低碳低惯性电力系统交互式多维柔性调度
An Interactive Multi-Dimensional Flexibility Scheduling in Low-carbon Low-inertia Power Systems
摘要：
今天，电能在当代经济中发挥着重要而突出的作用;因此，政府应高度重视维持电能的供应。为了评估各种拓扑结构并提高电力系统的安全性，同时评估鲁棒性、可靠性和弹性可能是有用的。当存在大量可再生能源时，情况尤其如此。R3概念由这三个相互关联的特征组成，描述了电力系统发生故障的可能性、潜在的严重性以及系统从故障中恢复的速度。本文使用八个案例研究创建的IEEE 24总线RTS和彻底评估的可靠性，鲁棒性和弹性的属性，突出问题的重要性。采用序贯蒙特卡罗方法评估系统的可靠性，采用级联失效模拟评估系统的鲁棒性，采用混合整数最优化问题研究系统的恢复力。计算了与三项评估中的每一项评估相关的不同指标。强调了组合分析的重要性，因为模拟结果最终以独特的三维方式进行了可视化和统计描述。
英文摘要：
Today, electrical energy plays a significant and conspicuous role in contemporary economies; as a result, governments should place a high priority on maintaining the supply of electrical energy. In order to assess various topologies and enhance the security of power systems, it may be useful to evaluate robustness, dependability, and resilience all at once. This is particularly true when there is a significant amount of renewable energy present. The R3 concept, which consists of these three interrelated characteristics, describes the likelihood that a power system would fail, the potential severity of the repercussions, and the speed at which the system will recover from a failure. This paper uses eight case studies created from the IEEE 24-bus RTS and thoroughly assesses the properties of reliability, robustness, and resilience to highlight the significance of the issue. The sequential Monte Carlo method is used to evaluate reliability, cascade failure simulations are used to evaluate robustness, and a mixed-integer optimization problem is used to study resilience. Different indicators related to each of the three assessments are computed. The significance of the combined analysis is emphasized as the simulation findings are described visually and statistically in a unique three-dimensional manner eventually.
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