title: Charge scheduling of an energy storage system under time-of-use pricing and a demand charge.
abstract: 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.
authors.affiliation: Department of Computer Engineering, College of Information Technology, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of Korea.
authors.forename: Yourim
authors.initials: Y
authors.lastname: Yoon
authors.affiliation: Department of Computer Science & Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Republic of Korea.
authors.forename: Yong-Hyuk
authors.identifier: 0000-0002-0492-0889
authors.initials: YH
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003246:Conservation of Energy Resources / Q000191:economics*; D003365:Costs and Cost Analysis / Q000379:methods*; D011211:Electric Power Supplies / Q000191:economics*; D005245:Fee Schedules; D013997:Time Factors