Multifunctional monitoring system and method for solar power generation system

Abstract

The invention relates to the technical field of monitoring systems of solar power generation systems, and provides a multifunctional monitoring system and method of a solar power generation system, and the system comprises a sensing network terminal, a central processing terminal, an emergency early warning terminal and a data management terminal. The sensing network terminal is used for performing distributed sensing monitoring on the solar power generation system and acquiring vibration data, electromagnetic interference data and power grid frequency fluctuation data; the central processing terminal is used for respectively performing vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis on the vibration data, the electromagnetic interference data and the power grid frequency fluctuation data, and outputting risk analysis information; the emergency early warning terminal is used for generating and executing emergency early warning information according to the risk analysis information; and the data management terminal is used for storing and transmitting the vibration data, the electromagnetic interference data, the power grid frequency fluctuation data, the risk analysis information and the emergency early warning information. According to the invention, the monitoring quality of the system on the solar power generation system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring systems for solar power generation systems, and in particular to a multifunctional monitoring system and method for solar power generation systems. Background Art

[0002] A solar power generation system is a system that converts sunlight into electrical energy. It uses the photovoltaic effect to directly shine sunlight onto solar panels to generate direct current. This direct current can be used directly for power supply, or it can be converted into alternating current through an inverter for home, commercial or industrial use, or connected to the power grid. The multifunctional monitoring system of a solar power generation system is a comprehensive monitoring solution for managing and optimizing the performance of a solar power generation system. The system usually integrates a variety of monitoring and control functions, including real-time data acquisition, system status monitoring, fault detection, performance analysis, remote control and other functions to ensure the safe, efficient and continuous operation of the solar power generation system.

[0003] Now, many monitoring systems for power generation systems have been developed. After a lot of searching and reference, we found that the monitoring systems for power generation systems in the prior art include the monitoring systems for power generation systems disclosed in publication numbers CN108226626A, CN117458712A, CN107395117A, EP3183128A1, US20140278163A1, and JP2016082716A. These monitoring systems for power generation systems generally include: a power generation system data monitoring terminal, a data analysis terminal, and a decision output terminal; the power generation system data monitoring terminal is used to perform data monitoring on the power generation system in operation; the data analysis terminal is used to perform data analysis on the data; and the decision output terminal is used to output monitoring decisions and emergency decisions based on the data analysis results. Since the monitoring process of the monitoring system of the above-mentioned power generation system is relatively single, it is not conducive to comprehensive monitoring of different power generation systems, resulting in a decrease in the accuracy of the system's monitoring of the power generation system, which causes the defect of decreased monitoring quality. Summary of the invention

[0004] The purpose of the present invention is to provide a multifunctional monitoring system and method for a solar power generation system in view of the deficiencies existing in the monitoring system of the above power generation system.

[0005] The present invention adopts the following technical solution: A multifunctional monitoring system for a solar power generation system, comprising a sensor network terminal, a central processing terminal, an emergency warning terminal and a data management terminal; the sensor network terminal is used to perform distributed sensor monitoring on the solar power generation system, and collect vibration data, electromagnetic interference data and grid frequency fluctuation data; the central processing terminal is used to perform vibration risk analysis, electromagnetic interference risk analysis and grid fluctuation risk analysis on the vibration data, electromagnetic interference data and grid frequency fluctuation data, respectively, and output risk analysis information; the emergency warning terminal is used to generate and execute emergency warning information according to the risk analysis information; the data management terminal is used to store and transmit vibration data, electromagnetic interference data, grid frequency fluctuation data, risk analysis information and emergency warning information; The sensor network terminal includes a vibration sensing module, an electromagnetic interference monitoring module and a power grid fluctuation monitoring module; the vibration sensing module is used to detect the vibration data of the photovoltaic panels in the solar power generation system in real time; the electromagnetic interference monitoring module is used to detect the electromagnetic interference data of the inverter in the solar power generation system in real time; the power grid fluctuation monitoring module is used to detect the power grid frequency fluctuation data of the power grid in the solar power generation system in real time.

