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Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders

Author

Listed:
  • Xiong Wu

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhao Wang

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Tao Ding

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhiyi Li

    (Robert W. Galvin Center for Electricity Innovation, Illinois Institute of Technology, Chicago, IL 60616, USA)

Abstract

With the significant increase in DC loads (such as data and telecommunication centers) at the power distribution level, an additional set of power electronic converters are required to connect these DC loads to the AC-dominant power network. Notably, hybrid AC/DC microgrids (MGs) serve as promising solutions to satisfying both the AC and DC loads with a reduced number of installed converters. Since DC loads may be randomly distributed in the MG, how to place DC feeders to simultaneously fulfill the economic and security requirements of MG operations remains a challenging problem. To address this issue, this paper proposes a hybrid AC/DC MG planning model to determine the optimal placement of DC feeders with the objective of minimizing the total cost of the investment of distributed energy resources (DERs), converters, and AC/DC distribution lines, as well as the operation of DERs. In particular, the power flow of the hybrid AC/DC MG is derived in a unified manner and then incorporated in the planning model. Eventually, the proposed model suffices to find the optimal number and siting for both DERs and DC feeders while ensuring the continuality of the DC feeders. The proposed model is tested in two MG-based distribution systems, and its effectiveness is validated by the results of numerical experiments.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1751-:d:229504
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    References listed on IDEAS

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    1. Nwulu, Nnamdi I. & Xia, Xiaohua, 2017. "Optimal dispatch for a microgrid incorporating renewables and demand response," Renewable Energy, Elsevier, vol. 101(C), pages 16-28.
    2. Aharon Ben-Tal & Arkadi Nemirovski, 2001. "On Polyhedral Approximations of the Second-Order Cone," Mathematics of Operations Research, INFORMS, vol. 26(2), pages 193-205, May.
    3. Ding, Tao & Lin, Yanling & Bie, Zhaohong & Chen, Chen, 2017. "A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration," Applied Energy, Elsevier, vol. 199(C), pages 205-216.
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    Cited by:

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    2. Danilo Santoro & Nicola Delmonte & Marco Simonazzi & Andrea Toscani & Nicholas Rocchi & Giovanna Sozzi & Paolo Cova & Roberto Menozzi, 2023. "Local Power Distribution—A Review of Nanogrid Architectures, Control Strategies, and Converters," Sustainability, MDPI, vol. 15(3), pages 1-29, February.
    3. Ali Mahmoudian & Junwei Lu, 2025. "Two-Stage Multi-Objective Optimal Planning of Hybrid AC/DC Microgrid by Using ϵ -Constraint Method," Energies, MDPI, vol. 18(8), pages 1-14, April.
    4. Rajvikram Madurai Elavarasan & Aritra Ghosh & Tapas K. Mallick & Apoorva Krishnamurthy & Meenal Saravanan, 2019. "Investigations on Performance Enhancement Measures of the Bidirectional Converter in PV–Wind Interconnected Microgrid System," Energies, MDPI, vol. 12(14), pages 1-22, July.
    5. 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.
    6. Cristian Tapia & Diana Ulloa & Mayra Pacheco-Cunduri & Jorge Hernández-Ambato & Jesús Rodríguez-Flores & Victor Herrera-Perez, 2022. "Optimal Fuzzy-Based Energy Management Strategy to Maximize Self-Consumption of PV Systems in the Residential Sector in Ecuador," Energies, MDPI, vol. 15(14), pages 1-28, July.
    7. Nur Najihah Abu Bakar & Josep M. Guerrero & Juan C. Vasquez & Najmeh Bazmohammadi & Yun Yu & Abdullah Abusorrah & Yusuf A. Al-Turki, 2021. "A Review of the Conceptualization and Operational Management of Seaport Microgrids on the Shore and Seaside," Energies, MDPI, vol. 14(23), pages 1-31, November.
    8. Łukasz Rokicki, 2021. "Optimization of the Configuration and Operating States of Hybrid AC/DC Low Voltage Microgrid Using a Clonal Selection Algorithm with a Modified Hypermutation Operator," Energies, MDPI, vol. 14(19), pages 1-24, October.

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