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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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. |
format | Article |
id | doaj-art-6da0bc69f7e44be2ae2d446821efdfe3 |
institution | Kabale University |
issn | 2356-6140 1537-744X |
language | English |
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 |