Optimal Power Flow Dimensionality Reduction Method with Transient Stability Constraints Based on Dynamic Partitioning

In order to improve the optimal solution speed of transient security constrained optimal power flow in power systems, a two-stage dynamic partitioning method is proposed. Based on adaptive transient partitioning, an optimal dimensionality reduction method for transient security constrained optimal power flow is proposed. Considering the transient voltage response process under different faults, the power grid is divided into adaptive transient regions, and each region is solved with an independent optimization problem. Then, the optimization problem with a high degree of nonlinearity is linearized. The large-scale dynamic reactive power reserve optimization problem of the power grid is approximately decomposed into multiple small-scale subproblems, and a decomposition model of the optimal power flow with transient security constraints in multiple regions is established. Finally, the proposed model and method are validated based on IEEE39. The results show that the optimal dimensionality reduction method based on transient partitioning can effectively improve the optimization speed while ensuring the accuracy of the solution.