Abstract
With the increased concerns about environment due to reduction in conventional energy sources, it has become very important to search for new kinds of clean and renewable energy. Wind energy system is widely preferred as a renewable energy source due to its many advantages like pollution-free generation, availability, cost, etc. The power extracted from a wind turbine depends on the velocity of wind. This wind velocity is continuously varying and is unpredictable. Therefore, an intelligent controller is essential, which tracks the maximum power irrespective of the wind velocity. This work presents particle swarm optimization-based intelligent MPPT controller for wind turbines, which increases the system efficiency. MPPT optimizes the speed of the generator for relative wind velocity such that the maximum power is extracted. PSO is used to reduce the oscillations at maximum power and to obtain a simple and efficient control for wind turbine. MATLAB-based algorithm is developed to investigate the performance of the proposed control.
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Jagwani, S., Venkatesha, L. (2019). Particle Swarm Optimization-Based MPPT Controller for Wind Turbine Systems. In: Shukla, R.K., Agrawal, J., Sharma, S., Singh Tomer, G. (eds) Data, Engineering and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-13-6351-1_25
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DOI: https://doi.org/10.1007/978-981-13-6351-1_25
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