A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems

Radhia Garraoui; Abdelali El Aroudi; Mouna Ben Hamed; Lassaad Sbita; Khalifa Al-Hosani

doi:10.1007/978-3-319-30301-7_53

A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems

Radhia Garraoui
, Abdelali El Aroudi
, Mouna Ben Hamed
, Lassaad Sbita
, Khalifa Al-Hosani

Electrical Engineering

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

2 Scopus citations

Abstract

This chapter presents a PV system composed by a photovoltaic array connected to a DC-DC boost converter with resistive load in order to extract the maximum power generated by the PV panel. This paper presents a model of photovoltaic (PV) system to investigate the P-V characteristics under varying irradiation and temperature conditions. The proposed photovoltaic model is used for evaluating the techniques of maximum power point tracking (MPPT). For this reason, a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems is investigated and well presented. The two MPPT controllers presented in this work are: The Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm is considered as an intelligent technique and it uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC presents, also a very good response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters that were considered are the voltage and the current. The duty cycle determined by the MPPT controller is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems and via the comparison it is possible to understand the advantages of every controller.

Original language	British English
Title of host publication	Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015
Editors	Ahmed El Oualkadi, Ali El Moussati, Fethi Choubani
Publisher	Springer Verlag
Pages	505-515
Number of pages	11
ISBN (Print)	9783319302997
DOIs	https://doi.org/10.1007/978-3-319-30301-7_53
State	Published - 2016
Event	Mediterranean Conference on Information and Communication Technologies, MedCT 2015 - Saidia, Morocco Duration: 7 May 2015 → 9 May 2015

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	380
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Mediterranean Conference on Information and Communication Technologies, MedCT 2015
Country/Territory	Morocco
City	Saidia
Period	7/05/15 → 9/05/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Fuzzy logic controller
MPPT
Photovoltaic systems
Sliding mode controller

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10.1007/978-3-319-30301-7_53

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Garraoui, R., El Aroudi, A., Ben Hamed, M., Sbita, L., & Al-Hosani, K. (2016). A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems. In A. E. Oualkadi, A. E. Moussati, & F. Choubani (Eds.), Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015 (pp. 505-515). (Lecture Notes in Electrical Engineering; Vol. 380). Springer Verlag. https://doi.org/10.1007/978-3-319-30301-7_53

Garraoui, Radhia ; El Aroudi, Abdelali ; Ben Hamed, Mouna et al. / A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems. Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015. editor / Ahmed El Oualkadi ; Ali El Moussati ; Fethi Choubani. Springer Verlag, 2016. pp. 505-515 (Lecture Notes in Electrical Engineering).

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abstract = "This chapter presents a PV system composed by a photovoltaic array connected to a DC-DC boost converter with resistive load in order to extract the maximum power generated by the PV panel. This paper presents a model of photovoltaic (PV) system to investigate the P-V characteristics under varying irradiation and temperature conditions. The proposed photovoltaic model is used for evaluating the techniques of maximum power point tracking (MPPT). For this reason, a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems is investigated and well presented. The two MPPT controllers presented in this work are: The Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm is considered as an intelligent technique and it uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC presents, also a very good response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters that were considered are the voltage and the current. The duty cycle determined by the MPPT controller is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems and via the comparison it is possible to understand the advantages of every controller.",

keywords = "Fuzzy logic controller, MPPT, Photovoltaic systems, Sliding mode controller",

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Garraoui, R, El Aroudi, A, Ben Hamed, M, Sbita, L & Al-Hosani, K 2016, A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems. in AE Oualkadi, AE Moussati & F Choubani (eds), Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015. Lecture Notes in Electrical Engineering, vol. 380, Springer Verlag, pp. 505-515, Mediterranean Conference on Information and Communication Technologies, MedCT 2015, Saidia, Morocco, 7/05/15. https://doi.org/10.1007/978-3-319-30301-7_53

A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems. / Garraoui, Radhia; El Aroudi, Abdelali; Ben Hamed, Mouna et al.
Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015. ed. / Ahmed El Oualkadi; Ali El Moussati; Fethi Choubani. Springer Verlag, 2016. p. 505-515 (Lecture Notes in Electrical Engineering; Vol. 380).

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

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AU - Garraoui, Radhia

AU - El Aroudi, Abdelali

AU - Ben Hamed, Mouna

AU - Sbita, Lassaad

AU - Al-Hosani, Khalifa

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - This chapter presents a PV system composed by a photovoltaic array connected to a DC-DC boost converter with resistive load in order to extract the maximum power generated by the PV panel. This paper presents a model of photovoltaic (PV) system to investigate the P-V characteristics under varying irradiation and temperature conditions. The proposed photovoltaic model is used for evaluating the techniques of maximum power point tracking (MPPT). For this reason, a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems is investigated and well presented. The two MPPT controllers presented in this work are: The Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm is considered as an intelligent technique and it uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC presents, also a very good response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters that were considered are the voltage and the current. The duty cycle determined by the MPPT controller is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems and via the comparison it is possible to understand the advantages of every controller.

AB - This chapter presents a PV system composed by a photovoltaic array connected to a DC-DC boost converter with resistive load in order to extract the maximum power generated by the PV panel. This paper presents a model of photovoltaic (PV) system to investigate the P-V characteristics under varying irradiation and temperature conditions. The proposed photovoltaic model is used for evaluating the techniques of maximum power point tracking (MPPT). For this reason, a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems is investigated and well presented. The two MPPT controllers presented in this work are: The Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm is considered as an intelligent technique and it uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC presents, also a very good response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters that were considered are the voltage and the current. The duty cycle determined by the MPPT controller is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems and via the comparison it is possible to understand the advantages of every controller.

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KW - Photovoltaic systems

KW - Sliding mode controller

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Garraoui R, El Aroudi A, Ben Hamed M, Sbita L, Al-Hosani K. A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems. In Oualkadi AE, Moussati AE, Choubani F, editors, Proceedings of Mediterranean Conference on Information and Communication Technologies, MedCT 2015. Springer Verlag. 2016. p. 505-515. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-3-319-30301-7_53

A comparative study between two MPPT controllers based on the principe of sliding-mode control theory and intelligent control technique in photovoltaic systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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