@Article{ee.2026.086703,
AUTHOR = {Qian Wu, Yuchao Zheng, Linyuan Wang, Yang Wang, Chenlu Mao, Bingtuan Gao},
TITLE = {Multi-Objective Optimization Method for Insulation Coordination of Offshore VSC-HVDC Converter Stations Considering Surge Arrester Parameter Selection},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/27778},
ISSN = {1546-0118},
ABSTRACT = {Reasonable insulation coordination design balancing economic cost and operational safety of equipment is particularly critical for VSC-HVDC converter stations subject to lightweight and high-integration requirements. To address the excessive margins of surge arrester parameter selection and insulation coordination in conventional engineering schemes, this paper proposes a systematic collaborative optimization method of surge arrester parameters and equipment insulation levels for offshore VSC-HVDC converter stations. Based on a typical ±400 kV offshore wind VSC-HVDC system, the surge arrester arrangement and insulation margins of the offshore VSC-HVDC converter station are presented and discussed according to the principles insulation coordination. Accordingly, a multi-objective coordinate optimization model for surge arrester parameters and equipment insulation levels is proposed, considering both life-cycle cost objective and technical objective, in which a novel transient stress index-based equivalent safety margin is introduced as the technical optimization objective. Meanwhile, an electromagnetic-transient-simulation-driven discrete multi-objective optimization solution method is adopted to obtain the optimal design scheme. Finally, a case study is carried out to verify the feasibility and effectiveness of the proposed systematic insulation coordination design methodology. Simulation results reveal that, compared with the direct-margin reference, the proposed recommended scheme improves the system-level equivalent safety margin by 7.40% and reduces the total life-cycle cost by 3.42%.},
DOI = {10.32604/ee.2026.086703}
}