The controlled splitting strategy for power system based on a decomposition algorithm

As one of effective emergency control measures that are taken to keep the interconnected power grids from collapse caused by cascading failure, controlled splitting received broad recognition and approbation from engineering field and academic circle. The optimal controlled splitting problem is essentially an optimal graph splitting problem subjected to complicated topology constraints and large-scale, nonlinear constraints. In this paper, a complete model of the optimal controlled splitting of the power system is proposed, and a new decomposition algorithm searching for optimal splitting strategy was proposed. The complete model was converted into coupling sub-problems: graph partition problems and optimal power flow problem. The graph partition problem is solved by CGKP(Connected Graph Constrained Knapsack Problem) algorithm. Load and generation power adjustment variables are taken as transfer variables between the sub-problems. The results of the samples demonstrate the validity of the new model and method.