Optimal design of Power System Stabilizer and Thyristor Controlled Series Compensator-based controllers using Genetic Algorithm

Authors

  • R. Nafeena Abdul Munaf, S. JennathBeevi, K. Sarmila Har Beagam, M. Bakkiyaraj, V. Shanmugasundaram

Keywords:

Power System Stabilizer, Thyristor Controlled Series Compensator, Genetic algorithms

Abstract

The design of Power System Stabilizer PSS and Thyristor Controlled Series Compensator (TCSC)-based controllers and the increase in power system stability are given and addressed in detail in this article. It is planned that the controllers will be developed both individually and in groups. On a poorly connected power system subjected to a variety of disturbances, the controllers are put to the test. A discussion was held on the simulation findings under various operating conditions. Genetic algorithms (GA) are a familiar algorithm for optimizing systems. This may be used to fix problems in the power system; therefore, it can be used in that sector. GA-based control systems, such as those implemented with PSS, are employed in combination with a control system that has non-controllable transients to provide power system stability and minimize transients within the power system. The system's installed power and voltage levels are first simulated, followed by the application of the new system during faults. The findings demonstrate that the new power grid is more effective than the standard model.

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References

Juan J. Sanchez-Gasca and Joe H. Chow, Power System Reduction to Simplify the Design of Damping Controllers for Interarea Oscillations, IEEE Transactions on Power Systems. vol. 11, no. 3, 1996.

Pouyan Pourbeik and Michael J. Gibbard, Simultaneous Coordination of Power System Stabilizers and FACTS Device Stabilizers in a Multi-machine Power System for Enhancing Dynamic Performance, IEEE Transactions on Power Systems. vol. 13, no. 2, pp. 473 - 479, 1998.

S. Mishra S, PDash, P. K., Hota P.K, and Tripathy, M ‘Genetically optimized neuro-fuzzy IPFC for damping modal oscillations of power system, IEEE Transactions on Power Systems. vol-17, pp. 1140–1147, 2002.

Chen, C and Hsu, Y, Coordinated synthesis of multimachine power systems using an efficient decentralized modal control algorithm, IEEE Transactions on Power Systems. vol.2 .pp.543-551, 1987.

Nafeena. R, Willjuice Iruthayarajan. M, Redundant placement of phasor measurement unit using multi objective evolutionary algorithms based on modified spectral clustering, Cluster Computing. pp. 12713–12725, 2018.

Abido, M.A, Analysis and assessment of STATCOM-based damping stabilizers for power system stability enhancement, Electric Power Systs. Research. vol-73, pp. 177–185, 2005.

Anderson, P.M. and Fouad, A.A, ’Power system control and stability Thelowa state university press, Ames, IOWA ,USA ,Galgotia publication, 1984.

Demello F.P, and Concordia, C. Concepts of synchronous machine stability as affected by excitation control, IEEE Trans, Power Apparent. Syst., vol.-88,pp,316-329, 1969.

J.J. Grefenstette, optimization of control parameters for genetic algorithm, IEEE Trans.Syst., Man, cybern. vol-16, pp.122-128, 1986.

Hingorani N. G and Gyugyi L ‘Understanding FACTS: Conceptsand Technology of Flexible AC Transmission System’ IEEE Press, 2000.

Lakshmi, P, and Abdullah khan, M. Stability enhancement of a Multimachine Power System using Fuzzy Logic Based Power System Stabilizers tuned through Genetic Algorithm, International Journal of Electrical Power & Energy Systems. vol. 22, no.2, pp. 137-145, 2000.

T Mok, T.K. Liu, H. Ni,Y. Wu F.F. and Hui, R. Tuning the fuzzy damping controller for UPFC through genetic algorithm with comparison to the gradient descent training, Electric Power Systs. Research. vol-27, pp. 275–283, 2005.

Sidharatha Panda, Patel, R.N. and Padhy, N.P. ‘Power SystemStability Improvement by TCSC Controller Employing a Multi Objective Genetic Algorithm Approach’ International Journal of Electrical and Computer Engineering 1:8, 2006.

Z,hang P. and Coonick, A.H, Coordinated Synthesis of PSS Parameters in Multimachine Power Systems using the methods of Inequalities Applied to Genetic Algorithm, IEEE transaction on power system. vol. 2, pp. 1424, 2000.

Prasenjit D, Anulekha S, Bhattacharya, A. Marungsri, B. Analysis of the Effects of PSS and Renewable Integration to an Inter-Area Power Network to Improve Small Signal Stability, Journal of Electrical Engineering & Technology. vol. 15, pp. 2057-2077, 2020.

Shivakumar R,, Shanmugapriya M. and Sugumaran, M “Implementation of a Novel Nature Inspired Firefly Optimizer for Power System Stability Enhancement”, Turkish Journal of Computer and Mathematics Education, vol.12, no.9, pp.2852-2858, 2021.

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Published

24.03.2024

How to Cite

R. Nafeena Abdul Munaf. (2024). Optimal design of Power System Stabilizer and Thyristor Controlled Series Compensator-based controllers using Genetic Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 3505–3514. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5985

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Research Article