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Research outputs 2014 to 2021

2020

Electric vehicle

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Full-Text Articles in Engineering

Robust Placement And Sizing Of Charging Stations From A Novel Graph Theoretic Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz Jan 2020

Robust Placement And Sizing Of Charging Stations From A Novel Graph Theoretic Perspective, Hossein Parastvand, Octavian Bass, Mohammad A. S. Masoum, Airlie Chapman, Stefan Lachowicz

Research outputs 2014 to 2021

This paper proposes analytical approaches to extend the capacity of existing networks of electric vehicles (EVs) by placement of additional charging stations (CSs) as well as determining the sizes of existing and new CSs in order to handle future expansions of EVs. The EV flow at CSs is modeled by a graph where nodes are potential locations for CSs and edges are uncertain parameters representing the variable EV flow at CSs. The required extra CS locations are explored by transforming the CS placement problem into a controllability framework addressed by maximum matching principle (MMP). To find the sizes of each …


A Graph Automorphic Approach For Placement And Sizing Of Charging Stations In Ev Network Considering Traffic, Hossein Parastvand, Valeh Moghaddam, Octavian Bass, Mohammad A.S. Masoum, Airlie Chapman, Stefan Lachowicz Jan 2020

A Graph Automorphic Approach For Placement And Sizing Of Charging Stations In Ev Network Considering Traffic, Hossein Parastvand, Valeh Moghaddam, Octavian Bass, Mohammad A.S. Masoum, Airlie Chapman, Stefan Lachowicz

Research outputs 2014 to 2021

This paper proposes a novel graph-based approach with automorphic grouping for the modelling, synthesis, and analysis of electric vehicle (EV) networks with charging stations (CSs) that considers the impacts of traffic. The EV charge demands are modeled by a graph where nodes are positioned at potential locations for CSs, and edges represent traffic flow between the nodes. A synchronization protocol is assumed for the network where the system states correspond to the waiting time at each node. These models are then utilized for the placement and sizing of CSs in order to limit vehicle waiting times at all stations below …