The Optimization of Solar Photovoltaic System for Rural Off-grid Villages

Prashobh Karunakaran, S. Karunakaran, Favian Cassidy, M. S. Osman, Arjun Karunakaran, Vayalooran Karuppan, Prashanth Karunakaran, Sreeja Haridas
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引用次数: 1

Abstract

This work studies improvements that can be made to the efficiency of solar PV systems such that they can be well utilized especially in non-grid connected rural villages to relieve the combustion engine thereby saving diesel as well as providing much needed rest time for the engine parts. Four efficiency factors were worked upon which are solar tracking, the digitization of the solar panel by providing them more intelligence, an improvement of the battery maintenance system and the digitization of the battery bank. To fully accomplish the digitization of the solar panel and battery bank AI is required and this is still being worked upon. An MPPT or Maximum Power Point Tracking system can still be utilized to provide a maximum power transfer to batteries. Solar PV output especially in equatorial Malaysia has a dismal historical record mainly due to the heavy cloud cover which forms intermittent shadows on the panels. This intermittency and high heat shortens lifespans of the battery banks and reduces the efficiency of the panels respectively.
农村离网村太阳能光伏发电系统优化研究
这项工作研究了太阳能光伏系统效率的改进,使其能够很好地利用,特别是在无电网连接的农村,以减轻内燃机的使用,从而节省柴油,并为发动机部件提供急需的休息时间。研究了四个效率因素,即太阳能跟踪,太阳能电池板的数字化,电池维护系统的改进和电池库的数字化。为了完全实现太阳能电池板和电池组的数字化,需要人工智能,这仍在研究中。MPPT或最大功率点跟踪系统仍然可以用来为电池提供最大功率传输。特别是马来西亚赤道地区的太阳能光伏发电产量历史记录不佳,主要原因是厚重的云层在电池板上形成了间歇性的阴影。这种间歇性和高热量缩短了电池组的寿命,降低了面板的效率。
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