Mountain photovoltaic control method and system based on edge gateway power control

Abstract

The invention discloses a mountain photovoltaic control method and system based on edge gateway power control, and relates to the technical field of mountain photovoltaic power generation. Comprising the following steps: acquiring illumination intensity, temperature, output voltage and output current data of an official and clothing team and real-time voltage, current and frequency data of a power grid side in real time based on sensor groups arranged in areas of a mountain photovoltaic power station, and transmitting the data to an edge gateway; through real-time data acquisition and accurate calculation and judgment, the problems of power loss of the photovoltaic panel and power grid frequency abnormity can be found in time, effective adjustment and control measures are taken, the output power of the photovoltaic panel can be improved through adjustment of the inclination angle of the photovoltaic panel and the working parameters of the inverter, and the power grid efficiency is improved. The power grid frequency can be stabilized by controlling charging and discharging of the energy storage system and adjusting the output power of the photovoltaic panel.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mountain photovoltaic power generation, in particular to a mountain photovoltaic control method and system based on edge gateway power control. BACKGROUND

[0002] In recent years, with the gradual maturity of edge gateway technology, its application in the field of new energy is becoming more and more widespread. Edge gateway can aggregate data from different energy devices, transmit it to the cloud for analysis and processing, and use intelligent control technology to realize real-time dynamic adjustment of energy systems. In mountain photovoltaic projects, edge gateway collects specific data from various energy devices, enabling real-time adjustment of cloud instruction values and improving energy utilization efficiency.

[0003] Solar energy, as a common form of new energy generation, is widely used in various scenarios. Photovoltaic arrays cannot occupy arable land and other agricultural land and need to be reasonably controlled according to actual conditions to minimize their adverse impact on agricultural production and ecology. Therefore, more and more mountain photovoltaic power generation projects are being developed, but many problems are also encountered. The complex terrain and three-dimensional climate of mountains make the regional environment of mountain photovoltaic power stations exhibit uneven light distribution and large temperature variation. Under such complex and variable climate conditions, photovoltaic inverter output uncertainty is stronger, making it difficult to accurately grasp the photovoltaic power generation rule.

[0004] However, the complex terrain of mountains, uneven light intensity and temperature distribution, and the fact that photovoltaic panels are prone to power loss, as well as the relatively weak mountain power grid and poor grid frequency stability, make it difficult for traditional photovoltaic power station control methods to adapt to the complexity of mountain environments, making it difficult to accurately and timely adjust photovoltaic panel output power and grid frequency, resulting in low power generation efficiency and insufficient grid stability, limiting the development and application of mountain photovoltaic power stations.

[0005] Therefore, the present application proposes a mountain photovoltaic control method and system based on edge gateway power control. SUMMARY

[0006] The present application aims to provide a mountain photovoltaic control method and system based on edge gateway power control to solve the problems raised in the background.

[0007] To achieve the above-mentioned purpose, the present application provides the following technical solution: a mountain photovoltaic control method based on edge gateway power control, comprising the following steps:

[0008] Based on the sensor group set in each region of the mountain photovoltaic power station, real-time collection of the light intensity, temperature, output voltage, output current data of the official uniform, and real-time voltage, current, frequency data of the grid side, and transmission of the data to the edge gateway;

[0009] After receiving the data based on the edge gateway, according to the preset illumination power conversion model , wherein, is the theoretical power calculated for the model, I is the illumination intensity, T is the temperature, , , is the coefficient obtained by fitting historical data, the theoretical output power of the photovoltaic panel is calculated, and the formula is, , wherein is the actual output power, U is the output voltage, I is the output current, and the actual output power of the photovoltaic panel is calculated;

[0010] Based on the comparison between the theoretical output power and the actual output power, if the actual output power is less than the theoretical output power and the difference exceeds a preset threshold , it is determined that the photovoltaic panel has power loss, and the grid side data is analyzed to determine the grid frequency whether it is within the normal range[ ] If it is not within the range, it is determined that the grid frequency is abnormal;

