Mr. Mariusz Ostrowski Profile

Mariusz Ostrowski

at Wroclaw Univ of Science and Technology

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Publications (7)

Proceedings Article | 30 April 2019 Paper

Comparison of the maximum power point tracking algorithms with hybrid method that uses a light sensor in the real shading conditions

Mariusz Ostrowski

Proceedings Volume 11026, 110261E (2019) https://doi.org/10.1117/12.2522467

KEYWORDS: Solar cells, Detection and tracking algorithms, Optical sensors, Temperature sensors, Diodes, Sensors, Device simulation, Temperature metrology, Computer simulations, Metrology

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Proceedings Article | 30 April 2019 Paper

A hybrid maximum power point tracking algorithm that uses the illumination and the temperature sensor in solar tracking systems

Janusz Mroczka, Mariusz Ostrowski

Proceedings Volume 11026, 110261D (2019) https://doi.org/10.1117/12.2522464

KEYWORDS: Solar cells, Detection and tracking algorithms, Solar energy, Solar concentrators, Sensors, Temperature sensors, Optical sensors, Temperature metrology, Clouds, Diodes

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Proceedings Article | 21 May 2018 Paper

The multi-input photovoltaic maximum power point tracker with integrated linear light sensor

Mariusz Ostrowski

Proceedings Volume 10688, 106881A (2018) https://doi.org/10.1117/12.2307359

KEYWORDS: Solar cells, Detection and tracking algorithms, Temperature metrology, Photovoltaics, Optical sensors, Solar energy, Sensors, Diodes, Microcontrollers

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Proceedings Article | 21 May 2018 Paper

Linear and nonlinear light sensors in SCC based maximum power point search algorithms

Mariusz Ostrowski

Proceedings Volume 10688, 1068819 (2018) https://doi.org/10.1117/12.2307352

KEYWORDS: Sensors, Solar cells, Optical sensors, Photoresistors, Temperature metrology, Photodiodes, Detection and tracking algorithms, Photovoltaics, Phototransistors, Analog electronics

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Proceedings Article | 29 April 2016 Paper

A hybrid solar panel maximum power point search method that uses light and temperature sensors

Mariusz Ostrowski

Proceedings Volume 9898, 98980X (2016) https://doi.org/10.1117/12.2227549

KEYWORDS: Solar cells, Temperature sensors, Correlation function, Detection and tracking algorithms, Sensors, Optical sensors, Diodes, Temperature metrology, Solar system, Solar radiation, Light sources and illumination, Manufacturing

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Solar cells have low efficiency and non-linear characteristics. To increase the output power solar cells are connected in more complex structures. Solar panels consist of series of connected solar cells with a few bypass diodes, to avoid negative effects of partial shading conditions. Solar panels are connected to special device named the maximum power point tracker. This device adapt output power from solar panels to load requirements and have also build in a special algorithm to track the maximum power point of solar panels. Bypass diodes may cause appearance of local maxima on power-voltage curve when the panel surface is illuminated irregularly. In this case traditional maximum power point tracking algorithms can find only a local maximum power point. In this article the hybrid maximum power point search algorithm is presented. The main goal of the proposed method is a combination of two algorithms: a method that use temperature sensors to track maximum power point in partial shading conditions and a method that use illumination sensor to track maximum power point in equal illumination conditions. In comparison to another methods, the proposed algorithm uses correlation functions to determinate the relationship between values of illumination and temperature sensors and the corresponding values of current and voltage in maximum power point. In partial shading condition the algorithm calculates local maximum power points bases on the value of temperature and the correlation function and after that measures the value of power on each of calculated point choose those with have biggest value, and on its base run the perturb and observe search algorithm. In case of equal illumination algorithm calculate the maximum power point bases on the illumination value and the correlation function and on its base run the perturb and observe algorithm. In addition, the proposed method uses a special coefficient modification of correlation functions algorithm. This sub-algorithm uses the error value between calculated and real maximum power point and on its base modifies correlation function coefficients.

Proceedings Article | 21 June 2015 Paper

Maximum power point search method for photovoltaic panels which uses a light sensor in the conditions of real shading and temperature

Janusz Mroczka, Mariusz Ostrowski

Proceedings Volume 9526, 95261L (2015) https://doi.org/10.1117/12.2184818

KEYWORDS: Optical sensors, Solar cells, Optical power tracking algorithms, Temperature sensors, Detection and tracking algorithms, Light sources and illumination, Temperature metrology, Sensors, Computer simulations, Correlation function

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Proceedings Article | 1 May 2015 Paper

Photovoltaic maximum power point search method using a light sensor

Mariusz Ostrowski

Proceedings Volume 9516, 95160D (2015) https://doi.org/10.1117/12.2178714

KEYWORDS: Solar cells, Optical sensors, Detection and tracking algorithms, Light sources and illumination, Correlation function, Temperature metrology, Photovoltaics, Temperature sensors, Evolutionary algorithms, Sensors

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