[0006] Optionally, the central processing terminal includes a vibration risk analysis module, an electromagnetic interference risk analysis module, a power grid fluctuation risk analysis module and a risk analysis information output module; the vibration risk analysis module is used to perform vibration risk analysis on photovoltaic panels according to vibration data, and generate vibration risk information; the electromagnetic interference risk analysis module is used to perform electromagnetic interference risk analysis on inverters according to electromagnetic interference data, and generate electromagnetic interference risk information; the power grid fluctuation risk analysis module is used to perform power grid fluctuation risk analysis on the power grid according to power grid frequency fluctuation data, and generate power grid fluctuation risk information; the risk analysis information output module is used to generate and output risk analysis information based on vibration risk information, electromagnetic interference risk information and power grid fluctuation risk information.

[0007] Optionally, the emergency warning terminal includes a vibration warning module, an electromagnetic interference warning module, a power grid fluctuation warning module and an emergency warning information output module; the vibration warning module is used to generate vibration warning information based on the vibration risk information in the risk analysis information; the electromagnetic interference warning module is used to generate electromagnetic interference warning information based on the electromagnetic interference risk information in the risk analysis information; the power grid fluctuation warning module is used to generate power grid fluctuation warning information based on the power grid fluctuation risk information in the risk analysis information; the emergency warning information output module is used to output emergency warning information based on the vibration warning information, electromagnetic interference warning information and power grid fluctuation warning information.

[0008] Optionally, the data management terminal includes a data storage module and a data transmission module; the data storage module is used to store vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information; the data transmission module is used to transmit vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information.

[0009] Optionally, the vibration risk analysis module includes a vibration risk index calculation submodule and a vibration risk information generation submodule; the vibration risk index calculation submodule is used to calculate the vibration risk index based on vibration data, time data and material data; the vibration risk information generation submodule is used to generate vibration risk information based on the vibration risk index.

[0010] Optionally, the electromagnetic interference risk analysis module includes an electromagnetic interference risk index calculation submodule and an electromagnetic interference risk information generation submodule; the electromagnetic interference risk index calculation submodule is used to calculate the electromagnetic interference risk index based on electromagnetic interference data, output power data and operating frequency data; the electromagnetic interference risk information generation submodule is used to generate electromagnetic interference risk information based on the electromagnetic interference risk index.

[0011] A multifunctional monitoring method for a solar power generation system is applied to a multifunctional monitoring system for a solar power generation system as described above. The multifunctional monitoring method for a solar power generation system comprises: S1, conducts distributed sensor monitoring of the solar power generation system to collect vibration data, electromagnetic interference data, and grid frequency fluctuation data; S2, respectively performing vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis on the vibration data, electromagnetic interference data and power grid frequency fluctuation data, and outputting risk analysis information; S3, generating and executing emergency warning information based on risk analysis information; S4, stores and transmits vibration data, electromagnetic interference data, grid frequency fluctuation data, risk analysis information and emergency warning information.

[0012] The beneficial effects achieved by the present invention are: Through the setting of sensor network terminal, central processing terminal, emergency warning terminal and data management terminal and the setting of vibration sensor module, electromagnetic interference monitoring module and power grid fluctuation monitoring module, the independent sensor module can collect various main parameters of the solar power generation system at the same time, and the monitoring accuracy is increased through the monitoring mode of central processing and emergency warning, which is conducive to improving the system's monitoring quality of the solar power generation system; Through the setting of vibration risk analysis module, electromagnetic interference risk analysis module, power grid fluctuation risk analysis module and risk analysis information output module, multi-dimensional risk analysis of vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis is realized, which improves the accuracy of generating vibration risk information, electromagnetic interference risk information and power grid fluctuation risk information, thereby facilitating the improvement of the accuracy of risk analysis information, and thus facilitating the improvement of the system's monitoring quality of solar power generation system; Through the setting of vibration warning module, electromagnetic interference warning module, power grid fluctuation warning module and emergency warning information output module, the synchronous operation of multi-dimensional warning is realized, which improves the generation efficiency and accuracy of emergency warning information, thus helping to improve the system's monitoring quality of solar power generation system; By setting up the vibration risk index calculation submodule and the vibration risk information generation submodule in conjunction with the vibration risk index algorithm, efficient calculation of the vibration risk index is achieved, which is beneficial to optimizing the vibration risk analysis process and improving the generation efficiency and accuracy of vibration risk information, thereby improving the system's monitoring quality of the solar power generation system; By setting up the electromagnetic interference risk index calculation submodule and the electromagnetic interference risk information generation submodule in conjunction with the electromagnetic interference risk index algorithm, efficient calculation of the electromagnetic interference risk index is achieved, which is beneficial to optimizing the electromagnetic interference risk analysis process and improving the generation efficiency and accuracy of the electromagnetic interference risk analysis information, thereby helping to improve the system's monitoring quality of the solar power generation system; Through the setting of the power grid fluctuation risk analysis submodule, the power grid fluctuation risk information generation submodule and the dynamic power adjustment submodule in conjunction with the dynamic power adjustment algorithm, the adaptive adjustment function of adjusting the output power of the power generation system according to the power grid fluctuation risk analysis results is realized, which is beneficial to improving the output quality of the solar power generation system and the accuracy of the power grid fluctuation risk information, thereby helping to improve the system's monitoring quality of the solar power generation system.

