Design and implementation of a PI-MPPT based Buck-Boost converter

Kabalcı, Ersan; Gökkuş, Göksel; Gorgun, Alper

doi:10.1109/ecai.2015.7301194

Cited by 26 publications

(7 citation statements)

References 9 publications

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“…The magnetizing current imm1 is described in (2), the energy stored in a flyback transformer winding is released to a secondary side of transformer. The DC-link voltage is described by (3).…”

Section: Table 1 Csi Switching Statesmentioning

confidence: 99%

“…Among the multiple MPPT methods, the P&O algorithm is the most commonly used due to its simple design and it is not difficult to achieve. However, the traditional P&O technique is slow in operation also it is suffering from steady-state fluctuation [3], [20], [21]. The PV panel of the micro-inverter must still in tracking this working point whenever it varies according to the change of sunlight, and also when shading in partial, to reach this effect.…”

Section: The Mpp Tracking Control Of the Pv Panelmentioning

confidence: 99%

“…Resources of electrical energy can primarily be divided into three sets: nuclear-powered, fossil, and renewable energy resource. One of the most widelyresearched sources of renewable energy among others [3].…”

Section: Introductionmentioning

confidence: 99%

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Reactive power control of grid-connected photovoltaic micro-inverter based on third-harmonic injection

Noori

Hassan

2021

IJPEDS

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<span lang="EN-US">This paper presents four interleaved flyback DC-DC converters. Each flyback converter contains a separate maximum power point tracker (MPPT). The MPP tracker is used to collect the maximum power value from photovoltaic panel by using (P&O) algorithm with an output of reference current. In latest years, the active third-harmonic injection circuit have received much interest, this technique contributed to getting a better quality of injection current into the utility grid and control the reactive power. For converting direct current to three-phase sinusoidal currents, a line-commutated current source inverter type (CSI) with filter is used. The developed micro-inverter of (1000 W) offers an expanded range of reactive power control with balanced three-phase output power and good efficiency 95.07%. The effectiveness of the suggested system is clarified through the MATLAB program simulation. The system proposed in this paper has proven its effectiveness in obtaining reactive power control, nearly sinusoidal three-phase output currents and it is compared with the traditional PV micro-inverter system. The comparison shows that the PV micro-inverter is best in more specification than the traditional PV system such as efficiency and total harmonic distortion (THD) and the system losses.</span>

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Section: Table 1 Csi Switching Statesmentioning

confidence: 99%

Section: The Mpp Tracking Control Of the Pv Panelmentioning

confidence: 99%

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Reactive power control of grid-connected photovoltaic micro-inverter based on third-harmonic injection

Noori

Hassan

2021

IJPEDS

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“…Power oscillations can be extreme since the conventional algorithms continue to search for the operating point on the P-V curve at steady-state condition (SSC), although the MPP is tracked earlier [13]. A PI-based P&O algorithm was developed to maintain the output reference voltage of the converter and tracking the MPP of the PV array with reduced power oscillations [14]. A P&O-based voltage regulation loop is designed with a PID controller to increase the tracking speed of the MPP and regulate the output reference voltage faster than the conventional P&O algorithm [15].…”

Section: Introductionmentioning

confidence: 99%

Improved Proportional-Integral Coordinated MPPT Controller with Fast Tracking Speed for Grid-Tied PV Systems under Partially Shaded Conditions

et al. 2021

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When a photovoltaic (PV) system is exposed to physical objects and cloud coverage and connected to bypass diodes, a partial shading condition (PSC) occurs, which causes a global maximum power point (GMPP) and numerous local maximum power points (LMPPs) on the power-voltage (P-V) curve. Unlike conventional MPPT techniques that search for multiple LMPPs on the P-V curve, it is possible to track GMPP straightaway by designing a simple but robust MPPT technique that results in faster tracking speed and low power oscillations. Hence, in this study, an improved proportional-integral (PI) coordinated Maximum Power Point Tracking (MPPT) algorithm is designed to enhance the conversion efficiency of a PV system under PSC with fast-tracking speed and reduced power oscillations. Here, PI controllers are used to mitigating the steady-state errors of output voltage and current of PV system that later on passed through an incremental conductance (INC) algorithm to regulate the duty cycle of a dc–dc boost converter in order to ensure fast MPPT process. The PV system is integrated with the grid through an H-bridge inverter, which is controlled by a synchronous reference frame (SRF) controller. Tracking speed and steady-state oscillations of the proposed MPPT are evaluated in the MATLAB/Simulink environment and validated via a laboratory experimental setup using Agilent solar simulator and dSPACE (DS1104) controller. Results show that the proposed MPPT technique reduces the power fluctuations of PV array significantly and the tracking speed of the proposed method is 13% and 11% faster than the conventional INC and perturb and observe (P&O) methods respectively under PSCs.

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“…In line with this purpose, applications that perform maximum power point tracking (MPPT) increase efficiency by providing maximum power from PV panels continuously [7,8]. When these applications are examined, it is seen that PI or PID controllers are used for reasons, such as being easier to understand and applicable [9][10][11]. However, when the relevant literature is examined, it is seen that the parameters of these controllers, which have a simple structure, are determined by trial and error.…”

Section: Introductionmentioning

confidence: 99%

Fotovoltaik Bir Sistemde, Maksimum Güç Noktası Takibi için Bulanık Mantık Tabanlı Bir Denetleme Algoritmasının Geliştirilmesi

MORKOÇ

Yüzgeç

2021

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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In this study, a fuzzy logic based maximum power point tracking control algorithm was developed to obtain maximum power continuously from a simulation model of a PV system. Using this simulation model, codes suitable for the TMS320F28335 Digital Signal Processor (DSP) were generated by the embedded code generation method. In this way, the developed algorithm was generated, compiled, sent, and made ready for use in applications with an optimum code structure. The algorithm developed has the task of providing the power demanded by the load unit in a stable and continuous manner; It fulfills this task by providing maximum efficiency from PV panels by Tracking the Maximum Power Point and increasing the power obtained. In addition, the current and voltage of the DC bus as well as the PV panel unit are continuously monitored and used as input data for the algorithm's fuzzy logic controller.

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Design and implementation of a PI-MPPT based Buck-Boost converter

Cited by 26 publications

References 9 publications

Reactive power control of grid-connected photovoltaic micro-inverter based on third-harmonic injection

Reactive power control of grid-connected photovoltaic micro-inverter based on third-harmonic injection

Improved Proportional-Integral Coordinated MPPT Controller with Fast Tracking Speed for Grid-Tied PV Systems under Partially Shaded Conditions

Fotovoltaik Bir Sistemde, Maksimum Güç Noktası Takibi için Bulanık Mantık Tabanlı Bir Denetleme Algoritmasının Geliştirilmesi

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