- Title
- Resiliency-oriented operation of distribution networks under unexpected wildfires using multi-horizon information-gap decision theory
- Creator
- Izadi, Mehdi; Hossein Hosseinian, Seyed; Dehghan, Shahab; Fakharian, Ahmad; Amjady, Nima
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/194419
- Identifier
- vital:18354
- Identifier
-
https://doi.org/10.1016/j.apenergy.2022.120536
- Identifier
- ISSN:0306-2619 (ISSN)
- Abstract
- Extreme events may trigger cascading outages of different components in power systems and cause a substantial loss of load. Forest wildfires, as a common type of extreme events, may damage transmission/distribution lines across the forest and disconnect a large number of consumers from the electric network. Hence, this paper presents a robust scheduling model based on the notion of information-gap decision theory (IGDT) to enhance the resilience of a distribution network exposed to wildfires. Since the thermal rating of a transmission/distribution line is a function of its temperature and current, it is assumed that the tie-line connecting the distribution network to the main grid is equipped with a dynamic thermal rating (DTR) system aiming at accurately evaluating the impact of a wildfire on the ampacity of the tie-line. The proposed approach as a multi-horizon IGDT-based optimization problem finds a robust operation plan protected against the uncertainty of wind power, solar power, load, and ampacity of tie-lines under a specific uncertainty budget (UB). Since all uncertain parameters compete to maximize their robust regions under a specific uncertainty budget, the proposed multi-horizon IGDT-based model is solved by the augmented normalized normal constraint (ANNC) method as an effective multi-objective optimization approach. Moreover, a posteriori out-of-sample analysis is used to find (i) the best solution among the set of Pareto optimal solutions obtained from the ANNC method given a specific uncertainty budget, and (ii) the best resiliency level by varying the uncertainty budget and finding the optimal uncertainty budget. The proposed approach is tested on a 33-bus distribution network under different circumstances. The case study under different conditions verifies the effectiveness of the proposed operation planning model to enhance the resilience of a distribution network under a close wildfire. © 2022 The Author(s)
- Publisher
- Elsevier Ltd
- Relation
- Applied Energy Vol. 334, no. (2023), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- https://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2022 The Author(s)
- Rights
- Open Access
- Subject
- 33 Built environment and design; 38 Economics; 40 Engineering; Distribution Network Resilient Operation (DNRO); Dynamic Thermal Rating (DTR); Information Gap-Decision Theory (IGDT); Wildfire
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