[0013] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and description and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall structure of the present invention; Figure 2 It is a structural schematic diagram of the vibration risk analysis module in the present invention; Figure 3 It is a structural schematic diagram of the electromagnetic interference risk analysis module in the present invention; Figure 4A schematic diagram of a method flow of a multifunctional monitoring method for a solar power generation system in the present invention; Figure 5 Schematic diagram of the structure of a power grid fluctuation risk analysis module in another embodiment of the present invention. DETAILED DESCRIPTION

[0015] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual dimensions. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0016] Embodiment 1: This embodiment provides a multifunctional monitoring system for a solar power generation system. Figure 1 As shown, a multifunctional monitoring system for a solar power generation system comprises a sensor network terminal, a central processing terminal, an emergency warning terminal and a data management terminal; the sensor network terminal is used to perform distributed sensor monitoring on the solar power generation system, and collect vibration data, electromagnetic interference data and grid frequency fluctuation data; the central processing terminal is used to perform vibration risk analysis, electromagnetic interference risk analysis and grid fluctuation risk analysis on the vibration data, electromagnetic interference data and grid frequency fluctuation data, respectively, and output risk analysis information; the emergency warning terminal is used to generate and execute emergency warning information according to the risk analysis information; the data management terminal is used to store and transmit vibration data, electromagnetic interference data, grid frequency fluctuation data, risk analysis information and emergency warning information; The sensor network terminal includes a vibration sensing module, an electromagnetic interference monitoring module and a power grid fluctuation monitoring module; the vibration sensing module is used to detect the vibration data of the photovoltaic panels in the solar power generation system in real time; the electromagnetic interference monitoring module is used to detect the electromagnetic interference data of the inverter in the solar power generation system in real time; the power grid fluctuation monitoring module is used to detect the power grid frequency fluctuation data of the power grid in the solar power generation system in real time.

[0017] Optionally, the central processing terminal includes a vibration risk analysis module, an electromagnetic interference risk analysis module, a power grid fluctuation risk analysis module and a risk analysis information output module; the vibration risk analysis module is used to perform vibration risk analysis on photovoltaic panels according to vibration data, and generate vibration risk information; the electromagnetic interference risk analysis module is used to perform electromagnetic interference risk analysis on inverters according to electromagnetic interference data, and generate electromagnetic interference risk information; the power grid fluctuation risk analysis module is used to perform power grid fluctuation risk analysis on the power grid according to power grid frequency fluctuation data, and generate power grid fluctuation risk information; the risk analysis information output module is used to generate and output risk analysis information based on vibration risk information, electromagnetic interference risk information and power grid fluctuation risk information.

[0018] Optionally, the emergency warning terminal includes a vibration warning module, an electromagnetic interference warning module, a power grid fluctuation warning module and an emergency warning information output module; the vibration warning module is used to generate vibration warning information based on the vibration risk information in the risk analysis information; the electromagnetic interference warning module is used to generate electromagnetic interference warning information based on the electromagnetic interference risk information in the risk analysis information; the power grid fluctuation warning module is used to generate power grid fluctuation warning information based on the power grid fluctuation risk information in the risk analysis information; the emergency warning information output module is used to output emergency warning information based on the vibration warning information, electromagnetic interference warning information and power grid fluctuation warning information.

[0019] Optionally, the data management terminal includes a data storage module and a data transmission module; the data storage module is used to store vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information; the data transmission module is used to transmit vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information.

[0020] Optional, combined Figure 2 As shown, the vibration risk analysis module includes a vibration risk index calculation submodule and a vibration risk information generation submodule; the vibration risk index calculation submodule is used to calculate the vibration risk index according to vibration data, time data and material data; the vibration risk information generation submodule is used to generate vibration risk information according to the vibration risk index.

