Multiobjective Power Losses Optimization of MMC Based on Multipopulation Genetic Algorithm for HVdc Transmission System

The modular multilevel converter (MMC), with its strengths of efficient and easy to expand, has become one of the core components in high-voltage direct current (HVdc) transmission. The gross power losses of the submodule (SM) and the semiconductor devices with the highest losses in the SM significantly influence the operational cost and service life of MMCs. The losses optimization method based on circulating current control has become an important power losses optimization technique due to its advantage of low system hardware costs and low output current harmonics. To achieve co-optimization of MMC operational cost and service life, this article introduces a multiobjective power losses optimization control based on multipopulation genetic algorithm (MOPLOC-MPGA). Simulation and experimental verification are carried out to prove the applicability of the raised MOPLOC-MPGA in MMCs.

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Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2025-02-26
DOI
https://doi.org/10.1109/jestpe.2025.3543385
Citations
4
Primary Topic
High-Voltage Power Transmission Systems
Type
article
Field-Weighted Citation Impact
2.92

Funders

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article

Multiobjective Power Losses Optimization of MMC Based on Multipopulation Genetic Algorithm for HVdc Transmission System

Jia Pei, Rujin Wang, Yan V. Sun, Yutan Li et al.
4 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
High-Voltage Power Transmission Systems
2.92
article

Multiobjective Power Losses Optimization of MMC Based on Multipopulation Genetic Algorithm for HVdc Transmission System

Jia Pei, Rujin Wang, Yan V. Sun, Yutan Li, J. Zhao, Hong Fu, Hui Liu, Wenhui Zhang, Sitong Wu
article en
4 citations

Abstract

The modular multilevel converter (MMC), with its strengths of efficient and easy to expand, has become one of the core components in high-voltage direct current (HVdc) transmission. The gross power losses of the submodule (SM) and the semiconductor devices with the highest losses in the SM significantly influence the operational cost and service life of MMCs. The losses optimization method based on circulating current control has become an important power losses optimization technique due to its advantage of low system hardware costs and low output current harmonics. To achieve co-optimization of MMC operational cost and service life, this article introduces a multiobjective power losses optimization control based on multipopulation genetic algorithm (MOPLOC-MPGA). Simulation and experimental verification are carried out to prove the applicability of the raised MOPLOC-MPGA in MMCs.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(3)
Anhui University (CN), Hefei University of Technology (CN), Xinjiang Industry Technical College (CN), Jiangsu Vocational Institute of Architectural Technology (CN)
Xuzhou Science and Technology Program
Openalex Percentile: Top 10%
High-Voltage Power Transmission Systems
2.92
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