摘要
分析油浸式变压器绕组损耗和内部传热机理,基于IEEE Std C57.91导则Annex G,并利用传热学理论对热点温度进行建模研究。针对模型参数优化问题,分别采用改进粒子群算法和遗传算法对参数进行寻优,对比表明改进粒子群算法对参数优化的结果最佳。结合实验室变压器内部温度测量试验系统采集的实测数据,应用该模型计算热点温度,与实测数据、IEEE导则推荐方法和普通底层油温模型计算结果相比较。结果表明:该模型的计算值与实测值基本一致,具有较好的适应性,且计算性能和精度均优于IEEE导则推荐方法和普通底层油温模型。
The winding loss and internal heat transfer mechanism of oil-immersed transformer is analyzed, a model of HST based on IEEE Std C57.91 guide Annex G is introduced by heat transfer theory. To obtain the optimum parameters of the model, the improved particle swarm optimization (PSO) and genetic arithmetic (GA) are used separately, the results indicate that the improved PSO attains satisfactory optimal parameters. According to experimentally measured data collected from transformer internal temperature measurement system, the model is used to calculate the HST, which is contrasted with the measured data, the IEEE guide and the calculation result of the general bottom oil temperature model. The results show that the calculated values of the model are basically identical with the measured temperature, and have better adaptability, the computing performance and accuracy are better than IEEE guide and the general bottom oil temperature model.
出处
《智能电网》
2015年第6期531-536,共6页
Smart Grid
关键词
热点温度
油浸式变压器
传热学
改进粒子群算法
参数寻优
hot-spot temperature
oil-immersed transformer
heat transfer
improved particle swarm optimization
parameter optimization
