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Power Source Planning of Wind-PV-Biogas Renewable Energy Distributed Generation System

MA Yiwei,YANG Ping,GUO Hongxia,WU Jie(School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong Province,China)  
To effectively improve the reliability and economy of distributed generation system(DGS) composed of renewable energy resources such as wind energy,solar energy and biogas energy,firstly the features of generation systems based on wind energy,solar energy and biogas energy respectively as well as the structural feature of generation system mixed with wind,solar and biogas energy resources were researched and analyzed,on this basis mathematical models of optimized objective functions of DGS composed of renewable energy resources and their constraint conditions were built.Secondly,due to the adoption of the selection operator,the improved adaptive crossover operator and the mutation operator in the elitist strategy of the improved adaptive genetic algorithm(AGA),to achieve better global search ability and stronger robustness,the improved AGA was utilized to optimize the expansion generation planning for distributed DGS.Finally,taking a load center with load amount of 300kW in Guangdong region,China as experimental platform,the simulation for the optimization and solution of a generation expansion planning of a distributed DGS composed of wind farm,PV generation and biogas generation were performed to determine the optimum configuration of power resources.The effectiveness and effectiveness of the proposed method were verified by simulation results that could be available for reference to the expansion generation planning for DGS composed of other types of renewable energy resources.
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