Risk-Aware Service Routes Planning for System Protection Communication Networks of Software-Defined Networking in Energy Internet

• Main Authors: Baoju Liu, Peng Yu, Xuesong Qiu, Lei Shi
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Energy internet; routing planning; risk; SPCN; SDN
• Online Access: https://ieeexplore.ieee.org/document/9089853/

Energy Internet (EI) is assumed to be the advanced stage of smart grids (SG), which is aiming to facilitate the utilization and sharing of energy through a highly flexible and efficient grid by leveraging renewable energy and Internet technology. To ensure coordinated operations of subsystems in EI, it requires the assistance of the high-performance system protection communication network (SPCN). As a promising networking technology, Software-defined networking (SDN) is applied to the communication architecture construction of SPCN due to the benefits of a global view of the SDN controller along with the programmability. At the same time, in light of the significance of control services to EI and to ensure continuous and reliable transmission, dual routes are urgent to be preplanned so that the SDN controller freely switch control services from the primary routes to the alternate routes in the case of failures. However, the existing constructed routing strategies confront the conflict of network risk concentration as well as the requirement of service latency. Moreover, there are few studies considering both network operation risk and the latency requirement during routes planning. Hence, the problem of simultaneously minimizing the effect of network risk and potential delay of routes is formulated as a multi-objective optimization problem, which is NP-hard. We propose a novel risk-aware routes planning mechanism (RSRM) based on an evolutional algorithm. Extensive emulation results demonstrate that the proposed approach shows a better performance in different network topologies. At the same time, the metric of balancing risk of the network with RSRM achieves the minimum in comparison with other schemes while guarantees the near minimal service latency.