[0021] Specifically, when the vibration risk index calculation submodule is working, the following formula is satisfied: ; Among them, R f Represents the vibration risk index; M iRepresents the vibration amplitude of the ith time in the vibration data; N represents the total number of tests; β represents the attenuation coefficient in the material data. The material with a larger damping coefficient has a faster attenuation rate, and the vibration will disappear quickly, while the material with a smaller damping coefficient has a longer vibration duration. Therefore, for materials with a larger damping coefficient, a larger β value is set to indicate that the vibration decays quickly. For materials with a smaller damping coefficient, the β value is smaller to indicate that the vibration lasts longer. The specific value is set by the administrator based on experience or confirmed by experiments; i represents the sequence number of each test in the vibration data; w represents the vibration frequency, which is directly obtained from the vibration data of the total test time; φ represents the initial phase, which is directly obtained from the initial vibration state in the vibration data; the formula uses vibration frequency and attenuation characteristics to evaluate the structural stability of photovoltaic panels. Combined with spatiotemporal data analysis, it can predict possible material fatigue or structural damage. When it is detected that the vibration frequency of the photovoltaic panel increases abnormally and the attenuation rate accelerates, the system prompts that there may be structural problems and recommends inspection or reinforcement. That is: when R f ≥r ref When the vibration risk information generation submodule generates vibration risk information for indicating that the vibration risk exceeds the standard, r ref Indicates the vibration risk threshold, which is set by the administrator based on experience.

[0022] A preferred example is given below: A solar power generation site is located in an area with strong winds and is exposed to strong winds for a long time. The photovoltaic panels accumulate vibrations due to frequent wind impacts, which eventually causes material fatigue or structural damage. In this scenario, the known parameters are as follows: the vibration sensor detected that the average vibration frequency of the photovoltaic panel was 15 Hz in the past 24 hours, and the detection was performed once an hour, N=24, the vibration amplitude M1 of the first detection was 0.015, and the vibration amplitudes of the remaining 23 detections were 0.018, 0.016, 0.019, 0.019, 0.021, 0.020, 0.023, 0.025, 0.024, 0.022, 0.026, 0.028, 0.030, 0.027, 0.029, 0.031, 0.033, 0.032, 0.034, 0.035, 0.037, 0.036, 0.038, and the vibration amplitude units were all mm; the attenuation coefficient of the material was 0.1; and the initial phase was 0. Then the attenuation coefficient term of the 24 detections is They are 0.9048, 0.8187, 0.7408, 0.6703, 0.6065, 0.5488, 0.4966, 0.4493, 0.4066, 0.3679, 0.3329, 0.3012, 0.2725, 0.2466, 0.2231, 0.2019, 0.1827, 0.1653, 0.1496, 0.1353, 0.1225, 0.1108, 0.1003, and 0.0907 respectively; the sine function term of 24 tests In the equation, due to the periodicity of the sine function, only the 12th value is 0.7071, and the rest are 0; so R f= = = In this example, due to the selection of vibration frequency, the vibration at most time points is eliminated in the sine function, and only a small vibration contribution is made in the 12th detection. f =0.00554 is relatively low, which means that in this specific environment and frequency, the structural fatigue risk of the photovoltaic panel is low. However, if the vibration frequency or other parameters change, it may lead to different vibration risk indexes, thereby issuing different early warning signals. This result shows that the monitoring system can accurately identify the cumulative effect of small vibrations of photovoltaic panels under specific conditions and warn of potential risks in advance, thereby ensuring the long-term stability of the system.

[0023] Optional, combined Figure 3 As shown, the electromagnetic interference risk analysis module includes an electromagnetic interference risk index calculation submodule and an electromagnetic interference risk information generation submodule; the electromagnetic interference risk index calculation submodule is used to calculate the electromagnetic interference risk index based on the electromagnetic interference data, output power data and operating frequency data; the electromagnetic interference risk information generation submodule is used to generate electromagnetic interference risk information based on the electromagnetic interference risk index.

