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Optimal deployment of public charging stations for plug-in hybrid electric vehicles

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TLDR
In this article, the authors developed an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs.
Abstract
This paper develops an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs. The modeling framework is then applied to determine an optimal allocation of a given number of public charging stations among metropolitan areas in the region to maximize social welfare associated with the coupled networks. The allocation model is formulated as a mathematical program with complementarity constraints, and is solved by an active-set algorithm. Numerical examples are presented to demonstrate the models and offer insights on the equilibrium of the coupled transportation and power networks, and optimally allocating resource for public charging infrastructure.

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Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles.

TL;DR: In this paper, a mixed integer linear programming model for intercity scenarios is proposed for joint fleet sizing and charging system planning problem for a company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods transportation.
Journal ArticleDOI

A user equilibrium-based fast-charging location model considering heterogeneous vehicles in urban networks

TL;DR: A bi-level optimization framework is proposed in which the upper level aims to locate charging stations by minimizing the total travel time and the installation costs for charging infrastructures and the lower-level captures re-routing behaviours of travellers with their driving ranges.
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A Stochastic Multiagent Optimization Framework for Interdependent Transportation and Power System Analyses

TL;DR: It is shown that the multi-agent optimization problems can be reformulated as a single convex optimization problem and proved the existence and uniqueness of the equilibrium.
Journal ArticleDOI

A stochastic operational model for controlling electric vehicle charging to provide frequency regulation

TL;DR: The modeling methodology that is proposed here can further accelerate the adoption of BEVs because the value streams generated by the provision of frequency regulation can reduce the cost of BEV ownership and the net cost of owning and operating a public BEV-charging station.
Journal ArticleDOI

Optimal design of electric vehicle public charging system in an urban network for Greenhouse Gas Emission and cost minimization

TL;DR: The optimal solutions found from the bi-criteria problems are shown to be close to the solution minimizing GHG emissions only, meaning that the emission minimizing policy can also minimize user costs.
References
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Book

Nonlinear Programming

Book

Mathematical Programs with Equilibrium Constraints

TL;DR: Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
Journal ArticleDOI

Foundations of dynamic traffic assignment : the past, the present and the future

TL;DR: This opening paper will summarize the current understanding of DTA, review the existing literature, make the connection to the approaches presented in this special issue, and attempt to hypothesize about the future.
Journal ArticleDOI

CONOPT—A Large-Scale GRG Code

TL;DR: It is concluded that GRG codes can be very competitive with other codes for large-scale nonlinear programming from both an efficiency and a reliability point of view.
Journal ArticleDOI

Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity

TL;DR: Several stationarity concepts, based on a piecewise smooth formulation, are presented and compared and Fiacco-McCormick type second order optimality conditions and an extension of the stability results of Robinson and Kojima are presented.
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