[1]吴 杨,姚 刚,徐 胜,等.基于差分进化 Takagi-Sugeno 模糊神经网络的电网故障诊断模型[J].机械与电子,2023,41(11):10-16.
　WU Yang,YAO Gang,XU Sheng,et al.Fault Diagnosis Model of Power Grid Based on Differential Evolution Takagi-Sugeno Fuzzy Neural Network[J].Machinery & Electronics,2023,41(11):10-16.
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基于差分进化 Takagi-Sugeno 模糊神经网络的电网故障诊断模型()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
41
期数:
2023年11期
页码:
10-16
栏目:
设计与研究
出版日期:
2023-11-23

文章信息/Info

Title:
Fault Diagnosis Model of Power Grid Based on Differential Evolution Takagi-Sugeno Fuzzy Neural Network
文章编号:
1001-2257 ( 2023 ) 11-0010-07
作者:
吴 杨 1 ; 姚 刚 1 ; 徐 胜 1 ; 杜 江 1 ; 陈锦龙 1 ; 李长松 2 ; 熊国江 2
1. 贵州电网有限责任公司电力调度控制中心,贵州 贵阳 550002 ;
2. 贵州大学电气工程学院,贵州 贵阳 550025
Author(s):
WU Yang1 ;  YAO Gang1 ;  XU Sheng1 ;  DU Jiang1 ;  CHEN Jinlong1 ;  LI Changsong2 ;  XIONG Guojiang2
( 1.Power Grid Dispatching and Control Center , Guizhou Power Grid Co. , Ltd. , Guiyang 550002 , China ; 2.College of Electrical Engineering , Guizhou University , Guiyang 550025 , China )
关键词:
电网故障诊断;  Takagi-Sugeno 模糊神经网络; 差分进化; 并行诊断; 容错性
Keywords:
fault diagnosis of power grid ;  Takagi-Sugeno fuzzy neural network ;  differential evolution ;  parallel diagnosis ;  fault tolerance
分类号:
TM76
文献标志码:
A
摘要:
为有效处理电网故障中存在的不确定性,提出一种基于改进差分进化 Takagi-Sugeno 模糊神经网络的电网故障诊断模型。该模型基于分布式并行处理的思路,根据配置的继电保护和断路器对每个元件而非整个电网建立相应故障诊断模型。为提高诊断模型的准确性,对差分进化算法的缩放因子和交叉率进行自适应改进,并将改进算法用于优化各模型的前件参数和后件参数。仿真结果表明,与其他神经网络相比,该模型能够成功诊断存在拒动、误动的复杂故障,提高了电网故障诊断的容错性。
Abstract:
To effectively deal with the uncertainties in grid faults , an improved differential evolution Takagi-Sugeno fuzzy neural network grid fault diagnosis method is presented.Based on the idea of distributed parallel processing , the diagnosis model is constructed for each element instead of the whole grid according to the configured protective relays and circuit breakers.To improve the model accuracy , both cross over rate and scaling factor of differential evolution are modified adaptively.Then the improved differential evolution is utilized to optimize the structure parameters and consequent parameters of the diagnosis model.Simulation results indicate that the proposed model can successfully diagnose complex faults with mal operation and refused operation and improve the fault tolerance of fault diagnosis.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2023-05-07
基金项目:国家自然科学基金资助项目( 51907035 )
作者简介:吴 杨 ( 1994- ),男,贵州贵阳人,硕士,工程师,研究方向为电力系统调度及智能化应用。
更新日期/Last Update: 2023-12-13