Wind Turbine Power Curve Fitting Using Mountain Gazelle Optimizer and Parametric Functions

Wind energy represents a substantial renewable resource with its vast potential for electricity generation. In wind energy systems, power curve fitting is an important requirement not only for the performance assessment of wind turbines but also for the design, management and maintenance of wind farms. In this paper, mountain gazelle optimizer-based modified hyperbolic tangent, 7
^th
-degree polynomial and 6
^th
-degree polynomial functions are employed for fitting the empirical power curve data. As a result of the accuracy comparisons made, the most correct fitting is achieved by mountain gazelle optimizer-based modified hyperbolic tangent function, while the most erroneous one is produced by mountain gazelle optimizer-based 7
^th
-degree polynomial function.