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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II

Research Article

Operation Controllable Index Optimization of Virtual Power Plant with Electric Vehicle Based on 5g Technology and Cloud Computing Platform

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  • @INPROCEEDINGS{10.1007/978-3-030-94554-1_14,
        author={Ke-jun Qian and Shui-fu Gu and Yong-biao Yang},
        title={Operation Controllable Index Optimization of Virtual Power Plant with Electric Vehicle Based on 5g Technology and Cloud Computing Platform},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2022},
        month={1},
        keywords={Cloud computing platform Electric vehicle Virtual power plant Index optimization},
        doi={10.1007/978-3-030-94554-1_14}
    }
    
  • Ke-jun Qian
    Shui-fu Gu
    Yong-biao Yang
    Year: 2022
    Operation Controllable Index Optimization of Virtual Power Plant with Electric Vehicle Based on 5g Technology and Cloud Computing Platform
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-94554-1_14
Ke-jun Qian1, Shui-fu Gu1, Yong-biao Yang2
  • 1: Suzhou Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd
  • 2: Southeast University

Abstract

For the controllable index optimization of virtual power plant with electric vehicles, the traditional optimization method has low environmental benefits due to the reduction of electricity sales and the use of more clean energy. Therefore, this paper proposes the controllable index optimization of virtual power plant with electric vehicles based on 5g technology and cloud computing platform. The cloud computing platform is used to calculate the deviation degree of controllable indexes of power plant operation and decompose the indexes, so as to allocate reasonable resources for the calculation of unit units. Taking the calculation results as the input parameters, an optimization model with power generation cost and environmental benefits as the objective is established. The membership function is used to solve the optimal solution of the model, and the controllable indexes are optimized. The experimental results show that: Based on 5g technology and cloud computing platform, the controllable index optimization method of virtual power plant with electric vehicles has low power generation cost and high environmental benefits, which can meet the operation needs of virtual power plant with electric vehicles.

Keywords
Cloud computing platform Electric vehicle Virtual power plant Index optimization
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94554-1_14
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