3 citations · 8 across the 14 of their papers we have counts for
14 papers
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…
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting
Jonathan Yang, Mingjian Tuo, Jin Lu +1
Accurate load forecasting is critical for efficient and reliable operations of the electric power system. A large part of electricity consumption is affected by weather conditions,…
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…
Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model
Vasudharini Sridharan, Mingjian Tuo, Xingpeng Li
Electricity price is a key factor affecting the decision-making for all market participants. Accurate forecasting of electricity prices is very important and is also very challengi…
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…
Dynamic Estimation of Power System Inertia Distribution Using Synchrophasor Measurements
Mingjian Tuo, Xingpeng Li
Integration of intermittent renewable energy sources in modern power systems is increasing very fast. Replacement of synchronous generators with zero-to-low variable renewables sub…
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…