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Flexibility enhancement in active distribution networks through a risk-based optimal placement of sectionalizing switches

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  • Moradijoz, Mahnaz
  • Moradijoz, Saeed
  • Moghaddam, Mohsen Parsa
  • Haghifam, Mahmoud-Reza

Abstract

The advent of distributed energy resources (DERs) in distribution networks, referred to as active distribution networks (ADNs), brings in new opportunities for distribution network operators (DNOs) to improve the network reliability. The contribution of DERs in reliability enhancement generally depends on the island mode operation of DERs. Optimal placement of sectionalizing switches (SSs) enables ADNs to be operated more reliably by islanding the faulted part of the system in the form of flexible micro-grids (FMGs). However, practical methods are needed to handle the complex problem of the SS placement in ADNs. This paper presents a risk-based two-stage mixed-integer linear programming (MILP) model for the optimal placement of the network-driven flexibility providers, i.e. SSs, in ADNs taking into account the limits of the resource-driven flexibility providers, i.e. DERs. The performance of the proposed model is evaluated on various test distribution networks, and its effectiveness demonstrated through several case studies.

Suggested Citation

  • Moradijoz, Mahnaz & Moradijoz, Saeed & Moghaddam, Mohsen Parsa & Haghifam, Mahmoud-Reza, 2020. "Flexibility enhancement in active distribution networks through a risk-based optimal placement of sectionalizing switches," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:reensy:v:201:y:2020:i:c:s0951832020304865
    DOI: 10.1016/j.ress.2020.106985
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    References listed on IDEAS

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    1. 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.
    2. Ahmadigorji, Masoud & Amjady, Nima, 2016. "A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm," Energy, Elsevier, vol. 102(C), pages 199-215.
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    Cited by:

    1. Venkateswaran V, Balaji & Saini, Devender Kumar & Sharma, Madhu, 2021. "Techno-economic hardening strategies to enhance distribution system resilience against earthquake," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    2. Fayyazi, Saeed & Azad-Farsani, Ehsan & Haghighi, Ali Asghar, 2024. "Resilience-oriented sectionalizing and tie switches sitting in distribution networks with complex topologies," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    3. Venkatasubramanian, Balaji V. & Panteli, Mathaios, 2023. "Power system resilience during 2001–2022: A bibliometric and correlation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    4. Gholizadeh, N. & Hosseinian, S.H. & Abedi, M. & Nafisi, H. & Siano, P., 2022. "Optimal placement of fuses and switches in active distribution networks using value-based MINLP," Reliability Engineering and System Safety, Elsevier, vol. 217(C).

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