2015
DOI: 10.1016/j.apenergy.2015.03.139
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Layout optimization for maximizing wind farm power production using sequential convex programming

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Cited by 136 publications
(78 citation statements)
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“…To construct the wind farm power function while accounting for realistic wake effect observed, the continuous deficit factor du(d, r, a) can be expressed as [45] duðd; r; aÞ ¼ 2a…”
Section: Continuous Wake Modelmentioning
confidence: 99%
“…To construct the wind farm power function while accounting for realistic wake effect observed, the continuous deficit factor du(d, r, a) can be expressed as [45] duðd; r; aÞ ¼ 2a…”
Section: Continuous Wake Modelmentioning
confidence: 99%
“…Continuous models are typically solved using evolutionary metaheuristic algorithms [31,[34][35][36][37]32,[38][39][40] and nonlinear optimization methods [41,42]. A discrete model can be solved by using mathematical programming approaches, which have the significant advantage of providing optimality bounds [3,20,24,25,6]. …”
Section: Optimization Modelsmentioning
confidence: 99%
“…Most studies have focused on optimizing layouts on flat and uniform topography [2][3][4][5][6][7]. However, wind speeds over complex terrains are very different than they are over flat terrains, since complex flow structures can form as wind flows over various land features.…”
Section: Introductionmentioning
confidence: 99%
“…The design of wind farms as well as the exact locations of the wind turbines have to be meticulously planned to prevent power losses due to wake effects (Park & Law, 2015). Numerous technical issues arise with the close spacing of multiple wind turbines (Lissaman et al, 1982).…”
Section: Wind Turbine Arraysmentioning
confidence: 99%