[0011] Based on the determination that the photovoltaic panel has power loss, the edge gateway adjusts the inclination angle of the photovoltaic panel to control the motor or adjusts the working parameters of the inverter according to the power loss condition, so as to improve the output power of the photovoltaic panel. When the grid frequency is abnormal, the edge gateway calculates the power adjustment amount according to the grid frequency deviation , is the set value of the grid frequency, and the formula is used to calculate the power adjustment amount, and the energy storage system of the photovoltaic power station is controlled to charge or discharge or the output power of the photovoltaic panel is adjusted to stabilize the grid frequency.

[0012] Preferably, the coefficient , , of the illumination power conversion model is updated in the following way:

[0013] Periodically collect actual output power data of the photovoltaic panel under different illumination intensities and temperatures;

[0014] Use the least square method to fit the collected data to obtain new , , coefficients to optimize the illumination power conversion model.

[0015] Preferably, the preset threshold is dynamically adjusted based on the model of the photovoltaic panel, the installation location, and the historical operation data.

[0016] Preferably, the adjustment strategy of the motor for adjusting the tilt angle of the photovoltaic panel is: calculating the required tilt angle adjustment angle based on the power loss amount , using the PID control algorithm, through the formula:

[0017] , to control the tilt angle control motor to adjust, wherein is the tilt angle of the next adjustment, is the current tilt angle, is the power loss deviation, , , is the PID control parameter.

[0018] Preferably, the adjustment of the operating parameters of the inverter includes adjusting the DC side voltage, AC side voltage and frequency of the inverter to optimize the maximum power point tracking of the photovoltaic panel.

[0019] Preferably, the charge and discharge control strategy of the energy storage system is: when the grid frequency is lower than , the energy storage system is controlled to discharge, and the discharge power is , when the grid frequency is higher than , the energy storage system is controlled to charge, and the charge power is , and and are dynamically adjusted according to the grid frequency deviation and the remaining capacity of the energy storage system.

[0020] A mountain photovoltaic control system based on edge gateway power control, comprising:

[0021] A data acquisition module for acquiring real-time light intensity, temperature, output voltage and output current data of the photovoltaic panel and real-time voltage, current and frequency data of the grid side based on a sensor group arranged in each area of the mountain photovoltaic power station, and transmitting the data to the edge gateway;

[0022] A data processing module for calculating the theoretical output power of the photovoltaic panel according to a preset light power conversion model after receiving the data, and calculating the actual output power of the photovoltaic panel through the formula ;

[0023] A data judgment module for comparing the theoretical output power with the actual output power, if the actual output power is less than the theoretical output power and the difference exceeds a preset threshold , judging that there is a power loss in the photovoltaic panel, and analyzing the grid side data to judge whether the grid frequency is within a normal range , if not, judging that the grid frequency is abnormal;

[0024] The result control module is used to, when power loss is detected in the photovoltaic panel, adjust the tilt motor of the photovoltaic panel or adjust the operating parameters of the inverter to increase the output power of the photovoltaic panel based on the power loss situation. When an abnormal grid frequency is detected, it adjusts the output power based on the grid frequency deviation. Through formula Calculate the power regulation amount and control the energy storage system of the photovoltaic power station to charge and discharge or adjust the output power of the photovoltaic panels to stabilize the grid frequency.

[0025] Preferably, the system further includes a model update module, used to periodically collect actual output power data of the photovoltaic panel under different light intensities and temperatures, and to fit the collected data using the least squares method to update the coefficients of the light power conversion model. , , .

[0026] Preferably, the method further includes a threshold control module, used to dynamically adjust the preset threshold based on the photovoltaic panel model, installation location, and historical operating data. .

