电瓷避雷器Issue(2)：19-26,33,9.DOI:10.16188/j.isa.1003-8337.2025.02.003
基于BTO算法的金属氧化物避雷器老化在线监测研究
Aging Online Monitoring of Metal Oxide Arrester Based on BTO Algorithm
摘要
Abstract
To effectively solve the problem of online monitoring of metal oxide arrester(MOA),an origi-nal online monitoring technology of MOA based on budorcas taxicolor optimization(BTO)algorithm is presented.The MOA equivalent model is established according to the parameters that can effectively re-flect the aging state of MOA(i.e.nonlinear coefficient k,αand capacitance C).Through the excellent optimization ability of the BTO algorithm,the precise solution of the parameters of the MOA equivalent model can be found,and the aging state of the MOA is estimated accurately.Matlab simulations verify that BTO algorithm can solve MOA model parameters accurately via the harmonic voltage,voltage fluctua-tion and frequency fluctuation in the power grid system.Simulation results show that the leakage current calculated by BTO algorithm can well fit the actual leakage current of MOA,and BTO algorithm can com-pletely eliminate the influence of harmonic voltage,voltage fluctuation and frequency fluctuation in the power grid,and all the solution errors of parameters k,αand C converge to zero.Therefore,the experi-mental results further indicate that the proposed BTO algorithm has great anti-interference and stability,and effectively improves the accuracy of aging online monitoring of MOA.关键词
金属氧化物避雷器/老化在线监测/羚牛优化算法/阻性电流Key words
metal oxide arrester/aging online monitoring/budorcas taxicolor optimization algorithm/re-sistive current引用本文复制引用
张智军,丁勇,任肖辉..基于BTO算法的金属氧化物避雷器老化在线监测研究[J].电瓷避雷器,2025,(2):19-26,33,9.基金项目
国家自然科学基金(编号:61976096) （编号:61976096）
国家高层次人才专项支持计划(编号:C7220060). Project supported by National Natural Science Foundation of China(NSFC)(No.61976096) （编号:C7220060）
National High Level Talent Special Sup-port Plan(No.C7220060). （No.C7220060）
