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A distributed hybrid wind-solar power control system based on genetic algorithm and hierarchical fuzzy control

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4 Author(s)
Wang Bo ; Coll. of Electr. Power Coll., South China Univ. of Technol., Guangzhou, China ; Wu Jie ; Yang Jinming ; Zhao Shiwei

In application to the distributed hybrid wind-solar power system, a genetic-based self-adaptive hierarchical fuzzy controller is designed. The dimensions of MIMO system by hierarchical control are reduced. Optimized on line the references of each level fuzzy controller by genetic algorithm made the controller's references self-adapted. The system's programming in Matlab environment is realized. Taking the energy management system of the hybrid wind-solar power system as an example, compared with the conventional hierarchical fuzzy controller. Simulation results show that the hierarchical fuzzy controller has a better stability using genetic algorithm to optimize the references, and has a good control effect for the distributed hybrid wind-solar power system.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004