Tube Model Predictive Control Based Cyber-attack-resilient Optimal Voltage Control Strategy in Wind Farms
作者机构:College of Electrical Electronic EngineeringZhejiang UniversityHangzhou 310058China Department of Electrical EngineeringThe Hong Kong Polytechnic UniversityKowloonHong KongChina Haiyan power supply company of State Grid Zhejiang Electric Power Co.LtdHangzhouChina
出 版 物:《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报(英文))
年 卷 期:2024年第10卷第2期
页 面:530-538页
核心收录:
学科分类:0820[工学-石油与天然气工程] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理]
基 金:supported by the National Natural Science Foundation of China(U1909201) the Hong Kong Polytechnic University Research Program(SB2D)
主 题:Attack-resilient control optimal voltage control tube-based model predictive control wind farm-connected power system
摘 要:Optimal voltage controls have been widely applied in wind farms to maintain voltage stability of power *** order to achieve optimal voltage operation,authentic grid information is widely needed in the sensing and actuating ***,this may induce system vulnerable to malicious *** this end,a tube model predictive control-based cyber-attack-resilient optimal voltage control method is proposed to achieve voltage stability against malicious *** proposed method consists of two cascaded model predictive controllers(MPC),which outperform other peer control methods in effective alleviation of adverse effects from cyber-attacks on actuators and sensors of the ***,efficiency of the proposed method is evaluated in sensor and actuator cyber-attack cases based on a modified IEEE 14 buses system and IEEE 118 buses *** Terms-Attack-resilient control,optimal voltage control,tube-based model predictive control,wind farm-connected power system.