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Fuzzy Logic Based Maximum Power PointTracking Algorithm for Photovoltaic PowerGeneration System

机译:基于模糊逻辑的光伏发电系统最大功率点跟踪算法

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Energy is the most important factor for the economic development of a country. In order to cope with increased demand of energy, an efficient photovoltaic (PV) power generation system needs to be developed. The efficiency of PV module is very less and it shows nonlinear characteristics due to variation in solar irradiance and operating temperature. The efficiency of the PV system can be improved by operating the system at its maximum power point (MPP) which can be accomplished by adopting maximum power point tracking (MPPT) techniques. This paper addresses implementation of an fuzzy logic based MPPT method. MPPT tracking mechanism such as Perturb and Observe (P&O) MPPT algorithm and Fuzzy-MPPT (FMPPT) for PV power generation system are implemented in this work. The performance of FMPPT is compared with that of P&O MPPT. Since FMPPT can handle nonlinearity very well and can track the MPP more precisely and rapidly, it provides better performance than P&O technique in tracking of MPP.
机译:能源是一个国家经济发展的最重要因素。为了应对不断增长的能源需求,需要开发一种高效的光伏(PV)发电系统。光伏组件的效率非常低,并且由于太阳辐照度和工作温度的变化而显示出非线性特性。通过以最大功率点(MPP)运行系统可以提高PV系统的效率,这可以通过采用最大功率点跟踪(MPPT)技术来实现。本文讨论了基于模糊逻辑的MPPT方法的实现。在这项工作中实现了MPPT跟踪机制(如扰动和观测(P&O)MPPT算法和Fuzzy-MPPT(FMPPT))用于光伏发电系统。将FMPPT的性能与P&O MPPT的性能进行了比较。由于FMPPT可以很好地处理非线性,并且可以更精确,更快速地跟踪MPP,因此在跟踪MPP方面,它比P&O技术具有更好的性能。

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