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CPSOGSA Optimization Algorithm Driven Cascaded 3DOF-FOPID-FOPI Controller for Load Frequency Control of DFIG-Containing Interconnected Power System

Author

Listed:
  • Shihao Xie

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Yun Zeng

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Jing Qian

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Fanjie Yang

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

  • Youtao Li

    (School of Metallurgy and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

This paper proposes a new cascaded fractional-order controller (CC-FOC) to solve the load frequency control (LFC) problem of an interconnected power system. The CC-FOC consists of a three-degree-of-freedom fractional-order proportional-integral-differential (3DOF-FOPID) controller and a fractional-order proportional-integral (FOPI) controller. Each area of the two-area interconnected power system in this study consists of a thermal unit, a hydro unit, a diesel unit, and a doubly-fed induction generator (DFIG). The enhanced particle swarm optimization (PSO) and gravitational search algorithm (GSA) under the chaotic map optimization (CPSOGSA) technique are used to optimize the controller gains and parameters to enhance the load frequency control performance of the cascade controller. Moreover, simulation experiments are conducted for the interconnected power system under load perturbation and random wind speed fluctuations. The simulation results demonstrate that the proposed cascaded fractional-order controller outperforms the traditional proportional-integral-differential (PID) controller and three other fractional-order controllers in terms of LFC performance. The suggested cascade controller displays strong dynamic control performance and the resilience of the cascade fractional-order controller by adjusting the load disturbance and analyzing the system characteristics.

Suggested Citation

  • Shihao Xie & Yun Zeng & Jing Qian & Fanjie Yang & Youtao Li, 2023. "CPSOGSA Optimization Algorithm Driven Cascaded 3DOF-FOPID-FOPI Controller for Load Frequency Control of DFIG-Containing Interconnected Power System," Energies, MDPI, vol. 16(3), pages 1-18, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1364-:d:1049197
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    References listed on IDEAS

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    1. Olabi, A.G. & Abdelkareem, Mohammad Ali, 2022. "Renewable energy and climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Ziba Rostami & Sajad Najafi Ravadanegh & Navid Taghizadegan Kalantari & Josep M. Guerrero & Juan C. Vasquez, 2020. "Dynamic Modeling of Multiple Microgrid Clusters Using Regional Demand Response Programs," Energies, MDPI, vol. 13(16), pages 1-19, August.
    3. Wei Fan & Zhijian Hu & Veerapandiyan Veerasamy, 2022. "PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines," Energies, MDPI, vol. 15(21), pages 1-15, November.
    4. CH. Naga Sai Kalyan & B. Srikanth Goud & Ch. Rami Reddy & Mohit Bajaj & Naveen Kumar Sharma & Hassan Haes Alhelou & Pierluigi Siano & Salah Kamel, 2022. "Comparative Performance Assessment of Different Energy Storage Devices in Combined LFC and AVR Analysis of Multi-Area Power System," Energies, MDPI, vol. 15(2), pages 1-22, January.
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    Cited by:

    1. K. Nagendra & K. Varun & G. Som Pal & K. Santosh & Sunil Semwal & Manoj Badoni & Rajeev Kumar, 2024. "A Comprehensive Approach to Load Frequency Control in Hybrid Power Systems Incorporating Renewable and Conventional Sources with Electric Vehicles and Superconducting Magnetic Energy Storage," Energies, MDPI, vol. 17(23), pages 1-36, November.

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