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首页> 外文期刊>Smart Grid, IEEE Transactions on >Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation
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Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation

机译：结合电池储能和光伏发电的电动汽车充电站的优化降低了运营成本

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摘要

A four-stage intelligent optimization and control algorithm for an electric vehicle (EV) bidirectional charging station equipped with photovoltaic generation and fixed battery energy storage and integrated with a commercial building is proposed in this paper. The proposed algorithm aims at maximally reducing the customer satisfaction-involved operational cost considering the potential uncertainties, while balancing the real-time supply and demand by adjusting the optimally scheduled charging/discharging of EV mobile/local battery storage, grid supply, and deferrable load. The chance-constrained optimization objective has been stated in stages: 1) stage I, optimization of day-ahead energy management schedules; 2) stage II, multitiered EV charging price update and optimization of discharging participation bonus; 3) stage III, optimization of hour-ahead energy management schedules; and 4) stage IV, real-time control. Such algorithm provides more resilience for unpredictable conditions, provides more incentives for EV users to participate, and better coordinates the integrated system including the building load to reliably serve the customers while lessening cost. Case studies are implemented and the comparison analysis is performed in terms of the use and benefit of each design feature of the algorithm. The results indicate that the proposed algorithm can reduce the operational cost and at the same time provide higher tolerability toward uncertainties.
机译：提出了一种带有光伏发电和固定电池储能并与商业建筑相结合的电动汽车双向充电站的四阶段智能优化与控制算法。所提出的算法旨在最大程度地降低潜在的不确定性，从而降低与客户满意度有关的运营成本，同时通过调整EV移动/本地电池存储，电网供应和可延期负载的最佳计划充电/放电来平衡实时供需。机会受限的优化目标已分阶段说明：1）第一阶段，日前能源管理计划的优化； 2）第二阶段，电动汽车多级充电价格更新和放电参与奖励的优化； 3）第三阶段，优化提前小时能源管理计划；和4）第四阶段，实时控制。这种算法为不可预测的情况提供了更大的弹性，为电动汽车用户提供了更多的参与动机，并更好地协调了包括建筑负荷在内的集成系统，从而在降低成本的同时可靠地为客户提供服务。根据算法的每个设计功能的使用和益处，进行了案例研究并进行了比较分析。结果表明，该算法可以降低运行成本，同时对不确定性具有较高的容忍度。

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