Cooperative optimal coordination for distributed energy resources

Tao Yang; Di Wu; Wei Ren; Hong Wang; Yiguang Hong; Karl Henrik Johansson

doi:10.1109/CDC.2017.8264614

Cooperative optimal coordination for distributed energy resources

Tao Yang, Di Wu, Wei Ren, Hong Wang, Yiguang Hong, Karl Henrik Johansson

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

14 Scopus citations

Abstract

In this paper, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storage devices. We propose an algorithm based on the push-sum and gradient method to optimally coordinate distributed generators and storage devices in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighbors over a time-varying directed communication network. We show that the proposed distributed algorithm solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected, which is a mild condition on the connectivity of communication topologies. The proposed distributed algorithm is illustrated and validated by numerical simulations.

Original language	English
Title of host publication	2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6334-6339
Number of pages	6
ISBN (Electronic)	9781509028733
DOIs	https://doi.org/10.1109/CDC.2017.8264614
State	Published - Jun 28 2017
Externally published	Yes
Event	56th IEEE Annual Conference on Decision and Control, CDC 2017 - Melbourne, Australia Duration: Dec 12 2017 → Dec 15 2017

Publication series

Name	2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
Volume	2018-January

Conference

Conference	56th IEEE Annual Conference on Decision and Control, CDC 2017
Country/Territory	Australia
City	Melbourne
Period	12/12/17 → 12/15/17

Funding

This work was supported in part by the Laboratory Directed Research and Development Program through the Control of Complex Systems Initiative at the Pacific Northwest National Laboratory, the Knut and Alice Wallenberg Foundation, and the Swedish Research Council.

Funders	Funder number
Laboratory Directed Research and Development
Pacific Northwest National Laboratory
Knut och Alice Wallenbergs Stiftelse
Vetenskapsrådet

Access to Document

10.1109/CDC.2017.8264614

Cite this

Yang, T., Wu, D., Ren, W., Wang, H., Hong, Y., & Johansson, K. H. (2017). Cooperative optimal coordination for distributed energy resources. In 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017 (pp. 6334-6339). (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2017.8264614

@inproceedings{c74bcf8f61c84d06b3b4af42240fb9ab,

title = "Cooperative optimal coordination for distributed energy resources",

abstract = "In this paper, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storage devices. We propose an algorithm based on the push-sum and gradient method to optimally coordinate distributed generators and storage devices in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighbors over a time-varying directed communication network. We show that the proposed distributed algorithm solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected, which is a mild condition on the connectivity of communication topologies. The proposed distributed algorithm is illustrated and validated by numerical simulations.",

author = "Tao Yang and Di Wu and Wei Ren and Hong Wang and Yiguang Hong and Johansson, {Karl Henrik}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 56th IEEE Annual Conference on Decision and Control, CDC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",

year = "2017",

month = jun,

day = "28",

doi = "10.1109/CDC.2017.8264614",

language = "English",

series = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",

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

pages = "6334--6339",

booktitle = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",

}

Yang, T, Wu, D, Ren, W, Wang, H, Hong, Y & Johansson, KH 2017, Cooperative optimal coordination for distributed energy resources. in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 6334-6339, 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8264614

Cooperative optimal coordination for distributed energy resources. / Yang, Tao; Wu, Di; Ren, Wei et al.
2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 6334-6339 (2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017; Vol. 2018-January).

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

TY - GEN

T1 - Cooperative optimal coordination for distributed energy resources

AU - Yang, Tao

AU - Wu, Di

AU - Ren, Wei

AU - Wang, Hong

AU - Hong, Yiguang

AU - Johansson, Karl Henrik

PY - 2017/6/28

Y1 - 2017/6/28

N2 - In this paper, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storage devices. We propose an algorithm based on the push-sum and gradient method to optimally coordinate distributed generators and storage devices in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighbors over a time-varying directed communication network. We show that the proposed distributed algorithm solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected, which is a mild condition on the connectivity of communication topologies. The proposed distributed algorithm is illustrated and validated by numerical simulations.

AB - In this paper, we consider the optimal coordination problem for distributed energy resources (DERs) including distributed generators and energy storage devices. We propose an algorithm based on the push-sum and gradient method to optimally coordinate distributed generators and storage devices in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighbors over a time-varying directed communication network. We show that the proposed distributed algorithm solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected, which is a mild condition on the connectivity of communication topologies. The proposed distributed algorithm is illustrated and validated by numerical simulations.

UR - http://www.scopus.com/inward/record.url?scp=85046139350&partnerID=8YFLogxK

U2 - 10.1109/CDC.2017.8264614

DO - 10.1109/CDC.2017.8264614

M3 - Conference contribution

AN - SCOPUS:85046139350

T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017

SP - 6334

EP - 6339

BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017

Y2 - 12 December 2017 through 15 December 2017

ER -

Cooperative optimal coordination for distributed energy resources

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this