Fuzzy hierarchical analysis based on the identification of power grid communication channel quality detection

Abstract

Power line communication is a crucial infrastructure to promise the development of the smart grid. A fuzzy hierarchical analysis model considering the influence of multiple physical quantities is proposed to detect and evaluate the power line communication channel quality. The theoretical model of power line transmission is integrated with the factors affecting the power lines communication channel, such as the channel nodes, the transmission distance, and the grid load, to evaluate the influence of different physical quantity parameters on channel quality. The fuzzy consistency matrix is used to calculate the fuzzy importance of the events at the bottom of the fault tree and then select the preferred response plan for the channel quality to achieve the channel quality fault detection and early warning. The method can quantify and visualize the influence of different physical quantities on the channel quality via the radar diagram, which can be used to select the solution for the channel of unknown quality and rank the factors according to their weights. Therefore, the scope of grid fault investigation can be reduced and the time and material resources for fault investigation can be saved.