Refer to Dr. Chen’s Google Scholar Profile for all publications.
Preprints
[P4] Xiaoyang Wang, Xin Chen, “Distributed Coordination of Grid-Forming and Grid-Following Inverter-Based Resources for Optimal Frequency Control in Power Systems“, arXiv:2411.12682, 2024. [P3] Shengyi Wang, Liang Du, Xin Chen, “Bayesian Active Learning-Based Soft Data Space Calibration for System-Wise Aggregate Flexibility Characterization”, 2024. [P2] Subir Majumder, Xin Chen, Le Xie, “Filter-Based Zeroth-Order Methods for Model-Free Voltage Control in Realistic Distribution Grids”, 2024. [P1] Xin Chen, Jorge I. Poveda, Na Li, “Model-Free Feedback Constrained Optimization Via Projected Primal-Dual Zeroth-Order Dynamics”, arXiv:2206.11123, 2022.Journal Papers
[15] Xin Chen, Andy Sun, Wenbo Shi, Na Li, “Carbon-Aware Optimal Power Flow”, accepted to IEEE Transactions on Power Systems, 2024.[14] Xin Chen, Hungpo Chao, Wenbo Shi, Na Li, “Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization”, accepted to IET Energy Conversion and Economics, 2024. [13] Xin Chen*, Jorge I. Poveda*, Na Li, “Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees”, accepted to IEEE Transactions on Automatic Control, 2024. (*equal contribution) [12] Xin Chen, “Enhance Low-Carbon Power System Operation via Carbon-Aware Demand Response“, IET Energy Internet, e12004, Oct. 2024. [11] Xin Chen, “Xin Chen [Ph.D.s in Control]“, IEEE Control Systems Magazine, vol. 44, no. 2, pp. 110-112, April 2024. [10] Xin Chen, Guannan Qu, Yujie Tang, Steven Low, Na Li, “Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges”, IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 2935-2958, July 2022. (IEEE Transactions on Smart Grid Top-5 Outstanding Paper in 2020 – 2022) [9] Xin Chen, Yingying Li, Jun Shimada, Na Li, “Online Learning and Distributed Control for Residential Demand Response”, IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 4843-4853, Nov. 2021. [8] Xin Chen, Na Li, “Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation”, IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 3954-3965, Sept. 2021. [7] Xin Chen, Changhong Zhao, Na Li, “Distributed Automatic Load-frequency Control with Optimality in Power Systems,” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 307-318, March 2021. [6] Xin Chen, Yutong Nie, Na Li, “Online Residential Demand Response via Contextual Multi-Armed Bandits,” IEEE Control Systems Letters, vol. 5, no. 2, pp. 433-438, April 2021. [5] Xin Chen, Emiliano Dall’Anese, Changhong Zhao, Na Li, “Aggregate Power Flexibility in Unbalanced Distribution Systems,” IEEE Transactions on Smart Grid, vol. 11, no. 1, pp. 258-269, Jan. 2020. [4] Chenhui Lin, Wenchuan Wu, Xin Chen, Weiye Zheng, “Decentralized Dynamic Economic Dispatch for Integrated Transmission and Active Distribution Networks Using Multi-parametric Programming,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 4983-4993, Sept. 2018. [3] Xin Chen, Wenchuan Wu, Boming Zhang, “Robust Capacity Assessment of Distributed Generation in Unbalanced Distribution Networks Incorporating ANM Techniques,” IEEE Transactions on Sustainable Energy, vol. 9, no. 2, pp. 651-663, April 2018. [2] Xin Chen, Wenchuan Wu, Boming Zhang, Chenhui Lin, “Data-driven DG Capacity Assessment Method for Active Distribution Networks,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3946-3957, Sept. 2017. [1] Xin Chen, Wenchuan Wu, Boming Zhang, “Robust Restoration Method for Active Distribution Networks,” IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 4005-4015, Sept. 2016.
Machine Learning Conference Publications
[2] Xin Chen, Yujie Tang, Na Li, “Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters”, 39th International Conference on Machine Learning (ICML), Baltimore, MD, USA, 2022. [1] Yingying Li, Xin Chen, Na Li, “Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis,” Conference on Neural Information Processing Systems (NeurIPS), 2019.Power/Control Conference Publications
[6] Xin Chen, I-hong Hou, “Contextual Restless Multi-Armed Bandits with Application to Demand Response Decision-Making“, IEEE Conference on Decision and Control (CDC), Milan, Italy, 2024. [5] Xin Chen, Jorge I. Poveda, Na Li, “Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods”, 60th IEEE Conference on Decision and Control (CDC), Austin, Texas, USA, 2021. (Outstanding Student Paper Award) [Full Version] [4] Xin Chen, Yutong Nie, Na Li, “Online Residential Demand Response via Contextual Multi-Armed Bandits,” 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Korea, 2020. [3] Xin Chen, Na Li, “Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity,” 2020 American Control Conference (ACC), Denver, USA, pp. 1612-1618, 2020. [2] Xin Chen, Changhong Zhao, Na Li, “Distributed Automatic Load-frequency Control with Optimality in Power Systems,” 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, pp. 24-31, 2018. (Best Student Paper Award Finalists) [1] Xin Chen, Wenchuan Wu, Boming Zhang, “A Robust Approach for Active Distribution Network Restoration Based on Scenario Techniques Considering Load and DG Uncertainties,” IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 2016. (Best Conference Paper Award)