GWO- and SSA-Tuned PID Control for Frequency Regulation in Multi-Area Power Network Integrated with Plug-in Electric Vehicle

References

• Ibraheem KP, Kothari D. Recent philosophies of automatic generation control strategies in power systems. IEEE Trans Power Syst. 2005 Feb;20(1):346–357. Conference Name: IEEE Transactions on Power Systems. doi: 10.1109/TPWRS.2004.840438
   Web of Science ®Google Scholar
• Nanda J, Mangla A, Suri S. Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers. IEEE Trans Energy Convers. 2006 Mar;21(1):187–194. Conference Name: IEEE Transactions on Energy Conversion. doi: 10.1109/TEC.2005.853757
   Web of Science ®Google Scholar
• Shayeghi H, Shayanfar HA, Jalili A. Load frequency control strategies: a state-of-the-art survey for the researcher. Energy Convers Manag. 2009 Feb;50(2):344–353. doi: 10.1016/j.enconman.2008.09.014
   Web of Science ®Google Scholar
• Shankar R, Pradhan SR, Chatterjee K, et al. A comprehensive state of the art literature survey on LFC mechanism for power system. Renew Sust Energ Rev. 2017 Sep;76:1185–1207. doi: 10.1016/j.rser.2017.02.064.
   Web of Science ®Google Scholar
• Tan W. Tuning of PID load frequency controller for power systems. Energy Convers Manag. 2009 Jun;50(6):1465–1472. doi: 10.1016/j.enconman.2009.02.024
   Web of Science ®Google Scholar
• Khodabakhshian A, Hooshmand R. A new PID controller design for automatic generation control of hydro power systems. I Int J Electr Power Energy Syst. 2010 Jun;32(5):375–382. doi: 10.1016/j.ijepes.2009.11.006
   Web of Science ®Google Scholar
• Saikia LC, Nanda J, Mishra S. Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system. I Int J Electr Power Energy Syst. 2011 Mar;33(3):394–401. doi: 10.1016/j.ijepes.2010.08.036
   Web of Science ®Google Scholar
• Pieltain Fernandez L, San Roman TG, Cossent R, et al. Assessment of the impact of plug-in electric vehicles on distribution networks. IEEE Trans Power Syst. 2011 Feb;26(1):206–213. doi: 10.1109/TPWRS.2010.2049133
   Web of Science ®Google Scholar
• Izadkhast S, Garcia-Gonzalez P, Frias P. An aggregate model of plug-in electric vehicles for primary frequency control. Power and Energy Society General Meeting (PESGM). 2016 Jul, Place: Boston, MA, USA Publisher: IEEE. doi: 10.1109/PESGM.2016.7741672.
   Google Scholar
• Izadkhast S, Garcia-Gonzalez P, Frías P, et al. Design of plug-in electric vehicle’s frequency-droop controller for primary frequency control and performance assessment. IEEE Trans Power Syst. 2017;32(6):4241–4254. doi: 10.1109/TPWRS.2017.2661241
   Web of Science ®Google Scholar
• Zheng Y, Niu S, Shang Y, et al. Integrating plug-in electric vehicles into power grids: a comprehensive review on power interaction mode, scheduling methodology and mathematical foundation. Renew Sust Energ Rev. 2019 Sep;112:424–439. doi: 10.1016/j.rser.2019.05.059.
   Web of Science ®Google Scholar
• Gaur P, Bhowmik D, Soren N. Utilisation of plug-in electric vehicles for frequency regulation of multi-area thermal interconnected power system. IET Energy Syst Integr. 2019;1(2):88–96. doi: 10.1049/iet-esi.2018.0028
   Google Scholar
• Ali ES, Abd-Elazim SM. Bacteria foraging optimization algorithm based load frequency controller for interconnected power system. I Int J Electr Power Energy Syst. 2011 Mar;33(3):633–638. doi: 10.1016/j.ijepes.2010.12.022
   Web of Science ®Google Scholar
• Gozde H, Cengiz Taplamacioglu M, I Kocaarslan. Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system. I Int J Electr Power Energy Syst. 2012 Nov;42(1):167–178. doi: 10.1016/j.ijepes.2012.03.039
   Web of Science ®Google Scholar
• Omar M, Soliman M, Ghany A, et al. Optimal tuning of PID controllers for Hydrothermal load frequency control using Ant Colony optimization. Int J Electr Eng Inform. 2013 Sep;5(3):348–360. doi: 10.15676/ijeei.2013.5.3.8
   Google Scholar
• Mohanty B, Panda S, Hota PK. Controller parameters tuning of differential evolution algorithm and its application to load frequency control of multi-source power system. I Int J Electr Power Energy Syst. 2014 Jan;54:77–85. doi: 10.1016/j.ijepes.2013.06.029
   Web of Science ®Google Scholar
• Dash P, Saikia LC, Sinha N. Automatic generation control of multi area thermal system using bat algorithm optimized PD–PID cascade controller. I Int J Electr Power Energy Syst. 2015 Jun;68:364–372. doi: 10.1016/j.ijepes.2014.12.063
   Web of Science ®Google Scholar
• Ismail MM, Bendary AF. Load frequency control for multi area Smart grid based on advanced control techniques. Alexandria Eng J. 2018 Dec;57(4):4021–4032. doi: 10.1016/j.aej.2018.11.004
   Web of Science ®Google Scholar
• Veerasamy V, Abdul Wahab NI, Ramachandran R, et al. Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-Tuned PID controller. Sustainability. 2019 Jan;11(24):6908. Number: 24 Publisher: Multidisciplinary Digital Publishing Institute. doi: 10.3390/su11246908
   Web of Science ®Google Scholar
• Mohamed EA, Ahmed EM, Elmelegi A, et al. An optimized hybrid fractional order controller for frequency regulation in multi-area power systems. IEEE Access. 2020;8:213899–213915. doi: 10.1109/ACCESS.2020.3040620.
