E. Modeling and Prediction


Dejan J. Sobajic, Yoh-Han Pao and Dennis T. Lee

Departments of Electrical Engineering and Computer Science

Case Western Reserve University

and AI WARE Inc., Cleveland, Ohio 44106


In this paper we demonstrate the feasibility of neural network methodology for carrying out real-time analysis of power systems. This methodology will be capable of characterizing the near-term transient stability of the system, as well as perform mid-term and long-term dynamic security analyses. We distinguish between the two tasks in the following manner. In the transient stability analysis, we are principally concerned with the question of whether the system can return to a steady ...

Get Neural Network Computing for the Electric Power Industry now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.