Fuzzy logic control of stand-alone photovoltaic system with battery storage

Belaid, Sofia Lalouni; Rekioua, Djamila; Rekioua, Toufik; Matagne, Ernest

doi:10.1016/j.jpowsour.2009.04.016

Cited by 192 publications

(92 citation statements)

References 21 publications

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“…The basic principle is to impose on the battery an excitation in voltage or current in order to deduce in response to this excitation, an Ohmic representation of its internal state [4]. The battery behaves as complex impedance with a resistance R batt and a reactance X batt to this disturbance.…”

Section: B Electrical Model Of Batterymentioning

confidence: 99%

“…The inputs and output variables are triangular and have seven fuzzy subsets. The control rules are indicated in reference [4] and the defuzzification uses the centre of gravity. …”

Section: Mppt Control Algorithmsmentioning

confidence: 99%

“…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%

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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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Section: B Electrical Model Of Batterymentioning

confidence: 99%

“…The inputs and output variables are triangular and have seven fuzzy subsets. The control rules are indicated in reference [4] and the defuzzification uses the centre of gravity. …”

Section: Mppt Control Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Control of Photovoltaic Water Pumping System with Battery Storage

Reddy¹

2014

IJAREEIE

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“…A schematic representation of a FLS is presented in Figure. 2. The operation of a FLS is based on the rules contained in the rule base [16][17][18].…”

Section: A Flc Control Structurementioning

confidence: 99%

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

et al. 2012

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Abstrak Kata kunci: fuel cell, kecerdasan buatan, kendali jaringan syaraf, logika fuzi, sistem aerasi tersebar Abstract Aeration of water by using PEM fuel cell power is not only a new application of the renewable energy, but also, it provides an affordable method to promote biodiversity in stagnant ponds and lakes. This paper presents a new design and control of PEM fuel cell powered by diffused air aeration system for a shrimp farm in Mersa Matruh in Egypt. Also Artificial intelligence (AI) techniques control is used to control the fuel cell output power by controlling input gases flow rate. Moreover the mathematical modeling and simulation of PEM fuel cell is introduced. A comparison study is applied between the performance of fuzzy logic control (FLC) and neural network control (NNC).The results show the effectiveness of NNC over FLC.

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“…The Hill Climbing (HC) and the Perturb and Observe (P&O) are the most known and commercially used techniques [5]- [8]. Other modified methods such as the incremental Conductance (INC) technique [9], the neural network (NN) technique [10], and fuzzy logic controller technique [10], [11] have been also reported to improve the performance of these techniques.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Controller Based Perturb and Observe Maximum Power Point Tracking

Al-Nabulsi¹,

Dhaouadi²

2012

REPQJ

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Abstract. This paper presents a fuzzy logic controller (FLC)based technique to design an adaptive perturb and observe (P&O) maximum power point tracking (MPPT) controller. The objective is to improve the efficiency of a standalone solar energy system consisting of a photovoltaic (PV) panel and a DC/DC buck converter connected to a variable load. The proposed FLC based technique is implemented on a TMS320F28335 DSP board and compared to the conventional P&O technique. The performance of the proposed system is validated through outdoor experiments with a 150-Watt PV system.

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Fuzzy logic control of stand-alone photovoltaic system with battery storage

Cited by 192 publications

References 21 publications

Control of Photovoltaic Water Pumping System with Battery Storage

Control of Photovoltaic Water Pumping System with Battery Storage

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

Fuzzy Logic Controller Based Perturb and Observe Maximum Power Point Tracking

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