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20232026
most citedMulti-period Power System Risk Minimization under Wildfire Disruptions

4 citations · 5 across the 5 of their papers we have counts for

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5 papers

math.OC2026

Contextual Distributionally Robust Chance-Constrained Programs: Exact Reformulations and Valid Inequalities

Hanbin Yang, Nan Jiang, Guodong Lyu

We study a contextual distributionally robust chance-constrained programming (C-DRCCP) model that controls violation probabilities conditional on a neighborhood of a target context…

math.OC2025

FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty

Yihong Zhou, Hanbin Yang, Thomas Morstyn

This paper proposes a Faster Inner Convex Approximation (FICA) method for solving power system dispatch problems with Wasserstein distributionally robust joint chance constraints (…

math.OC2024★ 1 cited

Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity

Yihong Zhou, Yuxin Xia, Hanbin Yang +1

Many real-world decision-making problems have uncertain parameters in constraints. Wasserstein distributionally robust joint chance constraints (WDRJCC) offer a promising solution…

math.OC2023

Multistage Stochastic Program for Mitigating Power System Risks under Wildfire Disruptions

Hanbin Yang, Noah Rhodes, Haoxiang Yang +2

The frequency of wildfire disasters has surged five-fold in the past 50 years due to climate change. Preemptive de-energization is a potent strategy to mitigate wildfire risks but…

math.OC2023★ 4 cited

Multi-period Power System Risk Minimization under Wildfire Disruptions

Hanbin Yang, Noah Rhodes, Haoxiang Yang +2

Natural wildfire becomes increasingly frequent as climate change evolves, posing a growing threat to power systems, while grid failures simultaneously fuel the most destructive wil…