An Optimization Strategy for Distribution Network Reconfiguration Considering Integration of Electric Vehicles
ID:11 View Protection:ATTENDEE Updated Time:2022-08-11 11:10:19 Hits:505 Oral Presentation

Start Time:2022-11-04 17:40(Asia/Shanghai)

Duration:20min

Session:S Power System and Automation » OS13Oral Session 13

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Abstract
The vulnerability and network loss of active distribution network (ADN) will be influenced with the integration of distributed generation (DG) and electric vehicles (EVs). In order to solve this problem, a double-layer optimization model considering reactive power optimization of electric vehicle charging stations (EVCS) and network reconfiguration is proposed. The upper-layer model optimizes the line switch state combination of ADN to reduce the vulnerability value of ADN. The lower-layer model optimizes reactive power of EVCS to reduce the network loss of ADN. Particle swarm optimization (PSO) is used to solve this optimal problem. Finally, the effectiveness and correctness of the proposed optimal model is validated by IEEE 33-bus distribution system.
Keywords
electric vehicles, reactive power optimization, network reconfiguration, distributed generation, vulnerability value
Speaker
Jingyue Zhang
Huazhong University of Science and Technology

Submission Author
Jingyue Zhang Huazhong University of Science and Technology
Changsong Chen Huazhong University of Science and Technology;The State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Zhiwen Xu Huazhong University of Science and Technology
Mingyang Dong Huazhong University of Science and Technology
Dongtong Han Huazhong University of Science and Technology
Xinheng Zhou Huazhong University of Science and Technology
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  • Conference Date

    Nov 03

    2022

    to

    Nov 05

    2022

  • Aug 01 2022

    Draft paper submission deadline

  • Nov 04 2022

    Registration deadline

  • Nov 05 2022

    Contribution Submission Deadline

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