[0027] Preferably, the result control module includes a tilt angle adjustment submodule, used to calculate the required tilt angle adjustment based on the power loss. The PID control algorithm is adopted, and the formula is used. The tilt angle is adjusted by the control motor.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] This mountain photovoltaic control method and system based on edge gateway power control can promptly detect power loss of photovoltaic panels and abnormal grid frequency by collecting data in real time and performing accurate calculations and judgments. It can then take effective adjustment and control measures. By adjusting the tilt angle of the photovoltaic panels and the operating parameters of the inverter, the output power of the photovoltaic panels can be increased. By controlling the charging and discharging of the energy storage system and adjusting the output power of the photovoltaic panels, the grid frequency can be stabilized.

[0030] Meanwhile, by regularly updating the solar power conversion model coefficients and dynamically adjusting the preset thresholds, the system's adaptability and accuracy have been improved, effectively enhancing the power generation efficiency and grid stability of the mountain photovoltaic power station. Attached Figure Description

[0031] Fig. 1 This is a schematic diagram of the mountain photovoltaic control system for edge gateway power control according to the present invention;

[0032] Fig. 2 This is a schematic diagram of the data judgment module of the present invention;

[0033] Fig. 3 Result control module flowchart of the present application. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0035] In the description of the present application, it should be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only used to facilitate the description of the present application and simplify the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0036] In addition, the terms "first", "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise explicitly specified and limited.

[0037] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection", "fixing" and the like should be understood in a broad sense, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the internal communication of two elements or the interaction relationship between two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0038] In the present application, unless otherwise explicitly specified and limited, the first feature is "on" or "under" the second feature can be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature can be "above", "over" and "on" the second feature, which can be that the first feature is directly above or obliquely above the second feature, or only means that the first feature is horizontally higher than the second feature. The first feature can be "below", "over" and "under" the second feature, which can be that the first feature is directly above or obliquely above the second feature, or only means that the first feature is horizontally lower than the second feature.

[0039] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example" or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present application, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any suitable manner in any one or more embodiments or examples. In addition, different embodiments or examples described in the present application and the features of different embodiments or examples can be combined and combined by those skilled in the art without contradiction.

[0040] As shown in Figs. 1-3 The present application provides a technical solution: a mountain photovoltaic control method based on edge gateway power control, comprising the following steps:

[0041] Based on the sensor group arranged in each region of the mountain photovoltaic power station, the light intensity, temperature, output voltage, output current data of the official uniform team and the real-time voltage, current, frequency data of the power grid side are collected in real time, and the data is transmitted to the edge gateway;

[0042] Specifically, the sensor group includes a light sensor, a temperature sensor, a voltage sensor and a current sensor. The light sensor uses a high-precision silicon photocell sensor, which can accurately measure the light intensity in the range of 0 to 2000W / m². The temperature sensor selects a PT100 temperature sensor, which has a measurement range of -50℃ to 150℃ and an accuracy of ±0.1℃. The voltage sensor and the current sensor are used to measure the output voltage and current of the photovoltaic panel and the real-time voltage, current of the power grid side, respectively. The measurement accuracy meets the requirements of the power measurement standard. The sensor group transmits the collected light intensity, temperature, output voltage, output current data of the photovoltaic panel and the real-time voltage, current and frequency data of the power grid side to the edge gateway through wired and wireless communication methods. For example, in a certain mountain photovoltaic power station, the entire power station is divided into 10 regions, and a set of sensor groups is installed in each region. Data is collected and transmitted every 10 seconds.

[0043] Specifically, after receiving the data, the edge gateway calculates the theoretical output power of the photovoltaic panel according to a preset light power conversion model The theoretical output power of the photovoltaic panel is calculated, wherein The theoretical power calculated by the model is in Kw, I is the light intensity in W / m², and T is the temperature in ℃, 、 、 is a coefficient fitted by historical data, and is calculated by the formula , The actual output power of the photovoltaic panel is calculated, for example, for a certain type of photovoltaic panel, when the light intensity is 800 W / m² and the temperature is 25 ℃, the coefficient , , , the theoretical output power is If the measured output voltage at this time is 380 V, the theoretical output power is .

