Dynamic analysis of the input-controlled buck converter fed by a photovoltaic array

Villalva, Marcelo Gradella; Filho, Ernesto Ruppert

doi:10.1590/s0103-17592008000400009

Cited by 30 publications

(15 citation statements)

References 13 publications

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“…Characteristics of the Boulder 15 W operating under test conditions are summarized in Table 4. The voltage controller is designed by referring to the small signal model of the input terminal of the photovoltaic system [30][31][32][33][34][35][36]. The equivalent circuit of the input terminal is shown in Figure 18.…”

Section: Dc-dc Boost Convertermentioning

confidence: 99%

An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications

Chen

Kim

2017

Applied Sciences

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This paper presents an improved maximum power point tracking (MPPT) algorithm using a fuzzy logic controller (FLC) in order to extract potential maximum power from photovoltaic cells. The objectives of the proposed algorithm are to improve the tracking speed, and to simultaneously solve the inherent drawbacks such as slow tracking in the conventional perturb and observe (P and O) algorithm. The performances of the conventional P and O algorithm and the proposed algorithm are compared by using MATLAB/Simulink in terms of the tracking speed and steady-state oscillations. Additionally, both algorithms were experimentally validated through a digital signal processor (DSP)-based controlled-boost DC-DC converter. The experimental results show that the proposed algorithm performs with a shorter tracking time, smaller output power oscillation, and higher efficiency, compared with the conventional P and O algorithm.

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Section: Dc-dc Boost Convertermentioning

confidence: 99%

An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications

Chen

Kim

2017

Applied Sciences

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“…The circuit models shown in Figure 5 are applicable for a single PV cell as well as for an array of PV device panels comprised of PV cells connected in series and/or in parallel [94]. The expressions for the Thevenin equivalent circuit voltage V TH and resistance R TH ,a r e given both for the linear equivalent current source and voltage source circuits.…”

Section: Electrical Design Of the Solar Towermentioning

confidence: 99%

Scalable, Self‐Contained Sodium Metal Production Plant for a Hydrogen Fuel Clean Energy Cycle

Stern¹

2017

Recent Improvements of Power Plants Management and Technology

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In this chapter, we present a detailed design study of a novel, scalable, self-contained solar powered electrolytic sodium (Na) metal production plant meant to enable a hydrogen (H 2 ) fuel, sustainable, closed clean energy cycle. The hydrogen fuel is generated on demand inside a motor vehicle using an efficient hydrogen generation apparatus that safely implements a controlled chemical reaction between either ordinary salinated (sea) or desalinated (fresh) water and sodium metal. The sodium hydroxide (NaOH) byproduct of the hydrogen generating chemical reaction is stored temporarily within the hydrogen generation apparatus and is recovered during motor vehicle refueling to be reprocessed in the self-contained sodium (Na) metal production plant. The electric power for NaOH electrolysis is produced using photovoltaic (PV) device panels spatially arrayed and electrically interconnected on a tower structure that maximizes the use of scarce land area. Our analysis shows that the scalable, self-contained sodium (Na) metal production plant using solar power is technically and economically viable for meeting the hydrogen fuel clean energy needs of all the motor vehicles in the U.S.A. by constructing approximately 450,000 scalable, self-contained sodium (Na) metal production plant units in the southwestern desert region that includes West Texas, New Mexico, Arizona and Southern California.

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“…(14)- (20) firstly, V gm is obtained from (Fig. 2) to give maximum power for different values of G(insolation level).…”

Section: Mppt Conditionmentioning

confidence: 99%

“…To overcome these problems, many tracking control strategies have been proposed such as perturb and observe [1,2], incremental conductance [3], parasitic capacitance [4], constant voltage [5], reactive power control [6], neural network [7][8][9][10][11][12] and fuzzy logic controller (FLC) [13][14][15][16][17][18][19]. Some applications need constant output voltage with suitable MPPT or constant output current [20,21]. These strategies have some disadvantages such as high cost, difficulty, complexity and instability.…”

Section: Introductionmentioning

confidence: 99%

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MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

Kassem

2012

International Journal of Electrical Power & Energy Systems

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Dynamic analysis of the input-controlled buck converter fed by a photovoltaic array

Cited by 30 publications

References 13 publications

An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications

An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications

Scalable, Self‐Contained Sodium Metal Production Plant for a Hydrogen Fuel Clean Energy Cycle

MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

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