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Dynamic State Forecasting in Electric Power Networks

DOI: 10.4236/jpee.2014.23001    3,764 Downloads   5,630 Views   Citations

ABSTRACT

The real time monitoring and control have become very important in electric power system in order to achieve a high reliability in the system. So, improvement in Energy Management System (EMS) leads to improvement in the monitoring and control functions in the control center. In this paper, DSE is proposed based on Weighted Least Squares (WLS) estimator and Holt’s exponential smoothing to state predicting and Extended Kalman Filter to state filtering. The results viewing the dynamic state the estimator performance under normal and abnormal operating conditions.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Dowi, S. and Hamza, A. (2014) Dynamic State Forecasting in Electric Power Networks. Journal of Power and Energy Engineering, 2, 1-11. doi: 10.4236/jpee.2014.23001.

References

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