Abstract

In order to generate the electricity from the wind turbine system with a permanent magnet synchronous generator (PMSG) to the three-phase grid connected system, it is very challenging because the electricity generated from wind energy resource is inconstancy. In this paper, the electrical power between the two systems are regulated by PI controller. For tuning the gains of PI controller, artificial intelligent methods, particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial neural networks (ANN), are applied. The experiments of the control systems are testing at 200 w and 400 w. The experimental results show that the rise time of an electrical power of control system at 200 w tuning gains of the PI controller by ANN combined with PSO is better than the traditional tuning methods, pole placement. Therefore, the proposed intelligent system can not only reduce the overshoot of the active power but also improve the response power.

Highlights

  • In the present, the world economy has been rapidly developed

  • In transmitting the electric power between wind turbine to the grid system of provincial electricity authority (PEA) of Thailand, the voltage transformation from three-phase to two-phase are based on P-Q theory

  • The power flow of wind turbine system to threephase grid connected system is tested at 200 w and 400 w

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Summary

Introduction

The world economy has been rapidly developed. The business, industry, and service have been continuously growing. The natural energy, friendly to the environment is the reform replaced. Since, it is renewable and clean energy [1,2]. One of the natural resources are wind, clean, green, and sustainable energy, derived from the temperature difference. A wind energy is applied to produce electricity generated from the conversion of kinetic energy to mechanical energy. Despite the fact that the wind energy in Thailand is inconsistent in each season due to the difference of the temperature, pressure, and centrifugal force of the earth's rotation.

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