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access icon free Optimisation of wind farm layout in complex terrain via mixed-installation of different types of turbines

  • Author(s): Xiaoyu Tang 1, 2 ; Qinmin Yang 1 ; Keyou Wang 3 ; Bernhard Stoevesandt 2 ; Youxian Sun 1
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  • Source: Volume 12, Issue 9, 09 July 2018, p. 1065 – 1073
    DOI:  10.1049/iet-rpg.2017.0787 , Print ISSN 1752-1416, Online ISSN 1752-1424
© The Institution of Engineering and Technology
Received 24/11/2017, Accepted 15/04/2018, Revised 15/03/2018, Published 17/04/2018

As wind energy is increasingly exploited worldwide, optimisation of wind farm layout becomes more crucial. To guarantee the economic efficiency and profit of a wind farm, the deployment of wind turbines has to be optimised before operation. Traditional methods usually assume that identical type of wind turbines are utilised in a layout design. In this study, multiple types of turbines are considered in wind farm layout optimisation in complex terrain, namely mixed-installation. By utilising different power generation characteristics, hub heights and rotor diameters, and cost models of different types of turbines, the efficiency of a wind farm can be further improved. A single-objective optimisation problem is firstly established by modelling all aforementioned factors, and the objective is to achieve a minimum cost per unit of energy. Subsequently, after using computational fluid dynamics to simulate the wind flow over complex terrain, a genetic algorithm-particle swarm optimisation optimisation algorithm is then proposed to determine the position and type of every individual turbine simultaneously. Eventually, extensive simulation studies are present to verify the feasibility of this scheme.

Inspec keywords: genetic algorithms; wind power plants; computational fluid dynamics; power generation economics; wind turbines; rotors; profitability; particle swarm optimisation

Other keywords: rotor diameters; mixed-installation; wind turbines; cost models; hub heights; complex terrain; genetic algorithm-particle swarm optimisation optimisation algorithm; computational fluid dynamics; power generation characteristics; wind farm layout optimization; wind flow; single-objective optimisation problem; wind farm profitability; economic efficiency; layout design

Subjects: Optimisation techniques; Wind power plants; Power system management, operation and economics

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