Three-phase Transformer optimization design based on NSGA2 algorithm

Abstract

Abstract To solve the problems of lack of diversity and low quality of solution set in the solving process of traditional transformer optimization algorithm, a multi-objective optimization algorithm based on NSGA-II is proposed. Firstly, a multi-objective optimization model of power transformer winding was established with manufacturing cost, additional coil loss and transformer short-circuit impedance as optimization objectives. Secondly, NSGA-II algorithm was used to optimize the model design. The optimization results showed that, compared with traditional MOPSO, MODE and MOEA. NSGA-II algorithm had better fitness values for each target. Finally, the reliability of the scheme is proved in a 110 kV/63000 kVA prototype, which has better economy compared with the traditional scheme.