DVR-based power quality enhancement using adaptive particle swarm optimisation technique
by L. Ravi Srinivas; B. Mahesh Babu; S.S. Tulasi Ram
International Journal of Bio-Inspired Computation (IJBIC), Vol. 18, No. 2, 2021

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.

Online publication date: Tue, 12-Oct-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com