   Google Scholar
• Sahu PC, Mishra S, Prusty RC, et al. Improved-salp swarm optimized type-II fuzzy controller in load frequency control of multi area islanded AC microgrid. Sust Energy Grids Networks. 2018 Dec;16:380–392. doi: 10.1016/j.segan.2018.10.003.
   Web of Science ®Google Scholar
• Singh A, Sharma V. Salp swarm algorithm-based model predictive controller for frequency regulation of solar integrated power system. Neural Comput Appl. 2019 Dec 31;31(12):8859–8870. doi: 10.1007/s00521-019-04422-3.
   Web of Science ®Google Scholar
• Prakash A, Parida SK LFC of interconnected power system with TCSC using salp swarm algorithm. 2019 8th International Conference on Power Systems (ICPS), Jaipur, India. 2019 Dec;1–5. doi: 10.1109/ICPS48983.2019.9067729.
   Google Scholar
• Ekinci S, Izci D, Kayri M. An Effective controller design Approach for Magnetic Levitation system using novel improved Manta Ray foraging optimization. Arab J Sci Eng. 2022 Aug;47(8):9673–9694. doi: 10.1007/s13369-021-06321-z
   Web of Science ®Google Scholar
• Izci D, Ekinci S, Hekimoğlu B. A novel modified lévy flight distribution algorithm to tune proportional, integral, derivative and acceleration controller on buck converter system. Trans Inst Meas Control. 2022 Jan;44(2):393–409. Publisher: SAGE Publications Ltd STM. doi: 10.1177/01423312211036591
   Web of Science ®Google Scholar
• Izci D, Ekinci S, Mirjalili S. Optimal PID plus second-order derivative controller design for AVR system using a modified Runge Kutta optimizer and Bode’s ideal reference model. Int J Dyn Control. 2023 Jun;11(3):1247–1264. doi: 10.1007/s40435-022-01046-9
   Web of Science ®Google Scholar
• Izci D, Ekinci S, Eker E, et al. Multi-strategy modified INFO algorithm: performance analysis and application to functional electrical stimulation system. J Comput Sci. 2022 Oct;64:101836. doi: 10.1016/j.jocs.2022.101836.
   Web of Science ®Google Scholar
• Ekinci S, Izci D, Eker E, et al. An effective control design approach based on novel enhanced aquila optimizer for automatic voltage regulator. Artif Intell Rev. 2023 Feb;56(2):1731–1762. doi: 10.1007/s10462-022-10216-2
   Web of Science ®Google Scholar
• Izci D, Ekinci S, Zeynelgil HL, et al. Fractional order PID design based on novel improved slime mould algorithm. Electr Pow Compo Sys. 2021 Jun;49(9–10):901–918. doi: 10.1080/15325008.2022.2049650
   Web of Science ®Google Scholar
• Izci D, Ekinci S. A novel improved version of hunger games search algorithm for function optimization and efficient controller design of buck converter system. e-prime - advances in Electrical Engineering. E-Prime - Adv Electric Eng, Electron Energy. 2022 Jan;2:100039. doi: 10.1016/j.prime.2022.100039
   Google Scholar
• Mirjalili S, Gandomi AH, Mirjalili SZ, et al. Salp swarm algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Software. 2017 Dec;114:163–191. doi: 10.1016/j.advengsoft.2017.07.002.
   Web of Science ®Google Scholar
• Mirjalili S, Mirjalili SM, Lewis A. Grey Wolf Optimizer. Adv Eng Software. 2014 Mar;69:46–61. doi: 10.1016/j.advengsoft.2013.12.007
   Web of Science ®Google Scholar
• Sharma M, Prakash S, Saxena S, et al. Optimal fractional-order tilted-integral-derivative controller for frequency stabilization in hybrid power system using salp swarm algorithm. Electr Pow Compo Sys. 2020 Nov;48(18):1912–1931. doi: 10.1080/15325008.2021.1906792
   Web of Science ®Google Scholar
• Topno PN, Chanana S. Load frequency control of a two-area multi-source power system using a tilt integral derivative controller. J Vibr Control. 2018 Jan;24(1):110–125. Publisher: SAGE Publications Ltd STM. doi: 10.1177/1077546316634562
   Web of Science ®Google Scholar