Application of Particle Swarm Optimization for Sustainable Energy Solution in Wind Power Plant

Abstract

Sustainable Energy demand was observed over the last six decades and reported by many researchers. Few researchers also mentioned the importance of intelligent tools. The authors of this article are of the strong opinion that in a new era, intelligent tools are the only way for automation and the solution for most of the problems like sustainable energy demand. Wind energy is also identified as clean energy and profitable in case operated along with intelligent tools for maximizing its efficiency. The most popular issues in wind energy are related to the wind farm, its shape, turbine selection and maximizing energy output. This study focuses on the creation of a novel Particle Swarm Optimization (PSO) tool that optimizes the objective function of the wind farm. Developing a PSO novel tool is the key importance of this research work. Three basic shapes of the wind farms are proposed viz (i) circular shape (ii) square shape and (iii) rectangular shape for the wind farm. The circular shape is also divided into two methods as a circle method and circle in-line method for Wind Turbine Generator (WTG) placement. Dot net programming-based PSO tool is designed, which is validated by the Rosebrook function and then five case studies with a different constraints with different type of WTG is examined and verified for the sustainable energy solution in the wind farm. Tool developed with defined constrained is novel and tested for validation.