Path Optimization Technology Of Wireless Power Transfer Networks Based On Cellular Genetic Algorithm

The appearance and development of wireless power transfer(WPT)technology provide human society with a more flexible and safe way to use electricity,but the promotion of wireless power transmission technology has been restricted by the contradiction between transmission distance and transmission efficiency.Wireless power transfer networks(WPTNs)provide an effective solution for the wireless power supply of the electrical equipment group in a certain space.The basic idea is using the node(device)in WPTNs as the wireless power transfer relay node,through multi-node relay transmission mode,forming one or more power transfer links between the source node(power emission point)and the target node(device)to achieve all-round wireless power transfer in WPTNs,and guarantee the balance of energy supply among all electrical equipment in this local area network.The transmission efficiency between nodes and the energy balance distribution of the devices in the wireless power transfer networks are the most important targets.And it is also the most basic problem faced by wireless power transfer networks.However,there exists strong randomness for the establishment of transmission links of WPTNs,the redundant nodes making the transmission efficiency very low.In order to improve the transmission efficiency among nodes and ensure the balance of energy distribution,it is very necessary to optimize the transfer link.In this paper,the network frame of WPTNs is introduced in detail,and the principle and basic architecture of WPTNs are analyzed.For different operating conditions wireless power transfer networks is divided into active injection WPTNs and passive injection WPTNs.The power transfer targets of active injection and passive injection WPTNs are analyzed,and the objective functions and constraints of active injection and passive injection WPTNs are given in this paper.Then cellular genetic algorithm is used to optimize the transmission path and the characteristics of the cellular genetic algorithm and the basic genetic algorithm are compared and analyzed.According to the particularity of the problem,the fitness function,the mutation operator and the crossover operator of the cellular genetic algorithm are adjusted and the infeasible solutions generated during the optimization process are repaired.Finally,through MATLAB simulation platform,cellular genetic algorithm is used to optimize the path in active injection and passive injection wireless power transfer networks of different nodes.It is shown that the robustness and convergence of the cellular genetic algorithm are superior to the basic genetic algorithm by comparing and analyzing the optimization result of cellular genetic algorithm and basic genetic algorithm.Cellular genetic algorithm is feasible for path optimization of wireless power transfer networks.