Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/38077
Title: Operational optimization of a stand-alone hybrid renewable energy generation system based on an improved genetic algorithm
Authors: Zeng, J
Li, M
Liu, JF
Wu, J
Ngan, HW 
Keywords: Hybrid rE generation system
Improved genetic algorithm
Operational optimization
Optimal control
Issue Date: 2010
Source: 2010 IEEE Power & Energy Society General Meeting, PES '10, Minneapols, Minnesota, USA, 25-29 July 2010, p. 1-6 How to cite?
Abstract: In a hybrid renewable energy power generation system, optimization and control is a challenging task because the behaviors of the system are becoming unpredictable and more complex. After the system is built, optimization and control of its operation is important for utilizing the renewable energy efficiently and economically. In the paper, an improved genetic algorithm is developed for achieving the optimization of the hybrid RE system by considering its operation during its life-time. The proposed algorithm is validated by performing a scenario simulation and the results show that the improved genetic algorithm has better convergence speed or accuracy than those of the standard genetic algorithm.
URI: http://hdl.handle.net/10397/38077
ISBN: 978-1-4244-6549-1
978-1-4244-8357-0 (E-ISBN)
DOI: 10.1109/PES.2010.5589885
Appears in Collections:Conference Paper

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