Fuzzy Coordination of FACTS Controllers for Damping Power System Oscillations - Free Final Year Project's

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Oct 4, 2009

Fuzzy Coordination of FACTS Controllers for Damping Power System Oscillations

This paper is based on fuzzy logic and concerns the optimization and coordination of the conventional FACTS (Flexible AC Transmission Systems) damping controllers in multi-machine power system. Nowadays, FACTS devices can be used to control the power flow and enhance system stability. They are playing an increasing and major role in the operation and control of power systems. The UPFC (Unified Power Flow Controller) is the most versatile and powerful FACTS device. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such projects and seminar.

Fuzzy Coordination of FACTS Controllers for Damping Power System Oscillations

Fuzzy-coordination controller is presented in this paper for the coordinated of traditional FACTS controllers. The parameters in the transmission line, i.e. line impedance, terminal voltages, and voltage angle can be controlled by UPFC. It is used for independent control of real and reactive power in transmission lines. Moreover, the UPFC can be used for voltage support and damping of electromechanical oscillations. In this paper, a multimachine system with UPFC is simulated.


In this study, the linearized Phillips-Heffron model of a power system equipped with UPFC and demonstrates the application of the model in analyzing the damping effect of the UPFC and designing UPFC based stabilizer to improve power system oscillation stability. A comprehensive approach to the design of UPFC based stabilizer (power flow control, DC-voltage regulator and damping controller) is presented.

Flow Chart Fuzzy Coordination of FACTS Controllers

In this case, the multi-machine power system with UPFC is studied and an example of power system is presented. It is shown that the DC voltage contributes negative damping to power system oscillations, which is confirmed by both eigen value computation and nonlinear simulation.

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