Lyapunov-based Traffic Scheduling and Optimization in Smart Distribution Grid Communication Networks

Abstract

Saving financial cost is a challenge in heterogeneous smart distribution grid communication networks for different operation modes and differentiated quality of service (QoS). In this paper, financial cost and transmission quality are integrated into the cost-optimal distributed control mechanism to guide network controller to make traffic scheduling decisions. Firstly, a dedicate system architecture is established to model the characteristics of traffic and the dynamic evolution of hybrid access networks. And then a novel distributed control strategy based on Lyapunov theories is designed to optimize the traffic scheduling by taking output network access control and service rate adjustment control. Performance of the proposed scheduling strategy is evaluated by using MATLAB and OPNET, which shows that it can lower financial cost than conventional strategies while ensuring transmission quality.