A Cooperative Optimization Strategy for Access and Reconfiguration of Microgrids
编号:18 访问权限:仅限参会人 更新:2022-10-14 23:51:09 浏览:304次 口头报告

报告开始:2022年11月04日 10:40(Asia/Shanghai)

报告时间:20min

所在会场:[S] Power System and Automation [OS5] Oral Session 5

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摘要
The random access of the microgrids (MGs) to distribution network and disordered operation will result in high network loss. Aiming at this problem, a double-loop cooperative optimization strategy for optimizing network loss is proposed. This strategy builds an optimization model based on MGs with electric vehicles (EVs) and renewable energy sources (RES). The inner-loop model reconfigures the network structure of MGs through optimization to reduce the basic network loss of the MGs. The outer-loop model optimizes the node location of the MG accessed to the distribution network in the MGs to reduce the increased network loss of the MGs. The inner-loop and outer-loop synergistically reduce the total network loss of the MGs. Particle swarm optimization (PSO) is used to solve the model. Finally, four simulation cases are used to prove the rationality and feasibility of the proposed strategy.
关键词
microgrids;distribution network;network loss;reconfigure;node location
报告人
Zhiwen Xu
Huazhong University of Science and Technology;The State Key Laboratory of Advanced Electromagnetic Engineering and Technology

稿件作者
Zhiwen Xu Huazhong University of Science and Technology;The State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Changsong Chen Huazhong University of Science and Technology;The State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Xinheng Zhou Huazhong University of Science and Technology
Jingyue Zhang Huazhong University of Science and Technology
Dongtong Han Huazhong University of Science and Technology
Mingyang Dong Huazhong University of Science and Technology
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重要日期
  • 会议日期

    11月03日

    2022

    11月05日

    2022

  • 08月01日 2022

    初稿截稿日期

  • 11月04日 2022

    注册截止日期

  • 11月05日 2022

    报告提交截止日期

主办单位
Huazhong University of Science and Technology
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