Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization

C.P.L. Buensuceso; J.G.C. Manlapaz; D.M. Reyes; R.A.S. Pena; R.C. Parocha; E.Q.B. Macabebe

doi:10.1109/PECon54459.2022.9988838

Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization

C.P.L. Buensuceso, J.G.C. Manlapaz, D.M. Reyes, R.A.S. Pena, R.C. Parocha, E.Q.B. Macabebe

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

3 Citations (Scopus)

Abstract

The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid -connected microgrid as the case study.

Original language	English
Title of host publication	2022 IEEE International Conference on Power and Energy
Subtitle of host publication	Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022
Publisher	IEEE
Pages	105-110
Number of pages	6
ISBN (Electronic)	9781665409902
DOIs	https://doi.org/10.1109/PECon54459.2022.9988838
Publication status	Published - 2022
Event	2022 IEEE International Conference on Power and Energy (PECon) - Langkawi, Kedah, Malaysia Duration: 5 Dec 2022 → 6 Dec 2022

Publication series

Name	2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022

Conference

Conference	2022 IEEE International Conference on Power and Energy (PECon)
Country/Territory	Malaysia
City	Langkawi, Kedah
Period	5/12/22 → 6/12/22

Bibliographical note

Funding Information:
The authors would like to thank the School of Science and Engineering (SOSE) Sanggunian Academic Subsidy (SAS) for the financial support.

Publisher Copyright:
© 2022 IEEE.

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Buensuceso, C. P. L., Manlapaz, J. G. C., Reyes, D. M., Pena, R. A. S., Parocha, R. C., & Macabebe, E. Q. B. (2022). Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization. In 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022 (pp. 105-110). (2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022). IEEE. https://doi.org/10.1109/PECon54459.2022.9988838

Buensuceso, C.P.L. ; Manlapaz, J.G.C. ; Reyes, D.M. et al. / Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization. 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. IEEE, 2022. pp. 105-110 (2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022).

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abstract = "The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid -connected microgrid as the case study. ",

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note = "Funding Information: The authors would like to thank the School of Science and Engineering (SOSE) Sanggunian Academic Subsidy (SAS) for the financial support. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Power and Energy (PECon) ; Conference date: 05-12-2022 Through 06-12-2022",

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series = "2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022",

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Buensuceso, CPL, Manlapaz, JGC, Reyes, DM, Pena, RAS, Parocha, RC & Macabebe, EQB 2022, Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization. in 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022, IEEE, pp. 105-110, 2022 IEEE International Conference on Power and Energy (PECon), Langkawi, Kedah, Malaysia, 5/12/22. https://doi.org/10.1109/PECon54459.2022.9988838

Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization. / Buensuceso, C.P.L.; Manlapaz, J.G.C.; Reyes, D.M. et al.
2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. IEEE, 2022. p. 105-110 (2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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AB - The main purpose of an Energy Management System (EMS) is to determine the hourly energy dispatch of the microgrid and the main utility grid. An optimization algorithm is needed in order to minimize the cost of operating the distributed generations in a microgrid. This paper is focused on developing an EMS model that can determine the hourly optimal operating strategies of each distributed generation in the microgrid system with regard to energy cost minimization, system constraints, and better utilization of renewable energy resources through daily load demand. The proposed system utilized Particle Swarm Optimization. Its effectiveness was demonstrated using a full-day load demand profile of a grid -connected microgrid as the case study.

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Buensuceso CPL, Manlapaz JGC, Reyes DM, Pena RAS, Parocha RC, Macabebe EQB. Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization. In 2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022. IEEE. 2022. p. 105-110. (2022 IEEE International Conference on Power and Energy: Advancement in Power and Energy Systems towards Sustainable and Resilient Energy Supply, PECon 2022). doi: 10.1109/PECon54459.2022.9988838

Energy Management for Grid- Tied PV Systems Using Particle Swarm Optimization

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