[0024] Specifically, when the electromagnetic interference risk index calculation submodule is working, the following formula is satisfied: ; Among them, P out represents the electromagnetic interference risk index at time t, that is, the output power of the inverter; P inRepresents the input frequency; EMI(t) represents the electromagnetic interference intensity of the inverter at time t, and the data is directly obtained by the electromagnetic interference monitoring equipment; K represents the electromagnetic interference coefficient. The stronger the anti-interference ability of the inverter, the smaller the K value, because the impact of electromagnetic interference on its output power is small. The weaker the anti-interference ability, the larger the K value, indicating that the impact of electromagnetic interference on it is more significant. The specific value is set by the administrator based on experience or determined based on historical data; f(t) represents the operating frequency of the inverter at time t. Time t represents the time for calculating the electromagnetic interference risk index. Electromagnetic interference will affect the efficiency and stability of the inverter. By quantifying this impact through formulas, the system can reduce the operating frequency or adjust the output in time when the interference is large to reduce the impact on the power grid. When the system detects high-intensity electromagnetic interference, it will automatically reduce the operating frequency of the inverter and adjust the output power appropriately to ensure power generation stability. That is: when P out ≤p ref When the electromagnetic interference risk information generation submodule generates electromagnetic interference risk information indicating that the electromagnetic interference risk exceeds the standard.

[0025] Example: In some industrial areas, the inverter of the solar power generation system is subject to electromagnetic interference from nearby large electrical equipment, resulting in a decrease in power generation efficiency. The known parameters are as follows: the input power of the inverter is 5000W, EMI(t) is 1, K=0.02, f(t)=60Hz. The calculation of the electromagnetic interference risk index is as follows: ; The increase in interference intensity will lead to a significant decrease in power output. Based on this result, the system can take measures, such as reducing the operating frequency or adjusting shielding measures in a timely manner, to reduce the impact of electromagnetic interference.

[0026] In summary, through the setting of sensor network terminals, central processing terminals, emergency warning terminals and data management terminals and the setting of vibration sensor modules, electromagnetic interference monitoring modules and power grid fluctuation monitoring modules, it is possible to realize that independent sensor modules simultaneously collect various main parameters of the solar power generation system, and the monitoring accuracy is increased through the monitoring mode of central processing and emergency warning; through the setting of vibration risk analysis module, electromagnetic interference risk analysis module, power grid fluctuation risk analysis module and risk analysis information output module, multi-dimensional risk analysis of vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis is realized, and the accuracy of generating vibration risk information, electromagnetic interference risk information and power grid fluctuation risk information is improved, which is conducive to improving the accuracy of risk analysis information; through the vibration warning module, electromagnetic interference warning module, The setting of the power grid fluctuation warning module and the emergency warning information output module realizes the synchronous operation of multi-dimensional warnings and improves the generation efficiency and accuracy of emergency warning information; through the setting of the vibration risk index calculation submodule and the vibration risk information generation submodule in conjunction with the vibration risk index algorithm, the efficient calculation of the vibration risk index is achieved, which is beneficial to optimize the vibration risk analysis process and improve the generation efficiency and accuracy of vibration risk information; through the setting of the electromagnetic interference risk index calculation submodule and the electromagnetic interference risk information generation submodule in conjunction with the electromagnetic interference risk index algorithm, the efficient calculation of the electromagnetic interference risk index is achieved, which is beneficial to optimize the electromagnetic interference risk analysis process and improve the generation efficiency and accuracy of electromagnetic interference risk analysis information, thereby helping to improve the system's monitoring quality of the solar power generation system.

[0027] A multifunctional monitoring method for a solar power generation system is applied to a multifunctional monitoring system for a solar power generation system as described above, combined with Figure 4 As shown, the multifunctional monitoring method of the solar power generation system includes: S1, conducts distributed sensor monitoring of the solar power generation system to collect vibration data, electromagnetic interference data, and grid frequency fluctuation data; S2, respectively performing vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis on the vibration data, electromagnetic interference data and power grid frequency fluctuation data, and outputting risk analysis information; S3, generating and executing emergency warning information based on risk analysis information; S4, stores and transmits vibration data, electromagnetic interference data, grid frequency fluctuation data, risk analysis information and emergency warning information.

