Dynamic niche artificial bee colony algorithm for output control of MCR-WPT system

The variations of parameters in magnetically coupled resonant wireless power transfer (MCR-WPT) system leads to system detuning problem. When the operation frequency is shifted from the resonant frequency of the system, output power of load (PL) will reduce greatly. The mathematical formulation of PL is similar to a multimodal function of the operation frequency. All the maximums of PL are needed to confirm the operation frequency. This study describes a dynamic niche artificial bee colony (DNABC) algorithm for locating all the optimums of multimodal function. By judging the increment of individual fitness, DNABC algorithm divides the solution space into peaky niche and candidate niche, and updates the boundary of niches dynamically. It transforms searching multiple maximum values in the whole solution space into searching one global maximum in each niche. Taking a 3-coil MCR-WPT system as an example, the simulation and experiment results show that DNABC algorithm is affected little by the number of population and has high convergence speed and high optimisation accuracy.