基于小波熵的配电网线路运行工况特征基因库构建OA
Construction of a distribution network line operating condition characteristic gene bank based on wavelet entropy
为了提高对配电网线路故障的识别诊断效率,提升供电可靠性,本文采用一种基于小波熵的配电网线路运行工况特征基因库构建方法.首先,搭建配电网线路仿真模型;然后,提取各工况运行数据,搭建基于小波熵的特征提取算法模型;最后,基于特征数据开发特征基因库.仿真结果表明,基于小波熵的特征提取算法和特征基因库能有效地识别与诊断配电网线路的多种运行工况,满足配电网可持续发展的要求.
In order to improve the efficiency of identification and diagnosis of distribution network line faults and improve the reliability of power supply,this paper adopts a method based on wavelet entropy to construct a distribution network line operating condition characteristic gene bank.Firstly,the distribution network line simulation model is built to extract the operation data,and then,combined with the effective simulation data,the feature extraction algorithm model based on wavelet entropy is built,and finally,the characteristic gene bank is developed based on the feature data.The simulation results show that the feature extraction algorithm and characteristic gene bank based on wavelet entropy can effectively identify and diagnose a variety of operating conditions of distribution network lines,which meets the requirements of sustainable development of distribution network.
王良锋;李瑞;尚筱雅;李沁雪;邱泽锦
广州航海学院低空装备与智能控制学院,广州 510700广州航海学院低空装备与智能控制学院,广州 510700广州航海学院低空装备与智能控制学院,广州 510700广州航海学院低空装备与智能控制学院,广州 510700广州航海学院低空装备与智能控制学院,广州 510700
配电网线路小波熵特征提取特征基因库
distribution network lineswavelet entropyfeature extractioncharacteristic gene bank
《电气技术》 2025 (2)
35-41,48,8
国家自然科学基金-青年科学基金项目(62006052)广州市科技计划项目(202102020663)配网设备快速运维关键技术研究(2019KY046)广州市高等教育教学质量与教学改革工程课程教研室项目(2022KCJYS012)大学生创新创业训练计划项目(S20240138)
评论