Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Patcharaprakiti, Nopporn; Premrudeepreechacharn, S.

doi:10.1109/pesw.2002.985022

Cited by 140 publications

(111 citation statements)

References 12 publications

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“…Therefore Maximum power point tracking algorithm is essential to track global MPP from each panel. Due to the variation of the maximum power point (MPP) of photovoltaic (PV) generators with solar radiation and temperature, boost dc-dc converters placed between PV modules and inverters in grid-connected PV systems have to be controlled in a variable operating-point condition [3], [5]. I is the photovoltaic cell current, V is the PV cell voltage, T is the temperature (in Kelvin), n is the diode ideality factor.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Fuzzy Logic Controller Based Voltage Equivalizer for Pv Power Generation Under Partial Shading

2017

IJAERD

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Section: Introductionmentioning

confidence: 99%

Implementation of Fuzzy Logic Controller Based Voltage Equivalizer for Pv Power Generation Under Partial Shading

2017

IJAERD

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“…On the other hand, the FLC has been proposed to enhance the performance of the conventional INC-MPPT [6]- [14]. According to [6] and [7], in most of the existing fuzzy-based INC-MPPT techniques, the ratio-value (I P /V P + ΔI P /ΔV P ) and its change are used to search the MPP.…”

Section: Introductionmentioning

confidence: 99%

“…According to [6] and [7], in most of the existing fuzzy-based INC-MPPT techniques, the ratio-value (I P /V P + ΔI P /ΔV P ) and its change are used to search the MPP. However, in those methods, the operating point of PV panel may move away far from the MPP when the solar radiation varies abruptly, because the change of the step-size is disregarded.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Incremental Conductance-Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems

Thao

Uchida

Nguyen-Quang

2014

SICE Journal of Control, Measurement, and System Integration

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: This paper presents an improved Incremental Conductance -Maximum Power Point Tracking (INC-MPPT) algorithm based on fuzzy logic for photovoltaic (PV) systems. The demonstrative PV system consists of the solar array with a nominal power of 320W, a non-inverting buck-boost converter, and a resistive load. The PV system's objective is to seek efficiently the maximum power point (MPP) of the solar array in varying weather conditions. To do this, the proposed fuzzy-based INC-MPPT algorithm is designed with two sub-controllers. Wherein, in the first one, a novel fuzzy logic controller (FLC) is proposed to enhance the effectiveness of the conventional INC-MPPT. Its aim is determining rapidly and accurately the optimal voltage, where the solar array operates at the MPP. The other is a PI anti-windup controller, and it regulates the operating PV array's voltage to the optimal voltage computed in advance. Simulations show that the suggested algorithm fulfills well the listed goal even when the solar irradiance and temperature change suddenly. Furthermore, comparisons of simulation results, obtained from the presented algorithm, the conventional INC, and an existing fuzzy-based INC-MPPT, illustrate advantages of the proposed algorithm in terms of fast response speed, high accuracy, and small oscillation. The feasibility and efficacy of the suggested algorithm are also verified by experiments.

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“…To maximize the efficiency of the photovoltaic energy system, it is necessary to track the maximum power point of the PV array. Many tracking control strategies have been proposed such as: Perturb and Observ (P&O), incremental conductance, curve-fitting method and open-circuit voltage PV generator method [2][3][4][5][6]. In many references the effectiveness of a fuzzy logic controller is shown [2][3][4][5] compared to the (P&O) method.…”

Section: Introductionmentioning

confidence: 99%

Control of Photovoltaic Water Pumping System with Battery Storage

Reddy¹

2014

IJAREEIE

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Due to the continuous decrease of the solar cells cost, photovoltaic energy is used in diverse applications. The most important one is the batteries-coupled water pumping system powered by photovoltaic generators. The use of batteries allows the system to deliver a constant water flow during the low light periods and night. With the increased use of this application, more attention has been paid to their optimum utilization. Fuzzy logic controllers provide attractive features such as fast response, accuracy and good performance compared to the classical controllers. Next, a vector control of induction motor fed by a photovoltaic system is studied to improve its dynamic performance. The photovoltaic pumping system is composed of a PV generator, DC-DC converter, batteries, DC-AC converter, a vector controlled induction motor and centrifugal pump. The surplus energy produced by PV panels during light hours charges the batteries and the batteries in turn supply power to the pump during backup energy. A simulation study is presented under variable weather conditions and the results show the effectiveness of the studied method.

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Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Cited by 140 publications

References 12 publications

Implementation of Fuzzy Logic Controller Based Voltage Equivalizer for Pv Power Generation Under Partial Shading

Implementation of Fuzzy Logic Controller Based Voltage Equivalizer for Pv Power Generation Under Partial Shading

An Improved Incremental Conductance-Maximum Power Point Tracking Algorithm Based on Fuzzy Logic for Photovoltaic Systems

Control of Photovoltaic Water Pumping System with Battery Storage

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