JAYA Algorithm-Optimized Load Frequency Control of a Four-Area Interconnected Power System Tuning Using PID Controller

Authors

  • S. Pahadasingh School of Electrical Engineering, Kalinga Institute of Industrial Technology Deemed to be University, India
  • C. Jena School of Electrical Engineering, Kalinga Institute of Industrial Technology Deemed to be University, India
  • C. K. Panigrahi School of Electrical Engineering, Kalinga Institute of Industrial Technology Deemed to be University, India
  • B. P. Ganthia Electrical Engineering Department, Indira Gandhi Institute of Technology, India

Abstract

This study examined the design of a Load Frequency Control (LFC) component in a four-area interconnected power system. LFC maintains the frequency of a power system within a prescribed limit. Various controllers for the LFC of a power system have been proposed. The PID controller is a classical approach to LFC. A PID controller that uses a filter in the derivative part amplifies and smooths out the high-frequency noise. The selection of the appropriate optimization method to tune controller gains plays a vital role for LFC. In this work, the PID controller was optimized using the Particle Swarm Optimization (PSO) and the JAYA optimization methods and was simulated in Matlab-Simulink. After studying and comparing the results, it was concluded that the PID controller using the JAYA algorithm provided better LFC in terms of system settling time, overshoot, undershoot, and performance index compared to other optimization methods.

Keywords:

load frequency control, AGC, JAYA, PSO, Tie line

Downloads

Download data is not yet available.

References

R. Shankar, S. R. Pradhan, K. Chatterjee, and R. Mandal, "A comprehensive state of the art literature survey on LFC mechanism for power system," Renewable and Sustainable Energy Reviews, vol. 76, pp. 1185–1207, Sep. 2017. DOI: https://doi.org/10.1016/j.rser.2017.02.064

N. N. Shah, A. D. Chafekar, D. N. Mehta, and A. R. Suthar, "Automatic Load Frequency Control of two Area Power System with Conventional and Fuzzy Logic Control," International Journal of Research in Engineering and Technology, vol. 1, no. 3, pp. 343–347, Mar. 2012. DOI: https://doi.org/10.15623/ijret.2012.0103026

K. M. Passino and N. Quijano, "Proportional-Integral-Derivative Control with Derivative Filtering and Integral Anti-Windup for a DC Servo," Ohio State University, Colombus, OH, USA, Mar. 2002.

A. Dhamanda, A. Dutt, and A. K. Bhardwaj, "Automatic Generation Control in Four Area Interconnected Power System of Thermal Generating Unit through Evolutionary Technique," International Journal on Electrical Engineering and Informatics, vol. 7, no. 4, pp. 569–583, Dec. 2015. DOI: https://doi.org/10.15676/ijeei.2015.7.4.3

B. Mohanty, S. Panda, and P. K. Hota, "Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system," International Journal of Electrical Power & Energy Systems, vol. 54, pp. 77–85, Jan. 2014. DOI: https://doi.org/10.1016/j.ijepes.2013.06.029

Y. del Valle, G. K. Venayagamoorthy, S. Mohagheghi, J.-C. Hernandez, and R. G. Harley, "Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems," IEEE Transactions on Evolutionary Computation, vol. 12, no. 2, pp. 171–195, Apr. 2008. DOI: https://doi.org/10.1109/TEVC.2007.896686

B. P. Ganthia, S. K. Barik, and B. Nayak, "Shunt Connected FACTS Devices for LVRT Capability Enhancement in WECS," Engineering, Technology & Applied Science Research, vol. 10, no. 3, pp. 5819–5823, Jun. 2020. DOI: https://doi.org/10.48084/etasr.3560

W. F. Abd-El-Wahed, A. A. Mousa, and M. A. El-Shorbagy, "Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems," Journal of Computational and Applied Mathematics, vol. 235, no. 5, pp. 1446–1453, Jan. 2011. DOI: https://doi.org/10.1016/j.cam.2010.08.030

