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Artificial Neural Network based Static Security Assessment Module using PMU Measurements for Smart Grid Application

Paramathma, Krishna M and Devaraj, D and Reddy, Subba B (2016) Artificial Neural Network based Static Security Assessment Module using PMU Measurements for Smart Grid Application. In: 1st International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS), FEB 24-26, 2016, Thanjavur, INDIA.

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Official URL: http://dx.doi.org/10.1109/ICETETS.2016.7603086

Abstract

Power system security is one of the key issues in the operation of smart grid system. Evaluation of power system security is a big challenge considering all the contingencies, due to huge computational efforts involved. Phasor measurement unit plays a vital role in real time power system monitoring and control. This paper presents static security assessment scheme for large scale inter connected power system with Phasor measurement unit using Artificial Neural Network. Voltage magnitude and phase angle are used as input variables of the ANN. The optimal location of PMU under base case and critical contingency cases are determined using Genetic algorithm. The performance of the proposed optimization model was tested with standard IEEE 30 bus system incorporating zero injection buses and successful results have been obtained.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > High Voltage Engineering (merged with EE)
Depositing User: Id for Latest eprints
Date Deposited: 07 Dec 2016 05:21
Last Modified: 07 Dec 2016 05:21
URI: http://eprints.iisc.ac.in/id/eprint/55497

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