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20122025
most citedOptimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

257 citations · 519 across the 43 of their papers we have counts for

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23 papers · 1 filter

eess.SY2023

Safe Pricing Mechanisms for Distributed Resource Allocation with Bandit Feedback

Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh

In societal-scale infrastructures, such as electric grids or transportation networks, pricing mechanisms are often used as a way to shape users' demand in order to lower operating…

eess.SY2022

A Deployable Online Optimization Framework for EV Smart Charging with Real-World Test Cases

Nathaniel Tucker, Mahnoosh Alizadeh

We present a customizable online optimization framework for real-time EV smart charging to be readily implemented at real large-scale charging facilities. Notably, due to real-worl…

eess.SY2022

Real-Time Electric Vehicle Smart Charging at Workplaces: A Real-World Case Study

Nathaniel Tucker, Gustavo Cezar, Mahnoosh Alizadeh

We study a real-time smart charging algorithm for electric vehicles (EVs) at a workplace parking lot in order to minimize electricity cost from time-of-use electricity rates and de…

eess.SY2021

An Online Scheduling Algorithm for a Community Energy Storage System

Nathaniel Tucker, Mahnoosh Alizadeh

In this paper, we consider a community energy storage (CES) system that is shared by various electricity consumers who want to charge and discharge the CES throughout a given time…

eess.SY2021

The Division of Assets in Multiagent Systems: A Case Study in Team Blotto Games

Keith Paarporn, Rahul Chandan, Mahnoosh Alizadeh +1

Multi-agent systems are designed to concurrently accomplish a diverse set of tasks at unprecedented scale. Here, the central problems faced by a system operator are to decide (i) h…

eess.SY2019

Mobility-Aware Smart Charging of Electric Bus Fleets

Ahmadreza Moradipari, Nathaniel Tucker, Tuo Zhang +2

We study the joint route assignment and charge scheduling problem of a transit system dispatcher operating a fleet of electric buses in order to maximize solar energy integration a…

eess.SY2019

Dynamic Pricing and Fleet Management for Electric Autonomous Mobility on Demand Systems

Berkay Turan, Ramtin Pedarsani, Mahnoosh Alizadeh

The proliferation of ride sharing systems is a major drive in the advancement of autonomous and electric vehicle technologies. This paper considers the joint routing, battery charg…

eess.SY2019★ 1 cited

The Impact of Complex and Informed Adversarial Behavior in Graphical Coordination Games

Keith Paarporn, Brian Canty, Philip N. Brown +2

How does system-level information impact the ability of an adversary to degrade performance in a networked control system? How does the complexity of an adversary's strategy affect…

eess.SY2019

Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints

Nathaniel Tucker, Ahmadreza Moradipari, Mahnoosh Alizadeh

We consider the problem of an aggregator attempting to learn customers' load flexibility models while implementing a load shaping program by means of broadcasting daily dispatch si…

eess.SY2019

Online Charge Scheduling for Electric Vehicles in Autonomous Mobility on Demand Fleets

Nathaniel Tucker, Berkay Turan, Mahnoosh Alizadeh

In this paper, we study an online charge scheduling strategy for fleets of autonomous-mobility-on-demand electric vechicles (AMoD EVs). We consider the case where vehicles complete…

eess.SY2019★ 15 cited

Smart Charging Benefits in Autonomous Mobility on Demand Systems

Berkay Turan, Nathaniel Tucker, Mahnoosh Alizadeh

In this paper, we study the potential benefits from smart charging for a fleet of electric vehicles (EVs) providing autonomous mobility-on-demand (AMoD) services. We first consider…

eess.SY2019★ 9 cited

A risk-security tradeoff in graphical coordination games

Keith Paarporn, Mahnoosh Alizadeh, Jason R. Marden

A system relying on the collective behavior of decision-makers can be vulnerable to a variety of adversarial attacks. How well can a system operator protect performance in the face…

eess.SY2019★ 1 cited

An Online Admission Control Mechanism for Electric Vehicles at Public Parking Infrastructures

Nathaniel Tucker, Mahnoosh Alizadeh

We study an online reservation system that allows electric vehicles (EVs) to park and charge at parking facilities equipped with electric vehicle supply equipment (EVSEs). We consi…

eess.SY2019

Pricing and Routing Mechanisms for Differentiated Services in an Electric Vehicle Public Charging Station Network

Ahmadreza Moradipari, Mahnoosh Alizadeh

We consider a Charging Network Operator (CNO) that owns a network of Electric Vehicle (EV) public charging stations and wishes to offer a menu of differentiated service options for…

eess.SY2018★ 1 cited

Mobility-Aware Electric Vehicle Fast Charging Load Models with Geographical Price Variations

Ahmadreza Moradipari, Nathaniel Tucker, Mahnoosh Alizadeh

We study the traffic patterns as well as the charging patterns of a population of cost-minimizing EV owners traveling and charging within a transportation network equipped with fas…

eess.SY2017

On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms

Federico Rossi, Ramon Iglesias, Mahnoosh Alizadeh +1

We study the interaction between a fleet of electric, self-driving vehicles servicing on-demand transportation requests (referred to as Autonomous Mobility-on-Demand, or AMoD, syst…

eess.SY2015★ 257 cited

Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

Mahnoosh Alizadeh, Hoi-To Wai, Mainak Chowdhury +3

We study the system-level effects of the introduction of large populations of Electric Vehicles on the power and transportation networks. We assume that each EV owner solves a deci…

eess.SY2014★ 2 cited

Scalable and Anonymous Modeling of Large Populations of Flexible Appliances

Mahnoosh Alizadeh, Anna Scaglione, Andy Applebaum +2

To respond to volatility and congestion in the power grid, demand response (DR) mechanisms allow for shaping the load compared to a base load profile. When tapping on a large popul…

eess.SY2014★ 12 cited

Capturing Aggregate Flexibility in Demand Response

Mahnoosh Alizadeh, Anna Scaglione, Andrea Goldsmith +1

Flexibility in electric power consumption can be leveraged by Demand Response (DR) programs. The goal of this paper is to systematically capture the inherent aggregate flexibility…

eess.SY2013★ 2 cited

Incentive Design for Direct Load Control Programs

Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione +1

We study the problem of optimal incentive design for voluntary participation of electricity customers in a Direct Load Scheduling (DLS) program, a new form of Direct Load Control (…

eess.SY2013★ 4 cited

Clustering Consumption in Queues: A Scalable Model for Electric Vehicle Scheduling

Mahnoosh Alizadeh, George Kesidis, Anna Scaglione

In this paper, we introduce a scalable model for the aggregate electricity demand of a fleet of electric vehicles, which can provide the right balance between model simplicity and…

eess.SY2013

Real-Time Power Balancing via Decentralized Coordinated Home Energy Scheduling

Tsung-Hui Chang, Mahnoosh Alizadeh, Anna Scaglione

It is anticipated that an uncoordinated operation of individual home energy management (HEM) systems in a neighborhood would have a rebound effect on the aggregate demand profile.…

eess.SY2012★ 9 cited

Coordinated Home Energy Management for Real-Time Power Balancing

Tsung-Hui Chang, Mahnoosh Alizadeh, Anna Scaglione

This paper proposes a coordinated home energy management system (HEMS) architecture where the distributed residential units cooperate with each other to achieve real-time power bal…