20 / 2020-09-24 00:11:27
Multi-objective Two-level Planning Strategy for the Integrated Energy-Intelligent Transportation System Coupling Network
Multi-network coupling,timing characteristics,multi-objective bi-level programming,electric vehicles,active management
终稿
tiange li / Room 3513; School of Electrical Engineering and Automation; Wuhan University
zhijian hu / Room 3513; School of Electrical Engineering and Automation; Wuhan University
Based on the solution of mathematical models of distribution network, natural gas network and transportation network, combined with timing characteristics and multi-scenario technology, the output and load typical values of various power sources in multiple scenarios are obtained, and the operation optimization strategy of the components in the integrated energy-intelligent transportation system (IE-ITS) coupling network is proposed. On this basis, a two-level programming model is established. The upper-level model discusses the planning plan, and makes investment decisions, load regulation, and charging pile location with the goal of the lowest cost, highest reliability, and best voltage quality, using an improved NSGA-Ⅱ algorithm. The lower-level model considers the operating strategy, manages the upper-level scheme with the smallest amount of DG waste, using an improved particle swarm algorithm and TOPSIS method. The digital simulation results of an improved IEEE 33-node distribution network, 11-node natural gas network and 34-community transportation network verifies the effectiveness of the proposed bi-level programming model.
重要日期
  • 会议日期

    11月02日

    2020

    11月04日

    2020

  • 10月27日 2020

    初稿截稿日期

  • 11月03日 2020

    报告提交截止日期

  • 11月04日 2020

    注册截止日期

  • 11月17日 2020

    终稿截稿日期

主办单位
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
承办单位
Huazhong University of Science and Technology
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