activity
20162022
most citedEncoding Frequency Constraints in Preventive Unit Commitment Using Deep Learning with Region-of-Interest Active Sampling

117 citations · 343 across the 18 of their papers we have counts for

collaborators

19 papers

math.OC2022★ 19 cited

Ensuring Transient Stability with Guaranteed Region of Attraction in DC Microgrids

Jianzhe Liu, Yichen Zhang, Antonio J. Conejo +1

DC microgrids have promising applications in renewable integration due to their better energy efficiency when connecting DC components. However, they might be unstable since many l…

eess.SY2022

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…

eess.SY2021

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…

eess.SY2021★ 117 cited

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…

eess.SY2020

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…

eess.SY2020★ 63 cited

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…