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

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

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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.

Item Type:	Article
Uncontrolled Keywords:	FTDN, Neural network, Voltage Stability
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	27 Sep 2016 00:28
Last Modified:	11 Sep 2021 19:17
URI:	http://eprints.utem.edu.my/id/eprint/17211
Statistic Details:	View Download Statistic

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