Accelerated Transformer Energization Sequence for Black-Start by Grid-Forming Inverters With Active Flux Trajectory Shaping in the Stationary Reference Frame
2026 · IEEE Transactions on Power Electronics
저자
Jiyu Lee, Younggi Lee, Jonghun Yun, J. H Lee, Heng Wu, Jae-Jung Jung, 최성휘 (Shenghui Cui)
연구주제
Microgrid Control and Optimization · Multilevel Inverters and Converters
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
에너지/자원 > 전력계통·전력IT·그리드 > 지능형 전력망 플랫폼 기술에너지 외
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
black start 계통 형성 인버터(GFM) inrush current suppression transformer energization
키워드 (OpenAlex)
black start transformer energization grid-forming inverters demagnetization stationary reference frame core saturation inrush current suppression inverter-dominated power systems
초록
This paper proposes an accelerated, inrush-free transformer energization method for black-start by grid-forming (GFM) inverters that overcomes the inherent low speed of conventional soft-energization (SE) based on voltage ramp-up. In conventional SE, the ramp-up duration is often conservatively selected due to large transformer electromagnetic time constants and unknown post-blackout residual flux. In contrast, the proposed method actively suppresses magnetic-flux bias instead of relying on its passive decay. To this end, an inverter-based demagnetization step is first implemented to eliminate the unknown residual flux. Then, the inverter terminal voltage is synthesized to generate a time-optimal, bias-free magnetic-flux trajectory. To enable systematic trajectory design, the three-phase voltage and magnetic flux are represented as vectors in the stationary reference frame (SRF), providi…
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교수 1
연구주제 1
Microgrid Control and Optimization