MPPT Based on Modified Incremental Conductance Algorithm for Solar Powered UAV
| Autor: | Ronny Mardiyanto, Sjamsjul Anam, Dedet Candra Riawan, Eko Setijadi, Mochamad Ashari, Heri Suryoatmojo, R. M. Hakim |
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| Rok vydání: | 2019 |
| Předmět: |
business.product_category
Maximum power principle Computer science business.industry 020209 energy Photovoltaic system Response time 02 engineering and technology Converters Maximum power point tracking Photovoltaics Electric vehicle 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Hill climbing Algorithm |
| Zdroj: | 2019 International Seminar on Intelligent Technology and Its Applications (ISITIA). |
| DOI: | 10.1109/isitia.2019.8937264 |
| Popis: | Photovoltaics (PV) technology today becomes popular source of energy because the benefit of low-cost maintenance and emission free. One of the many applications of PV technology is electric vehicle. Development of the PV technology in electric vehicle such as Unmanned Aerial Vehicle (UAV) and electric cars. PV operations also have its own characteristics, therefore optimal method is required to maximize the PV power output. This method called MPPT (Maximum Power Point Tracking). MPPT is a series of DC-DC converters that can set the operating voltage of the PV to reach the maximum power output. In the application of UAV, the PV will get highly volatile and intermittent irradiance because of the mobility of the UAV. Because this problem, it needs implementation of MPPT method that has fast response time of convergence, so it always produce the maximum power for each conditions. In this paper, the MPPT was designed by incremental conductance that already modified using correction factor from PV conductance value. Experimental results also showed that with the changing in irradiance and load values, Mod-Inc algorithm has better efficiency than hill climbing method. |
| Databáze: | OpenAIRE |
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