Abstract :
The solar systems are an intense need to full fill the energy requirement of developing countries like India. Where, thermal and photovoltaic are the two methods to utilize the solar energy directly from sun. In these methods solar equipments (e.g. flat plat collector and Photovoltaic panel) are kept in tilted position for absorbing maximum solar flux. Hence, finding the optimum tilt angle is the problem of optimization. Therefore, in this paper model driven optimization approach such as particle swarm optimization (PSO) estimator has been proposed to find optimum tilt angle and its results are compared with analytical results. A novel cost function has been applied to determine periodical optimum tilt angle. To validate the performance of PSO estimator results, statistical analysis study is carried out. Where, three statistical approaches such as descriptive method, direct method and Altman-Bland methods are adopted. The PSO estimator results are found satisfactory to ANA results at 95% confidence interval under statistical study
Keyword :
Solar panel, PSO, Bland-Altman, Solar Power