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Fast Initial State Assessment for State Estimator using Optimally Located Phasor Measurement Units

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 50 - Number 17
Year of Publication: 2012
Authors:
M. T. L. Gayatri
A. V. R. S. Sarma
Chandragiri Radha Charan
10.5120/7864-1131

M T L.gayatri, A V R S Sarma and Chandragiri Radha Charan. Article: Fast Initial State Assessment for State Estimator using Optimally Located Phasor Measurement Units. International Journal of Computer Applications 50(17):24-28, July 2012. Full text available. BibTeX

@article{key:article,
	author = {M. T. L.gayatri and A. V. R. S. Sarma and Chandragiri Radha Charan},
	title = {Article: Fast Initial State Assessment for State Estimator using Optimally Located Phasor Measurement Units},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {50},
	number = {17},
	pages = {24-28},
	month = {July},
	note = {Full text available}
}

Abstract

Complex power systems need better observability and visualization capabilities to handle critical situations effectively. Synchro-phasor measurements provide intra second visibility to power system dynamics and enable faster control actions. A Phasor Measurement Unit (PMU) measures the voltage and current phasors (angle and magnitude) at a bus in a power system. In the literature, many methods have been reported for determining a measurement set for the allocation of PMU's. Most of these methods use conventional optimization techniques involving more mathematical equations, which are generally time–consuming from a computation point of view, especially for large systems under emergency conditions. The operator has to take instantaneous measurements for the quick state estimation. In this paper a simplified approach has been proposed for placing the measuring devices (PMU's) which involves graph theoretical approach only . A linear algorithm is used to minimize the number of PMUs to monitor the entire system by modeling the system with topological observation theory. A relationship was developed between phasors where PMU's are located and unknown phasors of the system. The results can be used as initial assessment for the state estimator. The algorithm was tested on IEEE-14 Bus System.

References

  • K. A Clements, "Observability Methods and Optimal Meter Placement", Electrical Power and Energy Systems, Vol 12, No. 2, April 1990.
  • G. . R. Krumpholz et al, "Power System Observability: A Practical Algorithm Using Network Topology", IEEE Trans. on PAS, Vol. 99, No. 4, July/August 1980.
  • K. A. Clements et al. , "Power System State Estimation Residual Analysis: An Algorithm Using Network Topology", IEEE Trans. on PAS, Vol. 100, No. 4, April 1981.
  • K. A. Clements et al, "Power System State Estimation with measurement Deficienvy: An Observability / Measurement Placement Algorithm", IEEE Trans. on PAS, Vol. 102, No. 7, July 1983
  • R. Tarjan, "Depth-First Search and Linear Graph Algorithms", SIAM Journal of Computers, Vol. 1, No. 2, June 1972.
  • T. L. Baldwin, "Power System Observability with Minimal Phasor Measurement Placement", IEEE Trans. in Power System, Vol. 8, No. 2, May 1993.
  • T. W. Haynes et al, "Domination in Graphs Applied to Electric Power Networks", SIAM Journal of Discrete Math. , vol. 15, No. 4, 2002.
  • B. Mohammadi-Ivatloo, "Optimal Placement of PMUs for Power System Observability Using Topology Based Formulated Algorithms", Journal of Applied Sciences, vol. 9, Issue 13, pp. 2463-2468, 2009
  • Xingchen A. Yuan, "A Linear Algorithm for Minimum Phasor Measurement Units Placement",IEEE Tran. on Power System,2010.
  • IEEE Work Group, "Synchronized Sampling and Phasor Measurements for relaying and Control", IEEE Trans. on Power Delivery, vol. 9, no. 1, January 1994, pp. 442-449.
  • S. Chakrabarti, E. kyriades, M. Albu "Uncertainity in power system state variables obtained through synchronized measurements" IEEE transactions on Instrumentations and Measurement,Vol. 58 No. 8,Aug 2009,pp. 2452-2458.