论文标题
通过优化的停机，平衡野火风险和停电
Balancing Wildfire Risk and Power Outages through Optimized Power Shut-Offs
论文作者
论文摘要
电网断层会引起灾难性的野火，尤其是在大风和湿度低的地区。在实时操作中，电力公用事业通常几乎没有野火风险的选择，从而导致使用诸如主动脱氧设备的颠覆性措施，通常被称为公共安全电源关闭。这种关闭的关闭对客户有重大影响，他们经历了削减力量以保护他们免受火灾的影响。这项工作提出了最佳的电源关闭问题，这是一个优化模型，以支持极端野火风险的短期操作决策。具体而言，该模型优化了电网操作，以最大程度地提高可以传递的功率量，同时通过选择性地降低网格中的组件来主动最大程度地减少野火点火的风险。这是第一个考虑预防性野火风险措施如何影响野火风险\ emph {and}电源系统可靠性在短期操作时间框架上的第一个优化模型。该方法的有效性在位于南加州的RTS-GMLC测试案例的增强版本上得到了证明，并与基于简单风险阈值的两种方法进行了比较。提出的基于优化的模型降低了野火风险和相对于基准测试的损失。
Electric grid faults can cause catastrophic wildfires, particularly in regions with high winds and low humidity. In real-time operations, electric utilities are often left with few options for wildfire risk mitigation, leading to use of disruptive measures such as proactive de-energization of equipment, frequently referred to as public safety power shut-offs. Such power shut-offs have significant impacts on customers, who experience power cuts in an attempt to protect them from fires. This work proposes the optimal power shut-off problem, an optimization model to support short-term operational decision making in the context of extreme wildfire risk. Specifically, the model optimizes grid operations to maximize the amount of power that can be delivered, while proactively minimizing the risk of wildfire ignitions by selectively de-energizing components in the grid. This is the first optimization model to consider how preventive wildfire risk measures impact both wildfire risk \emph{and} power systems reliability at a short-term, operational time-frame. The effectiveness of the method is demonstrated on an augmented version of the RTS-GMLC test case, located in Southern California, and compared against two approaches based on simple risk thresholds. The proposed optimization-based model reduces both wildfire risk and lost load shed relative to the benchmarks.
