Title :
Application of artificial intelligence technologies for monitoring large power interconnections
Author :
Kurbatsky, V.G. ; Tomin, N.V.
Author_Institution :
Dept. of Electr. Power Syst., Energy Syst. Inst., Irkutsk, Russia
Abstract :
Sophisticated operation conditions for large interconnected power systems (IPSs) need a powerful instrument to study dynamic characteristics of electric power systems (EPSs) in real time for different system states. It is a system of operating condition monitoring that enhances control efficiency of normal and emergency conditions in the current market environment. Effective organization of the system of IPS operation monitoring is possible only by a extensive involvement of new tools for the analysis and calculations of operating conditions, and first of all technologies of artificial intelligence. The paper presents an approach to the super short-term forecasting of state variables on the basis of neural network technologies and algorithms of nonlinear optimization that is realized in the ANAPRO software.
Keywords :
artificial intelligence; neural nets; optimisation; power engineering computing; power system interconnection; power system management; ANAPRO software; IPS operation monitoring; artificial intelligence technology; control efficiency enhancement; electric power systems; large interconnected power systems; large power interconnection monitoring; neural network technologies; nonlinear optimization; operating condition monitoring; state variables forecasting; Artificial neural networks; Forecasting; Monitoring; Power system dynamics; Predictive models; artificial intelligence methods; forecasting; monitoring; state variables;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583579
