A Neuro-Fuzzy Application to Power System

Vulnerability control is a problematic task for system operator who under economic pressure may be reluctant to take preventive action against very harmful contingencies in order to guarantee providing continued service. This paper presents fast and accurate load shedding technique based on neuro-fuzzy controller for determining the amount of load shed to avoid a cascading outage. A case study is performed on the IEEE 300-bus test system so as to validate the performance of neuro-fuzzy controller in determining the amount of load shed. The development of new and accurate techniques for vulnerability control of power systems can provide tools for improving the reliability and continuity of power supply. This was confirmed by the results obtained in this research of which sample results are given in this paper.