关键词: 电力, 通信网络, 服务质量, 混合蚁群遗传算法, 仿真

Abstract: For the complex network topology and channel time-varying characteristics of power line carrier communication in low voltage distribution grid, there is a phenomenon of slow convergence and stagnation when solving the routing problem with traditional ant colony algorithm. The algorithm used is easy to fall into premature and local optimization. An automatic networking algorithm based on transmission delay and the load factor of the evaluation factors was proposed and a genetic algorithm was joined at a later stage. The optimal solution was obtained by using the improved crossover operators, and the convergence of optimal algorithm solution was accelerated by mutation operators. A logical topology of power line communication network combining with QoS requirements was established MATLAB simulation experiments show that the communication performance has been improved by the new algorithm and the QoS routing problems of power communication have been solved.

Key words: power, communication network, quality of service, hybrid ant colony and genetic algorithm, simulation