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2021 | OriginalPaper | Chapter

A Hybrid: Biogeography-Based Optimization-Differential Evolution Algorithm Based Transient Stability Analysis

Author : P. K. Dhal

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

A hybrid optimization technique is used to improve the stability and voltage profile in multi-machine systems. The hybrid biogeography-based optimization (BBO)-differential evolutionary (DE) algorithm application is to reduce the system loss and the voltage profile and stability increases when the devices are tuned by hybrid BBO-DE technique. It works using the eigen value based objective function to tune the parameters of the static var compensator (SVC) and power system stabilizer (PSS). In this research paper, eigen value grounded objective function is practiced to gain stability. Many optimization techniques are used to attain a solution to tune the parameters or to place the device in a better location. Here, a hybrid optimization technique is used to tune the parameters of the SVC and PSS after clearing three-phase fault.

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previous chapter Power Quality Analysis of a Distributed Generation System Using Unified Power Quality Conditioner
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Metadata
Title
A Hybrid: Biogeography-Based Optimization-Differential Evolution Algorithm Based Transient Stability Analysis
Author
P. K. Dhal
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-15-6583-0

Electronic ISBN: 978-981-15-6584-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6584-7_17