Transmission Strategy of GOOSE Service based on Cellular Multimedia Broadcasting in Smart Grid

Abstract

As the number of users or services continues to increase, limited bandwidth resources become a huge challenge for power wireless communication networks. The communication protocols widely used in the current distribution network have unclear data meanings, less correlation between data, and inability to interoperate between terminals, which is a bottleneck restricting the development of smart distribution networks. With the development and implementation of the IEC 61850 standard, more and more power service are sent in the form of broadcast and multicast. Among them, the GOOSE (generic object oriented substation event) service is used to transmit events such as real-time trip signals that require fast delivery of message information, and real-time performance is its main feature. However, in the multicast transmission of the power service carried by the existing transmission mode, there is a serious contradiction between resource utilization and the quality of services (QoS) of users. Therefore, in order to balance the QoS with poor signal quality in SFN (Single Frequency Network) transmission mode and to solve the problem of resource allocation being limited by the worst QoS, this paper proposes a hybrid transmission mode combining PTP (point to point) and SFN transmission. In addition, in order to improve resource utilization efficiency, we design a new transmission mode selection algorithm focus on the improvement of spectrum efficiency. The optimal solution obtained through greedy algorithms is the best transmission mode scheduling strategy. The simulation results show that the MIX (mixed transmission mode) effectively reduces the impact of poor QoS users on system performance when the number of users increases. At the same time, the transmission mode selection algorithm can save system resources more effectively than the traditional selection algorithm (PTP and SFN mode).