Small-Signal stability analysis of MMC-HVDC system with saturated transformer

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Electrical Power & Energy Systems Pub Date : 2025-02-26 DOI:10.1016/j.ijepes.2025.110498
Hanwen Wang , Yang Wang , Xianyong Xiao , Yunzhu Chen , Shupeng Li , Zhijun Er , Zhenbin Li
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Abstract

Transformer saturation has a significant impact on the stability of HVDC systems. While traditional research has primarily focused on LCC-HVDC systems, studies on MMC systems remain limited. Given the anticipated dominance of MMC technology in the future, it is crucial to understand the instability risks MMC-HVDC systems face under transformer saturation. The key challenge lies in accurately modeling the harmonic coupling induced by the saturated transformer and analyzing its interaction with MMC-HVDC systems. To tackle this challenge, the harmonic state space (HSS) technique is employed in this paper to model the harmonic coupling in MMC-HVDC systems with saturated transformers. Initially, a saturable transformer model is developed, with the excitation curve fitted using a polynomial approach. This model is then interconnected with the MMC-HVDC system to establish a comprehensive HSS model for analysis. To facilitate the stability analysis, the HSS model is further transformed into a single-input–single-output impedance representation, enabling the effects of harmonic coupling to be observed through impedance curves. Finally, a Nyquist-based stability analysis is performed to explain why MMC-HVDC systems are more prone to instability under transformer saturation and to identify key factors contributing to this instability. Simulation and experimental results validate the theoretical analysis.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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