DocumentCode :
3009413
Title :
Optimum power flow control based on power apparatus diagnosis by Intelligent Grid Management System (IGMS)
Author :
Hanai, Masahiro ; Shinoda, Kazuma ; Wakaiki, K. ; Kojima, H. ; Hayakawa, Naoki ; Okubo, Hisanori
Author_Institution :
EcoTopia Sci. Inst., Nagoya Univ., Nagoya, Japan
fYear :
2012
fDate :
23-27 Sept. 2012
Firstpage :
561
Lastpage :
564
Abstract :
Transmission and distribution (T&D) system comprises a lot of aged apparatus, which may cause the decrease of the reliability owing to their deterioration. In order to maintain the high efficiency and high quality of T&D system, the authors have proposed “Intelligent Grid Management System (IGMS)”, which provides the optimum maintenance strategy and optimum power flow control. IGMS evaluates all of the events occurring in the T&D system as the cost. IGMS optimizes the power flow routes based on the failure risk, T&D loss, overload operation, life estimation of power apparatus, customer outage and so on. The impact of individual apparatus failure affects a whole T&D system performance such as blackout and secondary failure. The failure risk is also evaluated as cost by the product of the impact of the individual failure and the failure rate estimated by the condition monitoring diagnosis results of power apparatus. In this paper, the optimum power flow control based on the real-time diagnosis results of power apparatus is discussed.
Keywords :
condition monitoring; failure analysis; load flow control; maintenance engineering; power grids; power system management; power system reliability; IGMS; T&D loss; T&D system; apparatus failure; condition monitoring diagnosis; failure rate; failure risk; intelligent grid management system; life estimation; optimum maintenance strategy; optimum power flow control; power apparatus diagnosis; power flow routes; real-time diagnosis; reliability; transmission and distribution system; Circuit breakers; Load flow; Load flow control; Maintenance engineering; Power system reliability; Reliability; asset management; diagnosis; maintenance; power flow control; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1019-2
Type :
conf
DOI :
10.1109/CMD.2012.6416205
Filename :
6416205
Link To Document :
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