ANFIS-BASED CONTROL STRATEGY FOR PHOTOVOLTAIC AND NERGY STORAGE SYSTEM VSG IN WEAK GRID

Wu Hongwei; Wang Shinong; Ge Yuan; Ahmed Amer Ragab

doi:10.19912/j.0254-0096.tynxb.2024-0086

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (5) : 302-310. DOI: 10.19912/j.0254-0096.tynxb.2024-0086

ANFIS-BASED CONTROL STRATEGY FOR PHOTOVOLTAIC AND NERGY STORAGE SYSTEM VSG IN WEAK GRID

Wu Hongwei¹, Wang Shinong¹, Ge Yuan¹, Ahmed Amer Ragab²

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Abstract

Traditional virtual synchronous generator （VSG） control strategy is unable to meet the actual grid integration requirements due to inability to dynamically adjust virtual inertia and damping coefficient. To address this issue, this article first establishes the output impedance model of the VSG based on the working characteristics of VSG control. The Nyquist curve of the eigenvalues of the return ratio matrix eigenvalues is plotted to analyze the stability of VSG under different grid strengths. By combining the small-signal model of the VSG active power loop, the range of virtual inertia and damping coefficient values for VSG is derived. This leads to the proposal of a control strategy for photovoltaic and storage system VSG based on an adaptive neural fuzzy inference system （ANFIS）. Finally, a photovoltaic and storage system VSG simulation model is built in Matlab/Simulink, and the simulation results validate the effectiveness of this control strategy.

Key words

distributed generator / VSG / weak grid / ANFIS / energy storage system

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Wu Hongwei, Wang Shinong, Ge Yuan, Ahmed Amer Ragab. ANFIS-BASED CONTROL STRATEGY FOR PHOTOVOLTAIC AND NERGY STORAGE SYSTEM VSG IN WEAK GRID[J]. Acta Energiae Solaris Sinica. 2025, 46(5): 302-310 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0086

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