一种混合优化方法在变压器双螺旋式线圈换位优化设计中的应用

Application of hybrid optimal method in transformer double-helical winding transposition optimal design

怎样最有效地减少大电流线圈的环流损耗是变压器设计中一个长期未能解决的难题。双螺旋式线圈的环流损耗与并联导线的换位位置及换位步长密切相关 ,其换位优化设计涉及到电磁场形状位置优化问题。本文针对遗传算法的优缺点 ,对常规遗传算法作出了相应的改进 ,并将改进的遗传算法与复合形法相结合 ,应用于双螺旋式线圈的换位优化 。

The circulating curent losses in double\|helical winding of fransformers has a close relationship with the transposed position and transposed step of parallel conductors. The transposition optimal design is related to the electromagnetic field shape and position optimal problem. This paper improves the normal genetic algorithm and proposes a hybrid optimal method to optimize the transposition of double\|helical winding. This hybrid optimal method is a combination of improved genetic algorithm and complex strategy method. An actual power transformaer is used as a computational example.