[0044] The theoretical output power and the actual output power are compared, if the actual output power is less than the theoretical output power and the difference exceeds a preset threshold, it is determined that the photovoltaic panel has power loss, the preset threshold is dynamically adjusted based on the model of the photovoltaic panel, the installation location and the historical operation data, for example, for a certain type of photovoltaic panel, at a certain installation location, according to historical data, when the difference exceeds 0.5 kW, it is determined that there is power loss, at the same time, the grid side data is analyzed to determine whether the grid frequency is within the normal range In the specific implementation of the present application, the normal range is [49.5 Hz, 50.5 Hz], if it is not within the range, it is determined that the grid frequency is abnormal.

[0045] When it is determined that the photovoltaic panel has power loss, the edge gateway adjusts the tilt angle of the photovoltaic panel to control the motor or adjusts the working parameters of the inverter according to the power loss to improve the output power of the photovoltaic panel, the adjustment strategy of the tilt angle control motor is to calculate the required tilt angle adjustment angle based on the power loss amount, and to control the tilt angle control motor to adjust by using a PID control algorithm through the formula , wherein is the tilt angle of the next adjustment, is the current tilt angle, is the power loss deviation, 、 、 is the PID control parameter, for example, , , Adjusting the operating parameters of the inverter includes adjusting the DC side voltage, AC side voltage and frequency of the inverter to optimize the maximum power point tracking of the photovoltaic panel. When it is judged that the grid frequency is abnormal, the edge gateway adjusts the operating parameters of the inverter according to the grid frequency deviation , is the actual grid frequency, is the set value of the grid frequency, which is 50Hz in the specific implementation of the present application, and the power adjustment amount K is calculated by the formula K is the adjustment coefficient, which is set to 100kW / Hz according to the actual situation, and the energy storage system of the photovoltaic power plant is controlled to charge or discharge or the output power of the photovoltaic panel is adjusted to stabilize the grid frequency. The charge and discharge control strategy of the energy storage system is that when the grid frequency is lower than , the energy storage system is controlled to discharge, and the discharge power is , when the grid frequency is higher than , the energy storage system is controlled to charge, and the charge power is , and and are dynamically adjusted according to the grid frequency deviation and the remaining capacity of the energy storage system.

[0046] The coefficients of the light power conversion model , , are updated in the following way:

[0047] Actual output power data of the photovoltaic panel under different light intensities and temperatures are collected periodically;

[0048] The collected data are fitted by the least squares method to obtain new , , coefficients to optimize the light power conversion model.

[0049] Specifically, for example, the least squares method is used to fit the collected data once every 7 days to obtain new , , coefficients to optimize the light power conversion model. The specific calculation steps of the least squares method are as follows:

[0050] Let n groups of data (X1, Y1), (X2, Y2),..., (Xn, Yn) be collected, , , , 2,..., n. An error function is constructed:

[0051] , the partial derivatives of , , , are taken, and the partial derivatives are set to 0 to obtain a system of equations:

[0052] ;

[0053] ;

[0054] ;

[0055] solving the equation set, obtaining new , , coefficients.

[0056] A mountainous photovoltaic control system based on edge gateway power control comprises:

[0057] A data acquisition module is configured to acquire, based on a sensor group arranged in each region of a mountainous photovoltaic power station, real-time illumination intensity, temperature, output voltage and output current data of a photovoltaic panel, and real-time voltage, current and frequency data of a power grid side, and transmit the data to an edge gateway.

[0058] Specifically, the module is configured to acquire, based on a sensor group arranged in each region of a mountainous photovoltaic power station, real-time illumination intensity, temperature, output voltage and output current data of a photovoltaic panel, and real-time voltage, current and frequency data of a power grid side, and transmit the data to an edge gateway. The data acquisition module is modularly designed, and can flexibly configure the number of sensors and the communication mode according to the scale and region division of the photovoltaic power station. The data acquisition module has a data preprocessing unit integrated therein, which performs preliminary processing such as filtering and denoising on the collected data to improve the data quality.

