The efficient search method for high risk events of power systems by use of knowledge bases

Power systems become large and complex, so the occurrence rates of a great deal of energy loss caused by faults become high. In this situation, the development of the efficient search method for high risk events of power systems is strongly required. Risk is defined as the product of energy loss and its occurrence rate, considering that the goal of power systems is the stable supply of power. This paper presents the developed search method for high risk events of power systems caused by loss of transient stability which is the most important characteristic to assess in power systems. This method gains the high search efficiency by use of knowledge bases. It was applied to the model system composed of 3 generators and 9 buses. The results of application have clarified its effectiveness.

[1]  Anjan Bose,et al.  Contingency ranking based on severity indices in dynamic security analysis , 1999 .

[2]  Tetsushi Miki,et al.  Power system transient stability assessment using critical fault clearing time functions , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[3]  J.D. McCalley,et al.  Identifying high risk N-k contingencies for online security assessment , 2005, IEEE Transactions on Power Systems.

[4]  D. Jayaweera,et al.  Computing the value of security , 2002 .

[5]  V. Vittal,et al.  Online Risk-Based Security Assessment , 2002, IEEE Power Engineering Review.

[6]  V. Vittal,et al.  Software Implementation of Online Risk-Based Security Assessment , 2002, IEEE Power Engineering Review.

[7]  T. Miki,et al.  Development of a hybrid type assessment method for power system dynamic reliability , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[8]  Roy Billinton,et al.  Probabilistic transient stability studies using the method of bisection [power systems] , 1996 .