Baosen Zhang

Baosen Zhang

University of Washington

H-index: 38

North America-United States

About Baosen Zhang

Baosen Zhang, With an exceptional h-index of 38 and a recent h-index of 34 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Power systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees

Balancing Fairness and Efficiency in Energy Resource Allocations

Efficient Reinforcement Learning Through Trajectory Generation

Convex Restriction of Feasible Sets for AC Radial Networks

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees

Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits

A frequency domain approach to predict power system transients

Baosen Zhang Information

University

Position

Keith and Nancy Rattie Endowed Career Development Professor

Citations(all)

5607

Citations(since 2020)

4331

Cited By

2667

hIndex(all)

38

hIndex(since 2020)

34

i10Index(all)

75

i10Index(since 2020)

68

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Baosen Zhang Skills & Research Interests

Power systems

Top articles of Baosen Zhang

Title

Journal

Author(s)

Publication Date

Oscillations-Aware Frequency Security Assessment via Efficient Worst-Case Frequency Nadir Computation

arXiv preprint arXiv:2402.16765

Yan Jiang

Hancheng Min

Baosen Zhang

2024/2/26

Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees

Advances in Neural Information Processing Systems

Wenqi Cui

Yan Jiang

Baosen Zhang

Yuanyuan Shi

2024/2/13

Balancing Fairness and Efficiency in Energy Resource Allocations

arXiv preprint arXiv:2403.15616

Jiayi Li

Matthew Motoki

Baosen Zhang

2024/3/22

Efficient Reinforcement Learning Through Trajectory Generation

Wenqi Cui

Linbin Huang

Weiwei Yang

Baosen Zhang

2023/6/6

Convex Restriction of Feasible Sets for AC Radial Networks

arXiv preprint arXiv:2310.00549

Ling Zhang

Daniel Tabas

Baosen Zhang

2023/10/1

An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees

arXiv preprint arXiv:2304.01409

Ling Zhang

Daniel Tabas

Baosen Zhang

2023/4/3

Optimal Control of Grid-Interfacing Inverters With Current Magnitude Limits

arXiv preprint arXiv:2310.00473

Trager Joswig-Jones

Baosen Zhang

2023/9/30

A frequency domain approach to predict power system transients

IEEE Transactions on Power Systems

Wenqi Cui

Weiwei Yang

Baosen Zhang

2023/3/21

Leveraging predictions in power system frequency control: An adaptive approach

Wenqi Cui

Guanya Shi

Yuanyuan Shi

Baosen Zhang

2023/12/13

Optimal Inverter-Based Resources Placement in Low-Inertia Power Systems

Atinuke Ademola-Idowu

Baosen Zhang

2023/7/16

Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition

arXiv preprint arXiv:2303.10256

Jochen Stiasny

Spyros Chatzivasileiadis

Baosen Zhang

2023/3/17

Controlling Grid-Connected Inverters under Time-Varying Voltage Constraints

arXiv preprint arXiv:2311.11510

Zixiao Ma

Baosen Zhang

2023/11/20

Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning

Daniel Tabas

Ahmed S Zamzam

Baosen Zhang

2023/6/6

Socially Optimal Energy Usage via Adaptive Pricing

arXiv preprint arXiv:2310.13254

Jiayi Li

Matthew Motoki

Baosen Zhang

2023/10/20

Equilibria of Fully Decentralized Learning in Networked Systems

Yan Jiang

Wenqi Cui

Baosen Zhang

Jorge Cortés

2023/6/6

Learning to solve DCOPF: A duality approach

Electric Power Systems Research

Yize Chen

Ling Zhang

Baosen Zhang

2022/12/1

Reinforcement Learning for Optimal Primary Frequency Control: A Lyapunov Approach

IEEE Transactions on Power Systems

Wenqi Cui

Yan Jiang

Baosen Zhang

2022/5/20

An iterative approach to improving solution quality for AC optimal power flow problems

Ling Zhang

Baosen Zhang

2022/6/28

Learning to Solve the AC Optimal Power Flow via a Lagrangian Approach

Ling Zhang

Baosen Zhang

2022/10/9

Power System Transition with Multiple Flexibility Resources: A Data-Driven Approach

Sustainability

Hao Li

Ying Qiao

Zongxiang Lu

Baosen Zhang

2022/1

See List of Professors in Baosen Zhang University(University of Washington)

Co-Authors

H-index: 92
David Tse

David Tse

Stanford University

H-index: 61
Radha Poovendran

Radha Poovendran

University of Washington

H-index: 56
Ram Rajagopal

Ram Rajagopal

Stanford University

H-index: 45
Alejandro Dominguez-Garcia

Alejandro Dominguez-Garcia

University of Illinois at Urbana-Champaign

H-index: 45
Ramesh Johari

Ramesh Johari

Stanford University

H-index: 37
Javad Lavaei

Javad Lavaei

University of California, Berkeley

academic-engine