Analysis of power network loading due to fast charging of Electric Vehicles on highways

Malik, Farhan H.; Lehtonen, Matti

doi:10.1109/pq.2016.7724097

Cited by 23 publications

(14 citation statements)

References 8 publications

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“…This service rate is equivalent to existing gasoline service stations and therefore the utilization and arrival models for existing fueling stations would be appropriate data to use in this scenario. However, in the absence of operational data, it is assumed that an urban located HPC station experiences peak usage between the hours of 6am-9am and 3pm-6pm, which is in line with the driver commuting statistics reported in [12] and modeled in [13].…”

Section: Utilisation Rates and Arrival Modelsmentioning

confidence: 96%

Co-location of CHP units for High Power Charging of Battery Electric Vehicles: A comparison of the fuel efficiency for AC and DC coupled systems

Smith

Galloway

Burt

2017

2017 IEEE Second International Conference on DC Microgrids (ICDCM)

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This paper proposes the co-location of gas reciprocating generator sets with High Power Charging (HPC) stations for Battery Electric Vehicles (BEVs), to offer a low carbon source of heat and power which could help to meet national government transportation and heating strategies while minimizing the impact that HPC systems will have on the power network. Three different Combined Heat and Power (CHP) connection configurations are considered to determine the most fuel-efficient per forecasted utilization rates of the HPC station. The use of variable speed generators connected directly to the dc bus of the HPC station can offer improved fuel-efficiency performance compared to fixed speed, especially under partloading conditions, however, the sizing of engine-generator sets based on expected utilization rates of the HPC station has the most influence on fuel efficiency. Keywords-battery electric vehicles, charging systems, combined heat and power, variable speed engines, fixed speed engines. I.

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Section: Utilisation Rates and Arrival Modelsmentioning

confidence: 96%

Co-location of CHP units for High Power Charging of Battery Electric Vehicles: A comparison of the fuel efficiency for AC and DC coupled systems

Smith

Galloway

Burt

2017

2017 IEEE Second International Conference on DC Microgrids (ICDCM)

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“…The percentage of vehicles on the road was divided into intervals, and each interval corresponded to an arrival rate of EVs at the FCS. In [13], the traffic flow from the highway where the FCSs were placed was used to determine the arrival of the EVs. SOC, driving efficiency and battery size were varied.…”

Section: B Relevant Literaturementioning

confidence: 99%

“…From the literature review, only [13] use local traffic flow to create a mobility model. However, the study lacks data from actual EVs, and therefore has employed MCS to model the different parameters of EVs.…”

Section: Contributions and Organizationmentioning

confidence: 99%

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Stochastic Load Modeling of High-Power Electric Vehicle Charging - A Norwegian Case Study

Ivarsoy

Torsater

Korpås

2020

2020 International Conference on Smart Energy Systems and Technologies (SEST)

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In recent years, the number of electric vehicles (EVs) has increased rapidly. Due to technological advancement, government policies and the focus on reducing greenhouse gas emission, the growth can be expected to continue. Home charging of EVs will often be sufficient for short-distance travel and daily routines. However, EVs still have a limited range. Thus, for longdistance travel, a network of fast charging stations (FCS) is needed. The stochastic nature, high power demand and short duration of EV fast charging, make it in many cases a grid capacity issue rather than an energy issue. Therefore, knowledge about the load profile of FCSs is important. In this paper, a model is developed for the simulation of the aggregated load profile of an FCS. The FCS load model includes a mobility model based on actual traffic flow, EV charging curves and temperaturedependent EV efficiency. Simulations are performed using the Monte Carlo simulation technique, to get a daily load profile for the FCS. Real-world data for the studied FCS in Norway is compared with the results from the simulation to analyze the performance of the FCS load model. The developed load profile for the FCS has a high peak-to-average power ratio, which indicates that the socioeconomic profitability of fast charging stations still is low.

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“…Masuknya kendaraan listrik sebagai beban dalam sistem kelistrikan dapat memberikan dampak positif dan negatif terhadap sistem. Dampak negatif masuknya kendaraan listrik adalah naiknya beban puncak [2]- [4] dan memburuknya kualitas daya [5]- [7]. Namun, kendaraan listrik juga dapat memberikan dampak positif jika dikelola dengan baik, terutama jika kendaraan listrik beroperasi dalam mode V2G.…”

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Pengaruh Strategi Pengisian Daya Terhadap Kenaikan Beban Puncak Akibat Penetrasi Kendaraan Listrik

Ihsan¹,

Hamdani

Hariyanto

2020

JNTETI

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Untuk mengatasi masalah krisis energi dan pemanasan global, banyak negara di dunia menggalakkan pertumbuhan penggunaan kendaraan listrik. Di masa yang akan datang, penggunaan kendaraan listrik dalam jumlah besar juga akan terjadi di Indonesia dan pengisian daya kendaraan listrik akan menjadi beban baru pada sistem kelistrikan. Salah satu dampak dari penetrasi kendaraan listrik adalah naiknya beban puncak. Oleh karena itu, makalah ini mengkaji kenaikan beban harian akibat penetrasi kendaraan listrik dan strategi pengisian daya kendaraan listrik untuk mengurangi kenaikan beban tersebut pada salah satu sistem kelistrikan di Indonesia, yaitu sistem Jawa-Bali. Hasil perhitungan kenaikan beban menunjukkan bahwa kondisi sistem kelistrikan Jawa-Bali saat ini hanya sanggup melayani penetrasi kendaraan listrik sebesar 20% jika masalah losses, ketidakstabilan, dan pembebanan saluran diabaikan. Pada kasus 10% penetrasi kendaraan listrik, beban puncak sistem Jawa-Bali naik sebesar 5.857 MW. Namun, dengan menjadwalkan pengisian daya kendaraan listrik pada saat beban rendah, kenaikan beban puncak dapat dikurangi sebesar 3.232 MW dan dengan menggunakan skema V2G, energi yang disuplai oleh pembangkit sistem dapat dikurangi sebesar 20.003 MWh.

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Analysis of power network loading due to fast charging of Electric Vehicles on highways

Cited by 23 publications

References 8 publications

Co-location of CHP units for High Power Charging of Battery Electric Vehicles: A comparison of the fuel efficiency for AC and DC coupled systems

Co-location of CHP units for High Power Charging of Battery Electric Vehicles: A comparison of the fuel efficiency for AC and DC coupled systems

Stochastic Load Modeling of High-Power Electric Vehicle Charging - A Norwegian Case Study

Pengaruh Strategi Pengisian Daya Terhadap Kenaikan Beban Puncak Akibat Penetrasi Kendaraan Listrik

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