Photovoltaic power station fault diagnosis method based on fuzzy production rule knowledge base

Abstract

The invention relates to a photovoltaic power station fault diagnosis method based on a fuzzy production rule knowledge base, and belongs to the technical field of electric engineering informatization. According to the method, firstly, the field knowledge of photovoltaic power station equipment warning and fault information is stored in a fact and rule form for forming a fault information knowledge base; then, fuzzy logics are adopted for carrying out qualitative analysis on the fault information base of photovoltaic power station equipment, and a judging rule between a fault phenomenon and a reason is determined; detected fault feature vectors are subjected to fuzzy matching with each rule antecedent in a rule base; and according to the matching relationship between the fault phenomenon and the judging rule, the fault diagnosis reason and the result are determined, the fault is positioned, and an overhaul decision scheme is given. The photovoltaic power station fault diagnosis method has the advantages that the final fault or the most possible fault can be fast searched and positioned; meanwhile, the knowledge base is inquired to obtain the overhaul decision; the overhaul decision is provided for overhaul personnel, so that the overhaul personnel can shorten the fault inquiry time; the goal of fast repairing fault equipment is achieved; and the power station machine halt time is reduced, or the power station machine halt is avoided.

Description

technical field [0001] The invention relates to a photovoltaic power station fault diagnosis method based on a fuzzy production rule knowledge base, and belongs to the technical field of electric power engineering informatization. Background technique [0002] With the increasingly prominent global ecological and environmental problems, vigorously developing renewable energy has become an important energy industry policy. Photovoltaic power generation has the characteristics of less pollution, reasonable energy efficiency utilization, and good system economy. It has become a form of energy power generation vigorously promoted by the country in rural areas and cities. . With the large-scale construction of photovoltaic power plants, there are problems such as difficulty in grasping equipment operation information in real time, frequent faults and difficult positioning. The fault diagnosis expert system was proposed earlier, but there are still problems in the system structure...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a photovoltaic power plant fault diagnosis method based on the fuzzy production rule knowledge base to solve the problem of insufficient updating ability in the existing fault diagnosis and the inability to meet the requirements of on-site intelligent diagnosis

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