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Public Safety Power Shutoffs (PSPS) are a pre-emptive strategy to mitigate the wildfires caused by power system malfunction. System operators implement PSPS to balance wildfire mitigation efforts through de-energization of transmission…

Systems and Control · Electrical Eng. & Systems 2025-04-17 Ryan Greenough , Kohei Murakami , Jan Kleissl , Adil Khurram

Large-scale power outages caused by extreme weather events are one of the major factors weakening grid resilience. In order to prevent the critical infrastructure from cascading failure, power lines are often proactively de-energized under…

Systems and Control · Electrical Eng. & Systems 2024-05-20 Sifat Chowdhury , Yu Zhang

As wildfires in the United States are becoming more frequent and severe, mitigating wildfire ignition risk from power line faults is an increasingly crucial effort. Long-term ignition prevention strategies, especially converting overhead…

Systems and Control · Electrical Eng. & Systems 2022-04-29 Sofia Taylor , Line A. Roald

In power systems, the risk of wildfire ignition has increased significantly in recent years. The impact and severity of these events on energy dispatch, as well as their societal ramifications, make wildfire prevention critical for power…

Optimization and Control · Mathematics 2026-05-25 Tomás Tapia , Ryan Piansky , Yury Dvorkin , Jean-Paul Watson

Wildfires pose a significant threat to the safe and reliable operations of the electric grid. To mitigate wildfire risk, system operators resort to public safety power shutoffs, or PSPS, that shed load for a subset of customers. As wildfire…

Systems and Control · Electrical Eng. & Systems 2024-08-09 Yuqi Zhou , Kaarthik Sundar , Deepjyoti Deka , Hao Zhu

As climate change increases the risk of large-scale wildfires, wildfire ignitions from electric power lines are a growing concern. To mitigate the wildfire ignition risk, many electric utilities de-energize power lines to prevent electric…

Systems and Control · Electrical Eng. & Systems 2023-06-07 Sofia Taylor , Gabriela Setyawan , Bai Cui , Ahmed Zamzam , Line A. Roald

Electric utilities must make massive capital investments in the coming years to respond to explosive growth in demand, aging assets and rising threats from extreme weather. Utilities today already have rigorous frameworks for capital…

Artificial Intelligence · Computer Science 2026-04-06 Emma Benjaminson

In recent years, the frequency and intensity of grid-ignited wildfires have increased significantly, leading to an elevated level of risk exposure to public safety and financial repercussions for electric utilities threatening their…

Risk Management · Quantitative Finance 2025-02-17 Saeed Nematshahi , Amin Khodaei , Ali Arabnya

Power grid infrastructure is an increasingly significant source of wildfire ignitions and poses severe risks to communities in fire-prone regions. Public Safety Power Shutoffs (PSPS) have emerged as a critical operational tool for utilities…

Optimization and Control · Mathematics 2026-04-30 Prasanna Raut , Chaoyue Zhao , Alexandre Moreira

We develop multi-stage linear decision rules (LDRs) for dynamic power system generation and energy storage investment planning under uncertainty and propose their chance-constrained optimization with performance guarantees. First, the…

Optimization and Control · Mathematics 2023-03-14 Vladimir Dvorkin , Dharik Mallapragada , Audun Botterud

Grid-ignited wildfires are one of the most destructive catastrophic events, profoundly affecting the built and natural environments. Burying power lines is an effective solution for mitigating the risk of wildfire ignition. However, it is a…

Computational Engineering, Finance, and Science · Computer Science 2025-02-19 Saeed Nematshahi , Amin Khodaei , Ali Arabnya

Public safety power shutoffs (PSPS) are a common pre-emptive measure to reduce wildfire risk due to power system equipment. System operators use PSPS to de-energize electric grid elements that are either prone to failure or located in…

Systems and Control · Electrical Eng. & Systems 2025-04-07 Ryan Greenough , Kohei Murakami , Michael Davidson , Jan Kleissl , Adil Khurram

Modern discrete manufacturing requires real-time energy and production co-scheduling to reduce business costs. In discrete manufacturing, production lines and equipment are complex and numerous, which introduces significant uncertainty…

Systems and Control · Electrical Eng. & Systems 2024-11-12 Yiyuan Pan , Zhaojian Wang

The type of decision dependent uncertainties (DDUs) imposes a great challenge in decision making, while existing methodologies are not sufficient to support many real practices. In this paper, we present a systematic study to handle this…

Optimization and Control · Mathematics 2022-03-31 Bo Zeng , Wei Wang

Defense hardening can effectively enhance the resilience of distribution networks against extreme weather disasters. Currently, most existing hardening strategies focus on reducing load shedding. However, for electricity-hydrogen…

Systems and Control · Electrical Eng. & Systems 2024-10-29 Sicheng Liu , Bo Yang , Xin Li , Xu Yang , Zhaojian Wang , Dafeng Zhu , Xinping Guan

This paper studies the robust co-planning of proactive network hardening and mobile hydrogen energy resources (MHERs) scheduling, which is to enhance the resilience of power distribution network (PDN) against the disastrous events. A…

Systems and Control · Electrical Eng. & Systems 2025-03-18 Donglai Ma , Xiaoyu Cao , Bo Zeng , Chen Chen , Qiaozhu Zhai , Qing-Shan Jia , Xiaohong Guan

This paper examines the use of risk models to predict the timing and location of wildfires caused by electricity infrastructure. Our data include historical ignition and wire-down points triggered by grid infrastructure collected between…

Systems and Control · Electrical Eng. & Systems 2022-09-28 Mengqi Yao , Meghana Bharadwaj , Zheng Zhang , Baihong Jin , Duncan S. Callaway

Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction from Earth observation data, current approaches lack…

Machine Learning · Computer Science 2025-10-14 Aditya Chakravarty

The variability caused by the proliferation of distributed energy resources (DERs) and the significant growth in unbalanced three-phase loads pose unprecedented challenges to distribution network operations. This paper focuses on how a…

Systems and Control · Electrical Eng. & Systems 2023-08-31 Zelong Lu , Jianxue Wang , Mohammad Shahidehpour , Linquan Bai , Zuyi Li , Lei Yan , Xianlong Chen

Renewable energy productions and electrification of mobility are promising solutions to reduce greenhouse gas emissions. Their effective integration in a power grid encounters several challenges. The uncertain nature of renewable energy…

Systems and Control · Electrical Eng. & Systems 2023-01-11 Manijeh Alipour , Omid Alizadeh-Mousavi