Wind Energy Conversion Systems are the most striking renewable energy resources available to generate the electricity. Doubly-fed Induction Generator (DFIG) based wind turbine with variable speed is the most common wind turbine in the growing wind market. In any WECS, power flow must be maintained at all instant irrespective of any fault in the system. This paper deals with fault tolerant contr...

This paper proposes a new method for online estimation of the induction generator parameters by means of adaptive neuro-fuzzy inference systems (ANFIS). The suggested technique can be applied to induction generators that are used in wind energy conversion systems (WECS). The WECS structure comprises a wind turbine, a three-phase induction generator and two back-to-back power converters. The WEC...

ABSTRACT: The wind turbine generator is operated such that the rotor speed varies according to wind speed to adjust the duty cycle of power converter and maximizes wind energy conversion system efficiency. The rotating speed of permanent-magnet generator should be adjusted in the real time to capture maximum wind power. This paper proposes a quite simple maximum power point tracking control sch...

Abstract The power generation of wind energy conversion system (WECS) is varied with wind speed. Although wind power generation is not dispatch able, an accurate forecasting method of wind power generation for WECS can help the power system operator to reduce operating costs of power system. The artificial neural network is one of the best tools applied to forecast. This paper uses the back pro...

Wavelet transform is proposed in this paper for detection of islanding and fault disturbances distributed generation (DG) based power system. An IEEE 14-bus system with DG penetration is considered for the detection of disturbances under different operating conditions. The power system is a hybrid combination of photovoltaic, and wind energy system connected to different buses with different le...

Debnath, Suman Ph.D., Purdue University, May 2015. Control of Modular Multilevel Converters for Grid Integration of Full-scale Wind Energy Conversion Systems. Major Professors: Maryam Saeedifard and Steve D. Pekarek. The growing demand for wind power generation has pushed the capacity of wind turbines towards MW power levels. Higher capacity of the wind turbines necessitates operation of the ge...