On the Use of Mobile Power Sources in Distribution Networks Under Endogenous Uncertainty
On the Use of Mobile Power Sources in Distribution Networks Under Endogenous Uncertainty
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DOI：
10.1109/tcns.2023.3256278
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发表时间：
2023-12
影响因子：
4.2
通讯作者：
Jinshun Su;D. Anokhin;P. Dehghanian;M. Lejeune
中科院分区：
文献类型：
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作者：
Jinshun Su;D. Anokhin;P. Dehghanian;M. Lejeune
移动的电源（MPS）在配电系统（DS）的时空灵活性交换中具有很好的潜力。它们可以被战略性地用于增强网络在面对高影响低概率（HILP）事件时的弹性。本文提出了一种新的服务恢复制定模型，并占在MPS路由和调度决策的内生不确定性。建议的恢复模型制定为一个混合整数非线性规划（MINLP）问题的非凸连续松弛。我们推导出计算上易于处理的线性化程序重新制定的MINLP模型作为一个等价的混合整数线性规划（MILP）问题。对IEEE 33节点和123节点测试系统的案例研究表明，将内生的不确定性在决策过程中的作用和所提出的恢复方案的有效性，在提高DS的弹性。
Mobile power sources (MPSs) have promising potential for spatiotemporal flexibility exchange in power distribution systems (DS). They can be strategically employed to enhance the network resilience when facing the aftermath of high-impact low-probability (HILP) events. This article proposes a novel service restoration formulation that models and accounts for the endogenous uncertainty in the MPSs routing and scheduling decision making. The proposed restoration model is formulated as a mixed-integer nonlinear programming (MINLP) problem with nonconvex continuous relaxation. We derive computationally tractable linearization procedures to reformulate the MINLP model as an equivalent mixed-integer linear programming (MILP) problem. Case studies on the IEEE 33-node and 123-node test systems demonstrate the role of incorporating endogenous uncertainties in the decision-making process and the effectiveness of the proposed restoration scheme in boosting the DS resilience.