Heterogeneous Wireless Network Selection Algorithm for Smart Distribution Grid Based on Markov Model

In order to meet the requirement of communication technique for smart distribution grid (SDG), a heterogeneous wireless network selection algorithm for SDG based on Markov model is proposed to solve the problem that current network selection algorithms of heterogeneous wireless network do not consider the diversification of access network status according to the characteristics of communication system for SDG. Due to the QoS of communication services affected by the diversification of available bandwidth for SDG when the communication service of distributed grid is accessed, Markov model is built according to the dynamic variation of available bandwidth when and after network is selected, based on which the obtained benefit is forecasted, then the access of optimal network can be chosen. Simulation results show that the proposed algorithm can effectively improve the service quality level and network performance in SDG, which guarantee the operation reliability, economic, security and efficiency of SDG.