Journal of Power and Energy Engineering

Volume 2, Issue 3 (March 2014)

ISSN Print: 2327-588X   ISSN Online: 2327-5901

Google-based Impact Factor: 1.46  Citations  

Dynamic State Forecasting in Electric Power Networks

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DOI: 10.4236/jpee.2014.23001    5,937 Downloads   8,231 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.

Share and Cite:

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.

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