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Journal of Applied Sciences
  Year: 2005 | Volume: 5 | Issue: 10 | Page No.: 1772-1776
DOI: 10.3923/jas.2005.1772.1776
 
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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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How to cite this article:

Jian Wang, Long-yun Kang and Bing-Gang Cao , 2005. Neural Network Pid Control of a Distributed Power Generation System Based on Renewable Energy. Journal of Applied Sciences, 5: 1772-1776.

DOI: 10.3923/jas.2005.1772.1776

URL: https://scialert.net/abstract/?doi=jas.2005.1772.1776

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