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Optimal Generation Capacity Allocation and Droop Control Design for Current Sharing in DC Microgrids

Author

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  • Spyridon Chapaloglou

    (SINTEF Energy Research, 7465 Trondheim, Norway
    Department of Electric Energy, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway)

  • Babak Abdolmaleki

    (Department of Electric Energy, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway)

  • Elisabetta Tedeschi

    (Department of Electric Energy, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway
    Department of Industrial Engineering, University of Trento, 38123 Trento, Italy)

Abstract

Considering the increasing amounts of renewable energy generation and energy storage required to meet ambitious environmental goals, it is clear that the next generation of power grids will be dominated by converter-connected devices. In addition, the increasing share of loads connected via power electronics and the general transition to non-synchronous grids with distributed generators make dc microgrids an attractive future alternative. However, achieving optimal utilization of distributed generators in such cases is a complex task, as the performance depends on both the grid and control design. In this paper, we consider such a case where the optimal utilization of distributed generators is achieved by optimal power sharing while taking into account the grid topology, the available generators, and the way they are controlled. For the latter, we consider a droop-based decentralized control scheme whose primary objective is to achieve voltage regulation in the allowable operating range. A novel mixed-integer optimization approach is proposed to identify the optimal converter size and location in the network so that the microgrid can operate safely and with optimal use of the available resources. Time-domain simulations are used to validate the proposed approach and demonstrate its robustness to uncertainty in generator availability.

Suggested Citation

  • Spyridon Chapaloglou & Babak Abdolmaleki & Elisabetta Tedeschi, 2023. "Optimal Generation Capacity Allocation and Droop Control Design for Current Sharing in DC Microgrids," Energies, MDPI, vol. 16(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4583-:d:1166420
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    References listed on IDEAS

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    1. Kimsrornn Khon & Chhith Chhlonh & Vannak Vai & Marie-Cecile Alvarez-Herault & Bertrand Raison & Long Bun, 2023. "Comprehensive Low Voltage Microgrid Planning Methodology for Rural Electrification," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    2. Nandini K. Krishnamurthy & Jayalakshmi N. Sabhahit & Vinay Kumar Jadoun & Dattatraya Narayan Gaonkar & Ashish Shrivastava & Vidya S. Rao & Ganesh Kudva, 2023. "Optimal Placement and Sizing of Electric Vehicle Charging Infrastructure in a Grid-Tied DC Microgrid Using Modified TLBO Method," Energies, MDPI, vol. 16(4), pages 1-27, February.
    3. Xiong Wu & Zhao Wang & Tao Ding & Zhiyi Li, 2019. "Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders," Energies, MDPI, vol. 12(9), pages 1-23, May.
    4. Zhou, Jianguo & Xu, Zhongtian, 2023. "Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China," Renewable Energy, Elsevier, vol. 202(C), pages 1110-1137.
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