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Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission

This paper investigates the use of use of Dynamic Neural Network (DNN) to extensively identify limitation of active power flow on the main transmission line for Malaysia Electric Power System (MEPS) network with PV generators provision. Conceptually, DNN is superior to Static Neural Network (SNN)...

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Main Authors: Norhafiz, Salim, Takao, Tsuji, Tsutomu, Oyama, Kenko, Uchida
Format: Article
Language:English
Published: Institute Of Electrical And Electronics Engineers Inc. (IEEE) 2016
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/17211/1/Interface%20Flow%20Limit%20Identification%20Using%20Focused%20Time%20Delay%20Network%20For%20MEPS%20Transmission.pdf
http://eprints.utem.edu.my/id/eprint/17211/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7387176
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spelling my.utem.eprints.172112021-09-11T19:17:00Z http://eprints.utem.edu.my/id/eprint/17211/ Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission Norhafiz, Salim Takao, Tsuji Tsutomu, Oyama Kenko, Uchida T Technology (General) This paper investigates the use of use of Dynamic Neural Network (DNN) to extensively identify limitation of active power flow on the main transmission line for Malaysia Electric Power System (MEPS) network with PV generators provision. Conceptually, DNN is superior to Static Neural Network (SNN) in whatever errands are propounded from simple to complex systems. Compared to the conventional method using Continuous Power Flow (CPF) hereby with dynamical of neural network expedited identification of secure limitation on the network at given occasion. Namely, a Focused Time Delay Network (FTDN) which categorized as dynamic network model is developed in this study to specify the limit of active power flow over the network. Further, load variations e.g. low and high peak demand whilst considering N-1 criterion is deployed correspondingly. The simulations results are obtained using MATLAB software to identify MEPS network for inter area power transactions capability successfully presented and discussed thoroughly. Institute Of Electrical And Electronics Engineers Inc. (IEEE) 2016 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17211/1/Interface%20Flow%20Limit%20Identification%20Using%20Focused%20Time%20Delay%20Network%20For%20MEPS%20Transmission.pdf Norhafiz, Salim and Takao, Tsuji and Tsutomu, Oyama and Kenko, Uchida (2016) Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission. Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative. pp. 1-6. ISSN 978-150901238-1 http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7387176 10.1109/ISGT-Asia.2015.7387176
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Norhafiz, Salim
Takao, Tsuji
Tsutomu, Oyama
Kenko, Uchida
Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
description This paper investigates the use of use of Dynamic Neural Network (DNN) to extensively identify limitation of active power flow on the main transmission line for Malaysia Electric Power System (MEPS) network with PV generators provision. Conceptually, DNN is superior to Static Neural Network (SNN) in whatever errands are propounded from simple to complex systems. Compared to the conventional method using Continuous Power Flow (CPF) hereby with dynamical of neural network expedited identification of secure limitation on the network at given occasion. Namely, a Focused Time Delay Network (FTDN) which categorized as dynamic network model is developed in this study to specify the limit of active power flow over the network. Further, load variations e.g. low and high peak demand whilst considering N-1 criterion is deployed correspondingly. The simulations results are obtained using MATLAB software to identify MEPS network for inter area power transactions capability successfully presented and discussed thoroughly.
format Article
author Norhafiz, Salim
Takao, Tsuji
Tsutomu, Oyama
Kenko, Uchida
author_facet Norhafiz, Salim
Takao, Tsuji
Tsutomu, Oyama
Kenko, Uchida
author_sort Norhafiz, Salim
title Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
title_short Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
title_full Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
title_fullStr Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
title_full_unstemmed Interface Flow Limit Identification Using Focused Time Delay Network For MEPS Transmission
title_sort interface flow limit identification using focused time delay network for meps transmission
publisher Institute Of Electrical And Electronics Engineers Inc. (IEEE)
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/17211/1/Interface%20Flow%20Limit%20Identification%20Using%20Focused%20Time%20Delay%20Network%20For%20MEPS%20Transmission.pdf
http://eprints.utem.edu.my/id/eprint/17211/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7387176
_version_ 1712288907651973120
score 13.211869

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