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Journal of Applied Sciences
Year: 2005  |  Volume: 5  |  Issue: 10  |  Page No.: 1772 - 1776

Neural Network Pid Control of a Distributed Power Generation System Based on Renewable Energy

Jian Wang, Long-yun Kang and Bing-Gang Cao    

Abstract: This study proposed a new energy control strategy for a distributed power generation system based on renewable. A mathematical model of the system was built based on a vector-controlled induction machine driving a flywheel. The BP Neural network control method was designed in the system in order to regulate DC Bus voltage, which is the object of the system. The experimental results on a wind simulator and flywheel based system verified that proposed energy complementary control can satisfactorily regulate the power of the storage unit to store and release energy and thus to maintain a steady DC voltage from the distributed power generation system.

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