期刊文献+

接地网多支路腐蚀诊断及算法研究

Research on Grounding Grid Corrosion Diagnosis Based on Least Squares-Tikhonov Algorithm
在线阅读 下载PDF
导出
摘要 对变电站接地网的腐蚀情况进行非侵入式诊断是电力领域的重要研究方向之一。以往基于电网络理论的研究中,由于诊断方程的欠定性与病态性,存在腐蚀程度诊断误差较大的问题,同时未证明该方法对于接地网多支路腐蚀诊断的有效性。为了解决上述问题,创新地通过Multisim仿真软件分离“内网”与“外网”来验证电网络法对于多支路腐蚀诊断是否可行,并提出了一种最小二乘-Tikhonov算法对诊断方程进行修正。通过仿真验证和现有算法对比,结果表明以上算法下求解值最接近预设值,证明了电网络法在接地网存在多条腐蚀支路的情况下进行诊断的可行性以及所提算法对于提高诊断精度的有效性。 Non-invasive diagnosis of the corrosion situation of substation grounding grids is one of the important research directions in the power field.In previous research based on electrical network theory,due to the underdeter⁃mined and ill-conditioned nature of the diagnostic equation,there is a problem of large diagnosis errors in the corro⁃sion degree.At the same time,the effectiveness of this method for the diagnosis of multi-branch corrosion of ground⁃ing grids has not been proven.In order to solve this problem,the paper innovatively uses Multisim simulation software to separate"internal network"and"external network"to verify whether the electrical network method is feasible for multi-branch corrosion diagnosis,and proposes a least squares-Tikhonov algorithm to correct the diagnosis equation.Through simulation and comparison with the existing algorithm,the results show that the solution value of this algo⁃rithm is closest to the preset value,which proves the feasibility of the electric network method for diagnosis in the case of multiple corroded branches in the ground network and the effectiveness of the proposed algorithm for improving the diagnosis accuracy.
作者 张维哲 张承乾 刘建生 ZHANG Wei-zhe;ZHANG Cheng-qian;LIU Jian-sheng(College of Electrical Information,Southwest Petroleum University,Chengdu Sichuan 610000,China)
出处 《计算机仿真》 2025年第7期422-427,共6页 Computer Simulation
基金 智能电网四川省重点实验室开放基金项目(2021-IEPGKLSP-KFYB02) 智能电网四川省重点实验室开放基金项目(2022-IEPGKLSP-KFYB02)。
关键词 接地网 腐蚀 电网络 仿真 模型 Grounding grid Corrosion Electricity network method Simulation Model
  • 相关文献

参考文献6

二级参考文献44

共引文献96

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部