School of
Information Technology and Electrical Engineering

Speaker: Md Shariful Islam
Seminar Date: Fri, 17/11/2017 - 10:30
Venue: 78-622
Host: Assoc Prof Mithulan Nadarajah

Seminar Type:  PhD Thesis Review

Abstract: 

Although transportation sector is one of the major contributors to global greenhouse gas (GHG) emissions and expected to grow steadily in the future, gradual introduction of electric vehicles (EVs) can stall such growth. Despite undergoing anonymous opposition on different grounds, EVs are deemed to have clear advantage over their conventional counterparts in terms of reduction of GHG emissions. Yet, the proliferation of EVs has not met the expectation owing to various economic and technical shortcomings including high price and low driving ranges of EVs, scarcity of electric vehicle charging stations (EVCS), long charging times, and inability to provide charging service readily.  However, widespread rollout of EVCS equipped with PV and battery energy storage (BES) can address those shortcomings and provide the required impetus to the proliferation. Besides, the aggregated batteries of the EV population can provide vehicle-to-grid (V2G) services such as voltage support, frequency regulation, integration of more intermittent sources, voltage-ride-through etc. under a myriad of contingencies. On that note, planning and operational planning of such PV and BES-based charging station considering V2G services is the major focus of this research.

As well as developing methods for calculating the optimal sizes of PV and BES to ensure the minimum quality of service (QoS) of charging, the planning exercise consists of investigating whether such charging station is more suitable at home, or at office, or at commercial fast charging stations. The realm of operational planning comprises of formulating computationally cheap algorithms for scheduling the EV charging in day-ahead manner and real-time controlling of EV charging for simultaneously maximizing QoS and addressing the impact of the uncertainties involved in the PV output, and EV and grid loads. The operational planning also includes devising a set of efficient procedures for forecasting V2G service capability in day-ahead manner and dispatching it in real-time with the aim to maximize revenue and QoS. Moreover, an accurate EV load model (the modelling process is known as characterization) is one of the cornerstones of the planning and operational planning activities. These exercises are particularly important for the EV charging at business premises, comprises of charging EVs at offices, universities, etc., where a large EV population is expected to be charged in tandem and where the EV load coincides with the PV output. Therefore, these research develops, tests, and validates various algorithms in relation to the mentioned planning and operational planning undertakings along with the more accurate EV load model.

Biography: 

Md Shariful Islam received his B.Sc. and M.Sc. in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh in 2009 and 2013, respectively. He has more than five years of industrial experience in telecommunication, power generation and distribution, and industrial inspection/audits sectors. Currently he is a final-year PhD Student in the School of Information Technology and Electrical Engineering at The University of Queensland, Brisbane, Australia. His research interests include electric vehicle (EV), renewable energy, and stochastic modeling of power systems along with planning, operation and control.