Real Time Instability Prediction Through Energy Approach and IMM Algorithm

A method for real-time predicting the outcome of evolving transient behavior in power systems by an energy approach and an interactive multiple model (IMM) algorithm is presented. A new tracking algorithm consisting of a constant velocity model and a current statistical model is developed to predict the power angle trajectory by measurements of PMUs. The critical energy and energy margin is quickly evaluated by TEF-BCU method to decide whether or not the system synchronism can be maintained. The proposed method has been tested on a 10-machine 39-bus New England test system. The work reported in this paper is funded by the financial support of National Science Council of the People's Republic of China Fund through its grant No. 973-G1998020322.