A Singular Voltage Stability Indices Approach to Spot Out Weedy Bus Under Contingency Environment
DOI:
https://doi.org/10.25212/lfu.qzj.5.3.38Keywords:
Compound Index; FACTS; Synthesis Severity Index; voltage stabilityAbstract
Voltage stability estimation is one of the foremost parameter in monitoring the power system stability. Various voltage stability indices had been developed by researcher for voltage stability assessment. These indices were executed for spotting the pathetic
transmission lines/buses. Here forth the placement and sizing of FACTS devices to trigger countermeasures against voltage instability/blackouts. In this paper two voltage stability indices were proposed called Synthesis Severity Index (SSI) and Compound Index (CI).These indices had been implemented on IEEE 14 and 30 bus system under generator and line contingencies. The
resulted were presented and discussed.
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References
Siddiqui A. and Tanmoy Deb (2014), ‘Improved gravitational search algorithm for loadability enhancement of transmission lines using UPFC’, International Journal of System Assurance Engineering and Management, Vol 5(3), pp 444-449.
.Preethi, V. A., S. Muralidharan, and S. Rajasekar. "Application of genetic algorithm to power system voltage stability enhancement using facts devices." Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International
Conference on. IEEE, 2011.
.Gitizadeh, M., and M. Kalantar. "A new approach for congestion management via optimal location of FACTS devices in deregulated power systems." Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third
International Conference on. IEEE, 2008.
S.Jayachitra and G.Baskar (2018), “Application of mutation inspired constrained factor PSO considering voltage stability and losses by locating and rating TCSC during N-1 contingency”, International Journal of Reasoning based Intelligent system, Vol. 10, Nos.
/4, 2018, pp 174-182
Kianersi H. and Hamid A. (2015), ‘Voltage Stability Improvement By Using FACTS Elements With Economic Consideration’, Ciencia e Natura, pp 162-167.
Malathy P. and Shunmugalatha A. (2016), ‘Loadability analysis during single contingency with FACTS devices using Differential Evolution’, Proceedings of 2016 IEEE 6th International Conference on Power Systems (ICPS), pp 1-6.
Sutha S. and Kamaraj N. (2008), ‘Optimal location of multi type facts devices for multiple contingencies using particle swarm optimization’, International Journal of Electrical and Computer, Vol.2(10) pp 2275-2281
Dahej A., Esmaeili S. and Goroohi A. (2012), ‘Optimal allocation of SVC and TCSC for improving voltage stability and reducing power system losses using hybrid binary genetic algorithm and particle swarm optimization’, Canadian Journal on Electrical and
Electronics Engineering, Vol 3(3), pp 100-107
Jayachitra S (2018), “Bio Inspired Mutation based CFPSO to Optimize Size and Location of FACTS Device Under Generator Contingency”, Eurasian Journal of Analytical Chemistry, Vol.13 No. 6b(2018), pp 23-37.
Balamurali G. and Thanushkodi K. (2011), ‘Novel selection factors based optimal placement of TCSC controller in power transmission system for contingencies using PSO’, Proceeding in IET International Conference on Sustainable Energy and Intelligent Systems
(SEISCON 2011), PP. 352 – 357
Balamurali.G, “Optimal Placement of TCSC & UPFC Controllers In Grid System Using Multiple Indices”, Ph.d thesis,2015.
. S.Jayachitra and G.Baskar (2018), “Application of mutation inspired constrained factor PSO considering voltage stability and losses by locating and rating TCSC during N1 contingency”, International Journal of Reasoning based Intelligent system, Vol. 10, Nos.
/4, 2018, pp 174-182
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