A particle swarm optimization based energy management strategy for hybrid generation system

Yu Shan Cheng; Yi Hua Liu; Shun Chung Wang; Bo Rei Peng

doi:10.1109/ACIT-CSII-BCD.2017.75

A particle swarm optimization based energy management strategy for hybrid generation system

Yu Shan Cheng, Yi Hua Liu, Shun Chung Wang, Bo Rei Peng

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

4 Scopus citations

Abstract

In this study, a particle swarm optimization (PSO) based energy management strategy (EMS) for hybrid generation system (HGS) is proposed. The discussed HGS consists of PV arrays, wind turbine, battery bank and utility grids. Detailed descriptions of the system configuration and energy management algorithm will be presented first, and experiments will then be carried out to validate the correctness of the proposed technique. Experimental results validate the effectiveness and correctness of the proposed method.

Original language	English
Title of host publication	Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	104-108
Number of pages	5
ISBN (Electronic)	9781538633021
DOIs	https://doi.org/10.1109/ACIT-CSII-BCD.2017.75
State	Published - 07 2017
Externally published	Yes
Event	5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017 - Hamamatsu, Japan Duration: 09 07 2017 → 13 07 2017

Publication series

Name	Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017

Conference

Conference	5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017
Country/Territory	Japan
City	Hamamatsu
Period	09/07/17 → 13/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Energy management strategy
Hybrid generation system
Particle swarm optimization

Access to Document

10.1109/ACIT-CSII-BCD.2017.75

Cite this

Cheng, Y. S., Liu, Y. H., Wang, S. C., & Peng, B. R. (2017). A particle swarm optimization based energy management strategy for hybrid generation system. In Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017 (pp. 104-108). Article 8787206 (Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACIT-CSII-BCD.2017.75

Cheng, Yu Shan ; Liu, Yi Hua ; Wang, Shun Chung et al. / A particle swarm optimization based energy management strategy for hybrid generation system. Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 104-108 (Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017).

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title = "A particle swarm optimization based energy management strategy for hybrid generation system",

abstract = "In this study, a particle swarm optimization (PSO) based energy management strategy (EMS) for hybrid generation system (HGS) is proposed. The discussed HGS consists of PV arrays, wind turbine, battery bank and utility grids. Detailed descriptions of the system configuration and energy management algorithm will be presented first, and experiments will then be carried out to validate the correctness of the proposed technique. Experimental results validate the effectiveness and correctness of the proposed method.",

keywords = "Energy management strategy, Hybrid generation system, Particle swarm optimization",

author = "Cheng, {Yu Shan} and Liu, {Yi Hua} and Wang, {Shun Chung} and Peng, {Bo Rei}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017 ; Conference date: 09-07-2017 Through 13-07-2017",

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doi = "10.1109/ACIT-CSII-BCD.2017.75",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "104--108",

booktitle = "Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017",

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Cheng, YS, Liu, YH, Wang, SC & Peng, BR 2017, A particle swarm optimization based energy management strategy for hybrid generation system. in Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017., 8787206, Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017, Institute of Electrical and Electronics Engineers Inc., pp. 104-108, 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017, Hamamatsu, Japan, 09/07/17. https://doi.org/10.1109/ACIT-CSII-BCD.2017.75

A particle swarm optimization based energy management strategy for hybrid generation system. / Cheng, Yu Shan; Liu, Yi Hua; Wang, Shun Chung et al.
Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 104-108 8787206 (Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017).

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

TY - GEN

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AU - Cheng, Yu Shan

AU - Liu, Yi Hua

AU - Wang, Shun Chung

AU - Peng, Bo Rei

PY - 2017/7

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N2 - In this study, a particle swarm optimization (PSO) based energy management strategy (EMS) for hybrid generation system (HGS) is proposed. The discussed HGS consists of PV arrays, wind turbine, battery bank and utility grids. Detailed descriptions of the system configuration and energy management algorithm will be presented first, and experiments will then be carried out to validate the correctness of the proposed technique. Experimental results validate the effectiveness and correctness of the proposed method.

AB - In this study, a particle swarm optimization (PSO) based energy management strategy (EMS) for hybrid generation system (HGS) is proposed. The discussed HGS consists of PV arrays, wind turbine, battery bank and utility grids. Detailed descriptions of the system configuration and energy management algorithm will be presented first, and experiments will then be carried out to validate the correctness of the proposed technique. Experimental results validate the effectiveness and correctness of the proposed method.

KW - Energy management strategy

KW - Hybrid generation system

KW - Particle swarm optimization

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 9 July 2017 through 13 July 2017

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Cheng YS, Liu YH, Wang SC, Peng BR. A particle swarm optimization based energy management strategy for hybrid generation system. In Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 104-108. 8787206. (Proceedings - 2017 5th International Conference on Applied Computing and Information Technology, 2017 4th International Conference on Computational Science/Intelligence and Applied Informatics and 2017 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2017). doi: 10.1109/ACIT-CSII-BCD.2017.75

A particle swarm optimization based energy management strategy for hybrid generation system

Abstract

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Bibliographical note

Keywords

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