中国电力2025，Vol.58Issue(9)：33-43,11.DOI:10.11930/j.issn.1004-9649.202410050
基于AHFS与RBF的光储VSG虚拟惯量灵活控制研究
Virtual Inertia Flexible Control of Photovoltaic Storage VSG Based on AHFS and RBF
摘要
Abstract
To address the issue of active power overshoot and the challenge of system dynamic oscillations in grid integration of traditional photovoltaic and energy storage virtual synchronous generators(VSGs),This article proposes a virtual inertia flexible control strategy for photovoltaic storage VSG based on active high-frequency feedback suppression(AHFS)and radial basis function(RBF).Firstly,a first-order filtering link is introduced to enhance the system's high-frequency suppression capability,and an active power differential term is added to the power feedback loop to modify the dynamic performance of the system.Secondly,an objective function considering both active power overshoot and rise time is constructed,and the optimal active power differential coefficient is determined via particle swarm optimization(PSO)algorithm.Finally,an adaptive control strategy for virtual inertia is designed using RBF neural network,which can flexibly adjust the virtual inertia in real-time based on the system's angular velocity and its rate of change.The coordinated control method effectively mitigates the issues of power overshoot and frequency overshooting in traditional VSGs.Simulation results show that the proposed control strategy can effectively suppress frequency deviation and active power overshoot,thereby enhancing the system's transient stability.关键词
光储VSG/电网扰动/频率偏差/有功振荡/RBF神经网络Key words
photovoltaic storage VSG/grid disturbance/frequency deviation/active power oscillation/RBF neural network引用本文复制引用
肖湘奇,邓汉钧,邹晟,肖建红,李恺,马斌..基于AHFS与RBF的光储VSG虚拟惯量灵活控制研究[J].中国电力,2025,58(9):33-43,11.基金项目
国网湖南省电力有限公司科技项目(5216AG22000V). This work is supported by Science and Technology Project of State Grid Hunan Electric Power Company Limited(No.5216AG22000V). （5216AG22000V）
