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Optimal design of stand alone photovoltaic system using evolutionary programming

机译:使用进化规划的独立光伏系统最优设计

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This paper proposes the optimization of Photovoltaic-Battery system with MPPT-based charge controller using Evolutionary Programming in MATLAB. Therefore, this research includes the determination of appropriate system voltage, battery bank, Photovoltaic array and inverter needed in order to fulfill the required load. On the other hand, the selected photovoltaic module will be identified from different type of photovoltaic modules with and without using Evolutionary Programming which plays an important role in this system to get more efficient of photovoltaic module. Thus, the result is obtaining the cost of Stand Alone Photovoltaic system components. The data of load profile and solar irradiation are classified known from location in Tawau, Sabah.
机译:本文提出了利用MATLAB进化编程的基于MPPT基电荷控制器的光伏电池系统优化。 因此,该研究包括确定适当的系统电压,电池组,光伏阵列和逆变器,以满足所需的负载。 另一方面,选择的光伏模块将从不同类型的光伏模块中识别,并且不使用在该系统中起重要作用的进化编程,以获得更高效的光伏模块。 因此,结果是获得独立的光伏系统组件的成本。 载荷曲线和太阳照射的数据被列为塔瓦,沙巴的位置已知。

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