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고장 상황에서 계통 재구성 및 MMC 제어를 고려한 신뢰도 기반 AC/DC 하이브리드 배전망 계획 방안open accessAC/DC Hybrid Distribution Network Planning Approach Considering Reconfiguration and MMC Control During Fault Conditions

Other Titles
AC/DC Hybrid Distribution Network Planning Approach Considering Reconfiguration and MMC Control During Fault Conditions
Authors
오병찬김성열
Issue Date
Dec-2025
Publisher
대한전기학회
Keywords
AC/DC Hybrid Distribution Network; Reliability; Two-Stage Robust Planning
Citation
Transactions of the Korean Institute of Electrical Engineers, v.74, no.12, pp 2091 - 2098
Pages
8
Indexed
SCOPUS
KCI
Journal Title
Transactions of the Korean Institute of Electrical Engineers
Volume
74
Number
12
Start Page
2091
End Page
2098
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210961
DOI
10.5370/KIEE.2025.74.12.2091
ISSN
1975-8359
2287-4364
Abstract
Amid the global energy transition toward carbon neutrality, renewable energy deployment is rapidly expanding worldwide. However, the rapid expansion of renewable energy is revealing the technical limitations of existing alternating current (AC) systems, causing issues such as reduced power grid flexibility, system stability problems due to intermittency and high variability, and connection waiting issues in distribution networks. As a promising alternative, MVDC (Medium Voltage Direct Current) based AC/DC hybrid distribution networks can increase renewable energy integration capacity by up to 60% and improve line load capacity by more than 30%. While operational aspects of AC/DC hybrid systems have been extensively studied, research on initial system design and construction remains insufficient. This paper proposes a planning approach that considers not only economics but also operational optimization during fault conditions in the initial AC/DC hybrid distribution network planning stage. For distribution reliability index calculation, the approach integrates existing system reconfiguration methods with MMC dynamic voltage and power control schemes, while addressing uncertainties of renewable energy output variations and load fluctuations through a two-stage robust planning framework.
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