Power system observability and dynamic state estimation for stability monitoring using synchrophasor measurements. (August 2016)

• Record Type: Journal Article
• Authors: Sun, Kai; Qi, Junjian; Kang, Wei
• Is Part Of: Control engineering practice. Volume 53(2016)
• Page Start: 160
• Page End: 172
• Publication Date: 2016-08
• Subjects: Observability -- Dynamic state estimation -- Synchrophasor -- PMUs -- Rotor angle stability -- Unscented Kalman filter; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2016.01.013
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Growing penetration of intermittent resources such as renewable generations increases the risk of instability in a power grid. This paper introduces the concept of observability and its computational algorithms for a power grid monitored by the wide-area measurement system (WAMS) based on synchrophasors, e.g. phasor measurement units (PMUs). The goal is to estimate real-time states of generators, especially for potentially unstable trajectories, the information that is critical for the detection of rotor angle instability of the grid. The paper studies the number and siting of synchrophasors in a power grid so that the state of the system can be accurately estimated in the presence of instability. An unscented Kalman filter (UKF) is adopted as a tool to estimate the dynamic states that are not directly measured by synchrophasors. The theory and its computational algorithms are illustrated in detail by using a 9-bus 3-generator power system model and then tested on a 140-bus 48-generator Northeast Power Coordinating Council power grid model. Case studies on those two systems demonstrate the performance of the proposed approach using a limited number of synchrophasors for dynamic state estimation for stability assessment and its robustness against moderate inaccuracies in model parameters.