57 citations · 192 across the 39 of their papers we have counts for
39 papers
Unsupervised Congestion Status Identification Using LMP Data
Kedi Zheng, Qixin Chen, Yi Wang +2
Having a better understanding of how locational marginal prices (LMPs) change helps in price forecasting and market strategy making. This paper investigates the fundamental distrib…
A Preliminary Study on the Role of Energy Storage and Load Rationing in Mitigating the Impact of the 2021 Texas Power Outage
Ali Menati, Le Xie
In February 2021, an unprecedented winter storm swept across the U.S., severely affecting the Texas power grid, leading to more than 4.5 million customers' electricity service inte…
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids. This testbe…
An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification
Lu Zhang, Bin Wang, Vivek Sarin +3
In power system dynamic simulation, up to 90% of the computational time is devoted to solve the network equations, i.e., a set of linear equations. Traditional approaches are based…
An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage
Dongqi Wu, Xiangtian Zheng, Yixing Xu +4
Unprecedented winter storms that hit across Texas in February 2021 have caused at least 69 deaths and 4.5 million customer interruptions due to the wide-ranging generation capacity…
Two-stage Robust Energy Storage Planning with Probabilistic Guarantees: A Data-driven Approach
Chao Yan, Xinbo Geng, Zhaohong Bie +1
This paper addresses a central challenge of jointly considering shorter-term (e.g. hourly) and longer-term (e.g. yearly) uncertainties in power system planning with increasing pene…
Quantitative Assessment of U.S. Bulk Power Systems and Market Operations during COVID-19
Guangchun Ruan, Jiahan Wu, Haiwang Zhong +2
Starting in early 2020, the novel coronavirus disease (COVID-19) severely affected the U.S., causing substantial changes in the operations of bulk power systems and electricity mar…
Transient Stability Assessment of Networked Microgrids Using Neural Lyapunov Methods
Tong Huang, Sicun Gao, Le Xie
This paper proposes a novel transient stability assessment tool for networked microgrids based on neural Lyapunov methods. Assessing transient stability is formulated as a problem…
Detection of Cyber Attacks in Renewable-rich Microgrids Using Dynamic Watermarking
Tong Huang, Bin Wang, Jorge Ramos-Ruiz +3
This paper presents the first demonstration of using an active mechanism to defend renewable-rich microgrids against cyber attacks. Cyber vulnerability of the renewable-rich microg…
Probabilistic Hosting Capacity Analysis via Bayesian Optimization
Xinbo Geng, Lang Tong, Anirban Bhattacharya +2
This paper studies the probabilistic hosting capacity analysis (PHCA) problem in distribution networks considering uncertainties from distributed energy resources (DERs) and reside…
Versus Induced by the Boson
Zhaofeng Kang, Yoshihiro Shigekami
To address the long-standing anomaly via a light boson, in Ref. [1] we proposed to extend the standard model (SM) by the local , under which only the second a…
A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters
Tong Huang, Hongbo Sun, Kyeong Jin Kim +2
This paper proposes a holistic framework for parameter coordination of a power electronic-interfaced microgrid interconnection against natural disasters. The paper identifies a tra…
Searching for the Shortest Path to the Point of Voltage Collapse on the Algebraic Manifold
Dan Wu, Franz-Erich Wolter, Bin Wang +1
Voltage instability is one of the main causes of power system blackouts. Emerging technologies such as renewable energy integration, distributed energy resources and demand respons…
A Modal-Space Method for Online Power System Steady-State Stability Monitoring
Bin Wang, Le Xie, Slava Maslennikov +3
This paper proposes a novel approach to estimate the steady-state angle stability limit (SSASL) by using the nonlinear power system dynamic model in the modal space. Through two li…
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
Guangchun Ruan, Dongqi Wu, Xiangtian Zheng +5
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. begins to…
A Smart Meter Data-driven Distribution Utility Rate Model for Networks with Prosumers
Athindra Venkatraman, Anupam Thatte, Le Xie
Distribution grids across the world are undergoing profound changes due to advances in energy technologies. Electrification of the transportation sector and the integration of Dist…
Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources…
Chance-constrained Unit Commitment via the Scenario Approach
Xinbo Geng, Le Xie
Keeping the balance between supply and demand is a fundamental task in power system operational planning practices. This task becomes particularly challenging due to the deepening…
Computing Essential Sets for Convex and Non-convex Scenario Problems: Theory and Application
Xinbo Geng, Le Xie, M. Sadegh Modarresi
The scenario approach is a general data-driven algorithm to chance-constrained optimization. It seeks the optimal solution that is feasible to a carefully chosen number of scenario…
On Distribution Patterns of Power Flow Solutions
Dan Wu, Bin Wang, Kai Sun +1
A fundamental challenge in computer analysis of power flow is the rigorous understanding of the impact of different loading levels on the solutions of the power flow equation. This…
Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach
Xiangtian Zheng, Bin Wang, Dileep Kalathil +1
This paper introduces a machine learning-based approach to synthetically creating realistic phasor measurement unit (PMU) data streams of multiple transient types. In contrast to t…
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems
Dongqi Wu, Xiangtian Zheng, Dileep Kalathil +1
This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at…
Data-driven Decision Making with Probabilistic Guarantees (Part 2): Applications of Chance-constrained Optimization in Power Systems
Xinbo Geng, Le Xie
Uncertainties from deepening penetration of renewable energy resources have posed critical challenges to the secure and reliable operations of future electric grids. Among various…
Data-driven Decision Making with Probabilistic Guarantees (Part 1): A Schematic Overview of Chance-constrained Optimization
Xinbo Geng, Le Xie
Uncertainties from deepening penetration of renewable energy resources have posed critical challenges to the secure and reliable operations of future electric grids. Among various…