Fine Tuning Of State Estimator Using Phasor Values From Pmu's

Authors

  • Prayaga Kavya  PG scholar, Department of EEE, Acharya Institute of Technology, Bangalore, India
  • R S Shivakumara Aradhya  Professor, Department of EEE, Acharya Institute of Technology, Bangalore, India

Keywords:

PMU, EMS, State estimator, linear estimator, SRPG System

Abstract

State estimation is a key function of the Energy Management System (EMS), providing a reliable and consistent data, by processing the information obtained from telemetering or remote units. Traditional power system state estimators are subject to considerable changes because of the extensive application of Phasor Measurement Unit (PMU). The availability of synchro-phasor data has raised the possibility of a linear state estimator if the inputs are only complex currents and voltages and if there are enough such measurements to meet observability and redundancy requirements. The unique ability to calculate synchronized phasors at high precision makes the phasor measurement unit (PMU) an important measuring device to improve the accuracy of state estimation. In this paper, the linear model of state estimation is proposed to show the important contribution of PMU measurements to the power system state estimation. The effectiveness of the proposed state estimation algorithm is validated using standard IEEE 14 bus test system and real time 637 bus southern grid network of Indian power system.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prayaga Kavya, R S Shivakumara Aradhya, " Fine Tuning Of State Estimator Using Phasor Values From Pmu's, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.1051-1057, May-June-2018.