Power prediction for grid-connected photovoltaic system in Malaysia

Zainuddin, Hedzlin; Shaari, Sulaiman; Omar, Ahmad Maliki; Sulaiman, Shahril Irwan

doi:10.1109/isesee.2011.5977079

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…The output power of a PV system is accessed via voltage and current produced from PV module where the multiplication of voltage and current produces power [19]. However, it is important to analyze power estimation accuracy, since the actual power output is usually lower than modelled one [5]. In [20], the author reviewed methods to calculate annual photovoltaic generation, by sorting all of the proposed methods into three categories.…”

Section: Modelling Of Photovoltaic Panelmentioning

confidence: 99%

“…Then, the mathematical model to estimate instantaneous PV module power output under real operating condition in term of P mp_stc can be represented by following expression [5]:…”

Section: Modelling Of Photovoltaic Panelmentioning

confidence: 99%

“…Then, output power from inverter is fed to the utility grid [4]. On the other hand, standalone photovoltaic (SAPV) systems are off grid systems, where PV technology is not connected to the grid, and power generated is not sold to the utility [5]. Before recommending and installing a PV system, it is crucial to ensure that the system is not over/under sized.…”

Section: Introductionmentioning

confidence: 99%

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Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

Alsadi

Khatib

2018

Applied Sciences

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The photovoltaic (PV) generating system has high potential, since the system is clean, environmental friendly and has secure energy sources. There are two types of PV system, which are grid connected and standalone systems. In the grid connected photovoltaic system (GCPV), PV generator supplies power to the grid, whether or not the whole or a portion of the generated energy will be used to supply load demands. Meanwhile, the standalone photovoltaic system (SAPV) is used to fulfil a load demand that close to its point of use. These days, many researchers study in term of optimization sizing of photovoltaic system, in order to select optimum number of PV modules, inverter, battery storage capacity, and tilt angle. Based on that, this review aims to give explanations on approaches done by previous researchers in order to find ultimate combinations for design parameters. Moreover, the paper discusses on modelling of PV system components, which includes PV panels’ output power estimation and battery system. Finally, simulation softwares that used as sizing tools in previous studies are reviewed and studied.

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Section: Modelling Of Photovoltaic Panelmentioning

confidence: 99%

“…Then, the mathematical model to estimate instantaneous PV module power output under real operating condition in term of P mp_stc can be represented by following expression [5]:…”

Section: Modelling Of Photovoltaic Panelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

Alsadi

Khatib

2018

Applied Sciences

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“…From equation (2) To minimise the error introduced by th change in solar irradiance is reflected in cha [7], is determined by summing the 30-min hour period where solar irradiance (and e generally at a high level: made based on the olar irradiance (kJ ize of PV system, ms will vary due to o the sun's solar s such as shading and soiling of the PV panels. Figure conversion efficiencies determined sites, using the methodology outline this paper.…”

Section: Matlab Analysismentioning

confidence: 99%

Voltage rise impacts and generation modeling of residential roof-top photo-voltaic systems

Wong¹,

Barr²,

Kalam

2014

2014 16th International Conference on Harmonics and Quality of Power (ICHQP)

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Environmental drivers have seen an exponential uptake of residential photo-voltaic (PV) systems in many parts of the world. PV intermittency and unpredictability have presented new challenges to the electricity generation, transmission and distribution sectors. From a power quality perspective, these PV systems cause additional flicker, unbalance and steady-state voltage fluctuations within distribution networks. The installation of residential smart meters with voltage monitoring facility in the state of Victoria, Australia, has detected increased steady state voltage violations at PV sites. To rectify these voltage violations and to allow for future increases in the number of PV installation connections, a model of PV kW output in response to solar irradiance and temperature has been developed. This innovative PV model has been developed from meteorological, irradiance and Smart Meter data without the need for detailed experimentation and testing of individual PV units.

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“…Due to this stimulating development, many studies have been conducted in Malaysia aiming to optimize the energy output of a PV system in Malaysia [4][5][6][7][8] Fundamentally, the energy output of a PV system will reduce when module temperature (T PV ) is greater than 25 o C. This is explained by referring to the temperature coefficient based on Standard Test Condition (STC); for crystalline PV module the power ratings typically have temperature coefficients within -0.5% o C -1 . Thus, an increment of 2 o C in T PV from STC temperature represents reduction in power output of 1 %.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic module temperature profile for Malaysia

Zainuddin

Sallo

Shaari

et al. 2015

2015 IEEE Conference on Energy Conversion (CENCON)

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Many attentions have been driven to evaluate the behaviour of PV module temperature for higher latitude regions, but very few were conducted for lower latitude regions. Thus, this study investigates the temperature profile of cell-to-cell within a single module and analyse the temperature difference between open circuit and on load operating conditions. This study has been conducted at Green Energy Research Centre, Universiti Teknologi MARA Shah Alam, Malaysia. The data was collected and separated in two sections which are daytime data and night time data. The daytime data of cell-to-cell temperature difference within a module shows the centre cell to be warmer than the corner cells with RMS different of 0.77 o C. For nighttime data, the RMS different was found to be only 0.34 o C. On the other hand, in changing the modules operating conditions from open circuit to on load conditions has resulted in lowering the module temperature significantly.

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Power prediction for grid-connected photovoltaic system in Malaysia

Cited by 8 publications

References 4 publications

Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

Photovoltaic Power Systems Optimization Research Status: A Review of Criteria, Constrains, Models, Techniques, and Software Tools

Voltage rise impacts and generation modeling of residential roof-top photo-voltaic systems

Photovoltaic module temperature profile for Malaysia

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