Identification method of load customers based on similarity of fuzzy clustering curves
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TM714

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    Abstract:

    In order to meet the requirements of fine management of power grid companies and manage users pertinently,a recognition method based on fuzzy clustering algorithm and curve similarity is proposed. Taking the load in Jiangnan region as an example, it collects large amounts of power data to obtain characteristics of aquaculture load customers′ regular electricity consumption by introducing fuzzy clustering algorithm. Finally, by analyzing the similarity between the customer′s daily load curve and the characteristic curve, the possibility can be judged, and it can provide basis for precise service of power supply company. The results of case studies prove that the proposed method is feasible and effective.

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History
  • Received:December 24,2018
  • Revised:January 15,2019
  • Adopted:December 24,2018
  • Online: June 03,2019
  • Published: May 28,2019
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