Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization
Sharing the Load: Considering Fairness in De-energization Scheduling to Mitigate Wildfire Ignition Risk using Rolling Optimization
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DOI：
10.1109/cdc51059.2022.9993295
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发表时间：
2022-04
期刊：
影响因子：
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通讯作者：
A. Kody;Amanda M. West;D. Molzahn
中科院分区：
文献类型：
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作者：
A. Kody;Amanda M. West;D. Molzahn
野火是对公共安全的威胁，由于气候变化，野火的频率和严重程度都有所增加。为了减轻野火点火风险，电力系统运营商在“公共安全断电”（PSPS）事件期间主动地对高风险电力线路断电。线路断电会导致社区断电，这可能会对经济、健康和安全造成负面影响。此外，同一社区在野火季节可能会反复经历断电，这加剧了这些负面影响。然而，可能有许多电线组合，其断电将导致全系统野火风险的降低大致相同，但相关的停电影响不同的社区。因此，人们可能会对解除制裁决定的公平性表示关切。因此，本文提出了一个框架来选择线路去能，以平衡野火风险降低，总减载，和公平的考虑。该框架的目标是防止一小部分社区受到PSPS事件的不利影响，而是更平等地分担停电的负担。对于美国西南部的地理定位测试案例，我们使用实际的加州需求数据以及真实的野火风险预测来模拟2021年野火季节的PSPS事件，并比较各种方法的性能，以促进公平性。我们的研究结果表明，所提出的配方可以提供显着更公平的结果，对系统范围内的性能的影响有限。
Wildfires are a threat to public safety and have increased in both frequency and severity due to climate change. To mitigate wildfire ignition risks, electric power system operators proactively de-energize high-risk power lines during "public safety power shut-off" (PSPS) events. Line de-energizations can cause communities to lose power, which may result in negative economic, health, and safety impacts. Furthermore, the same communities may repeatedly experience power shutoffs over the course of a wildfire season, which compounds these negative impacts. However, there may be many combinations of power lines whose de-energization will result in about the same reduction of system-wide wildfire risk, but the associated power outages affect different communities. Therefore, one may raise concerns regarding the fairness of de-energization decisions. Accordingly, this paper proposes a framework to select lines to de-energize in order to balance wildfire risk reduction, total load shedding, and fairness considerations. The goal of the framework is to prevent a small fraction of communities from disproportionally being impacted by PSPS events, and to instead more equally share the burden of power outages. For a geolocated test case in the southwestern United States, we use actual California demand data as well as real wildfire risk forecasts to simulate PSPS events during the 2021 wildfire season and compare the performance of various methods for promoting fairness. Our results demonstrate that the proposed formulation can provide significantly more fair outcomes with limited impacts on system-wide performance.