Abstract

Problem statement: In power systems, there exists a continuous challenge to improve dynamic performance of power system. Approach: The Static Synchronous Series Compensator (SSSC) is a power electronic based device that has capability of controlling the power flow through the line both in steady state and dynamic sate. This study applied the SSSC to damp power system oscillation. The optimal control design is applied to derive the control strategy of SSSC. The simulation results are tested on a Single Machine Infinite bus. The proposed method is equipped in sample system with disturbance. The generator rotor angle curve of the system without and with a SSSC is plotted and compared. Results: It was found that the system without a SSSC has high variation whereas that of the system with a SSSC has much smaller variation. Conclusion: From the simulation results, the SSSC can damp power system oscillation.

Highlights

  • The recent blackout in northeast United States, and Roy, 2010; Bagher et al, 2009; Chamsai et al, followed by similar incidents in England, Italy and 2010)

  • This study presents the control strategy of a Synchronous Series Compensator (SSSC)

  • This study presents optimal control of a Static Synchronous Series Compensator (SSSC) in a power system to enhance power system dynamic performance

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Summary

Introduction

The recent blackout in northeast United States, and Roy, 2010; Bagher et al, 2009; Chamsai et al, followed by similar incidents in England, Italy and 2010). This study presents the control strategy of a SSSC power system. It challenges power engineering to find for improving power system dynamic performance. The the new methods for improving dynamic performance concept of optimal control is applied to derive control of power system. The control strategy is applied to a SSSC (FACTS) controllers, based on the rapid development placed in a power system to investigate the of power electronics technology, have been proposed improvement of the power system dynamic for power flow control in steady state and dynamic performance

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