8 citations · 10 across the 6 of their papers we have counts for
6 papers
Quantifying and Improving the Accuracy of Electromagnetic Transient-Transient Stability Hybrid Simulation
Bin Wang, Qiang Zhang, Xiaochuan Luo +4
The increasing penetration of inverter-based resources introduces new dynamic challenges to modern power grids, such as sub- and super-synchronous oscillations and other faster dyn…
Applicability and Limitation Analysis of PMU Data and Phasor Concept for Low- and High- Frequency Oscillations
Bowen Ou, Bin Wang, Slava Maslennikov +2
Phasor Measurement Units (PMUs) convert high-speed waveform data into low-speed phasor data, which are fundamental to wide-area monitoring and control in power systems, with oscill…
Implementing Deep Reinforcement Learning-Based Grid Voltage Control in Real-World Power Systems: Challenges and Insights
Di Shi, Qiang Zhang, Mingguo Hong +4
Deep reinforcement learning (DRL) holds significant promise for managing voltage control challenges in simulated power grid environments. However, its real-world application in pow…
Physics-Aware Neural Dynamic Equivalence of Power Systems
Qing Shen, Yifan Zhou, Qiang Zhang +3
This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic eq…
Scalable Neural Dynamic Equivalence for Power Systems
Qing Shen, Yifan Zhou, Huanfeng Zhao +4
Traditional grid analytics are model-based, relying strongly on accurate models of power systems, especially the dynamic models of generators, controllers, loads and other dynamic…
A Modal-Space Method for Online Power System Steady-State Stability Monitoring
Bin Wang, Le Xie, Slava Maslennikov +3
This paper proposes a novel approach to estimate the steady-state angle stability limit (SSASL) by using the nonlinear power system dynamic model in the modal space. Through two li…