B. Alatas, E. Akin, and A. B. Ozer, "Chaos embedded particle swarm optimization algorithms," Chaos, Solitons & Fractals, vol. 40, no. 4, pp. 1715–1734, May 2009. DOI: https://doi.org/10.1016/j.chaos.2007.09.063

R. Rao, "Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems," International Journal of Industrial Engineering Computations, vol. 7, no. 1, pp. 19–34, 2016. DOI: https://doi.org/10.5267/j.ijiec.2015.8.004

A. S. Alshammari, B. M. Alshammari, T. Guesmi, and R. Abbassi, "Evaluation Framework of the Deficit and Reliability Quality Measures of the Transmission System," Engineering, Technology & Applied Science Research, vol. 11, no. 2, pp. 6930–6934, Apr. 2021. DOI: https://doi.org/10.48084/etasr.4074

S. A. Dayo, S. H. Memon, M. A. Uqaili, and Z. A. Memon, "LVRT Enhancement of a Grid-tied PMSG-based Wind Farm using Static VAR Compensator," Engineering, Technology & Applied Science Research, vol. 11, no. 3, pp. 7146–7151, Jun. 2021. DOI: https://doi.org/10.48084/etasr.4147

P. D. Chung, "Smoothing the Power Output of a Wind Turbine Group with a Compensation Strategy of Power Variation," Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7343–7348, Aug. 2021. DOI: https://doi.org/10.48084/etasr.4234

L. B. Raju and K. S. Rao, "Evaluation of Passive Islanding Detection Methods for Line to Ground Unsymmetrical Fault in Three Phase Microgrid Systems: Microgrid Islanding Detection Method," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7591–7597, Oct. 2021. DOI: https://doi.org/10.48084/etasr.4310

G. A. Alshammari, F. A. Alshammari, T. Guesmi, B. M. Alshammari, A. S. Alshammari, and N. A. Alshammari, "A New Particle Swarm Optimization Based Strategy for the Economic Emission Dispatch Problem Including Wind Energy Sources," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7585–7590, Oct. 2021. DOI: https://doi.org/10.48084/etasr.4279

T. Lachumanan, R. Singh, M. I. Shapiai, and T. J. S. Anand, "Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach," Engineering, Technology & Applied Science Research, vol. 11, no. 6, pp. 7793–7799, Dec. 2021. DOI: https://doi.org/10.48084/etasr.4489

C. L. Wadhwa, Electrical Power System, 7th edition. New Delhi, India: New Age International, 2017.

H. Saarat, Power System Analysis. New Delhi, India: WCB McGraw-Hill, 1999.

B. P. Ganthia, A. Pritam, K. Rout, S. Singhsamant, and J. Nayak, "Study of AGC in Two-Area Hydro-thermal Power System," in Advances in Power Systems and Energy Management: ETAEERE-2016, A. Garg, A. K. Bhoi, P. Sanjeevikumar, and K. K. Kamani, Eds. Singapore: Springer, 2018, pp. 393–401. DOI: https://doi.org/10.1007/978-981-10-4394-9_39

A. Pritam, S. Sahu, S. D. Rout, S. Ganthia, and B. P. Ganthia, "Automatic Generation Control Study in Two Area Reheat Thermal Power System," IOP Conference Series: Materials Science and Engineering, vol. 225, Dec. 2017, Art. no. 012223. DOI: https://doi.org/10.1088/1757-899X/225/1/012223

Downloads

How to Cite

[1]
Pahadasingh, S., Jena, C., Panigrahi, C.K. and Ganthia, B.P. 2022. JAYA Algorithm-Optimized Load Frequency Control of a Four-Area Interconnected Power System Tuning Using PID Controller. Engineering, Technology & Applied Science Research. 12, 3 (Jun. 2022), 8646–8651. DOI:https://doi.org/10.48084/etasr.4891.

Metrics

Abstract Views: 793
PDF Downloads: 512

Metrics Information

Most read articles by the same author(s)