Optimal charging strategy algorithm for PEVs: A Monte Carlo validation

F. Baccino, S. Grillo, S. Massucco, F. Silvestro
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引用次数: 1

Abstract

This paper proposes the validation of an optimal charging strategy for plug-in electric vehicles (PEVs). The algorithm is composed of two phases and is intended to be used by Distribution System Operator (DSO) to properly manage the network. The effectiveness of the optimization algorithm, described in a previous work, is tested through Monte Carlo simulations. The proposed algorithm has evaluated and compared with a dumb charging strategy. The low voltage CIGRE benchmark grid for 5 years was simulated considering 300 PEVs. In addition, a different set of Monte Carlo simulations was run with random-though reasonable-load profiles in order to test the robustness of the algorithm. The traditional and newly proposed power-systemrelated indices were calculated for all of the simulation sets.
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电动汽车最优充电策略算法:蒙特卡罗验证
提出了一种插电式电动汽车最优充电策略的验证方法。该算法分为两个阶段,旨在为配电网运营商(DSO)合理管理电网提供依据。在之前的工作中描述的优化算法的有效性通过蒙特卡罗模拟进行了测试。并与一种哑收费策略进行了评估和比较。模拟了考虑300辆电动汽车的5年低压CIGRE基准电网。此外,为了测试算法的鲁棒性,还使用随机但合理的负载配置文件运行了一组不同的蒙特卡罗模拟。对所有仿真集分别计算了传统的和新提出的电力系统相关指标。
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