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A Multi-Stage Framework for Resilience Enhancement of Active Networks through Prepositioning of Crew Teams and Mobile Emergency Unit
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Seyed Mohammad Amin Hashemifar   , , Mahmood Joorabian * , Mohammad Sadegh Javadi |
| Electrical Department, Faculty of Electrical Engineering, Ahvaz Shahid Chamran University, Ahvaz, Iran |
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Abstract: (109 Views) |
In recent years, the rate of natural disasters has increased significantly due to global warming. One of the most frequent natural disasters is the storm that threatens the security of distribution systems and in many cases leads to major outages in the network. Preventive measures in case of any disturbance and production planning in the post-event phase are two important measures to deal with emergencies.
Therefore, this paper presents a framework for increasing the flexibility of the distribution system, where, in addition to preventive measures, production scheduling is performed with the possibility of network reconfiguration. The proposed framework is modeled as a three-stage optimization problem, where photovoltaic panels (PV), electric energy storage systems (EES), and load priority are considered. In the first step, the optimal placement of the remote control switches is performed to minimize the expected energy not served (EENS). It should be noted that in addition to automatic switches, the network is equipped with manual switches (on-site control). In the second stage, the prepositioning of crew teams (to alter the status of manual switches) is performed. Finally, in the third stage, repairs are done after the incident. The proposed model is implemented on a 69-bus distribution system. The results demonstrate that the dynamic topology and MEGs have reduced 10.04% and 64.05% of the forced load shedding, respectively. Also, the results confirm that implementing the direct load control (DLC) program has led to a 10.34% reduction in forced load shedding at the critical loads.
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| Keywords: Distribution Feeder Reconfiguration, Mobile Emergency Generators, Crew Teams Allocation, Electrical Energy Storage, Direct Load Control, Fragility Function |
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Full-Text [PDF 1847 kb]
(74 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/10/24 | Accepted: 2024/01/5 | Published: 2024/02/29
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