Best Assignment of PMU for Power System Observability

International Journal of Mechanical Engineering

© 2016 by SSRG - IJME Journal

Volume 3 Issue 12

Year of Publication : 2016

Authors : Y.Moses kagan, O.I. Sharip

10.14445/23488360/IJME-V3I12P104

How to Cite?

Y.Moses kagan, O.I. Sharip, "Best Assignment of PMU for Power System Observability," SSRG International Journal of Mechanical Engineering, vol. 3,  no. 12, pp. 10-14, 2016. Crossref, https://doi.org/10.14445/23488360/IJME-V3I12P104

Abstract:

Phasor Measurement Unit (PMU) is a comparatively new knowledge that, when engaged in power networks, offers real-time corresponding measurements of the voltages at buses and currents all along the lines that unite them. This is proficient by using a GPS based monitoring scheme which facilitate time management of measurements and dissimilar SCADA, makes the calculated data accessible in Real-Time arrangement. SCADA is not capable to supply Real-time data due to the low speeds at which RTUs (Remote Terminal Units) supply data. Accessibility of time-stamped phasor measurements makes PMUs preferable for power system monitoring and organizes applications such as State assessment, Insecurity Prediction investigation, Real time monitoring of the system circumstances, Islanding uncovering, System Restoration and Bad Data discovery. Since PMUs are luxurious, their procurement and equipment needs to be planned both in terms of economy and usefulness. Frequently utilities like to see that the power network becomes completely apparent with minimum number of PMUs placed at calculated buses. Where full Observability refers to all the buses in the network is energetically monitored. Thus the difficulty of optimal placement of PMUs is formulated as an optimization problem where the number of PMUs is minimized theme to complete system Observability. This paper solves the optimal assignment of PMUs for power system Observability using Integer Linear Programming (ILP) method. The technique is tested on IEEE 14 Bus arrangement.

Keywords:

Integer Linear Programming, Phasor Measurement Units, Power System Observability.

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