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2020 | OriginalPaper | Chapter

Enhancement of Line-Based Voltage Stability of Energy System with Thyristor Controlled Series Capacitor Using Cuckoo Search Algorithm

Authors : B. Venkateswara Rao, B. Sateesh, R. Uma Maheswari, G. V. Nagesh Kumar, P. V. S. Sobhan

Published in: Innovative Product Design and Intelligent Manufacturing Systems

Publisher: Springer Singapore

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Abstract

Preserving stable conditions on encountering with small disturbances under normal or slightly overloaded conditions is termed as voltage stability. Maintaining voltage stability is one of the leading factors for energy system networks. In this paper, new line established voltage stability index entitled fast voltage stability index (FVSI) is proposed for optimal placement of Thyristor Controlled Series Capacitor (TCSC). Optimal tuning of TCSC is obtained using cuckoo search algorithm (CSA) to increase the voltage stability of the energy system established on minimization of total voltage deviation of the system. The CSA is coded in MATLAB and the performance is tested on IEEE 30 bus system with voltage deviation minimization as an objective function. TCSC is a series-connected device in the flexible alternating current transmission system (FACTS) family. It was capable of controlling the power flow through the line and also controls the line-based voltage stability. In this paper, TCSC is merged in CSA-based Power Flow to optimize the total voltage deviation. Results attained by CSA are related to that attained by genetic algorithm (GA) in both without and with TCSC conditions. These results show that CSA produces better results compared to GA for solving optimal tuning of TCSC.

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Metadata
Title
Enhancement of Line-Based Voltage Stability of Energy System with Thyristor Controlled Series Capacitor Using Cuckoo Search Algorithm
Authors
B. Venkateswara Rao
B. Sateesh
R. Uma Maheswari
G. V. Nagesh Kumar
P. V. S. Sobhan
Copyright Year
2020
Publisher
Springer Singapore
Book
Innovative Product Design and Intelligent Manufacturing Systems

Print ISBN: 978-981-15-2695-4

Electronic ISBN: 978-981-15-2696-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-2696-1_61

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