Optimizing microgrid using demand response and electric vehicles connection to microgrid

Sahand Liasi, S. Bathaee
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引用次数: 15

Abstract

The classical modus operandi of electric energy systems try to keep demand and supply balanced at all times, but this cause high generation prices at peak hours and needs huge power capacity to comply peak demand, while in other hours this capacity remains useless. To avoid these issues, many researchers focus on peak shaving and demand response activities to improve system efficiency and reliability. In this paper, a game theory based method has been developed and simulated to show proficiency of managing ventilation system and simultaneously connecting electric vehicles to microgrid (V2G) to provide various demand response services and peak shaving with focus on optimizing generation cost and emission together.
利用需求响应和电动汽车接入微电网优化微电网
传统的电力系统运作方式试图在任何时候保持供需平衡,但这会导致高峰时段的高电价,并且需要巨大的电力容量来满足高峰需求,而在其他时段,这些容量仍然是无用的。为了避免这些问题,许多研究人员关注于调峰和需求响应活动,以提高系统的效率和可靠性。本文提出了一种基于博弈论的方法,并对其进行了仿真,以显示在管理通风系统的同时,电动汽车接入微电网(V2G),提供各种需求响应服务和调峰,同时关注发电成本和排放的优化。
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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