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Due to renewable energy sources (RES) variable nature and their wide integration into power systems, setting an adequate operating power reserve is important to compensate unpredictable imbalance between generation and consumption. However, this power reserve should be ideally minimized to reduce system cost with a satisfying security level. Although many forecasting methodologies have been developed...
This paper addresses the quantification of power reserve through uncertainty analysis of a microgrid operating with wind generation. The considered uncertainty came from the wind and load forecasting. The assessment has been done one day ahead and for the next 24 hours. Several Artificial Neural Networks (ANNs) have been designed in order to assess the wind and load uncertainty of prediction. Then,...
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