Title :
Smart system of monitoring and forecasting for electric power systems
Author :
Kurbatsky, Victor G. ; Tomin, Nikita V.
Author_Institution :
Dept. of Electr. Power Syst., Energy Syst. Inst., Irkutsk, Russia
fDate :
Oct. 30 2012-Nov. 2 2012
Abstract :
Conventional monitoring systems do not address the increasing complexity of electric power systems (EPSs). Bringing together the strengths of artificial intelligence technologies, special software and Wide Area Monitoring System/Phasor measurement unit (WAMS/(PMU) technologies it provides a holistic, intelligent approach to the monitoring of complex EPSs for the detection of emerging patterns. This approach to intelligent monitoring provides advantages when looking for trends or patterns or emergent behavior from data collected from different sensors on complex processes. In this paper the authors presents the smart system of monitoring and forecasting for EPSs with using these technologies. The experimental studies have demonstrated the performance of the proposed intelligent methods and approaches of this smart system.
Keywords :
load forecasting; phase measurement; power system measurement; EPS; WAMS/PMU technologies; artificial intelligence; electric power systems; forecasting; intelligent methods; monitoring; phasor measurement unit; smart system; wide area monitoring; Educational institutions; Forecasting; Indexes; Lead; Monitoring; Phasor measurement units; Smart grids; Smart Grid; artificial intelligence; forecasting; intelligent monitoring; power system; state variables;
Conference_Titel :
Power System Technology (POWERCON), 2012 IEEE International Conference on
Conference_Location :
Auckland
Print_ISBN :
978-1-4673-2868-5
DOI :
10.1109/PowerCon.2012.6401289