Modeling of Maximum Power Point Tracking Controller for Solar Power System

Soetedjo, Aryuanto; Lomi, Abraham; Nakhoda, Yusuf Ismail; Krismanto, Awan Uji

doi:10.12928/telkomnika.v10i3.819

Cited by 8 publications

(12 citation statements)

References 4 publications

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“…The PV cell is a semiconductor device that directly converts solar irradiation into electrical energy is effect is called 'Photovoltaic Effect' [11]. The PV panel acts as input DC source for the inverter.…”

Section: Photovoltaic System Designmentioning

confidence: 99%

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

Venkatesan¹,

Rajeshwari²,

Deverajan³

et al. 2016

IJPEDS

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A comparative study of three phase grid connected photovoltaic (PV) inverter using Proportional-Integral (PI) controller and Fuzzy logic controller (FLC) is presented in this paper. Proposed three phase inverter with single DC source employing three phase transformer for grid connected PV system controlled by using space vector pulse width modulation (SVPWM) technique. PI and FLC are used as current controller for regulating the current. Perturb and observe maximum power point technique (MPPT) is used for tracking of maximum power from the PV panel. Finally total harmonic distortion (THD) comparison made between two controllers for validation of results. Furthermore swithing losses of inverter are also presented. The simulation results are obtained using MATLAB simulink. Keyword:Fuzzy INTRODUCTIONIn the modern scientific world ruled by science, the utilizing of electricity has increased rapidly due to growing of population of the world. Nowadays, most of the research works have focused on PV based power generation due to major reasons such as price of fossil fuel, green house effect and energy available in nature [1]. Actually, solar panel is directly converting solar irradiation in to electrical energy [2]. It is necessary to convert available DC voltage into AC voltage and the converted AC voltage should be sinusoidal with high quality output voltage. For this purpose, multilevel inverter (MLI) is the most suitable choice for converting DC into AC compared to the conventional two level inverters with minimum THD values. MLI's broadly categorised into three main types namely, diode clamped, flying capacitor and cascade [3]- [4]. Three phase MLI inverter using cascaded H-Bridge with independent DC source is presented in the literature review [5]. The above topology, each H bridge require separate DC sources with equal rating and separate DC sources make it system bulky and costlier [6]. Cascade H bridge inverter employing single phase and three phase transformers with single DC input is also presented [7]. This configuration use single DC input and require additional single and three phase transformers for higher voltage level. In accordance with the observation from the references [5]- [7], inverter topology requires more DC input, transformers and switches which result in increased complexity, system size and cost. For maintain grid current as pure sinusodial Proportional-Integral (PI) controller and FLC controllers are used as feedback controller. The PI is maynot satisfactory in controlling various non linear control applications. Moreover the design of its control system is

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Section: Photovoltaic System Designmentioning

confidence: 99%

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

Venkatesan¹,

Rajeshwari²,

Deverajan³

et al. 2016

IJPEDS

View full text Add to dashboard Cite

show abstract

“…The P&O method works by perturbing the PV voltage and observing the PV power to achieve the maximum power point [2]. However, the basic algorithm has problems with the response time, oscillation at the maximum power point, and drift under irradiation changes.…”

Section: Introductionmentioning

confidence: 99%

“…A solar tracking system could be divided into single-axis and dual-axis systems based on their direction of movement [17]. A single-axis solar tracking system tracks the elevation of the sun [18][19][20][21][22], while a dual-axis system tracks both the elevation and azimuth of the sun [23][24][25][26][27][28][29][30][31][32]. There are two types of solar tracking systems based on the control strategy: closed-loop and open-loop control [23].…”

Section: Introductionmentioning

confidence: 99%

“…There are two types of solar tracking systems based on the control strategy: closed-loop and open-loop control [23]. Closed-loop solar tracking systems use sensors (photodiodes) to detect the sun's position [20,24,25,27], while open-loop solar tracking systems do not use sensors; instead, they use an astronomical algorithm to estimate the sun's position [18,22,26,[28][29][30][31]. The accuracy of the closed-loop solar tracking system is high, but it requires complex sensor hardware and fails to track the sun under the cloudy condition.…”

Section: Introductionmentioning

confidence: 99%

“…Since the sun is only available for a limited time (morning until afternoon) and PV installation in the rural area or on a rooftop is expensive, it has become common to use a simulation model for research purposes. Simulation models for testing and validating the MPPT techniques were developed in [2][3][4][6][7][8][9][10][11][12][13][14][15][16]. The works in [5] employed a hardware emulator for testing the MPPT controller.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Implementing Discrete Model of Photovoltaic System on the Embedded Platform for Real-Time Simulation

Soetedjo

Sulistiawati

2020

Energies

Self Cite

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This paper presents the development of a discrete model of a photovoltaic (PV) system consisting of a PV panel, Maximum Power Point Tracking (MPPT), a dual-axis solar tracker, and a buck converter. The discrete model is implemented on a 32-bit embedded system. The goal of the developed discrete PV model is to provide an efficient way for evaluating several algorithms and models used by the PV system in real-time fashion. The proposed discrete model perfectly matches the continuous and discrete model simulated with MATLAB-SIMULINK. The real-time performance is tested by running the model to simulate the PV system, where the fastest time sampling of 1 ms is achieved by the buck converter model, while the longest time sampling of 100 ms is achieved by the solar tracker model. Moreover, a novel method is proposed to optimize the net energy, which is calculated by subtracting the energy consumed by the tracker from the PV energy generated. The proposed net energy optimization method varies the operation time interval of the solar tracker under high and low solar irradiation conditions. Based on the real-time simulation of the discrete model, our approach increases the net energy by 29.05% compared to the system without the solar tracking and achieves an increase of 1.08% compared to the existing method.

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The maximum power point tracking (MPPT) on changes in radiation and temperature of solar modules based on fuzzy logic controller (FLC)

Asyadi¹,

Muliadi²

2023

International Conference on Mechanical Materials and Renewable Energy (Icmmre 2022)

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Modeling of Maximum Power Point Tracking Controller for Solar Power System

Abstract: AbstrakPada makalah ini, sebuah pengendali penjejakan titik maksimum daya (MPPT)

Cited by 8 publications

References 4 publications

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

Implementing Discrete Model of Photovoltaic System on the Embedded Platform for Real-Time Simulation

The maximum power point tracking (MPPT) on changes in radiation and temperature of solar modules based on fuzzy logic controller (FLC)

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