Generalized load modeling based on the improved artificial bee colony algorithm

On the basis of a large number of documents, an improved artificial bee colony (ABC) algorithm is proposed, and then is applied in the generalized electrical load modeling in this paper. Firstly, an update replacement strategy of the worst nectars is presented by integrating the main principle of shuffled frog-leaping algorithm (SFLA) and ABC algorithm. In this way, the overall fitness of bee colonies is improved effectively, providing better optimizing performance as a result. Secondly, the structure of the generalized load model is given according to the impact of the distributed power to the load characteristic. The key problems such as the dynamic and static ratios, the difference between the rated and system capacities, and the initialization of motor are also analyzed in detail. Finally, the improved ABC is implied to the parameter identification of general.