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投稿时间：2018-10-24
投稿时间：2018-10-24
中文摘要: 广域后备保护可综合利用全网信息，在传统保护出现错误时，快速准确地找到故障位置。提出了一种基于聚类算法和改进证据理论的广域后备保护新算法：首先，基于电网中各子站之间的电气距离特征，利用k均值聚类算法完成对大电网的分区工作，由各点故障电压序分量的特征选取可疑故障线路；然后，将电气量和保护动作状态量共同作为证据源，同时对不合理证据进行优化改进；最终利用改进后的DS证据理论识别故障线路。仿真结果表明，该方法可有效完成对电网的分区工作，在保护动作信息部分或者全部出错时均能有效识别故障线路。
Abstract:Wide area backup protection can make full use of the whole network information,and can find the fault location quickly and accurately when the traditional protection is wrong.A new algorithm of wide area backup protection based on clustering algorithm and improved evidence theory is proposed.According to the electrical distance characteristics of each sub station in the grid,the k-means clustering algorithm is used to complete the partitioning work of large power grids,then the suspected fault line is selected,which is based on the characteristic of fault voltage sequence,finally the change characteristics of the fault voltage sequence component and the protection action information are taken as the source of evidence,and at the same time,the irrational evidence is optimized.Finally,the DS evidence theory is used to find the fault location.Simulation results show that this method can effectively complete the work of power grid partition and identify fault lines effectively when the protection action information is in partial or all errors.
文章编号：20193010 中图分类号：TM77 文献标志码：
基金项目:湖北省重点实验室基金资助项目（2015KJ11）。
引用文本：
刘建锋,朱晶京,张博.基于聚类算法和改进证据理论的广域后备保护新算法[J].上海电力大学学报,2019,35(3):247-252,292.
LIU Jianfeng,ZHU Jingjing,ZHANG Bo.A New Wide Area Backup Protection Algorithm Based on Clustering Algorithm and Improved Evidence Theory[J].Journal of Shanghai University of Electric Power,2019,35(3):247-252,292.
刘建锋,朱晶京,张博.基于聚类算法和改进证据理论的广域后备保护新算法[J].上海电力大学学报,2019,35(3):247-252,292.
LIU Jianfeng,ZHU Jingjing,ZHANG Bo.A New Wide Area Backup Protection Algorithm Based on Clustering Algorithm and Improved Evidence Theory[J].Journal of Shanghai University of Electric Power,2019,35(3):247-252,292.