163 citations · 534 across the 25 of their papers we have counts for
28 papers
Scheduling Electricity Production Units to Mitigate Severe Weather Impact: An Efficient Computational Implementation
Yongzheng Dai, Antonio J. Conejo, Feng Qiu
Extreme weather events in electric power systems can cause line trips or physical damage to transmission infrastructure, potentially leading to large-scale load shedding. To mitiga…
A Heterogeneous Multiscale Method for Power System Simulation Considering Electromagnetic Transients
Kaiyang Huang, Min Xiong, Yang Liu +2
Traditional dynamic security assessment faces challenges as power systems are experiencing a transformation to inverter-based-resource (IBR) dominated systems, for which electromag…
Ensuring Transient Stability with Guaranteed Region of Attraction in DC Microgrids
Jianzhe Liu, Yichen Zhang, Antonio J. Conejo +1
DC microgrids have promising applications in renewable integration due to their better energy efficiency when connecting DC components. However, they might be unstable since many l…
Repair Crew Routing for Power Distribution Network Restoration
Bahar Çavdar, Qie He, Feng Qiu
As extreme weather events become more frequent and disruptive, service restoration is increasingly important for many infrastructures, e.g., power grids and communication networks.…
Parallel Power System Restoration
Sunil Chopra, Feng Qiu, Sangho Shim
Power system restoration is an essential activity for grid resilience, where grid operators restart generators, re-establish transmission paths, and restore loads after a blackout…
Contingency Analysis Based on Partitioned and Parallel Holomorphic Embedding
Rui Yao, Feng Qiu, Kai Sun
In the steady-state contingency analysis, the traditional Newton-Raphson method suffers from non-convergence issues when solving post-outage power flow problems, which hinders the…
Hybrid QSS and Dynamic Extended-Term Simulation Based on Holomorphic Embedding
Rui Yao, Feng Qiu
Power system simulations that extend over a time period of minutes, hours, or even longer are called extended-term simulations. As power systems evolve into complex systems with in…
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
Yichen Zhang, Hantao Cui, Jianzhe Liu +4
With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained uni…
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Yichen Zhang, Feng Qiu, Tianqi Hong +2
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions onli…
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control
Dong Chen, Kaian Chen. Zhaojian Li, Tianshu Chu +3
This paper develops an efficient multi-agent deep reinforcement learning algorithm for cooperative controls in powergrids. Specifically, we consider the decentralized inverter-base…
Deep Active Learning for Solvability Prediction in Power Systems
Yichen Zhang, Jianzhe Liu, Feng Qiu +2
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the r…
Robust Trajectory-Constrained Frequency Control for Microgrids Considering Model Linearization Error
Yichen Zhang, Chen Chen, Tianqi Hong +3
The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations. Stabilizing frequency during the isl…
Decomposable Formulation of Transmission Constraints for Decentralized Power Systems Optimization
Alinson S. Xavier, Feng Qiu, Santanu S. Dey
One of the most complicating factors in decentralized optimization for power systems is the modeling of power flow equations. Existing formulations for DC power flows either have l…
Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints
Yichen Zhang, Chen Chen, Guodong Liu +2
In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem. The nonlinear function between system…
Balancibility: Existence and Uniqueness of Power Flow Solutions under Voltage Balance Requirements
Bowen Li, Bai Cui, Feng Qiu +1
In distribution systems, power injection variability due to growing penetrations of distributed energy resources (DERs) and dispatchable loads can lead to power quality issues such…
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow
Ren Hu, Qifeng Li, Feng Qiu
Though the convex optimization has been widely used in power systems, it still cannot guarantee to yield a tight (accurate) solution to some problems. To mitigate this issue, this…
Multi-Agent Safe Policy Learning for Power Management of Networked Microgrids
Qianzhi Zhang, Kaveh Dehghanpour, Zhaoyu Wang +2
This paper presents a supervised multi-agent safe policy learning (SMAS-PL) method for optimal power management of networked microgrids (MGs) in distribution systems. While convent…
Optimal Power Flow for DC Networks with Robust Feasibility and Stability Guarantees
Jianzhe Liu, Bai Cui, Daniel K. Molzahn +3
With high penetrations of renewable generation and variable loads, there is significant uncertainty associated with power flows in DC networks such that stability and operational c…
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
Alinson S. Xavier, Feng Qiu, Shabbir Ahmed
Security-Constrained Unit Commitment (SCUC) is a fundamental problem in power systems and electricity markets. In practical settings, SCUC is repeatedly solved via Mixed-Integer Li…
Robust Estimation of Reactive Power for an Active Distribution System
Zhengshuo Li, Jianhui Wang, Hongbin Sun +2
Increasing distributed energy resources (DERs) may result in reactive power imbalance in a transmission power system (TPS). An active distribution power system (DPS) having DERs re…
Risk-Based Distributionally Robust Optimal Power Flow With Dynamic Line Rating
Cheng Wang, Rui Gao, Feng Qiu +2
In this paper, we propose a risk-based data-driven approach to optimal power flow (DROPF) with dynamic line rating. The risk terms, including penalties for load shedding, wind gene…
Scheduling Post-Disaster Repairs in Electricity Distribution Networks
Yushi Tan, Feng Qiu, Arindam K. Das +3
Natural disasters, such as hurricanes, earthquakes and large wind or ice storms, typically require the repair of a large number of components in electricity distribution networks.…
Multi-Period Do-Not-Exceed Limit for Variable Renewable Generation Dispatch Considering Discrete Recourse Controls
Zhigang Li, Feng Qiu, Jianhui Wang
The do-not-exceed (DNE) limit method was proposed to accommodate more variable renewable generation (VRG) securely. However, the lack of involving discrete recourse control preclud…
An SQP Method Combined with Gradient Sampling for Small-Signal Stability Constrained OPF
Peijie Li, Junjian Qi, Jianhui Wang +3
Small-Signal Stability Constrained Optimal Power Flow (SSSC-OPF) can provide additional stability measures and control strategies to guarantee the system to be small-signal stable.…