Title: Performance assessment of PV integrated model predictive controller-based hybrid filter for power quality improvement

Authors: Soumya Ranjan Das; Prakash K. Ray; Debani P. Mishra; Himansu Das

Addresses: Department of Electrical Engineering, IIIT Bhubaneswar, India ' Department of Electrical Engineering, CET, Bhubaneswar, India ' Department of Electrical Engineering, IIIT Bhubaneswar, India ' School of Computer Engineering, KIIT, Bhubaneswar, India

Abstract: The role of predictive controller in recent days is found to be vital in controlling the voltage source inverter (VSI) of the active power filters (APF). It is realised that, the improvement of power quality (PQ) in the utility network using nonlinear loads, with integration of renewable sources, has become an open challenge to the researchers. This paper proposes an integration of photovoltaic (PV) system with three phase power distribution system using series hybrid filter (SEHF). The objective of the paper is to reduce the harmonic components and dc link control of VSI for improving the PQ and simultaneously provide uninterrupted supply to the load by compensating the reactive power. In this work, the fuzzy logic controller (FLC) is employed for maximum power point tracking (MPPT) in a PV system and a model predictive controller with robust extended complex Kalman filter (MPC-RECKF) technique is applied for calculating the fundamental components from distorted value in SEHF. The results obtained using the proposed MPC-RECKF is compared and analysed with traditional controllers in MATLAB/SIMULINK environment.

Keywords: model predictive control; photovoltaic array; robust extended complex Kalman filter; RECKF; series hybrid filters.

DOI: 10.1504/IJPELEC.2022.122416

International Journal of Power Electronics, 2022 Vol.15 No.3/4, pp.396 - 417

Received: 27 Jan 2020
Accepted: 21 Jun 2020
Published online: 25 Apr 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article