Methodology to Evaluate the Impact of Electric Vehicles on Electrical Networks Using Monte Carlo

Betancur, Daniel; Duarte, Luís F.; Revollo, Jesus; Restrepo, Carlos; Díez, Andrés E.; Isaac, Idi A.; López, Gabriel; González, Jorge W.

doi:10.3390/en14051300

Cited by 24 publications

(18 citation statements)

References 27 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, by reducing dead times caused by charging stops, the amount of buses available to operate would be greater, which is critical for heavy duty lines, and the depot charging during night will employ less hours and power for charging the entire fleet with the required energy for operating the next day. The latter represents another advantage since distribution lines will be less stressed during the night (18-24 h), contributing to avoid some bottlenecks in the MV system of Medellin that are now foreseen in high EV penetration scenarios [37].…”

Section: Imc Planning Modelmentioning

confidence: 99%

A Planning Method for Partially Grid-Connected Bus Rapid Transit Systems Operating with In-Motion Charging Batteries

Díez

Restrepo

2021

Energies

Self Cite

View full text Add to dashboard Cite

This paper presents an electrical infrastructure planning method for transit systems that operate with partially grid-connected vehicles incorporating on-board batteries. First, the state-of-the-art of electric transit systems that combine grid-connected and battery-based operation is briefly described. Second, the benefits of combining a grid connection and battery supply in Bus Rapid Transit (BRT) systems are introduced. Finally, the planning method is explained and tested in a BRT route in Medellin, Colombia, using computational simulations in combination with real operational data from electric buses that are currently operating in this transit line. Unlike other methods and approaches for Battery Electric Bus (BEB) infrastructure planning, the proposed technique is system-focused, rather than solely limited to the vehicles. The objective of the technique, from the vehicle’s side, is to assist the planner in the correct sizing of batteries and power train capacity, whereas from the system side the goal is to locate and size the route sections to be electrified. These decision variables are calculated with the objective of minimizing the installed battery and achieve minimum Medium Voltage (MV) network requirements, while meeting all technical and reliability conditions. The method proved to be useful to find a minimum feasible cost solution for partially electrifying a BRT line with In-motion Charging (IMC) technology.

show abstract

Section: Imc Planning Modelmentioning

confidence: 99%

A Planning Method for Partially Grid-Connected Bus Rapid Transit Systems Operating with In-Motion Charging Batteries

Díez

Restrepo

2021

Energies

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several EV charge hosting capacity methods using stochastic methods have been proposed, including some of the uncertainties [3,7,10,12,16,17,[19][20][21][22]. There are two types of uncertainties, aleatory, and epistemic uncertainties [22].…”

Section: Review On Ev Stochastic Hosting Capacitymentioning

confidence: 99%

“…Both methods, the one in this paper and [20], include uncertainties in estimating the hosting capacity. Both epistemic and aleatory uncertainties associated with EV charging are considered.…”

Section: Stochastic Ev Charge Hosting Capacity Approachmentioning

confidence: 99%

“…The uncertainties in EV charging have been addressed in hosting capacity studies by using a stochastic or time-series method. A Monte Carlo based simulation for EV charging assessment is proposed because of the stochastic elements it contains [20]. A Monte Carlo based stochastic approach was used for solar PV hosting capacity estimation in [21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage

2021

View full text Add to dashboard Cite

This paper presents a stochastic approach to single-phase and three-phase EV charge hosting capacity for distribution networks. The method includes the two types of uncertainties, aleatory and epistemic, and is developed from an equivalent method that was applied to solar PV hosting capacity estimation. The method is applied to two existing low-voltage networks in Northern Sweden, with six and 83 customers. The lowest background voltage and highest consumption per customer are obtained from measurements. It is shown that both have a big impact on the hosting capacity. The hosting capacity also depends strongly on the charging size, within the range of charging size expected in the near future. The large range in hosting capacity found from this study—between 0% and 100% of customers can simultaneously charge their EV car—means that such hosting capacity studies are needed for each individual distribution network. The highest hosting capacity for the illustrative distribution networks was obtained for the 3.7 kW single-phase and 11 kW three-phase EV charging power.

show abstract

“…In order to evaluate the future uncertainties that are likely to affect the energy system in Colombia from large-scale grid integration of EV by 2030, Betancur et al [24] developed a method to simulate the large-scale charging scenario of PEV using the Monte Carlo method. The model included parameters relating to the PEV daily mileage, charging behaviour that includes the battery SoC, and PEV energy consumption, amongst other parameters.…”

Section: Energy Management Of Pev Load Demand On the Distribution Networkmentioning

confidence: 99%

Sustainable Electric Vehicle Transportation

2021

View full text Add to dashboard Cite

The future direction of electric vehicle (EV) transportation in relation to the energy demand for charging EVs needs a more sustainable roadmap, compared to the current reliance on the centralised electricity grid system. It is common knowledge that the current state of electricity grids in the biggest economies of the world today suffer a perennial problem of power losses; and were not designed for the uptake and integration of the growing number of large-scale EV charging power demands from the grids. To promote sustainable EV transportation, this study aims to review the current state of research and development around this field. This study is significant to the effect that it accomplishes four major objectives. (1) First, the implication of large-scale EV integration to the electricity grid is assessed by looking at the impact on the distribution network. (2) Secondly, it provides energy management strategies for optimizing plug-in EVs load demand on the electricity distribution network. (3) It provides a clear direction and an overview on sustainable EV charging infrastructure, which is highlighted as one of the key factors that enables the promotion and sustainability of the EV market and transportation sector, re-engineered to support the United Nations Climate Change Agenda. Finally, a conclusion is made with some policy recommendations provided for the promotion of the electric vehicle market and widespread adoption in any economy of the world.

show abstract

Methodology to Evaluate the Impact of Electric Vehicles on Electrical Networks Using Monte Carlo

Cited by 24 publications

References 27 publications

A Planning Method for Partially Grid-Connected Bus Rapid Transit Systems Operating with In-Motion Charging Batteries

A Planning Method for Partially Grid-Connected Bus Rapid Transit Systems Operating with In-Motion Charging Batteries

Adapted Stochastic PV Hosting Capacity Approach for Electric Vehicle Charging Considering Undervoltage

Sustainable Electric Vehicle Transportation

Contact Info

Product

Resources

About