2022Unpublished venueRequires access

Monte Carlo Simulation for Reliability Worth Assessment of Distribution System Considering Momentary Interruptions

Md. Tanjil Ahmed, Md. Rezuwan Hassan, Palash Chandra Ghosh, M. S. Huq, Mohaimenul Islam, A. S. Nazmul Huda

Open publisher page 3 citations

Abstract

This paper deals with the reliability worth assessment of electric power distribution system considering momentary interruptions. Reliability worth study quantifies the interrupted energy and also monetary losses incurred by utility customers due to electric power failures. Sequential Monte Carlo (MC) simulation technique is applied for the assessment purpose. The advantage of using MC simulation over the analytical approach is that uncertainty of associated random variables can be taken into consideration in MC simulation. Case studies are conducted on the Roy Billinton Test System connected to bus 4 distribution system. The results of MC simulation technique are complementary to those calculated by the analytical method.

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What this paper is about

This paper deals with the reliability worth assessment of electric power distribution system considering momentary interruptions. Reliability worth study quantifies the interrupted energy and also monetary losses incurred by utility customers due to electric power failures. Sequential Monte Carlo (MC) simulation technique is applied for the assessment purpose. The advantage of using MC simulation over the analytical approach is that uncertainty of associated random variables can be taken into consideration in MC simulation. Case studies are conducted on the Roy Billinton Test System connected to bus 4 distribution system. The results of MC simulation technique are complementary to those calculated by the analytical method.

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Available abstract

This paper deals with the reliability worth assessment of electric power distribution system considering momentary interruptions. Reliability worth study quantifies the interrupted energy and also monetary losses incurred by utility customers due to electric power failures. Sequential Monte Carlo (MC) simulation technique is applied for the assessment purpose. The advantage of using MC simulation over the analytical approach is that uncertainty of associated random variables can be taken into consideration in MC simulation. Case studies are conducted on the Roy Billinton Test System connected to bus 4 distribution system. The results of MC simulation technique are complementary to those calculated by the analytical method.

Key concepts: Monte Carlo method, Reliability (semiconductor), Reliability engineering, Computer science, Electric power system, Power (physics), Random variable, Power system simulation

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