摘要
针对车载变压器局部放电难以精确定位的情况,提出了一种基于局部放电超声波信号的协同定位算法,以提高车载变压器局部放电的定位精度。综合差分进化算法和粒子群优化算法的优点,提出了一种混合的DE-PSO算法,利用计算结果对代价函数进行修正,并将计算结果作为牛顿法的初值,经迭代后得到精确的局部放电源位置。仿真和试验结果表明,与传统的智能算法相比,具有精度高、鲁棒性强等优点,能够满足现场应用的需要。
As partial discharge of onboard transformers is difficult to locate accurately, a cooperative localization algorithm based on ultrasonic signal generated by partial discharge was proposed in this paper to improve localization accuracy of onboard transformers. Following a summary of advantages of differential evolutional(DE) algorithm and particle swarm optimization(PSO), a hybrid DE-PSO algorithm was proposed. The computation result was used to modify its cost function, and using the result as initial value of Newton method, accurate position of partial discharge source was obtained after iteration. Simulation and experimental results showed that, compared with traditional intelligent algorithm, the proposed algorithm had such advantages as high accuracy and strong robustness and could meet the needs of field applications.
作者
贾步超
梁爽
郎光娅
Jia Buchao;Liang Shuang;Lang Guangya(CRRC Qingdao Sifang Locomotive Co.,Ltd.,Qingdao Shandong 266111,China;College of Electrical Engineering,Southwest Jiaotong University,Chengdu Sichuan 611756,China)
出处
《电气自动化》
2021年第5期82-85,共4页
Electrical Automation
基金
中国中车股份有限公司科技研究开发计划项目资助(2018CDA005-3)。
关键词
车载变压器
局部放电
声发射
混合智能算法
协同定位
on-board traction transformer
partial discharge
acoustic emission
hybrid intelligent algorithm
cooperative localization
作者简介
贾步超(1980-),男,河北保定人,高级工程师,主要从事动车组电气检修技术相关研究工作;梁爽(1979-),女,河北廊坊人,高级工程师,主要从事动车组制动系统检修技术相关研究工作;郎光娅(1996-),女,四川成都人,硕士生,主要从事电气设备故障状态识别相关研究工作。
