DocumentCode :
135038
Title :
Study of intelligent overloading in power delivery systems
Author :
Xianyong Feng ; Mousavi, Mirrasoul J.
Author_Institution :
U.S. Corp. Res. Center, ABB Inc., Raleigh, NC, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Ampacity or current rating for power apparatus is conventionally based on conservative ambient temperature assumptions neglecting the thermal inertia and diurnal load variations. While this has been a safe engineering practice in view of feeder instrumentation levels of the past, new opportunities are arising for real-time ampacity revisions due in part to proliferation of line sensors and meters. The data from sensors and smart meters can be effectively leveraged to optimize feeder loading in real time. This paper studies the overload potential for major feeder components including cables, transformers, and overhead lines. The factors impacting the rating of feeder components, such as thermal mass and ambient conditions, are analyzed and discussed.
Keywords :
distribution networks; power apparatus; power cables; power overhead lines; power transformers; smart meters; ambient conditions; cables; feeder components; intelligent overloading; line sensors; overhead lines; power apparatus; power delivery systems; smart meters; thermal mass; transformers; Conductors; Load modeling; Oil insulation; Power cables; Power transformers; Steady-state; Thermal loading; distribution system; dynamic rating; feeder overloading; thermal mass; thermal model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939089
Filename :
6939089
Link To Document :
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