|本期目录/Table of Contents|

[1]蔡金锭,曾静岚,李安娜.采用 I-APSO 算法的弛豫响应等效电路参数辨识 [J].电机与控制学报,2015,19(11):78-83.[doi:10. 15938 / j. emc. 2015. 11. 012]
 CAI Jin-ding,ZENG Jing-lan,LI An-na.Parameter identification for equivalent circuit of relaxation response based on interval-active particle swarm optimization algorithm [J].,2015,19(11):78-83.[doi:10. 15938 / j. emc. 2015. 11. 012]
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采用 I-APSO 算法的弛豫响应等效电路参数辨识

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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
19
期数:
2015年11
页码:
78-83
栏目:
出版日期:
2015-12-31

文章信息/Info

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

作者:
蔡金锭 曾静岚 李安娜
 ( 福州大学 电气工程与自动化学院,福建 福州 350116)
Author(s):
CAI Jin-ding ZENG Jing-lan LI An-na
 ( College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350116,China)
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
Keywords:
equivalent circuit model parameter identification interval-active particle swarm optimization algorithm dielectric response function
分类号:
TM 411
DOI:
10. 15938 / j. emc. 2015. 11. 012
文献标志码:
A
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。
Abstract:
Aiming at traditional method of parameter identification for relaxation response equivalent cir-cuit,which can not eliminate fluctuations of charging voltage and measurement error,combined with de-polarizing current data,the interval-adaptive particle swarm optimization( I-APSO) was introduced to i-dentify 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.

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备注/Memo

备注/Memo:
 收稿日期: 2014 - 11 - 05
基金项目: 国家自然科学基金( 61174117)
作者简介: 蔡金锭( 1954—) ,男,博士,教授,博士生导师,研究方向为人工智能技术在电力工程中的应用研究;
曾静岚( 1990—) ,女,硕士研究生,研究方向为电力变压器油纸绝缘故障诊断;
李安娜( 1988—) ,女,硕士,研究方向为电力变压器油纸绝缘故障诊断。
更新日期/Last Update: 2016-03-13