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.read more
Citations
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Fast-Charging Station Location Problem: A Two-Phase Approach with Mathematical Program with Equilibrium Constraints Considering Charging Choice Behaviour
TL;DR: In this article , a two-phase approach consisting of data processing and model optimization is proposed to address the FCS location problem (FCSLP) for EVs in urban areas, where a spatiotemporal mathematical program with equilibrium constraints (MPEC) model is developed to minimize the total social cost (TSC).
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Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework
TL;DR: In this paper , the authors investigated optimal power scheduling for a powertransportation coupled network in the day-ahead energy market considering multiple uncertainties related to photovoltaic (PV) generation and the traffic demand of vehicles.
Journal ArticleDOI
Impact of customer portrait information superiority on competitive pricing of EV fast-charging stations
TL;DR: In this paper , a Nash-Stackelberg-Nash game framework is established to investigate the strategic pricing of CSOs under different information distribution scenarios, where the information about customer demands and heterogeneous preferences work as important decision criteria.
Journal ArticleDOI
Rechargeable Battery Cabinet Deployment for Public Bike System
TL;DR: Wang et al. as mentioned in this paper studied the Cabinet Deployment Problem (CDP) in PBS, based on the features extracted from the real dataset of PBS in Hangzhou China, and proposed strategies in the case of the Euclidean space and Manhattan model.
Developing Operational and Policy Insights into Next Generation Vehicle Needs Based on an Integrated Understanding of the Transportation and Energy System of Systems
Shubham Agrawal,Xiaohui Liu,Joseph F. Pekny,Srinivas Peeta,J. Eric Dietz,Mohammad Miralinaghi +5 more
TL;DR: This research presents a meta-modelling system that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of evaluating and selecting the best policy options and strategies for individuals and companies to take to maximize opportunities.
References
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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
Holger Scheel,Stefan Scholtes +1 more
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.