[0059] A data processing module is configured to, after receiving the data, calculate the theoretical output power of the photovoltaic panel according to a preset illumination power conversion model , and calculate the actual output power of the photovoltaic panel through a formula .

[0060] Specifically, the data processing module is configured to, after receiving the data transmitted by the data acquisition module, calculate the theoretical output power of the photovoltaic panel according to a preset illumination power conversion model, and calculate the actual output power of the photovoltaic panel through a formula. The data processing module has a high-performance processor, and has fast data calculation and processing capability. In addition, the module is also provided with a data cache area for temporarily storing the collected data and the calculation result, so as to facilitate subsequent analysis and calling.

[0061] A data judgment module is configured to compare the theoretical output power with the actual output power. If the actual output power is less than the theoretical output power and the difference exceeds a preset threshold , it is determined that the photovoltaic panel has power loss, and the power grid side data is analyzed to determine whether the power grid frequency is in a normal range ] If not in the range, it is judged that the grid frequency is abnormal;

[0062] Specifically, the theoretical output power is compared with the actual output power. If the actual output power is less than the theoretical output power and the difference exceeds a preset threshold, it is judged that the photovoltaic panel has power loss. The grid side data is analyzed to determine whether the grid frequency is within a normal range. If not in the range, it is judged that the grid frequency is abnormal. The data judgment module is built-in with a threshold judgment algorithm and a frequency judgment algorithm, which can quickly and accurately determine the problem. Meanwhile, the module is also provided with an alarm unit. When power loss or grid frequency abnormality is detected, an alarm signal is timely sent out.

[0063] The result control module is used to adjust the tilt angle motor of the photovoltaic panel or adjust the working parameters of the inverter according to the power loss condition when it is judged that the photovoltaic panel has power loss, so as to improve the output power of the photovoltaic panel. When it is judged that the grid frequency is abnormal, the power adjustment amount is calculated through the formula , and the energy storage system of the photovoltaic power station is controlled to charge or discharge or the output power of the photovoltaic panel is adjusted to stabilize the grid frequency.

[0064] Specifically, when it is judged that the photovoltaic panel has power loss, the tilt angle motor of the photovoltaic panel or the working parameters of the inverter are adjusted according to the power loss condition to improve the output power of the photovoltaic panel. When it is judged that the grid frequency is abnormal, the power adjustment amount is calculated through the formula according to the grid frequency deviation, and the energy storage system of the photovoltaic power station is controlled to charge or discharge or the output power of the photovoltaic panel is adjusted to stabilize the grid frequency. The result control module includes a tilt angle adjustment submodule for calculating the required tilt angle adjustment angle according to the power loss amount. A PID control algorithm is adopted to control the tilt angle motor to adjust through the formula. The module is stably connected in communication with the tilt angle control motor of the photovoltaic panel, the inverter and the energy storage system, and can accurately send control instructions.

[0065] The model updating module is used to periodically collect actual output power data of the photovoltaic panel under different light intensities and temperatures, and update the coefficients of the light power conversion model by fitting the collected data with the least square method 、 、 .

[0066] Specifically, the model updating module is used to periodically collect actual output power data of the photovoltaic panel under different light intensities and temperatures, and update the coefficients of the light power conversion model by fitting the collected data with the least square method 、 、 ​The model updating module sets a data collection timer to trigger data collection operations at preset time intervals. Meanwhile, the module also has a model evaluation function to evaluate the performance of the updated model to ensure the accuracy and effectiveness of the model. The threshold control module automatically adjusts the preset threshold based on the model, installation location, and threshold database of the photovoltaic panel, analyzes and mines historical operation data, and combines the characteristics of the photovoltaic panel. Meanwhile, the module also supports manual intervention, and the operator can manually adjust the threshold according to the actual situation.

