Load flow analysis uncertainty treatment via fuzzy arithmetic

Load flow analysis uncertainty treatment via fuzzy arithmetic is a method which applying fuzzy arithmetic to model vagueness, ambiguity and uncertainties in power system analysis. In this study, trapezoidal method and transformation method have been employed to solve the uncertainties in load flow a...

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Main Author:	Ayub, Zatul Akmar
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/12064/6/ZatulAkmarAyubMFKE2009.pdf
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id	my-utm-ep.12064
record_format	uketd_dc
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ayub, Zatul Akmar Load flow analysis uncertainty treatment via fuzzy arithmetic
description	Load flow analysis uncertainty treatment via fuzzy arithmetic is a method which applying fuzzy arithmetic to model vagueness, ambiguity and uncertainties in power system analysis. In this study, trapezoidal method and transformation method have been employed to solve the uncertainties in load flow analysis where LR (left-right) fuzzy arithmetic have been applied to model the uncertainties and another method is by composing fuzzy numbers into intervals by using transformation method. The fuzzy load flow has been performed to get the ouput results. The simulation study is conducted for IEEE 5-bus test system and IEEE 9-bus test system using both methods. The output voltage of the fuzzy load flow has been plotted against their membership function to validate the result in terms of fuzzy distribution and to compare which method is more efficient as solution for load flow uncertainties treatment.
format	Thesis
qualification_level	Master's degree
author	Ayub, Zatul Akmar
author_facet	Ayub, Zatul Akmar
author_sort	Ayub, Zatul Akmar
title	Load flow analysis uncertainty treatment via fuzzy arithmetic
title_short	Load flow analysis uncertainty treatment via fuzzy arithmetic
title_full	Load flow analysis uncertainty treatment via fuzzy arithmetic
title_fullStr	Load flow analysis uncertainty treatment via fuzzy arithmetic
title_full_unstemmed	Load flow analysis uncertainty treatment via fuzzy arithmetic
title_sort	load flow analysis uncertainty treatment via fuzzy arithmetic
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	http://eprints.utm.my/id/eprint/12064/6/ZatulAkmarAyubMFKE2009.pdf
_version_	1747814891997102080
spelling	my-utm-ep.120642017-09-17T03:40:43Z Load flow analysis uncertainty treatment via fuzzy arithmetic 2009-11 Ayub, Zatul Akmar TK Electrical engineering. Electronics Nuclear engineering Load flow analysis uncertainty treatment via fuzzy arithmetic is a method which applying fuzzy arithmetic to model vagueness, ambiguity and uncertainties in power system analysis. In this study, trapezoidal method and transformation method have been employed to solve the uncertainties in load flow analysis where LR (left-right) fuzzy arithmetic have been applied to model the uncertainties and another method is by composing fuzzy numbers into intervals by using transformation method. The fuzzy load flow has been performed to get the ouput results. The simulation study is conducted for IEEE 5-bus test system and IEEE 9-bus test system using both methods. The output voltage of the fuzzy load flow has been plotted against their membership function to validate the result in terms of fuzzy distribution and to compare which method is more efficient as solution for load flow uncertainties treatment. 2009-11 Thesis http://eprints.utm.my/id/eprint/12064/ http://eprints.utm.my/id/eprint/12064/6/ZatulAkmarAyubMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering 1. P K Satpathy, D Das and P B Dutta Gupta (2004). Power Flow Analysis Using Fuzzy Set Approach. IE. 85, 55-59 2. C Tranchita, N. Hadjsaid, A Torres (2006). Using Fuzzy Arithmetic for Power Flow Analysis with Uncertainty. IREE, 1(3), 339-350 3. Hadi Saadat. Power System Analysis. (Second ed.) 4. R. De Caluwe, N. Van Gyseghem, V. Cross. Basic Notions and Rationale of The Integration of Uncertainty Management and Object-oriented Databases. In Ronald R Yager (1997). Fuzzy and Uncertain Object-Oriented Databases, Concept and Model (pp. 1-20). World Scientific 5. Jose Galindo, Angelica Urrutia, and Mario Piattini (2006). Fuzzy Databases Modeling, Design and Implementation. Idea Group 6. James T. ?P and Timothy Yao. Uncertainties in Structural Control. In Bilal M Ayyub, Ardeshir Guran and Achintya Haldar (1997). Uncertainty Modelling in Vibration, Control and Fuzzy Analysis of Structural Systems (pp. 167-178) World Scientific 7. M A Pai. Computer Technique in Power System Analysis, Tata McGraw-Hill 8. Bilal bin Ayyub. Philosophical and Theoritical Bases for Analyzing and Modeling Uncertainty and Ignorance. In Nii O. Attoh-Okine, Bilal bin Ayyub (2005). Applied Research in Uncertainty Modeling and Analysis (pp.1-18) Springer 9. P K Satpathy, D Das and P B Dutta Gupta(2004). Static Voltage Stability Analysis using Fuzzy Set Approach. IE 85, 49-54 10. Aleksandar Dimitrovski and Kevin Tomsovic, ?Uncertainty in load flow Modeling: Application of Boundary Load Flow? 11. Bansilal, D. Thukaram, K. Harish Kashyap, ?Artificial Neural Network Application to Power System Voltage Stability Improvement?, Dept. of EE, The National Institute of Engineering, Mysore, Dept of EE, Indian Institute of Science, Bangalore 12. John J.Grainger,William D. Stevenson,Jr , ? Power System Analysis?, McGraw Hill International Editions 13. Kothari . Nagrat, ? Power System Engineering?, Second Edition, Tata McGraw Hill 14. L.V. BARBOZA, G.P. DIMURO, R.H.S. REISER, Power Flow With Load Uncertainty Mat. Apl. Comput., 5, No. 1 (2004), 2736, Universidade Cat´olica de Pelotas, 96010000 Pelotas, RS, Brazil. 2 15. F. Milano, Continuous Newton?s Method for Power Flow Analysis, IEEE Transaction, August 2008. 16. C Tranchita, N. Hadjsaid, A Torres (2006). Using Fuzzy Arithmetic for Power Flow Analysis with Uncertainty. IREE, 1(3), 339-350 17. R. De Caluwe, N. Van Gyseghem, V. Cross. Basic Notions and Rationale of The Integration of Uncertainty Management and Object-Oriented Databases. In Ronald R Yager (1997). Fuzzy and Uncertain Object-Oriented Databases, Concept and Model (pp. 1-20). World Scientific 18. Transformation Based Interpolation with Generalized Representative Values 19. M. Hanss. The transformation method for the simulation and analysis of systems with uncertain parameters. Fuzzy Sets and Systems, 30(3):277{289, 2002.

Load flow analysis uncertainty treatment via fuzzy arithmetic

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