Charge Management Optimization for Future TOU Rates: Preprint

Jiucai Zhang; Anthony Markel

Charge Management Optimization for Future TOU Rates: Preprint

Research output: Contribution to conference › Paper

3 Scopus Citations

Abstract

The effectiveness of future time of use (TOU) rates to enable managed charging for providing demand response depends on the vehicle's flexibility and the benefits to owners. This paper adopts opportunity, delayed, and smart charging methods to quantify these impacts, flexibilities, and benefits. Simulation results show that delayed and smart charging methods can shift most charging events to lower TOU rate periods without compromising the charged energy and individual driver mobility needs.

Original language	American English
Number of pages	12
State	Published - 2016
Event	EVS29: Electric Vehicle Symposium and Exhibition - Montreal, Quebec Duration: 19 Jun 2016 → 22 Jun 2016

Conference

Conference	EVS29: Electric Vehicle Symposium and Exhibition
City	Montreal, Quebec
Period	19/06/16 → 22/06/16

NREL Publication Number

NREL/CP-5400-66121

Keywords

charging
electric vehicle
EV
off-peak
renewable
smart grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://www.nrel.gov/docs/fy16osti/66121.pdf

Cite this

@conference{95e28ce003474ae39d1d42aa97a00ca7,

title = "Charge Management Optimization for Future TOU Rates: Preprint",

abstract = "The effectiveness of future time of use (TOU) rates to enable managed charging for providing demand response depends on the vehicle's flexibility and the benefits to owners. This paper adopts opportunity, delayed, and smart charging methods to quantify these impacts, flexibilities, and benefits. Simulation results show that delayed and smart charging methods can shift most charging events to lower TOU rate periods without compromising the charged energy and individual driver mobility needs.",

keywords = "charging, electric vehicle, EV, off-peak, renewable, smart grid",

author = "Jiucai Zhang and Anthony Markel",

year = "2016",

language = "American English",

note = "EVS29: Electric Vehicle Symposium and Exhibition ; Conference date: 19-06-2016 Through 22-06-2016",

}

TY - CONF

T1 - Charge Management Optimization for Future TOU Rates: Preprint

AU - Zhang, Jiucai

AU - Markel, Anthony

PY - 2016

Y1 - 2016

N2 - The effectiveness of future time of use (TOU) rates to enable managed charging for providing demand response depends on the vehicle's flexibility and the benefits to owners. This paper adopts opportunity, delayed, and smart charging methods to quantify these impacts, flexibilities, and benefits. Simulation results show that delayed and smart charging methods can shift most charging events to lower TOU rate periods without compromising the charged energy and individual driver mobility needs.

AB - The effectiveness of future time of use (TOU) rates to enable managed charging for providing demand response depends on the vehicle's flexibility and the benefits to owners. This paper adopts opportunity, delayed, and smart charging methods to quantify these impacts, flexibilities, and benefits. Simulation results show that delayed and smart charging methods can shift most charging events to lower TOU rate periods without compromising the charged energy and individual driver mobility needs.

KW - charging

KW - electric vehicle

KW - EV

KW - off-peak

KW - renewable

KW - smart grid

M3 - Paper

T2 - EVS29: Electric Vehicle Symposium and Exhibition

Y2 - 19 June 2016 through 22 June 2016

ER -

Charge Management Optimization for Future TOU Rates: Preprint

Abstract

Conference

NREL Publication Number

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this