Parameter Optimization Method of the Hybrid Simulation Platform of MMC-HVDC System

被引：0
|
作者：
Zhang H. [1 ]
Le J. [1 ]
Zhou Q. [1 ]
Zhou W. [1 ]
机构：
[1] School of Electrical Engineering, Wuhan University, Wuhan, 430072, Hubei Province
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 04期
关键词：
Dynamic simulation system; Modular multilevel converter (MMC); Nonlinear programming; Parameter optimization; Similarity theory;
D O I：
10.13334/j.0258-8013.pcsee.180849
中图分类号：
学科分类号：
摘要：
To reduce the economic cost with the guarantee of performance of a MMC-HVDC dynamic simulation system, a novel parameter design method based on nonlinear programming was proposed in this paper. By analyzing the mathematical model of the modular multilevel converter (MMC), the similarity criterion of the MMC was derived based on similarity theory, and the design principles of the simulated converter was given. The constraint equations were established based on the similarity criterion, and the nonlinear programming method with minimizing the system cost as the object function was used to optimize the parameters of the dynamic simulation system. The method proposed was implemented in the design of a MMC-HVDC project. The simulation models of the original systems and the dynamic simulation system were established, and the steady-state simulation and transient simulation results were compared to prove the correctness and effectiveness of the proposed method. © 2019 Chin. Soc. for Elec. Eng.
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页码：1052 / 1059
页数：7
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