This paper presents a methodology for the implementation of new EMS tools aiming to assist, in real time, transmission system operators to avoid dynamic security problems, after short-circuits that may lead to large wind power losses. In order to overcome high computational efforts, that are required by conventional dynamic simulation tools, the proposed methodology was developed using automatic learning techni...
This paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to pr...
This paper presents the performed steps to design an Artificial Neural Network (ANN) tool, able to evaluate, within the framework of on-line security assessment, the dynamic security of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Linear Regression (LR) variable selection stepwise method to perform auto...
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