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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

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5 papers · 1 filter

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.…

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…

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…