activity
20172023
most citedEncoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

117 citations · 136 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SY2023

A Semi-Analytical Approach for State-Space Electromagnetic Transient Simulation Using the Differential Transformation

Min Xiong, Kaiyang Huang, Yang Liu +3

Electromagnetic transient (EMT) simulation is a crucial tool for power system dynamic analysis because of its detailed component modeling and high simulation accuracy. However, it…

eess.SY2023

Semi-Analytical Electromagnetic Transient Simulation Using Differential Transformation

Min Xiong, Rui Yao, Yang Liu +2

For electromagnetic transient (EMT) simulation of a power system, a state-space-based approach needs to solve state-space EMT equations by using numerical integration methods, e.g.…

math.DS2022

Simulation of Transients in Natural Gas Networks via A Semi-analytical Solution Approach

Xin Xu, Rui Yao, Kai Sun +1

Simulation and control of the transient flow in natural gas networks involve solving partial differential equations (PDEs). This paper proposes a semi-analytical solutions (SAS) ap…

math.OC2022

D-optimal Data Fusion: Exact and Approximation Algorithms

Yongchun Li, Marcia Fampa, Jon Lee +3

We study the D-optimal Data Fusion (DDF) problem, which aims to select new data points, given an existing Fisher information matrix, so as to maximize the logarithm of the determin…

stat.AP2022

Spatio-Temporal Wildfire Prediction using Multi-Modal Data

Chen Xu, Yao Xie, Daniel A. Zuniga Vazquez +2

Due to severe societal and environmental impacts, wildfire prediction using multi-modal sensing data has become a highly sought-after data-analytical tool by various stakeholders (…

stat.AP2021

Quantifying Grid Resilience Against Extreme Weather Using Large-Scale Customer Power Outage Data

Shixiang Zhu, Rui Yao, Yao Xie +3

In recent decades, the weather around the world has become more irregular and extreme, often causing large-scale extended power outages. Resilience -- the capability of withstandin…

cs.DC2021★ 1 cited

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…

cs.CE2021★ 1 cited

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…

eess.SY2021★ 117 cited

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…

eess.SY2020★ 6 cited

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…

cs.LG2020

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…

stat.OT2019★ 1 cited

Online detection of cascading change-points

Rui Zhang, Yao Xie, Rui Yao +1

We propose an online detection procedure for cascading failures in the network from sequential data, which can be modeled as multiple correlated change-points happening during a sh…

cs.CE2017★ 8 cited

Towards Simulation and Risk Assessment of Weather-Related Cascading Outages

Rui Yao, Kai Sun

Weather and environmental factors are verified to have played significant roles in historical major cascading outages and blackouts. Therefore, in the simulation and risk assessmen…

eess.SY2017★ 1 cited

Management of Cascading Outage Risk Based on Risk Gradient and Markovian Tree Search

Rui Yao, Kai Sun, Feng Liu +1

Since cascading outages are major threats to power systems, it is important to reduce the risk of potential cascading outages. In this paper, a risk management method of cascading…

cs.CE2017★ 1 cited

Efficient Simulation of Temperature Evolution of Overhead Transmission Lines Based on Analytical Solution and NWP

Rui Yao, Kai Sun, Feng Liu +1

Transmission lines are vital components in power systems. Tripping of transmission lines caused by over-temperature is a major threat to the security of system operations, so it is…