基于IPSO算法的非晶合金变压器优化设计

Optimal Design of Amorphous Alloy Transformer Using Improved Particle Swarm Optimization

针对目前变压器设计效率低,以节能型三相非晶合金铁心油浸式变压器(以下简称非晶油变)为设计对象。在人工设计和使用循环遍历法的基础上,提出将改进的粒子群算法(improved particle swarm optimization,IPSO)应用于10KV配电变压器的优化设计。得出变压器在手工设计、循环遍历法和IPSO算法优化后的主要性能参数及优化数据。仿真结果表明,IPSO算法比其他两种方法更有助于改善非晶油变的空载损耗、负载损耗、短路阻抗、绕组对油温升和节约主材成本。

To deal with the low efficiency of transformer design, take the energy-saving three-phase amorphous alloy core oil-immersed transformer as the design example. Based on the manual design and use the cyclic traversal method, the improved particle swarm optimization(IPSO) is proposed to apply in optimize the design of 10 KV distribution transformer. The main performance parameters and optimization data of the transformer are optimized by manual design, cyclic traversal and IPSO. The simulation results show that the IPSO algorithm can improve the no-load loss, load loss, short circuit impedance, winding to oil temperature rise and save the cost of the main material.