[0067] In the specific implementation in the present application, a certain mountain photovoltaic power station is taken as an example. The installed capacity of the power station is 10 MW, and 10,000 photovoltaic panels are installed, which are divided into 20 regions, and one set of sensor group is installed in each region. The light intensity sensor adopts a HIH-4000 series silicon photocell sensor, the temperature sensor adopts a PT100 platinum resistance temperature sensor, and the voltage sensor and the current sensor adopt high-precision Hall sensors. The sensor group transmits data to the edge gateway through a 4G wireless communication mode, collects data every 5 seconds, and the edge gateway receives data. For the photovoltaic panels in a certain region, the light intensity is 750 W / m² and the temperature is 28°C at a certain moment. According to the preset light power conversion model, the known coefficient , , , the theoretical output power is calculated , the measured output voltage is 380 V, and the output voltage is 28.5 A. Therefore, the actual output power is Since , and the difference 8.773-8.625=0.148 kW exceeds the preset threshold 0.1 kW, it is judged that the photovoltaic panel has power loss. At the same time, it is detected that the grid frequency is 49.2 Hz, which is not within the normal range [49.5 Hz, 50.5 Hz], and it is judged that the grid frequency is abnormal. For the photovoltaic panel with power loss, the edge gateway controls the tilt angle adjustment submodule. According to the power loss deviation , the current tilt angle , the PID control parameters , , , the next adjustment tilt angle is calculated by the formula , the control motor adjusts the tilt angle of the photovoltaic panel to 30.1036°. At the same time, according to the grid frequency deviation , the adjustment coefficient K=100 kW / Hz, and the power adjustment amount is calculated , the control of the energy storage system discharge, discharge power according to the grid frequency deviation and the remaining capacity of energy storage system dynamic adjustment for 50kW, while reducing the output power of photovoltaic panel, to stabilize the grid frequency. Model update module every 7 days to collect photovoltaic panel in different light intensity and temperature of the actual output power data, using the least squares method to fit the data, update the coefficient of light power conversion model 、 、 , threshold control module according to the model of photovoltaic panel, installation location and historical operation data, every 15 days dynamic adjustment of the preset threshold.

[0068] While the embodiments of the application have been shown and described, it is to be understood that the embodiments proposed are not limited to the details of the foregoing illustration, and that the scope of the application is defined by the appended claims and their equivalents.

Claims

1. A mountainous photovoltaic control method based on edge gateway power control, characterized in that, The method comprises the following steps: Real-time collection of illumination intensity, temperature, output voltage, output current data of the official uniform team and real-time voltage, current, frequency data of the power grid side based on a sensor group arranged in each area of the mountain photovoltaic power station and transmission of the data to an edge gateway; After receiving the data based on the edge gateway, according to the preset illumination power conversion model wherein, is the theoretical power calculated by the model, I is the illumination intensity, T is the temperature, , , is the coefficient obtained by fitting the historical data, the theoretical output power of the photovoltaic panel is calculated, and the formula is wherein is the actual output power, U is the output voltage, I is the output current, and the actual output power of the photovoltaic panel is calculated; Comparing the theoretical output power with the actual output power, if the actual output power is less than the theoretical output power and the difference exceeds a preset threshold , it is determined that the photovoltaic panel has power loss, and grid side data is analyzed to determine whether the grid frequency is within a normal range . If not, it is determined that the grid frequency is abnormal. Based on judging that the photovoltaic exists power loss, the edge gateway adjusts the inclination of the photovoltaic panel to control the motor or adjusts the working parameters of the inverter according to the power loss condition, so as to improve the output power of the photovoltaic panel. When judging that the grid frequency is abnormal, the edge gateway sets the grid frequency value according to the grid frequency deviation , , calculates the power adjustment amount by the formula , and controls the energy storage system of the photovoltaic power station to charge or discharge or adjusts the output power of the photovoltaic panel to stabilize the grid frequency. 2.The mountainous photovoltaic control method based on edge gateway power control according to claim 1, wherein: coefficients of the light power conversion model , , by updating: Periodic collection of actual output power data of the photovoltaic panel under different illumination intensities and temperatures; The collected data is fitted using the least squares method to obtain new , , coefficients to optimize the illumination power conversion model. 3.The mountainous photovoltaic control method based on edge gateway power control according to claim 1, wherein: the preset threshold Based on the model of the photovoltaic panel, the installation location and the historical operation data to dynamically adjust.

