A quadratic programming based optimisation to manage electric bus fleet charging
A quadratic programming based optimisation to manage electric bus fleet charging
复制标题
基于二次规划的优化来管理电动公交车车队充电
DOI：
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复制
发表时间：
2019
影响因子：
0.7
通讯作者：
Tanguy Bouton
中科院分区：
文献类型：
--
作者：
Adnane Houbbadi;R. Trigui;S. Pélissier;E. Redondo;Tanguy Bouton
预计未来数年，电动巴士的使用量将大幅增加。电动汽车不受控制的充电不仅会对电网造成影响（电网不稳定、谐波污染），还会影响电网的运行成本。介绍了一种基于充电计划规划和充电功率调制的电动客车最优充电策略。最优充电策略采用二次规划，使充电成本和负荷功率变化最小化。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产生的潜在罚款。
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.