Wind energy is a renewable source of vital importance and is constantly growing. In this scenario, it is imperative to carry out studies through mathematical models. However, the mathematical representation becomes excessively complex when considering the number of wind turbines present in a wind farm. This paper proposes the estimation of parameters in a wind farm equivalent model using two different approaches. The first method is responsible for performing a global search over a wide interval, thus providing an intelligent initial parameter. The values estimated by this first method are then used in the second method, which will be responsible for performing the final estimation. Simulation results show that the combination of the two methods was adequate to obtain the parameters of the wind farm equivalent model. https://doi.org/10.53316/cbgd2023.007