Design and Economic Analyses of Wind Farm Using Meta-heuristic Techniques

Abstract

The application of the conventional non-linear methods to obtain an optimized power output for a wind farm using small scale wind turbines may lead to production of local maxima or local minima. Thus, an optimized solution has a restricted space as far as applied constraints are concerned. There can be a wide variation in the applied constraints based on site-specific parameters variations. In this paper, the Meta-Heuristic approaches (MHA) are implemented with suitable constraints and accordingly derived equations are compared. In these approaches, it is possible to generate a random sample space, which is not affected by local maxima or minima as in non-linear methods. The three methods of MHA, namely (a) Crow search, (b) Harmony search, and (c) Gravitational search have been compared in this paper. The comparison shows that an optimized power output and cost are obtained. Further, it is concluded that GSA provides and optimal and feasible solution for design of small scale wind turbine being used in wind farm. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.