Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge

被引：29

作者：

Yoon, Yourim ^{[1
]}

Kim, Yong-Hyuk ^{[2
]}

机构：

[1] Gachon Univ, Coll Informat Technol, Dept Comp Engn, Songnam 461701, Gyeonggi Do, South Korea

[2] Kwangwoon Univ, Dept Comp Sci & Engn, Seoul 139701, South Korea

来源：

SCIENTIFIC WORLD JOURNAL | 2014年

关键词：

OPTIMAL OPERATION; MANAGEMENT; OPTIMIZATION; MODEL; STRATEGY;

D O I：

10.1155/2014/937329

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A real-coded genetic algorithm is used to schedule the charging of an energy storage system (ESS), operated in tandem with renewable power by an electricity consumer who is subject to time-of-use pricing and a demand charge. Simulations based on load and generation profiles of typical residential customers show that an ESS scheduled by our algorithm can reduce electricity costs by approximately 17%, compared to a system without an ESS and by 8% compared to a scheduling algorithm based on net power.

引用

页数：9

共 35 条

[1]

[Anonymous], P IEEE PES C INN SMA

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