The Application of Smart Meter in the Management of Electric Vehicle Charging Facilities

Liu, Haotian; Zhu, Xi; Xiao, Zhifeng; Wu, Yuhou; Li, Peizhe; Li, Dawei; Deng, Kai; Shuncheng, Liu

doi:10.1016/j.procs.2020.07.115

Cited by 4 publications

(2 citation statements)

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“…In more recent years, smart building development and spread raised the need to model efficient energy management tools, as addressed by Dadashi-Rad et al [42], to optimize responsive/nonresponsive devices and distributed RES exploitation. Moreover, the smart meter as a monitoring system allows for the integration with the transport sector, representing an additional challenge for electrification at the household level, as discussed by Liu et al [43]. However, energy system models often assume a standard load profile of the households, as in Foteinaki et al [14], not entirely reflecting ongoing changes.…”

Section: Literature Reviewmentioning

confidence: 99%

Italian Household Load Profiles: A Monitoring Campaign

2020

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The increasing share of renewable energy sources on the supply side, as well as the so-called electrification pathways on the demand side, has led to peculiar challenges for electrical systems: Indeed, the increasing load demand has to be balanced from the supply-side viewpoint. In particular, the residential sector contributes to nearly 26% of the final energy consumption in Europe, suggesting that a further understanding of households’ consumptions and load profiles is needed to support an energy transition. In this context, this paper contributes to the existing discussion by proposing a sociodemographic analysis of Italian households’ load profiles using a smart metering experimental study, while also considering the households in energy poverty conditions. For the sake of generality, results are presented based on a previously proposed household segmentation of the Italian residential sector. The outcomes point out three prominent peaks on load profiles for all the identified clusters, with a notable distinction in intensity. Where children are present, a higher load profile is noted, reaching a maximum value of 600 W of absorbed power between 19:30 and 22:30. Conversely, households in an energy poverty condition show a relatively regular load profile, ranging from a minimum of 110 W of absorbed power in baseload conditions at night time to a maximum of 280 W in the evening hours. The findings in this paper are in agreement with existing research in the field, and accordingly the study proposes a better focus on domestic appliances and sociodemographic parameters.

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Section: Literature Reviewmentioning

confidence: 99%

Italian Household Load Profiles: A Monitoring Campaign

2020

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“…On-site verification of chargers is one of the critical tasks to ensure fair trade. On-site verification of DC chargers needs to solve the problem of DC high current measurement [14][15][16][17]. At present, the resistance method, Hall method, and DC comparator are mainly utilized, and their accuracy can reach: 0.2%/year, 0.5%/year, and 5 ppm/year, respectively.…”

Section: Introductionmentioning

confidence: 99%

Traceability Technology of DC Electric Energy Metering for On-Site Inspection of Chargers

Li¹,

Xiong²,

Wang³

2023

Energy Engineering

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The on-site inspection of high-power DC chargers results in new DC high-current measurement and DC energy traceability system requirements. This paper studies the traceability technology of electric energy value for automotive high-power DC chargers, including: (1) the traceability method of the built-in DC energy meter and shunt of the charger; (2) precision DC high current and small precision DC voltage output and measurement technology. This paper designs a 0.1 mA∼600 A DC high current measurement system and proposes a 0.005 level DC power measurement traceability system. The uncertainty evaluation experiment of the DC power measurement calibration system and the high-power DC charger's on-site calibration experiment results verify the method's effectiveness and feasibility in this paper. The experimental results show that the combined standard uncertainty of the DC power metering verification system can be 0.0451%.

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