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Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method

Author

Listed:
  • Changsen Feng

    (School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, China)

  • Fushuan Wen

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Lijun Zhang

    (State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China)

  • Chenbo Xu

    (State Grid Zhejiang Economic Research Institute, Hangzhou 310008, China)

  • Md. Abdus Salam

    (Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei)

  • Shi You

    (Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark)

Abstract

With the ever-intensive utilization of distributed generators (DGs) and smart devices, distribution networks are evolving from a hierarchal structure to a distributed structure, which imposes significant challenges to network operators in system dispatch. A distributed energy-management method for a networked microgrid (NM) is proposed to coordinate a large number of DGs for maintaining secure and economic operations in the electricity-market environment. A second-order conic programming model is used to formulate the energy-management problem of an NM. Network decomposition was first carried out, and then a distributed solution for the established optimization model through invoking alternating-direction method of multipliers (ADMM). A modified IEEE 33-bus power system was finally utilized to demonstrate the performance of distributed energy management in an NM.

Suggested Citation

  • Changsen Feng & Fushuan Wen & Lijun Zhang & Chenbo Xu & Md. Abdus Salam & Shi You, 2018. "Decentralized Energy Management of Networked Microgrid Based on Alternating-Direction Multiplier Method," Energies, MDPI, vol. 11(10), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2555-:d:171989
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    References listed on IDEAS

    as
    1. Wang, Qi & Zhang, Chunyu & Ding, Yi & Xydis, George & Wang, Jianhui & Østergaard, Jacob, 2015. "Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response," Applied Energy, Elsevier, vol. 138(C), pages 695-706.
    2. Feng Qi & Fushuan Wen & Xunyuan Liu & Md. Abdus Salam, 2017. "A Residential Energy Hub Model with a Concentrating Solar Power Plant and Electric Vehicles," Energies, MDPI, vol. 10(8), pages 1-17, August.
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    Cited by:

    1. Guodong Liu & Maximiliano F. Ferrari & Thomas B. Ollis & Aditya Sundararajan & Mohammed Olama & Yang Chen, 2023. "Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation," Energies, MDPI, vol. 16(7), pages 1-27, March.
    2. Guodong Liu & Maximiliano F. Ferrari & Thomas B. Ollis & Kevin Tomsovic, 2022. "An MILP-Based Distributed Energy Management for Coordination of Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-20, September.
    3. Wakui, Tetsuya & Hashiguchi, Moe & Yokoyama, Ryohei, 2020. "A near-optimal solution method for coordinated operation planning problem of power- and heat-interchange networks using column generation-based decomposition," Energy, Elsevier, vol. 197(C).
    4. Maryam Khanbaghi & Aleksandar Zecevic, 2020. "Jump Linear Quadratic Control for Microgrids with Commercial Loads," Energies, MDPI, vol. 13(19), pages 1-21, September.
    5. Yizhi Cheng & Peichao Zhang & Xuezhi Liu, 2019. "Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework," Energies, MDPI, vol. 13(1), pages 1-21, December.

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