China Ocean Eng., 2018, Vol. 32, No. 3, P. 358–364 DOI: https://doi.org/10.1007/s13344-018-0037-6, ISSN 0890-5487 http://www.chinaoceanengin.cn/ E-mail:
[email protected] Tidal Turbine Array Optimization Based on the Discrete Particle Swarm Algorithm WU Guo-weia, WU Hea, *, WANG Xiao-yonga, ZHOU Qing-weia, LIU Xiao-manb aNational Ocean Technology Center, Tianjin 300112, China bSatellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China Received May 18, 2017; revised February 11, 2018; accepted March 23, 2018 ©2018 Chinese Ocean Engineering Society and Springer-Verlag GmbH Germany, part of Springer Nature Abstract In consideration of the resource wasted by unreasonable layout scheme of tidal current turbines, which would influence the ratio of cost and power output, particle swarm optimization algorithm is introduced and improved in the paper. In order to solve the problem of optimal array of tidal turbines, the discrete particle swarm optimization (DPSO) algorithm has been performed by re-defining the updating strategies of particles’ velocity and position. This paper analyzes the optimization problem of micrositing of tidal current turbines by adjusting each turbine’s position, where the maximum value of total electric power is obtained at the maximum speed in the flood tide and ebb tide. Firstly, the best installed turbine number is generated by maximizing the output energy in the given tidal farm by the Farm/Flux and empirical method. Secondly, considering the wake effect, the reasonable distance between turbines, and the tidal velocities influencing factors in the tidal farm, Jensen wake model and elliptic distribution model are selected for the turbines’ total generating capacity calculation at the maximum speed in the flood tide and ebb tide.