Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler
The electrical energy generated by the photovoltaic (PV) as a renewable energy source highly affected by environmental conditions such as intensity of sunlight irradiance, temperature, geographic location and tilt angle of PV itself. How much power should be generated by the PV for every times and a...
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| Format: | Article |
| Language: | English |
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Universitas Andalas
2015-09-01
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| Series: | Jurnal Nasional Teknik Elektro |
| Subjects: | |
| Online Access: | http://jnte.ft.unand.ac.id/index.php/first/article/view/163/188 |
| _version_ | 1818872813226819584 |
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| author | Eka Prasetyono Ragil Wigas Wicaksana Novie A Windarko Moh. Zaenal Efendi |
| author_facet | Eka Prasetyono Ragil Wigas Wicaksana Novie A Windarko Moh. Zaenal Efendi |
| author_sort | Eka Prasetyono |
| collection | DOAJ |
| description | The electrical energy generated by the photovoltaic (PV) as a renewable energy source highly affected by environmental conditions such as intensity of sunlight irradiance, temperature, geographic location and tilt angle of PV itself. How much power should be generated by the PV for every times and anywhere will be discussed in this paper. This paper are implemented models of clear sky solar irradiance, solar position and PV temperature to predict the power output should be generated by PV. The model is implemented on the ARM Cortex M4F microcontroller STM32F407 which is a 32bit microcontroller and equipped with DSP, so the prediction of PV power output can be done online and in real time. To be able to predict the PV power output online, at any time and wherever they are, in this study microcontroller equipped with temperature sensors and input geographical information (latitude-longitude) and also equipped with a memory card for data logger between the predictions and field measurement. Results have been obtained by field experiments, measurements test for PV is very close to predictions with an average error 4.72% and computation time for all models by microcontroller with DSP instruction 33.64% faster compare to without DSP instruction. |
| first_indexed | 2024-12-19T12:44:46Z |
| format | Article |
| id | doaj.art-849053f9f61e40608c1f5947fe6507c5 |
| institution | Directory Open Access Journal |
| issn | 2302-2949 2407-7267 |
| language | English |
| last_indexed | 2024-12-19T12:44:46Z |
| publishDate | 2015-09-01 |
| publisher | Universitas Andalas |
| record_format | Article |
| series | Jurnal Nasional Teknik Elektro |
| spelling | doaj.art-849053f9f61e40608c1f5947fe6507c52022-12-21T20:20:49ZengUniversitas AndalasJurnal Nasional Teknik Elektro2302-29492407-72672015-09-0142190199Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis MikrokontrolerEka Prasetyono0Ragil Wigas Wicaksana1Novie A Windarko2Moh. Zaenal Efendi3Prodi Teknik Elektro Industri, Depatermen Teknik Elektro, Politeknik Elektronika Negeri SurabayaProdi Teknik Elektro Industri, Depatermen Teknik Elektro, Politeknik Elektronika Negeri SurabayaProdi Teknik Elektro Industri, Depatermen Teknik Elektro, Politeknik Elektronika Negeri SurabayaProdi Teknik Elektro Industri, Depatermen Teknik Elektro, Politeknik Elektronika Negeri SurabayaThe electrical energy generated by the photovoltaic (PV) as a renewable energy source highly affected by environmental conditions such as intensity of sunlight irradiance, temperature, geographic location and tilt angle of PV itself. How much power should be generated by the PV for every times and anywhere will be discussed in this paper. This paper are implemented models of clear sky solar irradiance, solar position and PV temperature to predict the power output should be generated by PV. The model is implemented on the ARM Cortex M4F microcontroller STM32F407 which is a 32bit microcontroller and equipped with DSP, so the prediction of PV power output can be done online and in real time. To be able to predict the PV power output online, at any time and wherever they are, in this study microcontroller equipped with temperature sensors and input geographical information (latitude-longitude) and also equipped with a memory card for data logger between the predictions and field measurement. Results have been obtained by field experiments, measurements test for PV is very close to predictions with an average error 4.72% and computation time for all models by microcontroller with DSP instruction 33.64% faster compare to without DSP instruction.http://jnte.ft.unand.ac.id/index.php/first/article/view/163/188PhotovoltaicReal time power prediction and Microcontroller |
| spellingShingle | Eka Prasetyono Ragil Wigas Wicaksana Novie A Windarko Moh. Zaenal Efendi Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler Jurnal Nasional Teknik Elektro Photovoltaic Real time power prediction and Microcontroller |
| title | Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler |
| title_full | Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler |
| title_fullStr | Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler |
| title_full_unstemmed | Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler |
| title_short | Pemodelan dan Prediksi Daya Ouput Photovoltaic secara Real Time Berbasis Mikrokontroler |
| title_sort | pemodelan dan prediksi daya ouput photovoltaic secara real time berbasis mikrokontroler |
| topic | Photovoltaic Real time power prediction and Microcontroller |
| url | http://jnte.ft.unand.ac.id/index.php/first/article/view/163/188 |
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