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