This research optimises the design of a permanent magnet synchronous
generator to meet the output power needs of a small direct-drive wind turbine. Extra
care has been taken to reduce the generator's total volume to reduce expenses. The
proposed method aims to reduce the cost of PMSG by reducing its volume. In this
study, the optimal values of PMSG parameters for minimising the overall volume of
the PMSG generator while maintaining its output power at the rated value are
determined. To estimate the optimal values of design parameters, three algorithms have
been considered. Equilibrium Optimization Algorithm (EOA) as the proposed
algorithm, Gravitational Search Algorithm (GSA) as the first existing algorithm, and
Particle Swarm Optimization as the second existing algorithm. Comparing the results
of the Equilibrium Optimization algorithm (EOA) with those of the Gravitational
Search Algorithm (GSA) and the Particle Swarm Optimization algorithm (PSO) (PSO).
Simulation results demonstrate that the Equilibrium Optimization algorithm (EOA)
outperforms both the Gravitational Search Algorithm (GSA) and the Particle Swarm
Optimization algorithm (PSO). When simulated and statistical results of EOA were
compared to those of other optimization methods, it was found that EOA is more
effective and superior, resulting in the lowest volume value for wind turbine PMSG.
Keywords: Permanent magnet synchronous generator, PSO, Renewable energy, Wind power, Wind turbine.
