Coordinat Dynamic Power Management for Renewable Energy-based Grid-Connected Microgrids using Model Predictive Control
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kumar, Kuldeep | - |
dc.contributor.author | Bae, Sangsu | - |
dc.date.accessioned | 2023-09-26T07:38:15Z | - |
dc.date.available | 2023-09-26T07:38:15Z | - |
dc.date.created | 2023-02-08 | - |
dc.date.issued | 2023-09 | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191073 | - |
dc.description.abstract | Present study proposes a coordinated dynamic power management system (PMS) for renewable energy-based microgrids. The coordinated control framework consists of two parts; one is centralized, and the other is a local layer. The centralized layer optimally allocates the power among the different components in the microgrid, considering their response times, physical constraints on power output, and the state of charge of energy storage devices. The local layer is responsible for the control of the onboard dedicated power converters of the respective power sources. A model predictive control methodology is used for the control of both layers. The functionality of the proposed PMS is verified in hardware-in-the-loop experiments in different operating conditions. The results showed that the dynamic performance of the microgrids with the proposed method is more effective as compared to the conventional method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Coordinat Dynamic Power Management for Renewable Energy-based Grid-Connected Microgrids using Model Predictive Control | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Bae, Sangsu | - |
dc.identifier.doi | 10.1109/TII.2022.3231409 | - |
dc.identifier.scopusid | 2-s2.0-85146218996 | - |
dc.identifier.wosid | 001037910900032 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.19, no.9, pp.9596 - 9608 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | - |
dc.citation.title | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | - |
dc.citation.volume | 19 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 9596 | - |
dc.citation.endPage | 9608 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.subject.keywordPlus | SECONDARY CONTROL | - |
dc.subject.keywordPlus | VOLTAGE | - |
dc.subject.keywordPlus | AC | - |
dc.subject.keywordAuthor | Fuel cell (FC) | - |
dc.subject.keywordAuthor | grid integration | - |
dc.subject.keywordAuthor | hybrid energy storage | - |
dc.subject.keywordAuthor | model predictive control (MPC) | - |
dc.subject.keywordAuthor | renewable | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/9998082 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.