Title :
Probability distributions of the aggregated residential load
Author :
Carpaneto, Enrico ; Chicco, Gianfranco
Author_Institution :
Dipt. di Ingegneria Elettrica, Politecnico di Torino, Turin
Abstract :
This paper deals with the characterization of the probability distributions of the aggregated residential load. A detailed statistical study has been performed on a set of data referred to single-house extra-urban customers, in order to assess the time evolution of the average value and standard deviation of the aggregated load and its possible representation with some typical probability distributions. The results have shown that the aggregated residential load data can be satisfactorily represented by using a Gamma probability distribution with parameters variable in function of time and number of customers
Keywords :
distribution networks; gamma distribution; Gamma probability distribution; aggregated residential load; distribution networks; single-house extra-urban customer; standard deviation; statistical study; Distributed power generation; Energy consumption; Home appliances; Pattern analysis; Power generation; Power systems; Probability distribution; Testing; Time measurement; Urban areas; Goodness-of-fit; Monte Carlo simulations; Probability distributions; Residential aggregated load;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
DOI :
10.1109/PMAPS.2006.360235
