计算机科学 ›› 2022, Vol. 49 ›› Issue (10): 132-137.doi: 10.11896/jsjkx.210900139
徐四勤1, 黄向前1, 杨昆1, 张占龙2, 甘鹏飞2
XU Si-qin1, HUANG Xiang-qian1, YANG Kun1, ZHANG Zhan-long2, GAN Peng-fei2
摘要: 电缆接头绝缘劣化会导致热损耗的增加进而引起接头表面温度上升,同时表面温度受到运行负荷、环境温度等多方面因素的影响,总体上劣化程度与温度数据表现出非线性分布的情况。为此,提出了基于改进麻雀搜索算法(Improved Sparrow Search Algorithm,ISSA)优化的核极限学习机(Kernel Based Extreme Learning Machine,KELM)的电缆接头绝缘劣化程度预测方法。首先通过实验来验证电缆接头多物理耦合模型的计算准确性,并通过耦合计算模型来获取不同劣化程度、载荷和环境温度下的电缆接头表面温度分布,用于构建训练集、验证集和测试集。其次基于鸟群算法(Bird Swarm Algorithm,BSA)中飞行行为的思想优化麻雀搜索算法,保证了全局收敛又不失种群多样性,有效跳出局部最优。然后通过ISSA算法对KELM的惩罚系数C和核函数σ进行优化,得到绝缘劣化状态预测模型。研究结果表明,改进麻雀算法优化的核极限学习机(ISSA-KELM)的预测效果明显优于其他模型。
中图分类号:
[1]ZHOU L Y,CAO J P,WANG S H,et al.Comprehensive StateEvaluation of High Voltage Cable Based on Multi-state Variables Characteristics and Variation Law[J].High Voltage Engineering,2019,45(12):3954-3963. [2]CAVALLINI A,MONTANARI G C,PULETTI F,et al.A new methodology for the identification of PD in electrical apparatus:properties and applications[J].IEEE Transactions on Dielectrics and Electrical Insulation,2005,12(2):203-215. [3]GAO Y P,TAN T Y,LIU K P,et al.Research on Temperature Retrieval and Fault Diagnosis of Cable Join[J].High Voltage Engineering,2016,42(2):535-542. [4]ZHANG C,LI H F,YANG Y B,et al.Research Progress in Ageing,Evaluation,and Rejuvenation of XLPE Cable Insulation[J].Insulating Materials,2020,53(7):1-11. [5]LI P.Study on Tangent Test Methods of Dielectric Loss inXLPE Cable Insulation[J].Electric Engineering,2019,(17):127-128,132. [6]ZHU X J,MENG Z Z,WANG H M,et al.Dielectric Properties of Operated High Voltage XLPE Power Cable[J].High Voltage Engineering,2015,41(4):1090-1095. [7]ZHAO H S,MENG H,WANG K,et al.Research on partial discharge trend analysis and early warning method of 10 kV cable connector[J/OL].Electrical Measurement & Instrumentation.http://kns.cnki.net/kcms/detail/23.1202.TH.20210224.1457.009.html [8]CHEN J,HU L B,LIU Y,et al.Study on Interface Pressure Measurement of Cable Connector Based on Piezoelectric Sensor[J].Piezoelectrics and Acoustooptics,2021,(1):125-129. [9]PANG D,WANG C B,WANG X Y,et al.Online Temperature Monitoring of High-voltage Cable Joints with Built-in SAW Sensor[J].Piezoelectrics and Acoustooptics,2021,43(4):505-510. [10]ZHANG Y S,YANG A H,LUO Y M,et al.An early warning method for the temperature of the cable joints based on improved BP nerve network[J].Science & Technology Information,2019,17(3):31-33,35. [11]HE B L,HUANG Y,YE T,et al.Temperature prediction ofpower cable joint based on PSO-LSSVM predict model[J].Electric Power Engineering Technology,2019,38(1):31-35. [12]NI G Z.Engineering electromagnetic field[M].Beijing:Higher Education Press,2009. [13]LIANG Z B,XU M Z,CHEN F,et al.Thermal Characteristics of EHV Submarine Cable in Typical Layout Environments[J].High Voltage Engineering,2019,45(11):3452-3458. [14]HU L X,OUYANG B H,LIU Z X,et al.Improvement in Current Carrying Capacity of Landing Section of AC 500 kV Submarine Cable[J].High Voltage Engineering,2019,45(11):3421-3428. [15]FAN Y A,PENG C A,HL B,et al.3-D thermal analysis andcontact resistance evaluation of power cable joint[J].Applied Thermal Engineering,2016,93:1183-1192. [16]HUANG G B,ZHOU H,DING X,et al.Extreme learning machine for regression and multiclass classification[J].IEEE Transactions on Systems,Man,and Cybernetics Part B,2011,42(2):513-529. [17]XUE J,SHEN B.A novel swarm intelligence optimization approach:sparrow search algorithm[J].Systems Science & Control Engineering an Open Access Journal,2020,8(1):22-34. [18]XUE J K.Research and application of a novel swarm intelligence optimization technique:Sparrow search algorithm[D].Shanghai:Donghua University,2019. [19]XU Z,HU Z,ZHAO L,et al.Application of temperature field modeling in monitoring of optic-electric composite submarine cable with insulation degradation[J].Measurement,2018,133:479-494. |
[1] | 单晓英, 任迎春. 基于改进麻雀搜索优化支持向量机的渔船捕捞方式识别 Fishing Type Identification of Marine Fishing Vessels Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm 计算机科学, 2022, 49(6A): 211-216. https://doi.org/10.11896/jsjkx.220300216 |
[2] | 李丹丹, 吴宇翔, 朱聪聪, 李仲康. 基于多种改进策略的改进麻雀搜索算法 Improved Sparrow Search Algorithm Based on A Variety of Improved Strategies 计算机科学, 2022, 49(6A): 217-222. https://doi.org/10.11896/jsjkx.210700032 |
[3] | 江妍, 马瑜, 梁远哲, 王原, 李光昊, 马鼎. 基于分数阶麻雀搜索优化OTSU肺组织分割算法 Lung Tissue Segmentation Algorithm:Fractional Order Sparrow Search Optimization for OTSU 计算机科学, 2021, 48(6A): 28-32. https://doi.org/10.11896/jsjkx.200900176 |
[4] | 李栋, 薛惠锋. 基于混合模型的中长期降水量预测 Forecasting of Medium and Long Term Precipitation Based on Hybrid Model 计算机科学, 2018, 45(9): 271-278. https://doi.org/10.11896/j.issn.1002-137X.2018.09.045 |
[5] | 陈晓青,陆慧娟,关伟,郑文斌. 基于探测粒子群的小波核极限学习机算法 Wavelet Kernel Extreme Learning Machine Algorithm Based on Detecting Particle Swarm Optimization 计算机科学, 2016, 43(Z6): 77-80. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.017 |
|