基于二次规划的电动公交车队充电管理优化

IF 0.4 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY International Journal of Electric and Hybrid Vehicles Pub Date : 2019-09-27 DOI:10.1504/ijehv.2019.10024313

Adnane Houbbadi, R. Trigui, S. Pélissier, E. Redondo-Iglesias, Tanguy Bouton

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引用次数: 7

摘要

电动巴士的使用预计将在未来几年大幅增加。EB的非受控充电不仅会影响电网（电网不稳定、谐波污染），还会影响运营成本。本文介绍了一种基于充电时间表规划和充电功率调制的电动公交车最佳充电策略。最佳充电策略允许使用二次规划最小化充电成本以及负载功率变化。所提出的二次规划可以显著减少计算时间，同时处理大型公交车队。第一个结果表明，客户的能源账单显著减少，同时避免了因峰值负荷而造成的潜在处罚。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A quadratic programming based optimisation to manage electric bus fleet charging

The use of electric buses (EBs) is expected to increase significantly in the coming years. Uncontrolled charging of EBs can affect not only the power grid (grid instability, harmonic pollution) but also the operating cost. This paper introduces an optimal charging strategy based on charging schedule planning and modulation of charging power for a fleet of electrical-powered buses. The optimal charging strategy allows minimising the charging cost as well as the load power variations using quadratic programming. The proposed quadratic programming can significantly reduce the computation time and simultaneously handle a large bus fleet. First results indicate a significant reduction in customer energy bills while avoiding potential penalties due to peak loads.

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来源期刊

International Journal of Electric and Hybrid Vehicles TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

1.60

自引率

14.30%

发文量

期刊介绍： IJEHV provides a high quality, fully refereed international forum in the field of electric and hybrid automotive systems, including in-vehicle electricity production such as hydrogen fuel cells, to describe innovative solutions for the technical challenges enabling these new propulsion technologies.