Relative Robust Optimization of Coordinated Charging of Electric Vehicles based on the Consortium Blockchain Trading Platform

doi:10.11930/j.issn.1004-9649.201807082

Abstract

Abstract: To deal with uncertainties of electric vehicle (EV) charging and wind and photovoltaic power generation as well as risks of decentralized power trading, an EV charging trading platform based on the consortium blockchain technology and a coordinated charging strategy of EVs considering wind and photovoltaic power generation are proposed in this paper, and the relative robust optimization technique is used to deal with the uncertainties of wind and photovoltaic power generation. First, the consortium blockchain technology is used to build the EV charging trading platform. Second, the relative robust optimization technique is used to deal with the uncertain wind and photovoltaic power generation, and relative robust optimization models of coordinated charging of EVs considering uncertainties of wind and photovoltaic power generation are built. Finally, the optimization problem is solved by quantum particle swarm algorithm. The security analysis has proved the reliability and security of the trading platform, and the simulation results have verified the correctness of the models and the validity of the algorithm.

Key words: consortium blockchain, electric vehicle (EV), coordinated charging, relative robust optimization, uncertainties, quantum particle swarm algorithm

CLC Number:

F407.61
TM74

WANG Huizhou, YU Aiqing. Relative Robust Optimization of Coordinated Charging of Electric Vehicles based on the Consortium Blockchain Trading Platform[J]. Electric Power, 2019, 52(8): 126-134.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201807082

https://www.electricpower.com.cn/EN/Y2019/V52/I8/126

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