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Adaptive Control Strategy with Threshold of Virtual Inertia and Virtual Damping for Virtual Synchronous Generator
Author(s) -
Weihua Deng,
Zhong Jin,
Ming-Jer Huang,
Jixue Zhang,
Zhekai Zhang
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2203/1/012039
Subject(s) - control theory (sociology) , inertia , adaptive control , computer science , oscillation (cell signaling) , generator (circuit theory) , power (physics) , permanent magnet synchronous generator , adaptation (eye) , automatic frequency control , control engineering , control (management) , engineering , physics , artificial intelligence , telecommunications , classical mechanics , quantum mechanics , biology , optics , genetics
Virtual Synchronous Generator (VSG) control strategy can provide inertia and damping support for the power system by simulating the operating characteristics of synchronous generator, and improve the frequency response of the power system. First, analyse the influence of various parameters on the output characteristics of the system by establishing a mathematical model of VSG. Secondly, to fully utilize the flexible and controllable characteristics of VSG control strategy, the basic principle of VSG parameter adaptation is obtained through the analysis of the angular frequency oscillation characteristics of synchronous generators, and an adaptive control strategy of virtual inertia and virtual damping parameter is proposed, which can better track changes in frequency, and set the action threshold for adaptive control. Finally, compare the frequency and active power response between the traditional VSG control strategy and the adaptive one and verify the effectiveness of the proposed control strategy.