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Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability
Author(s) -
Mahapatra Sheila,
Jha A.N.,
Panigrahi B.K.
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.1211
Subject(s) - thyristor , upgrade , sizing , control theory (sociology) , static var compensator , series (stratigraphy) , voltage , integrated gate commutated thyristor , stability (learning theory) , computer science , engineering , ac power , electrical engineering , control (management) , chemistry , artificial intelligence , operating system , paleontology , organic chemistry , machine learning , biology
In this study, a hybrid technique is employed for ameliorating the voltage stability of test system with thyristor controlled series compensator (TCSC) installation. Improved gravitational search algorithm is used to first set the optimal location of TCSC to generate optimal power flow solution under normal and contingency condition while firefly algorithm is utilised to improve voltage stability and TCSC cost sizing, respectively. The proposed technique is implemented in MATLAB working platform and the power flow security and voltage stability is evaluated with IEEE 6, 14 and 30 bus transmission systems. The optimal TCSC placement is governed by new proposed index of apparent power flow index. The performance of the proposed method is deduced to be superior when results are compared with traditional gravitational search algorithm (GSA) and other hybrid methods of fuzzy‐GSA and radial basis function neural network techniques.

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