z-logo
open-access-imgOpen Access
Analysis of Overhead Transmission Line Parameters with Uncertainty
Author(s) -
Yoseph Mekonnen Abebea,
P. Mallikarjuna Rao,
M. Gopichand Naik
Publication year - 2017
Publication title -
international journal of engineering and manufacturing
Language(s) - English
Resource type - Journals
eISSN - 2306-5982
pISSN - 2305-3631
DOI - 10.5815/ijem.2017.05.02
Subject(s) - overhead (engineering) , electric power transmission , overhead line , transmission line , monte carlo method , conductor , tension (geology) , probabilistic logic , mathematics , control theory (sociology) , engineering , computer science , statistics , electrical engineering , physics , geometry , thermodynamics , compression (physics) , control (management) , artificial intelligence
Overhead Transmissions Lines (OTL) are outdoor systems, which can easily be affected by weather fluctuation. In the worst-case scenario, temperature variation, horizontal wind and vertical ice-loading make the value of sag, tension and conductor (cable) length to vary between low to high extremes. The temperature and cable length variations have an effect on the resistance of the OTL. This variation leads to a variable voltage drop, which is mostly considered with load variation. In order to calculate resultant loading, sag, tension, cable length and resistances of an OTL, an uncertainty model based on Standard Affine Arithmetic (SAA) is proposed and the result is compared with the probabilistic Monte Carlo (MC) and Interval Arithmetic (IA) approaches. Based on the test results, the SAA based algorithm gives slightly conservative bound than the IA and MC approaches.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom