A new fast-learning algorithm for predicting power system stability

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2, Issue WINTER MEETING, 2001, Pages 594-598

  Daoud, Ahmed A ^a   Karady, George G ^a   Amin, Ibrahim A ^b  

^a Arizona State University   (United States)

^b Port Said University   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC GENERATORS; ELECTRIC SUBSTATIONS; LEARNING ALGORITHMS; MOBILE ROBOTS; MOTION PLANNING; NUMERICAL METHODS; ROTORS (WINDINGS); STABILITY;

FAST-LEARNING ALGORITHM; POWER SYSTEM STABILITY; POWER SYSTEM TRANSIENT INSTABILITY; ROBOTIC BALL-CATCHING ALGORITHM;

ELECTRIC POWER SYSTEMS;

EID: 0038647128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. George G. Karady: "Feasibility of new-fast learning algorithms for power system problems"; proposal EE Dept., ASU, 1999.
2. B. Hove, J-J Slotine: "Experiments in robotic catching". IEEE Int'l Conf. on Robotics and Automation, Vol. 1, 1995, pp. 380-385.
3. J. H. Sun, K. L. Lo: "Transient stability real time prediction for multi-machine power systems by using observation"; IEEE TENCON'93/Beijng, 1993, pp. 217-221.
4. Z. Lin, V. Zeman, R. V. Patel: "On-line trajectory planning for catching a moving object". IEEE Int'l Conf. On Robotics and Automation, Vol. 3, 1989, pp.1726-1731.
5. K. Matsuzawa, et al: "Stabilizing control systems preventing loss of synchronism from extension and its actual operating experience". IEEE Trans. Power Systems, Vol. 10, No. 3, August 1995, pp. 1606-1613.