activity
20172020
most citedGlobal Sensitivity Analysis in Load Modeling via Low-rank Tensor

21 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2020★ 5 cited

Rethink AI-based Power Grid Control: Diving Into Algorithm Design

Xiren Zhou, Siqi Wang, Ruisheng Diao +3

Recently, deep reinforcement learning (DRL)-based approach has shown promisein solving complex decision and control problems in power engineering domain.In this paper, we present a…

math.OC2020★ 1 cited

On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control

Ruisheng Diao, Di Shi, Bei Zhang +6

Deriving fast and effectively coordinated control actions remains a grand challenge affecting the secure and economic operation of today's large-scale power grid. This paper presen…

eess.SP2020

Evaluating Load Models and Their Impacts on Power Transfer Limits

Xinan Wang, Yishen Wang, Di Shi +4

Power transfer limits or transfer capability (TC) directly relate to the system operation and control as well as electricity markets. As a consequence, their assessment has to comp…

math.OC2020★ 21 cited

Global Sensitivity Analysis in Load Modeling via Low-rank Tensor

You Lin, Yishen Wang, Jianhui Wang +2

Growing model complexities in load modeling have created high dimensionality in parameter estimations, and thereby substantially increasing associated computational costs. In this…

math.OC2019★ 2 cited

A Deep Reinforcement Learning Based Approach for Optimal Active Power Dispatch

Jiajun Duan, Haifeng Li, Xiaohu Zhang +6

The stochastic and dynamic nature of renewable energy sources and power electronic devices are creating unique challenges for modern power systems. One such challenge is that the c…

eess.SY2018★ 3 cited

Cyber-Physical Testbed for Power System Wide-Area Measurement-Based Control Using Open-Source Software

Hantao Cui, Fangxing Li, Kevin Tomsovic +4

The electric power system is a cyber-physical system with power flow in the physical system and information flow in the cyber. Simulation is crucial to understanding the dynamics a…

eess.SY2017

Quantitative Control Approach for Wind Turbine Generators to Provide Fast Frequency Response with Guarantee of Rotor Security

Siqi Wang, Kevin Tomsovic

Wind generation is expected to reach substantially higher levels of penetration in the near future. With the converter interface, the rotor inertia of doubly-fed induction generato…