Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory

Huynh Ngoc Tran; DInh Hoa Nguyen; Michihiro Kawanichi; Tatsuo Narikiyo

doi:10.1109/VPPC46532.2019.8952464

Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory

Huynh Ngoc Tran, DInh Hoa Nguyen, Michihiro Kawanichi, Tatsuo Narikiyo

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

抄録

In this paper, we present our work on operational cost optimization problem of a microgrid with renewable energy and EV batteries. The sequential distributed consensus alternative direction method of multipliers which utilizes the average consensus of multi-agent system is applied to solve the problem in a distributed way. We also adopt an EV charging strategy with 3 charging scenarios to ensure a sufficient EV energy for EV trips. Furthermore, Toyota demonstration data is used for case studies. The simulation results show the usefulness of the distributed approach and characteristic of each EV charging scenario.

本文言語	英語
ホスト出版物のタイトル	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings
出版社	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子版）	9781728112497
DOI	https://doi.org/10.1109/VPPC46532.2019.8952464
出版ステータス	出版済み - 10月 2019
イベント	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Hanoi, ベトナム継続期間: 10月 14 2019 → 10月 17 2019

出版物シリーズ

名前	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

会議

会議	2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019
国/地域	ベトナム
City	Hanoi
Period	10/14/19 → 10/17/19

!!!All Science Journal Classification (ASJC) codes

制御と最適化
モデリングとシミュレーション
人工知能
輸送
エネルギー工学および電力技術
燃料技術
自動車工学
電子工学および電気工学

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1109/VPPC46532.2019.8952464

他のファイルとリンク

引用スタイル

Tran, H. N., Nguyen, DI. H., Kawanichi, M., & Narikiyo, T. (2019). Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory. In 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings [8952464] (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC46532.2019.8952464

Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory. / Tran, Huynh Ngoc; Nguyen, DInh Hoa; Kawanichi, Michihiro その他.
2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8952464 (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

Tran, HN, Nguyen, DIH, Kawanichi, M & Narikiyo, T 2019, Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory. in 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings., 8952464, 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019, Hanoi, ベトナム, 10/14/19. https://doi.org/10.1109/VPPC46532.2019.8952464

Tran HN, Nguyen DIH, Kawanichi M, Narikiyo T. Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory. In 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8952464. (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings). doi: 10.1109/VPPC46532.2019.8952464

Tran, Huynh Ngoc ; Nguyen, DInh Hoa ; Kawanichi, Michihiro その他. / Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory. 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings).

@inproceedings{7712dc207f5146a0a7b0e68a540db736,

title = "Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory",

abstract = "In this paper, we present our work on operational cost optimization problem of a microgrid with renewable energy and EV batteries. The sequential distributed consensus alternative direction method of multipliers which utilizes the average consensus of multi-agent system is applied to solve the problem in a distributed way. We also adopt an EV charging strategy with 3 charging scenarios to ensure a sufficient EV energy for EV trips. Furthermore, Toyota demonstration data is used for case studies. The simulation results show the usefulness of the distributed approach and characteristic of each EV charging scenario.",

author = "Tran, {Huynh Ngoc} and Nguyen, {DInh Hoa} and Michihiro Kawanichi and Tatsuo Narikiyo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 ; Conference date: 14-10-2019 Through 17-10-2019",

year = "2019",

month = oct,

doi = "10.1109/VPPC46532.2019.8952464",

language = "English",

series = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",

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

booktitle = "2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings",

address = "United States",

}

TY - GEN

T1 - Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory

AU - Tran, Huynh Ngoc

AU - Nguyen, DInh Hoa

AU - Kawanichi, Michihiro

AU - Narikiyo, Tatsuo

PY - 2019/10

Y1 - 2019/10

N2 - In this paper, we present our work on operational cost optimization problem of a microgrid with renewable energy and EV batteries. The sequential distributed consensus alternative direction method of multipliers which utilizes the average consensus of multi-agent system is applied to solve the problem in a distributed way. We also adopt an EV charging strategy with 3 charging scenarios to ensure a sufficient EV energy for EV trips. Furthermore, Toyota demonstration data is used for case studies. The simulation results show the usefulness of the distributed approach and characteristic of each EV charging scenario.

AB - In this paper, we present our work on operational cost optimization problem of a microgrid with renewable energy and EV batteries. The sequential distributed consensus alternative direction method of multipliers which utilizes the average consensus of multi-agent system is applied to solve the problem in a distributed way. We also adopt an EV charging strategy with 3 charging scenarios to ensure a sufficient EV energy for EV trips. Furthermore, Toyota demonstration data is used for case studies. The simulation results show the usefulness of the distributed approach and characteristic of each EV charging scenario.

UR - http://www.scopus.com/inward/record.url?scp=85078788429&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85078788429&partnerID=8YFLogxK

U2 - 10.1109/VPPC46532.2019.8952464

DO - 10.1109/VPPC46532.2019.8952464

M3 - Conference contribution

AN - SCOPUS:85078788429

T3 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

BT - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019

Y2 - 14 October 2019 through 17 October 2019

ER -

Optimization method for microgrid operation with photovoltaic generation and ev charging using multi-agent system theory

抄録

出版物シリーズ

会議

!!!All Science Journal Classification (ASJC) codes

UN SDG

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル