Plug in electric vehicle charger controller utilising internet of things to improve network efficiencies

Perez, David Anthony (2020) Plug in electric vehicle charger controller utilising internet of things to improve network efficiencies. [USQ Project]

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Abstract

Plug in electric vehicles (PEV) is the forthcoming transportation technology worldwide although uptake in Australia is extremely slow. As uptake increases for PEVs traditional refuelling utilising liquid fossil fuels will shift the energy requirements over to electrical supply networks. PEV chargers have energy requirements that range from 2kW to 350 kW for fast charging, compounding these energy requirements with large fleets of PEVs has the potential to cripple electrical networks from overloading.

Currently the electrical network within Australia is evolving from linear power flow, i.e large generators to consumer model, to dynamic networks where typical energy users are producing energy via solar installations and power flow is multi-directional. Although renewable injection is beneficial in reducing carbon emission, they are producing issues to network operators by generating energy fluctuations within electrical networks. One issue is the reduction in daytime loads, where generation outweighs demand, which in turn causes large ramping rates during peak times.

This dissertation explores PEV charger technology, internet of things (IoT) connectivity and available network data to produce a controller to regulate PEV charging locally at the charger. Residential energy usage models were created to compare regulated verses unregulated charging scenarios as premade models could not be found.

Results from testing the Controller against the residential models and real-world data showed promising results, with peak load shedding of up to 470% when compared to unregulated charging observed. Additional PEV loads were still present during peak times, further development and optimisation of the control is required to shift the PEV electrical loads to when it is required by the connected electrical network. This paper provides proof that an IoT solution to regulating PEV charging locally is possible and has the potential to increase efficiencies within electrical networks.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Engineering (Honours)(Electrical and Electronic Engineering)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -)
Supervisors: Hills, Catherine
Date Deposited: 16 Aug 2021 23:39
Last Modified: 16 Aug 2021 23:39
URI: http://eprints.usq.edu.au/id/eprint/43039

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