Distributed optimization for multi-time slot economic dispatch

Luwei Yang; Tao Liu; David J. Hill

doi:10.1109/PESGM40551.2019.8973892

Distributed optimization for multi-time slot economic dispatch

Luwei Yang, Tao Liu, David J. Hill

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

2 Citations (Scopus)

Abstract

In this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	2019 IEEE Power & Energy Society General Meeting (PESGM 2019)
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	3172-3176
Number of pages	5
ISBN (Electronic)	9781728119816
ISBN (Print)	9781728119823
DOIs	https://doi.org/10.1109/PESGM40551.2019.8973892
Publication status	Published - 2019
Externally published	Yes
Event	IEEE Power and Energy Society General Meeting 2019 - Atlanta, United States of America Duration: 4 Aug 2019 → 8 Aug 2019 https://www.aconf.org/conf_146327.html (Website)

Publication series

Name	IEEE Power and Energy Society General Meeting
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	IEEE Power and Energy Society General Meeting 2019
Abbreviated title	PESGM 2019
Country/Territory	United States of America
City	Atlanta
Period	4/08/19 → 8/08/19
Internet address	https://www.aconf.org/conf_146327.html (Website)

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

distributed optimization
economic dispatch
Energy storage systems
line congestion management

Access to Document

10.1109/PESGM40551.2019.8973892

Cite this

@inproceedings{628d5a3d65414afbb38822449037fff3,

title = "Distributed optimization for multi-time slot economic dispatch",

abstract = "In this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.",

keywords = "distributed optimization, economic dispatch, Energy storage systems, line congestion management",

author = "Luwei Yang and Tao Liu and Hill, \{David J.\}",

note = "Funding Information: This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region under the Theme-Based Research Scheme through Project No. T23-701/14-N and General Research Fund Through Project No. 17256516. Liu{\textquoteright}s work was also supported by the University of Hong Kong Research Committee Research Assistant Professor Scheme. Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE Power and Energy Society General Meeting 2019, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

doi = "10.1109/PESGM40551.2019.8973892",

language = "English",

isbn = "9781728119823",

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

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "3172--3176",

booktitle = "2019 IEEE Power \& Energy Society General Meeting (PESGM 2019)",

address = "United States of America",

url = "https://www.aconf.org/conf\_146327.html",

}

Yang, L, Liu, T & Hill, DJ 2019, Distributed optimization for multi-time slot economic dispatch. in 2019 IEEE Power & Energy Society General Meeting (PESGM 2019). IEEE Power and Energy Society General Meeting, vol. 2019-August, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 3172-3176, IEEE Power and Energy Society General Meeting 2019, Atlanta, Georgia, United States of America, 4/08/19. https://doi.org/10.1109/PESGM40551.2019.8973892

Distributed optimization for multi-time slot economic dispatch. / Yang, Luwei; Liu, Tao; Hill, David J.
2019 IEEE Power & Energy Society General Meeting (PESGM 2019). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 3172-3176 (IEEE Power and Energy Society General Meeting; Vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

TY - GEN

T1 - Distributed optimization for multi-time slot economic dispatch

AU - Yang, Luwei

AU - Liu, Tao

AU - Hill, David J.

N1 - Funding Information: This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region under the Theme-Based Research Scheme through Project No. T23-701/14-N and General Research Fund Through Project No. 17256516. Liu’s work was also supported by the University of Hong Kong Research Committee Research Assistant Professor Scheme. Publisher Copyright: © 2019 IEEE.

PY - 2019

Y1 - 2019

N2 - In this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.

AB - In this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.

KW - distributed optimization

KW - economic dispatch

KW - Energy storage systems

KW - line congestion management

UR - https://www.scopus.com/pages/publications/85079071495

U2 - 10.1109/PESGM40551.2019.8973892

DO - 10.1109/PESGM40551.2019.8973892

M3 - Conference Paper

AN - SCOPUS:85079071495

SN - 9781728119823

T3 - IEEE Power and Energy Society General Meeting

SP - 3172

EP - 3176

BT - 2019 IEEE Power & Energy Society General Meeting (PESGM 2019)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE Power and Energy Society General Meeting 2019

Y2 - 4 August 2019 through 8 August 2019

ER -

Distributed optimization for multi-time slot economic dispatch

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this