Features Designing a Neuro-Fuzzy Controller for GUPFC to Improve Transient Stability Based on Energy Function

Document Type : Persian Original Article

Authors

1 Department ofElectrical Engineering, Islamic Azad University – Science and Research Branch,Tehran,Iran

2 Department of Electrical Engineering, Islamic Azad University – Science and Research Branch,Tehran,Iran

3 Department of Electrical and Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran.

Abstract

In this paper, designing a neuro-fuzzy controller for generalized unified power flow controller (GUPFC) to improve transient stability has been investigated. For this purpose, a controllable compensator has been designed by using lyapunov stability criterion to increase transient stability margin and damp transient oscillation in such systems. Since transient energy function of system is a suitable tool for investigating the stability issue, optimization of GUPFC energy function has been noticed in order to reach the highest margin of transient stability. This idea is the basis of producing required teaching information in ANFIS network and can be used as a GUPFC controller. In this paper, the impact of GUPFC on single machine system, infinite bus (SMIB) and 9-bus system (Anderson and Fouad, 1977) has been studied by using proposed method. Moreover, by simulating the other FACTS devices such as UPFC and IPFC, the priority of GUPFC was proved.

Keywords

References

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