Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks

Libo Fan; Minhao Jin; Jiabin Huang; Zihan Kong; Yibin Liu; Lishi Zhang; Yanting Xue; Deliang Liang

doi:10.1007/978-981-97-1428-5_45

Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks

Libo Fan
, Minhao Jin
, Jiabin Huang
, Zihan Kong
, Yibin Liu
, Lishi Zhang
, Yanting Xue
, Deliang Liang

School of Electrical Engineering

State Grid Hangzhou Power Supply Company
Xi'an Jiaotong University

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

1 Scopus citations

Abstract

Distributed photovoltaic access to the distribution network will exacerbate the system three-phase imbalance and irrational reactive power distribution. For this reason, this paper accesses hybrid distribution transformers (HDTs) at each key node of the distribution network, utilizes the high controllability of HDTs, and realizes an unbalanced distribution network power allocation scheme based on HDT multi-machine cooperative regulation. The scheme is characterized by considering three-phase coupling, establishing an optimization model with the objectives of minimizing network loss, voltage offset and overrun, three-phase unbalance and grid unbalance, and completing the online solution with an improved particle swarm-sticky bacteria algorithm. The simulation shows that the proposed novel power optimization allocation scheme can effectively reduce the overall network loss and three-phase unbalance degree of the distribution network and improve the overall balance of the distribution network under three-phase unbalance and voltage overrun.

Original language	English
Title of host publication	The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II
Editors	Qingxin Yang, Zewen Li, An Luo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	398-407
Number of pages	10
ISBN (Print)	9789819714278
DOIs	https://doi.org/10.1007/978-981-97-1428-5_45
State	Published - 2024
Event	18th Annual Conference of China Electrotechnical Society, ACCES 2023 - Nanchang, China Duration: 15 Sep 2023 → 17 Sep 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1179 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	18th Annual Conference of China Electrotechnical Society, ACCES 2023
Country/Territory	China
City	Nanchang
Period	15/09/23 → 17/09/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Hybrid distribution transformers (HDT)
Multi-objective optimization
Optimal allocation
Unbalanced distribution network

Access to Document

10.1007/978-981-97-1428-5_45

Cite this

Fan, L., Jin, M., Huang, J., Kong, Z., Liu, Y., Zhang, L., Xue, Y., & Liang, D. (2024). Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks. In Q. Yang, Z. Li, & A. Luo (Eds.), The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II (pp. 398-407). (Lecture Notes in Electrical Engineering; Vol. 1179 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-1428-5_45

Fan, Libo ; Jin, Minhao ; Huang, Jiabin et al. / Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks. The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II. editor / Qingxin Yang ; Zewen Li ; An Luo. Springer Science and Business Media Deutschland GmbH, 2024. pp. 398-407 (Lecture Notes in Electrical Engineering).

@inproceedings{f03e05a80de44f3f879d759a72b051ff,

title = "Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks",

abstract = "Distributed photovoltaic access to the distribution network will exacerbate the system three-phase imbalance and irrational reactive power distribution. For this reason, this paper accesses hybrid distribution transformers (HDTs) at each key node of the distribution network, utilizes the high controllability of HDTs, and realizes an unbalanced distribution network power allocation scheme based on HDT multi-machine cooperative regulation. The scheme is characterized by considering three-phase coupling, establishing an optimization model with the objectives of minimizing network loss, voltage offset and overrun, three-phase unbalance and grid unbalance, and completing the online solution with an improved particle swarm-sticky bacteria algorithm. The simulation shows that the proposed novel power optimization allocation scheme can effectively reduce the overall network loss and three-phase unbalance degree of the distribution network and improve the overall balance of the distribution network under three-phase unbalance and voltage overrun.",

keywords = "Hybrid distribution transformers (HDT), Multi-objective optimization, Optimal allocation, Unbalanced distribution network",

author = "Libo Fan and Minhao Jin and Jiabin Huang and Zihan Kong and Yibin Liu and Lishi Zhang and Yanting Xue and Deliang Liang",

note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2024.; 18th Annual Conference of China Electrotechnical Society, ACCES 2023 ; Conference date: 15-09-2023 Through 17-09-2023",

