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多目标参数寻优下的光纤电流互感器优化设计

许少毅 尚思旭 庞福滨 谷相宏 邓星 杨坤

电力工程技术2026,Vol.45Issue(8):82-92,11.
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电力工程技术2026,Vol.45Issue(8):82-92,11.DOI:10.12158/j.2096-3203.2026.08.008

多目标参数寻优下的光纤电流互感器优化设计

Optimal design of optical fiber current transformers under multi-objective parameter optimization

许少毅 1尚思旭 1庞福滨 2谷相宏 3邓星 1杨坤4

作者信息

  • 1. 中国矿业大学机电工程学院,江苏 徐州 221116
  • 2. 国网江苏省电力有限公司电力科学研究院,江苏 南京 211103
  • 3. 国网江苏省电力有限公司超高压分公司,江苏 南京 211102
  • 4. 长飞光纤光缆股份有限公司,湖北 武汉 430073
  • 折叠

摘要

Abstract

Aiming at the problem that the dynamic response and signal-to-noise ratio(SNR)of the optical fiber current transformer system are affected by the coupling of system parameters,this paper proposes a fiber optic current transformer(FOCT)optimization design method under multi-objective parameter optimization to achieve a comprehensive improvement in the performance of the transformer.Firstly,FOCT dynamic response analysis and SNR analysis are conducted to study the influence laws of system parameters on the step response index and SNR,and the optimized parameters are determined.Then,based on the multi-objective particle swarm optimization(MOPSO)algorithm,forward gain optimization is carried out under the dual targets of step response and overshoot,and system parameter optimization under the SNR target based on the PSO algorithm is conducted with the forward gain as the constraint to determine the parameter combination of the transformer system for synchronous optimization of step response and SNR.Finally,a FOCT is designed based on the combination of system parameters,and SNR tests and step response tests are carried out to compare and verify the FOCT performance before and after optimization.Experimental results demonstrate that after optimization,the FOCT's step response rise time is shorter than 50 μs,and the transformer's SNR can reach 21.5 dB under 10 A current.Furthermore,the FOCT meets the accuracy requirement of 0.2S class.

关键词

光纤电流互感器(FOCT)/动态模型/阶跃响应/噪声模型/信噪比(SNR)优化/多目标粒子群优化(MOPSO)算法

Key words

fiber optic current transformer(FOCT)/dynamic model/step response/noise model/signal-to-noise(SNR)optimization/multi-objective particle swarm optimization(MOPSO)algorithm

分类

信息技术与安全科学

引用本文复制引用

许少毅,尚思旭,庞福滨,谷相宏,邓星,杨坤..多目标参数寻优下的光纤电流互感器优化设计[J].电力工程技术,2026,45(8):82-92,11.

基金项目

国家自然科学基金资助项目(52174153) (52174153)

国家电网有限公司科技项目"纯光CT高容错关键技术研究及应用"(5500-202355175A-1-1-ZN) (5500-202355175A-1-1-ZN)

电力工程技术

2096-3203

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