The distribution networks can convincingly break down into small-scale self-controllable areas, namely microgrids (μG), to substitute μGs arrangements for effectively coping with perturbations. This flexible structure not only could potentially possess the strength to recover quickly, but also ensures the supply of vital loads and preserves functionalities under any contingency. To燼chieve these targets, this article examines a novel spatiotemporal algorithm to split the existing network into a set of self-healing μGs. In爐his endeavor, after designing the μGs by determining a mix of heterogeneous generation resources and allocating remotely controlled switches, the μGs operational scheduling is decomposed into interconnected and islanded modes. The main intention in the grid-tied state is to maximize the μGs profit while equilibrating load and generation at the islanded state by sectionalizing on-fault area, executing resources rescheduling, network reconfiguration and load shedding when the main grid is interrupted. The proposed problem is formulated as an exact computationally efficient mixed integer linear programming problem relying on the column & constraint generation framework and an adjustable interval optimization is envisaged to make the μGs less susceptible against renewables variability. Finally, the effectiveness of the proposed model is adequately assured by performing a realistic case study.

中文翻译：

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使用可调间隔优化将配电网时空分裂为自愈弹性微电网


配电网络可以令人信服地分解为小规模的自控区域，即微电网（μG），以替代μG布置以有效应对扰动。这种灵活的结构不仅可以潜在地具有快速恢复的力量，而且可以确保重要负载的供应并在任何意外情况下保留功能。为了实现这些目标，本文研究了一种新颖的时空算法，将现有网络拆分为一组自愈 μG。在这项工作中，在通过确定异构发电资源的混合和分配远程控制开关来设计μG之后，μG的运行调度被分解为互连和孤岛模式。并网状态下的主要目的是通过划分故障区域、在主电网中断时执行资源重新调度、网络重新配置和减载，在平衡孤岛状态下的负荷和发电的同时，最大化μGs利润。所提出的问题被表述为依赖于列和约束生成框架的精确计算高效的混合整数线性规划问题，并且设想了可调整的区间优化，以使 μG 不易受到可再生能源变化的影响。最后，通过进行现实的案例研究充分保证了所提出模型的有效性。