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Electric vehicle (EV) charging patterns are highly uncertain in both location, time, and duration particularly in association with the predicted high demand for electric mobility in the future. An EV can be charged at home, at charging…

Optimization and Control · Mathematics 2022-04-06 Leila Hajibabai , Amir Mirheli

This study proposes a bi-level optimization program to represent the electric vehicle (EV) charging infrastructure design and utilization management problem with user-equilibrium (UE) decisions. The upper level aims to minimize total…

Optimization and Control · Mathematics 2021-05-25 Amir Mirheli , Leila Hajibabai

This paper extends our previous work in [1],[2], on optimal scheduling of autonomous vehicle arrivals at intersections, from one to a grid of intersections. A scalable distributed Mixed Integer Linear Program (MILP) is devised that solves…

Systems and Control · Electrical Eng. & Systems 2020-07-15 Faraz Ashtiani , S. Alireza Fayazi , Ardalan Vahidi

Integration of plug-in electric vehicles (PEVs) with distributed renewable resources will decrease PEVs' well-to-wheels greenhouse gas emissions, promote renewable power adoption and defer power system investments. This paper proposes a…

Optimization and Control · Mathematics 2017-03-16 Hongcai Zhang , Scott J. Moura , Zechun Hu , Wei Qi , Yonghua Song

This paper investigates the economic impact of vehicle-home-grid integration through an online optimization algorithm that manages energy flows between an electric vehicle, a household, and the electrical grid. The algorithm exploits…

Systems and Control · Electrical Eng. & Systems 2026-04-23 Francesco Popolizio , Torsten Wik , Chih Feng Lee , Changfu Zou

Due to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power…

Systems and Control · Computer Science 2016-10-06 Albert Y. S. Lam , Ka-Cheong Leung , Victor O. K. Li

This paper offers a strategic approach to Electric Vehicles (EVs) charging network planning, emphasizing the integration of demand and supply dynamics via continuous-time fluid queue models and discrete flow refueling location modeling, all…

Optimization and Control · Mathematics 2025-04-18 Xiangyong Luo , Michael J. Kuby , Yudai Honma , Mouna Kchaou-Boujelben , Xuesong , Zhou

The increasing number of Electric Vehicles (EVs) have led to rising energy demands which aggregates the burden on grid supply. A few solutions have been proposed to reduce grid load, for example, using storage systems for storing surplus…

Systems and Control · Electrical Eng. & Systems 2023-12-14 Ferheen Ayaz , Maziar Nekovee

This paper proposes a grid-aware scheduling and control framework for Electric Vehicle Charging Stations (EVCSs) for dispatching the operation of an active power distribution network. The framework consists of two stages. In the first…

Systems and Control · Electrical Eng. & Systems 2024-04-22 Rahul K. Gupta , Sherif Fahmy , Max Chevron , Riccardo Vasapollo , Enea Figini , Mario Paolone

The rapid growth of decentralized energy resources and especially Electric Vehicles (EV), that are expected to increase sharply over the next decade, will put further stress on existing power distribution networks, increasing the need for…

Machine Learning · Computer Science 2023-10-16 Christoforos Menos-Aikateriniadis , Stavros Sykiotis , Pavlos S. Georgilakis

This paper investigates the problem of bidirectional energy exchange between electric vehicles (EVs) and road lanes embedded with wireless power transfer technologies called wireless charging-discharging lanes (WCDLs). As such, EVs could…

Systems and Control · Electrical Eng. & Systems 2020-08-31 Dinh Hoa Nguyen

This paper addresses stochastic charger location and allocation problems under queue congestion for last-mile delivery using electric vehicles (EVs). The objective is to decide where to open charging stations and how many chargers of each…

Optimization and Control · Mathematics 2026-02-17 Waquar Kaleem , Taner Cokyasar , Jeffrey Larson , Omer Verbas , Tanveer Hossain Bhuiyan , Anirudh Subramanyam

Mobile energy storage devices (MESDs) operate as medium- or large-sized batteries that can be loaded onto electric trucks and connected to charging stations to provide various ancillary services for distribution grids. This paper proposes a…

Systems and Control · Electrical Eng. & Systems 2019-11-20 Young-Jin Kim

Vehicle-to-vehicle (V2V) energy trading enables decentralized peer-to-peer energy exchange among electric vehicles (EVs), reducing grid dependency while monetizing surplus capacity. However, coordinating self-interested EV agents with…

Optimization and Control · Mathematics 2026-05-22 Yujin Lin , Yue Yang , Hao Wang

The logistical challenges and high costs associated with procuring and transporting fuel to remote military bases underscore the need for sustainable and resilient energy solutions. Integrating renewable energy sources and electric vehicles…

Optimization and Control · Mathematics 2025-08-19 Nathan Cho , Andrea Lodi , Anna Scaglione

Many industrial sites and digital logistics platforms rely on diesel-powered light-duty trucks to transport workers and small-scale facilities, which results in a significant amount of greenhouse gas emissions (GHGs). To address this, we…

Systems and Control · Electrical Eng. & Systems 2026-02-10 Yifu Ding , Ruicheng Ao , Pablo Duenas-Martinez , Thomas Magnanti

The concept of vehicle-to-grid (V2G) has gained recent interest as more and more electric vehicles (EVs) are put to use. In this paper, we consider a dynamic aggregator-EVs system, where an aggregator centrally coordinates a large number of…

Systems and Control · Computer Science 2016-11-18 Sun Sun , Min Dong , Ben Liang

We study how high charging rate demands from electric vehicles (EVs) in a power distribution grid may collectively cause poor dynamic performance, and propose a price incentivization strategy to steer customers to settle for lesser charging…

Optimization and Control · Mathematics 2025-08-26 Amit Kumer Podder , Tomonori Sadamoto , Aranya Chakrabortty

Plug-in electrical vehicles (PEV) are capable of both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) power transfer. The advantages of developing V2G include an additional revenue stream for cleaner vehicles, increased stability and…

Systems and Control · Computer Science 2015-06-24 Andrej Gajduk , Vladimir Zdraveski , Lasko Basnarkov , Mirko Todorovski , Ljupco Kocarev

Strategic aggregation of electric vehicle batteries as energy reservoirs can optimize power grid demand, benefiting smart and connected communities, especially large office buildings that offer workplace charging. This involves optimizing…

Machine Learning · Computer Science 2025-02-27 Fangqi Liu , Rishav Sen , Jose Paolo Talusan , Ava Pettet , Aaron Kandel , Yoshinori Suzue , Ayan Mukhopadhyay , Abhishek Dubey