Optimised cost of wind energy using MRWT

Abstract

In this paper, an effort has been made to compare the cost of energy of different configurations of multi-rotor wind turbines (MRWT). Three different optimisation techniques, i.e., genetic algorithm (GA), particle swarm optimisation (PSO) and pigeon inspired optimisation (PIO) have been employed to find out the most suitable rotor configuration for the minimum cost of wind power generation. Power, energy and cost models as proposed are used to determine the annual energy yield and economics of multi-rotor turbines. Simulation results using three optimisation algorithms give the same rotor configuration for minimum cost of energy.