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Research on Cooperative Planning of Distributed Generation Access to AC/DC Distribution (Micro) Grids Based on Analytical Target Cascading

Author

Listed:
  • Hao Pan

    (Anhui Provincial Laboratory of New Energy Utilization and Energy Conservation, Hefei University of Technology, Hefei 230009, China)

  • Ming Ding

    (Anhui Provincial Laboratory of New Energy Utilization and Energy Conservation, Hefei University of Technology, Hefei 230009, China)

  • Rui Bi

    (Anhui Provincial Laboratory of New Energy Utilization and Energy Conservation, Hefei University of Technology, Hefei 230009, China)

  • Lei Sun

    (Anhui Provincial Laboratory of New Energy Utilization and Energy Conservation, Hefei University of Technology, Hefei 230009, China)

Abstract

With the wide application of distributed generation (DG) and the rapid development of alternating current/direct current (AC/DC) hybrid microgrids, the optimal planning of distributed generation connecting to AC/DC distribution networks/microgrids has become an urgent problem to resolve. This paper presents a collaborative planning method for distributed generation access to AC/DC distribution (micro) grids. Based on the grid structure of the AC/DC distribution network, the typical interconnection structure of the AC/DC hybrid microgrid and AC/DC distribution network is designed. The optimal allocation models of distributed power supply for the AC/DC distribution network and microgrid are established based on analytical target cascading. The power interaction between the distribution network and microgrid is used to establish a coupling relationship, and the augmented Lagrangian penalty function is used to solve the collaborative programming problem. The results of distributed power supply allocation are obtained, solving the problem so that distribution generation with different capacity levels is connected to the power grid system in a single form.

Suggested Citation

  • Hao Pan & Ming Ding & Rui Bi & Lei Sun, 2019. "Research on Cooperative Planning of Distributed Generation Access to AC/DC Distribution (Micro) Grids Based on Analytical Target Cascading," Energies, MDPI, vol. 12(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1847-:d:231373
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    References listed on IDEAS

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    1. Sung-Guk Yoon & Seok-Gu Kang, 2017. "Economic Microgrid Planning Algorithm with Electric Vehicle Charging Demands," Energies, MDPI, vol. 10(10), pages 1-16, September.
    2. Hao Pan & Ming Ding & Anwei Chen & Rui Bi & Lei Sun & Shengliang Shi, 2018. "Research on Distributed Power Capacity and Site Optimization Planning of AC/DC Hybrid Micrograms Considering Line Factors," Energies, MDPI, vol. 11(8), pages 1-18, July.
    3. Yongchun Yang & Xiaodan Wang & Jingjing Luo & Jie Duan & Yajing Gao & Hong Li & Xiangning Xiao, 2017. "Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics," Energies, MDPI, vol. 10(12), pages 1-29, December.
    4. Liyuan Gao & Yao Liu & Huisong Ren & Josep M. Guerrero, 2017. "A DC Microgrid Coordinated Control Strategy Based on Integrator Current-Sharing," Energies, MDPI, vol. 10(8), pages 1-17, August.
    5. Justo, Jackson John & Mwasilu, Francis & Lee, Ju & Jung, Jin-Woo, 2013. "AC-microgrids versus DC-microgrids with distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 387-405.
    6. Xinnan Gai & Yali Wang & Renliang Chen & Liang Zou, 2019. "Research on Hybrid Microgrid Based on Simultaneous AC and DC Distribution Network and Its Power Router," Energies, MDPI, vol. 12(6), pages 1-16, March.
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    Cited by:

    1. Gang Liang & Bing Sun & Yuan Zeng & Leijiao Ge & Yunfei Li & Yu Wang, 2022. "An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure," Energies, MDPI, vol. 15(20), pages 1-19, October.

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