93 citations · 337 across the 23 of their papers we have counts for
23 papers
Unlocking Deep Demand Flexibility via Dynamic Signals
Xinyang Zhou, Jing Shang, Andrey Bernstein +3
The rapid proliferation of distributed energy resources (DERs) and the electrification of residential loads offer significant potential for grid flexibility but pose stability chal…
A Hierarchical OPF Algorithm with Improved Gradient Evaluation in Three-Phase Networks
Heng Liang, Xinyang Zhou, Changhong Zhao
Linear approximation commonly used in solving alternating-current optimal power flow (AC-OPF) simplifies the system models but incurs accumulated voltage errors in large power netw…
Hierarchical Optimal Power Flow with Improved Gradient Evaluation
Heng Liang, Xinyang Zhou, Changhong Zhao
Existing algorithms to solve alternating-current optimal power flow (AC-OPF) often exploit linear approximations to simplify system models and accelerate computations. In this pape…
An Online Joint Optimization-Estimation Architecture for Distribution Networks
Yi Guo, Xinyang Zhou, Changhong Zhao +3
In this paper, we propose an optimal control-estimation architecture for distribution networks, which jointly solves the optimal power flow (OPF) problem and static state estimatio…
Incorporate Day-ahead Robustness and Real-time Incentives for Electricity Market Design
Yi Guo, Xuejiao Han, Xinyang Zhou +1
In this paper, we propose a two-stage electricity market framework to explore the participation of distributed energy resources (DERs) in a day-ahead (DA) market and a real-time (R…
Online Distribution System State Estimation via Stochastic Gradient Algorithm
Jianqiao Huang, Xinyang Zhou, Bai Cui
Distribution network operation is becoming more challenging because of the growing integration of intermittent and volatile distributed energy resources (DERs). This motivates the…
A Generalized LinDistFlow Model for Power Flow Analysis
Jianqiao Huang, Bai Cui, Xinyang Zhou +1
This paper proposes a new linear power flow model for distribution system with accurate voltage magnitude estimates. The new model can be seen as a generalization of LinDistFlow mo…
Panorama: A Framework to Support Collaborative Context Monitoring on Co-Located Mobile Devices
Khaled Alanezi, Xinyang Zhou, Lijun Chen +1
A key challenge in wide adoption of sophisticated context-aware applications is the requirement of continuous sensing and context computing. This paper presents Panorama, a middlew…
Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems
Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein +2
The increasing penetration of distributed energy resources (DERs) in the distribution networks has turned the conventionally passive load buses into active buses that can provide g…
Optimal Power Flow with State Estimation In the Loop for Distribution Networks
Yi Guo, Xinyang Zhou, Changhong Zhao +2
We propose a framework for integrating optimal power flow (OPF) with state estimation (SE) in the loop for distribution networks. Our approach combines a primal-dual gradient-based…
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…
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…
Matrix Completion Using Alternating Minimization for Distribution System State Estimation
Yajing Liu, April Sagan, Andrey Bernstein +3
This paper examines the problem of state estimation in power distribution systems under low-observability conditions. The recently proposed constrained matrix completion method whi…
Gradient-Based Multi-Area Distribution System State Estimation
Xinyang Zhou, Zhiyuan Liu, Yi Guo +3
The increasing distributed and renewable energy resources and controllable devices in distribution systems make fast distribution system state estimation (DSSE) crucial in system m…
Accelerated Voltage Regulation in Multi-Phase Distribution Networks Based on Hierarchical Distributed Algorithm
Xinyang Zhou, Zhiyuan Liu, Changhong Zhao +1
We propose a hierarchical distributed algorithm to solve optimal power flow (OPF) problems that aim at dispatching controllable distributed energy resources (DERs) for voltage regu…
Signal-Anticipation in Local Voltage Control in Distribution Systems
Zhiyuan Liu, Seungil You, Xinyang Zhou +2
We consider the signal-anticipating behavior in local Volt/Var control for distribution systems. Such a behavior makes interaction among the nodes a game. We characterize Nash equi…
Hierarchical Distributed Voltage Regulation in Networked Autonomous Grids
Xinyang Zhou, Zhiyuan Liu, Wenbo Wang +3
We propose a novel algorithm to solve optimal power flow (OPF) that aims at dispatching controllable distributed energy resources (DERs) for voltage regulation at minimum cost. The…
Reverse and Forward Engineering of Local Voltage Control in Distribution Networks
Xinyang Zhou, Masoud Farivar, Zhiyuan Liu +2
The increasing penetration of renewable and distributed energy resources in distribution networks calls for real-time and distributed voltage control. In this paper we investigate…
Online Stochastic Optimization of Networked Distributed Energy Resources
Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen
This paper investigates distributed control and incentive mechanisms to coordinate distributed energy resources (DERs) with both continuous and discrete decision variables as well…
Stochastic Dual Algorithm for Voltage Regulation in Distribution Networks with Discrete Loads
Xinyang Zhou, Zhiyuan Liu, Emiliano Dall'Anese +1
This paper considers power distribution networks with distributed energy resources and designs an incentive-based algorithm that allows the network operator and customers to pursue…
Demand Shaping in Cellular Networks
Xinyang Zhou, Lijun Chen
Demand shaping is a promising way to mitigate the wireless cellular capacity shortfall in the presence of ever-increasing wireless data demand. In this paper, we formulate demand s…
An Incentive-Based Online Optimization Framework for Distribution Grids
Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen +1
This paper formulates a time-varying social-welfare maximization problem for distribution grids with distributed energy resources (DERs) and develops online distributed algorithms…
Pseudo-gradient Based Local Voltage Control in Distribution Networks
Xinyang Zhou, Masoud Farivar, Lijun Chen
Voltage regulation is critical for power grids. However, it has become a much more challenging problem as distributed energy resources (DERs) such as photovoltaic and wind generato…