Electric Power ›› 2020, Vol. 53 ›› Issue (4): 41-48.DOI: 10.11930/j.issn.1004-9649.202002096

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Investment Decision-making Method for Regional Distribution Network Planning Considering Distributed Generations

KONG Xiangyu1, YAO Jingtao1, CUI Kai2, SUN Fangyuan1, YANG Jingang3   

  1. 1. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;
    2. State Grid Economic and Technology Research Institute Co., Ltd., Beijing 102209, China;
    3. State Grid Jibei Electric Economic Research Institute, Beijing 100038, China
  • Received:2020-02-18 Revised:2020-03-20 Published:2020-04-05
  • Supported by:
    This work is supported by the National Key Research and Development Program of China (Research on Key Technologies of Electric Power Supply and Demand Interactive Service Platform, No.2016YFB0901104)

Abstract: As an important power generation mode of renewable energy, the distributed generation (DG) is increasingly integrated into distribution networks. Aiming at the uncertainties in investment structure and investment benefits of the regional distribution network with DG, an investment decision-making method is proposed for distribution network planning considering DG integration. Firstly, based on analysis of the DG impact on the distribution network, an association analytic method is given for investment benefits of the distribution network, and intermediate variables, such as distribution network renovation measures, affected operating parameters and investment benefit indicators, are introduced to associate the investment with benefits. Secondly, by taking the optimal comprehensive benefits as the objective, an investment decision-making method is proposed for distribution network planning, and the main processes and key steps are given. At last, the effectiveness of the proposed method is verified through case study of a power supply area in a northern China province.

Key words: distribution network planning, distributed generation, association analysis, comprehensive benefits, investment decision-making