Improve PV System with MPPT Technique by Using Chaotic Whale Optimization Algorithm

Solar energy has grown in popularity because of nonconventional energy resource. Therefore, the layout of PV cells has aroused fascinate of investigators round the globe. There are two major issues in this sector: the lack of a suitable idea for characterizing solar cells and the scarcity of information on photovoltaic panels. This scenario has an effect on the effectiveness of photovoltaic modules (panels). The current vs. voltage features are utilized to model the properties of solar cells. Taking these values into account, the modeling process entails solving complex nonlinear as well as multimodal objective factors. To recognize the variables of photovoltaic cells as well as frames, various systems have been suggested. The majority of each other frequently fail to find the best solutions. The CWOA is proposed in this paper for estimating the variables of solar cells. The suggested technique has the key benefit of utilizing chaotic maps to calculate and quickly apply the input variables of the optimization technique. This scenario is advantageous in complicated situations because the suggested methodology enhances their opportunity to discover for the right approach during the automated manner. The suggested technique can maximize detailed as well as multimodal optimization problem.