[1]张哲宁,张心语,龚钢军.基于区块链的电动汽车电能现货交易研究[J].控制与信息技术,2019,(06):63-66.[doi:10.13889/j.issn.2096-5427.2019.06.200]
 ZHANG Zhening,ZHANG Xinyu,GONG Gangjun.Research on Electric Spot Trading of Electric Vehicles Based on Block Chain[J].High Power Converter Technology,2019,(06):63-66.[doi:10.13889/j.issn.2096-5427.2019.06.200]
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基于区块链的电动汽车电能现货交易研究()
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《控制与信息技术》[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2019年06期
页码:
63-66
栏目:
信息技术与系统
出版日期:
2019-12-05

文章信息/Info

Title:
Research on Electric Spot Trading of Electric Vehicles Based on Block Chain
文章编号:
2096-5427(2019)06-0063-04
作者:
张哲宁张心语龚钢军
(华北电力大学电气与电子工程学院,北京 102206)
Author(s):
ZHANG Zhening ZHANG Xinyu GONG Gangjun
( School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China )
关键词:
泛在电力物联网区块链电动汽车电能现货交易智能合约
Keywords:
ubiquitous power internet of things block chain electric vehicle electrical spot trading intelligent contract
分类号:
TM73
DOI:
10.13889/j.issn.2096-5427.2019.06.200
文献标志码:
A
摘要:
电动汽车(EV)电能交易的产生具有强随机性,且EV大规模接入电网,在一定程度上会影响配电网的负荷体量,致使高效协商、安全透明成为新型电能交易机制的必然发展趋势。文章分析了EV电能交易的多方协商需求,提出了EV接入泛在电力物联网的场景模型,并从交易需求与安全需求出发引入区块链技术,构建了实时交易与监管节点模型;结合实时交易中面临的安全风险,建立了与实际区块生成相匹配的EV电能交易机制。通过设计智能合约,对基于遗传算法的交易方案寻优过程进行仿真验证,结果表明,通过区块链智能合约的高效运行,实现了能满足多方参与者目标的最优交易方案的制定,可为提高EV电能交易市场的安全可靠性与高效协同性提供参考。
Abstract:
Electric vehicle charging transaction is highly random, and when electric vehicles are connected to the grid in large scale, load volume of the distribution network will be affected to some extent.Therefore, efficient negotiation, safety and transparency have gradually become the inevitable development trend of the new charging transaction mechanism. This paper initially analyzed the multi-party negotiation demand of electric vehicles charging transaction, and a scene model of electric vehicles accessing ubiquitous power internet of things was proposed. Based on the trade demand and security demand, block chain technology was adopted to construct the real-time trade and regulatory node model. Secondly, combined with the security risks in real-time transaction, this paper established an electric vehicle charging transaction mechanism matching the actual block generation. Finally,by designing intelligent contract, the optimization process of trading scheme was validated by a genetic algorithm.The simulation results show that through the efficient operation of the smart contract of block chain, the formulation of the optimal trading scheme to meet the objectives of multiple participants is achieved, which can provide a reference for improving the safety, reliability and efficient coordination of the electric vehicle charging market.

参考文献/References:

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相似文献/References:

[1]张哲宁,张心语,龚钢军.基于区块链的电动汽车电能现货交易研究[J].控制与信息技术,2019,(06):1.[doi:10.13889/j.issn.2096-5427.2019.06.200]
 ZHANG Zhening,ZHANG Xinyu,GONG Gangjun.Research on Electric Spot Trading of Electric Vehicles Based on Block Chain[J].High Power Converter Technology,2019,(06):1.[doi:10.13889/j.issn.2096-5427.2019.06.200]

备注/Memo

备注/Memo:
收稿日期:2019-08-09
作者简介:张哲宁(1996—),男,硕士研究生,主要研究方向为能源互联网、电力系统通信与信息安全。
基金项目:国家能源局科技项目(2017BJ0166)
更新日期/Last Update: 2019-12-25