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Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid

Author

Listed:
  • Maya Vijayan

    (Electrical and Electronics Engineering, SRM University-AP, Neerukonda 522502, India)

  • Ramanjaneya Reddy Udumula

    (Electrical and Electronics Engineering, SRM University-AP, Neerukonda 522502, India)

  • Tarkeshwar Mahto

    (Electrical and Electronics Engineering, SRM University-AP, Neerukonda 522502, India)

  • Bhamidi Lokeshgupta

    (Electrical and Electronics Engineering, SRM University-AP, Neerukonda 522502, India)

  • B Srikanth Goud

    (Electrical and Electronics Engineering, Anurag University, Hyderabad 500088, India)

  • Ch Naga Sai Kalyan

    (Electrical and Electronics Engineering, Vasireddy Venkatadri Institute of Technology, Guntur 522508, India)

  • Praveen Kumar Balachandran

    (Electrical and Electronics Engineering, Vardhaman College of Engineering, Hyderabad 501218, India)

  • Dhanamjayulu C

    (School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India)

  • Sanjeevikumar Padmanaban

    (Department of Energy Engineering, Aalborg University, 9100 Aalborg, Denmark)

  • Bhekisipho Twala

    (Faculty of Engineering and Built Environment, Tshwane University of Technology (BTA), Pretoria 0001, South Africa)

Abstract

Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system.

Suggested Citation

  • Maya Vijayan & Ramanjaneya Reddy Udumula & Tarkeshwar Mahto & Bhamidi Lokeshgupta & B Srikanth Goud & Ch Naga Sai Kalyan & Praveen Kumar Balachandran & Dhanamjayulu C & Sanjeevikumar Padmanaban & Bhek, 2022. "Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:14666-:d:966037
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    References listed on IDEAS

    as
    1. Lu, D. & Fakham, H. & Zhou, T. & François, B., 2010. "Application of Petri nets for the energy management of a photovoltaic based power station including storage units," Renewable Energy, Elsevier, vol. 35(6), pages 1117-1124.
    2. Karimi, Hamid & Jadid, Shahram, 2020. "Optimal energy management for multi-microgrid considering demand response programs: A stochastic multi-objective framework," Energy, Elsevier, vol. 195(C).
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