Counteractive control against cyber‐attack uncertainties on frequency regulation in the power system. Issue 4 (24th November 2020)

• Record Type: Journal Article
• Authors: Prasad, Sheetla
• Is Part Of: IET cyber-physical systems. Volume 5:Issue 4(2020)
• Page Start: 394
• Page End: 408
• Publication Date: 2020-11-24
• Subjects: power generation control -- nonlinear control systems -- damping -- closed loop systems -- load regulation -- three‐term control -- power system control -- delay estimation -- observers -- delays -- control system synthesis -- compensation -- linear quadratic control -- adaptive control -- frequency control -- robust control; counteractive control -- cyber‐attack uncertainty -- observer‐based control strategy -- load frequency control scheme -- detection scheme -- cyber‐attack vulnerabilities -- counteractive robust control scheme -- observer‐based control scheme -- unknown input attack uncertainty -- communication time‐delay attack uncertainty -- generalised extended state observer -- observer ensures accurate estimation -- power system cyber‐physical networks
• DOI: 10.1049/iet-cps.2019.0097
• Languages: English
• ISSNs: 2398-3396

Abstract

Abstract : In this study, an observer based control strategy is proposed for load frequency control (LFC) scheme against cyber‐attack uncertainties. Most of research work focused on detection scheme or delay estimation scheme in presence of cyber‐attack vulnerabilities and paid less attention on design of counteractive robust control scheme for LFC problem. Thus, observer based control scheme is designed here and provides robust performance against unknown input attack uncertainty and communication time‐delay attack uncertainty. The generalized extended state observer (GESO) is used not only for state and disturbance estimation but also for disturbance rejection of the system. The said observer ensures accurate estimation of the actual states leading to convergence of estimation error to zero. So, the observer based linear quadratic regulator (LQR) is used to regulate the closed‐loop damping ratio against cyber‐attack uncertainty. In addition to fast response in terms of settling time and reduced over/undershoots, the proposed control scheme satisfactorily compensates the cyber‐attack uncertainties in power system cyber physical networks and also compared with existing traditional PI and PID controllers. The simulation results demonstrate the robustness in terms of stability and effectiveness in terms of system security with proposed controller when subjected to cyber‐attack uncertainties and load disturbances.