Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost

Tope Roseline Olorunfemi; Nnamdi Nwulu

doi:10.1007/978-981-15-5753-8_54

Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost

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

This study develops a multi-objective optimization model, for the optimal operational schedule for a grid-connected microgrid. A combination of renewable and non-renewable energy sources were considered in the microgrid. This consists of photovoltaic (PV) solar energy, battery, and diesel generator. The optimization model has an objective function which seeks to simultaneously minimize diesel generator fuel cost, grid electricity, and battery wear cost. Two microgrid configurations were developed and compared to obtain the configuration with the minimal operational cost. The Advanced Interactive Multidimensional Modeling System (AIMMS) software was used to solve the model. Obtained results show the practicality of the developed model.

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	591-602
Number of pages	12
ISBN (Print)	9789811557521
DOIs	https://doi.org/10.1007/978-981-15-5753-8_54
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

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_54

Cite this

Olorunfemi, T. R., & Nwulu, N. (2020). Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost. In S. S. Emamian, F. Yusof, & M. Awang (Eds.), Advances in Manufacturing Engineering - Selected Articles from ICMMPE 2019 (pp. 591-602). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5753-8_54

Olorunfemi, Tope Roseline ; Nwulu, Nnamdi. / Hybrid microgrid systems : Operational schedule optimization considering time of use demand response and battery wear cost. 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. 591-602 (Lecture Notes in Mechanical Engineering).

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title = "Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost",

abstract = "This study develops a multi-objective optimization model, for the optimal operational schedule for a grid-connected microgrid. A combination of renewable and non-renewable energy sources were considered in the microgrid. This consists of photovoltaic (PV) solar energy, battery, and diesel generator. The optimization model has an objective function which seeks to simultaneously minimize diesel generator fuel cost, grid electricity, and battery wear cost. Two microgrid configurations were developed and compared to obtain the configuration with the minimal operational cost. The Advanced Interactive Multidimensional Modeling System (AIMMS) software was used to solve the model. Obtained results show the practicality of the developed model.",

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

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language = "English",

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publisher = "Springer Science and Business Media Deutschland GmbH",

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

address = "Germany",

}

Olorunfemi, TR & Nwulu, N 2020, Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost. 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. 591-602, 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_54

Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost. / 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. 591-602 (Lecture Notes in Mechanical Engineering).

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

TY - GEN

T1 - Hybrid microgrid systems

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

AU - Olorunfemi, Tope Roseline

AU - Nwulu, Nnamdi

PY - 2020

Y1 - 2020

N2 - This study develops a multi-objective optimization model, for the optimal operational schedule for a grid-connected microgrid. A combination of renewable and non-renewable energy sources were considered in the microgrid. This consists of photovoltaic (PV) solar energy, battery, and diesel generator. The optimization model has an objective function which seeks to simultaneously minimize diesel generator fuel cost, grid electricity, and battery wear cost. Two microgrid configurations were developed and compared to obtain the configuration with the minimal operational cost. The Advanced Interactive Multidimensional Modeling System (AIMMS) software was used to solve the model. Obtained results show the practicality of the developed model.

AB - This study develops a multi-objective optimization model, for the optimal operational schedule for a grid-connected microgrid. A combination of renewable and non-renewable energy sources were considered in the microgrid. This consists of photovoltaic (PV) solar energy, battery, and diesel generator. The optimization model has an objective function which seeks to simultaneously minimize diesel generator fuel cost, grid electricity, and battery wear cost. Two microgrid configurations were developed and compared to obtain the configuration with the minimal operational cost. The Advanced Interactive Multidimensional Modeling System (AIMMS) software was used to solve the model. Obtained results show the practicality of the developed model.

UR - https://www.scopus.com/pages/publications/85091302207

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DO - 10.1007/978-981-15-5753-8_54

M3 - Conference contribution

AN - SCOPUS:85091302207

SN - 9789811557521

T3 - Lecture Notes in Mechanical Engineering

SP - 591

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

A2 - Emamian, Seyed Sattar

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Y2 - 19 November 2019 through 21 November 2019

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Olorunfemi TR, Nwulu N. Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost. 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. 591-602. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-15-5753-8_54

Hybrid microgrid systems: Operational schedule optimization considering time of use demand response and battery wear cost

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

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