Development of E-STATCOM analytical model for impact analysis of the southwest sea offshore wind farm linked systemopen access
- Authors
- Park, Su-Seong; Lee, Dong-Geun; Kim, Rae-Young
- Issue Date
- Jun-2026
- Publisher
- Elsevier Ltd
- Keywords
- Assessment of system impact; E-STATCOM; E-TRAN; Energy Storage System; Frequency control; Large-scale offshore wind farm in southwest sea; MMC STATCOM control; Power control
- Citation
- Energy Reports, v.15, pp 1 - 21
- Pages
- 21
- Indexed
- SCIE
SCOPUS
- Journal Title
- Energy Reports
- Volume
- 15
- Start Page
- 1
- End Page
- 21
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211912
- DOI
- 10.1016/j.egyr.2026.109199
- ISSN
- 2352-4847
2352-4847
- 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.
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