Abstract
Traditional modelling methods are generally forward modelling, that is, the basic parameters of photovoltaic cells provided by manufacturers need to be known before in order to calculate the power output of photovoltaic cells. However, the traditional modelling method is no longer applicable to complex situations, such as if manufacturer parameters are not available, or if the original manufacturer parameters are inaccurate due to prolonged usage. In this study, a new inverse modelling method is proposed, which uses genetic algorithm (GA) to identify the internal parameters of photovoltaic cell equation and solve the equation by Gauss-Seidel iterative method. The experimental test was conducted in Wuhan, China. The results show the root mean square error is only 1.34V and 2.66V for two-day tests, which demonstrated the effectiveness of the proposed method.
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