Optimal Control of Active and Reactive Powers in Wind Energy Conversion Systems Using Particle Swarm Optimization and Adaptive Sliding Mode Control
The strong nonlinearities present in wind energy conversion systems (WECSs) increase the complexity of the control algorithms and they require parameters optimization to reach the desired performances. Since parameters optimization is difficult with exact methods, the success of these controllers highly depends on the designer skills and experience. This paper shows how to overcome limitations of exact methods and avoid empirical parameters tuning by using new paradigm inspired by nature. A new adaptive sliding mode controller (ASMC) is presented with variable sliding surface optimized by PSO which is a popular algorithm among nature-inspired approaches. This new controller is used for active and reactive powers flow control in the most popular WECS topology based on Doubly-Fed Induction Generator (DFIG). Chattering amplitude is reduced by more than half, response time is significantly improved and robustness against parameters variations is also enhanced by up to 50%, compared to unoptimized ASMC. The proposed control strategy is approved by simulation using Matlab/Simulink software.
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