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首页> 外文期刊>Kinetik >Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic
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Optimization of Maximum Power Point Tracking (MPPT) Using P&O-Fuzzy and IC-Fuzzy Algorithms on Photovoltaic

机译：利用P＆O-Fuzzy和IC-Fuzzy算法优化光伏最大功率点跟踪（MPPT）

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摘要

Solar energy is energy which can be harnessed conveniently and free. However, its conversion result may not be easily obtained. Based on the previous research, solar power plant is a source of renewable energy, utilizing solar energy. Solar power plant converts solar energy into electricity using Photovoltaic (PV) or solar cells. Even though solar power plant is considered as better energy alternative, it presents problems and weaknesses. In this case, the problems are related to insufficient power generation with low power efficiency, high oscillation and very slow power tracking. Hence, in order to solve these problems, Maximum Power Point Tracking (MPPT) has been utilized. Combination method of P&O-fuzzy and IC-fuzzy is employed to its design. Moreover, combined algorithm may result better power from conventional algorithm due to appropriate performance of duty cycle according to system design, with efficiency result of 79%-85.6%, tracking in searching output power of 0,0055s - 0,008s, low oscillation and maximum power generated by combined algorithm of 1028 watt.
机译：太阳能是可以方便，自由地利用的能源。但是，其转换结果可能不容易获得。根据先前的研究，太阳能发电厂是利用太阳能的可再生能源。太阳能发电厂使用光伏（PV）或太阳能电池将太阳能转换为电能。尽管太阳能发电厂被认为是更好的能源替代方案，但它仍然存在问题和不足。在这种情况下，问题与发电效率低，发电效率高，振荡和跟踪功率非常慢有关。因此，为了解决这些问题，已经利用了最大功率点跟踪（MPPT）。 P＆O-模糊与IC-模糊相结合的方法被设计。此外，根据系统设计，由于占空比的适当性能，组合算法可以从常规算法中获得更好的功率，效率结果为79％-85.6％，跟踪搜索输出功率为0.005s-0,008s，低振荡和最大值组合算法产生的功率为1028瓦。

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