V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost

Rosemary E. Alden; Ashutosh Timilsina; Simone Silvestri; Dan M. Ionel

doi:10.1109/ITEC55900.2023.10186955

V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost

Rosemary E. Alden, Ashutosh Timilsina, Simone Silvestri, Dan M. Ionel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Electric Vehicles (EVs) are gaining popularity among consumers and are expected to play a significant role in the future of transportation. Within this paper, a reverse auction is formulated through an optimization problem to minimize the utility energy cost using Vehicle-to-Grid (V2G) operation, as well as transition residential communities to dispatchable aggregate constant load profiles for demand response (DR). The evolution-ary V2G Auction (eV2GA), including the non-dominated sorting genetic algorithm (NSGA-II), is proposed for the formulated problem. It uses co-simulation with OpenDSS for power flow analysis as part of the objective function to account for physical constraints of infrastructure on the cost analysis. The results are verified against a greedy method in two case studies on the IEEE 123 test feeder with modified residential load showing over 20 % reduction in cost from no v2G. It is demonstrated that physical power system constraints, such as line active power flow limits, may be implemented into the optimization through the proposed approach and do affect the V2G design solution by placing influence on location of the selected EV s in the distribution system.

Original language	English
Title of host publication	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
ISBN (Electronic)	9798350397420
DOIs	https://doi.org/10.1109/ITEC55900.2023.10186955
State	Published - 2023
Event	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 - Detroit, United States Duration: Jun 21 2023 → Jun 23 2023

Publication series

Name	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023

Conference

Conference	2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Country/Territory	United States
City	Detroit
Period	6/21/23 → 6/23/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work was supported by the National Science Foundation (NSF) under Award No. #1943035 and the NSF Graduate Research Fellowship under Award No. #1839289. Any findings and conclusions expressed herein are those of the authors and do not necessarily reflect the views of the NSF. The support of the University of Kentucky, and the L. Stanley Pigman endowment is also gratefully acknowledged.

Funders	Funder number
National Science Foundation (NSF)	1943035, 1839289
University of Kentucky

Keywords

Distribution
Electrical Infrastructure
Electrical vehicle (EV)
OpenDSS
Optimization
Reverse Auction
Smart and Micro Grid
Vehicle-to-Grid (V2G)

ASJC Scopus subject areas

Energy Engineering and Power Technology
Automotive Engineering
Transportation
Control and Optimization

Access to Document

10.1109/ITEC55900.2023.10186955

Cite this

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title = "V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost",

abstract = "Electric Vehicles (EVs) are gaining popularity among consumers and are expected to play a significant role in the future of transportation. Within this paper, a reverse auction is formulated through an optimization problem to minimize the utility energy cost using Vehicle-to-Grid (V2G) operation, as well as transition residential communities to dispatchable aggregate constant load profiles for demand response (DR). The evolution-ary V2G Auction (eV2GA), including the non-dominated sorting genetic algorithm (NSGA-II), is proposed for the formulated problem. It uses co-simulation with OpenDSS for power flow analysis as part of the objective function to account for physical constraints of infrastructure on the cost analysis. The results are verified against a greedy method in two case studies on the IEEE 123 test feeder with modified residential load showing over 20 % reduction in cost from no v2G. It is demonstrated that physical power system constraints, such as line active power flow limits, may be implemented into the optimization through the proposed approach and do affect the V2G design solution by placing influence on location of the selected EV s in the distribution system.",

keywords = "Distribution, Electrical Infrastructure, Electrical vehicle (EV), OpenDSS, Optimization, Reverse Auction, Smart and Micro Grid, Vehicle-to-Grid (V2G)",

author = "Alden, {Rosemary E.} and Ashutosh Timilsina and Simone Silvestri and Ionel, {Dan M.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 ; Conference date: 21-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/ITEC55900.2023.10186955",

language = "English",

series = "2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023",

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Alden, RE, Timilsina, A, Silvestri, S & Ionel, DM 2023, V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost. in 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023. 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023, 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023, Detroit, United States, 6/21/23. https://doi.org/10.1109/ITEC55900.2023.10186955

V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost. / Alden, Rosemary E.; Timilsina, Ashutosh; Silvestri, Simone et al.
2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023. 2023. (2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Electric Vehicles (EVs) are gaining popularity among consumers and are expected to play a significant role in the future of transportation. Within this paper, a reverse auction is formulated through an optimization problem to minimize the utility energy cost using Vehicle-to-Grid (V2G) operation, as well as transition residential communities to dispatchable aggregate constant load profiles for demand response (DR). The evolution-ary V2G Auction (eV2GA), including the non-dominated sorting genetic algorithm (NSGA-II), is proposed for the formulated problem. It uses co-simulation with OpenDSS for power flow analysis as part of the objective function to account for physical constraints of infrastructure on the cost analysis. The results are verified against a greedy method in two case studies on the IEEE 123 test feeder with modified residential load showing over 20 % reduction in cost from no v2G. It is demonstrated that physical power system constraints, such as line active power flow limits, may be implemented into the optimization through the proposed approach and do affect the V2G design solution by placing influence on location of the selected EV s in the distribution system.

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V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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