Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control

Alexandra Falcón-Mendoza; Sebastián Velásquez; Mayra Pacheco-Cunduri; Jorge Hernández-Ambato; Esteban Guevara-Cabezas; Victor Herrera-Perez

doi:10.1007/978-3-031-73921-7_22

Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control

Alexandra Falcón-Mendoza
, Sebastián Velásquez
, Mayra Pacheco-Cunduri
, Jorge Hernández-Ambato
, Esteban Guevara-Cabezas
, Victor Herrera-Perez^*

^*Corresponding author for this work

Montebello Academy
Universidad de Sevilla
Escuela Superior Politécnica de Chimborazo

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

Abstract

This paper presents the design of a fuzzy-based energy management strategy (EMS) which considers a sliding forward window approach to estimate the future energy generated (by a 4 kWp photovoltaic system) and consumed (by a group of lighting loads). The EMS was validated under different solar generation conditions (sunny, cloudy and rainy) and load consumption scenarios. Based on the operation of the proposed fuzzy-based EMS, a current setpoint was determined for the charge/discharge of the battery and applied as control target in the inverter of the photovoltaic (PV) installation. The experimental results showed that, applying the proposed setpoint, the autonomy of the battery can increase in around 85% from the operation with the default control.

Original language	English
Title of host publication	ELECTRIMACS 2024 - Selected Papers
Editors	Enrique Belenguer, Hector Beltran
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	275-290
Number of pages	16
ISBN (Print)	9783031739200
DOIs	https://doi.org/10.1007/978-3-031-73921-7_22
State	Published - 2025
Event	International Conference of the TC Electrimacs Committee, ELECTRIMACS 2024 - Castelló de la Plana, Spain Duration: 27 May 2024 → 30 May 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1275 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference of the TC Electrimacs Committee, ELECTRIMACS 2024
Country/Territory	Spain
City	Castelló de la Plana
Period	27/05/24 → 30/05/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1007/978-3-031-73921-7_22

Cite this

Falcón-Mendoza, A., Velásquez, S., Pacheco-Cunduri, M., Hernández-Ambato, J., Guevara-Cabezas, E., & Herrera-Perez, V. (2025). Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control. In E. Belenguer, & H. Beltran (Eds.), ELECTRIMACS 2024 - Selected Papers (pp. 275-290). (Lecture Notes in Electrical Engineering; Vol. 1275 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73921-7_22

Falcón-Mendoza, Alexandra ; Velásquez, Sebastián ; Pacheco-Cunduri, Mayra et al. / Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control. ELECTRIMACS 2024 - Selected Papers. editor / Enrique Belenguer ; Hector Beltran. Springer Science and Business Media Deutschland GmbH, 2025. pp. 275-290 (Lecture Notes in Electrical Engineering).

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title = "Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control",

abstract = "This paper presents the design of a fuzzy-based energy management strategy (EMS) which considers a sliding forward window approach to estimate the future energy generated (by a 4 kWp photovoltaic system) and consumed (by a group of lighting loads). The EMS was validated under different solar generation conditions (sunny, cloudy and rainy) and load consumption scenarios. Based on the operation of the proposed fuzzy-based EMS, a current setpoint was determined for the charge/discharge of the battery and applied as control target in the inverter of the photovoltaic (PV) installation. The experimental results showed that, applying the proposed setpoint, the autonomy of the battery can increase in around 85\% from the operation with the default control.",

author = "Alexandra Falc{\'o}n-Mendoza and Sebasti{\'a}n Vel{\'a}squez and Mayra Pacheco-Cunduri and Jorge Hern{\'a}ndez-Ambato and Esteban Guevara-Cabezas and Victor Herrera-Perez",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; International Conference of the TC Electrimacs Committee, ELECTRIMACS 2024 ; Conference date: 27-05-2024 Through 30-05-2024",

year = "2025",

doi = "10.1007/978-3-031-73921-7\_22",

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Falcón-Mendoza, A, Velásquez, S, Pacheco-Cunduri, M, Hernández-Ambato, J, Guevara-Cabezas, E & Herrera-Perez, V 2025, Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control. in E Belenguer & H Beltran (eds), ELECTRIMACS 2024 - Selected Papers. Lecture Notes in Electrical Engineering, vol. 1275 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 275-290, International Conference of the TC Electrimacs Committee, ELECTRIMACS 2024, Castelló de la Plana, Spain, 27/05/24. https://doi.org/10.1007/978-3-031-73921-7_22

Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control. / Falcón-Mendoza, Alexandra; Velásquez, Sebastián; Pacheco-Cunduri, Mayra et al.
ELECTRIMACS 2024 - Selected Papers. ed. / Enrique Belenguer; Hector Beltran. Springer Science and Business Media Deutschland GmbH, 2025. p. 275-290 (Lecture Notes in Electrical Engineering; Vol. 1275 LNEE).

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

TY - GEN

T1 - Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control

AU - Falcón-Mendoza, Alexandra

AU - Velásquez, Sebastián

AU - Pacheco-Cunduri, Mayra

AU - Hernández-Ambato, Jorge

AU - Guevara-Cabezas, Esteban

AU - Herrera-Perez, Victor

PY - 2025

Y1 - 2025

N2 - This paper presents the design of a fuzzy-based energy management strategy (EMS) which considers a sliding forward window approach to estimate the future energy generated (by a 4 kWp photovoltaic system) and consumed (by a group of lighting loads). The EMS was validated under different solar generation conditions (sunny, cloudy and rainy) and load consumption scenarios. Based on the operation of the proposed fuzzy-based EMS, a current setpoint was determined for the charge/discharge of the battery and applied as control target in the inverter of the photovoltaic (PV) installation. The experimental results showed that, applying the proposed setpoint, the autonomy of the battery can increase in around 85% from the operation with the default control.

AB - This paper presents the design of a fuzzy-based energy management strategy (EMS) which considers a sliding forward window approach to estimate the future energy generated (by a 4 kWp photovoltaic system) and consumed (by a group of lighting loads). The EMS was validated under different solar generation conditions (sunny, cloudy and rainy) and load consumption scenarios. Based on the operation of the proposed fuzzy-based EMS, a current setpoint was determined for the charge/discharge of the battery and applied as control target in the inverter of the photovoltaic (PV) installation. The experimental results showed that, applying the proposed setpoint, the autonomy of the battery can increase in around 85% from the operation with the default control.

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U2 - 10.1007/978-3-031-73921-7_22

DO - 10.1007/978-3-031-73921-7_22

M3 - Contribución a la conferencia

AN - SCOPUS:85219186307

SN - 9783031739200

T3 - Lecture Notes in Electrical Engineering

SP - 275

EP - 290

BT - ELECTRIMACS 2024 - Selected Papers

A2 - Belenguer, Enrique

A2 - Beltran, Hector

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference of the TC Electrimacs Committee, ELECTRIMACS 2024

Y2 - 27 May 2024 through 30 May 2024

ER -

Falcón-Mendoza A, Velásquez S, Pacheco-Cunduri M, Hernández-Ambato J, Guevara-Cabezas E, Herrera-Perez V. Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control. In Belenguer E, Beltran H, editors, ELECTRIMACS 2024 - Selected Papers. Springer Science and Business Media Deutschland GmbH. 2025. p. 275-290. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-031-73921-7_22

Design and Validation of an Optimized Energy Management Strategy for an Off-Grid PV System Based on an Adaptive Fuzzy Control

Abstract

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UN SDGs

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