Modeling and Simulation of a Solar Photovoltaic System, Its Dynamics and Transient Characteristics in LABVIEW

Abdulkadir, M.; Samosir, Ahmad Saudi; Yatim, A.H.M.

doi:10.11591/ijpeds.v3i2.2422

Cited by 18 publications

(9 citation statements)

References 22 publications

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“…The benefits of utilizing the PV reaction to generate electrical energy consist of absolutely no production of pollutants during operation, silent and prolonged lifespan. The main environmental factor that affects the electrical efficiency and power output of PV panel are solar radiation and operating temperature [1,2]. When the PV panel absorbs excess solar radiation, the operating temperature of the PV panel will be increased.…”

Section: Introductionmentioning

confidence: 99%

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Yusoff

Leow

Misrun

et al. 2015

IJECE

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Measurement the outdoor efficiency of photovoltaic (PV) panels is essential, but it is not likely an exceptional circumstance at any given moment is always repeating itself. A solar simulator was designed and fabricated for the purpose of analyzing the performance of PV panel with and without an air cooling mechanism in indoor test. Twenty units of 500 W halogen lamps with build-in reflector support by the steel structure holder act as a natural sunlight. The uniformity of the solar radiation was measured in the test area. Two units of PV panel with same characteristics were experimental in three sets of uniformity of solar radiation, which are 620, 821 and 1016 W/m². The operating temperature of PV panel with an air cooling mechanism can be decreased 2-3 ˚C compared to PV panel reference. The PV panel with an air cooling mechanism can be increased in 3-7 % of maximum power output based on solar radiation. An overall method and procedure of the measurement by the solar simulator are discussed and proposed.

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Section: Introductionmentioning

confidence: 99%

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Yusoff

Leow

Misrun

et al. 2015

IJECE

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“…Photovoltaic cells convert solar radiation directly into DC electrical energy [11]. The photovoltaic panel is composed of many cells, placed in series N s or in shunt N sh .…”

Section: Photovoltaic Array Modelmentioning

confidence: 99%

Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic

Oudda¹,

Hazzab²

2016

IJPEDS

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In this work, a fuzzy logic controller is used to control the output voltage of a photovoltaic system with a DC-DC converter; type Single Ended Primary Inductor Converter (SEPIC). The system is designed for 210 W solar photovoltaic (SCHOTT 210) panel and to feed an average demand of 78 W. This system includes solar panels, SEPIC converter and fuzzy logic controller. The SEPIC converter provides a constant DC bus voltage and its duty cycle controlled by the fuzzy logic controller which is needed to improve PV panel's utilization efficiency. A fuzzy logic controller (FLC) is also used to generate the PWM signal for the SEPIC converter. Keyword:DC-DC converter Duty cycle Fuzzy logic controller (FLC) Photovoltaic System (PV) Single ended primary inductorconverter (SEPIC)

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“…An ideal photovoltaic cell is comprised of a single diode connected in parallel with a light current source as depicted in Figure 1. A complete PV system simulation should fulfill the following criteria: (a) it should be simple and fast but able to correctively predict the I-V and P-V characteristic curves, including special conditions such as partial shading; and (b) it should be an overall tool which can evolve and ratify a photovoltaic system design allencompassing the power converter and the MPPT control as shown in Figure 2 [3,15,16].…”

Section: System Overviewmentioning

confidence: 99%

An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems

Abdulkadir

Yatim

Yusuf

2014

International Journal of Photoenergy

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This paper presents a control strategy proposed for power maximizing which is a critical mechanism to ensure power track is maximized. Many tracking algorithms have been proposed for this purpose. One of the more commonly used techniques is the incremental conductance method. In this paper, an improved particle swarm optimization- (IPSO-) based MPPT technique for photovoltaic system operating under varying environmental conditions is proposed. The approach of linearly decreasing scheme for weighting factor and cognitive and social parameter is modified. The proposed control scheme can overcome deficiency and accelerate convergence of the IPSO-based MPPT algorithm. The approach is not only capable of tracking the maximum power point under uniform insolation state, but also able to find the maximum power point under fast changing nonuniform insolation conditions. The photovoltaic systematic process with control schemes is created using MATLAB Simulink to verify the effectiveness with several simulations being carried out and then compared with the conventional incremental conductance technique. Lastly, the effectiveness of the intended techniques is proven using real data obtained form previous literature. With the change in insolation and temperature portrait, it produces exceptional MPPT maximization. This shows that optimum performance is achieved using the intended method compared to the typical method.

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Modeling and Simulation of a Solar Photovoltaic System, Its Dynamics and Transient Characteristics in LABVIEW

Cited by 18 publications

References 22 publications

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Analysis Air Cooling Mechanism for Photovoltaic Panel by Solar Simulator

Photovoltaic System with SEPIC Converter Controlled by the Fuzzy Logic

An Improved PSO-Based MPPT Control Strategy for Photovoltaic Systems

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