Operations optimization of hybrid energy systems under variable markets

Jun Chen; Humberto E. Garcia

doi:10.1109/ACC.2016.7525412

Operations optimization of hybrid energy systems under variable markets

Jun Chen
, Humberto E. Garcia

Systems Science & Engineering

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

4 Scopus citations

Abstract

Hybrid energy systems (HES) have been proposed to be an important element to enable increasing penetration of clean energy. This paper investigates the operations flexibility of HES, and develops a methodology for operations optimization to maximize its economic value based on predicted renewable generation and market information. The proposed operations optimizer allows systematic control of energy conversion for maximal economic value, and is illustrated by numerical results.

Original language	English
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3212-3218
Number of pages	7
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525412
State	Published - Jul 28 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: Jul 6 2016 → Jul 8 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Conference

Conference	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	07/6/16 → 07/8/16

Keywords

Hybrid energy systems
Operations optimization
Renewable

Access to Document

10.1109/ACC.2016.7525412

Cite this

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title = "Operations optimization of hybrid energy systems under variable markets",

abstract = "Hybrid energy systems (HES) have been proposed to be an important element to enable increasing penetration of clean energy. This paper investigates the operations flexibility of HES, and develops a methodology for operations optimization to maximize its economic value based on predicted renewable generation and market information. The proposed operations optimizer allows systematic control of energy conversion for maximal economic value, and is illustrated by numerical results.",

keywords = "Hybrid energy systems, Operations optimization, Renewable",

author = "Jun Chen and Garcia, \{Humberto E.\}",

note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

year = "2016",

month = jul,

day = "28",

doi = "10.1109/ACC.2016.7525412",

language = "English",

series = "Proceedings of the American Control Conference",

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

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Chen, J & Garcia, HE 2016, Operations optimization of hybrid energy systems under variable markets. in 2016 American Control Conference, ACC 2016., 7525412, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 3212-3218, 2016 American Control Conference, ACC 2016, Boston, United States, 07/6/16. https://doi.org/10.1109/ACC.2016.7525412

Operations optimization of hybrid energy systems under variable markets. / Chen, Jun; Garcia, Humberto E.
2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3212-3218 7525412 (Proceedings of the American Control Conference; Vol. 2016-July).

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

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AU - Chen, Jun

AU - Garcia, Humberto E.

PY - 2016/7/28

Y1 - 2016/7/28

N2 - Hybrid energy systems (HES) have been proposed to be an important element to enable increasing penetration of clean energy. This paper investigates the operations flexibility of HES, and develops a methodology for operations optimization to maximize its economic value based on predicted renewable generation and market information. The proposed operations optimizer allows systematic control of energy conversion for maximal economic value, and is illustrated by numerical results.

AB - Hybrid energy systems (HES) have been proposed to be an important element to enable increasing penetration of clean energy. This paper investigates the operations flexibility of HES, and develops a methodology for operations optimization to maximize its economic value based on predicted renewable generation and market information. The proposed operations optimizer allows systematic control of energy conversion for maximal economic value, and is illustrated by numerical results.

KW - Hybrid energy systems

KW - Operations optimization

KW - Renewable

UR - https://www.scopus.com/pages/publications/84992052385

U2 - 10.1109/ACC.2016.7525412

DO - 10.1109/ACC.2016.7525412

M3 - Conference contribution

AN - SCOPUS:84992052385

T3 - Proceedings of the American Control Conference

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EP - 3218

BT - 2016 American Control Conference, ACC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 American Control Conference, ACC 2016

Y2 - 6 July 2016 through 8 July 2016

ER -

Operations optimization of hybrid energy systems under variable markets

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Keywords

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