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Journal ArticleDOI

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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Citations
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Journal ArticleDOI

Study on Influence Factors of Electric Vehicles Charging Station Location Based on ISM and FMICMAC

Han Wu, +1 more
- 24 Mar 2017 - 
TL;DR: In this paper, the authors proposed to use interpretive structural modeling (ISM) and Matriced'Impacts Croises Multiplication Appliquee a un Classement (fuzzy cross-impact matrix multiplication applied to classification) (FMICMAC) based approach which is a novel effort in this sector.
Journal ArticleDOI

Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach

TL;DR: In this article, the authors investigated the effect of the location of BEVs public charging facilities on a network with mixed conventional gasoline vehicles (GVs) and BEVs and developed a bilevel model to address this problem.
Journal ArticleDOI

Electric vehicle charging demand forecasting using deep learning model

TL;DR: In this article, the authors pointed out that CO2 emissions from transportation account for approximately one-quarter of global CO2 emission and excessive fuel consumption, which is a pressing issue nowadays.
Journal ArticleDOI

Bi-Objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity

TL;DR: In this article, a bi-objective optimization model for BEB deployment is presented to consider constraints unique to the BEB system and to address the trade-off between environmental equity for the disadvantaged population and capital investment.
Journal ArticleDOI

Scenario-based planning of fast charging stations considering network reconfiguration using cooperative coevolutionary approach

TL;DR: Use of the proposed scenario-based approach yields to a more accurate solution than deterministic method, and usage of network reconfiguration in FCSs planning both reduces the total costs and improves the voltage profile.
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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