A novel PSO-CWA algorithm for the estimation of inter-area oscillation parameters

• Published in: IEEE International Instrumentation and Measurement Technology Conference (Online) pp. 1 - 6
• Main Authors: Angrisani, Leopoldo, Bonavolonta, Francesco, Di Noia, Luigi Pio, Lauria, Davide, Liccardo, Annalisa, Tessitore, Salvatore, Ruggiero, Davide
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2020
• Subjects: Damping; Damping and frequency estimation; Estimation; Frequency estimation; inter-area oscillations; Particle swarm optimization; particle swarm optimization (PSO); Phasor measurement units; power system stability; real-time estimation; Signal processing algorithms; Transient analysis
• ISSN: 2642-2077
• DOI: 10.1109/I2MTC43012.2020.9128935

The paper deals with the analysis of inter-area oscillations, that originates from power transients occurred in high extension grids. The research activity is focused on the implementation of a method capable to provide the manager of the national transmission grid with a tool for real time and accurate monitoring of the power system stability. In particular, the authors present a signal-based algorithm which, starting from the values estimated by the Phasor Measurement Units (PMUs) on the grid, allows the online monitor of the parameters (damping and frequency) characterizing the inter-area oscillations. The proposed algorithm is based on the Particles Swarm Optimization (PSO) method, but the traditional PSO has been enhanced through the use of a Continuous Weighted Average (CWA) which, at each iteration step, filters the PSO outputs assuring the reliability of the estimates.