Machine learning for power outage prediction during hurricanes: An extensive review
The surge of machine learning (ML) applications and increasing usage of data driven
approach for resilience enhancement provide great opportunities for applying ML …
approach for resilience enhancement provide great opportunities for applying ML …
Power system resilience to floods: Modeling, impact assessment, and mid-term mitigation strategies
This article presents a methodology aimed at improving mid-term power system resilience at
transmission substations in areas potentially affected by floods, combining hardening …
transmission substations in areas potentially affected by floods, combining hardening …
Resiliency-oriented planning of transmission systems and distributed energy resources
H Ranjbar, SH Hosseini… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper presents a two-stage stochastic planning model for transmission systems and
distributed energy resources (DERs) considering power system resiliency. The model takes …
distributed energy resources (DERs) considering power system resiliency. The model takes …
A flexibility-based multi-objective model for contingency-constrained transmission expansion planning incorporating large-scale hydrogen/compressed-air energy …
R Artis, M Shivaie, PD Weinsier - Journal of Energy Storage, 2023 - Elsevier
The remarkable arrival of uncertainties given by the fluctuations in the output of renewable
energy sources (RESs) calls for a more flexible power grid. In confronting this issue, large …
energy sources (RESs) calls for a more flexible power grid. In confronting this issue, large …
Long term transmission expansion planning to improve power system resilience against cascading outages
Abstract A Transmission Expansion Planning (TEP) problem is proposed to find the optimal
configuration of the transmission network with considering security and resilience …
configuration of the transmission network with considering security and resilience …
Resilience-oriented transmission expansion planning with optimal transmission switching under typhoon weather
Y Yuan, H Zhang, H Cheng… - CSEE Journal of Power …, 2022 - ieeexplore.ieee.org
This paper presents resilience-oriented transmission expansion planning (RTEP) with
optimal transmission switching (OTS) model under typhoon weather. The proposed model …
optimal transmission switching (OTS) model under typhoon weather. The proposed model …
A review of the development of resilient highway energy system coping with climate
J Ma, H Xu, P Cheng, L Jia - 2021 IEEE 2nd China International …, 2021 - ieeexplore.ieee.org
Energy and transportation are important guarantees for the improvement of production, life
and economy. Highway energy system formed by the integrated development of energy and …
and economy. Highway energy system formed by the integrated development of energy and …
Resilience-oriented hardening and expansion planning of transmission system under hurricane impact
J Zhou, H Zhang, H Cheng, S Zhang… - CSEE Journal of …, 2024 - ieeexplore.ieee.org
In this paper, we propose a two-stage transmission hardening and planning (TH&P) model
that can meet the load growth demand of normal scenarios and the resilience requirements …
that can meet the load growth demand of normal scenarios and the resilience requirements …
Robust security constrained energy and regulation service bidding strategy for a virtual power plant
In addition to the renewable energy sources and market prices uncertainties, the regulation
commands issued by the superior market operator are unpredictable factors within the …
commands issued by the superior market operator are unpredictable factors within the …
A two‐stage simulation‐based framework for optimal resilient generation and transmission expansion planning
MG Firoozjaee… - IET Generation …, 2022 - Wiley Online Library
This paper presents a two‐stage resilient framework for generation and transmission
expansion planning that profits static and dynamic models. The first stage problem finds the …
expansion planning that profits static and dynamic models. The first stage problem finds the …