A distributed software defined networking model to improve the scalability and quality of services for flexible green energy internet for smart grid systems

Energy Internet is a new concept for future power systems with high-level interconnection among different systems for energy delivery and energy resources. Smart grid systems are based on multiple routing and data transferring services for energy management, distribution, pricing, and demand services. The traditional networks have suffered from high and complex computing operations and lead to degrading the overall performance of all operations. Software-Defined Networking (SDN) is one of the platform to enhance the flexibility and efficiency by decoupled the control plane from its data plane. A detachment of these two-planes improved dynamic configuration, controller programmability, centralized and decentralized network operations. In this study, a distributed SDN approach is used to address the scalability and robustness issues and improve the overall energy efficiency in smart grids systems. The SDN controller logically centralized but it works on multiple nodes that physically distributed. Distributed nodes are communicating with each other and improve the network performance to assist data flow. When flow arrives through end devices to any data plane in distributed SDN, the proposed approach supports the data plane to increase the controller response time. Also, the controller checks, whether data needs to prioritize flow to send it locally or globally with the help of Elephant or Mice flow. The proposed approach is used to reduce the controller workload, response time and manage Quality of Services (QoS) and enhanced energy efficiency among controllers. This approach also improves the green energy utilization in smart grid systems. The experimental results indicate that the proposed approach is more suitable and feasible for smart grid systems.