Abstract

This paper presents the design of a non-linear controller to prevent an electric power system losing synchronism after a large sudden fault and to achieve good post fault voltage level. By Direct Feedback Linearization (DFL) technique robust non-linear excitation controller is designed which will achieve stability enhancement and voltage regulation of power system. By utilizing this technique, there is a possibility of selecting various control loops for a particular application problem. This method plays an important role in control system and power system engineering problem where all relevant variables cannot be directly measured. Simulated results carried out on a single machine infinite bus power system model which shows the enhancement of transient stability regardless of the fault and changes in network parameters.

Highlights

  • In this paper, the problem of transient stability and voltage regulation after a sudden disturbance in power system is considered

  • The problem of transient stability is frequently considered which is concerned with the maintenance of synchronism between generators following a severe disturbance

  • A new nonlinear control scheme was proposed by Mou Chen and Wen-Hua Chen [2] for a class of nonlinear systems subjected to unknown disturbances where the Sliding Mode Control (SMC) scheme is integrated with disturbance observers

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Summary

Introduction

The problem of transient stability and voltage regulation after a sudden disturbance in power system is considered. Changes in angular differences may be so large as to cause the machine to fall out of step This type of instability is known as transient instability and is a fast phenomenon usually occurring within a second. J. Hill [1] presented the direct feedback linearization (DFL) technique as a simple and flexible nonlinear control method to design robust nonlinear excitation controllers for stability enhancement and voltage regulation of power system. J. Hill [3] applied DFL to transfer a non-linear multi-machine power system problem to a linear one as well as robust decentralized control is obtained.

Dynamical Model of Power System
Mathematical Analysis of Controller
Fuzzy Logic Controllers
Simulation Results
Conclusion

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