Integrating smart meter and electric vehicle charging data to predict distribution network impacts

Neaimeh, Myriam; Hill, Graeme; Blythe, PT; Wardle, Robin; Yi, Junyan; Taylor, Phil

doi:10.1109/isgteurope.2013.6695238

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…The Output of ASIG is fed to a step-up transformer. Induction generator has advantages like lower cost, lower requirement of maintenance, variable speed, higher energy capture efficiency and better power quality [11].…”

Section: Matlab Simulink Diagram Of the Test Systemmentioning

confidence: 99%

Modelling of an Interconnected Power System using Solar-Wind Energy Integration

Kumar,

Agrawal,

Kumar

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This paper revolves around the modification and improvement required for increasing the efficiency of the power generation and distribution system. As the demand for electricity and power consumption is increasing day by day, more efficient and capable system is required to reduce the burden and complicatedness of the power grid. The transformation or conversion of conventional power grid to smart grid which contains number of actuators, sensors and transducers which provides ability to control, analyse and maintain the grid which provides support for various types of new loads that are introducing in current period. Along with that, the involvement and guidance of the human element is also increasing rapidly in the power generation and distribution station. This involvement allows the monitoring, analysing, and recording the information to be done more precisely with less factors of error. Based on this, the simulation and integration of renewable energy sources simulated through MATLAB/Simulink reduces the burden on non-renewable source of energies such as Coal, Fuel, etc. Although it will be impossible to replace these sources completely but integrating such sources along with smart grid will allow to monitor and share information regarding the grid and its performance much efficiently. The data shared from smart grid plays a valuable role in estimation energy consumption and what may the demand in the future.

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Section: Matlab Simulink Diagram Of the Test Systemmentioning

confidence: 99%

Modelling of an Interconnected Power System using Solar-Wind Energy Integration

Kumar,

Agrawal,

Kumar

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Concurrently, several studies have investigated the realworld usage patterns of EV drivers [13][14][15][16]. Such studies have aimed at uncovering both driving and plug-in patterns.…”

Section: Related Workmentioning

confidence: 99%

Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services

Andersen

Sousa

Thingvad

et al. 2018

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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Vehicle-Grid Integration (VGI) research may serve to limit the self-induced adverse effects of electric vehicles (EVs) in terms of additional grid loading, but also as to make the EV an active asset in supporting a stable, economic power system based on renewable energy. Any use of the vehicle for grid services requires an accurate understanding of the user's driving needs. This paper proposes the introduction of a user profile, describing the energy requirements for driving in terms of an energy deadline, target and minimum. To explore the use of such a profile, the paper analyses data from a Danish pilot project where the driving patterns of ten electric Nissan e-NV200 vans are investigated in terms of leave times and energy consumption. It is shown that the data can be fitted with a log-normal distribution that can be used to establish a per user profile which provides a certain statistical probability of fulfilling the driving needs while allowing an aggregator to optimize earnings. Initially, aggregators may apply similar driving assumptions across an entire fleet. Considering that the driving needs of individual EV owners are different, statistical representations of the individual behaviour may result in more flexibility, and thereby time, for providing grid services. The paper quantifies the value of such added flexibility based on the Danish market for frequency containment reserves.

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