Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability

B. Chiranjeev Rao*, Sushil Kumhar**
*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.
Periodicity:January - March'2023
DOI : https://doi.org/10.26634/jps.10.4.19277

Abstract

A novel Opposition-based Whale Optimization Algorithm (OWOA) is utilized to build a power stabilizer and increase multimachine stability. A Conventional Power System Stabilizer (CPSS) with a lead-lag compensator is employed, and OWOA fine-tunes its settings using an objective function that minimizes the integral absolute error of speed deviations of generator rotors. Various time-domain simulations were performed to validate the superior performance of the proposed Power System Stabilizers (PSS). Furthermore, the performance of the proposed PSS is compared to a Whale Optimization Algorithm (WOA)-based PSS and a conventional PSS. The obtained results demonstrate the effective performance of the proposed OWOA-based PSS for power oscillation damping.

Keywords

Power Oscillations, Whale Optimization Algorithm, Opposition-Based Learning, Power System Stabilizer, Two-Area Four-Machine System.

How to Cite this Article?

Rao, B. C., and Kumhar, S. (2023). Design and Performance Analysis of Opposition-Based Whale Optimization Algorithm Tuned Power System Stabilizer for Multimachine Stability. i-manager’s Journal on Power Systems Engineering, 10(4), 15-26. https://doi.org/10.26634/jps.10.4.19277

References

[7]. Ahmadzadeh, M., Mortazavi, S., Mohammadzadeh, S., & Heydari, S. V. (2010). Application of multi objective optimization approach in designing of power system stabilizers and power system stability enhancement. International Review of Electrical Engineering (IREE), 5(6), 2846-2854.
[14]. Denai, M. B. M. A., & Mohamed, B. (2005). Robust stabilizer of electric power generator using H∞ with pole placement constraints. Journal of Electrical Engineering, 56(7), 176-182.
[19]. Jalilzadeh, S., Noroozian, R., Sabouri, M., & Behzadpoor, S. (2011). PSS and SVC controller design using chaos, PSO and SFL algorithms to enhancing the power system stability. Energy and Power Engineering, 3(2), 87.
[21]. Klein, M., Rogers, G. J., Moorty, S., & Kundur, P. (1992). Analytical investigation of factors influencing power system stabilizers performance. IEEE Transactions on Energy Conversion, 7(3), 382-390.
[22]. Kumar, C. H., & Rao, R. S. (2016). A novel global MPP tracking of photovoltaic system based on whale optimization algorithm. International Journal of Renewable Energy Development, 5(3), 225-232.
[23]. Kundur, P. S., Balu, N. J. & Lauby, M. G. (2022). Power System Stability and Control. McGraw-Hill, New York.
[25]. Padiyar, K. R. (2007). FACTS Controllers in Power Transmission and Distribution. New Age International.
[33]. Tizhoosh, H. R. (2005, November). Opposition-based learning: A new scheme for machine intelligence. In International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) (Vol. 1, pp. 695-701). IEEE.
[35]. Touma, H. J. (2016). Study of the economic dispatch problem on IEEE 30-bus system using whale optimization algorithm. International Journal of Engineering Technology and Sciences, 3(1), 11-18.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • 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.