Special Issue Article Open Access

Voltage Stability Monitoring Using Adaptive Neuro-Fuzzy Inference System

Abstract

This paper presents an application of (ANFIS) for monitoring power system voltage stability. The training of ANFIS is accomplished by adapting information received from local and remote measurements as inputs and fast indicators providing voltage stability information of the whole power system and one at each particular bus as outputs. The use of feature reduction techniques can decrease the number of features required and thus reduce the number of system quantities needed to be measured and transmitted. In this paper, the effectiveness of the proposed algorithm is tested under a large number of random operating conditions on the standard IEEE 14-bus system and the results are encouraging. Fast performance and accurate evaluation of voltage stability indicators have been obtained. Finally, the idea of applying load shedding based on voltage stability indicator as one of potentialcountermeasures is described.

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