year = "2024",

doi = "10.1007/978-981-97-1428-5\_45",

language = "英语",

isbn = "9789819714278",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "398--407",

editor = "Qingxin Yang and Zewen Li and An Luo",

booktitle = "The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II",

}

Fan, L, Jin, M, Huang, J, Kong, Z, Liu, Y, Zhang, L, Xue, Y & Liang, D 2024, Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks. in Q Yang, Z Li & A Luo (eds), The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II. Lecture Notes in Electrical Engineering, vol. 1179 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 398-407, 18th Annual Conference of China Electrotechnical Society, ACCES 2023, Nanchang, China, 15/09/23. https://doi.org/10.1007/978-981-97-1428-5_45

Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks. / Fan, Libo; Jin, Minhao; Huang, Jiabin et al.
The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II. ed. / Qingxin Yang; Zewen Li; An Luo. Springer Science and Business Media Deutschland GmbH, 2024. p. 398-407 (Lecture Notes in Electrical Engineering; Vol. 1179 LNEE).

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

TY - GEN

T1 - Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks

AU - Fan, Libo

AU - Jin, Minhao

AU - Huang, Jiabin

AU - Kong, Zihan

AU - Liu, Yibin

AU - Zhang, Lishi

AU - Xue, Yanting

AU - Liang, Deliang

N1 - Publisher Copyright: © Beijing Paike Culture Commu. Co., Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - Distributed photovoltaic access to the distribution network will exacerbate the system three-phase imbalance and irrational reactive power distribution. For this reason, this paper accesses hybrid distribution transformers (HDTs) at each key node of the distribution network, utilizes the high controllability of HDTs, and realizes an unbalanced distribution network power allocation scheme based on HDT multi-machine cooperative regulation. The scheme is characterized by considering three-phase coupling, establishing an optimization model with the objectives of minimizing network loss, voltage offset and overrun, three-phase unbalance and grid unbalance, and completing the online solution with an improved particle swarm-sticky bacteria algorithm. The simulation shows that the proposed novel power optimization allocation scheme can effectively reduce the overall network loss and three-phase unbalance degree of the distribution network and improve the overall balance of the distribution network under three-phase unbalance and voltage overrun.

AB - Distributed photovoltaic access to the distribution network will exacerbate the system three-phase imbalance and irrational reactive power distribution. For this reason, this paper accesses hybrid distribution transformers (HDTs) at each key node of the distribution network, utilizes the high controllability of HDTs, and realizes an unbalanced distribution network power allocation scheme based on HDT multi-machine cooperative regulation. The scheme is characterized by considering three-phase coupling, establishing an optimization model with the objectives of minimizing network loss, voltage offset and overrun, three-phase unbalance and grid unbalance, and completing the online solution with an improved particle swarm-sticky bacteria algorithm. The simulation shows that the proposed novel power optimization allocation scheme can effectively reduce the overall network loss and three-phase unbalance degree of the distribution network and improve the overall balance of the distribution network under three-phase unbalance and voltage overrun.

KW - Hybrid distribution transformers (HDT)

KW - Multi-objective optimization

KW - Optimal allocation

KW - Unbalanced distribution network

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U2 - 10.1007/978-981-97-1428-5_45

DO - 10.1007/978-981-97-1428-5_45

M3 - 会议稿件

AN - SCOPUS:85190478756

SN - 9789819714278

T3 - Lecture Notes in Electrical Engineering

SP - 398

EP - 407

BT - The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II

A2 - Yang, Qingxin

A2 - Li, Zewen

A2 - Luo, An

PB - Springer Science and Business Media Deutschland GmbH

T2 - 18th Annual Conference of China Electrotechnical Society, ACCES 2023

Y2 - 15 September 2023 through 17 September 2023

ER -

Fan L, Jin M, Huang J, Kong Z, Liu Y, Zhang L et al. Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks. In Yang Q, Li Z, Luo A, editors, The Proceedings of the 18th Annual Conference of China Electrotechnical Society - Volume II. Springer Science and Business Media Deutschland GmbH. 2024. p. 398-407. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-1428-5_45

Multi-machine Collaboration and Optimization of Hybrid Distribution Transformers in Unbalanced Active Distribution Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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