In distribution networks, N-1 contingencies are the main threats to load loss. To reduce the risk from power system threats, the energy storage (ES) can be applied to mitigate the load loss after the N-1 contingencies. However, for a given number of ESs, different location of ESs may have different mitigation results. This article first proposes a bi-level optimization model to find an optimal allocation of ESs for distribution networks, where the upper-level model is to minimize the total risk of all N-1 contingencies and the lower-level model is to compute the load loss for each contingency. Then, the proposed bilevel model is equivalently transformed into a single-level model using Karush-Kuhn-Tucker conditions. The simulation results on two test systems show the effectiveness of the proposed model.

中文翻译：

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优化主动配电网储能配置，降低 N-1 突发事件风险


在配电网中，N-1种突发事件是负载损失的主要威胁。为了降低电力系统威胁的风险，可以应用储能（ES）来减轻N-1个突发事件后的负载损失。然而，对于给定数量的ES，不同位置的ES可能有不同的缓解结果。本文首先提出了一个双层优化模型来寻找配电网ES的最佳分配，其中上层模型是最小化所有N-1意外事件的总风险，下层模型是计算负荷每个意外事件的损失。然后，使用Karush-Kuhn-Tucker条件将所提出的双层模型等效地转换为单层模型。两个测试系统的仿真结果表明了所提模型的有效性。