Dynamic State Forecasting in Electric Power Networks

Sideig A. Dowi, Amar Ibrahim Hamza

School of Electrical and Electronics Engineering, North China Electric Power University, Beijing, China.

DOI: 10.4236/jpee.2014.23001                

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.

Keywords

Dynamic State Estimation; Extended Kalman Filter; State Estimation; Electric Power Flow

Conflicts of Interest

The authors declare no conflicts of interest.

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