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A Novel Swarm Approach for Regulating Load Frequency in Two-Area Energy Systems

Author(s): Namburi Nireekshana1*, R. Ramachandran2 and G. V. Narayana3

Publisher : FOREX Publication

Published : 10 June 2023

e-ISSN : 2347-470X

Page(s) : 371-377




Namburi Nireekshana*, Department of Electrical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India; Email: nireekshan222@gmail.com

R. Ramachandran, Department of Electrical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India; Email: ramachandran.auee@gmail.com

G. V. Narayana, Department of Electrical & Electronics Engineering, Faculty of Engineering and Technology, JNTUA, AP, India; Email: gv1.venkata@gmail.com

    [1] “Renewable and Sustainable Energy Reviews,” ResearchGate. https://www.researchgate.net/journal/Renewable-and-Sustainable-Energy-Reviews-1364-0321 (accessed Mar. 19, 2022). [Cross Ref]
    [2] A. Soundarrajan, S. Sumathi, and C. Sundar, “Particle swarm optimization based LFC and AVR of autonomous power generating system,” IAENG Int. J. Comput. Sci., vol. 37, no. 1, pp. 37–1, 2010.
    [3] A. Soundarrajan, S. Sumathi, and C. Sundar, “Particle swarm optimization based LFC and AVR of autonomous power generating system,” IAENG Int. J. Comput. Sci., vol. 37, no. 1, pp. 37–1, 2010.
    [4] L. Bhukya, A. Annamraju, and S. Nandiraju, “Robust frequency control in a wind-diesel autonomous microgrid: A novel two-level control approach,” Renew. Energy Focus, vol. 36, pp. 21–30, 2021. [Cross Ref]
    [5] B. Jana, S. Mitra, and S. Acharyya, “Repository and mutation based particle swarm optimization (RMPSO): A new PSO variant applied to reconstruction of gene regulatory network,” Appl. Soft Comput., vol. 74, pp. 330–355, 2019. [Cross Ref]
    [6] K.-L. Du and M. N. S. Swamy, “Search and optimization by metaheuristics,” Tech. Algorithms Inspired Nat., pp. 1–10, 2016.
    [7] 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 Trans. Evol. Comput., vol. 12, no. 2, pp. 171–195, 2008. [Cross Ref]
    [8] A. Kaveh, Advances in metaheuristic algorithms for optimal design of structures. Springer, 2014.
    [9] A. Salman, I. Ahmad, and S. Al-Madani, “Particle swarm optimization for task assignment problem,” Microprocess. Microsyst., vol. 26, no. 8, pp. 363–371, 2002. [Cross Ref]
    [10] L. dos Santos Coelho and V. C. Mariani, “A novel chaotic particle swarm optimization approach using Hénon map and implicit filtering local search for economic load dispatch,” Chaos Solitons Fractals, vol. 39, no. 2, pp. 510–518, 2009. [Cross Ref]
    [11] “Venkata Anjani Kumar G and M. Damodar Reddy (2023), Fuzzy and PSO tuned PI controller based SAPF for Harmonic Mitigation. IJEER 11(1), 119-125. DOI: 10.37391/IJEER.110116.”. [Cross Ref]
    [12] C. MJ and R. Jayapal, “Performance analysis of FL, PI and PID controller for AGC and AVR of a Two-Area Power System”.
    [13] M. Moafi, M. Marzband, M. Savaghebi, and J. M. Guerrero, “Energy management system based on fuzzy fractional order PID controller for transient stability improvement in microgrids with energy storage,” Int. Trans. Electr. Energy Syst., vol. 26, no. 10, pp. 2087–2106, 2016. [Cross Ref]
    [14] H. H. Alhelou, M.-E. Hamedani-Golshan, R. Zamani, E. Heydarian-Forushani, and P. Siano, “Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: a comprehensive review,” Energies, vol. 11, no. 10, p. 2497, 2018. [Cross Ref]
    [15] K. Naidu, H. Mokhlis, and A. A. Bakar, “Multiobjective optimization using weighted sum artificial bee colony algorithm for load frequency control,” Int. J. Electr. Power Energy Syst., vol. 55, pp. 657–667, 2014. [Cross Ref]
    [16] A. M. Jadhav, K. Vadirajacharya, and E. T. Toppo, “Application of particle swarm optimisation in load frequency control of interconnected thermal-hydro power systems,” Int. J. Swarm Intell., vol. 1, no. 1, pp. 91–113, 2013. [Cross Ref]
    [17] C. Fu, C. Wang, and D. Shi, “An alternative method for mitigating impacts of communication delay on load frequency control,” Int. J. Electr. Power Energy Syst., vol. 119, p. 105924, 2020. [Cross Ref]
    [18] M. Shiroei and A. M. Ranjbar, “Supervisory predictive control of power system load frequency control,” Int. J. Electr. Power Energy Syst., vol. 61, pp. 70–80, 2014. [Cross Ref]
    [19] H. Shabani, B. Vahidi, and M. Ebrahimpour, “A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems,” ISA Trans., vol. 52, no. 1, pp. 88–95, 2013. [Cross Ref]
    [20] N. Nireekshana, R. R. Chandran, and G. V. Narayana, “Frequency Regulation in Two Area System with PSO Driven PID Technique,” J. Power Electron. Power Syst., vol. 12, no. 2, pp. 8–20, Nov. 2022.
    [21] A. Annamraju, L. Bhukya, and S. Nandiraju, “Robust frequency control in a standalone microgrid: An adaptive fuzzy based fractional order cascade PD-PI approach,” Adv. Control Appl. Eng. Ind. Syst., vol. 3, no. 3, p. e72, 2021. [Cross Ref]

Namburi Nireekshana, R. Ramachandran and G. V. Narayana (2023), A Novel Swarm Approach for Regulating Load Frequency in Two-Area Energy Systems. IJEER 11(2), 371-377. DOI: 10.37391/IJEER.110218.