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Load Frequency Control in Two-Area Multi-Source Power System Using Bald Eagle-Sparrow Search Optimization Tuned PID Controller

Author

Listed:
  • T. Dharma Raj

    (The Department of Electrical and Electronics Engineering, V V College of Engineering, Tirunelveli 627657, India)

  • C. Kumar

    (The Department of Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Karur 639113, India)

  • Panos Kotsampopoulos

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, Greece)

  • Hady H. Fayek

    (Electromechanics Engineering Department, Faculty of Engineering, Heliopolis University, Cairo 11785, Egypt)

Abstract

For power system engineers, automated load frequency control (LFC) for multi-area power networks has proven a difficult problem. With the addition of numerous power generation sources, the complexity of these duties becomes even more difficult. The dynamic nature of linked power networks with varied generating sources, such as gas, thermal, and hydropower plants, is compared in this research. For the study to be more accurate, frequency and tie-line power measurements are used. For precise tuning of proportional-integral-derivative (PID) controller gains, the Bald Eagle Sparrow search optimization (BESSO) technique was used. The BESSO algorithm was created by combining the characteristics of sparrows and bald eagles. The performance of BESSO is determined by comparing its findings to those acquired using traditional approaches. In terms of Integral Time Absolute Error (ITAE), which is the most important criterion used to reduce system error, the findings presented in this study indicate the effectiveness of the BESSO-PID controller. Finally, sensitivity analysis and stability analysis proved the robustness of the developed controller. The settling times associated with the tie-line power flow, frequency variation in area-1, and frequency variation in area-2, respectively, were 10.4767 s, 8.5572 s, and 11.4364 s, which were all less than the traditional approaches. As a result, the suggested method outperformed the other strategies.

Suggested Citation

  • T. Dharma Raj & C. Kumar & Panos Kotsampopoulos & Hady H. Fayek, 2023. "Load Frequency Control in Two-Area Multi-Source Power System Using Bald Eagle-Sparrow Search Optimization Tuned PID Controller," Energies, MDPI, vol. 16(4), pages 1-25, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:2014-:d:1072370
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    References listed on IDEAS

    as
    1. Ajay Kumar & Deepak Kumar Gupta & Sriparna Roy Ghatak & Bhargav Appasani & Nicu Bizon & Phatiphat Thounthong, 2022. "A Novel Improved GSA-BPSO Driven PID Controller for Load Frequency Control of Multi-Source Deregulated Power System," Mathematics, MDPI, vol. 10(18), pages 1-41, September.
    2. Tayyab Ali & Suheel Abdullah Malik & Amil Daraz & Sheraz Aslam & Tamim Alkhalifah, 2022. "Dandelion Optimizer-Based Combined Automatic Voltage Regulation and Load Frequency Control in a Multi-Area, Multi-Source Interconnected Power System with Nonlinearities," Energies, MDPI, vol. 15(22), pages 1-34, November.
    3. Krishan Arora & Ashok Kumar & Vikram Kumar Kamboj & Deepak Prashar & Sudan Jha & Bhanu Shrestha & Gyanendra Prasad Joshi, 2020. "Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids," Mathematics, MDPI, vol. 8(6), pages 1-25, June.
    4. Reza Alayi & Farhad Zishan & Seyed Reza Seyednouri & Ravinder Kumar & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Optimal Load Frequency Control of Island Microgrids via a PID Controller in the Presence of Wind Turbine and PV," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    5. García-Gracia, Miguel & Comech, M. Paz & Sallán, Jesús & Llombart, Andrés, 2008. "Modelling wind farms for grid disturbance studies," Renewable Energy, Elsevier, vol. 33(9), pages 2109-2121.
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