Abstract
The design of a Wind/PV/Diesel/Battery hybrid power generation system is complex because of the randomness of renewable energy resources, load demand uncertainty and the non-linear characteristics. So the design problem for hybrid power generation system cannot be solved easily by classical optimization methods. In this paper, a Genetic Algorithm (GA) is employed to optimize a wind/PV/Diesel/Battery hybrid system. Using the meteorological data with pollution emissions as constraint condition, the target of optimization is the lowest running cost and the high reliability of system. The results showed that the proposed algorithm could have decision variables as the type and size of wind turbines, the type and the capacity of photovoltaic cells as well as the capacity of the batteries.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
