activity
20162026
most citedScheduling of EV Battery Swapping, I: Centralized Solution

7 citations · 19 across the 15 of their papers we have counts for

collaborators

19 papers

cs.LG2026

Distributionally Robust Federated Learning with Multi-Source Data

Yingzhu Liu, Zhongkui Li, Pengcheng You +1

Federated learning trains a shared model from private client data. In practice, data-generating distributions may differ, and the true mixture across clients is often unknown, maki…

eess.SY2026

Learning-Augmented Primal-Dual Control Design for Secondary Frequency Regulation

Yixuan Yu, Rajni K. Bansal, Yan Jiang +1

Frequency stability is fundamental to the secure operation of power systems. With growing uncertainty and volatility introduced by renewable generation, secondary frequency regulat…

eess.SY2025

Coherency Analysis in Nonlinear Heterogeneous Power Networks: A Blended Dynamics Approach

Yixuan Liu, Yingzhu Liu, Pengcheng You

Power system coherency refers to the phenomenon that machines in a power network exhibit similar frequency responses after disturbances, and is foundational for model reduction and…

math.OC2025

Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing

Chengrui Qu, Huiwen Jia, Pengcheng You

We consider decision-making problems under decision-dependent uncertainty (DDU), where the distribution of uncertain parameters depends on the decision variables and is only observ…

math.OC2024

A Unified Analysis of Saddle Flow Dynamics: Stability and Algorithm Design

Pengcheng You, Yingzhu Liu, Enrique Mallada

This work examines the conditions for asymptotic and exponential convergence of saddle flow dynamics of convex-concave functions. First, we propose an observability-based certifica…

cs.CE2024★ 2 cited

Robust Aggregation of Electric Vehicle Flexiblity

Karan Mukhi, Chengrui Qu, Pengcheng You +1

We address the problem of characterizing the aggregate flexibility in populations of electric vehicles (EVs) with uncertain charging requirements. Extending upon prior results that…

eess.SY2024

Online Electricity Purchase for Data Center with Dynamic Virtual Battery from Flexibility Aggregation

Kekun Gao, Yuejun Yan, Yixuan Liu +2

As a critical component of modern infrastructure, data centers account for a huge amount of power consumption and greenhouse gas emission. This paper studies the electricity purcha…

math.OC2024

Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization

Tianqi Zheng, Nicolas Loizou, Pengcheng You +1

Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e.g., in bilinear settings. To address…

math.OC2023

Intercept Function and Quantity Bidding in Two-stage Electricity Market with Market Power Mitigation

Rajni Kant Bansal, Yue Chen, Pengcheng You +1

Electricity markets typically operate in two stages, day-ahead and real-time. Despite best efforts striving efficiency, evidence of price manipulation has called for system-level m…

math.OC2023

Market Power Mitigation in Two-stage Electricity Market with Supply Function and Quantity Bidding

Rajni Kant Bansal, Yue Chen, Pengcheng You +1

The main goal of a sequential two-stage electricity market -- e.g., day-ahead and real-time markets -- is to operate efficiently. However, the price difference across stages due to…

cs.LG2022★ 1 cited

Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

Tianqi Zheng, Pengcheng You, Enrique Mallada

In constrained reinforcement learning (C-RL), an agent seeks to learn from the environment a policy that maximizes the expected cumulative reward while satisfying minimum requireme…

math.OC2021★ 1 cited

On the Stability, Economic Efficiency and Incentive Compatibility of Electricity Market Dynamics

Pengcheng You, Yan Jiang, Enoch Yeung +2

This paper focuses on the operation of an electricity market that accounts for participants that bid at a sub-minute timescale. To that end, we model the market-clearing process as…

math.OC2021

A Market Mechanism for Truthful Bidding with Energy Storage

Rajni Kant Bansal, Pengcheng You, Dennice F. Gayme +1

This paper proposes a market mechanism for multi-interval electricity markets with generator and storage participants. Drawing ideas from supply function bidding, we introduce a no…

math.OC2021

Mechanism Design for Efficient Nash Equilibrium in Oligopolistic Markets

Kaiying Lin, Beibei Wang, Pengcheng You

This paper investigates the efficiency loss in social cost caused by strategic bidding behavior of individual participants in a supply-demand balancing market, and proposes a mecha…

math.OC2020

Storage Degradation Aware Economic Dispatch

R. K. Bansal, P. You, D. F. Gayme +1

In this paper, we formulate a cycling cost aware economic dispatch problem that co-optimizes generation and storage dispatch while taking into account cycle based storage degradati…

math.OC2020

Saddle Flow Dynamics: Observable Certificates and Separable Regularization

Pengcheng You, Enrique Mallada

This paper proposes a certificate, rooted in observability, for asymptotic convergence of saddle flow dynamics of convex-concave functions to a saddle point. This observable certif…

math.OC2019★ 3 cited

The Role of Strategic Load Participants in Two-Stage Settlement Electricity Markets

Pengcheng You, Dennice F. Gayme, Enrique Mallada

Two-stage electricity market clearing is designed to maintain market efficiency under ideal conditions, e.g., perfect forecast and nonstrategic generation. This work demonstrates t…

math.OC2016★ 5 cited

Scheduling of EV Battery Swapping, II: Distributed Solutions

Pengcheng You, Steven H. Low, Liang Zhang +4

In Part I of this paper we formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best station to swap its depleted battery based…

math.OC2016★ 7 cited

Scheduling of EV Battery Swapping, I: Centralized Solution

Pengcheng You, Steven H. Low, Wayes Tushar +4

We formulate an optimal scheduling problem for battery swapping that assigns to each electric vehicle (EV) a best station to swap its depleted battery based on its current location…