load in multiple different types; determining the minimum capacity of the energy storage battery in the photovoltaic power generation system based on the multiple target powers; configuring the energy storage battery to have the minimum capacity; and controlling the energy storage battery to receive or output electrical energy. This invention solves the problem of slow load response of the photovoltaic power generation system due to the failure to consider actual operating data under load fluctuations when controlling the operation of photovoltaic power generation.

[0005] In combination with the above scheme, it is found that the existing technology in the field of photovoltaic power generation mechanism regulation and monitoring technology has ignored the selection and design of energy storage batteries on the one hand. The photovoltaic power generation mechanism stores excess power generation in batteries, and the photovoltaic power generation mechanism is in different environments, resulting in certain differences in the performance of the energy storage battery. The correct selection of the appropriate type of energy storage battery is ignored, resulting in poor energy storage effect, waste of power generation resources, reduced power supply efficiency, and increased failure rate and safety risks of energy storage batteries during use. On the other hand, the existing technology ignores the prediction of the actual power generation of the photovoltaic power generation mechanism and the load demand power consumption, and ignores the real-time scheduling of the load by the three power supply methods of photovoltaic power generation mechanism, battery energy storage and power grid, resulting in the inability to make rapid switching during time periods with large load demand, resulting in unstable power supply to the load, reducing the stability and balance of load power consumption, and making it difficult to meet actual production needs. Summary of the Invention

[0006] The purpose of the present invention is to provide a photovoltaic power generation mechanism adjustment and monitoring device and method, which solves the problems existing in the background technology.

[0007] To solve the above-mentioned technical problems, the first aspect of the present invention provides a photovoltaic power generation mechanism adjustment and monitoring device, which includes: an energy storage battery selection module, which is used to obtain historical environmental data of the area where the photovoltaic power generation mechanism is located, various design requirement parameters of the photovoltaic power generation mechanism's energy storage batteries, and various data on suitable environments for various types of energy storage batteries, calculate the adaptation index of various types of energy storage batteries, and screen out the target type of energy storage batteries for the photovoltaic power generation mechanism.

[0008] The energy storage battery combination design module is used to obtain the expected daily power generation of the photovoltaic power generation mechanism, the expected daily power demand of the load, and the working parameters of the target type of energy storage batteries of the photovoltaic power generation mechanism, and design the combination of the target type of energy storage batteries of the photovoltaic power generation mechanism.

[0009] The power generation mechanism monitoring module is used to obtain the working parameters of the photovoltaic power generation mechanism during the monitoring period, evaluate the working status risk level of the photovoltaic power generation mechanism, obtain the environmental parameters of the photovoltaic power generation mechanism during the monitoring period, and evaluate the environmental risk level of the photovoltaic power generation mechanism.

[0010] The load forecasting and scheduling module is used to obtain meteorological data within the future forecast period and schedule the power supply mode of the photovoltaic power generation organization to the load.

[0011] The remote display warning module is used to send the working status risk level and environmental risk level of the photovoltaic power generation mechanism to the remote terminal for display through the communication equipment.

[0012] The second aspect of the present invention provides a method for regulating and monitoring a photovoltaic power generation mechanism, the method comprising: step 1, obtaining various design requirement parameters of the energy storage battery of the photovoltaic power generation mechanism, calculating the adaptation index of each type of energy storage battery, and evaluating to obtain the target type of the energy storage battery of the photovoltaic power generation mechanism.

[0013] Step 2: Obtain the estimated daily power generation of the photovoltaic power generation mechanism, the estimated daily power demand of the load, and the operating parameters of the target type of energy storage battery of the photovoltaic power generation mechanism, and design a combination of energy storage batteries.

[0014] Step 3: Obtain the working parameters of the photovoltaic power generation mechanism during the monitoring period, calculate the working state risk coefficient of the photovoltaic power generation mechanism, and evaluate the working state risk level of the photovoltaic power generation mechanism.

[0015] Step 4: Obtain the environmental parameters of the photovoltaic power generation facility during the monitoring period, calculate the environmental risk coefficient of the photovoltaic power generation facility, and evaluate the environmental risk level of the photovoltaic power generation facility.

[0016] Step 5: Obtain meteorological data within the future forecast period and dispatch the photovoltaic power generation organization to supply power to the load.

[0017] Compared with the existing technology, the benefits of the present invention are as follows: First, the present invention analyzes the environment in which the photovoltaic power generation mechanism is located and the performance of various types of energy storage batteries, and then evaluates the quality compliance index of various types of energy storage batteries to obtain the target type of energy storage battery for the photovoltaic power generation mechanism, thereby effectively improving the full utilization of power generation resources during the actual use of energy storage batteries, improving the resource utilization rate of the photovoltaic power generation mechanism and reducing the failure rate of energy storage batteries during actual application, thereby ensuring the efficient and stable operation of the photovoltaic power generation mechanism.

