Abstract
This paper establishes the case for Electric Vehicle (EV) charging demand management through in-field demonstration, electricity network modelling and financial assessment. As part of the Victorian Government Electric Vehicle Trial, DiUS Computing demonstrated EV charging demand management using United Energy’s Smart Grid. Modelling of the United Energy network by the University of Melbourne found that uncontrolled charging would require network augmentation once EVs are adopted by 10% of households. In contrast, managed charging would allow the network to support in excess of 50% uptake using existing capacity and infrastructure. Furthermore, the end-to-end EV charging demand management solution demonstrated by DiUS could be implemented for one tenth the cost of the network augmentation. Although success factors were identified during the demonstration that may serve as an input for demand management program design, electricity market arrangements may be the strongest determinant of adoption generally.
Highlights
With the slow but steady rise in market share of electric vehicles (EVs), utilities are starting to take their impact on the electricity grid very seriously
Success factors were identified during the demonstration that may serve as an input for demand management program design, electricity market arrangements may be the strongest determinant of adoption generally
The case for management of EV charging demand has been established for the Australian state of Victoria
Summary
With the slow but steady rise in market share of electric vehicles (EVs), utilities are starting to take their impact on the electricity grid very seriously. Demand Management (DM) is of growing interest to governments, regulators, and network operators around the world This can take the form of either end-user demand response in reaction to incentives, or direct load control via central utility decisions. A recent important phase of the Victorian EV Trial brought these two trends – Smart Meters and electric vehicles – together as part of a single unified exercise This involved the installation and testing of AMI Demand Response / Load Control (DRLC) functionality. In this trial, the charging of electric vehicles was controlled by the electricity utility, who issued DRLC messages to a network of charging terminals via the household Smart Meter infrastructure. We examine the business case of implementing a DM solution versus other approaches, the contextual influence of electricity market arrangements, and insights pertinent to the design of a successful gridintegrated EV charging demand management program
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