Tidal Current Turbines Micrositing Based on Improved Differential Evolution Algorithm
Wang Congjiao1,2, Wang Xihuai1, Chen Guochu2, Chen Jianmin3, Chen Jing1
1.Logistics Engineering College Shanghai Maritime University Shanghai 201306 China 2.Department of Electrical Engineering Shanghai Dianji University Shanghai 200240 China 3.School of Petroleum Engineering China University of Petroleum Qingdao 266580 China
Abstract：A micrositing method based on differential evolution algorithm combined with flow field simulation model is proposedfor solving the problems that tidal generator layout depends on experience without optimization technology.This method firstly employsthe finite element simulation to obtain the original flow velocity distribution.Then a mathematical model based on the simulation results is built in full consideration of topography,tide,and wake effect.The objective function is the maximization of the whole tidal turbines’ power outputand the free variables are the turbines’ coordinates which are subject to the minimum distance conditions and the depth conditions.In order to solve this model,an improved differential evolution algorithmis proposed,in whichthe adaptive mutation operator and parameters increase the global search ability.The micrositing of tidal turbines is performed on the Guishan waterway.Then the optimized results demonstrate the accurateness of the proposed model and the effectiveness of the solving algorithm.
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2016, Vol. 31 