[0018] 2. The present invention determines the energy storage capacity requirement of the photovoltaic power generation mechanism based on the expected power generation of the photovoltaic power generation mechanism, the predicted power demand of the load and the operating parameters of the energy storage battery, thereby designing a combination of target types of energy storage batteries for the photovoltaic power generation system, which can fully utilize the performance of the energy storage battery, ensure the performance stability and resource utilization of the energy storage battery during actual use, and improve the safety and reliability of the photovoltaic power generation mechanism.

[0019] 3. The present invention monitors and analyzes various environmental parameters and working parameters during the operation of the photovoltaic power generation mechanism, timely discovers potential risks in the operation of the photovoltaic power generation mechanism, effectively avoids potential failures of the photovoltaic power generation mechanism, reduces the failure rate during the actual operation of the photovoltaic power generation mechanism, and realizes early warning and troubleshooting of the photovoltaic power generation mechanism.

[0020] 4. The present invention enables photovoltaic power generation mechanisms to predict load power consumption and expected power generation in different time periods based on historical data, and intelligently adjusts the power supply mode of the load within the predicted time period, thereby ensuring the stability of power supply of photovoltaic power generation mechanisms under different load demands, improving the balanced stability of load power supply, ensuring real-time scheduling of load power supply demands under actual conditions, and meeting the self-regulation requirements of photovoltaic power generation mechanisms. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 This is a structural connection diagram of the device of the present invention; Figure 2 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0024] For ease of understanding, some professional terms used in the present invention are explained below: Cycle life refers to the number of times a battery can be charged and discharged under normal use conditions. When the battery capacity drops to a certain percentage of its original capacity (usually 80%), the battery's service life is considered to have ended. Cycle life is a key indicator for evaluating battery durability and long-term economic benefits.

[0025] Depth of discharge refers to the ratio of the electrical energy released by the battery to the total capacity of the battery when the battery starts discharging from a fully charged state until it discharges to a certain voltage or capacity level in a charge and discharge cycle.

[0026] Charge and discharge efficiency refers to the efficiency of energy conversion of the battery during the charging and discharging process. It measures the ratio between the energy input during charging and the energy output during discharging, and is usually expressed as a percentage.

[0027] Grid-connected frequency refers to the requirement that the current output by the photovoltaic power generation system be consistent with the frequency of the grid's alternating current. When the photovoltaic power generation system is connected to the grid, the inverter needs to convert the direct current generated by the energy storage battery panels into alternating current and synchronize its frequency with the grid's frequency to ensure that the power can be stably connected to the grid.

[0028] Example 1 Reference Figure 1 As shown, the first aspect of the present invention provides a photovoltaic power generation mechanism adjustment and monitoring device, which includes: an energy storage battery selection module, which is used to obtain historical environmental data of the area where the photovoltaic power generation mechanism is located, various design requirement parameters of the energy storage battery of the photovoltaic power generation mechanism, and various data on suitable environments of various types of energy storage batteries, calculate the adaptation index of various types of energy storage batteries, and screen the target type of energy storage batteries for the photovoltaic power generation mechanism.

[0029] The energy storage battery combination design module is used to obtain the expected daily power generation of the photovoltaic power generation mechanism, the expected daily power demand of the load, and the working parameters of the target type of energy storage batteries of the photovoltaic power generation mechanism, and design the combination of the target type of energy storage batteries of the photovoltaic power generation mechanism.

[0030] The power generation mechanism monitoring module is used to obtain the working parameters of the photovoltaic power generation mechanism during the monitoring period, evaluate the working status risk level of the photovoltaic power generation mechanism, obtain the environmental parameters of the photovoltaic power generation mechanism during the monitoring period, and evaluate the environmental risk level of the photovoltaic power generation mechanism.

[0031] The load forecasting and scheduling module is used to obtain meteorological data within the future forecast period and schedule the power supply mode of the photovoltaic power generation organization to the load.

[0032] The remote display warning module is used to send the working status risk level and environmental risk level of the photovoltaic power generation mechanism to the remote terminal for display through the communication equipment.

[0033] The database is used to store various historical environmental data of the area where the photovoltaic power generation mechanism is located, suitable intervals of various environmental data, various design requirement parameters of energy storage batteries, various actual performance parameters of various types of energy storage batteries, the pre-designed power generation power of the photovoltaic power generation mechanism, the load demand power, the daily average sunshine duration and the expected daily usage duration of the load, the redundant working days and redundancy coefficient of the energy storage battery, the working voltage of the photovoltaic power generation mechanism, the standard intervals of various working parameters of the photovoltaic power generation mechanism, the working status risk intervals and environmental risk intervals, the normal working parameter intervals and normal environmental parameter intervals of the photovoltaic power generation mechanism, the suitable intervals of various meteorological data of the photovoltaic power generation mechanism, the power generation in each historical time period, and the load demand power.

