A Dual Routing Planning Method based on Risk-aware and Deterministic Latency

Abstract

With the increasing importance of power communication networks, new power services such as relay protection and dispatch automation are also playing an increasingly critical role in the power production process. In order to reduce the risk of service failure and improve service reliability, while taking into account service performance guarantees, this paper proposed a risk-aware and deterministic delay-based service dual-route planning method. Firstly, based on network topology and service information, we constructed a network model and a service planning requirement model. Then combined with probability of failure and importance of service, we calculated the risk value of communication link and node, and introduce the end-to end deterministic delay model and the route intersection degree model, we proposed a joint optimization model of primary and backup routes. Further, a corresponding improved ant colony algorithm is proposed to plan service routes. Finally, based on a partial grid topology of a Chinese province, the simulation results show that the method improves the reliability and stability of the services while guaranteeing the service performance requirements.