Abstract
The evaluation of equipment importance is an important part of the operation and maintenance management and its purpose is to identify the key equipment which has important influence on the reliable operation of the power station. On the basis of grey clustering theory, the paper firstly establishes the analysis model of photovoltaic (pv) power station equipment importance and the weights of factors in the target hierarchy is solved by using the judgment matrix in analytic hierarchy process. Secondly, according to the whitenization weight function of the grey clustering, pv equipment is classified into three types: key equipment, vital equipment and general equipment, which lays the foundation for the equipment maintenance strategy choice. Finally, an application example verifies the practicality and scientificity of the proposed method.
Highlights
In recent years, photovoltaic power generation has received the attention of all countries and has developed rapidly with the exhaustion of traditional fossil energy and the management of environmental pollution problems
The selection of equipment maintenance modes is generally based on equipment classification, so equipment importance evaluation is the foundation of equipment maintenance
The important analysis of equipment is on the premise of the safe operation and is classified based on the importance of equipment, prepares a table for the corresponding inspection cycles, methods and contents according to different level of equipment importance, which make the equipment maintenance management more scientific
Summary
Photovoltaic power generation has received the attention of all countries and has developed rapidly with the exhaustion of traditional fossil energy and the management of environmental pollution problems. In order to ensure the photovoltaic power station as heavy assets running safely and reliably for a long time, the equipment of the system needs to be inspected and maintained. The important analysis of equipment is on the premise of the safe operation and is classified based on the importance of equipment, prepares a table for the corresponding inspection cycles, methods and contents according to different level of equipment importance, which make the equipment maintenance management more scientific. Equipment importance evaluation mainly adopts multipliers and analytical methods which are based on hierarchical analysis and fuzzy clustering analysis. The paper adopts the method of grey clustering to evaluate the importance of equipment
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