EDBT 2026 Demo / reviewers in the wild / expert
Bin Wang 0033
dblp:13/1898-33
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0003-4199-4403ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | A Twin Circuit Theory-Based Framework for Oscillation Event Analysis in Inverter-Dominated Power Systems With Case Study for Kaua'i SystemabstractThis paper proposes a real-world oscillation event analysis framework for power systems that include inverter-based resources together with synchronous generators. Specifically, the proposed framework combines both measurement-and model-based techniques to readily identify potential oscillation sources, replay the oscillation event with numerical simulation, unveil the underlying oscillation mechanism, and suggest mitigation methods for a wide range of oscillation events. To strengthen the theoretical foundation of our analysis framework, this paper proposes atwin circuit theorythat provides theoretical support for one key utilized but not well-proven measurement-based oscillation source identification method—Dissipating Energy Flow. Ourtwin circuit theoryalso shows that adopting well-tuned grid-forming inverters can be a potential mitigation method for oscillation events. Finally, the effectiveness of our proposed oscillation event analysis framework is demonstrated by addressing a real-world 18-20 Hz oscillation event in Kaua‘i’s power system on November 21, 2021. Shuan Dong, Anderson Hoke, Bin Wang 0033, Lizhi Ding, Cameron J. Kruse, Brad W. Rockwell |
IEEE Trans. Circuits Syst. I Regul. Pap. | 3 |
| 2024 | A Participation Factor-Based Approach for Defining the EMT Model Boundary for Power System Simulations with Inverter-Based ResourcesabstractThe increasing penetration of inverter-based resources (IBRs) introduces new challenges to power system simulations, particularly with the emergence of fast electromagnetic transient (EMT) dynamics and sub-synchronous oscillations (SSO) that require time-consuming EMT simulations. To reduce the time cost for simulating a large-scale power grid with IBRs, this paper proposes a novel participation factor-based approach for defining a critical zone for detailed EMT modeling and simulations, which includes the IBRs, synchronous generators, and the network components participating significantly in simulated contingencies. Both model-based and response-based methods are introduced for the estimation of participation factors (PFs). The case study on the 240-bus Western Electricity Coordinating Council (WECC) system demonstrates that the EMT zone determined by the proposed approach can effectively capture power system dynamics involving IBRs. Mahsa Sajjadi, Tianwei Xia, Kai Sun 0001, Anderson Hoke, Bin Wang 0033 |
IECON | 6 |
| 2024 | EMT-TS Hybrid Simulation for Large Power Grids Considering IBR-Driven DynamicsabstractThe escalating integration of inverter-based resources (IBRs) poses new challenges to power systems by introducing fast dynamics with higher frequencies, which may need to be simulated by an electromagnetic transient (EMT) program. As an alternative to conducting EMT simulations for the entire system, which is typically time consuming, hybrid simulation between EMT and phasor-domain transient stability (TS) can greatly reduce the computational burden while preserving the detailed fast dynamics in the EMT zone. This paper establishes an EMT-TS hybrid simulation platform using open-source tools, specifically ParaEMT, GridPACK, and HELICS, which are the EMT simulator, TS simulator, and interface framework, respectively. Case studies on the 240-bus Western Electricity Coordinating Council (WECC) system demonstrate that the developed ParaEMT-HELICS-GridPACK hybrid simulator can accurately capture both slow electromechanical and fast IBR-driven dynamics with a 2.4× speedup. Bin Wang 0033, Deepthi Vaidhynathan, Jonathan Maack, Yuan Liu 0023, Shrirang Abhyankar, Bruce J. Palmer, Rodrigo Henriquez-Auba, Anderson Hoke, Kai Sun 0001, Vijay Vittal, Mahsa Sajjadi, Mohammed N. Khamees, Kaiyang Huang, Deepak Ramasubramanian, Vishal Verma, Matthew Reynolds |
IECON | 2 |