Yu Han, Haiyun An, Yong Li, 等. A Multi-Winding Inductive Filtering Transformer with Hierarchical Loss-Optimization Design for Harmonic Elimination in a Distribution Network[J]. 现代电力系统保护与控制(英文), 2026,11(5):57-66.
Yu Han, Haiyun An, Yong Li, et al. A Multi-Winding Inductive Filtering Transformer with Hierarchical Loss-Optimization Design for Harmonic Elimination in a Distribution Network[J]. Protection and Control of Modern Power Systems, 2026, 11(5): 57-66.
Yu Han, Haiyun An, Yong Li, 等. A Multi-Winding Inductive Filtering Transformer with Hierarchical Loss-Optimization Design for Harmonic Elimination in a Distribution Network[J]. 现代电力系统保护与控制(英文), 2026,11(5):57-66.DOI: 10.23919/PCMP.2024.000159.
Yu Han, Haiyun An, Yong Li, et al. A Multi-Winding Inductive Filtering Transformer with Hierarchical Loss-Optimization Design for Harmonic Elimination in a Distribution Network[J]. Protection and Control of Modern Power Systems, 2026, 11(5): 57-66.DOI: 10.23919/PCMP.2024.000159.
A Multi-Winding Inductive Filtering Transformer with Hierarchical Loss-Optimization Design for Harmonic Elimination in a Distribution Network
摘要
Abstract
The mass access of a power electronics-based source/load resource to a distribution network brings about complex power-quality issues
which aggravate loss problems. This paper proposes a hierarchical loss-optimization design method for the multi-winding inductive filtering transformer applied in a distribution system with the function of harmonic elimination. The transformer parameters are classified hierarchically by means of a Sobol algorithm-based sensitivity analysis
which contributes to reducing the optimization dimension and improving the optimization accuracy. The load harmonic transfer relationship in the inductive filtering transformer is established
and the impedance constraint is obtained. According to the design specification of an inductive filtering transformer
the constraint and optimization parameters of transformer loss optimization are determined. Furthermore
the hierarchical architecture is established through a Sobol sensitivity analysis of the optimized parameters. At last
a case study and simulation are carried out
which show that the transformer loss can be effectively reduced and that optimization algorithms can be applied to further improve the optimization ability.