Optimal node selection of damping controller for power systems with high wind power penetration. (March 2022)

• Record Type: Journal Article
• Authors: Yang, Shaobo; Xiong, Linyun; Huang, Sunhua; He, Yalan; Li, Penghan; He, Donglin; Wang, Jie
• Is Part Of: International journal of electrical power & energy systems. Volume 136(2022)
• Publication Date: 2022-03
• Subjects: High DFIG penetration -- PSS -- POD -- Power system oscillation -- Optimal controller node selection; 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.2021.107716
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A power system with high wind energy penetration. A coordinated power system damping framework with PODs and PSSs. An optimal node selection approach for locating the PSSs and PODs. An event triggered node augmentation scheme to cope with cascading contingencies. Abstract: With the increasing penetration of doubly fed induction generator (DFIG) wind turbines in power systems, they should be capable of damping the power oscillations. DFIGs equipped power oscillation damper (POD) combing synchronous generators equipped with power system stabilizer (PSS) are being deployed to damping power system oscillations. However, a major gap in this field is the selection of the optimal controller node in the system. This paper aims to propose an optimal node selection approach for POD and PSS in power systems, assisted by an event triggered node augmentation scheme to cope with cascading system contingencies. A submodular function is constructed to evaluate the distance between the system unstable eigenvectors and the controllability Gramian, and the base input set as well as the candidate nodes are selected. Subsequently, an event triggered condition is formulated to allow the candidate controller nodes to participate in damping the system oscillation. Four case studies are conducted and the results indicate that the proposed approach can effectively select the optimal PSS/POD nodes to improve the performance of the controllers.