Application of modified covariance algorithm in state estimation | ||||
| The International Conference on Electrical Engineering | ||||
| Article 135, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-15 PDF (102.46 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2008.34501 | ||||
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| Authors | ||||
| Nursyarizal Mohd Nor1; Ramiah Jegatheesan2 | ||||
| 1Electrical and Electronics Engineering Department University Technology PETRONAS, 31750 Tronoh, Perak, Malaysia Tel: +605-3687814, Fax: +605-3657443. | ||||
| 2Prof. 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. | ||||
| Keywords | ||||
| State Estimation (SE); Weight Least Square (WLS); Autoregressive (AR); Modified Covariance (MC) algorithm | ||||
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