In this paper, a decomposed interior point method (IPM) is proposed for solving the dynamic optimal power flow (OPF), which is alarge -scale and nonlinear optimization problem. The Karush-Kuhn-Tucker (KKT) system in IPM is decomposed into many subsystems based on its special block structure. The size of the subsystems depends on the size of network only so that the complexity and computation burden of the problem are significantly reduced. Since different parameter settings of iteration processes are required for the decomposed subsystems, a strategy for the implementation of the decomposed IPM in the dynamic OPF is introduced. The effectiveness of the proposed method has been demonstrated on the IEEE 14-bus system with up to 24 time intervals.
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