变压器德拜模型的RVM法分析及粒子群优化算法研究  

Analysis of RVM Method and Study of Particle Swarm Optimization Algorithm for Debye Model in Transformer

作　　者：曾光 ZENG Guang(Liaoning Electric Power Co. ,Ltd. ,State Grid,Shenyang 110000,China)

机构地区：[1]国网辽宁省电力有限公司,辽宁沈阳110000

出　　处：《自动化仪表》2020年第5期58-64,70,共8页Process Automation Instrumentation

摘　　要：为进一步研究变压器油纸系统绝缘性能,对复合结构开展模型等效。在对模型充分简化基础上,进行理论研究;搭建等效仿真模型,研究充电电压U0、充放电时间比m和极化支路个数x对回复电压及其最大值产生的作用。将粒子群算法运用到在役变压器等效模型的参数辨识上,通过将测量值和计算值进行对比,验证采用该算法获得参数的准确性。结果表明:德拜模型能对油纸复合系统进行等效简化;参数U0、m和x对回复电压的改变均有较为明显的影响,可经回复电压推断出给系统绝缘能力的作用情况;选择粒子群算法对等效模型参数开展辨识,能准确得出所需的相互关系。通过在役变压器实例验证可知,采用该算法得到的测试结果和计算结果具有较高的拟合度,对现场变压器具有较高的实际应用价值。For the further study of transformer insulation ability to oil paper system,carrying out the equivalent model to composite structure;The model was fully simplified based on theoretical research;Building the equivalent simulation model to study charge voltage U0,charge and discharge time ratio m and polarization branch number x to recovery voltage and its maximum;The effect of the particle swarm algorithm was used to the parameter identification of transformer in service;The measured values and the calculated values were compared to verify the accuracy in parameter to the algorithm.The results show that the Debye model could simplify the oil paper composite system.The effect if parameters U0,m and x were obvious with the return voltage were changed,the effect of the return voltage to the system insulation ability could be inferred.Selecting particle swarm algorithm developed to identify the equivalent model parameters could accurately obtained relationship required.Transformer in service were verified by examples,between test results and calculation results have higher fitting degree were drawn which could bring high practical application value of transformer on site.

关 键 词：绝缘 等效模型 辨识 变压器 复合结构 粒子群优化 极化支路 

分 类 号：TH39[机械工程—机械制造及自动化]