联合能源及辅助服务市场电动汽车停车场参与的双目标方法

Ahmad Nikpour, A. Nateghi, M. Shafie‐khah
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引用次数: 0

摘要

为了应对绿色交通部门和增加可持续能源替代品,预计电动汽车(ev)将在不久的将来成为相当大的能源消耗者。为了解决电动汽车充电需求的相关问题,需要优化电动汽车与电网的整合方式。电动汽车停车场(EVPLs)是管理电动汽车充电过程的一种特殊解决方案。此外,车辆到电网(V2G)功能有可能提高电力系统的可靠性,电动汽车制造商的利润(通过提供辅助服务(AS)),并降低电动汽车车主的成本。本文提出了一种基于激励的双目标方法,通过同时参与日前(DA)电力和AS市场,来优化电动汽车制造商和电动汽车车主(每辆车)的利润。概率分布函数(PDF)和随机数据用于覆盖不确定性。用GAMS解算器对该方法进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-objective Approach for Electrical Vehicles Parking lot Participation in Joint Energy, and Ancillary Services Markets
In response to having a green transport sector and increasing sustainable energy alternatives, it is expected that electric vehicles (EVs) will be a considerable energy consumer in the near future. In order to cover the problems related to their charging demand, the integration approaches between the EVs and the grid should be optimized. Electric vehicle parking lots (EVPLs) are an exceptional solution for managing the charging process of EVs. Moreover, vehicle-to-grid (V2G) feature has the potential of increasing the reliability of the power system, the profit of EVPLs (by providing ancillary services (AS)), and reducing the cost of EVs owners. In this paper, an incentive-based two-objective approach is suggested for optimizing the profit of EVPLs and EV owners (each vehicle individually) by participating in day-ahead (DA) electricity and AS markets at the same time. Probability distribution functions (PDF) and random data are used to cover uncertainties. The suggested method is tested using the real word data by GAMS solvers.
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