Journal of South China University of Technology(Natural Science Edition) ›› 2012, Vol. 40 ›› Issue (2): 124-129.

• Power & Electrical Engineering • Previous Articles     Next Articles

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

Chen Liang1,2  Wen Fu-shuan3  Tong Shu-lin1   

  1. 1.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.Guangdong Power Dispatch Center,Guangzhou 510600,Guangdong,China; 3.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China
  • Received:2011-04-24 Revised:2011-08-11 Online:2012-02-25 Published:2012-01-04
  • Contact: 陈亮(1977-) ，男，在职博士生，高级工程师，主要从事节能发电调度、电力市场等的研究． E-mail:chenliang1999@ sina.com
  • About author:陈亮(1977-) ，男，在职博士生，高级工程师，主要从事节能发电调度、电力市场等的研究．
  • Supported by:

    高等学校博士学科点专项科研基金资助项目( 200805610020) ; 广东电网公司科技项目

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Abstract:

In general,there exist some abnormal data in the electric load database derived from the SCADA system. As these abnormal data may reduce the accuracy of the short-term load forecasting,they should be identified and corrected before their employment. In this paper,both the horizontal and the vertical continuities of electric loads are taken into consideration,and a two-dimension load data set is arranged according to the date. Then,a density evaluation-based method is presented to identify and correct the abnormal data in two dimensions,and a case study is finally performed to verify the effectiveness of the proposed method.

Key words: electric load, abnormal data, short-term forecasting, density evaluation, data identification, data correction