no code implementations • 12 Oct 2023 • Chenxi Hu, Yujia Li, Yunhe Hou
To bridge these gaps, we proposed a two-stage risk-informed decision-dependent resilience planning (RIDDRP) for transmission systems against ice storms.
no code implementations • 11 Oct 2023 • Yujia Li, Feng Qiu, Yixuan Chen, Yunhe Hou
When deploying fast charging stations (FCSs) to support long-distance trips of electric vehicles (EVs), there exist indirect network effects: while the gradual diffusion of EVs directly influences the timing and capacities of FCS allocation, the decisions for FCS allocations, in turn, impact the drivers' willingness to adopt EVs.
no code implementations • 15 Feb 2023 • Jiazuo Hou, Fei Teng, Wenqian Yin, Yue Song, Yunhe Hou
With any given cyber-defense resource, this paper proposes a preventive-corrective cyber-defense strategy, which minimizes the FDI attack-induced region in a preventive manner, followed by maximizing the cybersecurity margin in a corrective manner.
no code implementations • 4 Feb 2023 • Jun Wang, Yue Song, David John Hill, Yunhe Hou, Feilong Fan
To figure out the stability issues brought by renewable energy sources (RES) with non-Gaussian uncertainties in isolated microgrids, this paper proposes a chance constrained stability constrained optimal power flow (CC-SC-OPF) model.
no code implementations • 20 Sep 2022 • Qinfei Long, Junhong Liu, Chenhao Ren, Wenqian Yin, Feng Liu, Yunhe Hou
From the perspectives of service life and Braess paradox, it is important and challenging to jointly optimize the DTR placement and operation schedule for changing system state, which is a two-stage combinatorial problem with only discrete variables, suffering from no approximation guarantee and dimension curse only based on traditional models.
no code implementations • 2 Jul 2022 • Yujia Li, Shunbo Lei, Wei Sun, Chenxi Hu, Yunhe Hou
When performing the resilience enhancement for distribution networks, there are two obstacles to reliably model the uncertain contingencies: 1) decision-dependent uncertainty (DDU) due to various line hardening decisions, and 2) distributional ambiguity due to limited outage information during extreme weather events (EWEs).
no code implementations • 16 Sep 2021 • Xiaoting Wang, Rong-Peng Liu, Xiaozhe Wang, Yunhe Hou, François Bouffard
This letter proposes a data-driven sparse polynomial chaos expansion-based surrogate model for the stochastic economic dispatch problem considering uncertainty from wind power.