Abstract

In the growing electricity supply industry and open access market for electricity worldwide, renewable sources are getting added into the grid system. This affects the grid power quality. To assess the impact on grid due to wind energy integration, the knowledge of electrical characteristic of wind turbine and associated control equipments are required. The paper presents a simulation set-up for wind turbine in MATLAB / SIMULINK, with front end converter and interconnected system. The presented control scheme provides the wind power flow to the grid through a converter. The injected power in the system at the point of common coupling is ensured within the power quality norms.

Highlights

  • Generation of electricity from wind is the fastest growing energy technology in the world

  • India is in the 4th rank and has a renewable energy gross potential installed of 7855 MW as on 2006.With increasing wind power production, it is important for grid owners, to predict the grid interaction of wind turbine in advance

  • In modern wind turbine system, power is exchanged with grid through a dedicated power interface so as to improve the power quality norms and it should compensate for harmonics and reactive power in the system

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Summary

Introduction

Generation of electricity from wind is the fastest growing energy technology in the world. Some grid simulation packages like power system simulator are used for power system behavioral studies. Models of new types of generating units, like wind turbine have to comply with the requirement. In modern wind turbine system, power is exchanged with grid through a dedicated power interface so as to improve the power quality norms and it should compensate for harmonics and reactive power in the system. The dynamics of the system and control action is simulated with the detail model of wind generator with front end converter system. This simulation is carried out in SIMULINK with power system block set

Model of wind turbine
Control strategy
System for simulation
Steady State Performance
Performance under dynamic behavior of the system
Conclusions
Full Text
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