Efficient Maximum Power Point Tracking for a Distributed PV System under Rapidly Changing Environmental Conditions
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Yohan | - |
dc.contributor.author | Pham, Son N. | - |
dc.contributor.author | Yoo, Taegeun | - |
dc.contributor.author | Chae, Kookbyung | - |
dc.contributor.author | Baek, Kwang-Hyun | - |
dc.contributor.author | Kim, Yong Sin | - |
dc.date.accessioned | 2021-09-04T13:52:35Z | - |
dc.date.available | 2021-09-04T13:52:35Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2015-08 | - |
dc.identifier.issn | 0885-8993 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/92877 | - |
dc.description.abstract | When conventional maximum power point tracking (MPPT) techniques are required to operate fast under rapidly changing environmental conditions, a large power loss can be caused by slow tracking speed, output power fluctuation, or additionally required ad hoc parameters. This paper proposes a fast and efficient MPPT technique that minimizes the power loss with the adaptively binary-weighted step (ABWS) followed by the monotonically decreased step (MDS) without causing output power fluctuation or requiring additional ad hoc parameter. The proposed MPPT system for a photovoltaic (PV) module is implemented by a boost converter with a microcontroller unit. The theoretical analysis and the simulation results show that the proposed MPPT provides fast and accurate tracking under rapidly changing environmental conditions. The experimental results based on a distributed PV system demonstrate that the proposed MPPT technique is superior to the conventional perturb and observe (P&O) technique, which reduces the tracking time and the overall power loss by up to 82.95%, 91.51% and 82.46%, 97.71% for two PV modules, respectively. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | PHOTOVOLTAIC SYSTEMS | - |
dc.subject | MPPT METHOD | - |
dc.subject | OPTIMIZATION | - |
dc.subject | CONVERSION | - |
dc.subject | INVERTER | - |
dc.subject | PERTURB | - |
dc.title | Efficient Maximum Power Point Tracking for a Distributed PV System under Rapidly Changing Environmental Conditions | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Yong Sin | - |
dc.identifier.doi | 10.1109/TPEL.2014.2352314 | - |
dc.identifier.scopusid | 2-s2.0-84924875407 | - |
dc.identifier.wosid | 000353128500017 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON POWER ELECTRONICS, v.30, no.8, pp.4209 - 4218 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON POWER ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON POWER ELECTRONICS | - |
dc.citation.volume | 30 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 4209 | - |
dc.citation.endPage | 4218 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | PHOTOVOLTAIC SYSTEMS | - |
dc.subject.keywordPlus | MPPT METHOD | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | CONVERSION | - |
dc.subject.keywordPlus | INVERTER | - |
dc.subject.keywordPlus | PERTURB | - |
dc.subject.keywordAuthor | Binary-weighted step | - |
dc.subject.keywordAuthor | distributed system | - |
dc.subject.keywordAuthor | environmental conditions | - |
dc.subject.keywordAuthor | maximum power point (MPP) | - |
dc.subject.keywordAuthor | photovoltaic (PV) system | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea 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.