[0028] Embodiment 2: This embodiment includes all the contents of embodiment 1, and provides a multifunctional monitoring system for a solar power generation system. Figure 5As shown, the power grid fluctuation risk analysis module includes a power grid fluctuation risk analysis submodule, a power grid fluctuation risk information generation submodule and a dynamic power adjustment submodule; the power grid fluctuation risk analysis submodule is used to perform power grid fluctuation risk analysis based on power grid fluctuation frequency data and power grid status information; the power grid fluctuation risk analysis process is: first read the key parameters in the power grid fluctuation frequency data and power grid status information, such as voltage, current, frequency, power factor, line status and equipment health status, and then remove data noise through data analysis and filtering processing, select machine learning algorithm models such as random forest, support vector machine, neural network, etc. trained with historical data, and input the identified effective parameters into the machine learning algorithm model to identify the power grid fluctuation risk situation to obtain effective parameters; the input of the machine learning algorithm model is the power grid fluctuation frequency data and power grid status information. The dynamic information is output as different risk levels corresponding to the power grid fluctuation risk; in general, the power grid fluctuation risk exists since the power grid starts working, and only the level of risk will change over time; the purpose of power grid fluctuation analysis is not to determine whether there is a risk. Referring to the above description of the power grid fluctuation risk analysis process, it can be seen that the power grid fluctuation risk analysis process is to analyze the effective parameters by reading and analyzing key data, which is a data analysis and processing process; the result of the power grid fluctuation risk analysis is the effective parameter (i.e., the different risk levels corresponding to the power grid fluctuation risk); the dynamic power adjustment submodule is used to adjust the output power of the power generation system according to the results of the power grid fluctuation risk analysis; the power grid fluctuation risk information generation submodule is used to generate corresponding power grid fluctuation risk information according to the results of the power grid fluctuation risk analysis and the adjusted output power. The power grid fluctuation risk information is information that presents the results of the power grid fluctuation risk analysis and the adjusted output power in a graphical visualization manner, and directly presents risk information of different data for administrators to view at the same time. By presenting the effective parameters obtained in the power grid fluctuation risk analysis process and the adjusted output power at the same time for information display, it is convenient for administrators to view information and also convenient for administrators to better analyze information.

[0029] When the dynamic power adjustment submodule is working, the following formula is satisfied: ; Among them, P z (t) represents the output power of the power generation system after adjustment at time t; the time t is the corresponding monitoring time of the system. For example, if the system is monitored in minutes, t is the value corresponding to the current minute hand, and P0 represents the standard output power of the power generation system; η1 represents the power adjustment coefficient. The longer the working time of the solar power generation system is, the larger the value of the power adjustment coefficient is. The specific value is set by the administrator based on experience or confirmed based on historical data; f g Indicates the grid frequency; Δfg It indicates the amplitude of grid frequency fluctuation; η2 indicates the grid phase difference, which is directly measured by the grid phase difference measuring instrument; σ indicates the frequency fluctuation sensitivity coefficient. The stronger the anti-fluctuation ability of the solar power generation system is, the smaller the frequency fluctuation sensitivity is. The specific value is determined by experiments or by the coupling characteristics of the power generation system and the grid. The fluctuation of grid frequency will directly affect the stability of the power generation system. Through real-time analysis of grid frequency fluctuation and power adjustment, the instability of the grid caused by solar power generation can be eliminated to a certain extent.

[0030] Example scenario: The solar power generation system is connected to an area where the power grid load fluctuates greatly. The power load in the area changes rapidly, resulting in large fluctuations in the power grid frequency. The system needs to adapt to frequency changes to avoid affecting the stability of the power grid. The known parameters are as follows: P0=10000W, f g The grid frequency is 50Hz, Δf g The frequency fluctuation amplitude is 0.5Hz, the η1 power adjustment coefficient is 0.05, the η2 phase difference is 0, and the σ frequency fluctuation sensitivity coefficient is 2. The output power of the adjusted power generation system is calculated as follows: ; If at time t, , ; This shows that when the grid frequency fluctuates greatly, the system output power will be significantly reduced to avoid impact on the grid. The system can further adjust the power dispatch strategy according to actual needs to ensure the stability of the grid frequency. The example shows how the system uses the parameters calculated and analyzed by complex formulas to judge and adjust the operating status of the solar power generation system in actual applications. This not only enhances the stability and security of the system, but also ensures the efficient operation of the system in complex environments.

[0031] To sum up, through the setting of the grid fluctuation risk analysis submodule, the grid fluctuation risk information generation submodule and the dynamic power adjustment submodule in conjunction with the dynamic power adjustment algorithm, the adaptive adjustment function of adjusting the output power of the power generation system according to the grid fluctuation risk analysis results is realized, which is beneficial to improving the output quality of the solar power generation system and the accuracy of the grid fluctuation risk information, thereby helping to improve the system's monitoring quality of the solar power generation system.

