电动汽车辅助需求侧能源管理

Xing Luo, Xu Zhu, E. Lim
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引用次数: 0

摘要

近年来,电动汽车的发展不仅在环保和经济方面具有巨大的优势,而且在需求响应方面也具有巨大的优势。在负荷调度中使用电动汽车,可以帮助家庭减轻网络负荷负担,同时减少自己的电费。本章提出了基于电动汽车辅助电源(APS)模型和邻居能源共享(NES)模型的创新电动汽车辅助灾难恢复策略,分别通过车对户(V2H)和车对邻居(V2N)连接,共同优化单户和多户网络的负载分配。提出的DR策略考虑了电动汽车充电行为、用户偏好、分布式发电和负载优先级的综合影响。数值结果验证了所提出的能源管理解决方案在负载平衡和成本降低方面的有效性。所提出的DR策略也显著优于先前的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrical Vehicle-Assisted Demand Side Energy Management
The recent development of electrical vehicles (EVs) offers vast benefits not only in environmental protection and economics but also in demand response (DR). Employing EVs in load scheduling enables householders to help alleviate the network load burden while reducing their own electric bills. In this chapter, innovative EV-assisted DR strategies with an EV auxiliary power supply (APS) model and a neighbor energy sharing (NES) model are proposed, to jointly optimize the load distribution for both individual household and multi-household network via vehicle-to-home (V2H) and vehicle-to-neighbor (V2N)connections, respectively. The proposed DR strategies take account of the comprehensive impacts of EV charging behaviors, user preferences, distributed generation, and load priority. The effectiveness of the proposed energy management solutions is verified by numerical results in terms of load balancing and cost reduction. The proposed DR strategies also significantly outperform the previous approaches.
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