Pre-Disaster Allocation of Mobile Renewable-Powered Resilience-Delivery Sources in Power Distribution Networks
Pre-Disaster Allocation of Mobile Renewable-Powered Resilience-Delivery Sources in Power Distribution Networks
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DOI：
10.1109/naps58826.2023.10318581
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发表时间：
2023-10
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通讯作者：
Jinshun Su;Ruotan Zhang;P. Dehghanian;Mohammad Heidari Kapourchali
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作者：
Jinshun Su;Ruotan Zhang;P. Dehghanian;Mohammad Heidari Kapourchali
与固定式风力涡轮机不同，移动风力涡轮机（MWTs）可以通过卡车沿着当地交通系统（TS）运行，为微电网（mg）、住宅建筑和关键基础设施供电。这种时空灵活性可以提供显著的好处，包括在高影响低概率（HILP）事件发生后增强系统的恢复能力。但是，这种资源的潜力目前尚未得到开发，因此需要改进利用。为了弥补这一研究空白，本文提出了一种优化方案，对mwt进行战略预定位，以增强mwt在面对极端事件时的弹性。考虑到主干道上的运行时间和预测风能对恢复过程中停电的持续时间和程度有重要影响，引入了基于场景的随机混合整数线性规划（MILP）模型，将主干道上的道路状况、主干道上的电力线故障和风能预测等不确定性因素考虑在内。对综合交通和能源网络的案例研究——阿拉巴马州中部州际交通网络和两个IEEE 33节点测试电力系统——证明了拟议的预定位方案在提高MGs恢复能力方面的有效性。
Unlike stationary wind turbines, mobile wind turbines (MWTs) can travel along the local transportation system (TS) via a truck, supplying power to microgrids (MGs), residential buildings, and critical infrastructure. This spatiotemporal flexibility can provide significant benefits, including enhancing system resilience in the aftermath of high-impact low-probability (HILP) incidents. However, the potential of such resources is currently untapped, calling for improved utilization. To address this research gap, this paper proposes an optimal scheme for strategically pre-positioning MWTs to enhance the resilience of MGs when facing extreme events. Considering that the MWTs travel time on the TS and the predicted wind energy have a significant impact on the duration and magnitude of power outages during the restoration process, a scenario-based stochastic mixed-integer linear programming (MILP) model is introduced to incorporate uncertainties related to the road status in the TS, power line faults in MGs, and wind energy forecasts. Case studies on an integrated transportation and energy network — a central Alabama interstate transportation network and two IEEE 33-node test power systems — demonstrate the effectiveness of the proposed pre-positioning scheme in boosting MGs resilience.