193 citations · 361 across the 40 of their papers we have counts for
23 papers · 1 filter
Achieving Social Optimum and Budget Balance via a Joint Electricity-Carbon Pricing Mechanism
Yue Chen, Changhong Zhao
Decarbonizing electric grids is a crucial global endeavor in the pursuit of carbon neutrality. Taking carbon emissions from generation into account when pricing electricity usage i…
Real-Time Bidding Strategy of Energy Storage in an Energy Market with Carbon Emission Allocation Based on Aumann-Shapley Prices
Rui Xie, Yue Chen
Energy storage (ES) can help decarbonize power systems by transferring green renewable energy across time. How to unlock the potential of ES in cutting carbon emissions by appropri…
An Online Algorithm for Combined Computing Workload and Energy Coordination Within A Regional Data Center Cluster
Shihan Huang, Dongxiang Yan, Yue Chen
Regional data center clusters have flourished in recent years to serve customers in a major city with low latency. The optimal coordination of data centers in a regional cluster ha…
Real-time Feedback Based Online Aggregate EV Power Flexibility Characterization
Dongxiang Yan, Shihan Huang, Yue Chen
As an essential measure to combat global warming, electric vehicles (EVs) have witnessed rapid growth. Flexible EVs can enhance power systems' ability to handle renewable generatio…
Robust Generation Dispatch with Purchase of Renewable Power and Load Predictions
Rui Xie, Pierre Pinson, Yin Xu +1
The increasing use of renewable energy sources (RESs) and responsive loads has made power systems more uncertain. Meanwhile, thanks to the development of advanced metering and fore…
A Distributed Online Algorithm for Promoting Energy Sharing Between EV Charging Stations
Dongxiang Yan, Yue Chen
In recent years, electric vehicle (EV) charging station has experienced an increasing supply-demand mismatch due to its fluctuating renewables and unpredictable charging demand. To…
Robust Generation Dispatch with Strategic Renewable Power Curtailment and Decision-Dependent Uncertainty
Yue Chen, Wei Wei
As renewable energy sources replace traditional power sources (such as thermal generators), uncertainty grows while there are fewer controllable units. To reduce operational risks…
Flexibility Requirement when Tracking Renewable Power Fluctuation with Peer-to-Peer Energy Sharing
Yue Chen, Wei Wei, Mingxuan Li +2
Flexible load at the demand-side has been regarded as an effective measure to cope with volatile distributed renewable generations. To unlock the demand-side flexibility, this pape…
Improved Approximation of Dispatchable Region in Radial Distribution Networks via Dual SOCP
Yue Chen, Changhong Zhao
The concept of dispatchable region is useful in quantifying how much renewable generation power the system can handle. In this paper, we aim to provide an improved dispatchable reg…
An Improved Surrogate Method for Solving the Energy Storage Optimal Bidding Problem
Yue Chen, Wei Wei, Tongxin Li +3
Energy storage is expected to play an increasingly important role in mitigating variations that come along with the growing penetration of renewable energy. In this paper, we study…
An Energy Sharing Mechanism Achieving the Same Flexibility as Centralized Dispatch
Yue Chen, Wei Wei, Han Wang +2
Deploying distributed renewable energy at the demand side is an important measure to implement a sustainable society. However, the massive small solar and wind generation units are…
Learning-Based Predictive Control via Real-Time Aggregate Flexibility
Tongxin Li, Bo Sun, Yue Chen +3
Aggregators have emerged as crucial tools for the coordination of distributed, controllable loads. To be used effectively, an aggregator must be able to communicate the available f…
Approaching Prosumer Social Optimum via Energy Sharing with Proof of Convergence
Yue Chen, Changhong Zhao, Steven H. Low +1
With the advent of prosumers, the traditional centralized operation may become impracticable due to computational burden, privacy concerns, and conflicting interests. In this paper…
Decentralized Provision of Renewable Predictions within a Virtual Power Plant
Yue Chen, Tongxin Li, Changhong Zhao +1
The mushrooming of distributed energy resources turns end-users from passive price-takers to active market participants. To manage those massive proactive end-users efficiently, vi…
Multi-Level Optimal Power Flow Solver in Large Distribution Networks
Xinyang Zhou, Yue Chen, Zhiyuan Liu +2
Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topolog…
Sufficient Conditions for Exact Semidefinite Relaxation of Optimal Power Flow in Unbalanced Multiphase Radial Networks
Fengyu Zhou, Yue Chen, Steven H. Low
This paper proves that in an unbalanced multi-phase network with a tree topology, the semidefinite programming relaxation of optimal power flow problems is exact when critical buse…
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow
Yue Chen, Andrey Bernstein, Adithya Devraj +1
This paper examines the problem of real-time optimization of networked systems and develops online algorithms that steer the system towards the optimal trajectory without explicit…
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback
Yi Guo, Xinyang Zhou, Changhong Zhao +3
Conventional optimal power flow (OPF) solvers assume full observability of the involved system states. However, in practice, there is a lack of reliable system monitoring devices i…
Buy or Sell? Energy Sharing of Prosumers on Constrained Networks
Yue Chen, Shengwei Mei, Wei Wei +3
The advent of intelligent agents who produce and consume energy by themselves has led the smart grid into the era of "prosumer", offering the energy system and customers a unique o…
An Energy Sharing Game with Generalized Demand Bidding: Model and Properties
Yue Chen, Shengwei Mei, Fengyu Zhou +3
This paper proposes a novel energy sharing mechanism for prosumers who can produce and consume. Different from most existing works, the role of individual prosumer as a seller or b…
Optimal Rate of Convergence for Quasi-Stochastic Approximation
Andrey Bernstein, Yue Chen, Marcello Colombino +3
The Robbins-Monro stochastic approximation algorithm is a foundation of many algorithmic frameworks for reinforcement learning (RL), and often an efficient approach to solving (or…
Individual risk in mean-field control models for decentralized control, with application to automated demand response
Yue Chen, Ana Bušić, Sean Meyn
Flexibility of energy consumption can be harnessed for the purposes of ancillary services in a large power grid. In prior work by the authors a randomized control architecture is i…
Ancillary Service to the Grid Using Intelligent Deferrable Loads
Sean Meyn, Prabir Barooah, Ana Bušić +2
Renewable energy sources such as wind and solar power have a high degree of unpredictability and time-variation, which makes balancing demand and supply challenging. One possible w…