On Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints

1 code implementation • 17 Apr 2023 • Tannan Xiao, Ying Chen, Han Diao, Shaowei Huang, Chen Shen

The effectiveness, efficiency, and accuracy of the proposed method are demonstrated through experiments in the IEEE 39-bus system and a practical 710-bus regional power grid.

Decision Making

Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component Modeling

2 code implementations • 25 Oct 2021 • Tannan Xiao, Ying Chen, Shaowei Huang, Tirui He, Huizhe Guan

In the context of high penetration of renewables, the need to build dynamic models of power system components based on accessible measurement data has become urgent.

Numerical Integration

Exploration of Artificial Intelligence-oriented Power System Dynamic Simulators

2 code implementations • 3 Oct 2021 • Tannan Xiao, Ying Chen, Jianquan Wang, Shaowei Huang, Weilin Tong, Tirui He

With the rapid development of artificial intelligence (AI), it is foreseeable that the accuracy and efficiency of dynamic analysis for future power system will be greatly improved by the integration of dynamic simulators and AI.