[0034] It should be noted that, in a specific embodiment, the photovoltaic power generation mechanism adjustment and monitoring device includes: an energy storage battery selection module, an energy storage battery combination design module, a power generation mechanism monitoring module, a load forecasting and scheduling module, a remote display and early warning module and a database, wherein the energy storage battery selection module is connected to the energy storage battery combination design module, the energy storage battery combination design module is connected to the power generation mechanism monitoring module, the power generation mechanism monitoring module is connected to the load forecasting and scheduling module, the load forecasting and scheduling module is connected to the remote display and early warning module, and the database is connected to the energy storage battery selection module, the energy storage battery combination design module, the power generation mechanism monitoring module and the load forecasting and scheduling module.

[0035] In a specific embodiment of the present invention, the adaptation index of each type of energy storage battery is calculated to screen the target type of energy storage battery for the photovoltaic power generation mechanism. The specific analysis method is: using the formula: , calculate the adaptation index of each type of energy storage battery ,in Indicates the environmental compliance coefficient of each type of energy storage battery, Indicates the performance compliance coefficient of various types of energy storage batteries.

[0036] Based on the adaptation index of each type of energy storage battery, the target type of energy storage battery for the photovoltaic power generation mechanism is screened.

[0037] It should be noted that, in a specific embodiment, based on the adaptation index of each type of energy storage battery, an ascending order arrangement operation is performed, and the energy storage battery of the type corresponding to the largest quality compliance coefficient is selected as the target type of the energy storage battery of the photovoltaic power generation mechanism. If there are multiple target types of energy storage batteries for the photovoltaic power generation mechanism with equal quality coefficients, secondary matching is performed according to a secondary parameter comparison method pre-set by technical personnel. The secondary parameter comparison method compares the target type of the energy storage battery for the photovoltaic power generation mechanism according to the priority of the cycle life, discharge depth and charge and discharge efficiency, and obtains the target type of the energy storage battery for the photovoltaic power generation mechanism.

[0038] In a specific embodiment of the present invention, the environmental compliance coefficient of each type of energy storage battery is analyzed by extracting historical environmental data of the region where the photovoltaic power generation mechanism is located from the database. The historical environmental data include: temperature change range , humidity change range , altitude and light intensity variation range .

[0039] It should be noted that, in a specific embodiment, the temperature change range of the area where the photovoltaic power generation mechanism is located is based on the temperature data of each historical monitoring, and the maximum and minimum temperature values ​​are statistically calculated to form a temperature change range. According to the analysis method of the temperature change range, the humidity change range and the light intensity change range are obtained.

[0040] It should be noted that, in a specific embodiment, the temperature is collected by a temperature sensor, the humidity is collected by a humidity sensor, the light intensity is collected by a light sensor, and the altitude is measured and obtained by a laser ranging method.

[0041] By formula: , calculate the first The humidity of each type of energy storage battery meets the judgment value ,in , Indicates the number of each type of energy storage battery, Indicates the total number of energy storage battery types, Represents the first Suitable humidity range for different types of energy storage batteries.

[0042] Through the A calculation method for the humidity compliance judgment value of each type of energy storage battery is provided to obtain the humidity compliance judgment value of each type of energy storage battery.

[0043] According to the calculation method of the humidity compliance judgment value of each type of energy storage battery, the temperature compliance judgment value of each type of energy storage battery is obtained. , the altitude meets the judgment value and light intensity meet the judgment value .

[0044] By formula: , calculate the environmental compliance coefficient of each type of energy storage battery ,in is a natural constant.

[0045] In a specific embodiment of the present invention, the performance of each type of energy storage battery meets the coefficient, and the specific analysis method is: extract the design requirements of the energy storage battery of the photovoltaic power generation mechanism from the database, and the design requirements include: cycle life , discharge depth and charge and discharge efficiency .

[0046] By formula: , calculate the first The performance compliance coefficient of each type of energy storage battery ,in , Represents the first The actual cycle life of each type of energy storage battery, Represents the first The actual discharge depth of each type of energy storage battery, Represents the first The actual charge and discharge efficiency of each type of energy storage battery.

[0047] It should be noted that, in a specific embodiment, the actual cycle life, actual discharge depth, and actual charge and discharge efficiency of each type of energy storage battery are obtained from the parameter specifications of each type of energy storage battery.

[0048] According to the The calculation method of the performance compliance coefficient of each type of energy storage battery is analyzed on the actual working parameters of each type of energy storage battery to obtain the performance compliance coefficient of each type of energy storage battery. .

[0049] The present invention analyzes the environment in which the photovoltaic power generation mechanism is located and the performance of various types of energy storage batteries, and then evaluates the quality compliance index of various types of energy storage batteries to obtain the target type of energy storage batteries for the photovoltaic power generation mechanism. This can effectively improve the full utilization of power generation resources during the actual use of energy storage batteries, improve the resource utilization rate of the photovoltaic power generation mechanism, and reduce the failure rate of energy storage batteries during actual application, thereby ensuring the efficient and stable operation of the photovoltaic power generation mechanism.

[0050] In a specific embodiment of the present invention, the combination of target type of energy storage batteries for designing photovoltaic power generation mechanism is analyzed by extracting the working voltage of photovoltaic power generation mechanism from the database. , the working parameters of the target type of energy storage battery of the photovoltaic power generation mechanism, including the working voltage of the single cell , Single cell capacity .

