Title :
Neural networks for dynamic security assessment of large-scale power systems: requirements overview
Author :
Kumar, A. B Ranjit ; Ipakchi, Ali ; Brandwajn, Vladimir ; El-Sharkawi, Mohamed ; Cauley, Gerry
Abstract :
The computational requirements associated with dynamic security assessment (DSA) by conventional methods are two or three orders of magnitude more than the requirements for static security assessment. Therefore comprehensive on-line DSA is infeasible in present power system control centers. The exploitation of novel techniques to solve the problems of DSA is essential for on-line implementation. The authors set forth the requirements of DSA for a large-scale power system, followed by a description of the capabilities and limitations of neural network methods in meeting these requirements
Keywords :
neural nets; power system analysis computing; dynamic security assessment; neural network methods; power systems; static security assessment; Artificial neural networks; Expert systems; Large-scale systems; Network topology; Neural networks; Power system control; Power system dynamics; Power system faults; Power system security; Power systems;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213499
