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Optimal placement of fuses and switches in active distribution networks using value-based MINLP

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  • Gholizadeh, N.
  • Hosseinian, S.H.
  • Abedi, M.
  • Nafisi, H.
  • Siano, P.

Abstract

Contingency conditions in distribution networks create financial losses for different parts of the system including electricity customers, electricity retailers, distributed generation (DG) units, etc. Therefore, protective device allocation methods have been introduced in recent years to enhance the reliability of the power system. In this study, a new formulation is proposed to find the optimal places of sectionalizing switches and fuses while taking the financial loss of both electricity customers and DG units into account. The current method has the flexibility to consider DG effect on any location of the network and its islanded operation in case of contingencies. Moreover, the uncertainty in load and renewable generation is taken into account using stochastic programming. The results demonstrate that the DG units and their financial loss can change the results of switch and fuse placement dramatically when there are no tie switches in the network. Furthermore, it is found that this method can decrease the total reliability costs by 3.86% when high penetration of DG units is introduced into a modified Roy Billinton test system (RBTS). The problem is modeled as a mixed-integer nonlinear (MINLP) formulation and is handled using BARON solver in GAMS environment.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:217:y:2022:i:c:s095183202100572x
    DOI: 10.1016/j.ress.2021.108075
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    References listed on IDEAS

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    1. Krupenev, Dmitry & Boyarkin, Denis & Iakubovskii, Dmitrii, 2020. "Improvement in the computational efficiency of a technique for assessing the reliability of electric power systems based on the Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    2. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2020. "Power flow-based approaches to assess vulnerability, reliability, and contingency of the power systems: The benefits and limitations," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    3. Koziolek, Anne & Avritzer, Alberto & Suresh, Sindhu & Menasché, Daniel S. & Diniz, Morganna & de Souza e Silva, Edmundo & Leão, Rosa M. & Trivedi, Kishor & Happe, Lucia, 2016. "Assessing survivability to support power grid investment decisions," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 30-43.
    4. Fang, Yiping & Sansavini, Giovanni, 2017. "Optimizing power system investments and resilience against attacks," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 161-173.
    5. Pombo, A. Vieira & Murta-Pina, João & Pires, V. Fernão, 2015. "Multiobjective planning of distribution networks incorporating switches and protective devices using a memetic optimization," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 101-108.
    6. Hariri, Ali-Mohammad & Hashemi-Dezaki, Hamed & A. Hejazi, Maryam, 2020. "A novel generalized analytical reliability assessment method of smart grids including renewable and non-renewable distributed generations and plug-in hybrid electric vehicles," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    7. 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).
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