Yuan Liu

ORCID: 0000-0001-5137-3040
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About
Contact & Profiles
Research Areas
  • Microgrid Control and Optimization
  • HVDC Systems and Fault Protection
  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Islanding Detection in Power Systems
  • Real-time simulation and control systems
  • Electric Vehicles and Infrastructure
  • Optimal Power Flow Distribution
  • Smart Grid Security and Resilience

Pacific Northwest National Laboratory
2022-2024

The inverter-based resource (IBR) has been an important component of power generation within both transmission and distribution systems. impacts high IBR penetration on system transient stability have not explored extensively due to the lack high-fidelity grid inverter models. aggregate model in is only suitable for representing bulk (BPS)-connected IBRs, it cannot precisely reproduce dynamics distributed IBRs its oversimplified structure. In this study, we developed a high-penetration...

10.1109/tpwrd.2023.3302303 article EN IEEE Transactions on Power Delivery 2023-08-07

This paper presents a novel federated reinforcement learning (Fed-RL) methodology to enhance the cyber resiliency of networked microgrids. We formulate resilient (RL) training setup which (a) generates episodic trajectories injecting adversarial actions at primary control reference signals grid forming (GFM) inverters and (b) trains RL agents (or controllers) alleviate impact injected adversaries. To circumvent data-sharing issues concerns for proprietary privacy in multi-party-owned grids,...

10.1109/pesgm52003.2023.10252480 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2023-07-16

This paper describes a positive-sequence model to represent two widely reported droop-controlled grid-forming inverters for transmission system transient stability simulation studies. Methods of how develop the equivalent voltage source behind impedance with and without inner control loops, modeling P-f Q-V droop controls, active reactive power limiting modeling, fault current controls have been described in detail. The was implemented commercially available tools compared detailed...

10.1109/tpwrd.2024.3376245 article EN IEEE Transactions on Power Delivery 2024-03-18

In the recent years, there has been an increase in distributed inverter-based resources (D-IBRs) system that is impacting grid performance. Dynamic transmission and distribution (T&D) co-simulation effective method to evaluate impact of D-IBRs on response, however, implementation a challenge. This article innovatively achieves accurate T&D model coordination with inclusion dynamic models power electronic controls. It also demonstrates operating grid-forming (GFM) controls frequency support...

10.1109/jsyst.2022.3218117 article EN publisher-specific-oa IEEE Systems Journal 2022-11-29

Historically, when modeling a grid-following (GFL) inverter in the phasor-based solver, fast inner current control loop is typically ignored. To achieve more accurate modeling, authors have attempted to model but experienced significant numerical stability issues. This paper conducts detailed analysis and provides insight into feasibility of GFL solver. The key findings this study reveal that: a) neglecting filter dynamic can cause bandwidth become infinite with typical parameters phasor...

10.1109/pesgm52003.2023.10252785 article EN 2021 IEEE Power & Energy Society General Meeting (PESGM) 2023-07-16
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