• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2017, Vol. 38 ›› Issue (4): 57-.doi: 10.3969/j.issn.1000-7229.2017.04.008

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 A Novel  Power Load Shifting Resource Dispatching Strategy Based on Improved Entropy Method

 SHI Kun1,2, KONG Lingji2, LI Bin2, LI Dezhi1, ZHENG Aixia3, SUN Yi2, QI Bing2

 
  

  1.  1. China Electric Power Research Institute, Beijing 100192, China; 
     
    2. School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China; 
     
    3. State Grid Jiangsu Electric Power Research Institute, Nanjing 210036, China
  • Online:2017-04-01
  • Supported by:
     Project supported by the National Key Research and Development Program of China(2016YFB0901102)

Abstract:  ABSTRACT: In order to ease the power grid operation pressure during peak hours, considering the basic function and the ability to organize load shifting resource dispatching of load aggregators, this paper mainly studies the task decomposition and scheduling policy of load aggregators to make them to maximize the benefits under the completion of load shifting resource dispatching. We construct the mathematical model for the users participating in load shifting resource dispatching, and propose the dynamic coefficient correction mechanism for the load shifting resource dispatching problems based on entropy method. Then we choose the core indicators related load shifting dispatching, adjust the task scheduling strategy of load integrator in real time according to users lateral dynamic execution, and implement evaluation according to the income of load aggregator and the completion of load shifting task. The results show that compared with the general average method and entropy method, the proposed algorithm strategy can ensure complete the load shifting resource scheduling tasks and realize the profit maximization for load aggregator, and this algorithm strategy is applicable to the load shifting resource dispatching in some circumstances.

 

Key words:  load shifting resources, dispatching strategy, deviation correction, demand response

CLC Number: