IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i12p4583-d1166420.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/12/4583/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/12/4583/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohd Bilal & Pitshou N. Bokoro & Gulshan Sharma & Giovanni Pau, 2024. "A Cost-Effective Energy Management Approach for On-Grid Charging of Plug-in Electric Vehicles Integrated with Hybrid Renewable Energy Sources," Energies, MDPI, vol. 17(16), pages 1-35, August.
    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. Thangaraj Yuvaraj & Thirukoilur Dhandapani Suresh & Arokiasamy Ananthi Christy & Thanikanti Sudhakar Babu & Benedetto Nastasi, 2023. "Modelling and Allocation of Hydrogen-Fuel-Cell-Based Distributed Generation to Mitigate Electric Vehicle Charging Station Impact and Reliability Analysis on Electrical Distribution Systems," Energies, MDPI, vol. 16(19), pages 1-31, September.
    4. Zhao, Anjun & Jiao, Yang & Quan, Wei & Chen, Yiren, 2024. "Net zero carbon rural integrated energy system design optimization based on the energy demand in temporal and spatial dimensions," Renewable Energy, Elsevier, vol. 222(C).
    5. Yi’an Wang & Zhe Wu & Dong Ni, 2024. "Large-Scale Optimization among Photovoltaic and Concentrated Solar Power Systems: A State-of-the-Art Review and Algorithm Analysis," Energies, MDPI, vol. 17(17), pages 1-38, August.
    6. Dara Eam & Vannak Vai & Chhith Chhlonh & Samphors Eng, 2023. "Planning of an LVAC Distribution System with Centralized PV and Decentralized PV Integration for a Rural Village," Energies, MDPI, vol. 16(16), pages 1-19, August.
    7. Dagui Liu & Weiqing Wang & Huie Zhang & Wei Shi & Caiqing Bai & Huimin Zhang, 2023. "Day-Ahead and Intra-Day Optimal Scheduling Considering Wind Power Forecasting Errors," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    8. Polisetty, S.P.R. Swamy & Jayanthi, R. & Sai Veerraju, M., 2023. "An intelligent optimal charging stations placement on the grid system for the electric vehicle application," Energy, Elsevier, vol. 285(C).
    9. Lyu, Chenghao & Zhang, Yuchen & Bai, Yilin & Yang, Kun & Song, Zhengxiang & Ma, Yuhang & Meng, Jinhao, 2024. "Inner-outer layer co-optimization of sizing and energy management for renewable energy microgrid with storage," Applied Energy, Elsevier, vol. 363(C).
    10. Sadaqat Ali & Zhixue Zheng & Michel Aillerie & Jean-Paul Sawicki & Marie-Cécile Péra & Daniel Hissel, 2021. "A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications," Energies, MDPI, vol. 14(14), pages 1-26, July.
    11. Kassab, Fadi Agha & Celik, Berk & Locment, Fabrice & Sechilariu, Manuela & Liaquat, Sheroze & Hansen, Timothy M., 2024. "Optimal sizing and energy management of a microgrid: A joint MILP approach for minimization of energy cost and carbon emission," Renewable Energy, Elsevier, vol. 224(C).
    12. Álvarez-Arroyo, César & Vergine, Salvatore & de la Nieta, Agustín Sánchez & Alvarado-Barrios, Lázaro & D’Amico, Guglielmo, 2024. "Optimising microgrid energy management: Leveraging flexible storage systems and full integration of renewable energy sources," Renewable Energy, Elsevier, vol. 229(C).
    13. 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.
    14. Güven, Aykut Fatih, 2024. "Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management," Energy, Elsevier, vol. 303(C).
    15. 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.
    16. 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.
    17. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4583-:d:1166420. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.