activity
20152024
most citedA Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

57 citations · 192 across the 39 of their papers we have counts for

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23 papers · 1 filter

eess.SY2024★ 25 cited

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…

eess.SY2021

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…

eess.SY2021

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…

eess.SY2021

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…

eess.SY2021★ 1 cited

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…

eess.SY2020★ 4 cited

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…

eess.SY2020

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…

eess.SY2020

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…

eess.SY2020★ 1 cited

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…

eess.SY2020★ 1 cited

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…

eess.SY2020

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…

eess.SY2020

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…

eess.SY2020★ 1 cited

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…

eess.SY2019★ 2 cited

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…

eess.SY2019★ 3 cited

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…

eess.SY2019★ 3 cited

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…

eess.SY2018★ 13 cited

False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis

Yuqi Zhou, Jorge Cisneros-Saldana, Le Xie

In this paper, we propose a class of false analog data injection attack that can misguide the system as if topology errors had occurred. By utilizing the measurement redundancy wit…

eess.SY2018★ 25 cited

Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections with Loss of Distribution-PMU Measurements

S Sivaranjani, Etika Agarwal, Vijay Gupta +2

Recent advances in distribution-level phasor measurement unit (D-PMU) technology have enabled the use of voltage phase angle measurements for direct load sharing control in distrib…

eess.SY2018★ 7 cited

Mixed Voltage Angle and Frequency Droop Control for Transient Stability of Interconnected Microgrids with Loss of PMU Measurements

S Sivaranjani, Etika Agarwal, Le Xie +2

We consider the problem of guaranteeing transient stability of a network of interconnected angle droop controlled microgrids, where voltage phase angle measurements from phasor mea…

eess.SY2017

An Online Detection Framework for Cyber Attacks on Automatic Generation Control

Tong Huang, Bharadwaj Satchidanandan, P. R. Kumar +1

We propose an online framework to detect cyber attacks on Automatic Generation Control (AGC). A cyber at- tack detection algorithm is designed based on the approach of Dynamic Wate…

eess.SY2016

Learning the LMP-Load Coupling From Data: A Support Vector Machine Based Approach

Xinbo Geng, Le Xie

This paper investigates the fundamental coupling between loads and locational marginal prices (LMPs) in security-constrained economic dispatch (SCED). Theoretical analysis based on…

eess.SY2015★ 2 cited

The ISO Problem: Decentralized Stochastic Control via Bidding Schemes

Rahul Singh, P. R. Kumar, Le Xie

We consider a smart-grid connecting several agents, modeled as stochastic dynamical systems, who may be electricity consumers/producers. At each discrete time instant, which may re…

eess.SY2015★ 4 cited

A Theory for the Operation of the Independent System Operator in a Smart Grid with Stochastic Renewables, Demand Response and Storage

Rahul Singh, Ke Ma, Anupam Thatte +2

In this paper, we address a key issue of designing architectures and algorithms which generate optimal demand response in a decentralized manner for a smart-grid consisting of seve…