Transient stability improvement using ANFIS controlled UPFC based on energy function

Abstract

This paper presents the application of a neuro-fuzzy controlled Unified Power Flow Controller (UPFC) to improve transient stability of power system. In neuro-fuzzy control method the membership function parameters of fuzzy controller can be computed with learning information about a data set. This Adaptive Network Fuzzy Inference System (ANFIS) can track the given input-output data the best. The process of training data generation is based on maximizing the energy function of UPFC. Proposed method is tested on a single machine infinitive bus system to confirm its performance through simulation. The results prove the noticeable influence of neuro-fuzzy controlled UPFC on increasing Critical Clearing Time (CCT) of system.