Peak shaving of an EV Aggregator Using Quadratic Programming

Min Gyu Seo; Chung Hun Kim; Se Kyung Han

doi:10.1109/ISGT-Asia.2019.8881072

Peak shaving of an EV Aggregator Using Quadratic Programming

Min Gyu Seo
, Chung Hun Kim
, Se Kyung Han

Department of Electrical Engineering

Kyungpook National University

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

4 Scopus citations

Abstract

The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is expressed in a convex form to generate an EV optimum charge/discharge schedule, and a minimum peak is achieved by a linear search. It is implemented in quadratic programming in MATLAB Tool box to express peak shaving problem in convex form and binary search tree is used to minimize the peak. For validation of performance of the proposed method. Various load patterns of industrial buildings are considered. Simulation results show that it is possible to reduce electricity cost about 10% compared to EV.

Original language	English
Title of host publication	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2794-2798
Number of pages	5
ISBN (Electronic)	9781728135205
DOIs	https://doi.org/10.1109/ISGT-Asia.2019.8881072
State	Published - May 2019
Event	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 - Chengdu, China Duration: 21 May 2019 → 24 May 2019

Publication series

Name	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

Conference

Conference	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
Country/Territory	China
City	Chengdu
Period	21/05/19 → 24/05/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Binary Search Tree
EV Aggregator
Peak Shaving
Quadratic Programming
V2G

Access to Document

10.1109/ISGT-Asia.2019.8881072

Cite this

Seo, M. G., Kim, C. H., & Han, S. K. (2019). Peak shaving of an EV Aggregator Using Quadratic Programming. In 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 (pp. 2794-2798). Article 8881072 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2019.8881072

@inproceedings{104d5aedf1be44a4adb44ed2691a81a3,

title = "Peak shaving of an EV Aggregator Using Quadratic Programming",

abstract = "The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is expressed in a convex form to generate an EV optimum charge/discharge schedule, and a minimum peak is achieved by a linear search. It is implemented in quadratic programming in MATLAB Tool box to express peak shaving problem in convex form and binary search tree is used to minimize the peak. For validation of performance of the proposed method. Various load patterns of industrial buildings are considered. Simulation results show that it is possible to reduce electricity cost about 10\% compared to EV.",

keywords = "Binary Search Tree, EV Aggregator, Peak Shaving, Quadratic Programming, V2G",

author = "Seo, \{Min Gyu\} and Kim, \{Chung Hun\} and Han, \{Se Kyung\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 ; Conference date: 21-05-2019 Through 24-05-2019",

year = "2019",

month = may,

doi = "10.1109/ISGT-Asia.2019.8881072",

language = "English",

series = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2794--2798",

booktitle = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

address = "United States",

}

Seo, MG, Kim, CH & Han, SK 2019, Peak shaving of an EV Aggregator Using Quadratic Programming. in 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019., 8881072, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 2794-2798, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Chengdu, China, 21/05/19. https://doi.org/10.1109/ISGT-Asia.2019.8881072

Peak shaving of an EV Aggregator Using Quadratic Programming. / Seo, Min Gyu; Kim, Chung Hun; Han, Se Kyung.
2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2794-2798 8881072 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019).

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

TY - GEN

T1 - Peak shaving of an EV Aggregator Using Quadratic Programming

AU - Seo, Min Gyu

AU - Kim, Chung Hun

AU - Han, Se Kyung

PY - 2019/5

Y1 - 2019/5

N2 - The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is expressed in a convex form to generate an EV optimum charge/discharge schedule, and a minimum peak is achieved by a linear search. It is implemented in quadratic programming in MATLAB Tool box to express peak shaving problem in convex form and binary search tree is used to minimize the peak. For validation of performance of the proposed method. Various load patterns of industrial buildings are considered. Simulation results show that it is possible to reduce electricity cost about 10% compared to EV.

AB - The paper proposes a method of peak shaving through control of EV Aggregator in industrial buildings. Peak shaving based on a heuristic algorithm which is not suitable in real field is expressed in a convex form to generate an EV optimum charge/discharge schedule, and a minimum peak is achieved by a linear search. It is implemented in quadratic programming in MATLAB Tool box to express peak shaving problem in convex form and binary search tree is used to minimize the peak. For validation of performance of the proposed method. Various load patterns of industrial buildings are considered. Simulation results show that it is possible to reduce electricity cost about 10% compared to EV.

KW - Binary Search Tree

KW - EV Aggregator

KW - Peak Shaving

KW - Quadratic Programming

KW - V2G

UR - https://www.scopus.com/pages/publications/85074926434

U2 - 10.1109/ISGT-Asia.2019.8881072

DO - 10.1109/ISGT-Asia.2019.8881072

M3 - Conference contribution

AN - SCOPUS:85074926434

T3 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

SP - 2794

EP - 2798

BT - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

Y2 - 21 May 2019 through 24 May 2019

ER -

Peak shaving of an EV Aggregator Using Quadratic Programming

Abstract

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UN SDGs

Keywords

Access to Document

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