Cited 0 time in
Development of E-STATCOM analytical model for impact analysis of the southwest sea offshore wind farm linked system
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Park, Su-Seong | - |
| dc.contributor.author | Lee, Dong-Geun | - |
| dc.contributor.author | Kim, Rae-Young | - |
| dc.date.accessioned | 2026-04-02T06:30:24Z | - |
| dc.date.available | 2026-04-02T06:30:24Z | - |
| dc.date.issued | 2026-06 | - |
| dc.identifier.issn | 2352-4847 | - |
| dc.identifier.issn | 2352-4847 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211912 | - |
| dc.description.abstract | An electromagnetic transient (EMT) analysis model is presented to evaluate the impact of large-scale offshore wind farm integration on the power system in the southwestern sea of Korea, in accordance with the 10th Basic Plan for Power Supply and Demand. An efficient E-STATCOM analysis model is developed by incorporating average representations of the MMC, DC–DC converter, and energy storage system (ESS) into an EMT framework, enabling system-level dynamic analysis with reduced computational burden while preserving essential transient behavior. Model parameters are derived based on power system characteristics and STATCOM ratings. The southwestern regional transmission system is converted into an EMT environment, and the operation and control modes of the proposed E-STATCOM are verified. The proposed model is comparatively evaluated against conventional EMT modeling approaches to assess dynamic fidelity and computational efficiency. The impact of E-STATCOM integration is analyzed mainly from voltage and frequency perspectives, considering variations in transmission lines, load conditions, and power generation before and after connection. The results confirm that the proposed EMT modeling framework provides an effective and scalable solution for analyzing large-scale offshore wind integration under weak-grid conditions. © 2026 The Authors. | - |
| dc.format.extent | 21 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier Ltd | - |
| dc.title | Development of E-STATCOM analytical model for impact analysis of the southwest sea offshore wind farm linked system | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.egyr.2026.109199 | - |
| dc.identifier.scopusid | 2-s2.0-105033082372 | - |
| dc.identifier.wosid | 001723458400001 | - |
| dc.identifier.bibliographicCitation | Energy Reports, v.15, pp 1 - 21 | - |
| dc.citation.title | Energy Reports | - |
| dc.citation.volume | 15 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 21 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Energy & Fuels | - |
| dc.relation.journalWebOfScienceCategory | Energy & Fuels | - |
| dc.subject.keywordPlus | MODULAR MULTILEVEL CONVERTERS | - |
| dc.subject.keywordPlus | MMC | - |
| dc.subject.keywordPlus | KV | - |
| dc.subject.keywordAuthor | Assessment of system impact | - |
| dc.subject.keywordAuthor | E-STATCOM | - |
| dc.subject.keywordAuthor | E-TRAN | - |
| dc.subject.keywordAuthor | Energy Storage System | - |
| dc.subject.keywordAuthor | Frequency control | - |
| dc.subject.keywordAuthor | Large-scale offshore wind farm in southwest sea | - |
| dc.subject.keywordAuthor | MMC STATCOM control | - |
| dc.subject.keywordAuthor | Power control | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S235248472600168X?via%3Dihub | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 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.
