26 citations · 27 across the 2 of their papers we have counts for
6 papers
Arbitrage of Energy Storage in Electricity Markets with Deep Reinforcement Learning
Hanchen Xu, Xiao Li, Xiangyu Zhang +1
In this letter, we address the problem of controlling energy storage systems (ESSs) for arbitrage in real-time electricity markets under price uncertainty. We first formulate this…
Data-Driven Online Optimization for Enhancing Power System Oscillation Damping
Zhihao Chen, Hanchen Xu, Junbo Zhang +1
This paper reports an initial work on power system oscillation damping improvement using a data-driven online optimization method. An online oscillation damping optimization mod-el…
Data-driven Voltage Regulation in Radial Power Distribution Systems
Hanchen Xu, Alejandro D. Domínguez-García, Venugopal V. Veeravalli +1
In this paper, we develop a data-driven voltage regulation framework for distributed energy resources (DERs) in a balanced radial power distribution system. The objective is to det…
Learning Dynamical Demand Response Model in Real-Time Pricing Program
Hanchen Xu, Hongbo Sun, Daniel Nikovski +2
Price responsiveness is a major feature of end use customers (EUCs) that participate in demand response (DR) programs, and has been conventionally modeled with static demand functi…
Optimal Tap Setting of Voltage Regulation Transformers Using Batch Reinforcement Learning
Hanchen Xu, Alejandro D. Domínguez-García, Peter W. Sauer
In this paper, we address the problem of setting the tap positions of load tap changers (LTCs) for voltage regulation in radial power distribution systems under uncertain load dyna…
Data-driven Coordination of Distributed Energy Resources for Active Power Provision
Hanchen Xu, Alejandro D. Domínguez-García, Peter W. Sauer
In this paper, we propose a framework for coordinating distributed energy resources (DERs) connected to a power distribution system, the model of which is not completely known, so…