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ANN-based hybrid state estimation and enhanced visualization of power systems

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2 Author(s)
Kumar, A. ; Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India ; Chakrabarti, S.

The paper presents an artificial neural network (ANN)-based hybrid state estimator for estimating the states of a power system in the presence of conventional asynchronous as well as synchronous phasor measurements. Case studies on test systems show promising results for the ANN-based estimator. The paper also presents methodologies to enhance the visualization of the power system during the intervals between successive outputs of the conventional state estimator. The ANN-based state estimators trained with measurements from phasor measurement units (PMUs) are shown to be useful for enhancing the visualization of the power system during such intervals.

Published in:

Innovative Smart Grid Technologies - India (ISGT India), 2011 IEEE PES

Date of Conference:

1-3 Dec. 2011

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