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

机译:一种基于遗传算法和层级模糊控制的分布式混合风力太阳能控制系统

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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.
机译:在应用于分布式混合风力 - 太阳能电力系统的应用中,设计了一种基于遗传的自适应分层模糊控制器。通过分层控制的MIMO系统的尺寸减小。通过遗传算法对每个级模糊控制器的引用进行了优化,使控制器的引用自适应。系统在Matlab环境中的编程是实现的。与传统的等级模糊控制器相比,采用混合风力太阳能电力系统的能量管理系统。仿真结果表明,等级模糊控制器使用遗传算法具有更好的稳定性来优化参考,对分布式混合风力 - 太阳能电力系统具有良好的控制效果。

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