177 citations · 344 across the 23 of their papers we have counts for
7 papers · 1 filter
Predicting Strategic Energy Storage Behaviors
Yuexin Bian, Ningkun Zheng, Yang Zheng +2
Energy storage are strategic participants in electricity markets to arbitrage price differences. Future power system operators must understand and predict strategic storage arbitra…
Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors
Joshua Jaworski, Ningkun Zheng, Matthias Preindl +1
The surging adoption of electric vehicles (EV) calls for accurate and efficient approaches to coordinate with the power grid operation. By being responsive to distribution grid lim…
Energy Storage Price Arbitrage via Opportunity Value Function Prediction
Ningkun Zheng, Xiaoxiang Liu, Bolun Xu +1
This paper proposes a novel energy storage price arbitrage algorithm combining supervised learning with dynamic programming. The proposed approach uses a neural network to directly…
Energy Storage State-of-Charge Market Model
Ningkun Zheng, Xin Qin, Di Wu +2
This paper introduces and rationalizes a new model for bidding and clearing energy storage resources in wholesale energy markets. Charge and discharge bids in this model depend on…
End-to-End Demand Response Model Identification and Baseline Estimation with Deep Learning
Yuanyuan Shi, Bolun Xu
This paper proposes a novel end-to-end deep learning framework that simultaneously identifies demand baselines and the incentive-based agent demand response model, from the net dem…
A Data-driven Nonlinear Recharge Controller for Energy Storage in Frequency Regulation
Wenting Ma, Bolun Xu
Battery energy storage boosts up the response speed of power system frequency regulation, but must be recharged carefully to minimize the distortion to the frequency regulation res…
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains
Yuanyuan Shi, Bolun Xu, Di Wang +1
We consider using a battery storage system simultaneously for peak shaving and frequency regulation through a joint optimization framework which captures battery degradation, opera…