Title :
Blind signal separation applied to power load profiles computation
Author :
Kruger, Frank ; Wagner, Dietmar ; Collet, Pr Pierre
Author_Institution :
LSIIT, BFO, Univ. of Strasbourg, Illkirch, France
Abstract :
Electrical distribution companies struggle to find precise energy demand for their networks. They have at their disposal statistical tools such as power load profiles, which are however usually not precise enough and do not take into account factors such as the presence of electrical heating devices or the type of housing of the end users. In this paper, we show how the determination of accurate load profiles can be considered as a noisy blind source separation problem solved by an evolutionary algorithm. The power load profiles obtained demonstrate considerable improvement in the load curve forecasts of 20kV/400V substations.
Keywords :
blind source separation; distribution networks; evolutionary computation; load forecasting; substations; blind signal separation; electrical distribution company; electrical heating devices; energy demand; evolutionary algorithm; load forecast; power load profiles computation; substations; voltage 20 kV; voltage 400 kV; Blind source separation; Evolutionary computation; Load modeling; Low voltage; Measurement uncertainty; Resistance heating; Substations; Blind source separation; evolutionary computation; load estimation; load profile;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672805
