Research On Improved Particle Swarm Optimization In The Design Of Rectifier Transformer

Rectifier transformer has a very wide range of applications in industrial field, including electrochemical industrial, electroplating, DC power and DC transmission. With the continuous improvement of industry standards, the new capacity and structure of the rectifier transformer have many new requirements, which require the designer to design different characteristics of the rectifier transformer according to different situations. It is too time-consuming to calculate the electromagnetic part of the ZS-2000/10 rectifier transformer manually. Therefore, in order to improve the calculation efficiency, the paper uses Visual C + + software for the calculating process, in which segmented partition method program is adopted for the design process of electromagnetic parts, as a result it reduces programming difficulty, improves efficiency and saves work time.The current design of the rectifier transformer, many parameters have no specific national regulations. Each designer's experience and the selected parameters are often different, the results will be different, and so it is very necessary to optimize the design. This paper studies the advantages and disadvantages of various optimization algorithms through data access, aiming at the characteristics of the calculated parameters rectifier transformer, the particle swarm optimization algorithm is choused. PSO is an optimization model which can be applied to many of the global search algorithm; the calculation is simple, fast and accurate. However the algorithm is limited in the case of few initial parameters and it is easy to fall into local optimum, so it needs improvement. In the basic PSO, the control factorαis introduced, so as to adjust the value of inertia weight w . The control factors divide the maximum iterating times into several segments, each particle's inertia weigh is decided by the comparison results of self-adapting and group average fitness value when each iteration begins. Good fitness particle tend to local search, inertia weight is not made adjust; poor fitness particles will carry on global surveyor, adjust inertia weight to find the optimal solution, so that the whole particle swarm diversity and good convergence.Finally, the improved particle swarm optimization algorithm is applied to ZS-2000/10 kV rectifier transformer design optimization, and the calculation of the electromagnetic part is calculated by Visual C + + programming, interactive interface to display the final results. By comparing the results with manual calculation shows that the improved algorithm is more feasible and effective.