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Title: Smart control of power electronic chargers for integrating electric vehicles into the power grid
Author: Al-Karakchi, Ahmed A. Abdullah
ISNI:       0000 0004 7965 5420
Awarding Body: Northumbria University
Current Institution: Northumbria University
Date of Award: 2018
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Large deployment of distributed generation and electrical vehicles into the grid will have significant impact on the stability and quality of power supply. Distributed generation may lead to over voltages at the distribution network and may cause protection problems due to reverse power flow. The move to replace conventional vehicles with electric vehicles will increase demand on the power grid due to the need to charge large number of EVs and high battery capacity. However, electric vehicles may be used as storage to support the grid, if properly controlled and managed. These two issues will have large effects on the future development for the grid and EV industry. Therefore, there is a need fully evaluate their impacts and provide solutions to any potential problems. Previous work has addressed the impact of distributed generation and EV charging profiles on the performance of distribution networks. The research presented in this thesis investigates the combined impacts of distributed PV generation and EV charging on the grid, identifying synergies and potential optimal control strategies. The effects of PV generation and the possibility of managing EV charging to deal with these effects are addressed. Evaluation of the effects of different charging profiles on battery degradation has been conducted and Lithium-ion battery characteristics are analysed in order to define best charging profiles. The results reveal that controlled charging is essential to reduce the impact of EV charging on the grid and even to use the EV to support the grid. Further, pulse charging profiles are proposed and described in this thesis, which have the advantages (over standard charging) of extending battery life and improve battery performance. The results presented also show that with the proposed charging profiles, the ability to use EVs to support the grid in V2G mode becomes more realistic. Based on the analysis conducted, a smart EV charge controller has been developed in a laboratory environment. Simulation and experimental tests were conducted and results obtained demonstrate the ability of the controller to meet the EV requirements whilst charging from PV generation and supporting the grid (prevent peak demand).
Supervisor: Putrus, Ghanim ; Binns, Richard ; Gao, Zhiwei Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: H600 Electronic and Electrical Engineering