优化的SOA算法在MOA老化在线监测中的应用  

Application of Optimized SOA Algorithm in On-Line Monitoring of MOA Aging

作　　者：于忠江 杨仲江[1,2] 林逸竞 YU Zhongjiang;YANG Zhongjiang;LIN Yijing(Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration,Nanjing University of Information Science&Technology,Nanjing 210044,China;School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing 210044,China;Meteorological Bureau of Chenghai District,Shantou 515800,China)

机构地区：[1]南京信息工程大学中国气象局气溶胶与云降水重点开放实验室,南京210044 [2]南京信息工程大学大气物理学院,南京210044 [3]广东省汕头市澄海区气象局,广东汕头515800

出　　处：《电瓷避雷器》2019年第4期10-16,21,共8页Insulators and Surge Arresters

基　　金：国家自然科学基金项目(编号:41175003);江苏高校优势学科建设工程资助项目(PAPD)资助

摘　　要：为解决金属氧化物避雷器(MOA)老化在线监测问题,对人群搜索算法(SOA)进行了优化并将其应用于MOA老化状况在线监测.该算法通过适应度值的变化动态改变高斯函数的参数,从而自适应地确定搜索步长,进而通过求解MOA等效模型中能够反映其老化状况的参数C、k、α达到在线监测的目的.通过MATLAB仿真电网中的谐波电压、电网频率波动、电压波动研究该算法的性能.研究表明:本文所提出的优化的人群搜索算法(OSOA)具有更快的收敛速度,且该算法不受电网中谐波电压、频率波动、电压波动的影响;当电网中存在谐波电压、频率波动及电压波动时,本文所提出的算法求解出的C、k、α值最大相对误差分别为8.33×10^-4%、0、3.33×10^-3%.因此,该算法具有很好的抗干扰性,能够较好地应用在MOA的老化在线监测技术中.In order to solve the problem of on-line monitoring of metal oxide arrester(MOA)aging,an on-line monitoring method for MOA's aging condition based on optimized seeker optimization algorithm(OSOA)is proposed in this paper.The algorithm changes the parameters of the Gauss function dynamically with the fitness value changing,and then adaptively determines the search step size.By solving the parameters C,k and a that can reflect the MOA's aging status in the MOA equivalent model can be monitored online.The harmonic voltage,frequency fluctuation and voltage fluctuation are simulated by MATLAB for investigating the performance of the algorithm.The research shows that:the optimized seeker optimization algorithm(OSOA)proposed in this paper has faster convergence speed,and the algorithm is not affected by harmonic voltage,frequency fluctuation and voltage fluctuation in power grid;the maximum relative error of parameters C,k and a calculated by OSOA is 8.33×10^-4%,0 and 3.33×10^-3%respectively when there is harmonic voltage,frequency fluctuation and voltage fluctuation in power grid.Therefore,this algorithm has better anti-interference performance,and can be well applied in MOA aging online monitoring technology.

关 键 词：金属氧化物避雷器(M0A) 优化的人群搜索算法(OSOA) 老化 在线监测 

分 类 号：TM8[电气工程—高电压与绝缘技术]