Interface flow limit identification using focused time delay network for MEPS transmission

N. B. Salim; Takao Tsuji; Tsutomu Oyama; Kenko Uchida

doi:10.1109/ISGT-Asia.2015.7387176

Interface flow limit identification using focused time delay network for MEPS transmission

N. B. Salim, Takao Tsuji, Tsutomu Oyama, Kenko Uchida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781509012381
DOIs	https://doi.org/10.1109/ISGT-Asia.2015.7387176
Publication status	Published - 2016 Jan 19
Event	IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015 - Bangkok, Thailand Duration: 2015 Nov 3 → 2015 Nov 6

Other

Other	IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015
Country/Territory	Thailand
City	Bangkok
Period	15/11/3 → 15/11/6

Keywords

FTDN
Neural network
Voltage Stability

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering

Access to Document

10.1109/ISGT-Asia.2015.7387176

Cite this

Interface flow limit identification using focused time delay network for MEPS transmission. / Salim, N. B.; Tsuji, Takao; Oyama, Tsutomu et al.

Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7387176.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Salim, NB, Tsuji, T, Oyama, T & Uchida, K 2016, Interface flow limit identification using focused time delay network for MEPS transmission. in Proceedings of the 2015 IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015., 7387176, Institute of Electrical and Electronics Engineers Inc., IEEE Innovative Smart Grid Technologies - Asia, ISGT ASIA 2015, Bangkok, Thailand, 15/11/3. https://doi.org/10.1109/ISGT-Asia.2015.7387176

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title = "Interface flow limit identification using focused time delay network for MEPS transmission",

abstract = "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.",

keywords = "FTDN, Neural network, Voltage Stability",

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AU - Salim, N. B.

AU - Tsuji, Takao

AU - Oyama, Tsutomu

AU - Uchida, Kenko

PY - 2016/1/19

Y1 - 2016/1/19

N2 - 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.

AB - 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.

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KW - Voltage Stability

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ER -

Interface flow limit identification using focused time delay network for MEPS transmission

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Keywords

ASJC Scopus subject areas

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