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Intelligent Control based Dynamic Power Tracking for Wind Energy Conversion System Mullai K. Kavin*, Kumar R. Hari** *Assistant Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Perundurai, India **Professor, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India Online published on 23 March, 2017. Abstract The global need for electrical energy is drastically increasing and the prominent choice of green energy source which is abundant in nature and could provide security for the future development in renewable energy is essential. Among the renewable energy sources wind energy is one of the fastest growing power generation sectors. wind blows intermittent in nature so the necessary steps are carried out to supply constant power to the load. The Proposed system employs wind turbine whose output is given to the permanent magnet synchronous generator to convert mechanical energy from wind turbine to electrical energy which uses a fuzzy logic controller for controlling the torque of the generator. The torque control of the generator is done by the fuzzy controller. This output power from PMSG is rectified to dc and the rectified output is supplied to the SEPIC converter which increases or decreases the output power according to the load. The MPPT controller is used to control the duty cycle of the switch in the SEPIC converter. This system provides a constant DC power output to the load. In the proposed system hybrid algorithm which uses perturb and observe algorithm with ant colony algorithm is employed to control the duty cycle of the converter. Results are simulated using MATLAB and the prototype model of the system is developed and outputs are compared. Top Keywords Single Ended Primary Inductor Converter (SEPIC), P&O with ant colony optimization, Fuzzy logic controller. Top | |
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