Journal of Shanghai Jiao Tong University ›› 2022, Vol. 56 ›› Issue (3): 325-332.doi: 10.16183/j.cnki.jsjtu.2021.444

Special Issue: 《上海交通大学学报》“新型电力系统与综合能源”专题(2022年1~6月)

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

A Dual Cooperative Optimization for Optimal Redundancy Quantity of MMC Submodules of Flexible Controller

MA Zhoujun1, WANG Yong1, WANG Jie2(), CHEN Shaoyu2   

  1. 1. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210019, China
    2. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2021-11-04 Online:2022-03-28 Published:2022-04-01
  • Contact: WANG Jie


The failure of modular multilevel converter (MMC) submodules in the flexible direct current (DC) system affects the normal operation of the system, and the mutual restriction of reliability and economy is one of the key issues of MMC redundancy configuration optimization. A multi-objective optimization function of MMC reliability and economy mathematical model with redundant submodules was established. Based on the weight coefficient and NSGAII multi-objective optimization methods, a dual collaborative optimization for redundancy quantity of flexible controller was proposed. Combining the advantages of the two methods, the intersection of the two optimization results was calculated under the same redundancy quantity selection preference. A model based on a DC project in a flexible station area of Nanjing was built in MATLAB. The simulation results prove that the proposed method can not only meet the reliability of the flexible DC system, but also significantly improve the economy. It provides ideas for redundancy quantity of MMC submodules in the actual flexible DC project.

Key words: modular multilevel converter (MMC), redundant submodule, NSGAII multi-objective optimization, weight coefficient, redundancy quantity optimization

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