论文标题
洪水感知的最佳功率流，用于主动日事变速器变电站硬化
Flood-aware Optimal Power Flow for Proactive Day-ahead Transmission Substation Hardening
论文作者
论文摘要
电力系统组件，尤其是电代电站，可能会因洪水而严重损坏，从而导致停电延长和弹性降解。在路易斯安那州等低海拔地区，这个问题更为严重。保护性操作行动，例如在洪水之前将老虎大坝放置在变电站周围，可以减少变电站脆弱性，损坏成本和无法提供的能源，从而增强电网弹性。本文提出了一种随机混合构成编程模型，用于在使用老虎大坝洪水事件前一天保护变速箱变电站。在变电站的受保护/未保护状态方面，传输系统运营商制定了洪水感知的最佳功率流问题。该公式模型旨在识别其保护最大化电网弹性的关键变电站。拟议模型的输出是用于在变速箱变电站上安装老虎大坝的日期船员团队计划。在6个公共汽车系统上评估了所提出的模型的有效性，并获得了有希望的结果。
Power system components, particularly electrical substations, may be severely damaged due to flooding, resulting in prolonged power outages and resilience degradation. This problem is more severe in low-elevated regions such as Louisiana. Protective operational actions such as placing tiger dams around substations before flooding can reduce substation vulnerability, damage costs, and energy not supplied cost, thus enhancing power grid resilience. This paper proposes a stochastic mixed-integer programming model for protecting transmission substations one day before flood events using tiger dams. A flood-aware optimal power flow problem is formulated for transmission system operators with respect to the protected/unprotected status of substations. The formulated model aims to identify critical substations whose protection maximizes grid resilience. The output of the proposed model is a day-ahead crew team schedule for installing tiger dams on transmission substations. The effectiveness of the proposed model is evaluated on a 6-bus system, and promising results are obtained.
