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Li, H. and Li, W.G. (2009) Estimation and Forecasting of Dynamic State Estimation in Power Systems. International Conference on Sustainable Power Generation and Supply, Nanjing, 6-7 April 2009, 1-6.

has been cited by the following article:

• TITLE: Dynamic State Forecasting in Electric Power Networks

  AUTHORS: Sideig A. Dowi, Amar Ibrahim Hamza

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

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.2 No.3, March 28, 2014

  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.