Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion
This paper proposes a new method for service restoration of distribution network with the support of transportable power sources (TPSs) and repair crews (RCs). Firstly, a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed, where the TPSs serve as emergency power...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/178619 |
| _version_ | 1811691198214045696 |
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| author | Shi, Zhao Xu, Yan Xie, Dunjian Xie, Shiwei Ghias, Amer M. Y. M. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Shi, Zhao Xu, Yan Xie, Dunjian Xie, Shiwei Ghias, Amer M. Y. M. |
| author_sort | Shi, Zhao |
| collection | NTU |
| description | This paper proposes a new method for service restoration of distribution network with the support of transportable power sources (TPSs) and repair crews (RCs). Firstly, a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed, where the TPSs serve as emergency power supply sources, and the RCs are used to repair the faulted lines. Considering the uncertainty of traffic congestion, the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model, and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and RCs. To efficiently solve the proposed stochastic mixed-integer linear program (MILP), a two-phase scenario reduction method is then developed to scale down the problem size, and an adaptive progressive hedging algorithm is used for an efficient solution. The effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system. |
| first_indexed | 2024-10-01T06:16:04Z |
| format | Journal Article |
| id | ntu-10356/178619 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:16:04Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1786192024-07-05T15:39:28Z Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion Shi, Zhao Xu, Yan Xie, Dunjian Xie, Shiwei Ghias, Amer M. Y. M. School of Electrical and Electronic Engineering Energy Research Institute @ NTU (ERI@N) Engineering Service restoration Distribution network This paper proposes a new method for service restoration of distribution network with the support of transportable power sources (TPSs) and repair crews (RCs). Firstly, a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed, where the TPSs serve as emergency power supply sources, and the RCs are used to repair the faulted lines. Considering the uncertainty of traffic congestion, the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model, and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and RCs. To efficiently solve the proposed stochastic mixed-integer linear program (MILP), a two-phase scenario reduction method is then developed to scale down the problem size, and an adaptive progressive hedging algorithm is used for an efficient solution. The effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system. Published version The work was partially supported by National Natural Science Foundation of China (No. 72171026). 2024-07-01T05:34:34Z 2024-07-01T05:34:34Z 2024 Journal Article Shi, Z., Xu, Y., Xie, D., Xie, S. & Ghias, A. M. Y. M. (2024). Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion. Journal of Modern Power Systems and Clean Energy, 12(1), 189-201. https://dx.doi.org/10.35833/MPCE.2023.000012 2196-5625 https://hdl.handle.net/10356/178619 10.35833/MPCE.2023.000012 2-s2.0-85184033643 1 12 189 201 en Journal of Modern Power Systems and Clean Energy © The Authors. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Engineering Service restoration Distribution network Shi, Zhao Xu, Yan Xie, Dunjian Xie, Shiwei Ghias, Amer M. Y. M. Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title | Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title_full | Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title_fullStr | Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title_full_unstemmed | Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title_short | Optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| title_sort | optimal coordination of transportable power sources and repair crews for service restoration of distribution networks considering uncertainty of traffic congestion |
| topic | Engineering Service restoration Distribution network |
| url | https://hdl.handle.net/10356/178619 |
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