DocumentCode :
714041
Title :
A scalable methodology to measure power distribution networks reliability
Author :
Torres, Victor H. X. ; Costa, Breno C. ; Horta, Gustavo L. ; Borges, Henrique E. ; Almeida, Paulo E. M. ; Cardoso, Rodrigo T. N.
Author_Institution :
Fac. of the Grad. Program in Math. & Comput. Modelling, Fed. Center of Technol. Educ. of Minas Gerais, Belo Horizonte, Brazil
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
63
Lastpage :
68
Abstract :
Power distribution networks are increasing, more complex and therefore should provide maximum reliability to its customers. Susceptible to interruptions, defects and malfunction for various reasons, investments in improving distribution network quality are increasing and should be performed based on environment conditions, technical requirements, demands and needs. This paper presents a new methodology to measure and evaluate distribution networks reliability degree based on historical failure data, maintenance costs and variable depreciation study. The new index developed in this effort works as an aid tool to minimize the investment in distribution network maintenance and can be used to predict the value of SAIFI indicator after systematic exchanges, since this it is a worldwide metric for assessing electric power quality and both share the same information.
Keywords :
cost reduction; maintenance engineering; power distribution reliability; power supply quality; SAIFI indicator; distribution network maintenance investment cost minimization; distribution network quality improvement; electric power quality; power distribution network reliability measurement; scalable methodology; Correlation; Indexes; Investment; Maintenance engineering; Power system reliability; Reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129161
Filename :
7129161
Link To Document :
بازگشت