基于状态量优化的氧化锌避雷器健康状态评估研究OA

Zinc oxide(ZnO)arresters are of great significance for ensuring the safety of main equipment in power grid.However,with the continuous increase of equipment scale and the relatively slow growth of operation and maintenance resources,timely detection of degraded arresters faces challenges.The author studies the health status evaluation method of arresters based on state quantity optimization,providing ref-erence for optimizing operation and maintenance strategies under the condition of significantly increasing equipment scale.The researcher first analyzes the fault characteristics of ZnO arresters.It is found that defects such as moisture or deterioration of ZnO varistors can be effectively detected by leakage current detection or infrared thermal imaging.Propose an optimized state quantity for conducting state assessment without power outage to address typical defects such as moisture and deterioration of ZnO varistors;Sub-sequently,a health assessment model for arresters based on optimized state variables was established.By combining segmented deduction of different state variables with direct single deduction,the accuracy of arrester state assessment results was improved.Finally,the evaluation model was applied to the actual operation and maintenance of arresters,proving that it has certain application value for effectively detec-ting arrester defects.