Abstract:In order to explore the optimal power flow problem of the power system with electronic power transformers, based on the analysis of the simplified model of electronic power transformers, the control variables of the optimal power flow, and the constraints, A multiobjective optimal power flow model is established for electric-power Transformers with economic factors and voltage stability. The model takes reducing the cost of power generation and increasing the load margin as the target function, and considers the flexible active and reactive power adjustment ability of electronic power transformer, voltage adjustment ability of loaded voltage regulating Transformer, dispatching load, and active and reactive power adjustment ability of adjustable reactive power supply. A hybrid algorithm based on genetic algorithm and internal point algorithm is proposed to solve the optimal power flow model. The main idea of the algorithm is to use genetic algorithm as a framework to optimize discrete variables. In each iteration of genetic algorithm, The internal point algorithm is used to evaluate the continuous variable optimization and adaptability of each individual. Based on the IEEE-14 node example, the optimal flow calculation based on the hybrid algorithm and the internal point method is carried out. The calculation results verify the rationality of the proposed model and the effectiveness of the algorithm.