Title: Damping of oscillations in multi machine power system by PSO-GWO optimised dual UPFC-based controller

Authors: Narayan Nahak; Ranjan Kumar Mallick

Addresses: Department of Electrical Engineering, Siksha 'O' Anusandhan (Deemed to be University), Odisha, India ' Department of Electrical and Electronics Engineering, Siksha 'O' Anusandhan (Deemed to be University), Odisha, India

Abstract: In this work, hybrid particle swarm optimisation-grey wolf optimiser (PSO-GWO) technique is proposed to tune the parameters of UPFC-based dual damping controller. The proposed optimised controller is applied to damp inter area oscillations in a multi machine power system. The dual controller simultaneously controls two independent control actions of UPFC, which are modulation index of series converter and phase angle of shunt converter. Before being tested to multi-machine system, the controller is tested in a single machine system to validate its efficacy. The results obtained with proposed controller are compared with PSO and GWO optimised controller to prove its supremacy. A broad comparison is performed between single lead-lag and dual controller optimised by PSO, GWO and PSO-GWO techniques. The system responses and eigenvalues show that proposed PSO-GWO optimised dual controller damps oscillations to a large extent in contrast to all other single and dual optimised controllers.

Keywords: FACTS; UPFC; particle swarm optimisation-grey wolf optimiser; PSO-GWO; dual damping controller; multi-machine stability.

DOI: 10.1504/IJAIP.2023.135858

International Journal of Advanced Intelligence Paradigms, 2023 Vol.26 No.3/4, pp.304 - 322

Received: 21 Jun 2017
Accepted: 16 May 2018

Published online: 09 Jan 2024 *

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