Open AccessNumerical stability analysis of PMSG‐based wind energy conversion system: a simple example of drive system
Author(s) -
Ye Hua,
Tang Yanan,
Pei Wei,
Kong Li
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0472
Subject(s) - simple (philosophy) , stability (learning theory) , control theory (sociology) , computer science , wind power , engineering , electrical engineering , artificial intelligence , philosophy , control (management) , epistemology , machine learning
In a permanent magnetic synchronous generator (PMSG)‐based wind energy conversion system (WECS), numerical instability in a simulation environment may occur due to the use of a single integration method. In the WECS, for example, unreasonable numerical oscillations of the drive train with a weak damping may appear. Here, based on the two‐mass shaft model of the drive train, numerical effect of using the weight‐averaged integration method that is used to discretise the differential equation of the drive train is analysed. Through appropriate adjustments of the weighting factor and time‐step size, accurate simulation of the drive train stability can be achieved. Therefore, the consistency of the simulation performance with real WECS behaviour is guaranteed. The obtained numerical oscillatory stability facilitates the studies of the dynamics of a complete PMSG‐based WECS. A small size wind farm is employed to present efficient results by suppressing numerical oscillations on the drive train.