基于改进差分进化算法的潮流发电机组微观选址

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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.

Key words： Tidal power micrositing differential evolution algorithm adaptive tide simulation

Received: 28 April 2015 Published: 24 August 2016

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TM612

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	Wang Congjiao
	Wang Xihuai
	Chen Guochu
	Chen Jianmin
	Chen Jing

Cite this article:

Wang Congjiao,Wang Xihuai,Chen Guochu等. Tidal Current Turbines Micrositing Based on Improved Differential Evolution Algorithm[J]. Transactions of China Electrotechnical Society, 2016, 31(15): 99-108.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I15/99

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