Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique | IEEE Conference Publication | IEEE Xplore

Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique


Abstract:

A method for designing controls through the excitation system and particle swarm optimization technique to search for the optimal setting of the controller gains to impro...Show More

Abstract:

A method for designing controls through the excitation system and particle swarm optimization technique to search for the optimal setting of the controller gains to improve transient stability and damping is presented. Simulation of multi-machine power systems are performed to show the effectiveness of the proposed controller. Comparisons with two other control schemes namely (i) a voltage regulator combined with a power system stabilizer and (ii) excitation controls designed by using the direct feedback linearization (DFL) technique are given to further benchmark the control scheme.
Date of Conference: 16-16 June 2005
Date Added to IEEE Xplore: 01 August 2005
Print ISBN:0-7803-9157-8
Print ISSN: 1932-5517
Conference Location: San Francisco, CA, USA

I. Introduction

Power systems are of large scale in nature and distributed over large geographic areas. A huge number of controls is applied throughout the system not just to balance the electric power demand and supply but also to counteract severe disturbances that can create dynamic stability problems in a fraction of a second [1]. Many different devices and design techniques have been investigated to improve transient stability and damping characteristics [2], [3]. The dynamics of power systems following considerable structural changes and loading conditions need to be controlled to ensure the integrity of the system. Design of excitation systems and voltage control has been the most cost-effective means of achieving improved system stability and reliability. Nonlinear control design techniques have gained significant attention due to their inherent ability to improve control performance beyond what can be achieved with linear control. Nonlinear control theory provides the tools necessary to improve dynamic performance while advances in computer systems and signal processing allow a practical implementation. This has the potential to result in a more reliable and secure electric power supply.

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References

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