基于联盟区块链交易平台的电动汽车有序充电相对鲁棒优化

doi:10.11930/j.issn.1004-9649.201807082

中国电力 ›› 2019, Vol. 52 ›› Issue (8): 126-134.DOI: 10.11930/j.issn.1004-9649.201807082

基于联盟区块链交易平台的电动汽车有序充电相对鲁棒优化

王惠洲, 于艾清

上海电力学院电气工程学院, 上海 200090

收稿日期:2018-07-31 修回日期:2018-12-24 发布日期:2019-08-14
通讯作者: 于艾清(1981-),女,通信作者,博士,副教授,从事生产调度优化、智能优化算法研究,E-mail:yuaiqing@shiep.edu.cn
作者简介:王惠洲(1991-),男,硕士研究生,从事电动汽车有序充电研究,E-mail:zhzz2010@126.com
基金资助:
上海市绿色能源并网工程技术研究中心科技项目（13DZ2251900）。

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

WANG Huizhou, YU Aiqing

College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received:2018-07-31 Revised:2018-12-24 Published:2019-08-14
Supported by:
This work is supported by Shanghai Engineering Research Center of Green Energy Grid Connected Technology (No.13DZ2251900).

摘要/Abstract

摘要： 为了应对电动汽车充电和风光出力的不确定性以及分散化电力交易的风险，提出基于联盟区块链技术的电动汽车充电交易平台和考虑风光出力的电动汽车有序充电策略，并且用相对鲁棒优化的方法来处理风光出力的不确定性。首先应用联盟区块链技术构建电动汽车充电交易平台；然后应用相对鲁棒优化技术来处理不确定的风光出力，建立考虑风光出力不确定性的电动汽车有序充电相对鲁棒优化模型；最后通过量子粒子群算法对相对鲁棒优化模型进行求解。安全性分析证明了交易平台的可靠性和安全性，仿真结果验证了模型的正确性和算法的有效性。

关键词: 联盟区块链, 电动汽车, 有序充电, 相对鲁棒优化, 不确定性, 量子粒子群算法

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

中图分类号:

F407.61
TM74

王惠洲, 于艾清. 基于联盟区块链交易平台的电动汽车有序充电相对鲁棒优化[J]. 中国电力, 2019, 52(8): 126-134.

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

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基于联盟区块链交易平台的电动汽车有序充电相对鲁棒优化

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

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基于联盟区块链交易平台的电动汽车有序充电相对鲁棒优化

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

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