IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i11p4136-d831738.html
   My bibliography  Save this article

Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid

Author

Listed:
  • Guoxing Yu

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Huihui Song

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Meng Liu

    (Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, China)

  • Zongxun Song

    (State Grid Weihai Supply Company, Weihai 264200, China)

  • Yanbin Qu

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

Abstract

The consensus control method based on a multi-agent system has been widely applied in the distributed control and optimization of microgrids. However, the following drawbacks are still common in current research: (1) ignoring the influence of consensus control commands on the synchronization stability of the physical grid under primary control; (2) only focusing on improving one property ofcontrol performance, lacking comprehensive considerations of multiple properties. With the aim of solving these problems, in this paper we propose a weight-adaptive robust control strategy for implementing distributed frequency regulation of islanded microgrids. Firstly, the frequency synchronization stability of the physical layer is analyzed by means of a coupled oscillator theory and the design objectives of the controllable parameters for the information layer are formed. Subsequently, the relationship between the weight coefficients and the two important control performances of convergence speed and delay robustness is strictly analyzed. Based on this, an adaptive coefficient that can be autonomously adjusted according to the frequency deviation is designed to achieve a trade-off between convergence speed and delay robustness. Finally, three simulation studies are presented to verify the effectiveness of the proposed control strategy.

Suggested Citation

  • Guoxing Yu & Huihui Song & Meng Liu & Zongxun Song & Yanbin Qu, 2022. "Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid," Energies, MDPI, vol. 15(11), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4136-:d:831738
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/11/4136/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/11/4136/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kafetzis, A. & Ziogou, C. & Panopoulos, K.D. & Papadopoulou, S. & Seferlis, P. & Voutetakis, S., 2020. "Energy management strategies based on hybrid automata for islanded microgrids with renewable sources, batteries and hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    2. Şerban, I. & Marinescu, C., 2011. "Aggregate load-frequency control of a wind-hydro autonomous microgrid," Renewable Energy, Elsevier, vol. 36(12), pages 3345-3354.
    3. Huihui Song & Linkun Han & Yichen Wang & Weifeng Wen & Yanbin Qu, 2022. "Kron Reduction Based on Node Ordering Optimization for Distribution Network Dispatching with Flexible Loads," Energies, MDPI, vol. 15(8), pages 1-14, April.
    4. Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
    5. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "A review of energy efficiency in ports: Operational strategies, technologies and energy management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 170-182.
    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. Jinyeong Lee & Kyungcheol Shin & Young-Min Wi, 2024. "Decentralized Operations of Industrial Complex Microgrids Considering Corporate Power Purchase Agreements for Renewable Energy 100% Initiatives in South Korea," Sustainability, MDPI, vol. 16(13), pages 1-24, June.
    2. Domenico Gattuso & Domenica Savia Pellicanò, 2023. "HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    3. Minjeong Sim & Dongjun Suh & Marc-Oliver Otto, 2021. "Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    4. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    5. Amr Saleh & Walid A. Omran & Hany M. Hasanien & Marcos Tostado-Véliz & Abdulaziz Alkuhayli & Francisco Jurado, 2022. "Manta Ray Foraging Optimization for the Virtual Inertia Control of Islanded Microgrids Including Renewable Energy Sources," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    6. Pivetta, D. & Dall’Armi, C. & Sandrin, P. & Bogar, M. & Taccani, R., 2024. "The role of hydrogen as enabler of industrial port area decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    7. Ronelly De Souza & Emanuele Nadalon & Melchiorre Casisi & Mauro Reini, 2022. "Optimal Sharing Electricity and Thermal Energy Integration for an Energy Community in the Perspective of 100% RES Scenario," Sustainability, MDPI, vol. 14(16), pages 1-39, August.
    8. David Holder & Steven David Percy & Ali Yavari, 2024. "A Review of Port Decarbonisation Options: Identified Opportunities for Deploying Hydrogen Technologies," Sustainability, MDPI, vol. 16(8), pages 1-36, April.
    9. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    10. Juan Liu & Minwei Liu & Zhimin Wang & Junwen Yang & Suhua Lou, 2022. "Multi-Flexibility Resources Planning for Power System Considering Carbon Trading," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    11. Jon Williamsson & Nicole Costa & Vendela Santén & Sara Rogerson, 2022. "Barriers and Drivers to the Implementation of Onshore Power Supply—A Literature Review," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    12. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Bin Zhang & Li Sun & Mengyao Yang & Kin-Keung Lai & Bhagwat Ram, 2023. "A Robust Optimization Approach for Smart Energy Market Revenue Management," Energies, MDPI, vol. 16(19), pages 1-14, October.
    14. Lu, Ying & Fang, Sidun & Niu, Tao & Liao, Ruijin, 2023. "Energy-transport scheduling for green vehicles in seaport areas: A review on operation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    15. Sepideh Rezaeeian & Narges Bayat & Abbas Rabiee & Saman Nikkhah & Alireza Soroudi, 2022. "Optimal Scheduling of Reconfigurable Microgrids in Both Grid-Connected and Isolated Modes Considering the Uncertainty of DERs," Energies, MDPI, vol. 15(15), pages 1-18, July.
    16. Chen, Sumin & Zeng, Qingcheng & Li, Yantong, 2023. "Integrated operations planning in highly electrified container terminals considering time-of-use tariffs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    17. Poonam Taneja & Godert van Rhede van der Kloot & Mark van Koningsveld, 2021. "Sustainability Performance of Port Infrastructure—A Case Study of a Quay Wall," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
    18. Saif Jamal & Nadia M. L. Tan & Jagadeesh Pasupuleti, 2021. "A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications," Sustainability, MDPI, vol. 13(18), pages 1-31, September.
    19. Oscar Danilo Montoya & Luis Fernando Grisales-Noreña & Diego Armando Giral-Ramírez, 2023. "Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology," Energies, MDPI, vol. 16(2), pages 1-20, January.
    20. Vichos, Emmanouil & Sifakis, Nikolaos & Tsoutsos, Theocharis, 2022. "Challenges of integrating hydrogen energy storage systems into nearly zero-energy ports," Energy, Elsevier, vol. 241(C).

    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:15:y:2022:i:11:p:4136-:d:831738. 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.