[0051] By formula: , calculate the number of series-connected energy storage batteries of the target type for the photovoltaic power generation mechanism ,in Represents the ceiling function.

[0052] By formula: , calculate the energy storage capacity of the target type of energy storage battery group of the photovoltaic power generation mechanism .

[0053] By formula: , calculate the parallel number of energy storage battery groups of the target type of photovoltaic power generation mechanism ,in Indicates the required energy storage capacity of photovoltaic power generation organizations.

[0054] Will The target type of energy storage batteries of the photovoltaic power generation mechanism are connected in series to obtain the target type of energy storage battery group of the photovoltaic power generation mechanism, and then The target type of energy storage battery groups of each photovoltaic power generation mechanism are connected in parallel to form a combination of target type energy storage batteries of the photovoltaic power generation mechanism.

[0055] In a specific embodiment of the present invention, the required energy storage capacity of the photovoltaic power generation mechanism is analyzed by extracting the pre-designed power generation capacity of the photovoltaic power generation mechanism from the database. , the average daily sunshine duration in the area where the photovoltaic power generation institution is located , through the formula: , calculate the expected daily power generation of the photovoltaic power generation agency .

[0056] It should be noted that, in a specific embodiment, the method for obtaining the average daily sunshine duration in the area where the photovoltaic power generation mechanism is located is to statistically calculate the daily sunshine duration in the area where the photovoltaic generator is located during the monitoring period, and after averaging, obtain the average daily sunshine duration in the area where the photovoltaic power generation mechanism is located.

[0057] Extract the estimated power demand of the load from the database , expected load day usage time , through the formula: , calculate the expected daily power demand of the load .

[0058] It should be noted that, in a specific embodiment, the expected demand power of the load is the total demand power of the area where the photovoltaic power generation agency is expected to supply power, which is recorded as the expected demand power. The expected daily load usage time is based on the historical daily load usage time of the area where the photovoltaic power generation agency is expected to supply power, and after averaging, the result is used as the expected daily load usage time.

[0059] Based on the estimated daily power generation of photovoltaic power generation institutions , the expected daily power demand of the load , through the formula: , calculate the actual required energy storage capacity of the photovoltaic power generation organization ,in represents the discharge depth of the energy storage battery of the target type of photovoltaic power generation mechanism extracted from the database, represents the charging and discharging efficiency of the target type of energy storage battery extracted from the database for the photovoltaic power generation mechanism, Indicates the redundant working days of the energy storage battery extracted from the database.

[0060] It should be noted that, in a specific embodiment, the redundant working days of the energy storage battery refers to the number of days that the energy storage battery can maintain auxiliary power supply when the energy storage battery cannot be charged. It is manually set by technicians considering the redundancy of the photovoltaic power generation system and stored in the database. For example, , which means that when the energy storage battery cannot be charged, the energy storage battery will provide auxiliary power supply for two consecutive days.

[0061] Energy storage capacity based on actual demand of photovoltaic power generation institutions , through the formula: , calculate the required energy storage capacity of the photovoltaic power generation organization ,in Represents the preset redundancy coefficient extracted from the database.

[0062] It should be noted that, in a specific embodiment, the redundancy coefficient takes into account that during the use of the energy storage battery, the actual capacity of the energy storage battery decreases due to the decrease in charge and discharge efficiency and discharge depth. In order to improve the performance stability of the energy storage battery, a redundant setting of the energy storage capacity is performed, which is manually set by technicians and stored in the database. For example, .

[0063] The present invention determines the energy storage capacity requirement of the photovoltaic power generation mechanism based on the expected power generation of the photovoltaic power generation mechanism, the predicted power consumption demand of the load, and the operating parameters of the energy storage battery, thereby designing a combination of target types of energy storage batteries for the photovoltaic power generation system. This can fully utilize the performance of the energy storage battery, ensure the performance stability and resource utilization of the energy storage battery during actual use, and improve the safety and reliability of the photovoltaic power generation mechanism.

[0064] In a specific embodiment of the present invention, the specific analysis method for evaluating the working state risk level of the photovoltaic power generation mechanism is as follows: based on the working parameters of the photovoltaic power generation mechanism at each collection point within the monitoring period, ,in , Indicates the number of each collection point within the monitoring period, Indicates the total number of collection points within the monitoring period, , Indicates the number of each working parameter of the photovoltaic power generation mechanism, Represents the total number of working parameters of the photovoltaic power generation mechanism.

[0065] It should be noted that, in a specific embodiment, the operating parameters of the photovoltaic power generation mechanism include operating voltage, operating current and grid-connected frequency. The output voltage of the photovoltaic power generation mechanism is collected through a voltage sensor, the output current is collected through a current sensor, and the grid-connected frequency is collected through a digital frequency meter.

[0066] By formula: , calculate the abnormal judgment value of each working parameter of the photovoltaic power generation mechanism at each collection point during the monitoring period ,in It represents the standard range of each working parameter of the photovoltaic power generation mechanism extracted from the database.

