Cited by 789Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric Power System Optimization

The DOI matches its Crossref record; 17 of the 18 references it cites were found in a registry or an index.

Optimal Charging Strategies for Unidirectional Vehicle-to-Grid

Sortomme, Eric, El-Sharkawi, Mohamed A.·2011·IEEE Transactions on Smart Grid

Abstract

Vehicle-to-grid (V2G) has been proposed as a way to increase the adoption rate of electric vehicles (EVs). Unidirectional V2G is especially attractive because it requires little if any additional infrastructure other than communication between the EV and an aggregator. The aggregator in turn combines the capacity of many EVs to bid into energy markets. In this work an algorithm for unidirectional regulation is developed for use by an aggregator. Several smart charging algorithms are used to set the point about which the rate of charge varies while performing regulation. An aggregator profit maximization algorithm is formulated with optional system load and price constraints analogous to the smart charging algorithms. Simulations on a hypothetical group of 10 000 commuter EVs in the Pacific Northwest verify that the optimal algorithms increase aggregator profits while reducing system load impacts and customer costs.

Overview

Integrity signals

Registry

Crossref · 10.1109/tsg.2010.2090910

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 18 references

1 of the 18 references couldn’t be matched to a known paper.

Research works printed but not linked: 16

  1. 2010, Scheduling operations, PJM
  2. 2010, Operating agreement accounting, PJM
  3. 2007, Mobile Connector 240
  4. harris, 2007, Puget Sound trends Average distance to work
  5. brooks, 2007, PG&E and tesla motors: Vehicle to grid demonstration and evaluation program, Proc 23rd Elect Veh Symp, 1
  6. 2010, Nissan LEAF electric car FAQ Features
  7. 2009, Data for BPA balancing authority total load & total wind generation 2007
  8. 2009, Mitsubishi motors to bring new-generation EV i-MiEV to market
  9. 2009, MINI-E Specifications
  10. kempton, 2008, A Test of Vehicle-to-Grid (V2G) for Energy Storage and Frequency Regulation in the PJM System
  11. 2010, Leaf specs
  12. kelly, 2008, New modeling techniques: From wind assessment and forecasting to wind resource management, Bonneville Power Administration & California ISO's Int Wind Forecast Techniques Methodologies Workshop
  13. berdichevsky, 2006, Tesla roadster battery system
  14. 2008, Open Access Transmission Tariff
  15. 2009, Technical data
  16. 2009, Tesla roadster spec sheet

Cited by

Sorted by citations

Items 101–200 of 789

Metadata

Authors
Sortomme, E., & El-Sharkawi, M. A.
Affiliations
University of Washington (US)
Venue
IEEE Transactions on Smart Grid
Published
2011-03
Volume
2
Issue
1
Pages
131-138
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W2161666560
Cited by
782
References
18
Citations by year
2026: 61 · 2025: 23 · 2024: 28 · 2023: 32 · 2022: 38 · 2021: 44 · 2020: 47 · 2019: 49 · 2018: 69 · 2017: 51 · 2016: 62 · 2015: 73 · 2014: 81 · 2013: 55 · 2012: 48
FWCI
31.19
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Smart Grid (publishedVersion)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords
vehicle-to-grid, electric vehicles, smart charging, energy regulation, load shaping, price constraints, customer cost

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review