A Provisional Model for the Optimal Management of a Charging Station Assisted by Photovoltaic Panels for Plug-In Electric Vehicles

Rizzo Gianfranco, Tiano Francesco Antonio, Marin Matteo
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Abstract

There is a strongly increasing diffusion of Electric Vehicles (EV) and Plug-in Hybrid Electric Vehicles (PHEV), in order to reduce air pollution in urban environment and to mitigate the global warming issues. Anyway, the achievement of this latter goal strictly depends on the source of primary energy used to generate electrical energy. In the paper, a model for the optimal design and operation of a charging station for EV and PHEV assisted by a PhotoVoltaic (PV) plant is presented. A provisional model for the estimation of the incoming insolation, based on cloudiness prevision, is integrated with a nonlinear constrained optimization algorithm, in order to satisfy the load while minimizing the recourse to electrical grid for battery storage charging. Simulations on different locations and charging loads for various size of PV plant and battery capacity are presented, and the benefits in terms of CO2 reduction discussed.
插电式电动汽车光伏板辅助充电站优化管理临时模型
为了减少城市环境中的空气污染和缓解全球变暖问题,电动汽车(EV)和插电式混合动力汽车(PHEV)的普及势头强劲。无论如何,后一个目标的实现严格依赖于用于产生电能的一次能源的来源。本文建立了基于光伏电站的电动汽车和插电式混合动力汽车充电站优化设计与运行模型。为了在满足负荷的同时最大限度地减少蓄电池充电对电网的依赖,将基于云量预测的临时模型与非线性约束优化算法相结合。本文对不同地点、不同规模的光伏电站和电池容量的充电负荷进行了模拟,并讨论了在减少二氧化碳方面的好处。
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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