An artificial intelligence framework for online transient stability assessment of power systems
- 1 May 1989
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 4 (2), 789-800
- https://doi.org/10.1109/59.193853
Abstract
A framework is proposed to tackle the online transient stability problem of power systems. Based on artificial intelligence, it successively makes use of an inductive inference method to build decisions automatically and a deductive inference method to apply them online. The authors lay the foundations of an inductive inference method, where the rules explicitly relate a system's stability with relevant parameters of it. A simple but realistic power system is treated to illustrate important features of the method and to suggest how the derived decision rules could be used online.>Keywords
This publication has 9 references indexed in Scilit:
- Decision trees applied to on-line transient stability assessment of power systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Inductive inference applied to on-line transient stability assessment of electric power systemsAutomatica, 1989
- A simple direct method for fast transient stability assessment of large power systemsIEEE Transactions on Power Systems, 1988
- Real-time analytic sensitivity method for transient security assessment and preventive controlIEE Proceedings C Generation, Transmission and Distribution, 1988
- Entropy and Correlation: Some CommentsIEEE Transactions on Systems, Man, and Cybernetics, 1987
- Induction of decision treesMachine Learning, 1986
- Explanation-based generalization: A unifying viewMachine Learning, 1986
- A general framework for induction and a study of selective inductionMachine Learning, 1986
- Security Evaluation in Power Systems Using Pattern RecognitionIEEE Transactions on Power Apparatus and Systems, 1974