A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage

Muhammad Khalid; Andrey V. Savkin; Vassilios G. Agelidis

doi:10.1109/ChiCC.2016.7554728

A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage

Muhammad Khalid, Andrey V. Savkin, Vassilios G. Agelidis

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

3 Scopus citations

Abstract

This paper presents a methodology to minimize the total cost of buying power from different energy producers including renewable energy generations particularly within the context of a microgrid. The proposed idea is primarily based on the controlled operation of a battery energy storage system (BESS) in the presence of practical system constraints coupled with our proposed cost optimization algorithm. The complex optimization problem with constraints has been solved using the well-known concept of dynamic programming (DP). Twofold benefits of the proposed methodology lie in minimizing the total cost along with the constraint-based efficient operation of the BESS.

Original language	English
Title of host publication	Proceedings of the 35th Chinese Control Conference, CCC 2016
Editors	Jie Chen, Qianchuan Zhao, Jie Chen
Publisher	IEEE Computer Society
Pages	8596-8600
Number of pages	5
ISBN (Electronic)	9789881563910
DOIs	https://doi.org/10.1109/ChiCC.2016.7554728
State	Published - 26 Aug 2016

Publication series

Name	Chinese Control Conference, CCC
Volume	2016-August
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Bibliographical note

Publisher Copyright:
© 2016 TCCT.

Keywords

Battery Energy Storage
Dynamic Programming
Microgrids
Renewable Energy Sources

ASJC Scopus subject areas

Computer Science Applications
Control and Systems Engineering
Applied Mathematics
Modeling and Simulation

UN SDGs

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

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10.1109/ChiCC.2016.7554728

Cite this

Khalid, M., Savkin, A. V., & Agelidis, V. G. (2016). A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage. In J. Chen, Q. Zhao, & J. Chen (Eds.), Proceedings of the 35th Chinese Control Conference, CCC 2016 (pp. 8596-8600). Article 7554728 (Chinese Control Conference, CCC; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2016.7554728

Khalid, Muhammad ; Savkin, Andrey V. ; Agelidis, Vassilios G. / A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage. Proceedings of the 35th Chinese Control Conference, CCC 2016. editor / Jie Chen ; Qianchuan Zhao ; Jie Chen. IEEE Computer Society, 2016. pp. 8596-8600 (Chinese Control Conference, CCC).

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abstract = "This paper presents a methodology to minimize the total cost of buying power from different energy producers including renewable energy generations particularly within the context of a microgrid. The proposed idea is primarily based on the controlled operation of a battery energy storage system (BESS) in the presence of practical system constraints coupled with our proposed cost optimization algorithm. The complex optimization problem with constraints has been solved using the well-known concept of dynamic programming (DP). Twofold benefits of the proposed methodology lie in minimizing the total cost along with the constraint-based efficient operation of the BESS.",

keywords = "Battery Energy Storage, Dynamic Programming, Microgrids, Renewable Energy Sources",

author = "Muhammad Khalid and Savkin, \{Andrey V.\} and Agelidis, \{Vassilios G.\}",

note = "Publisher Copyright: {\textcopyright} 2016 TCCT.",

year = "2016",

month = aug,

day = "26",

doi = "10.1109/ChiCC.2016.7554728",

language = "English",

series = "Chinese Control Conference, CCC",

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Khalid, M, Savkin, AV & Agelidis, VG 2016, A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage. in J Chen, Q Zhao & J Chen (eds), Proceedings of the 35th Chinese Control Conference, CCC 2016., 7554728, Chinese Control Conference, CCC, vol. 2016-August, IEEE Computer Society, pp. 8596-8600. https://doi.org/10.1109/ChiCC.2016.7554728

A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage. / Khalid, Muhammad; Savkin, Andrey V.; Agelidis, Vassilios G.
Proceedings of the 35th Chinese Control Conference, CCC 2016. ed. / Jie Chen; Qianchuan Zhao; Jie Chen. IEEE Computer Society, 2016. p. 8596-8600 7554728 (Chinese Control Conference, CCC; Vol. 2016-August).

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

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AB - This paper presents a methodology to minimize the total cost of buying power from different energy producers including renewable energy generations particularly within the context of a microgrid. The proposed idea is primarily based on the controlled operation of a battery energy storage system (BESS) in the presence of practical system constraints coupled with our proposed cost optimization algorithm. The complex optimization problem with constraints has been solved using the well-known concept of dynamic programming (DP). Twofold benefits of the proposed methodology lie in minimizing the total cost along with the constraint-based efficient operation of the BESS.

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Khalid M, Savkin AV, Agelidis VG. A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage. In Chen J, Zhao Q, Chen J, editors, Proceedings of the 35th Chinese Control Conference, CCC 2016. IEEE Computer Society. 2016. p. 8596-8600. 7554728. (Chinese Control Conference, CCC). doi: 10.1109/ChiCC.2016.7554728

A method for minimizing energy cost in a microgrid with hybrid renewable power generation using controlled battery energy storage

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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