An IGDT-based robust model for service restoration of distribution networks by scheduling of multiple resources
•Introducing a comprehensive service restoration approach for electrical distribution grids incorporating multiple resources, including mobile/fixed power resources and repair crew groups.•Employ a risk-averse information gap decision theory (RA-IGDT) robust optimization approach to identify a relia...
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| Vydáno v: | Electric power systems research Ročník 252; s. 112351 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier B.V
01.01.2026
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| ISSN: | 0378-7796 |
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| Abstract | •Introducing a comprehensive service restoration approach for electrical distribution grids incorporating multiple resources, including mobile/fixed power resources and repair crew groups.•Employ a risk-averse information gap decision theory (RA-IGDT) robust optimization approach to identify a reliable and secure bound for the uncertainty radius of network parameters.•Considering multiple objectives for the service restoration problem and solving it mathematically by modeling it as a mixed integer quadratically constrained program (MIQCP).
The service restoration (SR) problem has always been one of the most challenging issues in the operation of urban electrical distribution grids. In this paper, a new method is proposed to solve the SR problem. Multiple resource including mobile power sources (MPSs), local dispatchable generators and repair crews (RCs) are included in the proposed model and were scheduled simultaneously. In order to guarantee the effectiveness of the solutions, the SR problem discussed in this paper was formulated and addressed as a mixed-integer quadratically constrained programming (MIQCP) problem. Also, to handling the uncertainty related to load demand and transportation network traffic, we used an Information gap decision theory (IGDT) based model. Finally, the proposed method was tested on a 33-bus test network and its efficiency was proved. |
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| AbstractList | •Introducing a comprehensive service restoration approach for electrical distribution grids incorporating multiple resources, including mobile/fixed power resources and repair crew groups.•Employ a risk-averse information gap decision theory (RA-IGDT) robust optimization approach to identify a reliable and secure bound for the uncertainty radius of network parameters.•Considering multiple objectives for the service restoration problem and solving it mathematically by modeling it as a mixed integer quadratically constrained program (MIQCP).
The service restoration (SR) problem has always been one of the most challenging issues in the operation of urban electrical distribution grids. In this paper, a new method is proposed to solve the SR problem. Multiple resource including mobile power sources (MPSs), local dispatchable generators and repair crews (RCs) are included in the proposed model and were scheduled simultaneously. In order to guarantee the effectiveness of the solutions, the SR problem discussed in this paper was formulated and addressed as a mixed-integer quadratically constrained programming (MIQCP) problem. Also, to handling the uncertainty related to load demand and transportation network traffic, we used an Information gap decision theory (IGDT) based model. Finally, the proposed method was tested on a 33-bus test network and its efficiency was proved. |
| ArticleNumber | 112351 |
| Author | Asadi, Qasem Falaghi, Hamid Ramezani, Maryam |
| Author_xml | – sequence: 1 givenname: Qasem orcidid: 0000-0002-6711-7954 surname: Asadi fullname: Asadi, Qasem email: q.asadi@birjand.ac.ir – sequence: 2 givenname: Hamid surname: Falaghi fullname: Falaghi, Hamid – sequence: 3 givenname: Maryam orcidid: 0000-0003-3592-5778 surname: Ramezani fullname: Ramezani, Maryam |
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| Keywords | Repair crew Information gap decision theory Mobile power source Service restoration Mixed-integer quadratically constrained programming Traffic |
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