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Fuzzy Hysteresis Current Controller for Power Quality Enhancement in Renewable Energy Integrated Clusters

Author

Listed:
  • Yellapragada Venkata Pavan Kumar

    (School of Electronics Engineering, VIT-AP University, Amaravati 522237, Andhra Pradesh, India)

  • Sivakavi Naga Venkata Bramareswara Rao

    (Department of Electrical and Electronics Engineering, Sir C. R. Reddy College of Engineering, Eluru 534007, Andhra Pradesh, India)

  • Kottala Padma

    (Department of Electrical Engineering, Andhra University College of Engineering (A), Visakhapatnam 530003, Andhra Pradesh, India)

  • Challa Pradeep Reddy

    (School of Computer Science and Engineering, VIT-AP University, Amaravati 522237, Andhra Pradesh, India)

  • Darsy John Pradeep

    (School of Electronics Engineering, VIT-AP University, Amaravati 522237, Andhra Pradesh, India)

  • Aymen Flah

    (Energy Processes Environment and Electrical Systems Unit, National Engineering School of Gabes, University of Gabes, Gabes 6029, Tunisia)

  • Habib Kraiem

    (Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia)

  • Michał Jasiński

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Srete Nikolovski

    (Power Engineering Department, Faculty of Electrical Engineering, Computer Science and Information Technology, University of Osijek, 31000 Osijek, Croatia)

Abstract

Steady increase in electricity consumption, fossil fuel depletion, higher erection times of conventional plants, etc., are encouraging the use of more and more onsite renewable energy. However, due to the dynamic changes in environmental factors as well as the customer load, renewable energy generation is facing issues with reliability and quality of the supply. As a solution to all these factors, renewable energy integrated cluster microgrids are being formed globally in urban communities. However, their effectiveness in generating quality power depends on the power electronic converters that are used as an integral part of the microgrids. Thus, this paper proposes the “Fuzzy Hysteresis Current Controller (FHCC)-based Inverter” for improving the power quality in renewable energy integrated cluster microgrids that are operated either in grid-connected or autonomous mode. Here, the inverter is controlled through a fuzzy logic-based hysteresis current control loop, thereby achieving superior performance. System modelling and simulations are done using MATLAB/Simulink ® . The performance analysis of the proposed and conventional inverter configurations is done by computing various power quality indices, namely voltage characteristics (swell, sag, and imbalance), frequency characteristics (deviations), and total harmonic distortion. The results reveal that the proposed FHCC-based inverter achieves a better quality of power than the traditional ST-PWM-based multilevel inverter in terms of IEEE/IEC/EN global standards for renewable energy integrated cluster microgrids application.

Suggested Citation

  • Yellapragada Venkata Pavan Kumar & Sivakavi Naga Venkata Bramareswara Rao & Kottala Padma & Challa Pradeep Reddy & Darsy John Pradeep & Aymen Flah & Habib Kraiem & Michał Jasiński & Srete Nikolovski, 2022. "Fuzzy Hysteresis Current Controller for Power Quality Enhancement in Renewable Energy Integrated Clusters," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4851-:d:796511
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    References listed on IDEAS

    as
    1. Kakran, Sandeep & Chanana, Saurabh, 2018. "Smart operations of smart grids integrated with distributed generation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 524-535.
    2. Sivakavi Naga Venkata Bramareswara Rao & Yellapragada Venkata Pavan Kumar & Darsy John Pradeep & Challa Pradeep Reddy & Aymen Flah & Habib Kraiem & Jawad F. Al-Asad, 2022. "Power Quality Improvement in Renewable-Energy-Based Microgrid Clusters Using Fuzzy Space Vector PWM Controlled Inverter," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    3. Naderi, Yahya & Hosseini, Seyed Hossein & Ghassem Zadeh, Saeid & Mohammadi-Ivatloo, Behnam & Vasquez, Juan C. & Guerrero, Josep M., 2018. "An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 201-214.
    4. Armin Razmjoo & Meysam Majidi Nezhad & Lisa Gakenia Kaigutha & Mousa Marzband & Seyedali Mirjalili & Mehdi Pazhoohesh & Saim Memon & Mehdi A. Ehyaei & Giuseppe Piras, 2021. "Investigating Smart City Development Based on Green Buildings, Electrical Vehicles and Feasible Indicators," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
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    Cited by:

    1. Purna Prakash Kasaraneni & Venkata Pavan Kumar Yellapragada & Ganesh Lakshmana Kumar Moganti & Aymen Flah, 2022. "Analytical Enumeration of Redundant Data Anomalies in Energy Consumption Readings of Smart Buildings with a Case Study of Darmstadt Smart City in Germany," Sustainability, MDPI, vol. 14(17), pages 1-24, August.
    2. Marian Gaiceanu & Silviu Epure & Razvan Constantin Solea & Razvan Buhosu, 2025. "Power Quality Improvement with Three-Phase Shunt Active Power Filter Prototype Based on Harmonic Component Separation Method with Low-Pass Filter," Energies, MDPI, vol. 18(3), pages 1-20, January.
    3. Gogulamudi Pradeep Reddy & Yellapragada Venkata Pavan Kumar & Maddikera Kalyan Chakravarthi & Aymen Flah, 2022. "Refined Network Topology for Improved Reliability and Enhanced Dijkstra Algorithm for Optimal Path Selection during Link Failures in Cluster Microgrids," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    4. Sugunakar Mamidala & Yellapragada Venkata Pavan Kumar & Rammohan Mallipeddi, 2025. "Revolutionizing Electric Vehicle Charging Stations with Efficient Deep Q Networks Powered by Multimodal Bioinspired Analysis for Improved Performance," Energies, MDPI, vol. 18(7), pages 1-30, March.
    5. Dongdong Yang & Shixuan Lü & Junming Wei & Lijun Zheng & Yunguang Gao, 2025. "Detection and Classification of Power Quality Disturbances Based on Improved Adaptive S-Transform and Random Forest," Energies, MDPI, vol. 18(15), pages 1-17, August.
    6. Sami M. Alshareef & Ahmed Fathy, 2023. "Efficient Red Kite Optimization Algorithm for Integrating the Renewable Sources and Electric Vehicle Fast Charging Stations in Radial Distribution Networks," Mathematics, MDPI, vol. 11(15), pages 1-30, July.
    7. Yellapragada Venkata Pavan Kumar & Sivakavi Naga Venkata Bramareswara Rao & Darsy John Pradeep, 2025. "Fuzzy-Based Current-Controlled Voltage Source Inverter for Improved Power Quality in Photovoltaic and Fuel Cell Integrated Sustainable Hybrid Microgrids," Sustainability, MDPI, vol. 17(10), pages 1-24, May.

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