Enhancement of power system security and voltage control by an expert system using pattern recognition techniques

The authors present a new methodology for applying pattern recognition techniques and a parallel architecture in the monitoring and enhancement of power system static and dynamic security. The work takes advantage of an advanced data structure which supports the proposed parallel architecture with high evaluation accuracies, computational savings, flexibility of formulation and expansion. This approach has been tested on practical transmission systems, and the requirements for working and backup memories are both well within the capacity of a personal computer. The authors also describe the development and results of an expert system using PROLOG for enhancing system voltage control. Designed for repeated and separate control of generator excitation and shunt reactive compensation, this expert system has the ideal characteristics for distributed and parallel processing