• N.A. Prashanth
• Dr. P. Sujatha

The wind turbine generators employed in modern wind power plants should have the characteristics such as high efficiency, power density and reliability, low weight and volume. Among different generators, permanent magnet synchronous generator adequately satisfied these requirements. In this paper permanent magnet synchronous generator has been designed to meet the desired output power for direct driven small scale wind turbine. Design care has also been taken to minimize the overall volume of generator to reduce the cost. A minimization optimization with constraint has been proposed to model the problem. Particle swarm optimization and Differential evolution algorithms have been considered separately as methods to estimate the optimal values of design parameters. In this comparative study we evaluate the performance of Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms in design optimization of PMSG for minimizing volume and at the same time maintain the generated power at the rated level.

"Volume minimization in small scale wind turbine PMSG using Dynamic PSO and DE algorithms ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.562-569, May-2019, Available :http://www.jetir.org/papers/JETIR1905J83.pdf

"Volume minimization in small scale wind turbine PMSG using Dynamic PSO and DE algorithms ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp562-569, May-2019, Available at : http://www.jetir.org/papers/JETIR1905J83.pdf