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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title:	Optimal location of PMU by using hybrid combination of PSO and Cuckoo search algorithms for observability
Authors Name:	Pratheeksha R , K.M. Kavitha , Sridhar N. H , Manaswi K. J
Unique Id:	IJSDR1608042
Published In:	Volume 1 Issue 8, August-2016
Abstract:	In recent years, the placement of phasor measurement units (PMUs) in electric transmission systems has gained much attention. Engineers and mathematicians have developed a variety of algorithms to determine the best locations for PMU installation. But often these placement algorithms are not practical for real systems and do not cover the whole process. In this project particle swarm optimization and hybrid combination of particle swarm optimization and cuckoo search algorithm methods has been used to find the optimal location of PMU. Both algorithms has been tested on standard IEEE test bus system to check for complete observability. Simulink model has been developed for IEEE 9 bus system in MATLAB/SIMULINK. And also fault analysis has been done to check for observability of PMU placement
Keywords:	PMU’s, Observability rules, PSO and Cuckoo search Algorithm, Simulink model
Cite Article:	"Optimal location of PMU by using hybrid combination of PSO and Cuckoo search algorithms for observability", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 8, page no.331 - 339, August-2016, Available :http://www.ijsdr.org/papers/IJSDR1608042.pdf
Downloads:	000337068
Publication Details:	Published Paper ID: IJSDR1608042 Registration ID:160711 Published In: Volume 1 Issue 8, August-2016 DOI (Digital Object Identifier): Page No: 331 - 339 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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