19 citations · 23 across the 7 of their papers we have counts for
10 papers · 1 filter
Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power Systems
Hantao Cui, Yichen Zhang
This paper presents Andes_gym, a versatile and high-performance reinforcement learning environment for power system studies. The environment leverages the modeling and simulation c…
Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems
Zhe Xu, Yichen Zhang
In this paper, we present a provably correct controller synthesis approach for switched stochastic control systems with metric temporal logic (MTL) specifications with provable pro…
Encoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling
Yichen Zhang, Hantao Cui, Jianzhe Liu +4
With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained uni…
Online Detection of Low-Quality Synchrophasor Data Considering Frequency Similarity
Wenyun Ju, Horacio Silva-Saravia, Neeraj Nayak +4
This letter proposes a new approach for online detection of low-quality synchrophasor data under both normal and event conditions. The proposed approach utilizes the features of sy…
Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems
Yichen Zhang, Feng Qiu, Tianqi Hong +2
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions onli…
Adaptive Switching Control of Wind Turbine Generators for Necessary Frequency Response
Yang Liu, Yichen Zhang, Kai Sun +1
This letter proposes a new control strategy for wind turbine generators to decide the necessity of switches between the normal operation and frequency support modes. The idea is to…