Highly Efficient Power Conditioning Topology for Maximum Energy Extraction from Wind Power System Using Hill Climbing Search-MPC Approach

Zahira Anane; Badreddine Babes; Noureddine Hamouda

doi:10.5935/jetia.v11i54.1751

Authors

Zahira Anane Department of Electrical Engineering, Faculty of Technology, Ferhat Abbas University, Sétif-1, 19000 Sétif, Algeria https://orcid.org/0000-0002-0268-8369 (unauthenticated)
Badreddine Babes Research Center in Industrial Technologies CRTI, Cheraga, P.O.Box 64, 16014 Algiers, Algeria https://orcid.org/0000-0002-9256-2021 (unauthenticated)
Noureddine Hamouda Research Center in Industrial Technologies CRTI, Cheraga, P.O.Box 64, 16014 Algiers, Algeria https://orcid.org/0000-0002-8489-2135 (unauthenticated)

DOI:

https://doi.org/10.5935/jetia.v11i54.1751

Abstract

This article proposes a high-gain and high-efficiency power conditioning topology for grid connected wind energy system (WES) based on Hill Climbing Search (HCS) algorithm and a fixed frequency Model Predictive Controller (MPC) to maximize the energy harvest and control the DC/DC switched inductor boost converter (SIBC) to achieve high performance regardless of wind speed variations. In this study, the MPC is based on minimizing the difference between the reference and prediction currents, which is computed to select the switching state of the SIBC converter. The feasibility of the proposed SIBC converter and HCS-MPC scheme is verified in a variety of dynamic conditions through dSPACE DS1104-based experiments on a 3 kW wind energy conversion system prototype. Outcomes show that the suggested control mechanism follows the maximum power point (MPP) with less power fluctuations.