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

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.