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Parameter Extraction of Photovoltaic Modules using Newton Raphson and Simulated Annealing Techniques

机译:使用牛顿拉文申和模拟退火技术的光伏模块参数提取

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Accurate simulation of photovoltaic (PV) modules is strongly dependent on parameters that are not given in manufacturers' data sheet. Number of parameters depend on type equivalent circuit models: Rs-, Rp-, and 2-diode models with four, five and seven unknown parameters respectively. Availability of different parameter extraction techniques has been presented and broadly classified as analytical, iterative and evolutionary techniques each of which has its own advantages and disadvantages. For Rp model with five unknowns, analytical method may not give accurate results unless with some assumptions. To solve this problem Newton Raphson is supposed to give better result at the cost of difficulty in close approximation of initial conditions and increased iterations. Recent trends show that evolutionary algorithms give improved result but common drawbacks of increased computation time and iterations. This paper focused on parameter extraction for five parameter (Rp-) model using Newton Raphson and Simulated Annealing techniques followed by verification with experimental data extracted from manufacturers' datasheet. The I-V characteristic curves, absolute relative error plots and maximum power point matching capabilities revealed superior performance of Simulated Annealing over Newton Raphson technique.
机译:精确模拟光伏(PV)模块强烈取决于制造商数据表中未给出的参数。参数数量取决于类型等效电路模型:RS-,RP和2二极管模型,分别具有四个,五个和七个未知参数。已经提出了不同参数提取技术的可用性,并广泛归类为分析,迭代和进化技术,每个技术都有其自身的优缺点。对于具有五个未知数的RP模型,除非有一些假设,否则分析方法可能无法提供准确的结果。为了解决这个问题,牛顿拉文森应该以近似初始条件的近似近似和迭代的困难成本提供更好的结果。最近的趋势表明,进化算法提供了改进的结果,但是计算时间和迭代的常见缺点。本文专注于使用牛顿拉文申和模拟退火技术的五个参数提取(RP-)模型,然后用从制造商的数据表中提取的实验数据进行验证。 I-V特性曲线,绝对相对误差图和最大功率点匹配能力揭示了牛顿Raphson技术的模拟退火的卓越性能。

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