A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Haotian Deng; Jing Jiang; Haiya Qian; Hongjian Sun

doi:10.1109/ICSGSC56353.2022.9963000

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Haotian Deng, Jing Jiang, Haiya Qian, Hongjian Sun

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

1 Citation (Scopus)

70 Downloads (Pure)

Abstract

Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.

Original language	English
Title of host publication	2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
Place of Publication	Piscataway, US
Publisher	IEEE
Pages	126-131
Number of pages	6
ISBN (Electronic)	9781665487832, 9781665487825
ISBN (Print)	9781665487849
DOIs	https://doi.org/10.1109/ICSGSC56353.2022.9963000
Publication status	Published - 22 Oct 2022
Event	2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC) - Chengdu, China Duration: 22 Oct 2022 → 24 Oct 2022 http://www.csgsc.net/

Publication series

Name	International Conference on Smart Grid and Smart Cities (ICSGSC)
Publisher	IEEE
ISSN (Print)	2768-007X
ISSN (Electronic)	2768-0088

Conference

Conference	2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
Country/Territory	China
City	Chengdu
Period	22/10/22 → 24/10/22
Internet address	http://www.csgsc.net/

Keywords

microgrid
demand side managementoptimization
optimization
photovoltaics
wind turbines
demand side management

UN SDGs

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

Access to Document

10.1109/ICSGSC56353.2022.9963000

ICSGSC2022-SCE22-412Accepted author manuscript, 833 KB

Cite this

@inproceedings{53c912ebe5ed47d1a88b0f645a32f706,

title = "A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization",

abstract = "Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283\% and 32.158\% on weekdays and weekends, respectively.",

keywords = "microgrid, demand side managementoptimization, optimization, photovoltaics, wind turbines, demand side management",

author = "Haotian Deng and Jing Jiang and Haiya Qian and Hongjian Sun",

note = "Funding information: This work was supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 872172 TESTBED2 project .; 2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC) ; Conference date: 22-10-2022 Through 24-10-2022",

year = "2022",

month = oct,

day = "22",

doi = "10.1109/ICSGSC56353.2022.9963000",

language = "English",

isbn = "9781665487849",

series = "International Conference on Smart Grid and Smart Cities (ICSGSC)",

publisher = "IEEE",

pages = "126--131",

booktitle = "2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)",

address = "United States",

url = "http://www.csgsc.net/",

}

Deng, H, Jiang, J, Qian, H & Sun, H 2022, A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. in 2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC). International Conference on Smart Grid and Smart Cities (ICSGSC), IEEE, Piscataway, US, pp. 126-131, 2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC), Chengdu, China, 22/10/22. https://doi.org/10.1109/ICSGSC56353.2022.9963000

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. / Deng, Haotian; Jiang, Jing; Qian, Haiya et al.
2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC). Piscataway, US: IEEE, 2022. p. 126-131 (International Conference on Smart Grid and Smart Cities (ICSGSC)).

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

TY - GEN

T1 - A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

AU - Deng, Haotian

AU - Jiang, Jing

AU - Qian, Haiya

AU - Sun, Hongjian

N1 - Funding information: This work was supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 872172 TESTBED2 project .

PY - 2022/10/22

Y1 - 2022/10/22

N2 - Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.

AB - Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.

KW - microgrid

KW - demand side managementoptimization

KW - optimization

KW - photovoltaics

KW - wind turbines

KW - demand side management

UR - https://www.scopus.com/pages/publications/85144188418

U2 - 10.1109/ICSGSC56353.2022.9963000

DO - 10.1109/ICSGSC56353.2022.9963000

M3 - Conference contribution

SN - 9781665487849

T3 - International Conference on Smart Grid and Smart Cities (ICSGSC)

SP - 126

EP - 131

BT - 2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)

PB - IEEE

CY - Piscataway, US

T2 - 2022 the 6th International Conference on Smart Grid and Smart Cities (ICSGSC)

Y2 - 22 October 2022 through 24 October 2022

ER -

A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this