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Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm

The standard deviation of load level uncertainty in power system reliability assessment has a different value for each load level leading to complexity iterations required in the convergence of Monte Carlo algorithm. In this present work, the fuzzy system agent perspective would be used to control...

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Main Authors:	Shalash, Nadheer A., Abu Zaharin, Ahmad
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/5804/4/Agents_for_fuzzy_indices_of_reliability_power_system_with_uncertainty_using_Monte_Carlo_algorithm.pdf http://umpir.ump.edu.my/id/eprint/5804/ http://dx.doi.org/10.1109/PEOCO.2014.6814436
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id	my.ump.umpir.5804
record_format	eprints
spelling	my.ump.umpir.58042018-02-02T02:11:30Z http://umpir.ump.edu.my/id/eprint/5804/ Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm Shalash, Nadheer A. Abu Zaharin, Ahmad TK Electrical engineering. Electronics Nuclear engineering The standard deviation of load level uncertainty in power system reliability assessment has a different value for each load level leading to complexity iterations required in the convergence of Monte Carlo algorithm. In this present work, the fuzzy system agent perspective would be used to control such convergence. Two agents are developed based on fuzzy parameters of Monte Carlo i.e. current with its means and variances; the other agent is the probability of outage capacity for each state. These agents shall be applied in terms of the loss of load probability (LOLP) and loss of load expectation (LOLE) which when implemented and compared based on a Malaysian distribution network (DISCO-Net). The obtained outcomes showed that the fuzzy parameters of Monte Carlo provided a better limitation for variance techniques in uncertainty load levels. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5804/4/Agents_for_fuzzy_indices_of_reliability_power_system_with_uncertainty_using_Monte_Carlo_algorithm.pdf Shalash, Nadheer A. and Abu Zaharin, Ahmad (2014) Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm. In: IEEE 8th International Power Engineering and Optimization Conference (PEOCO 2014), 24-25 March 2014 , Langkawi. pp. 258-264.. http://dx.doi.org/10.1109/PEOCO.2014.6814436
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Shalash, Nadheer A. Abu Zaharin, Ahmad Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
description	The standard deviation of load level uncertainty in power system reliability assessment has a different value for each load level leading to complexity iterations required in the convergence of Monte Carlo algorithm. In this present work, the fuzzy system agent perspective would be used to control such convergence. Two agents are developed based on fuzzy parameters of Monte Carlo i.e. current with its means and variances; the other agent is the probability of outage capacity for each state. These agents shall be applied in terms of the loss of load probability (LOLP) and loss of load expectation (LOLE) which when implemented and compared based on a Malaysian distribution network (DISCO-Net). The obtained outcomes showed that the fuzzy parameters of Monte Carlo provided a better limitation for variance techniques in uncertainty load levels.
format	Conference or Workshop Item
author	Shalash, Nadheer A. Abu Zaharin, Ahmad
author_facet	Shalash, Nadheer A. Abu Zaharin, Ahmad
author_sort	Shalash, Nadheer A.
title	Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
title_short	Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
title_full	Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
title_fullStr	Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
title_full_unstemmed	Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm
title_sort	agents for fuzzy indices of reliability power system with uncertainty using monte carlo algorithm
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/5804/4/Agents_for_fuzzy_indices_of_reliability_power_system_with_uncertainty_using_Monte_Carlo_algorithm.pdf http://umpir.ump.edu.my/id/eprint/5804/ http://dx.doi.org/10.1109/PEOCO.2014.6814436
_version_	1643665252360912896
score	13.211869

Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm

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