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Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems

Author

Listed:
  • Sheikh Safiullah

    (Electrical Engineering Department, National Institute of Technology Srinagar, Srinagar 190006, Jammu and Kashmir, India)

  • Asadur Rahman

    (Electrical Engineering Department, National Institute of Technology Srinagar, Srinagar 190006, Jammu and Kashmir, India)

  • Shameem Ahmad Lone

    (Electrical Engineering Department, National Institute of Technology Srinagar, Srinagar 190006, Jammu and Kashmir, India)

  • S. M. Suhail Hussain

    (Electrical Engineering Department, King Fahad University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Taha Selim Ustun

    (Fukushima Renewable Energy Institute, National Institute of Advanced Science and Technology (AIST), Koriyama 963-0215, Japan)

Abstract

The ongoing pandemic due to novel coronavirus disease-2019 (COVID-19) has rapidly unsettled the health sector with a considerable fatality rate. The main factors that help minimize the spread of this deadly virus are the proper use of masks, social distancing and antibody growth rate in a person. Based on these factors, we propose a new nature-inspired meta-heuristic algorithm named COVID-19 Based Optimization Algorithm (C-19BOA). The proposed C-19BOA mimics the spread and control behavior of coronavirus disease centered on three containment factors: (1) social distancing, (2) use of masks, and (3) antibody rate. Initially, the mathematical models of containment factors are presented, and further, the proposed C-19BOA is developed. To ascertain the effectiveness of the developed C-19BOA, its performance is verified on standard IEEE mathematical benchmark functions for the minimization of these benchmark functions and convergence to the optimal values. These performances are compared with established bio-inspired optimization algorithms available in the literature. Finally, the developed C-19BOA is applied on an electrical power system load–frequency–control model to test its effectiveness in optimizing the power system parameters and to check its applicability in solving modern engineering problems. A performance comparison of the proposed C-19BOA and other optimization algorithms is validated based on optimizing the controller gains for reducing the steady-state errors by comparing the effective frequency and tie-line power regulation ability of an industrially applied Proportional–Integral–Derivative controller (PID) and Active Disturbance Rejection controller (ADRC). Moreover, the robustness of C-19BOA optimized PID and ADRC gains is tested by varying the system parameters from their nominal values.

Suggested Citation

  • Sheikh Safiullah & Asadur Rahman & Shameem Ahmad Lone & S. M. Suhail Hussain & Taha Selim Ustun, 2022. "Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14287-:d:960365
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    References listed on IDEAS

    as
    1. Anurag Chauhan & Subho Upadhyay & Mohd. Tauseef Khan & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    2. Maher G. M. Abdolrasol & Mahammad Abdul Hannan & S. M. Suhail Hussain & Taha Selim Ustun & Mahidur R. Sarker & Pin Jern Ker, 2021. "Energy Management Scheduling for Microgrids in the Virtual Power Plant System Using Artificial Neural Networks," Energies, MDPI, vol. 14(20), pages 1-19, October.
    3. Shreya Shree Das & Arup Das & Subhojit Dawn & Sadhan Gope & Taha Selim Ustun, 2022. "A Joint Scheduling Strategy for Wind and Solar Photovoltaic Systems to Grasp Imbalance Cost in Competitive Market," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    4. Latif, Abdul & Hussain, S. M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2021. "Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system," Applied Energy, Elsevier, vol. 282(PA).
    5. Zahid Farooq & Asadur Rahman & S. M. Suhail Hussain & Taha Selim Ustun, 2022. "Power Generation Control of Renewable Energy Based Hybrid Deregulated Power System," Energies, MDPI, vol. 15(2), pages 1-19, January.
    6. Shakti Singh & Prachi Chauhan & Mohd Asim Aftab & Ikbal Ali & S. M. Suhail Hussain & Taha Selim Ustun, 2020. "Cost Optimization of a Stand-Alone Hybrid Energy System with Fuel Cell and PV," Energies, MDPI, vol. 13(5), pages 1-23, March.
    7. Mohammed A. A. Al-qaness & Ahmed A. Ewees & Hong Fan & Mohamed Abd Elaziz, 2020. "Optimized Forecasting Method for Weekly Influenza Confirmed Cases," IJERPH, MDPI, vol. 17(10), pages 1-12, May.
    8. Samui, Piu & Mondal, Jayanta & Khajanchi, Subhas, 2020. "A mathematical model for COVID-19 transmission dynamics with a case study of India," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    9. Partha Pratim Dey & Dulal Chandra Das & Abdul Latif & S. M. Suhail Hussain & Taha Selim Ustun, 2020. "Active Power Management of Virtual Power Plant under Penetration of Central Receiver Solar Thermal-Wind Using Butterfly Optimization Technique," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    10. Nitesh Kumar Singh & Chaitali Koley & Sadhan Gope & Subhojit Dawn & Taha Selim Ustun, 2021. "An Economic Risk Analysis in Wind and Pumped Hydro Energy Storage Integrated Power System Using Meta-Heuristic Algorithm," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
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