TrendRank method for evaluating the importance of power grid nodes considering information network

To ensure the stable operation of power systems, critical nodes need to be identified for key protection. The LeaderRank algorithm is a fast and accurate identifying nodes, but it has obvious inappropriateness when targeting system. For this reason, paper considers scheduling function information network flow betweenness grid. A TrendRank proposed identify in complex grids. values can computed iteratively by weighted distribution strategy internally linked then ranked. performance method been fully tested benchmarked on IEEE39 IEEE118. comparison four metrics validates effectiveness superiority method. provides an idea protecting system, which makes economic cost system lower.