An ANN Control of Maximum Power Point Tracking for Grid Connected Wind Machines

S. Sundeep; G. Madhusudhana Rao; B. V. Sanker Ram

doi:10.15866/ireaco.v7i1.1293

An ANN Control of Maximum Power Point Tracking for Grid Connected Wind Machines

S. Sundeep^(1*), G. Madhusudhana Rao⁽²⁾, B. V. Sanker Ram⁽³⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/ireaco.v7i1.1293

Abstract

This research work investigates about the wind energy conversion system will receive the extensive attention among the various renewable energy systems. The extraction of the maximum possible power available wind energy is an important area of research among the speed sensorless MPPT control of wind area. This paper presents a power point tracking (MPPT) Technique for high performance wind turbine with induction machines based on expert systems (Artificial Neural Networks). In this paper, an ANN has been trained in off-line to learn about wind turbine characteristics of the torque with the wind speed and the speed of the machine which will be deployed in online for measuring the speed of the wind and torque. The reference speed of the machine is then calculated based on the control of the signal power feedback (PSF). Voltage oriented control of the machine is further integrated with an expert sensorless technique. The proposed method was simulated and conformed on the actual circuit in online
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Keywords

Wind Generation; MPPT; Voltage Control; Computer Simulation; Wind Energy Conversion Systems; Incremental Conductance

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