Abstract
Energy Losses Estimation in Low Voltage Smart Grids by using Loss Maps
Highlights
The estimation and the calculation of power losses in Low Voltage (LV) distribution systems is a process that has not been solved in an efficient way
A clustering approach is adopted by applying Linear Discriminant Analysis (LDA) to obtain a generalized loss map applicable to the losses estimation of any feeder
To deliver a generalized loss map, a topology builder heuristic algorithm is formulated to obtain a comprehensive feeder training set based on the characteristics that exhibit a large LV distribution area
Summary
The estimation and the calculation of power losses in Low Voltage (LV) distribution systems is a process that has not been solved in an efficient way. New approaches for the estimation of losses have to be considered that do not depend heavily on the precision of the measurement systems. Extensive efforts have been developed in the scientific literature about estimation of losses in distribution networks. A clustering procedure for power losses estimation is proposed where the LV grid’s feeders are clustered according to the maximum power they feed. A clustering approach is adopted by applying Linear Discriminant Analysis (LDA) to obtain a generalized loss map applicable to the losses estimation of any feeder. To deliver a generalized loss map, a topology builder heuristic algorithm is formulated to obtain a comprehensive feeder training set based on the characteristics that exhibit a large LV distribution area
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