Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Abstract

This paper presents a novel Maximum Power Point Tracking (MPPT) algorithm designed for Wind Energy Conversion Systems (WECS) to achieve optimal power extraction (Pmax). The controllers employed in this study utilize a Direct Power Control (DPC) framework to assess efficiency and performance, particularly under uncertain and rapid variations in wind speed profiles. The research aims to evaluate the effectiveness of the Incremental Conductance (INC) and adaptive Hill-Climbing Search (HCS) algorithms for MPPT in WECS under such conditions. The modeling of the WECS system utilizes a Permanent Magnet Synchronous Generator (PMSG) due to its reliability and robustness. Simulation results demonstrate the significant impact of wind speed on rotor speed and electromagnetic torque, highlighting the proportional relationship between wind speed parameters and power output. The controller performance is evaluated using INC and adaptive HCS, with the latter demonstrating superior efficiency under rapid wind speed changes. Additionally, simulation results show that the INC algorithm exhibits rapid tracking capability in approaching the peak maximum power point. Overall, this study provides valuable insights into the performance of MPPT algorithms in WECS, particularly under varying wind conditions.