Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Security-constrained unit commitment (SCUC) is a computationally complex process utilized
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …
in power system day-ahead scheduling and market clearing. SCUC is run daily and requires …
Feasibility layer aided machine learning approach for day-ahead operations
Day-ahead operation involves a complex and computationally intensive optimization
process to determine the generator commitment schedule and dispatch. The optimization …
process to determine the generator commitment schedule and dispatch. The optimization …
An accelerated-decomposition approach for security-constrained unit commitment with corrective network reconfiguration
Security-constrained unit commitment (SCUC) model is used for power system day-ahead
scheduling. However, current SCUC model uses a static network to deliver power and meet …
scheduling. However, current SCUC model uses a static network to deliver power and meet …
The benefits of hydrogen energy transmission and conversion systems to the renewable power grids: Day-ahead unit commitment
The curtailment of renewable energy is more frequently observed as the renewable
penetration levels are rising rapidly in modern power systems. It is a waste of free and green …
penetration levels are rising rapidly in modern power systems. It is a waste of free and green …
Improving the flexibility of power systems using transportable battery, transmission switching, demand response, and flexible ram** product market in the presence …
A Shoferpour, A Karimi - IET Renewable Power Generation, 2023 - Wiley Online Library
With the increasing demand for electricity and the significant growth of renewable energy
sources (RES), especially wind power, the need for new services to increase system …
sources (RES), especially wind power, the need for new services to increase system …
Stochastic optimal power flow with network reconfiguration: Congestion management and facilitating grid integration of renewables
There has been a significant growth of variable renewable generation in the power grid
today. However, the industry still uses deterministic optimization to model and solve the …
today. However, the industry still uses deterministic optimization to model and solve the …
Machine learning assisted model reduction for security-constrained unit commitment
Security-constrained unit commitment (SCUC) is solved for power system day-ahead
generation scheduling, which is a large-scale mixed-integer linear programming problem …
generation scheduling, which is a large-scale mixed-integer linear programming problem …
Reducing congestion-induced renewable curtailment with corrective network reconfiguration in day-ahead scheduling
Renewable energy sources (RES) has gained a lot of interest recently. The limited
transmission capacity serving RES often leads to network congestion since they are located …
transmission capacity serving RES often leads to network congestion since they are located …
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
T Pham, X Li - arxiv preprint arxiv:2410.17460, 2024 - arxiv.org
Optimal power flow (OPF) has been used for real-time grid operations. Prior efforts
demonstrated that utilizing flexibility from dynamic topologies will improve grid efficiency …
demonstrated that utilizing flexibility from dynamic topologies will improve grid efficiency …
Network reconfiguration impact on renewable energy system and energy storage system in day-ahead scheduling
Renewable energy sources (RES) has gained significant interest in recent years. However,
due to favorable weather conditions, the RES is installed in remote locations with limited …
due to favorable weather conditions, the RES is installed in remote locations with limited …