Paper Info
Title
Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism
Abstract
Due to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Frequency regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide frequency regulation services. However, V2G is a dynamic system where the participating EVs come and go independently. Thus, it is not easy to estimate the regulation capacities for V2G. In a preliminary study, we modeled an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation-up and regulation-down separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitating a new business model for V2G. In this paper, we extend our previous development by designing a smart charging mechanism that can adapt to given characteristics of the EVs and make the performance of the actual system follow the analytical model.
Year
DOI
Venue
2016
10.1109/TSG.2015.2436901
Smart Grid, IEEE Transactions
Keywords
Field
DocType
System-on-chip,Batteries,Frequency control,Contracts,Analytical models,Estimation,Power system dynamics
System on a chip,News aggregator,Smart grid,Electric power system,Control engineering,Automatic frequency control,Queueing theory,Engineering,Grid,Vehicle-to-grid
Journal
Volume
Issue
ISSN
PP
99
1949-3053
Citations 
PageRank 
References 
11
0.64
12
Authors
3
Name
Order
Citations
PageRank
Albert Y. S. Lam163443.65
Ka-Cheong Leung231835.54
Li, V.O.K.34160695.00