Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems

Hasan Hammoodi Shakir; Fatma Ben Salem

doi:10.1109/SSD61670.2024.10548799

Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems

Hasan Hammoodi Shakir
, Fatma Ben Salem

Electrical Engineering

University of Sfax

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

1 Scopus citations

Abstract

This paper proposes an energy storage and load-feeding strategy based on examining household vital appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this study, fuzzy logic control is applied as an optimization strategy. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach.

Original language	English
Title of host publication	2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	419-424
Number of pages	6
ISBN (Electronic)	9798350374131
DOIs	https://doi.org/10.1109/SSD61670.2024.10548799
State	Published - 2024
Event	21st International Multi-Conference on Systems, Signals and Devices, SSD 2024 - Erbil, Iraq Duration: 22 Apr 2024 → 25 Apr 2024

Publication series

Name	2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

Conference

Conference	21st International Multi-Conference on Systems, Signals and Devices, SSD 2024
Country/Territory	Iraq
City	Erbil
Period	22/04/24 → 25/04/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Electricity Consumption (Ei)
formatting
fuzzy logic control(FLC)
Photovaltic Power Produced(Ppv)
photovoltaic (PV)
Renewable Energy Source (RES)
State of Charge battery (SOC)

Access to Document

10.1109/SSD61670.2024.10548799

Cite this

Shakir, H. H., & Ben Salem, F. (2024). Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems. In 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024 (pp. 419-424). (2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD61670.2024.10548799

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title = "Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems",

abstract = "This paper proposes an energy storage and load-feeding strategy based on examining household vital appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this study, fuzzy logic control is applied as an optimization strategy. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach.",

keywords = "Electricity Consumption (Ei), formatting, fuzzy logic control(FLC), Photovaltic Power Produced(Ppv), photovoltaic (PV), Renewable Energy Source (RES), State of Charge battery (SOC)",

author = "Shakir, \{Hasan Hammoodi\} and \{Ben Salem\}, Fatma",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024 ; Conference date: 22-04-2024 Through 25-04-2024",

year = "2024",

doi = "10.1109/SSD61670.2024.10548799",

language = "English",

series = "2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024",

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

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address = "United States",

}

Shakir, HH & Ben Salem, F 2024, Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems. in 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024. 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024, Institute of Electrical and Electronics Engineers Inc., pp. 419-424, 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024, Erbil, Iraq, 22/04/24. https://doi.org/10.1109/SSD61670.2024.10548799

Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems. / Shakir, Hasan Hammoodi; Ben Salem, Fatma.
2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 419-424 (2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024).

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

TY - GEN

T1 - Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems

AU - Shakir, Hasan Hammoodi

AU - Ben Salem, Fatma

PY - 2024

Y1 - 2024

N2 - This paper proposes an energy storage and load-feeding strategy based on examining household vital appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this study, fuzzy logic control is applied as an optimization strategy. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach.

AB - This paper proposes an energy storage and load-feeding strategy based on examining household vital appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this study, fuzzy logic control is applied as an optimization strategy. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach. This study presents an energy storage and load-feeding strategy based on evaluating household essential appliances, power generated by solar panels, electricity stored in bank batteries, and power consumed at three-time intervals during the day. In this research, fuzzy logic control is used as an optimization approach.

KW - Electricity Consumption (Ei)

KW - formatting

KW - fuzzy logic control(FLC)

KW - Photovaltic Power Produced(Ppv)

KW - photovoltaic (PV)

KW - Renewable Energy Source (RES)

KW - State of Charge battery (SOC)

UR - https://www.scopus.com/pages/publications/85196752386

U2 - 10.1109/SSD61670.2024.10548799

DO - 10.1109/SSD61670.2024.10548799

M3 - Conference contribution

AN - SCOPUS:85196752386

T3 - 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

SP - 419

EP - 424

BT - 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

Y2 - 22 April 2024 through 25 April 2024

ER -

Shakir HH, Ben Salem F. Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems. In 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 419-424. (2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024). doi: 10.1109/SSD61670.2024.10548799

Efficient Fuzzy Logic Energy Management in Stand-Alone Solar Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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