Evaluation of system reliability using seasonal and random operation techniques

A.B. Attya, Y.G. Hegazy, M.A. Mostafa

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)

Abstract

The target of any power system is to deliver stable, clean and cheap electrical power to the customer. This paper offers two independent approaches to simulate the operation of the generating units in a power network. The first methodology depends on the load variation in each season while the other one is random through a certain sequence. Using the proposed approaches a comparison between the different suggested PDF that describes the failure and repair for any component is made. The simulation is done based on Monte Carlo method through a small radial system and the IEEE 13 node test system.
LanguageEnglish
Title of host publication2008 IEEE Power and Energy Society General Meeting
Subtitle of host publicationConversion and Delivery of Electrical Energy in the 21st Century
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Print)9781424419050
DOIs
Publication statusPublished - 2008
Event 2008 IEEE Power and Energy Society General Meeting - Pittsburgh, United States
Duration: 20 Jul 200824 Jul 2008

Conference

Conference 2008 IEEE Power and Energy Society General Meeting
CountryUnited States
CityPittsburgh
Period20/07/0824/07/08

Fingerprint

Repair
Monte Carlo methods

Keywords

  • Monte Carlo methods
  • distributed power generation
  • power distribution economics
  • power distribution faults
  • power distribution reliability
  • seasonal operation
  • random operation
  • reliability indices
  • Monte Carlo simulation

Cite this

Attya, A. B., Hegazy, Y. G., & Mostafa, M. A. (2008). Evaluation of system reliability using seasonal and random operation techniques. In 2008 IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century (pp. 1-5). [4596934] Piscataway, NJ.: IEEE. https://doi.org/10.1109/PES.2008.4596934
Attya, A.B. ; Hegazy, Y.G. ; Mostafa, M.A. / Evaluation of system reliability using seasonal and random operation techniques. 2008 IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century. Piscataway, NJ. : IEEE, 2008. pp. 1-5
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Attya, AB, Hegazy, YG & Mostafa, MA 2008, Evaluation of system reliability using seasonal and random operation techniques. in 2008 IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century., 4596934, IEEE, Piscataway, NJ., pp. 1-5, 2008 IEEE Power and Energy Society General Meeting, Pittsburgh, United States, 20/07/08. https://doi.org/10.1109/PES.2008.4596934

Evaluation of system reliability using seasonal and random operation techniques. / Attya, A.B.; Hegazy, Y.G.; Mostafa, M.A.

2008 IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century. Piscataway, NJ. : IEEE, 2008. p. 1-5 4596934.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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N2 - The target of any power system is to deliver stable, clean and cheap electrical power to the customer. This paper offers two independent approaches to simulate the operation of the generating units in a power network. The first methodology depends on the load variation in each season while the other one is random through a certain sequence. Using the proposed approaches a comparison between the different suggested PDF that describes the failure and repair for any component is made. The simulation is done based on Monte Carlo method through a small radial system and the IEEE 13 node test system.

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KW - power distribution economics

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KW - power distribution reliability

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KW - random operation

KW - reliability indices

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Attya AB, Hegazy YG, Mostafa MA. Evaluation of system reliability using seasonal and random operation techniques. In 2008 IEEE Power and Energy Society General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century. Piscataway, NJ.: IEEE. 2008. p. 1-5. 4596934 https://doi.org/10.1109/PES.2008.4596934