A PSO-MMA Method for the Parameters Estimation of Interarea Oscillations in Electrical Grids

• Published in: IEEE transactions on instrumentation and measurement Vol. 69; no. 11; pp. 8853 - 8865
• Main Authors: Bonavolonta, Francesco, Noia, Luigi Pio Di, Liccardo, Annalisa, Tessitore, Salvatore, Lauria, Davide
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Damping; Frequency estimation; Heuristic methods; Interarea oscillations; low-frequency oscillations (LFO); Measuring instruments; online damping estimation; Oscillations; Oscillators; Parameter estimation; Particle swarm optimization; particle swarm optimization (PSO); Phasors; Power system stability; Reliability analysis; Stability criteria; Transmission lines
• ISSN: 0018-9456; 1557-9662
• DOI: 10.1109/TIM.2020.2998909

This article deals with the parameters' measurement of interarea oscillations, which are low-frequency damped oscillations that affect the high-voltage transmission lines when an unbalance between the power demand and the generated power occurs. The authors propose a method that processes the samples provided by the phasor measurement unit (PMU) and performs the online estimation of the parameters that characterize the interarea oscillations. The method takes advantage of the speed of a heuristic algorithm, such as the particle swarm optimization (PSO), but performs an enhancement on the results to increase the reliability. The tests carried out for the method assessment prove that the proposed method is characterized by a fast response, high accuracy, and excellent reliability, regardless of the type of oscillation that is considered.