Tuning Parameters of the QoS-Aware Routing Protocol for Smart Grids Using Genetic Algorithm

Smart Grid (SG) incorporates various data communication networks to cover the complicated power systems in an intelligent and efficient way. This network utilizes the mutual flows of the data and electricity to facilitate the relations among the network components. One of the most attractive areas in the SG is the routing optimization, by which the data transmission is accompanied by Quality of Service (QoS) assurance. In this article, we tune the suggested parameters of the genetic-algorithm-inspired QoS-aware routing protocol, namely Genetic Algorithm Stable Optimization Multiconstrained Routing (GASOMCR) protocol. The QoS requirements are extracted to monitor the degree of user satisfaction of the services as well as ensure the QoS existence in the routing approach. Different sets of parameters, i.e., packet loss, path loss, effective throughput, network criticality, network availability, packet transmission delay, and connection outage probability are used to assess the QoS of the SG. These parameters are analyzed and the behavior of the network cost function is determined for each of these parameters. Appropriate parameterization of the proposed GA is very effective in the performance convergence of the network. The results obtained by GASOMCR protocol show that the performance improvement, which is obtained from minimizing the network cost function as well as having the trade-off among the various proposed parameters, is obviously achieved.