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Hierarchical collaborative expansion planning for transmission and distribution networks considering transmission cost allocation

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  • Zhong, Haiwang
  • Zhang, Guanglun
  • Tan, Zhenfei
  • Ruan, Guangchun
  • Wang, Xuan

Abstract

Expansion planning for transmission networks and distribution networks has been widely investigated. For those entities that manage transmission and distribution assets, it is essential to develop a collaborative plan for both networks under coupling constraints, such as a total budget limitation constraint. Here, two technical issues should be considered: the high complexity of the integrated planning model due to the coupling of transmission and distribution networks and the inefficient allocation of the transmission cost (which is a major part of the total fixed cost of power systems). Based on an equivalent model of distribution network expansion planning proposed in our previous work, this paper designs a hierarchical collaborative expansion planning framework for transmission and distribution networks that efficiently allocates the transmission cost. Formulations of a conventional integrated model and the proposed hierarchical model are compared to show how the equivalent model of the distribution network can reduce the model’s complexity. Case studies conducted on both a small-scale case (Garver’s 6-bus system) and a large-scale case (IEEE 118-Bus system) demonstrate the effectiveness of the proposed framework by approximately decomposing the complex integrated planning model into several small-scale tractable models with high accuracy. Case studies also indicate that considering the transmission cost allocation in the electricity prices during collaborative expansion planning will decrease the total planning and operating costs.

Suggested Citation

  • Zhong, Haiwang & Zhang, Guanglun & Tan, Zhenfei & Ruan, Guangchun & Wang, Xuan, 2022. "Hierarchical collaborative expansion planning for transmission and distribution networks considering transmission cost allocation," Applied Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:appene:v:307:y:2022:i:c:s0306261921014227
    DOI: 10.1016/j.apenergy.2021.118147
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    References listed on IDEAS

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    1. Lin, Yanling & Bie, Zhaohong, 2018. "Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding," Applied Energy, Elsevier, vol. 210(C), pages 1266-1279.
    2. Moradijoz, M. & Moghaddam, M. Parsa & Haghifam, M.R., 2018. "A flexible active distribution system expansion planning model: A risk-based approach," Energy, Elsevier, vol. 145(C), pages 442-457.
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    Cited by:

    1. Zhang, Tao & Mu, Yunfei & Dong, Lei & Jia, Hongjie & Pu, Tianjiao & Wang, Xinying, 2023. "Fully parallel decentralized load restoration in coupled transmission and distribution system with soft open points," Applied Energy, Elsevier, vol. 349(C).
    2. Hui, Hongxun & Chen, Yulin & Yang, Shaohua & Zhang, Hongcai & Jiang, Tao, 2022. "Coordination control of distributed generators and load resources for frequency restoration in isolated urban microgrids," Applied Energy, Elsevier, vol. 327(C).
    3. Xueyang Zhang & Shengjun Huang & Qingxia Li & Rui Wang & Tao Zhang & Bo Guo, 2024. "Nodal Invulnerability Recovery Considering Power Generation Balance: A Bi-Objective Robust Optimization Framework," Mathematics, MDPI, vol. 12(12), pages 1-19, June.
    4. Yin, Xin & Chen, Haoyong & Liang, Zipeng & Zhu, Yanjin, 2023. "A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration," Applied Energy, Elsevier, vol. 351(C).

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