车载超级电容器供电电车供电方案的两阶段优化方法

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Intelligent Transport Systems Pub Date : 2024-07-13 DOI:10.1049/itr2.12536
Huazhi Zhang, Chengcheng Fu, Qingyuan Wang, Pengfei Sun, Xiaoyun Feng, Bin He
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引用次数: 0

摘要

针对车载超级电容供电电车的供电方案(PSS),考虑到 PSS 的成本和裕度,设计了一种两阶段优化方法来优化充电站的布局和超级电容器(SC)的配置。首先,建立了 SC 动力电车模型和稳定循环运行模型,并建立了 PSS 成本最低、SC 余量最大的两阶段优化问题模型。然后,设计了一种改进的双种群差分进化算法,在第一阶段对充电站布局和 SC 配置进行协同优化,在第二阶段对充电站布局进行再次优化。仿真结果表明,共同优化可以获得更低的 PSS 成本,而且再次优化充电站布局可以有效提高 SC 的裕度,从而提高充电站布局与 SC 连接方案的匹配度。
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A two-stage optimization method of power supply scheme of on-board supercapacitor-powered tram

Aiming at the power supply scheme (PSS) of the on-board supercapacitor-powered tram, considering the cost and margin of the PSS, a two-stage method is designed to optimize the layout of the charging stations and the configuration of the supercapacitor (SC). First, the SC-powered tram model and stable cycle operation model are established, and a two-stage optimization problem model with the lowest PSS cost and the largest SC margin is established. Then, an improved dual-population differential evolution algorithm is designed, and the layout of charging stations and the configuration of SC are co-optimized in the first stage, and then the layout of charging stations is optimized again in the second stage. The simulation results show that co-optimization can obtain a lower cost of PSS, and furthermore, the layout of charging stations can be optimized again to effectively improve the margin of SC, thereby improving the matching degree between the layout of charging stations and the connection scheme of SC.

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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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