Evaluation on Health Status of Microgrid Equipment in Tropical Islands Based on D-S Evidence Theory

In order to improve the reliability of electrical equipment for isolated microgrids in tropical islands, it is necessary to accurately assess the health status of key equipment to carry out differentiated operation and maintenance. We propose a health status assessment model that comprehensively considers multi-dimensional information such as equipment operating parameters, meteorological environment, operation and maintenance history, and equipment resume. Based on D-S evidence theory, multi-source data is fused and analyzed, and the effectiveness of the assessment model is verified using a diesel generator as an example. The results show that the defects of diesel generators are mainly concentrated in five major functional systems, including fuel, startup, heat dissipation, electrical, and motive power systems. Among them, the number of defects involving power and electrical systems is relatively large and the severity of defects is higher. About 40% of the defects involving environmental impacts. According to the defect type and experience, the health status under different defects is given, and then the trust allocation function is preset. The credibility of the integrated assessment results of diesel generator's health status is significantly improved compared to using single assessment information. Our study can provide a reference for the differentiated operation and maintenance of microgrid equipment in tropical islands.