A review of mathematical optimization applications in renewable energy-powered microgrids

Tope Roseline Olorunfemi; Nnamdi Nwulu

doi:10.1007/978-981-15-5753-8_55

A review of mathematical optimization applications in renewable energy-powered microgrids

Tope Roseline Olorunfemi
, Nnamdi Nwulu

Electrical and Electronic Engineering Science

University of Johannesburg

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

1 Citation (Scopus)

Abstract

Renewable energy sources are being increasingly adopted because there is a need for alternative sources of power generation which are emission-free and environmentally friendly. These sources include solar energy, wind energy, marine energy, geothermal energy and battery storage systems. Mathematical optimization techniques have increasingly been deployed in sizing and scheduling renewable energy sources in microgrids. In this study, a systematic review of various energy sources, mathematical optimization techniques and applications of mathematical optimization techniques in renewable energy-powered microgrid is presented. It is observed from the review that mathematical optimization techniques have been used with great success in this domain. The review concludes with research gaps for future exploration.

Original language	English
Title of host publication	Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019
Editors	Seyed Sattar Emamian, Farazila Yusof, Mokhtar Awang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	603-613
Number of pages	11
ISBN (Print)	9789811557521
DOIs	https://doi.org/10.1007/978-981-15-5753-8_55
Publication status	Published - 2020
Event	5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 - Kuala Lumpur, Malaysia Duration: 19 Nov 2019 → 21 Nov 2019

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/11/19 → 21/11/19

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 14 Life Below Water

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Mechanical Engineering
Fluid Flow and Transfer Processes

Access to Document

10.1007/978-981-15-5753-8_55

Cite this

Olorunfemi, T. R., & Nwulu, N. (2020). A review of mathematical optimization applications in renewable energy-powered microgrids. In S. S. Emamian, F. Yusof, & M. Awang (Eds.), Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019 (pp. 603-613). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5753-8_55

Olorunfemi, Tope Roseline ; Nwulu, Nnamdi. / A review of mathematical optimization applications in renewable energy-powered microgrids. Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. editor / Seyed Sattar Emamian ; Farazila Yusof ; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2020. pp. 603-613 (Lecture Notes in Mechanical Engineering).

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title = "A review of mathematical optimization applications in renewable energy-powered microgrids",

abstract = "Renewable energy sources are being increasingly adopted because there is a need for alternative sources of power generation which are emission-free and environmentally friendly. These sources include solar energy, wind energy, marine energy, geothermal energy and battery storage systems. Mathematical optimization techniques have increasingly been deployed in sizing and scheduling renewable energy sources in microgrids. In this study, a systematic review of various energy sources, mathematical optimization techniques and applications of mathematical optimization techniques in renewable energy-powered microgrid is presented. It is observed from the review that mathematical optimization techniques have been used with great success in this domain. The review concludes with research gaps for future exploration.",

author = "Olorunfemi, \{Tope Roseline\} and Nnamdi Nwulu",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020.; 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019 ; Conference date: 19-11-2019 Through 21-11-2019",

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booktitle = "Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019",

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Olorunfemi, TR & Nwulu, N 2020, A review of mathematical optimization applications in renewable energy-powered microgrids. in SS Emamian, F Yusof & M Awang (eds), Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 603-613, 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019, Kuala Lumpur, Malaysia, 19/11/19. https://doi.org/10.1007/978-981-15-5753-8_55

A review of mathematical optimization applications in renewable energy-powered microgrids. / Olorunfemi, Tope Roseline; Nwulu, Nnamdi.
Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. ed. / Seyed Sattar Emamian; Farazila Yusof; Mokhtar Awang. Springer Science and Business Media Deutschland GmbH, 2020. p. 603-613 (Lecture Notes in Mechanical Engineering).

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

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AU - Nwulu, Nnamdi

PY - 2020

Y1 - 2020

N2 - Renewable energy sources are being increasingly adopted because there is a need for alternative sources of power generation which are emission-free and environmentally friendly. These sources include solar energy, wind energy, marine energy, geothermal energy and battery storage systems. Mathematical optimization techniques have increasingly been deployed in sizing and scheduling renewable energy sources in microgrids. In this study, a systematic review of various energy sources, mathematical optimization techniques and applications of mathematical optimization techniques in renewable energy-powered microgrid is presented. It is observed from the review that mathematical optimization techniques have been used with great success in this domain. The review concludes with research gaps for future exploration.

AB - Renewable energy sources are being increasingly adopted because there is a need for alternative sources of power generation which are emission-free and environmentally friendly. These sources include solar energy, wind energy, marine energy, geothermal energy and battery storage systems. Mathematical optimization techniques have increasingly been deployed in sizing and scheduling renewable energy sources in microgrids. In this study, a systematic review of various energy sources, mathematical optimization techniques and applications of mathematical optimization techniques in renewable energy-powered microgrid is presented. It is observed from the review that mathematical optimization techniques have been used with great success in this domain. The review concludes with research gaps for future exploration.

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U2 - 10.1007/978-981-15-5753-8_55

DO - 10.1007/978-981-15-5753-8_55

M3 - Conference contribution

AN - SCOPUS:85091304208

SN - 9789811557521

T3 - Lecture Notes in Mechanical Engineering

SP - 603

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BT - Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019

A2 - Emamian, Seyed Sattar

A2 - Yusof, Farazila

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2019

Y2 - 19 November 2019 through 21 November 2019

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Olorunfemi TR, Nwulu N. A review of mathematical optimization applications in renewable energy-powered microgrids. In Emamian SS, Yusof F, Awang M, editors, Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019. Springer Science and Business Media Deutschland GmbH. 2020. p. 603-613. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-15-5753-8_55

A review of mathematical optimization applications in renewable energy-powered microgrids

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

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