采用I-APSO算法的弛豫响应等效电路参数辨识  

Parameter identification for equivalent circuit of relaxation response based on interval-active particle swarm optimization algorithm

作　　者：蔡金锭[1] 曾静岚 李安娜[1] 

机构地区：[1]福州大学电气工程与自动化学院,福建福州350116

出　　处：《电机与控制学报》2015年第11期78-83,97,共7页Electric Machines and Control

基　　金：国家自然科学基金(61174117)

摘　　要：针对传统弛豫响应等效电路参数辨识方法无法排除试验中充电电压的波动和测量误差所造成的影响,结合去极化电流数据,引入区间-自适应粒子群算法(I-APSO)对油纸绝缘系统进行参数辨识。I-APSO算法不仅在计算过程中减小了实际误差,使结果更为精确,而且能高效率地定位参数解空间。同时考虑现有的介质响应函数未能真实反映实际极化问题,将方根指数衰减规律引入介质响应函数以改进现有的数学模型。最后计算结果表明,相较于传统方法,采用I-APSO算法和改进介质响应数学模型获取的去极化电流曲线与测试曲线更为吻合,通过此算法辨识的等效电路参数能更加真实、有效地反映油纸绝缘系统的极化过程。Aiming at traditional method of parameter identification for relaxation response equivalent circuit,which can not eliminate fluctuations of charging voltage and measurement error,combined with depolarizing current data,the interval-adaptive particle swarm optimization（ I-APSO） was introduced to identify the parameters of oil-paper insulation. The algorithm not only reduces the actual error making the result more precise,but also locates the optimal solution areas of the parameters effectively. The radical exponential decay law was used to improved dielectric response function considering that the existing one can not reflect the medium depolarization process accurately. The result shows that depolarizing current curve by I-APSO and improved dielectric response model can be matched better with test curve compared with conventional method,which reflects the dielectric process of oil-paper insulation system more truly and effectively.

关 键 词：等效电路 参数辨识 区间—自适应粒子群算法 介质响应函数 

分 类 号：TM411[电气工程—电器]