After a blackout, it is essential to restore the blackout area rapidly to minimize possible losses. In parallel restoration, the blackout area is first partitioned into several subsystems, which will then be restored in parallel to accelerate the restoration process. In order to ensure restoration reliability, each subsystem should have enough generation power and satisfy a set of constraints before triggering the parallel restoration process. This paper models this as a constrained optimization problem and proposes a partitioning strategy to solve it in three steps. In the first step, some existing methods and expert knowledge are used for initialization of the partitioning process. The second step ensures the satisfaction of modeled constraints. The third step operates greedily to find suitable partitions for parallel restoration. The proposed strategy is implemented and evaluated on IEEE 39- and 118-bus power systems. Evaluation results show that it provides adequate subsystems for parallel restoration. Unlike some existing partitioning strategies, the proposed strategy can be used to partition a power system into multiple subsystems in a single execution.

中文翻译：

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用于并行电力系统恢复的基于聚合集群的网络分区


停电后，必须迅速恢复停电区域，以尽量减少可能的损失。并行恢复时，首先将停电区域划分为多个子系统，然后并行恢复，以加速恢复过程。为了保证恢复的可靠性，每个子系统在触发并行恢复过程之前应该有足够的发电功率并满足一组约束。本文将其建模为一个约束优化问题，并提出了一种分区策略来分三步解决它。第一步，使用一些现有的方法和专家知识来初始化划分过程。第二步确保满足建模约束。第三步贪婪地寻找合适的分区进行并行恢复。所提出的策略在 IEEE 39 和 118 总线电力系统上实施和评估。评估结果表明，它为并行恢复提供了足够的子系统。与一些现有的分区策略不同，所提出的策略可用于在单次执行中将电力系统分区为多个子系统。