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Computational techniques for assessing the reliability and sustainability of electrical power systems: a review

Power systems employ measures of reliability indices to indicate the effectiveness a power system to perform its basic function of supplying electrical energy to its consumers. The amount of energy required in a generating system to ensure an adequate supply of electricity is determined using analyt...

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Main Authors: Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Aris, Ishak, Jasni, Jasronita, Abdalla, Ahmed N.
Format: Article
Language:English
Published: Elsevier 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61196/1/Computational%20techniques%20for%20assessing%20the%20reliability%20and%20sustainability%20of%20electrical%20power%20systems%20a%20review.pdf
http://psasir.upm.edu.my/id/eprint/61196/
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spelling my.upm.eprints.611962018-09-12T04:46:12Z http://psasir.upm.edu.my/id/eprint/61196/ Computational techniques for assessing the reliability and sustainability of electrical power systems: a review Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Aris, Ishak Jasni, Jasronita Abdalla, Ahmed N. Power systems employ measures of reliability indices to indicate the effectiveness a power system to perform its basic function of supplying electrical energy to its consumers. The amount of energy required in a generating system to ensure an adequate supply of electricity is determined using analytical and simulation techniques. This study focuses on reviewing the generation reliability assessment methods of power systems using Monte Carlo simulation (MCS) and variance reduction techniques (VRTs). MCS is a very flexible method for reliability assessment of the power systems, by the sequential process it can imitate the random nature of the system components and can be broadly classified into two, sequential and non-sequential simulations. A brief introduction to MCS is provided. Unlike analytical methods, MCS can be used to quantitatively estimate the system reliability in even the most complex system generating capacity situations. The major drawback of the MCS is that it requires more computational time to reach for converging with estimated the values of reliability indices. This paper presents an effective methods for accelerating MCS in power system reliability assessment. VRT used is to manipulate the way each sample of an MCS is defined in order to both preserve the randomness of the method and decrease the variance of the estimation. In addition, the study presents detailed descriptions of generation reliability assessment methods, in order to provide computationally efficient and precise methodologies based on the pattern simulation technique. These methodologies offer significantly improved computational ability during evaluations of power generation reliability. Elsevier 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61196/1/Computational%20techniques%20for%20assessing%20the%20reliability%20and%20sustainability%20of%20electrical%20power%20systems%20a%20review.pdf Kadhem, Athraa Ali and Abdul Wahab, Noor Izzri and Aris, Ishak and Jasni, Jasronita and Abdalla, Ahmed N. (2017) Computational techniques for assessing the reliability and sustainability of electrical power systems: a review. Renewable and Sustainable Energy Reviews, 80. pp. 1175-1186. ISSN 1364-0321; ESSN: 1879-0690 10.1016/j.rser.2017.05.276
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Power systems employ measures of reliability indices to indicate the effectiveness a power system to perform its basic function of supplying electrical energy to its consumers. The amount of energy required in a generating system to ensure an adequate supply of electricity is determined using analytical and simulation techniques. This study focuses on reviewing the generation reliability assessment methods of power systems using Monte Carlo simulation (MCS) and variance reduction techniques (VRTs). MCS is a very flexible method for reliability assessment of the power systems, by the sequential process it can imitate the random nature of the system components and can be broadly classified into two, sequential and non-sequential simulations. A brief introduction to MCS is provided. Unlike analytical methods, MCS can be used to quantitatively estimate the system reliability in even the most complex system generating capacity situations. The major drawback of the MCS is that it requires more computational time to reach for converging with estimated the values of reliability indices. This paper presents an effective methods for accelerating MCS in power system reliability assessment. VRT used is to manipulate the way each sample of an MCS is defined in order to both preserve the randomness of the method and decrease the variance of the estimation. In addition, the study presents detailed descriptions of generation reliability assessment methods, in order to provide computationally efficient and precise methodologies based on the pattern simulation technique. These methodologies offer significantly improved computational ability during evaluations of power generation reliability.
format Article
author Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
spellingShingle Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
author_facet Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
author_sort Kadhem, Athraa Ali
title Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
title_short Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
title_full Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
title_fullStr Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
title_full_unstemmed Computational techniques for assessing the reliability and sustainability of electrical power systems: a review
title_sort computational techniques for assessing the reliability and sustainability of electrical power systems: a review
publisher Elsevier
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/61196/1/Computational%20techniques%20for%20assessing%20the%20reliability%20and%20sustainability%20of%20electrical%20power%20systems%20a%20review.pdf
http://psasir.upm.edu.my/id/eprint/61196/
_version_ 1643837525580578816
score 13.211869

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