Study on Short-term Forecasting of Large Users Load basedon Power Consumption Model Numbers
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National Key Research and Development Program of China (2016YFB0901102)

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    Abstract:

    In view of the poor applicability of the traditional load forecasting methods,this paper divides the large users by two parameters,namely monthly load rate and the ratio of load standard deviation to monthly load rate,in order to clear the classification of load characteristics of large consumers.On this basis,the typical load curve,fluctuation curve and continuous load curve of the classified users are analyzed to obtain the power mode numbers.Then,the paper formulates the targeted prediction methods according to model numbers to improve the accuracy of the prediction of schedulability capacity and to provide technical support for the rapid development of power market demand response business.

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History
  • Received:January 13,2018
  • Revised:February 24,2018
  • Adopted:December 15,2017
  • Online: May 29,2018
  • Published: May 28,2018