Coupling analysis on power‐frequency control loops for virtual synchronous generator based on relative gain array and Prony method

Author:

Jia Jiaoxin1ORCID,Yan Xiangwu1,Qin Benshuang1ORCID

Affiliation:

1. Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province North China Electric Power University Baoding China

Abstract

AbstractWith the improvement of the penetration of power electronic equipment, a challenging scenario is arising in power‐frequency control system design of virtual synchronous generator (VSG). This affects the stability and control performance of the multi‐VSG grid‐connected system due to the undesirable dynamic coupling of the power‐frequency control loops. From this perspective, this paper proposes a systematic procedure for accurately evaluating the coupling of power‐frequency control loop, which is based on the relative gain array (RGA) and Prony analysis method. Firstly, the output admittance model of multi‐VSG grid‐connected system is established, and the transfer function matrices of output power and angular frequency are derived, respectively. Then, the variation law of coupling between control loops of VSG with different parameters is investigated by two methods: One is numerical analysis, and the other is RGA method which can determine the frequency band of coupling. Besides, the interaction between different VSG control strategies is compared and analyzed based on RGA. Subsequently, Prony analysis method is proposed to verify the results of RGA analysis. Finally, simulation and experimental results in a two‐machine grid‐connected system are presented to support the theoretical analysis and demonstrate the feasibility of the proposed method.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi‐objective precise phasor measurement locations to assess small‐signal stability using dingo optimizer;Optimal Control Applications and Methods;2023-09-14

2. Power System Control Method Based on Fuzzy Theory and Lawson Algorithm;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25

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