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.
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页数：9
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