Identification and Justification of Abnormal Electric Load Data Based on Density Evaluation

摘要：

There are usually a number of abnormal data in the electric load database derived from the SCADA system,thus it is necessary to identify and justify them before the load data are used for electric load forecasting or power system analysis.Considering both horizontal and vertical continuity of the electric load,a density evaluation based method is proposed to identify and justify abnormal data in two dimensions as a whole.The feasibility and efficiency of the developed method has been demonstrated by simulation results.

关键词： electric load data:abnormal data:density evaluation identification and justification

作者: Shulin TONG Fushuan WEN Liang CHEN Jiansheng HUANG

作者单位: School of Electrical Engineering South China University of Technology Guangzhou 510640,China School of Electrical Engineering Zhejiang University Hangzhou 310027,China School of Electrical Engineering South China University of Technology Guangzhou 510640,China;Electri School of Computing and Mathematics University of Western Sydney Sydney,Australia

会议类型: 国际会议

会议名称: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

会议地点: 威海

会议语种:英文

页码: 776-780

在线出版日期: 2011-07-06（万方平台首次上网日期，不代表论文的发表时间）