Title :
Assessment of transmission line common mode, station originated and fault types forced outage rates
Author :
Koval, D.O. ; Chowdhury, A.A.
Author_Institution :
Dept. of Electr.&Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
The frequency and duration of the various types of transmission line outages has a significant impact on the operation and reliability of industrial and commercial power systems. Knowledge of the statistical characteristics of transmission line outages (e.g., types of faults: three phase, line to ground, etc.) directly affects the protection and coordination practices at these facilities. Reliability modeling of industrial and commercial power systems is dependent upon transmission line outage characteristics (e.g., terminal-related and line-related sustained outages). Generalizations of transmission line characteristics for all voltage classes can be incorrect and extremely problematic in many cases. This paper presents the some of the results of a 10 year study of the Mid-Continent Area Power Pool (MAPP) transmission line outage data statistics for 230 kV, 345 kV and 500 kV lines. This data can be used for modeling the reliability of industrial and commercial facilities being serviced by transmission lines and reveals some of the common beliefs and misconceptions about transmission line characteristics.
Keywords :
power system faults; power system reliability; power transmission lines; MAPP; commercial power systems; fault types forced outage rates; industrial power systems; line-related sustained outages; mid-continent area power pool; reliability; terminal-related sustained outages; transmission line common mode; transmission line outage data statistics; voltage 230 kV; voltage 345 kV; voltage 500 kV; Frequency; Industrial power systems; Power markets; Power system modeling; Power system protection; Power system reliability; Power transmission lines; Statistics; Transmission lines; Voltage; Bulk transmission line; forced outages; outage statistics; reliability assessment; seasonal and causal analysis;
Conference_Titel :
Industrial & Commercial Power Systems Technical Conference - Conference Record 2009 IEEE
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-3398-8
Electronic_ISBN :
978-1-4244-3399-5
DOI :
10.1109/ICPS.2009.5463941