A three-stage optimization method for dynamic optimal power flow

A progressively optimizing strategy for solving large-scale optimization problems is proposed in this paper. Based on this strategy, a three-stage optimization method for dynamic optimal power flow (DOPF) is presented. In the method, security-constrained economic dispatch (SCED), OPF and DOPF models are solved successively and progressively. The SCED model here is formulated as a quadratically constrained quadratic programming model, and hence it is capable of considering the reactive power and transmission losses. By solving related SCED and OPF models, a high-quality initial solution can be rapidly obtained to significantly improve the computational efficiency for solving the DOPF model without loss of accuracy. Data from a realistic power system are used in case studies to demonstrate the effectiveness and efficiency (nearly 90% computation time saved) of the proposed method.