Parameter identification-based photovoltaic power generation system fault diagnosis method and system
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A photovoltaic power generation system, fault diagnosis technology, applied in photovoltaic power generation, photovoltaic system monitoring, photovoltaic modules and other directions, can solve problems such as photovoltaic power generation system fault diagnosis
Inactive Publication Date: 2016-11-02
HOHAI UNIV CHANGZHOU
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[0004] The purpose of the present invention is to provide a method and system for fault diagnosis of photovoltaic power generation system based on parameter identification, so as to solve the technical problems of fault diagnosis of photovoltaic power generation system
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Embodiment 1
[0061] Such as figure 1 with figure 2 As shown, a fault diagnosis method of a photovoltaic power generation system of the present invention includes the following steps:
[0062] Step S1, establishing a fault diagnosis model of the photovoltaic power generation system and obtaining an optimal solution;
[0063] Step S2, training the fault diagnosis model; and
[0064] Step S3, perform fault diagnosis on the photovoltaic power generation system through the trained fault diagnosis model.
[0065] Specifically, the method for establishing the fault diagnosis model of the photovoltaic power generation system in the step S1 includes: obtaining the I-U curve of the photovoltaic power generation system according to the data of the photovoltaic power station in each working state, and establishing the parameter identification based on the mismatch condition. The fault diagnosis model, and the simulation of the measured I-U curve, realize parameter identification, and obtain the op...
Embodiment 2
[0098] On the basis of embodiment 1, this embodiment 2 also provides a fault diagnosis system for a photovoltaic power generation system, including: a fault diagnosis model for a photovoltaic power generation system, that is, after training the fault diagnosis model, the photovoltaic power generation system can be Troubleshooting.
[0099] Wherein, for methods such as establishment and training of the fault diagnosis model, please refer to the relevant discussion in Embodiment 1, and details are not repeated here.
[0100] Input the test sample or real-time sample of the photovoltaic power generation system into the fault diagnosis model for fault diagnosis, obtain the fault state corresponding to the fault diagnosis parameter sample, judge whether the photovoltaic power generation system is in a fault state, and give the corresponding fault if it is in a fault state Type (open circuit and short circuit of photovoltaic cell modules, inverter overload, control system failure, e...
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Abstract
The invention relates to a parameter identification-based photovoltaic power generation system fault diagnosis method and a parameter identification-based photovoltaic power generation system fault diagnosis system. The parameter identification-based photovoltaic power generation system fault diagnosis method includes the following steps that: the fault diagnosis model of a photovoltaic power generation system is built, and the optimal solutions of the fault diagnosis model are obtained; the fault diagnosis model is trained; and fault diagnosis is carried out on the photovoltaic power system based on the trained fault diagnosis model. According to the parameter identification-based photovoltaic power generation system fault diagnosis method of the invention, according to problems which easily appear in the photovoltaic power generation system, namely, open-circuiting and short-circuiting of a photovoltaic battery assembly, the overload of an inverter and the failure of a control system, the parameter identification-based photovoltaic power generation system fault diagnosis model under a mismatch condition is built; an I-U curve is obtained according to the data of a photovoltaic power plant in different working conditions; analog simulation is carried out on the actually-measured I-U curve, so that the optimal solutions of the parameters of the model are obtained; an RBF neural network is utilized to train the model, so that the trained fault diagnosis model is obtained; and test samples or real-time samples of the photovoltaic power plant are inputted to the model, so that fault diagnosis can be carried out.
Description
technical field [0001] The invention relates to a parameter identification-based fault diagnosis method for a photovoltaic power station, which belongs to the technical field of new energy control. Background technique [0002] Since the beginning of the 21st century, with global warming and the continuous consumption of natural energy, the world's global resources have become more and more tense, and the world is facing unprecedented energy crises and challenges. Solar energy, wind energy and other renewable new energy sources increasingly people's attention. In recent years, the domestic solar photovoltaic industry has developed rapidly. The output of photovoltaic modules of various photovoltaic enterprises has increased year by year, and the number of photovoltaic power stations that have been built or are under construction in the country is also increasing rapidly. [0003] In the entire photovoltaic power generation system, it is inevitable that there will be local de...
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