[0067] By formula: , calculate the abnormal risk index of the working parameters of the photovoltaic power generation mechanism within the monitoring period .

[0068] By formula: , calculate the fluctuation variance of each working parameter of the photovoltaic power generation mechanism within the monitoring period .

[0069] By formula: , calculate the working parameter fluctuation risk index of the photovoltaic power generation mechanism within the monitoring period .

[0070] By formula: , calculate the working state risk coefficient of the photovoltaic power generation mechanism within the monitoring period , match the working state risk coefficient of the photovoltaic power generation organization to the working state risk interval, and obtain the working state risk level of the photovoltaic power generation organization.

[0071] It should be noted that, in a specific embodiment, the specific method for obtaining the working state risk level of the photovoltaic power generation mechanism is: if If the photovoltaic power generation mechanism is in the first working state risk interval extracted from the database, it is determined that the working state risk level of the photovoltaic power generation mechanism within the monitoring period is high risk.

[0072] like If the photovoltaic power generation mechanism is in the second working state risk interval extracted from the database, it is determined that the working state risk level of the photovoltaic power generation mechanism within the monitoring period is medium risk.

[0073] like If the working state risk level of the photovoltaic power generation mechanism extracted from the database is in the third interval, it is determined that the working state risk level of the photovoltaic power generation mechanism within the monitoring period is low risk.

[0074] It should be noted that, in a specific embodiment, each interval of the working status risk is manually set by technical personnel based on the working status risk coefficient of the photovoltaic power generation mechanism analyzed in each history and the actual situation of the corresponding photovoltaic power generation mechanism, and stored in the database.

[0075] In a specific embodiment of the present invention, the environmental risk level of the photovoltaic power generation mechanism is evaluated by a specific analysis method: based on the environmental parameters of the photovoltaic power generation mechanism at each collection point within the monitoring period, the environmental parameters include: surface temperature , ambient humidity and dust concentration , through the formula: , calculate the risk judgment value of the working temperature of the photovoltaic power generation mechanism at each collection point during the monitoring period ,in Represents the normal surface temperature range of the photovoltaic power generation mechanism extracted from the database.

[0076] It should be noted that, in a specific embodiment, the dust concentration of the photovoltaic power generation mechanism is collected by a dust sensor.

[0077] According to the calculation method of the risk judgment value of the working temperature of the photovoltaic power generation mechanism at each collection point during the monitoring period, the ambient humidity and dust concentration of the photovoltaic power generation mechanism at each collection point during the monitoring period are processed to obtain the risk judgment value of the ambient humidity of the photovoltaic power generation mechanism at each collection point during the monitoring period. and risk assessment value of dust concentration .

[0078] By formula: , calculate the environmental risk coefficient of photovoltaic power generation institutions during the monitoring period , match the environmental risk coefficient of the photovoltaic power generation organization with the atmospheric environmental risk range, and obtain the environmental risk level of the photovoltaic power generation organization.

[0079] It should be noted that, in a specific embodiment, the environmental risk level of the photovoltaic power generation mechanism is obtained as follows: If the environmental risk level of the photovoltaic power generation facility is within the first environmental risk interval extracted from the database, it is determined that the environmental risk level of the photovoltaic power generation facility within the monitoring period is high risk.

[0080] like If the environmental risk level of the photovoltaic power generation facility is within the second range extracted from the database, it is determined that the environmental risk level of the photovoltaic power generation facility within the monitoring period is medium risk.

[0081] like If the environmental risk level of the photovoltaic power generation facility is in the third interval of the environmental risk of the photovoltaic power generation facility extracted from the database, it is determined that the environmental risk level of the photovoltaic power generation facility within the monitoring period is low risk.

[0082] It should be noted that, in a specific embodiment, the environmental risk intervals of the photovoltaic power generation mechanism are manually set by technical personnel based on the impact of the environmental risk coefficient of the photovoltaic power generation mechanism in history on the actual operation of the photovoltaic power generation mechanism, and stored in the database.

[0083] The present invention monitors and analyzes various environmental parameters and working parameters during the operation of the photovoltaic power generation mechanism, timely discovers potential risks in the operation of the photovoltaic power generation mechanism, effectively avoids potential failures of the photovoltaic power generation mechanism, reduces the failure rate during the actual operation of the photovoltaic power generation mechanism, and realizes early warning and troubleshooting of the photovoltaic power generation mechanism.

[0084] In a specific embodiment of the present invention, the photovoltaic power generation mechanism is dispatched to supply power to the load, and the specific analysis method is as follows: obtaining meteorological data within the future forecast period from the meteorological department ,in , Indicates the number of each meteorological data. Indicates the total number of meteorological data.

[0085] By formula: , calculate the meteorological The data conformity judgment value ,in Represents the meteorological data of the photovoltaic power generation agency extracted from the database. The appropriate range of data.

[0086] Based on the compliance judgment value of various meteorological data in the future forecast period, the formula is: , calculate the meteorological compliance coefficient in the future forecast period , match the meteorological compliance interval of the meteorological negative compliance coefficient in the future forecast time period to obtain the meteorological compliance level in the future forecast time period.

