Planning Minimum Interurban Fast Charging Infrastructure for Electric Vehicles: Methodology and Application to Spain

Colmenar‐Santos, Antonio; Palacio, Carlos De; Borge-Díez, David; Monzón-Alejandro, Oscar

doi:10.3390/en7031207

Cited by 24 publications

(18 citation statements)

References 19 publications

(27 reference statements)

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“…The final estimation then has a spatial resolution of administrative districts (NUTS-3-about 400 districts for Germany). Colmenar-Santos et al [11] perform a site identification for public CIS along highways in the whole of Spain.…”

Section: State Of the Art For Site Identification Of Public Charging mentioning

confidence: 99%

Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure

2018

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The spread of charging infrastructure (CIS) for battery electric vehicles is crucial for coping with the increasing number of electric vehicles. Therefore, the selection of ideal (fast-) charging locations determines acceptance, utilization and, thus, the economic viability of a single site or the whole charging network. The methodology of the Integrated Model Approach STELLA (STELLA is the acronym for the German term "STandortfindungsmodell für ELektrische LAdeinfrastruktur") for site identification of CIS uses reliable methods of traffic modeling such as the classic four-step traffic modeling in a new context to enable statements regarding the positioning of CIS. Because only (electric) motorized individual traffic is of importance for CIS, the share of trips is calculated by differentiating the modal split between various transport groups. To estimate the public transport share in the model approach STELLA there are several factors used. One aspect is the accessibility of stops, which can be determined with accessibility radii one the one hand, and with network analyses on the other hand. The methods have been evaluated for the region of Nuremberg. Depending on the spatial characteristics there is a difference of up to 60% between the two methods in the area covered by public transport. Therefore, the network analysis leads to a more accurate estimation of the public transport share. The modal split determination is then implemented in the model approach STELLA, which is currently developed for a planning area covering the entire territory of the Federal Republic of Germany.

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Section: State Of the Art For Site Identification Of Public Charging mentioning

confidence: 99%

Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure

2018

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“…In certain cases, there will be a need to reinforce a supply network and so the planning is crucial to minimize additional costs. The methodology for planning minimal fast charging infrastructure deployment is evaluated and depicted in [15].…”

Section: Introductionmentioning

confidence: 99%

Examination of EV Abilities to Provide Vehicle-to-Home Service in Low Voltage Installation

et al. 2020

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This paper deals with the application of an electric vehicle (EV) motor inverter and its batteries as an energy storage device supporting the operation of home electrical installation. This additional functionality of EV is called a Vehicle-to-Home (V2H) service. Two kind of services are considered: a peak shaving and an emergency power supply. The simulation model developed in the PSCAD program is presented. It allows for the examination of the EV battery control and operation during EV driving and parking. Additionally, it allows an evaluation of the availability of home installation for the V2H service. Control algorithms enabling the implementation of discussed work options are presented. Results of simulations are presented illustrating the EV control and operation in different operational modes.

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“…Application scenarios of charging infrastructures and long-term planning issues are discussed in some papers [17]. In Reference [18], two capacity planning frameworks are proposed, in which the total social welfare is maximized in large-scale networks and the best quality of service for each level of customers is ensured in small-scale networks.…”

Section: Introductionmentioning

confidence: 99%

Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply

Guo

Yang

2018

Energies

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Motivated by the development of electric vehicles (EVs), this paper addresses the planning of EV charging infrastructures (EVCIs). Considering that the optimal locations for EVCIs in most cities with a tight land supply are difficult to obtain, it is significant to study the planning of EVCIs in such cities. This paper proposes a planning method and model of EVCIs under the condition that alternative locations of centralized charging infrastructures (CCIs) are known. Firstly, based on the principle of energy equivalence, the sales volume of the fuel of gas stations in the planned area is converted into the equivalent electric quantity (EEQ) and the EEQ is divided according to the demands of different EVs for charging. Then, an equal product of the load and distance (EPLD) criterion is used to distribute the EEQ to CCIs and distributed charging infrastructures (DCIs) located in areas for load forecasting. The final plan is given out after checking the constraints and planning rationality. In addition, the net present value (NPV), the average charging distance, and the total harmonic distortion (THD) rate are used to evaluate the planning scheme. Finally, the feasibility and practicability of the proposed method are verified by a case study in Beijing.

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Planning Minimum Interurban Fast Charging Infrastructure for Electric Vehicles: Methodology and Application to Spain

Cited by 24 publications

References 19 publications

Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure

Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure

Examination of EV Abilities to Provide Vehicle-to-Home Service in Low Voltage Installation

Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply

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