Prediction of 10kV Distribution Feeder Monthly Outage Rate Based on Decision Tree

摘要：

　　This paper proposes a new approach to predict the 10kV distribution feeder monthly outage rate. Based on investigation of existing IT systems in distribution companies, influential factors of 10kV distribution feeder outage are first selected according to availability. Correlation analysis is performed to determine the outage critical influential factors. A Decision tree with C4.5algorithm is constructed to predict feeders monthly outage rate. Case studies on 131 10kV distribution feeders indicate that the proposed approach can reach 90% accuracy level, which can be used to assist in developing inspection and maintenance strategies.

关键词： 10kV Distribution Feeder Decision Tree Monthly Outage Rate Outage Influential Factors

作者: Jinghan He Yuzi Lu Pei Zhang Feng Gao Xiaojun Wang Jianmin Wang Lijun Zhong Wei Qian

作者单位: School of Electrical Engineering,Bejing Jiaotong University,Haidian District Beijing 100044 Energy Big Data Lab,Tsinghua Energy Internet Research Institute,Haidian District Beijing 100084 Jiaxing Electric Bureau,Jiaxing Zhejiang 314000

会议类型: 国际会议

会议名称: 2016中国国际供电会议(CICED2016)

会议地点: 西安

会议语种:英文

页码: 1-5

在线出版日期: 2016-09-01（万方平台首次上网日期，不代表论文的发表时间）