一种支持QoS的电力通信组网建模与仿真

Modeling and Simulation of Power Communication Networking Based on Quality of Service

针对低压配电网电力载波通信网络复杂及信道时变等特点,传统蚁群算法在解决路由问题时,存在收敛过慢和停滞现象,算法容易陷入局部最优。提出了一种以传输时延和负载为评价因子的自动组网算法,在蚁群算法后期加入遗传算法,利用改进的交叉算子获得最优解,变异算子加速算法向最优解收敛。模拟建立电力通信网络拓扑结构,结合Qo S路由要求,通过MATLAB仿真,验证了该算法通信性能得到改善,在一定程度上解决了电力通信Qo S路由问题。

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 Qo S requirements was established MATLAB simulation experiments show that the communication performance has been improved by the new algorithm and the Qo S routing problems of power communication have been solved.