210 citations · 272 across the 20 of their papers we have counts for
21 papers
Transient Stability Analysis of a Hybrid Grid-Forming and Grid-Following RES System Considering Multi-Mode Control Switching
Ruiyuan Zeng, Ruisheng Diao, Fangyuan Sun +3
The inherent control switching of renewable energy sources (RESs) during intricate transient processes introduces complexity to the dynamic behavior of modern power systems. This p…
Improved PLL Design for Transient Stability Enhancement of Grid Following Converters Based on Lyapunov Method
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +2
Fluctuations in phase angle and frequency under large disturbances can lead to loss of synchronism (LOS) in grid-following (GFL) converters. The power angle and frequency of synchr…
A Novel Decoupled LVRT Control Strategy for Transient Voltage Stability Enhancement of IBRs Using Voltage-Angle Coupling Analysis
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +2
With the fast-increasing penetration of inverter-based resources (IBRs), the voltage support capability of the grid following (GFL) IBRs under low voltage ride through (LVRT) contr…
Transient Stability Analysis for Grid Following Converters in Low-Inertia Power Systems by Direct Method
Fangyuan Sun, Ruisheng Diao, Ruiyuan Zeng +4
With the increased penetration of renewable energy and reduced proportion of synchronous generators, the low-inertia characteristics of todays power system become prominent, and th…
MS-DFTVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Deformable Convolution
Chenghan Li, Mingchen Li, Yipu Liao +1
Research on long-term time series prediction has primarily relied on Transformer and MLP models, while the potential of convolutional networks in this domain remains underexplored.…
TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation
Chenghan Li, Mingchen Li, Ruisheng Diao
With the recent development and advancement of Transformer and MLP architectures, significant strides have been made in time series analysis. Conversely, the performance of Convolu…
Robust Adaptive Control of STATCOMs to Mitigate Inverter-Based-Resource (IBR)-Induced Oscillations
Hui Yuan, Linbin Huang, Huisheng Gao +3
The interaction among inverter-based resources (IBRs) and power network may cause small-signal stability issues, especially in low short-circuit-level grids. Besides, integrating s…
Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents
Xiumin Shang, Jinping Yang, Bingquan Zhu +5
Planning future operational scenarios of bulk power systems that meet security and economic constraints typically requires intensive labor efforts in performing massive simulations…
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…
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…
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…
Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation
Yuhao Zhou, Bei Zhang, Chunlei Xu +5
Optimal power flow (OPF) is a very fundamental but vital optimization problem in the power system, which aims at solving a specific objective function (ex.: generator costs) while…
AI-Based Autonomous Line Flow Control via Topology Adjustment for Maximizing Time-Series ATCs
Tu Lan, Jiajun Duan, Bei Zhang +4
This paper presents a novel AI-based approach for maximizing time-series available transfer capabilities (ATCs) via autonomous topology control considering various practical constr…
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…
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Sogol Babaeinejadsarookolaee, Adam Birchfield, Richard D. Christie +20
In recent years, the power systems research community has seen an explosion of novel methods for formulating the AC power flow equations. Consequently, benchmarking studies using t…
Autonomous Voltage Control for Grid Operation Using Deep Reinforcement Learning
Ruisheng Diao, Zhiwei Wang, Di Shi +3
Modern power grids are experiencing grand challenges caused by the stochastic and dynamic nature of growing renewable energy and demand response. Traditional theoretical assumption…
Adaptive Robust Energy Management Strategy for Campus-Based Commercial Buildings Considering Comprehensive Comfort Levels
Zheming Liang, Desong Bian, Dawei Su +4
Neglecting consumers' comfort always leads to failure or slow-response to demand response request. In this paper, we propose several comprehensive comfort level models for various…
Optimal Energy Management for Commercial Buildings Considering Comprehensive Comfort Levels in a Retail Electricity Market
Zheming Liang, Desong Bian, Xiaohu Zhang +3
Demand response has been implemented by distribution system operators to reduce peak demand and mitigate contingency issues on distribution lines and substations. Specifically, the…
Online Low Frequency Oscillation Detection and Analysis System with an Ensemble Filter
Desong Bian, Zhe Yu, Di Shi +2
The widespread deployment of phasor measurement unit (PMU) overpower systems makes it possible to monitor and analyze grid dynamics in real-time. Low-frequency oscillation is harmf…
A Reference Implementation of WECC Composite Load Model in Matlab and GridPACK
Qiuhua Huang, Renke Huang, Bruce J. Palmer +5
The composite load model (CLM) proposed by the Western Electricity Coordinating Council (WECC) is gaining increasing traction in industry, particularly in North America. At the sam…
Decentralized Robust Control for Damping Inter-area Oscillations in Power Systems
Jianming Lian, Shaobu Wang, Ruisheng Diao +1
As power systems become more and more interconnected, the inter-area oscillations has become a serious factor limiting large power transfer among different areas. Underdamped (Unda…