47 citations · 204 across the 71 of their papers we have counts for
19 papers · 1 filter
Power and Hydrogen Hybrid Transmission for Renewable Energy Systems: An Integrated Expansion Planning Strategy
Jin Lu, Xingpeng Li
The increasing interest in hydrogen as a clean energy source has led to extensive research into its transmission, storage, and integration with bulk power systems. With the evoluti…
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,…
Decentralized Micro Water-Energy Co-Optimization for Small Communities
Jesus Silva-Rodriguez, Xingpeng Li
The water-energy nexus encompasses the interdependencies between water and energy resources identifying the existing links between the production and distribution of these resource…
Transmission Expansion Planning for Renewable-energy-dominated Power Grids Considering Climate Impact
Jin Lu, Xingpeng Li
As renewable energy is becoming the major resource in future grids, the weather and climate can have a higher impact on grid reliability. Transmission expansion planning (TEP) has…
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization: Optimal Day-Ahead Energy Scheduling
Cunzhi Zhao, Fan Jiang, Xingpeng Li
Recently, neural networks have been widely applied in the power system area. They can be used for better predicting input information and modeling system performance with increased…
Optimal Power Scheduling for High Renewables-Integrated Energy Systems with Battery Storage
Cunzhi Zhao, Xingpeng Li
In high renewables-integrated power systems, irrespective to their sizes, energy storage is commonly included and utilized to mitigate fluctuations from both the load and renewable…
Evaluation of Battery Energy Storage System to Provide Virtual Transmission Service
Qiushi Wang, Xingpeng Li
An immediate need in the transmission system is to find alternative solutions that improve system operation and defer the need for new transmission lines. This study comprehensivel…
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…
Optimal Sizing of On-site Renewable Resources for Offshore Microgrids
Ann Mary Toms, Xingpeng Li, Kaushik Rajashekara
The offshore oil and natural gas platforms, mostly powered by diesel or gas generators, consume approximately 16TWh of electricity worldwide per year, which emits large amount of C…
Optimal Dynamic Reconfiguration of Distribution Networks
Rida Fatima, Hassan Zahid Butt, Xingpeng Li
The aim of distribution networks is to meet their local area power demand with maximum reliability. As the electricity consumption tends to increase every year, limited line therma…
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…
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment
Arun Venkatesh Ramesh, Xingpeng Li
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 s…
Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM
Jesus Silva-Rodriguez, Xingpeng Li
This paper proposes a decentralized energy management (DEM) strategy for a network of local microgrids, providing economically balanced energy schedules for all participating micro…
Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile
Cunzhi Zhao, Xingpeng Li
Batteries can effectively improve the security of energy systems and mitigate climate change by facilitating wind and solar power. The installed capacity of battery energy storage…
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
Bharat Bohara, Raymond I. Fernandez, Vysali Gollapudi +1
Higher penetration of renewable and smart home technologies at the residential level challenges grid stability as utility-customer interactions add complexity to power system opera…
A Synthetic Texas Power System with Time-Series Weather-Dependent Spatiotemporal Profiles
Jin Lu, Xingpeng Li, Hongyi Li +5
We developed a synthetic Texas 123-bus backbone transmission system (TX-123BT) with spatio-temporally correlated grid profiles of solar power, wind power, dynamic line ratings and…
Cost-benefit Analysis And Comparisons For Different Offshore Wind Energy Transmission Systems
Jesus Silva-Rodriguez, Jin Lu, Xingpeng Li
This paper investigates how to efficiently and economically deliver offshore energy generated by offshore wind turbines to onshore. Both power cables and hydrogen energy facilities…
Microgrid Optimal Energy Scheduling with Risk Analysis
Ali Siddique, Cunzhi Zhao, Xingpeng Li
Risk analysis is currently not quantified in microgrid resource scheduling optimization. This paper conducts a conditional value at risk (cVaR) analysis on a grid-disconnected resi…