DocumentCode :
435392
Title :
Management of available power in substation transformers based on reliability
Author :
Jardini, José A. ; Brittes, José L P ; Magrini, Luiz C. ; Yasuoka, Jorge ; Kayano, Paula S.D. ; De Camargo, Josué ; Schmidt, Hemán P.
Author_Institution :
Sao Paulo Univ., Brazil
fYear :
2004
fDate :
8-11 Nov. 2004
Firstpage :
869
Lastpage :
873
Abstract :
This work presents a methodology for estimating the maximum power that can be extracted from distribution substation transformers based on (i) estimated values of future load, (ii) current temperature values measured at various locations within the transformer, and (iii) transformer reliability requirements. The final goal of the methodology is to provide a sensible means of controlling transformer overloads, especially at peak times during the daily load curve. The methodology has been implemented as a software tool running on computers in the Distribution System Control Center. The software makes use of real-time data acquired directly from the local loading control subsystem installed in two major distribution substations within the CPFL (Companhia Paulistra de Forca e Luz) system.
Keywords :
load forecasting; load regulation; neural nets; power distribution control; power distribution reliability; power transformers; substation automation; temperature measurement; transformer substations; distribution substation; load curve; load forecasting; loading control subsystem; neural networks; software tool; substation automation; temperature measurement; transformer overloading; transformer reliability; Control systems; Current measurement; Energy management; Power measurement; Power system reliability; Substations; Temperature distribution; Temperature measurement; Temperature sensors; Transformers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America, 2004 IEEE/PES
Print_ISBN :
0-7803-8775-9
Type :
conf
DOI :
10.1109/TDC.2004.1432496
Filename :
1432496
Link To Document :
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