1 citations · 2 across the 3 of their papers we have counts for
8 papers
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…
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…
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…