Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems

Salas, V.; Olías, E.; Barrado, A.; Lázaro, A.

doi:10.1016/j.solmat.2005.10.023

Cited by 1,031 publications

(476 citation statements)

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“…First we will describe the basic properties of the PV panel from the sensitivity to illumination and temperature point of view in order to establish the feeling about the reason why the maximum power point is migrating during the operation of the PV system. Then, we will describe the most frequently used algorithm for MPPT named Perturb and Observe (P&O), as described in [7,8,9]. A minor improvement of the way how the algorithm is expressed will be introduced leading to a Modified Perturb and Observe (MP&O) algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…2. depicts the dependence of the photovoltaic power produced by a PV panel on the voltage on it with the illumination as a parameter [7]. As it may be seen the MPP SPICE Modeling and Simulation of a MPPT Algorithm Miona Andrejević Stošović, Marko Dimitrijević, Duško Lukač, and Vančo Litovski A migrates slightly due to the change of the output resistance of the panel [10].…”

Section: Introductionmentioning

confidence: 99%

“…3. [7]. Due to these reasons every PV system is equipped with a specific circuitry which controls the duty cycle of the pulse train controlling the switches within the converter (inverter).…”

Section: Introductionmentioning

confidence: 99%

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SPICE Modeling and Simulation of a MPPT Algorithm

Stošović¹,

Dimitrijević²,

Lukac³

et al. 2014

ELS

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Abstract-One among several equally important subsystems of a standalone photovoltaic (PV) system is the circuit for maximum power point tracking (MPPT). There are several algorithms that may be used for it. In this paper we choose such an algorithm based on the maximum simplicity criteria. Then we make some small modifications to it in order to make it more robust. We synthesize a circuit built out of elements from the list of elements recognized by SPICE. The inputs are the voltage and the current at the PV panel to DC-DC converter interface. Its task is to generate a pulse width modulated pulse train whose duty ratio is defined to keep the input impedance of the DC-DC converter at the optimal value.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SPICE Modeling and Simulation of a MPPT Algorithm

Stošović¹,

Dimitrijević²,

Lukac³

et al. 2014

ELS

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show abstract

“…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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“…Not only the additional measurements increase the hardware cost, but their accuracy also affects the performance of MPPT algorithms. Thus, traditional module-integrated approaches were thought to be expensive and unreliable [14]. That is the most likely reason why one particular direct MPPT algorithm (e.g.…”

Section: Introductionmentioning

confidence: 99%