An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems

Zhibin Wang; Shanying Zhu; Tie DIng; Tao DIng; Fangxing Li

doi:10.1109/PESGM46819.2021.9637918

An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems

Zhibin Wang
, Shanying Zhu
, Tie DIng
, Tao DIng
, Fangxing Li

School of Electrical Engineering

Shanghai Jiao Tong University
University of Tennessee

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

6 Scopus citations

Abstract

Multi-energy systems (MESs) whereby various energy carriers are coordinated at various levels have definite improvements over traditional separate energy systems economically and environmentally. Concentrations on economic dispatch (ED) problem in MESs are increasing to achieve more efficient performance. However, most existing methods use a centralized framework which suffers from large cost of long-distance communications and low robustness in large-scale systems. This paper studies the ED problem in MESs with energy storages in a distributed manner, where local agents cooperate to minimize the overall generation cost based on information from neighboring agents only. By handling the non-convexity incurred by the coupling among different energy carriers and energy storages, a distributed algorithm based on ADMM and dynamic consensus mechanism is proposed. The effectiveness of the proposed algorithm are verified through a set of case studies.

Original language	English
Title of host publication	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665405072
DOIs	https://doi.org/10.1109/PESGM46819.2021.9637918
State	Published - 2021
Event	2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: 26 Jul 2021 → 29 Jul 2021

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2021-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Country/Territory	United States
City	Washington
Period	26/07/21 → 29/07/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

ADMM
Multi-energy systems
distributed algorithm
economic dispatch

Access to Document

10.1109/PESGM46819.2021.9637918

Cite this

@inproceedings{73826a2969754bff8899f01c27fe6531,

title = "An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems",

abstract = "Multi-energy systems (MESs) whereby various energy carriers are coordinated at various levels have definite improvements over traditional separate energy systems economically and environmentally. Concentrations on economic dispatch (ED) problem in MESs are increasing to achieve more efficient performance. However, most existing methods use a centralized framework which suffers from large cost of long-distance communications and low robustness in large-scale systems. This paper studies the ED problem in MESs with energy storages in a distributed manner, where local agents cooperate to minimize the overall generation cost based on information from neighboring agents only. By handling the non-convexity incurred by the coupling among different energy carriers and energy storages, a distributed algorithm based on ADMM and dynamic consensus mechanism is proposed. The effectiveness of the proposed algorithm are verified through a set of case studies.",

keywords = "ADMM, Multi-energy systems, distributed algorithm, economic dispatch",

author = "Zhibin Wang and Shanying Zhu and Tie DIng and Tao DIng and Fangxing Li",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 ; Conference date: 26-07-2021 Through 29-07-2021",

year = "2021",

doi = "10.1109/PESGM46819.2021.9637918",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2021 IEEE Power and Energy Society General Meeting, PESGM 2021",

}

Wang, Z, Zhu, S, DIng, T, DIng, T & Li, F 2021, An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems. in 2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Power and Energy Society General Meeting, vol. 2021-July, IEEE Computer Society, 2021 IEEE Power and Energy Society General Meeting, PESGM 2021, Washington, United States, 26/07/21. https://doi.org/10.1109/PESGM46819.2021.9637918

An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems. / Wang, Zhibin; Zhu, Shanying; DIng, Tie et al.
2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Computer Society, 2021. (IEEE Power and Energy Society General Meeting; Vol. 2021-July).

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

TY - GEN

T1 - An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems

AU - Wang, Zhibin

AU - Zhu, Shanying

AU - DIng, Tie

AU - DIng, Tao

AU - Li, Fangxing

PY - 2021

Y1 - 2021

N2 - Multi-energy systems (MESs) whereby various energy carriers are coordinated at various levels have definite improvements over traditional separate energy systems economically and environmentally. Concentrations on economic dispatch (ED) problem in MESs are increasing to achieve more efficient performance. However, most existing methods use a centralized framework which suffers from large cost of long-distance communications and low robustness in large-scale systems. This paper studies the ED problem in MESs with energy storages in a distributed manner, where local agents cooperate to minimize the overall generation cost based on information from neighboring agents only. By handling the non-convexity incurred by the coupling among different energy carriers and energy storages, a distributed algorithm based on ADMM and dynamic consensus mechanism is proposed. The effectiveness of the proposed algorithm are verified through a set of case studies.

AB - Multi-energy systems (MESs) whereby various energy carriers are coordinated at various levels have definite improvements over traditional separate energy systems economically and environmentally. Concentrations on economic dispatch (ED) problem in MESs are increasing to achieve more efficient performance. However, most existing methods use a centralized framework which suffers from large cost of long-distance communications and low robustness in large-scale systems. This paper studies the ED problem in MESs with energy storages in a distributed manner, where local agents cooperate to minimize the overall generation cost based on information from neighboring agents only. By handling the non-convexity incurred by the coupling among different energy carriers and energy storages, a distributed algorithm based on ADMM and dynamic consensus mechanism is proposed. The effectiveness of the proposed algorithm are verified through a set of case studies.

KW - ADMM

KW - Multi-energy systems

KW - distributed algorithm

KW - economic dispatch

UR - https://www.scopus.com/pages/publications/85103433329

U2 - 10.1109/PESGM46819.2021.9637918

DO - 10.1109/PESGM46819.2021.9637918

M3 - 会议稿件

AN - SCOPUS:85103433329

T3 - IEEE Power and Energy Society General Meeting

BT - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021

PB - IEEE Computer Society

T2 - 2021 IEEE Power and Energy Society General Meeting, PESGM 2021

Y2 - 26 July 2021 through 29 July 2021

ER -

An ADMM-based Distributed Algorithm for Economic Dispatch in Multi-energy Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this