Community Microgrid Energy Storage Sizing Considering EV Fleet Batteries as Supplemental Resource

被引：8

作者：

Dang, Qiyun

Wu, Di

Boulet, Benoit

机构：

来源：

2020 IEEE ELECTRIC POWER AND ENERGY CONFERENCE (EPEC) | 2020年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Community energy storage (CES); Continuous Time Markov Chain (CTMC); electric vehicles (EV); energy storage; fast charging station (FCS); SYSTEM;

D O I：

10.1109/EPEC48502.2020.9320089

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 penetration of electric vehicles (EVs) has been increasing very quickly in the last few years. EVs can help reduce the dependency on the fossil energy, greenhouse gas emission, and improve energy efficiency. Besides the afore-mentioned benefits, EVs could also provide extra benefits for the neighborhood level network. This paper present a case study to analyze the potential benefit of using an EV fleet as energy storage in order to cut off and save extra battery packs investments on energy storage. Particularly, the paper provides a Continuous Time Markov Chain (CTMC) based EV fleet total available battery capacity estimation framework dealing with cost savings oriented community energy storage sizing problem. The local fast charging station (FCS) queuing situation and the queuing theory are also considered. Experiment results show that the adoption of EVs could helo significantly reduce the investment on battery storage which could bring significant economic and social benefits.

引用

页数：5

共 24 条

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