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Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Author

Listed:
  • B. Srikanth Goud

    (Department of Electrical and Electronics Engineering, Anurag College of Engineering, Ghatkesar 501301, Telangana, India)

  • Ch. Rami Reddy

    (Department of Electrical and Electronics Engineering, Malla Reddy Engineering College (A), Maisammaguda, Secunderabad 500100, Telangana, India)

  • Mohit Bajaj

    (Department of Electrical and Electronics Engineering, National Institute of Technology Delhi, New Delhi 110040, India)

  • Ehab E. Elattar

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Salah Kamel

    (Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt)

Abstract

The integration of hybrid renewable energy sources (HRESs) into the grid is currently being encouraged to meet the increasing demand for electric power and reduce fossil fuels which are causing environmental-related problems. Integration of HRESs into the grid can create some power quality (PQ) problems. To mitigate PQ problems and improve the performance of grid-connected HRESs some flexible devices should be used. This paper presents a distributed power flow controller (DPFC), as a type of flexible device to mitigate some PQ problems, including voltage sag, swell, disruptions, and eliminating the harmonics in a hybrid power system (HPS). The HPS presented in this work comprises a photo voltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS). As a result, black widow optimization (BWO) with DPFC with real and reactive power (DPFC-PQ) is built in this paper to solve the PQ issues in HRES systems. The main aim of the work is to mitigate PQ problems and compensate for load demand in the HRES scheme. The controller used to drive this DPFC-PQ is a fractional-order PID (FOPID) controller optimized by the black widow optimization (BWO) technique. To assess the capability of BWO in fine-tuning the FOPID controller parameters, twelve optimization techniques were presented: P&O, PSO, Cuckoo, GA, GSA, BBO, Whale, ESA, RFA, ASO, and EVORFA. Additionally, a comparison between the FOPID controller and the classical PI controller is introduced. The results showed that the proposed BWO-FOPID controller for DFPC had mitigated the PQ problems in grid-connected HRESs. The system’s performance with the presented BWO-FOPID controller is compared with eleven optimization techniques used to optimize the FOPID controller and also compared with the conventional PI controller. The design of the proposed system is implemented in the MATLAB/Simulink platform and performances were analyzed.

Suggested Citation

  • B. Srikanth Goud & Ch. Rami Reddy & Mohit Bajaj & Ehab E. Elattar & Salah Kamel, 2021. "Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller," Sustainability, MDPI, vol. 13(20), pages 1-33, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11194-:d:653464
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    References listed on IDEAS

    as
    1. Ch. Naga Sai Kalyan & B. Srikanth Goud & Ch. Rami Reddy & Haitham S. Ramadan & Mohit Bajaj & Ziad M. Ali, 2021. "Water Cycle Algorithm Optimized Type II Fuzzy Controller for Load Frequency Control of a Multi-Area, Multi-Fuel System with Communication Time Delays," Energies, MDPI, vol. 14(17), pages 1-19, August.
    2. Ch. Rami Reddy & B. Srikanth Goud & Flah Aymen & Gundala Srinivasa Rao & Edson C. Bortoni, 2021. "Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique," Energies, MDPI, vol. 14(18), pages 1-29, September.
    3. Muhyaddin Rawa & Abdullah Abusorrah & Yusuf Al-Turki & Saad Mekhilef & Mostafa H. Mostafa & Ziad M. Ali & Shady H. E. Abdel Aleem, 2020. "Optimal Allocation and Economic Analysis of Battery Energy Storage Systems: Self-Consumption Rate and Hosting Capacity Enhancement for Microgrids with High Renewable Penetration," Sustainability, MDPI, vol. 12(23), pages 1-25, December.
    4. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
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    Cited by:

    1. T Anuradha Devi & G Srinivasa Rao & T Anil Kumar & B Srikanth Goud & Ch Rami Reddy & Mbadjoun Wapet Daniel Eutyche & Flah Aymen & Claude Ziad El-Bayedh & Habib Kraiem & Vojtech Blazek, 2024. "Hybrid optimal-FOPID based UPQC for reducing harmonics and compensate load power in renewable energy sources grid connected system," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-53, May.
    2. Dheyaa Ied Mahdi & Goksu Gorel, 2022. "Design and Control of Three-Phase Power System with Wind Power Using Unified Power Quality Conditioner," Energies, MDPI, vol. 15(19), pages 1-21, September.
    3. M. Osama abed el-Raouf & Soad A. A. Mageed & M. M. Salama & Mohamed I. Mosaad & H. A. AbdelHadi, 2023. "Performance Enhancement of Grid-Connected Renewable Energy Systems Using UPFC," Energies, MDPI, vol. 16(11), pages 1-22, May.
    4. A. Kasim Vali & P. Srinivasa Varma & Ch. Rami Reddy & Abdulaziz Alanazi & Ali Elrashidi, 2025. "Deep-Learning-Based Controller for Parallel DSTATCOM to Improve Power Quality in Distribution System," Energies, MDPI, vol. 18(18), pages 1-28, September.

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