Optimal Battery Energy Storage Control for Multi-Service Provision Using a Semidefinite Programming-based Battery Model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, H. | - |
dc.contributor.author | Baldick, R. | - |
dc.date.accessioned | 2024-04-16T02:31:34Z | - |
dc.date.available | 2024-04-16T02:31:34Z | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.issn | 1949-3029 | - |
dc.identifier.issn | 1949-3037 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/32937 | - |
dc.description.abstract | Battery energy storage systems (BESS) capable of simultaneously providing multiple grid services can assist a distribution grid operator in overcoming various challenges due to the high penetration of distributed solar photovoltaics and accelerated electrification. The seamless provision of multiple services can be ensured with BESS control decisions based on an accurate model reflecting the battery characteristics. Thus, this paper presents a novel Li-ion battery model based on linear matrix inequalities along with a semidefinite programming (SDP)-based model to determine the optimal BESS control decisions for the provision of multiple services in distribution systems. Peak shaving, power factor improvement, and electricity cost savings are considered for the services. Moreover, the mathematical analysis reveals that the original nonconvex problem can be equivalently transformed into the SDP model. The effectiveness of using BESS in the distribution system is verified through simulations using real-world data. Ultimately, a comparative analysis with a conventional linear model demonstrates that the proposed battery model reduces the energy losses in the batteries, in the simulation condition, and help maintain the battery states within normal operating limits. IEEE | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Optimal Battery Energy Storage Control for Multi-Service Provision Using a Semidefinite Programming-based Battery Model | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/TSTE.2023.3263236 | - |
dc.identifier.scopusid | 2-s2.0-85153377953 | - |
dc.identifier.wosid | 001072574400020 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Sustainable Energy, v.14, no.4, pp 1 - 14 | - |
dc.citation.title | IEEE Transactions on Sustainable Energy | - |
dc.citation.volume | 14 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 14 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Energy & Fuels | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | OPTIMAL POWER-FLOW | - |
dc.subject.keywordPlus | LITHIUM-ION BATTERIES | - |
dc.subject.keywordPlus | UNIT COMMITMENT | - |
dc.subject.keywordPlus | PHYSICAL PRINCIPLES | - |
dc.subject.keywordPlus | OPERATION | - |
dc.subject.keywordPlus | DEGRADATION | - |
dc.subject.keywordPlus | RELAXATION | - |
dc.subject.keywordPlus | PORTFOLIOS | - |
dc.subject.keywordPlus | ARBITRAGE | - |
dc.subject.keywordAuthor | Analytical models | - |
dc.subject.keywordAuthor | Batteries | - |
dc.subject.keywordAuthor | Batteries | - |
dc.subject.keywordAuthor | battery energy storage system | - |
dc.subject.keywordAuthor | Integrated circuit modeling | - |
dc.subject.keywordAuthor | Mathematical models | - |
dc.subject.keywordAuthor | model predictive control | - |
dc.subject.keywordAuthor | multiple services | - |
dc.subject.keywordAuthor | Optimization | - |
dc.subject.keywordAuthor | Reactive power | - |
dc.subject.keywordAuthor | Renewable energy sources | - |
dc.subject.keywordAuthor | semidefinite programming | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.