论文标题
针对极端事件的微电网的弹性操作计划
Resilient Operational Planning for Microgrids Against Extreme Events
论文作者
论文摘要
本文提出了一种新颖的弹性指数，在极端事件下的微电网生存率（SR），然后提出了一种新型的弹性操作计划（ROP）算法，以最大程度地提高拟议的弹性指数SR。所提出的ROP算法可以结合预定的逆变器故障概率，并相应地生成多个方案，以在极端事件中优化弹性操作。实施的ROP算法由两个主要步骤组成：（i）优化弹性操作计划，以及（ii）如果根据步骤1的分析未满足最低SR的预防弹性增强。研究了典型的微电网（MG）以比较提议的ROP算法，以比较针对传统的Microgrid Energy Management（MEM MEM）模型。结果表明，ROP算法实现了增强的弹性操作，这是通过SR量化弹性证明的。此外，与传统MEM相比，所提出的ROP算法能够获得更大的SR总体，并且随着逆变器故障概率的增加，使用拟议的ROP的好处增加。
This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the analysis in step 1. A typical microgrid (MG) is studied to compare the proposed ROP algorithm against a traditional microgrid energy management (MEM) model. Results indicate that an enhanced resilience operation is achieved by the ROP algorithm, which is demonstrated by the quantification of resilience via the SR. Moreover, the proposed ROP algorithm is able to obtain a greater SR overall compared to that achieved by the traditional MEM, and this benefit of using the proposed ROP increases as the inverter failure probabilities increase.