[0087] It should be noted that, in a specific embodiment, the specific analysis method for obtaining the meteorological compliance level within the future forecast period is: If the weather extracted from the database is in the first interval, the weather compliance level in the future forecast time period is determined to be high.

[0088] like If the weather extracted from the database is in the second interval, the weather compliance level in the future forecast time period is determined to be medium compliance.

[0089] like If the weather extracted from the database is in the third interval, the weather compliance level in the future forecast period is determined to be low.

[0090] Based on the meteorological compliance level in the future forecast period, the power generation in each historical time period matching the meteorological compliance level is extracted from the database. , the power generation in each historical time period is averaged and the result is used as the expected power generation in the future forecast time period ,in , Indicates the number of each historical time period extracted, Indicates the total number of historical time periods extracted.

[0091] Extract the load power consumption of each historical collection in the same time period as the future forecast time period from the database , the load power consumption collected in each historical period is averaged and the result is used as the predicted power demand in the future forecast period. ,in , Indicates the number of each historical collection. Indicates the total number of historical collections.

[0092] Obtain the energy storage capacity of the energy storage battery through the energy storage battery management system ,like , then the load power supply mode in the future forecast period is set to be directly supplied by the photovoltaic power generation mechanism. ,in If it represents logical AND, the load power supply mode in the future forecast period is set to be a comprehensive power supply of photovoltaic power generation mechanism and energy storage battery. , the load power supply mode in the future forecast time period is set to be a comprehensive power supply by photovoltaic power generation mechanism, energy storage battery and power grid.

[0093] It should be noted that, in a specific embodiment, the photovoltaic power generation mechanism is used to schedule the power supply mode of the load, such as the expected power generation of the photovoltaic power generation system in the future forecast period. , the predicted power demand of the load in the future prediction time period , the energy storage capacity of the energy storage battery ,at this time , the load power supply mode in the future forecast time period is set to be a comprehensive power supply by photovoltaic power generation mechanism, energy storage battery and power grid.

[0094] The present invention enables a photovoltaic power generation mechanism to predict the load power consumption and expected power generation in different time periods based on historical data, and intelligently adjusts the power supply mode of the load within the predicted time period, thereby ensuring the stability of the power supply of the photovoltaic power generation mechanism under different load demands, improving the balanced stability of the load power supply, ensuring the real-time scheduling of the load power supply demand under actual conditions, and meeting the self-regulation requirements of the photovoltaic power generation mechanism.

[0095] Example 2 A second aspect of the present invention provides a method for regulating and monitoring a photovoltaic power generation mechanism, the method comprising: step 1, obtaining various design requirement parameters of the energy storage battery of the photovoltaic power generation mechanism, calculating the adaptation index of each type of energy storage battery, and evaluating to obtain the target type of the energy storage battery of the photovoltaic power generation mechanism.

[0096] Step 2: Obtain the estimated daily power generation of the photovoltaic power generation mechanism, the estimated daily power demand of the load, and the operating parameters of the target type of energy storage battery of the photovoltaic power generation mechanism, and design a combination of energy storage batteries.

[0097] Step 3: Obtain the working parameters of the photovoltaic power generation mechanism during the monitoring period, calculate the working state risk coefficient of the photovoltaic power generation mechanism, and evaluate the working state risk level of the photovoltaic power generation mechanism.

[0098] Step 4: Obtain the environmental parameters of the photovoltaic power generation facility during the monitoring period, calculate the environmental risk coefficient of the photovoltaic power generation facility, and evaluate the environmental risk level of the photovoltaic power generation facility.

[0099] Step 5: Obtain meteorological data within the future forecast period and dispatch the photovoltaic power generation organization to supply power to the load.

[0100] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.

Claims

1. A photovoltaic power generation mechanism adjustment and monitoring device, characterized in that: The device comprises: The energy storage battery selection module is used to obtain the historical environmental data of the area where the photovoltaic power generation mechanism is located, the design requirements and parameters of the energy storage batteries of the photovoltaic power generation mechanism, calculate the adaptation index of each type of energy storage battery, and screen the target type of energy storage battery of the photovoltaic power generation mechanism; The energy storage battery combination design module is used to obtain the estimated daily power generation of the photovoltaic power generation mechanism, the estimated daily power demand of the load, and the working parameters of the target type of energy storage batteries of the photovoltaic power generation mechanism, and design the combination of the target type of energy storage batteries of the photovoltaic power generation mechanism; The power generation mechanism monitoring module is used to obtain the working parameters of the photovoltaic power generation mechanism within the monitoring period, evaluate the working state risk level of the photovoltaic power generation mechanism, obtain the environmental parameters of the photovoltaic power generation mechanism within the monitoring period, and evaluate the environmental risk level of the photovoltaic power generation mechanism; The load forecasting and scheduling module is used to obtain meteorological data within the future forecast period and schedule the power supply mode of the photovoltaic power generation organization to the load; The remote display warning module is used to send the working status risk level and environmental risk level of the photovoltaic power generation mechanism to the remote terminal for display through the communication equipment.

2. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 1, characterized in that: The adaptability index of each type of energy storage battery is calculated to screen the target type of energy storage battery for the photovoltaic power generation mechanism. The specific analysis method is as follows: By formula: , calculate the adaptation index of each type of energy storage battery ,in Indicates the environmental compliance coefficient of each type of energy storage battery, Indicates the performance compliance coefficient of each type of energy storage battery; Based on the adaptation index of each type of energy storage battery, the target type of energy storage battery for the photovoltaic power generation mechanism is screened.

3. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 2, characterized in that: The specific analysis method of the environmental compliance coefficients of the various types of energy storage batteries is as follows: The historical environmental data of the region where the photovoltaic power generation organization is located extracted from the database includes: temperature change range , humidity change range , Altitude and light intensity variation range ; By formula: , calculate the first The humidity of each type of energy storage battery meets the judgment value ,in , Indicates the number of each type of energy storage battery, Indicates the total number of energy storage battery types, Represents the first Suitable humidity range for each type of energy storage battery; Through the A calculation method for the humidity compliance judgment value of each type of energy storage battery is used to obtain the humidity compliance judgment value of each type of energy storage battery; According to the calculation method of humidity compliance judgment value of each type of energy storage battery, the temperature compliance judgment value of each type of energy storage battery is obtained. , the altitude meets the judgment value And the light intensity meets the judgment value ; By formula: , calculate the environmental compliance coefficient of each type of energy storage battery ,in is a natural constant.

4. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 2, characterized in that: The performance compliance coefficients of the various types of energy storage batteries are analyzed in the following specific methods: Extract the design parameters of the energy storage battery of the photovoltaic power generation mechanism from the database. The design parameters include: cycle life , discharge depth and charge and discharge efficiency ; By formula: , calculate the first The performance of each type of energy storage battery meets the coefficient ,in , Represents the first The actual cycle life of each type of energy storage battery, Represents the first The actual discharge depth of each type of energy storage battery, Represents the first The actual charging and discharging efficiency of each type of energy storage battery; According to The calculation method of the performance compliance coefficient of each type of energy storage battery is analyzed by analyzing the actual working parameters of each type of energy storage battery to obtain the performance compliance coefficient of each type of energy storage battery. .

5. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 4, characterized in that: The specific analysis method of the combination mode of the target type of energy storage battery in the photovoltaic power generation mechanism is as follows: Extracting the working voltage of photovoltaic power generation mechanism from the database , the working parameters of the target type of energy storage battery of the photovoltaic power generation mechanism, including the working voltage of the single cell 、Monomer capacity ; By formula: , calculate the number of energy storage batteries of the target type connected in series for the photovoltaic power generation mechanism ,in represents the ceiling function; By formula: , calculate the energy storage capacity of the target type of energy storage battery group of the photovoltaic power generation mechanism ; By formula: , calculate the parallel number of energy storage battery groups of the target type of photovoltaic power generation mechanism ,in Indicates the required energy storage capacity of the photovoltaic power generation organization; Will The target type of energy storage batteries of the photovoltaic power generation mechanism are connected in series to obtain the target type of energy storage battery group of the photovoltaic power generation mechanism, and then The target type of energy storage battery groups of each photovoltaic power generation mechanism are connected in parallel to form a combination of target type of energy storage batteries of the photovoltaic power generation mechanism.

6. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 5, characterized in that: The specific analysis method of the required energy storage capacity of the photovoltaic power generation mechanism is as follows: Extract the pre-designed power generation capacity of photovoltaic power generation units from the database , the average daily sunshine duration in the area where the photovoltaic power generation institution is located , through the formula: , calculate the expected daily power generation of the photovoltaic power generation mechanism ; Extract the estimated power demand of the load from the database , estimated load daily usage time , through the formula: , calculate the expected daily power demand of the load ; Based on the estimated daily power generation of photovoltaic power generation institutions 、Estimated daily power demand of the load , through the formula: , calculate the actual required energy storage capacity of the photovoltaic power generation organization ,in represents the discharge depth of the energy storage battery of the target type of photovoltaic power generation mechanism extracted from the database, represents the charging and discharging efficiency of the energy storage battery of the target type of photovoltaic power generation mechanism extracted from the database, Indicates the redundant working days of the energy storage battery extracted from the database; Energy storage capacity based on actual demand of photovoltaic power generation institutions , through the formula: , calculate the required energy storage capacity of the photovoltaic power generation organization ,in Represents the preset redundancy coefficient extracted from the database.

7. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 1, characterized in that: The specific analysis method for evaluating the working status risk level of the photovoltaic power generation mechanism is as follows: Based on the working parameters of the photovoltaic power generation mechanism at each collection point within the monitoring period ,in , Indicates the number of each collection point within the monitoring period. Indicates the total number of collection points within the monitoring period. , Indicates the number of the working parameters of the photovoltaic power generation mechanism, Indicates the total number of working parameters of the photovoltaic power generation mechanism; By formula: , calculate the abnormal judgment value of each working parameter of the photovoltaic power generation mechanism at each collection point during the monitoring period ,in It represents the standard range of each working parameter of the photovoltaic power generation mechanism extracted from the database; By formula: , calculate the abnormal risk index of the working parameters of the photovoltaic power generation mechanism within the monitoring period ; By formula: , calculate the fluctuation variance of each working parameter of the photovoltaic power generation mechanism within the monitoring period ; By formula: , calculate the working parameter fluctuation risk index of the photovoltaic power generation mechanism within the monitoring period ; By formula: , calculate the working state risk coefficient of the photovoltaic power generation mechanism within the monitoring period , match the working state risk interval of the working state risk coefficient of the photovoltaic power generation organization, and obtain the working state risk level of the photovoltaic power generation organization.

8. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 1, characterized in that: The specific analysis method for evaluating the environmental risk level of photovoltaic power generation institutions is as follows: Based on the environmental parameters of the photovoltaic power generation mechanism at each collection point during the monitoring period, the environmental parameters include: surface temperature , Ambient humidity and dust concentration , through the formula: , calculate the risk judgment value of the working temperature of the photovoltaic power generation mechanism at each collection point during the monitoring period ,in represents the normal surface temperature range of the photovoltaic power generation mechanism extracted from the database; According to the calculation method of the risk judgment value of the working temperature of the photovoltaic power generation mechanism at each collection point during the monitoring period, the ambient humidity and dust concentration of the photovoltaic power generation mechanism at each collection point during the monitoring period are processed to obtain the risk judgment value of the ambient humidity of the photovoltaic power generation mechanism at each collection point during the monitoring period. and risk assessment value of dust concentration ; By formula: , calculate the environmental risk coefficient of photovoltaic power generation institutions within the monitoring period , match the environmental risk coefficient of the photovoltaic power generation organization with the atmospheric environmental risk range, and obtain the environmental risk level of the photovoltaic power generation organization.

9. A photovoltaic power generation mechanism adjustment and monitoring device according to claim 1, characterized in that: The specific analysis method for scheduling the power supply mode of the photovoltaic power generation mechanism to the load is as follows: Obtain meteorological data for the future forecast period from the meteorological department ,in , Indicates the number of each meteorological data. Indicates the total number of meteorological data; By formula: , calculate the meteorological The data meets the judgment value ,in Represents the meteorological data of the photovoltaic power generation agency extracted from the database The appropriate interval of the data; Based on the compliance judgment value of various meteorological data in the future forecast period, the formula is: , calculate the meteorological compliance coefficient in the future forecast period , match the meteorological compliance interval where the meteorological negative compliance coefficient in the future forecast time period is located, and obtain the meteorological compliance level in the future forecast time period; Based on the meteorological compliance level in the future forecast period, the power generation in each historical time period matching the meteorological compliance level is extracted from the database. , the power generation in each historical time period is averaged and the result is used as the expected power generation in the future forecast time period ,in , Indicates the number of each historical time period extracted, Indicates the total number of historical time periods extracted; Extract the load power consumption of each historical collection in the same time period as the future prediction time period from the database , the load power consumption collected in each historical period is averaged, and the result is used as the predicted power demand in the future prediction period. ,in , Indicates the number of each historical collection. Indicates the total number of historical collections; Obtain the energy storage capacity of the energy storage battery through the energy storage battery management system ,like , then the load power supply mode in the future forecast period is set to be directly supplied by the photovoltaic power generation mechanism. ,in If it represents logical AND, the load power supply mode in the future forecast period is set to be a comprehensive power supply of photovoltaic power generation mechanism and energy storage battery. , the load power supply mode in the future forecast time period is set to be a comprehensive power supply by photovoltaic power generation mechanism, energy storage battery and power grid.

10. A method for executing the photovoltaic power generation mechanism adjustment and monitoring device according to any one of claims 1 to 9, characterized in that: The method comprises: Step 1: Obtain design requirements of energy storage batteries for photovoltaic power generation mechanisms, calculate the adaptation index of various types of energy storage batteries, and evaluate the target type of energy storage batteries for photovoltaic power generation mechanisms; Step 2: Obtain the estimated daily power generation of the photovoltaic power generation mechanism, the estimated daily power demand of the load, and the working parameters of the target type of energy storage battery of the photovoltaic power generation mechanism, and design a combination of energy storage batteries; Step 3: Obtain the working parameters of the photovoltaic power generation mechanism within the monitoring period, calculate the working state risk coefficient of the photovoltaic power generation mechanism, and evaluate the working state risk level of the photovoltaic power generation mechanism; Step 4: Obtain the environmental parameters of the photovoltaic power generation mechanism within the monitoring period, calculate the environmental risk coefficient of the photovoltaic power generation mechanism, and evaluate the environmental risk level of the photovoltaic power generation mechanism; Step 5: Obtain meteorological data within the future forecast period and dispatch the photovoltaic power generation organization to supply power to the load.

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