Application of modified covariance algorithm in state estimation

Document Type : Original Article

Authors

1 Electrical and Electronics Engineering Department University Technology PETRONAS, 31750 Tronoh, Perak, Malaysia Tel: +605-3687814, Fax: +605-3657443.

2 Prof. Dr., Electrical and Electronics Engineering Department University Technology PETRONAS, 31750 Tronoh, Perak, Malaysia Tel: +605-3687833, Fax: +605-3657443.

Abstract

Abstract:
This paper describes an approach to identify and change the measurement weights used
in Weight Least Square (WLS) estimation method employed in State Estimation (SE).
In practice, the individual measurement is assigned with their own weight factor based
on technical experience by the engineers. However, uncertainty in analog measurements
could occur in a real time system. Those measurements that are assigned with high
weighting factor need not be a good data. The method of Modified covariance (MC)
proposed in this paper can identify and change the measurement weights of the bad
measurements if the related measurement is assigned with high weight factors.
Simulated measurement data and state estimation results are used as historical data. The
proposed method is tested on IEEE 24-bus network and SE provides reliable estimation.

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