Title: DVR-based power quality enhancement using adaptive particle swarm optimisation technique

Authors: L. Ravi Srinivas; B. Mahesh Babu; S.S. Tulasi Ram

Addresses: Department of EEE, GEC, Gudlavalleru, A.P., India ' Department of EEE, GEC, Gudlavalleru, A.P., India ' Department of EEE, GNITS, Hyderabad, TS, India

Abstract: This paper proposes a heuristic control of the series active power filter for power quality enhancement. In the context of power quality, the series active filter is better utilised as a voltage source controller contrary to its conventional usage as variable impedance. The present day utility system as a linear model is unsatisfactory and the steps are laid down to discuss utility systems as a nonlinear model. This paper deals with comparative analysis of particle swarm optimisation (PSO) and its contemporary modified PSO algorithms modified particle swarm optimisation (MPSO), and adaptive particle swarm optimisation (APSO). The harmonic reduction in the source current and sags/swells mitigation in the load voltage is carried out with the optimal tuning of the PI controller. The series active power filter as a harmonic suppressor with a specific reference controlled strategy is discussed in this paper. The synchronous reference frame (SRF) theory and its modified versions are used to generate a compensating signal. The hysteresis band current controller (HBCC) is used to perform the switching operation of voltage source inverter. Simulations are carried out in the MATLAB/Simulink environment.

Keywords: dynamic voltage restorer; DVR; synchronous reference frame theory; SRFT; particle swarm optimisation; PSO.

DOI: 10.1504/IJBIC.2021.118084

International Journal of Bio-Inspired Computation, 2021 Vol.18 No.2, pp.92 - 104

Accepted: 24 Aug 2020
Published online: 12 Oct 2021 *

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