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

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 cu...

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Main Authors: Yourim Yoon, Yong-Hyuk Kim
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/937329
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author Yourim Yoon
Yong-Hyuk Kim
author_facet Yourim Yoon
Yong-Hyuk Kim
author_sort Yourim Yoon
collection DOAJ
description 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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institution Kabale University
issn 2356-6140
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publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-6da0bc69f7e44be2ae2d446821efdfe32025-02-03T01:22:46ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/937329937329Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand ChargeYourim Yoon0Yong-Hyuk Kim1Department of Computer Engineering, College of Information Technology, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of KoreaDepartment of Computer Science & Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Republic of KoreaA 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.http://dx.doi.org/10.1155/2014/937329
spellingShingle Yourim Yoon
Yong-Hyuk Kim
Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
The Scientific World Journal
title Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
title_full Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
title_fullStr Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
title_full_unstemmed Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
title_short Charge Scheduling of an Energy Storage System under Time-of-Use Pricing and a Demand Charge
title_sort charge scheduling of an energy storage system under time of use pricing and a demand charge
url http://dx.doi.org/10.1155/2014/937329
work_keys_str_mv AT yourimyoon chargeschedulingofanenergystoragesystemundertimeofusepricingandademandcharge
AT yonghyukkim chargeschedulingofanenergystoragesystemundertimeofusepricingandademandcharge