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This paper focuses on the evaluation of a fully decentralized power control aimed to provide an additional source of flexibility to distribution system operators in order to manage low voltage distribution grids. In particular, the proposed approach provides short term power reserve, current and losses reduction, managing residential power demand by regulating the supplying voltages locally, close...
In this paper, a decentralized voltage control service for the distribution system operator (DSO) is proposed and a comparison with a centralized strategy, such as the conservation voltage control (CVR) technique is presented. The service is designed to provide short term power reserve to the grid and it implements a local voltage-led demand response. The proposed service manages residential units'...
In this paper an efficient method for detection of inrush current in distribution transformer based on wavelet transform is presented. This method uses Wavelet Transform (WT) and Probabilistic Neural Network (PNN) to discriminate inrush current from other transients such as capacitor switching, load switching and single phase to ground fault. WT is used for decomposition of signals and PNN for classification...
This paper presents S-Transform based Competitive Neural Network (CNN) classifier for recognition of inrush current. Using this method inrush current can be discriminate from other transients such as capacitor switching, load switching and single phase to ground fault. S-transform is used for feature extraction and CNN is used for classification. Inrush current data and other transients are obtained...
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