120 citations · 256 across the 9 of their papers we have counts for
9 papers
Power Grid Cascading Failure Mitigation by Reinforcement Learning
Yongli Zhu
This paper proposes a cascading failure mitigation strategy based on Reinforcement Learning (RL). The motivation of the Multi-Stage Cascading Failure (MSCF) problem and its connect…
A Two-Level Simulation-Assisted Sequential Distribution System Restoration Model With Frequency Dynamics Constraints
Qianzhi Zhang, Zixiao Ma, Yongli Zhu +1
This paper proposes a service restoration model for unbalanced distribution systems and inverter-dominated microgrids (MGs), in which frequency dynamics constraints are developed t…
Parallel Betweenness Computation in Graph Database for Contingency Selection
Yongli Zhu, Renchang Dai, Guangyi Liu
Parallel betweenness computation algorithms are proposed and implemented in a graph database for power system contingency selection. Principles of the graph database and graph comp…
Mitigating Multi-Stage Cascading Failure by Reinforcement Learning
Yongli Zhu, Chengxi Liu
This paper proposes a cascading failure mitigation strategy based on Reinforcement Learning (RL) method. Firstly, the principles of RL are introduced. Then, the Multi-Stage Cascadi…
Fast Grid Splitting Detection for N-1 Contingency Analysis by Graph Computing
Yongli Zhu, Lingpeng Shi, Renchang Dai +1
In this study, a graph-computing based grid splitting detection algorithm is proposed for contingency analysis in a graph-based EMS (Energy Management System). The graph model of a…
Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement
Yongli Zhu, Chengxi Liu, Renchang Dai +2
A placement problem for multiple Battery Energy Storage System (BESS) units is formulated towards power system transient voltage stability enhancement in this paper. The problem is…
Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification
Yongli Zhu, Chengxi Liu, Kai Sun
This paper presents a study on power grid disturbance classification by Deep Learning (DL). A real synchrophasor set composing of three different types of disturbance events from t…
Optimization of Battery Energy Storage to Improve Power System Oscillation Damping
Yongli Zhu, Chengxi Liu, Kai Sun +2
A placement problem for multiple Battery Energy Storage System (BESS) units is formulated towards power system transient voltage stability enhancement in this paper. The problem is…
Power Market Price Forecasting via Deep Learning
Yongli Zhu, Songtao Lu, Renchang Dai +2
A study on power market price forecasting by deep learning is presented. As one of the most successful deep learning frameworks, the LSTM (Long short-term memory) neural network is…