2009 International Conference on Power Systems 2009
DOI: 10.1109/icpws.2009.5442652
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Multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller

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Cited by 14 publications
(5 citation statements)
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“…They executed simulations upon IEEE 14bus and 30-bus test system. Farangfar et al [15] used, the UPFC injection model and investigated its effect on load flow and loss reduction in power systems. In this study, the Newton-Raphson algorithm is modified to consider the benefits of having a UPFC in the power system.…”
Section: Recent Research Work: a Brief Reviewmentioning
confidence: 99%
“…They executed simulations upon IEEE 14bus and 30-bus test system. Farangfar et al [15] used, the UPFC injection model and investigated its effect on load flow and loss reduction in power systems. In this study, the Newton-Raphson algorithm is modified to consider the benefits of having a UPFC in the power system.…”
Section: Recent Research Work: a Brief Reviewmentioning
confidence: 99%
“…Using Fuzzy logic and Real Coded Genetic Algorithm, an approach for appointment and sizing of shunt FACTS controller has been suggested by A.R. Phadke et al [15]. A blurry presentation index based on distance to encumber node bifurcation, voltage profile and capacity of shunt FACTS controller is suggested.…”
Section: Recent Research Work: a Brief Reviewmentioning
confidence: 99%
“…A Multi-objective Fuzzy (MOF) has been combined with the GA in order to find a optimal location and size of shunt FACTS controllers. The objective is to increase the distance to saddle node bifurcation and improve bus voltage profile [28]. The hybrid algorithm that combines the TS and the SA approach has been implemented to get the optimal location for multiple FACTS devices [29].…”
Section: Optimal Placement Of Facts Devices -A Reviewmentioning
confidence: 99%