Design and analysis of artificial bee-colony-based MPPT algorithm for DFIG-based wind energy conversion systems |
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Authors: | Dipesh Kumar Kalyan Chatterjee |
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Affiliation: | Department of Electrical Engineering, IIT (ISM) Dhanbad, Dhanbad, India |
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Abstract: | In this article, the proposed maximum power point tracking (MPPT) method is designed by taking rotor speed as an optimization problem, which is solved by artificial bee colony (ABC) algorithm to generate the maximum power output. The main advantage of this algorithm is that its optimal solution is independent of the initial positions and requirement of lesser number of control parameters, which leads to simple and robust MPPT algorithm than other algorithm. Furthermore, the hill climb search and particle swarm optimization-based MPPT algorithm are also discussed and the results obtained by these are compared to verify the effectiveness of proposed algorithm. Simulations for MPPT control along with doubly fed induction-generator-based wind energy conversion system is carried out in MATLAB/Simulink environment. Three statistical methods are used to evaluate the accuracy of each MPPT algorithm. All results are analyzed and compared under randomly selected wind as well as real wind speed configuration. Comparison of both numerical and simulation results under two different varying wind speed conditions strongly suggest that the proposed ABC-based MPPT algorithm is superior than other two MPPT algorithms. |
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Keywords: | Artificial bee colony doubly fed induction generator hill climb search maximum power point tracking particle swarm optimization wind energy conversion system |
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