Modelling of Photovoltaic Modules Based on Hybrid Artificial Bee Colony Algorithm

Abstract

In recent decades, the application of photovoltaic (PV) power generation and other new energy begins to attract people’s attention. The modelling of PV modules is significant for accurately estimating the generation power and electrical characteristic of the PV modules or arrays under complicated outdoor conditions. In this paper, a hybrid ABC algorithm is proposed. The model parameters of PV modules can be identified. In the proposed algorithm, three kinds of bees are hybrid, and they can complement each other and change roles dynamically, which makes the performance of the algorithm better than other basic optimization algorithms. Experimental results verify that the proposed hybrid ABC can effectively identify the model parameters and achieves better modelling accuracy of the I-V characteristics.