i-manager Publications

Performance Analysis Based on Stability Enhancement of SMIB System Using Harmony Search Optimization Technique

Nidhi Sahu*, Mahesh Singh**, Shimpy Ralhan***

* PG Scholar, Department of Electrical and Electronics Engineering, SSTC, Bhilai (C.G.), India.

** Sr. Assistant Professor, Department of Electrical and Electronics Engineering, SSTC, Bhilai (C.G.), India.

*** Associate Professor, Department of Electrical and Electronics Engineering, SSTC, Bhilai (C.G.), India.

Periodicity:August - October'2019
DOI : https://doi.org/10.26634/jps.7.3.16877

Abstract

Due to complex behaviour of power system networks, now-a-days systems are used in an interconnected rather than isolated form. In this paper, stability enhancement of SMIB (Single Machine Infinite Bus) is evaluated. The MATLAB is used as a simulink tool to examine the response of the system. The three main elements considered for the analysis of SMIB system are Synchronous Machine, Excitation System, and Power System Stabilizer (PSS). There are many control devices which are designed to minimize the low frequency oscillations, among them PSS is one of the effective control devices used frequently, which minimizes the oscillations of the system and maintains the stability. For performing the stability criteria, optimization technique is used. Harmony search optimization is preferred over Ant colony optimization and Genetic algorithm due to its fast rate of convergence.

Keywords

Ant Colony Optimization (ACO), Harmony Search (HS) Optimization, Power System Stabilizer (PSS), Stability Improvement, Single Machine Infinite Bus (SMIB) System.

How to Cite this Article?

Sahu, N., Singh, M., and Ralhan, S. (2019). Performance Analysis Based on Stability Enhancement of SMIB System Using Harmony Search Optimization Technique. i-manager's Journal on Power Systems Engineering, 7(3), 45-52. https://doi.org/10.26634/jps.7.3.16877

References

[1]. Al-Hadabi, B., Al-Oissi, A., Al-Hinai, A., Al-Lawati, M., & Al-Lawati, A. (2007, April). Design and implementation of a power system stabilizer for power system dynamic stability enhancement. In Industrial Application of Energy Systems Conference (IAES'2007).

[2]. Al-Hinai, A. S., & Al-Hinai, S. M. (2009, January). Dynamic stability enhancement using particle swarm optimization power system stabilizer. In 2009 2nd International Conference on Adaptive Science & Technology (ICAST) (pp. 117-119). IEEE. https://doi.org/10. 1109/ICASTECH.2009.5409738

[3]. Ali, E. S. (2014). Optimization of power system stabilizers using BAT search algorithm. International Journal of Electrical Power & Energy Systems, 61, 683- 690. https://doi.org/10.1016/j.ijepes.2014.04.007

[4]. Kasilingam, G. (2014). Particle swarm optimization based pid power system stabilizer for a synchronous machine. International Journal of Electrical and Computer Engineering, 8(1), 111-116. https://doi.org/10. 5281/zenodo.1090613

[5]. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power System Stability and Control (Vol. 7). McGraw-Hill.

[6]. Maurya, A. K., Bongulwar, M. R., & Patre, B. M. (2015, December). Tuning of fractional order PID controller for higher order process based on ITAE minimization. In 2015 Annual IEEE India Conference (INDICON) (pp. 1-5). IEEE. https://doi.org/10.1109/INDICON.2015.7443503

[7]. Padiyar, K. R. (1996). Power System Dynamics: Stability and Control. John Wiley.

[8]. Singh, M., Patel, R. N., & Jhapte, R. (2016, January). Performance comparison of optimized controller tuning techniques for voltage stability. In 2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI) (pp. 11-15). IEEE. https://doi.org/10. 1109/CMI.2016.7413701

[9]. Singh, M., Neema, D. D., & Patel, R. N. (2017). Improving Stability in Hydel Power System using Ant Colony Optimized Tuned Controller. i-manager's Journal on Electrical Engineering, 11(2), 16-25. https://doi.org/10. 26634/jee.11.2.13851

[10]. Singh, M., Patel, R. N., & Neema, D. D. (2019). Robust tuning of excitation controller for stability enhancement using multi-objective metaheuristic Firefly algorithm. Swarm and evolutionary computation, 44, 136-147. https://doi.org/10.1016/j.swevo.2018.01.010

[11]. Stevenson, W. D. (1982). Elements of Power System Analysis (Vol. 4). McGraw-Hill.

[12]. Soliman, S. A. H., & Mantawy, A. A. H. (2011). Modern Optimization Techniques with Applications in Electric Power Systems. Springer Science & Business Media.

[13]. Theja, B. S., Rajasekhar, A., Kothari, D. P., & Das, S. (2013, April). Design of PID controller based power system stabilizer using Modified Philip-Heffron's model: An Artificial Bee Colony approach. In 2013 IEEE Symposium on Swarm Intelligence (SIS) (pp. 228-234). IEEE. https://doi.org/10. 1109/SIS.2013.6615183

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.