4. The mountain photovoltaic control method based on edge gateway power control according to claim 1, characterized in that: The adjustment strategy of the control motor adjusting the inclination angle of the photovoltaic panel is that the required inclination angle adjustment angle is calculated based on the power loss amount by using a PID control algorithm through a formula: , the control motor for the tilt angle is adjusted, wherein is the tilt angle for the next adjustment, is the current tilt angle, is the power loss deviation, , , are PID control parameters.

5. The mountainous photovoltaic control method based on edge gateway power control according to claim 1, characterized in that: The adjustment of the working parameters of the inverter comprises adjustment of the direct-current side voltage, alternating-current side voltage and frequency of the inverter to optimize the maximum power point tracking of the photovoltaic panel.

6. The mountainous photovoltaic control method based on edge gateway power control according to claim 1, characterized in that: The charge-discharge control strategy of the energy storage system is: when the grid frequency is lower than , the energy storage system is controlled to discharge, and the discharge power is , when the grid frequency is higher than , the energy storage system is controlled to charge, and the charge power is , and and The dynamic adjustment is performed according to the grid frequency deviation and the remaining capacity of the energy storage system.

7. A mountain photovoltaic control system based on edge gateway power control, characterized in that, The method comprises: A data acquisition module is configured to collect, based on a sensor group arranged in each area of the mountain photovoltaic power station, illumination intensity, temperature, output voltage, output current data of the photovoltaic panel and real-time voltage, current, frequency data of the power grid side and transmit the data to an edge gateway. The data processing module is used to receive the data and then process it according to a preset light power conversion model. Calculate the theoretical output power of the photovoltaic panel, and use the formula... Calculate the actual output power of the photovoltaic panel; The data judgment module is configured to compare the theoretical output power with the actual output power, and if the actual output power is less than the theoretical output power and the difference exceeds a preset threshold , it is determined that the photovoltaic panel has power loss, and grid side data is analyzed to determine the grid frequency whether in a normal range[ ] If not, it is determined that the grid frequency is abnormal The result control module is used to, when power loss is detected in the photovoltaic panel, adjust the tilt motor of the photovoltaic panel or adjust the operating parameters of the inverter to increase the output power of the photovoltaic panel based on the power loss situation. When an abnormal grid frequency is detected, it adjusts the output power based on the grid frequency deviation. Through formula Calculate the power regulation amount and control the energy storage system of the photovoltaic power station to charge and discharge or adjust the output power of the photovoltaic panels to stabilize the grid frequency.

8. The mountainous photovoltaic control system based on edge gateway power control according to claim 7, wherein, The model updating module is configured to periodically collect actual output power data of the photovoltaic panel under different light intensities and temperatures, and update coefficients of the light power conversion model by fitting the collected data using a least square method 、 、 .

9. The mountainous photovoltaic control system based on edge gateway power control according to claim 7, characterized in that: The threshold regulation module is configured to dynamically adjust the preset threshold according to the model, installation position and historical operation data of the photovoltaic panel .

10. The mountainous photovoltaic control system based on edge gateway power control according to claim 7, characterized in that: The result control module comprises a tilt angle adjustment submodule for calculating a required tilt angle adjustment angle according to the power loss amount , adopts a PID control algorithm, and controls the tilt angle control motor to adjust through a formula .

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