Differential evolution algorithm for simultaneous tuning of excitation and FACTS-based controller

Authors:
Sidhartha Panda;S. C. Swain;A. K. Baliarsingh
Affiliations:
Department of Electrical and Electronics Engineering, National Institute of Science and Technology, Palur Hills, Berhampur, Orissa-761008, India.;Department of Electrical Engineering, KIIT University, Bhubaneswar, Orissa-761008, India.;Department of Electrical Engineering, KIIT University, Bhubaneswar, Orissa-761008, India
Venue:
International Journal of Bio-Inspired Computation
Year:
2010

Citing 2
Cited 1

Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design

Applied Soft Computing

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International Journal of Computer Applications in Technology

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Abstract

This paper investigates the application of recently developed bio-inspired optimisation technique known as differential evolution (DE) optimisation technique for the simultaneous tuning of excitation and a flexible AC transmission systems (FACTS)-based controller. The design objective is to improve the stability of a power system subjected to a disturbance. The design problem is transformed as an optimisation problem and DE optimisation technique is employed to simultaneously tune the excitation and FACTS-based controller parameters. Non-linear simulation results are presented at various loading conditions and disturbances to show the effectiveness and robustness of the proposed approach. It is observed that the proposed controllers improve greatly the system damping and are robust to variation in operating conditions and type of disturbance.