Modeling and Parameter Estimation of a Small Wind Generation System

En este artículo se presentan el modelado y la estimación de parámetros de un sistema de generación eólico de baja potencia. El sistema está conformado por: una turbina eólica, un generador de imanes permanentes, un rectificador trifásico y una carga eléctrica de corriente directa. Para estimar los parámetros se utilizan datos de velocidad de viento registrados con una estación meteorológica ubicada en el Campus Fraternidad del ITM. Los datos de velocidad de viento fueron aplicados a un modelo de referencia programado en el software PSIM y de esta simulación se registraron las variables para estimar los parámetros. El modelo del sistema de generación en conjunto con los parámetros estimados constituye una excelente representación del modelo detallado, ofreciendo mayor flexibilidad que el modelo utilizado en el software PSIM.The modeling and parameter estimation of a small wind generation system is presented in this paper. The system consists of a wind turbine, a permanent magnet synchronous generator, a three phase rectifier, and a direct current load. In order to estimate the parameters wind speed data are registered in a weather station located in the Fraternidad Campus at ITM. Wind speed data were applied to a reference model programed with PSIM software. From that simulation, variables were registered to estimate the parameters. The wind generation system model together with the estimated parameters is an excellent representation of the detailed model, but the estimated model offers a higher flexibility than the programed model in PSIM software

Representation and estimation of the power coefficient in wind energy conversion systems

This paper aims at summarizing various methods used for representing and estimating the power coefficient in wind turbines, such as exponential, sinusoidal and polynomial models, as well as mathematical tools known as state observers. We present an exhaustive bibliographic review of the models used to calculate the power coefficient, given that this type of studies are scarce nowadays. In addition, we propose models that can be satisfactorily used for various analyzes of wind energy conversion systems, such as the representation by a polynomial function of fourth degree and the models based on the stochastic probability function. The relevance of this work is supported by the advantages and disadvantages of the various models and estimators of the power coefficient, which are presented at the end of the article in a comparative table with the purpose of offering to the reader a general summary. Ultimately, this review aims at helping researchers, students, university professors and those who wish to venture into this field, even though they do not have much experience, to establish a quick synthesized understanding of the different models and representations of the power coefficient