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Investigating the Effects of Electric Vehicle with Maximum Power Point Tracking Algorithm on Power System
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Ali Ettehadieh   , Ali asghar Shojaei , Amir Bagheran * |
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Abstract: (957 Views) |
| Abstract: As fuel prices increase and environmental issues become more serious due to the use of fossil fuels, as well as the expiration of fossil fuels, the researchers are looking to find alternative fossil fuels. Using renewable and green energy like solar energy using photovoltaic systems would be a convenient and cost-effective way. It is important to note that the efficiency of these cells changes dramatically as the angle of radiation changes. Therefore, the need for a control method to detect maximum power point (1MPPT) is absolutely essential. In fact, MPPT is an automatic control algorithm for power level adjustment, which achieves the highest harvesting power from moment to moment variations of radiation level, shadow, temperature and photovoltaic module characteristics. In this study, using the Genetic Algorithm to reach the MPPT point by simulating the photovoltaic system intended for the vehicle, and battery charging and discharge methods at different times, given the cost of electricity during daylight hours, a clear conclusion is reached in Get used to electric cars with photovoltaic arrays. The major and serious challenge is the rapid changes in radiation and partial shading. MPPT behavior was also investigated in partial shading conditions in this study. |
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Full-Text [PDF 769 kb]
(235 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2019/05/10 | Accepted: 2019/07/9 | Published: 2019/08/11
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