Yue Xia
Tsinghua University
27 Papers
54 Citations
Yue Xia is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Electric power system. The author has an hindex of 6, co-authored 19 publications. Previous affiliations of Yue Xia include Electric Power Research Institute & China Agricultural University.
Chat about Author
Papers
Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
TL;DR: A multi-agent deep reinforcement learning (DRL) method is proposed which realizes a dual control on the source and load sides of the islanded microgrid and validates the strong adaptability of the proposed method in different conditions.
Multi-Scale Modeling and Simulation of DFIG-Based Wind Energy Conversion System
TL;DR: In this paper, a multi-scale transients model of a doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) is developed, implemented, and validated.
Efficient Power Flow Algorithm for AC/MTDC Considering Complementary Constraints of VSC's Reactive Power and AC Node Voltage
TL;DR: An efficient ac/dc power flow algorithm considering the complementary constraints of VSC's reactive power limit and ac node voltage is presented, which can be distinguished from the existing works in terms of both modeling and algorithm aspects.
30
Power System Security Under False Data Injection Attacks With Exploitation and Exploration Based on Reinforcement Learning
TL;DR: A self-governing FDI attack method with exploitation and exploration mechanisms and then evaluates its threat to power systems, showing that the proposed FDI method can cause voltage collapse even if only a few substations are infected.
27
Multiscale Induction Machine Modeling in the dq0 Domain Including Main Flux Saturation
TL;DR: In this article, a multiscale induction machine model for the simulation of diverse transients in power systems is developed in the dq0 domain, where the equations that describe the electrical performance of the induction machine are represented through analytic signals whose Fourier spectrum can be shifted.