STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Power Electronics and Power Systems

Modeling of Maximum Power Point Tracking Controllers for Wind Generation System using Hill Climb Searching Technique

  1. Sanjeev Kumar Kushawaha
  2. Kalpana Meena

Abstract

In this paper, based on a low-cost, small-scale application, presents a Maximum Power Point Tracking (MPPT) controller for wind generation systems (WGS). The Hill Climb Search approach served as the foundation for the development of the MPPT algorithm. To account for the inertia of wind turbines, an enhanced hill-climb searching approach has been created as a fundamental component of the max-power extraction algorithm. Under varying wind conditions, the generator can monitor the wind turbine system's ideal operating points with the help of the suggested control algorithm. Over time, the tracking process becomes more rapid. MATLAB/SIMULINK was used to assess this proposed algorithm's efficacy. The wind speed affects how much power a wind energy system can produce. Maintaining thewind turbines maximum power production under all wind speed circumstances is a difficult challenge because of its nonlinear feature.
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