Energy management and trading in a smart microgrid

O. M. Longe; K. Ouahada

doi:10.1109/ICASTECH.2018.8506981

Energy management and trading in a smart microgrid

O. M. Longe, K. Ouahada

Electrical and Electronic Engineering Science

University of Johannesburg

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

3 Citations (Scopus)

Abstract

Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) are finding increasing applications in Demand Side Management (DSM) due to their potentials for grid power system balance and arbitrage opportunities. A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers and a large-scale energy storage device is considered in this work. Energy management by each smart entity is carried out by the proposed Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA) installed within the network according to consumer type. Each smart consumer optimises its energy consumption, expenditure and trading for comfort and profit. The proposed model was observed to yield financial benefits, grid reliability and sustainability, reduced investment on peaker plants, reduced Peak-to-Average-Ratio (PAR) demand and associated environmental benefits.

Original language	English
Title of host publication	2018 IEEE 7th International Conference on Adaptive Science and Technology, ICAST 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538642337
DOIs	https://doi.org/10.1109/ICASTECH.2018.8506981
Publication status	Published - 24 Oct 2018
Event	7th IEEE International Conference on Adaptive Science and Technology, ICAST 2018 - Accra, Ghana Duration: 22 Aug 2018 → 24 Aug 2018

Publication series

Name	IEEE International Conference on Adaptive Science and Technology, ICAST
Volume	2018-August
ISSN (Print)	2326-9413
ISSN (Electronic)	2326-9448

Conference

Conference	7th IEEE International Conference on Adaptive Science and Technology, ICAST 2018
Country/Territory	Ghana
City	Accra
Period	22/08/18 → 24/08/18

Keywords

Demand Side Management (DSM)
Distributed Energy Generation (DEG)
Distributed Energy Storage (DES)
Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA)
Smart microgrid

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Software
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/ICASTECH.2018.8506981

Cite this

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title = "Energy management and trading in a smart microgrid",

abstract = "Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) are finding increasing applications in Demand Side Management (DSM) due to their potentials for grid power system balance and arbitrage opportunities. A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers and a large-scale energy storage device is considered in this work. Energy management by each smart entity is carried out by the proposed Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA) installed within the network according to consumer type. Each smart consumer optimises its energy consumption, expenditure and trading for comfort and profit. The proposed model was observed to yield financial benefits, grid reliability and sustainability, reduced investment on peaker plants, reduced Peak-to-Average-Ratio (PAR) demand and associated environmental benefits.",

keywords = "Demand Side Management (DSM), Distributed Energy Generation (DEG), Distributed Energy Storage (DES), Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA), Smart microgrid",

author = "Longe, {O. M.} and K. Ouahada",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 7th IEEE International Conference on Adaptive Science and Technology, ICAST 2018 ; Conference date: 22-08-2018 Through 24-08-2018",

year = "2018",

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doi = "10.1109/ICASTECH.2018.8506981",

language = "English",

series = "IEEE International Conference on Adaptive Science and Technology, ICAST",

publisher = "IEEE Computer Society",

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Longe, OM & Ouahada, K 2018, Energy management and trading in a smart microgrid. in 2018 IEEE 7th International Conference on Adaptive Science and Technology, ICAST 2018., 8506981, IEEE International Conference on Adaptive Science and Technology, ICAST, vol. 2018-August, IEEE Computer Society, 7th IEEE International Conference on Adaptive Science and Technology, ICAST 2018, Accra, Ghana, 22/08/18. https://doi.org/10.1109/ICASTECH.2018.8506981

Energy management and trading in a smart microgrid. / Longe, O. M.; Ouahada, K.
2018 IEEE 7th International Conference on Adaptive Science and Technology, ICAST 2018. IEEE Computer Society, 2018. 8506981 (IEEE International Conference on Adaptive Science and Technology, ICAST; Vol. 2018-August).

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

TY - GEN

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AU - Longe, O. M.

AU - Ouahada, K.

PY - 2018/10/24

Y1 - 2018/10/24

N2 - Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) are finding increasing applications in Demand Side Management (DSM) due to their potentials for grid power system balance and arbitrage opportunities. A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers and a large-scale energy storage device is considered in this work. Energy management by each smart entity is carried out by the proposed Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA) installed within the network according to consumer type. Each smart consumer optimises its energy consumption, expenditure and trading for comfort and profit. The proposed model was observed to yield financial benefits, grid reliability and sustainability, reduced investment on peaker plants, reduced Peak-to-Average-Ratio (PAR) demand and associated environmental benefits.

AB - Distributed Energy Generation (DEG) and Distributed Energy Storage (DES) are finding increasing applications in Demand Side Management (DSM) due to their potentials for grid power system balance and arbitrage opportunities. A grid-connected smart microgrid comprising heterogeneous (active and passive) smart consumers and a large-scale energy storage device is considered in this work. Energy management by each smart entity is carried out by the proposed Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA) installed within the network according to consumer type. Each smart consumer optimises its energy consumption, expenditure and trading for comfort and profit. The proposed model was observed to yield financial benefits, grid reliability and sustainability, reduced investment on peaker plants, reduced Peak-to-Average-Ratio (PAR) demand and associated environmental benefits.

KW - Demand Side Management (DSM)

KW - Distributed Energy Generation (DEG)

KW - Distributed Energy Storage (DES)

KW - Microgrid Energy Management - Distributed Optimisation Algorithm (MEM-DOA)

KW - Smart microgrid

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M3 - Conference contribution

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ER -

Energy management and trading in a smart microgrid

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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