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Complex neural network approach to optimal location of facts devices for transfer capability enhancement


Article Information

Title: Complex neural network approach to optimal location of facts devices for transfer capability enhancement

Authors: D. Venu Madhava Chary, J. Amarnath

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2010

Volume: 5

Issue: 1

Language: English

Categories

Abstract

This paper concentrates on enhancement of total transfer capability incorporating FACTS devices. Repeated power flow program is used to determine the voltage constrained total transfer capability (TTC). The effect of change in reactance of the line on the transfer capability and reactive power loss is studied. In recent years Complex valued Artificial Neural Networks (ANNs) are becoming popular for solving problems involving complex data. As the transfer capability, real and reactive power loss depends on the line parameters a novel method for computing transfer capability and total real and reactive power loss is proposed in this paper using complex valued neural network.


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