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, Noor Izzri, Abdul Wahab, Ishak, Aris, Jasronita, Jasni, A. N., Abdalla
Format:	Article
Language:	English
Published:	Elsevier 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/1/ftech-2017-abdalla-Computational%20techniques%20for%20assessing1.pdf

id	oai:umpir.ump.edu.my:18524
recordtype	eprints
spelling	oai:umpir.ump.edu.my:185242017-09-14T03:16:23Z http://umpir.ump.edu.my/id/eprint/18524/ Computational Techniques for Assessing the Reliability and Sustainability of Electrical Power Systems: A Review Kadhem, Athraa Ali Noor Izzri, Abdul Wahab Ishak, Aris Jasronita, Jasni A. N., Abdalla TK Electrical engineering. Electronics Nuclear engineering 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 application/pdf en http://umpir.ump.edu.my/id/eprint/18524/1/ftech-2017-abdalla-Computational%20techniques%20for%20assessing1.pdf Kadhem, Athraa Ali and Noor Izzri, Abdul Wahab and Ishak, Aris and Jasronita, Jasni and A. N., Abdalla (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 https://doi.org/10.1016/j.rser.2017.05.276 doi: 10.1016/j.rser.2017.05.276
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Kadhem, Athraa Ali Noor Izzri, Abdul Wahab Ishak, Aris Jasronita, Jasni A. N., Abdalla Computational Techniques for Assessing the Reliability and Sustainability of Electrical Power Systems: A Review
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 Noor Izzri, Abdul Wahab Ishak, Aris Jasronita, Jasni A. N., Abdalla
author_facet	Kadhem, Athraa Ali Noor Izzri, Abdul Wahab Ishak, Aris Jasronita, Jasni A. N., Abdalla
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://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/ http://umpir.ump.edu.my/id/eprint/18524/1/ftech-2017-abdalla-Computational%20techniques%20for%20assessing1.pdf
first_indexed	2018-09-07T02:27:12Z
last_indexed	2018-09-07T02:27:12Z
_version_	1610913921384841216

Computational Techniques for Assessing the Reliability and Sustainability of Electrical Power Systems: A Review

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