Title :
An alternative use of power quality information - Load signature studies & applications
Author :
Cheng, John W M ; Ng, Simon K K ; Liang, Jian ; Zhong, Jin
Author_Institution :
CLP Holdings Ltd., Hong Kong, China
Abstract :
Electrical appliances have distinct consumption patterns of which can be interpreted as signatures and used for various applications. Based on traditional power quality monitoring techniques, coupled with optimization algorithms and innovative pattern recognition methods and stochastic simulation tools, we are going to demonstrate in this paper how we defined different load signatures systematically, structured a disaggregation framework to identify and track individual appliances, assembled different Monte-Carlo simulators for testing purposes and proposed some innovative applications such as smart metering and equipment health monitoring using different load signatures.
Keywords :
Monte Carlo methods; domestic appliances; optimisation; pattern recognition; power supply quality; power system measurement; stochastic processes; Monte-Carlo simulators; electrical appliances; equipment health monitoring; innovative pattern recognition methods; load signature study; optimization algorithms; power quality information; power quality monitoring techniques; smart metering; stochastic simulation tools; Accuracy; Artificial neural networks; Electric potential; Heating; Monitoring; Testing; Visualization; Load signature; equipment health monitoring; load disaggregation; power quality; smart metering; visualization tool;
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-1944-7
DOI :
10.1109/ICHQP.2012.6381297