3 citations · 8 across the 14 of their papers we have counts for
11 papers · 1 filter
Economic Evaluation of V2G-Enabled Fast Charging Stations Under Endogenous EV Adoption Dynamics
Mingjian Tuo, Jie Zhou, Yao Yan +3
Building fast charging stations (FCSs) is crucial for transportation electrification, but there exists an indirect network effect: while the increasing number of electric vehicles…
Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling
Mingjian Tuo, Xingpeng Li, Pascal Van Hentenryck
TThe rapid expansion of inverter-based resources, such as wind and solar power plants, will significantly diminish the presence of conventional synchronous generators in fu-ture po…
Graph Neural Network-based Power Flow Model
Mingjian Tuo, Xingpeng Li, Tianxia Zhao
Power flow analysis plays a crucial role in examining the electricity flow within a power system network. By performing power flow calculations, the system's steady-state variables…
Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement
Mingjian Tuo, Fan Jiang, Xingpeng Li +1
Day-ahead generation scheduling is typically conducted by solv-ing security-constrained unit commitment (SCUC) problem. However, with fast-growing of inverter-based resources, grid…
Machine Learning Assisted Inertia Estimation using Ambient Measurements
Mingjian Tuo, Xingpeng Li
With the increasing penetration of converter-based renewable resources, different types of dynamics have been introduced to the power system. Due to the complexity and high order o…
Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems
Mingjian Tuo, Xingpeng Li
Conventional synchronous generators are gradually being replaced by inverter-based resources, such transition introduces more complicated operation conditions. And the reduction in…
Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems
Mingjian Tuo, Xingpeng Li
With the goal of electricity system decarbonization, conventional synchronous generators are gradually replaced by converter-interfaced renewable generations. Such transition is ca…
Long-Term Recurrent Convolutional Network-based Inertia Estimation using Ambient Measurements
Mingjian Tuo, Xingpeng Li
Conventional synchronous machines are gradually replaced by converter-based renewable resources. As a result, synchronous inertia, an important time-varying quantity, has substanti…
Optimal Allocation of Virtual Inertia Devices for Enhancing Frequency Stability in Low-Inertia PowerSystems
Mingjian Tuo, Xingpeng Li
As renewable resources gradually replace conventional generation based synchronous machines, the dynamics of the modern grid changes significantly and the system synchronous inerti…
Security-Constrained Unit Commitment Con-sidering Locational Frequency Stability in Low-Inertia Power Grids
Mingjian Tuo, Xingpeng Li
With increasing installation of wind and solar generation, conventional synchronous generators in power systems are gradually displaced resulting in a significant reduction in syst…
Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations
Mingjian Tuo, Arun Venkatesh Ramesh, Xingpeng Li
With improvement in smart grids through two-way communication, demand response (DR) has gained significant attention due to the inherent flexibility provided by shifting non-critic…