首页|基于模糊判据的接地网腐蚀程度诊断方法研究

基于模糊判据的接地网腐蚀程度诊断方法研究

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电力设备(如杆塔、变压器、配电房等)的接地网严重侵蚀会突发停电、漏电等事故.为了进行电力设备接地网腐蚀情况诊断,提出了一种接地网腐蚀程度诊断方法.基于电磁感应原理,利用CDEGS软件对接地网导体不同腐蚀情况进行了仿真.结合仿真数据、模糊判据方法,明确了不同腐蚀程度下接地网正上方地表磁感应强度分布规律.对不同程度腐蚀时磁感应强度与理想状态(即不存在腐蚀)下的磁感应强度进行了贴近度计算,进而对接地网导体腐蚀程度进行了等级划分.通过对接地网模型施加正弦激励电流,基于电磁感应原理并利用模糊判据对接地网导体故障进行诊断.该方法为接地网缺陷检测提供了理论指导,可应用于实际工程.
Research on Diagnosis Method of Corrosion Degree of Grounding Network Based on Fuzzy Criterion
Severe erosion of the grounding network of power equipment(e.g.,towers,transformers,distribution rooms,etc.)can result in sudden outages,leakage,and other accidents.To carry out the diagnosis of the corrosion of grounding network of power equipment,a method of diagnosing the degree of corrosion of grounding network is proposed.Based on the principle of electromagnetic induction,the use of CDEGS software on the grounding network conductor simulation of different corrosion conditions.Combined with simulation data and fuzzy criterion method,a different degree of corrosion under the grounding network directly above the surface of the magnetic induction intensity distribution law is definited.The closeness of magnetic induction intensity under different degrees of corrosion to the magnetic induction intensity under the ideal state(i.e.,the absence of corrosion)are calculated,and then on the grounding network conductor,the degree of corrosion is classified.By applying sinusoidal excitation current to the grounding network model,the diagnosis of grounding network conductor faults is carried out based on the principle of electromagnetic induction and the use of fuzzy criteria.This method provides theoretical guidance for the detection of defects in the grounding network,and can be applied to practical engineering.

Power equipmentGrounding networkSinusoidal excitation currentFuzzy criterionCDEGS softwareCorrosion diagnosisElectromagnetic inductionCloseness

辛明勇、徐长宝、骆柏锋、徐振恒、刘子轩、鲁彩江

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贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002

南方电网数字电网研究院有限公司,广东 广州 511365

西南交通大学机械工程学院,四川 成都 610031

电力设备 接地网 正弦激励电流 模糊判据 CDEGS软件 腐蚀诊断 电磁感应 贴近度

贵州省科技创新人才技术团队基金四川省杰出青年科技人才基金贵州电网有限责任公司科技项目

黔科合平台人才[2020]50152020JDJQ0038GZKJXM20210083

2024

自动化仪表
中国仪器仪表学会 上海工业自动化仪表研究院

自动化仪表

CSTPCD
影响因子:0.655
ISSN:1000-0380
年,卷(期):2024.45(3)
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