Abstract
Voltage stability analysis is very important for predicting the potential voltage instability. Load modelling plays a key role in voltage stability assessment. In this paper, several kinds of neural networks are applied for load modelling. Loading patterns are classified through Kohonen self-organization mapping. Furthermore, this paper presents the strategies to insert the neural network load model into static and dynamic voltage stability analysis. The proposed methods are tested either on the IEEE 14-bus system or real data.
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