DocumentCode :
754936
Title :
Reliability assessment of autonomous power systems incorporating HVDC interconnection links
Author :
Dialynas, E.N. ; Koskolos, N.C. ; Agoris, D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
11
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
519
Lastpage :
525
Abstract :
The objective of this paper is to present an improved computational method for the overall reliability assessment of autonomous power systems that may or may not contain HVDC interconnection links. This is a hybrid method based on a Monte-Carlo simulation sequential approach which incorporates an analytical approach for the reliability modeling of the HVDC transmission links. The developed models and techniques have been implemented into a computer program that can be used to simulate the operational practices and characteristics of the overall power system under study efficiently and realistically. A set of reliability indices are calculated for each load-point of interest and the entire power system while a set of additional indices is calculated for quantifying the reliability performance of the interconnection links under the specified operating requirements. The analysis of a practical power system is also included for a number of studies representing its various operating and design characteristics
Keywords :
HVDC power transmission; Monte Carlo methods; power system analysis computing; power system reliability; HVDC interconnection links; Monte-Carlo simulation; autonomous power systems; computer program; computer simulation; load-point; operational characteristics; operational practices; reliability assessment; reliability indices; sequential approach; Computational modeling; Control systems; Frequency; HVDC transmission; Hybrid power systems; Power system analysis computing; Power system interconnection; Power system modeling; Power system reliability; Power system simulation;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.484137
Filename :
484137
Link To Document :
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