An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

Recently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of a fuzzy logic based algorithm for varying the step size of the incremental conductance (INC) maximum power point track...

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Main Authors: Mahmoud N. Ali, Karar Mahmoud, Matti Lehtonen, Mohamed M. F. Darwish
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9350255/
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spelling doaj-58935fe306e74d9787d3f36c577bf9072021-06-09T23:00:12ZengIEEEIEEE Access2169-35362021-01-019264202643010.1109/ACCESS.2021.30580529350255An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV SystemsMahmoud N. Ali0https://orcid.org/0000-0001-9860-6550Karar Mahmoud1Matti Lehtonen2https://orcid.org/0000-0002-9979-7333Mohamed M. F. Darwish3https://orcid.org/0000-0001-9782-8813Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, EgyptDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Espoo, FinlandDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Espoo, FinlandDepartment of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, EgyptRecently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of a fuzzy logic based algorithm for varying the step size of the incremental conductance (INC) maximum power point tracking (MPPT) method for PV. In the proposed method, a variable voltage step size is estimated according to the degree of ascent or descent of the power-voltage relation. For this purpose, a novel unique treatment is proposed based on introducing five effective regions around the point of maximum PV power. To vary the step size of the duty cycle, a fuzzy logic system is developed according to the locations of the fuzzy inputs regarding the five regions. The developed fuzzy inputs are inspired from the slope of the power-voltage relation, namely the current-voltage ratio and its derivatives whereas appropriate membership functions and fuzzy rules are designed. The benefit of the proposed method is that the MPPT efficiency is improved for varying the step size of the incremental conductance method, thanks to the effective coordination between the proposed fuzzy logic based algorithm and the INC method. The output DC power of the PV array and the tracking speed are presented as indices for illustrating the improvement achieved in MPPT. The proposed method is verified and tested through the simulation of a grid-connected PV system model. The simulation results reveal a valuable improvement in static and dynamic responses over that of the traditional INC method with the variation of the environmental conditions. Further, it enhances the output dc power and reduce the convergence time to reach the steady state condition with intermittent environmental conditions.https://ieeexplore.ieee.org/document/9350255/Maximum power point trackingfuzzy logicincremental conductancePV systemdynamic responses
collection DOAJ
language English
format Article
sources DOAJ
author Mahmoud N. Ali
Karar Mahmoud
Matti Lehtonen
Mohamed M. F. Darwish
spellingShingle Mahmoud N. Ali
Karar Mahmoud
Matti Lehtonen
Mohamed M. F. Darwish
An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
IEEE Access
Maximum power point tracking
fuzzy logic
incremental conductance
PV system
dynamic responses
author_facet Mahmoud N. Ali
Karar Mahmoud
Matti Lehtonen
Mohamed M. F. Darwish
author_sort Mahmoud N. Ali
title An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
title_short An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
title_full An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
title_fullStr An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
title_full_unstemmed An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems
title_sort efficient fuzzy-logic based variable-step incremental conductance mppt method for grid-connected pv systems
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Recently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, this paper proposes a novel design of a fuzzy logic based algorithm for varying the step size of the incremental conductance (INC) maximum power point tracking (MPPT) method for PV. In the proposed method, a variable voltage step size is estimated according to the degree of ascent or descent of the power-voltage relation. For this purpose, a novel unique treatment is proposed based on introducing five effective regions around the point of maximum PV power. To vary the step size of the duty cycle, a fuzzy logic system is developed according to the locations of the fuzzy inputs regarding the five regions. The developed fuzzy inputs are inspired from the slope of the power-voltage relation, namely the current-voltage ratio and its derivatives whereas appropriate membership functions and fuzzy rules are designed. The benefit of the proposed method is that the MPPT efficiency is improved for varying the step size of the incremental conductance method, thanks to the effective coordination between the proposed fuzzy logic based algorithm and the INC method. The output DC power of the PV array and the tracking speed are presented as indices for illustrating the improvement achieved in MPPT. The proposed method is verified and tested through the simulation of a grid-connected PV system model. The simulation results reveal a valuable improvement in static and dynamic responses over that of the traditional INC method with the variation of the environmental conditions. Further, it enhances the output dc power and reduce the convergence time to reach the steady state condition with intermittent environmental conditions.
topic Maximum power point tracking
fuzzy logic
incremental conductance
PV system
dynamic responses
url https://ieeexplore.ieee.org/document/9350255/
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