[0032] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A multifunctional monitoring system for a solar power generation system, characterized in that: It includes a sensor network terminal, a central processing terminal, an emergency warning terminal and a data management terminal; the sensor network terminal is used to perform distributed sensor monitoring on the solar power generation system, collect vibration data, electromagnetic interference data and power grid frequency fluctuation data; the central processing terminal is used to perform vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis on the vibration data, electromagnetic interference data and power grid frequency fluctuation data, and output risk analysis information; The emergency warning terminal is used to generate and execute emergency warning information according to risk analysis information; The data management terminal is used to store and transmit vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information; The sensor network terminal includes a vibration sensing module, an electromagnetic interference monitoring module and a power grid fluctuation monitoring module; the vibration sensing module is used to detect the vibration data of the photovoltaic panels in the solar power generation system in real time; the electromagnetic interference monitoring module is used to detect the electromagnetic interference data of the inverter in the solar power generation system in real time; the power grid fluctuation monitoring module is used to detect the power grid frequency fluctuation data of the power grid in the solar power generation system in real time.

2. A multifunctional monitoring system for a solar power generation system as claimed in claim 1, characterized in that: The central processing terminal includes a vibration risk analysis module, an electromagnetic interference risk analysis module, a power grid fluctuation risk analysis module and a risk analysis information output module; the vibration risk analysis module is used to perform vibration risk analysis on the photovoltaic panel according to the vibration data and generate vibration risk information; The electromagnetic interference risk analysis module is used to perform electromagnetic interference risk analysis on the inverter according to the electromagnetic interference data to generate electromagnetic interference risk information; The power grid fluctuation risk analysis module is used to perform power grid fluctuation risk analysis on the power grid according to the power grid frequency fluctuation data, and generate power grid fluctuation risk information; The risk analysis information output module is used to generate and output risk analysis information according to vibration risk information, electromagnetic interference risk information and power grid fluctuation risk information.

3. A multifunctional monitoring system for a solar power generation system as claimed in claim 2, characterized in that: The emergency warning terminal includes a vibration warning module, an electromagnetic interference warning module, a power grid fluctuation warning module and an emergency warning information output module; the vibration warning module is used to generate vibration warning information according to the vibration risk information in the risk analysis information; the electromagnetic interference warning module is used to generate electromagnetic interference warning information according to the electromagnetic interference risk information in the risk analysis information; the power grid fluctuation warning module is used to generate power grid fluctuation warning information according to the power grid fluctuation risk information in the risk analysis information; The emergency warning information output module is used to output emergency warning information according to vibration warning information, electromagnetic interference warning information and power grid fluctuation warning information.

4. A multifunctional monitoring system for a solar power generation system as claimed in claim 3, characterized in that: The data management terminal includes a data storage module and a data transmission module; the data storage module is used to store vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information; the data transmission module is used to transmit vibration data, electromagnetic interference data, power grid frequency fluctuation data, risk analysis information and emergency warning information.

5. A multifunctional monitoring system for a solar power generation system as claimed in claim 4, characterized in that: The vibration risk analysis module includes a vibration risk index calculation submodule and a vibration risk information generation submodule; the vibration risk index calculation submodule is used to calculate the vibration risk index according to vibration data, time data and material data; the vibration risk information generation submodule is used to generate vibration risk information according to the vibration risk index.

6. A multifunctional monitoring system for a solar power generation system as claimed in claim 5, characterized in that: The electromagnetic interference risk analysis module includes an electromagnetic interference risk index calculation submodule and an electromagnetic interference risk information generation submodule; the electromagnetic interference risk index calculation submodule is used to calculate the electromagnetic interference risk index according to the electromagnetic interference data, the output power data and the operating frequency data; The electromagnetic interference risk information generating submodule is used to generate electromagnetic interference risk information according to the electromagnetic interference risk index.

7. A multifunctional monitoring method for a solar power generation system, applied to a multifunctional monitoring system for a solar power generation system as claimed in claim 6, characterized in that: The multifunctional monitoring method of the solar power generation system comprises: S1, conducts distributed sensor monitoring of the solar power generation system to collect vibration data, electromagnetic interference data, and grid frequency fluctuation data; S2, respectively performing vibration risk analysis, electromagnetic interference risk analysis and power grid fluctuation risk analysis on the vibration data, electromagnetic interference data and power grid frequency fluctuation data, and outputting risk analysis information; S3, generate and execute emergency warning information based on risk analysis information; S4, stores and transmits vibration data, electromagnetic interference data, grid frequency fluctuation data, risk analysis information and emergency warning information.

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