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20112023
most citedGeometry of Power Flows and Optimization in Distribution Networks

184 citations · 971 across the 87 of their papers we have counts for

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Showing 2017Show all

24 papers · 1 filter

math.OC2017★ 20 cited

Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems

Zeyu Wang, Daniel S. Kirschen, Baosen Zhang

In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical S…

math.OC2017★ 14 cited

Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks

Yize Chen, Yuanyuan Shi, Baosen Zhang

Modern buildings encompass complex dynamics of multiple electrical, mechanical, and control systems. One of the biggest hurdles in applying conventional model-based optimization an…

eess.SY2017★ 76 cited

Energy Storage Arbitrage in Real-Time Markets via Reinforcement Learning

Hao Wang, Baosen Zhang

In this paper, we derive a temporal arbitrage policy for storage via reinforcement learning. Real-time price arbitrage is an important source of revenue for storage units, but desi…

math.OC2017★ 8 cited

An Unsupervised Deep Learning Approach for Scenario Forecasts

Yize Chen, Xiyu Wang, Baosen Zhang

In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts hori…

math.OC2017★ 7 cited

Non-Wire Alternatives to Capacity Expansion

Jesus E. Contreras-Ocaña, Uzma Siddiqi, Baosen Zhang

Distributed energy resources (DERs) can serve as non-wire alternatives to capacity expansion by managing peak load to avoid or defer traditional expansion projects. In this paper,…

math.OC2017★ 6 cited

Optimal Battery Participation in Frequency Regulation Markets

Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1

Battery participants in performance-based frequency regulation markets must consider the cost of battery aging in their operating strategies to maximize market profits. In this pap…

cs.GT2017★ 1 cited

Uncertainty in Multi-Commodity Routing Networks: When does it help?

Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff +1

We study the equilibrium behavior in a multi-commodity selfish routing game with many types of uncertain users where each user over- or under-estimates their congestion costs by a…

math.OC2017★ 7 cited

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings

Yuanyuan Shi, Bolun Xu, Yushi Tan +2

We study the optimal control of battery energy storage under a general "pay-for-performance" setup such as providing frequency regulation and renewable integration. In these settin…

math.OC2017

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

Nicolo Mazzi, Baosen Zhang, Daniel S. Kirschen

Power systems are increasingly operated in corrective rather than preventive security mode, which means that appropriate control actions must be taken immediately after a contingen…

eess.SY2017

Participation of an Energy Storage Aggregator in Electricity Markets

Jesus E. Contreras-Ocana, Miguel A. Ortega-Vazquez, Baosen Zhang

An important function of aggregators is to enable the participation of small energy storage units in electricity markets. This paper studies two generally overlooked aspects relate…

math.OC2017★ 3 cited

Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach

Pan Li, Baosen Zhang

Demand response aims to stimulate electricity consumers to modify their loads at critical time periods. In this paper, we consider signals in demand response programs as a binary t…

math.OC2017★ 3 cited

Economic Dispatch Considering Spatial and Temporal Correlations of Multiple Renewable Power Plants

Chenghui Tang, Yishen Wang, Jian Xu +2

The correlations of multiple renewable power plants (RPPs) should be fully considered in the power system with very high penetration renewable power integration. This paper models…

cs.LG2017★ 3 cited

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

Yize Chen, Yishen Wang, Daniel Kirschen +1

Scenario generation is an important step in the operation and planning of power systems with high renewable penetrations. In this work, we proposed a data-driven approach for scena…

math.OC2017★ 3 cited

A Geometric Analysis of Power System Loadability Regions

Y. Weng, R. Rajagopal, B. Zhang

Understanding the feasible power flow region is of central importance to power system analysis. In this paper, we propose a geometric view of the power system loadability problem.…

math.OC2017

A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation

Yuanyuan Shi, Bolun Xu, Yushi Tan +1

A vital aspect in energy storage planning and operation is to accurately model its operational cost, which mainly comes from the battery cell degradation. Battery degradation can b…

math.OC2017★ 1 cited

Distribution System Voltage Control under Uncertainties using Tractable Chance Constraints

Pan Li, Baihong Jin, Dai Wang +1

Voltage control plays an important role in the operation of electricity distribution networks, especially with high penetration of distributed energy resources. These resources int…

math.OC2017★ 7 cited

Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms

Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1

When providing frequency regulation in a pay-for-performance market, batteries need to carefully balance the trade-off between following regulation signals and their degradation co…

math.OC2017★ 4 cited

Optimizing Curbside Parking Resources Subject to Congestion Constraints

Chase Dowling, Tanner Fiez, Lillian Ratliff +1

To gain theoretical insight into the relationship between parking scarcity and congestion, we describe block-faces of curbside parking as a network of queues. Due to the nature of…

cs.LG2017★ 89 cited

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

Hossein Hosseini, Yize Chen, Sreeram Kannan +2

Advances in Machine Learning (ML) have led to its adoption as an integral component in many applications, including banking, medical diagnosis, and driverless cars. To further broa…

cs.LG2017★ 134 cited

Deceiving Google's Perspective API Built for Detecting Toxic Comments

Hossein Hosseini, Sreeram Kannan, Baosen Zhang +1

Social media platforms provide an environment where people can freely engage in discussions. Unfortunately, they also enable several problems, such as online harassment. Recently,…

math.OC2017★ 2 cited

Information Management for Decentralized Energy Storages under Market Uncertainties

Qiao-Chu He, Yun Yang, Baosen Zhang

In this paper, we propose a model of decentralized energy storages, who serve as instruments to shift energy supply intertemporally. From storages' perspective, we investigate thei…

eess.SY2017★ 24 cited

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…

cs.CY2017★ 13 cited

How Much Urban Traffic is Searching for Parking? Simulating Curbside Parking as a Network of Finite Capacity Queues

Chase Dowling, Tanner Fiez, Lillian Ratliff +1

With the increasing availability of transaction data collected by digital parking meters, paid curbside parking can be advantageously modeled as a network of interdependent queues.…

math.OC2017★ 1 cited

A Distributed Online Pricing Strategy for Demand Response Programs

Pan Li, Hao Wang, Baosen Zhang

We study a demand response problem from utility (also referred to as operator)'s perspective with realistic settings, in which the utility faces uncertainty and limited communicati…