电力系统保护与控制2026，Vol.54Issue(17)：13-25,13.DOI:10.19783/j.cnki.pspc.260028
基于切换控制障碍函数的安全增强电压-无功在线反馈优化控制策略
Safety-enhanced online feedback optimization for voltage-reactive power control based on switching control barrier functions
摘要
Abstract
The large-scale integration of renewable energy makes transmission networks more susceptible to voltage violations following disturbances.Existing voltage-reactive power(V-Q)optimization methods struggle to simultaneously achieve fast online response,control stability,and voltage security under sustained disturbances.To address this issue,a safety-enhanced online feedback optimization strategy for V-Q control based on switching control barrier functions(SCBFs)is proposed.First,an online gradient dynamic model of reactive power control costs is established and combined with an approximate Jacobian matrix to formulate a constrained linear control model for online feedback optimization of V-Q control.Then,a safety guidance function for voltage violation recovery is designed and combined with a barrier function that prevents repeated voltage violations,thereby forming a voltage safety-enhanced SCBF.Finally,an optimal control law is designed within the quadratic programming framework,and the forward invariance and asymptotic stability of the proposed control strategy are theoretically established.Simulation results show that,under fault disturbance scenarios,the proposed method achieves significantly faster response and higher control accuracy than offline optimization methods,while providing superior safety and stability compared with the projected gradient descent method.关键词
电压-无功控制/在线反馈优化/控制障碍函数/梯度动态/二次规划/李雅普诺夫稳定性Key words
voltage-reactive power control/online feedback optimization/control barrier function/gradient dynamics/quadratic programming/Lyapunov stability引用本文复制引用
李直珉,邱高,唐志远,刘友波,黄杨,黄震,刘俊勇,税月..基于切换控制障碍函数的安全增强电压-无功在线反馈优化控制策略[J].电力系统保护与控制,2026,54(17):13-25,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.52307124). 国家自然科学基金项目资助(52307124) （No.52307124）
四川省自然科学基金项目资助(2025ZNSFSC1228) （2025ZNSFSC1228）
