基于遗传算法的变电站开关电阻在线计算方法
侯洋，王茂飞，卜京，宋子健，郑冉
(南京理工大学 自动化学院，江苏 南京 210094)
摘 要： 针对3/2 接线方式变电站开关电阻在线计算的问题，提出了一种基于遗传算法的计算方法。利用流过开关设备的电流和开关电阻建立最优规划模型，将计算开关电阻的问题转化为解决最优规划问题。在计算过程中，采用遗传算法可以避免传统方法求解多维空间规划问题带来的复杂性。用某500 kV 变电站的实测电流数据进行仿真计算，验证了该方法的可行性。
关键词： 在线评估；开关电阻；最优规划；遗传算法
中图分类号：TM934 文献标识码：A 文章编号：1007-3175(2015)07-0010-04
Online Calculating Method of Substation Switchgear Resistance Based on Genetic Algorithm
HOU Yang, WANG Mao-fei, BU Jing, SONG Zi-jian, ZHENG Ran
（School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China）
Abstract: Aiming at the online calculation problem of 3/2 wiring connection switchgear resistance, this paper proposed a kind of online calculation method based on genetic algorithm. By the use of the current and resistance of the switching equipment, the optimal planning model was established, and the problem of calculating the resistance of the switching equipment was transformed into an optimal planning problem. In the process of calculation, instead of conventional method, the genetic algorithm was used to avoid the great complexity caused by solving the problem of multidimensional space planning. Based on the current data obtained from the 500 kV substation, simulation studies are carried out and the results verify the effectiveness of the proposed method.
Key words: online calculation; switchgear resistance; optimal plan; genetic algorithm
参考文献
[1] 李红兵，杨书文.500 kV 综合自动化变电站设备缺陷统计分析[J]. 湖北电力，2009，33(2)：12-4.
[2] 刘帼巾. 电器触点接触电阻测量装置的研究[J].电测与仪表，2001，38(2)：15-16.
[3] Salamanca F, Borras F, Eggert H, Steingraber W.Preventive Diagnosis on High-Voltage Circuit Breakers[C]//CIGRE Symposium, Berlin, 1993.
[4] Kumar Tyagi R, Singh Sodha N.Condition-Based Maintenance Techniques for EHV-Class Circuit Breakers[C]//Doble Client Conference, 2001.
[5] O h l e n M , D u e c k B , W e r n l i H . Dynamic Resistance Measurements-ATool for Circuit Breaker Diagnostics[C]// Stockholm Power TechInternational Symposium on Electric Power Engineering,1995.
[6] 吴仁泽，江海涛，卜京. 一种3/2 接线方式下的开关设备回路电阻评估方法研究[J]. 电工电气，2015(2)：5-8.
[7] 张伯明，陈寿孙. 高等电力网络分析[M]. 北京：清华大学出版社，2007.
[8] 边霞，米良. 遗传算法理论及其应用研究进展[J].计算机应用研究，2010，27(7)：2425-2429.
