中国电机工程学报Issue(18)：4799-4807,9.DOI:10.13334/j.0258-8013.pcsee.2015.18.028
基于人工鱼群与蛙跳混合算法的变压器Jiles-Atherton模型参数辨识
Parameter Identification of Jiles-Atherton Model for Transformer Based on Hybrid Artificial Fish Swarm and Shuffled Frog Leaping Algorithm
摘要
Abstract
ABSTRACT:Accurate modeling and simulation of the magnetization characteristic of transformer core is critical for the research of transformer DC bias phenomenon. Jiles-Atherton (J-A) model was applied to simulate the hysteresis loop of the experiment transformer. As the J-A model character is determined by its five parameters, it is necessary to identify the J-A model parameters of the transformer core under DC bias accurately. A hybrid artificial fish swarm and frog leaping algorithm was proposed to identify J-A parameters in this paper, which combined the advantages of fast convergence from artificial fish swarm algorithm and high local search accuracy from frog leaping algorithm. A transformer DC bias experiment was made, using two real transformers. According to the experiment result, the proposed algorithm was applied to identify the J-A model parameter of numerical simulation and experiment measured hysteresis loop, together with conventional artificial fish swarm, frog leaping algorithm, particle swarm and genetic algorithm respectively. The result shows that the hysteresis curve generated from the proposed hybrid algorithm has a great consistency with the measured curve, and compared to other two algorithms, the proposed algorithm has higher identification accuracy and computation efficiency, which makes it effective in the operating character analysis of the transformer under DC bias condition.关键词
Jiles-Atherton模型/变压器/直流偏磁/人工鱼群算法/蛙跳算法Key words
Jiles-Atherton model/power transformer/DC bias/artificial fish swarm algorithm/shuffled frog leaping algorithm分类
信息技术与安全科学引用本文复制引用
耿超,王丰华,苏磊,张君..基于人工鱼群与蛙跳混合算法的变压器Jiles-Atherton模型参数辨识[J].中国电机工程学报,2015,(18):4799-4807,9.基金项目
国家自然科学基金项目(51207090)。Project supported by the National Natural Science Foundation of China (51207090) （51207090）
