Optimizing Microgrid Using Demand Response and Electric Vehicles Connection to Microgrid

被引:0
作者
Liasi, Sahand Ghaseminejad [1 ]
Bathaee, Seyed Mohammad Taghi [1 ]
机构
[1] KN Toosi Univ Technol, Elect Engn Dept, Tehran, Iran
来源
2017 SMART GRID CONFERENCE (SGC) | 2017年
关键词
Demand response; thermostatically controlled loads; peak shaving; optimizing microgrid; game theory; V2G;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:7
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