Unified Smith predictor compensation and optimal damping control for time-delay power system. (May 2020)

• Record Type: Journal Article
• Authors: Nie, Yonghui; Zhang, Pengyu; Cai, Guowei; Zhao, Yan; Xu, Mingwen
• Is Part Of: International journal of electrical power & energy systems. Volume 117(2020)
• Publication Date: 2020-05
• Subjects: Inter-area oscillation -- Integral of time-weighted absolute error -- Unified Smith predictor -- Time delay -- Wide-area damping control; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.105670
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: An optimal WADC controller considering time delay is proposed to suppress low frequency oscillations. A USP provides compensation of time delay, thus mitigating the influence of time delay on the control system. The ITAE criterion considers both the excitation system speed and the controller damping characteristics. The proposed control approach improves the dynamic performance and the time-delay stability boundaries. Abstract: Wide-area signals from wide-area damping controllers have non-negligible delays during acquisition and transmission in power systems. Such delays can undermine the damping performance of wide-area power system stabilizers. To handle this type of delay, we propose an optimal wide-area damping controller considering time delay. First, the open-loop power system is linearized, and the installation locations of the controller and feedback signal are selected from geometric measurements. Then, frequency-domain identification allows to obtain the system estimation model, and a unified Smith predictor provides compensation of time delay, thus mitigating the influence of time delay on the control system. Finally, particle swarm optimization is applied to further improve the controller. The proposed controller not only eliminates the influence of time delay but also ensures robustness by automatically performing particle swarm optimization and using collaborative search of individual local and group global information to speed up convergence. Taking the two-area four-machine and New England systems for testing, simulation results show that the proposed method enhances the ability of the closed-loop system to withstand time delay and effectively improves both the damping of low-frequency oscillations and the dynamic stability of the power systems.