[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

WO2024021375A1 - 一种开关柜老化在线监测方法及系统 - Google Patents

一种开关柜老化在线监测方法及系统 Download PDF

Info

Publication number
WO2024021375A1
WO2024021375A1 PCT/CN2022/132730 CN2022132730W WO2024021375A1 WO 2024021375 A1 WO2024021375 A1 WO 2024021375A1 CN 2022132730 W CN2022132730 W CN 2022132730W WO 2024021375 A1 WO2024021375 A1 WO 2024021375A1
Authority
WO
WIPO (PCT)
Prior art keywords
gas
monitoring
aging
simulated discharge
switch cabinet
Prior art date
Application number
PCT/CN2022/132730
Other languages
English (en)
French (fr)
Inventor
方正云
王韧
杨子力
李佳
朱全聪
杨文呈
谢学刚
黄继盛
Original Assignee
云南电网有限责任公司临沧供电局
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 云南电网有限责任公司临沧供电局 filed Critical 云南电网有限责任公司临沧供电局
Publication of WO2024021375A1 publication Critical patent/WO2024021375A1/zh

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/003—Environmental or reliability tests
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52—Testing for short-circuits, leakage current or ground faults
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/56—Testing of electric apparatus

Definitions

  • This application relates to the technical field of electric power equipment, and specifically to an online monitoring method and system for switch cabinet aging.
  • High-voltage switchgear is a kind of power equipment with a wide range of applications. It mainly plays the role of switching, control or protection in power generation, transmission, distribution, power conversion and consumption in the power system. High-voltage switchgear has been widely used in power supply systems due to its fully enclosed structure, good interchangeability, easy installation, perfect operating performance and misoperation prevention functions, and convenient maintenance and repair.
  • the contamination on the surface of the insulating parts becomes a conductive or semi-conductive layer under the moisture of condensation.
  • the leakage current on the surface increases, causing local overheating, which in turn causes Insulation aging accelerates, and insulation aging further causes leakage current to increase, thus creating a vicious cycle.
  • the existing technology provides a method for online monitoring of the aging of switch cabinets based on sound and temperature.
  • both sound and temperature can only be effectively monitored when severe discharge occurs.
  • the monitoring time period is relatively late, making it difficult to detect serious faults. Early warning.
  • This application provides an online monitoring method and system for the aging of switch cabinets, which monitors and analyzes the aging of insulation parts and provides real-time alarms to achieve early warning and prevention.
  • the first aspect of this application provides an online monitoring method for switch cabinet aging, including:
  • the aging monitoring gas in the switch cabinet is monitored in real time to obtain gas monitoring concentration data, and if the gas monitoring concentration data is greater than the gas concentration threshold, an alarm is issued.
  • each simulated discharge scenario includes a simulated discharge voltage and a corresponding simulated discharge time
  • each simulated discharge scenario also includes multiple simulated discharge voltages and corresponding staged simulated discharge times.
  • the simulated discharge of one or more insulation components in the switch cabinet includes:
  • the aging monitoring gas is hydrogen, and the gas concentration threshold is 10 ppm.
  • the simulated discharge of one or more insulation components in the switch cabinet includes:
  • the second aspect of this application provides an online monitoring system for switch cabinet aging, including multiple gas detectors, an online monitoring controller and a simulated discharge module located in the switch cabinet;
  • the simulated discharge module is used to perform the following steps: preset multiple simulated discharge voltages and corresponding multiple simulated discharge times to obtain multiple simulated discharge scenarios, and based on the multiple simulated discharge scenarios, perform one of the switch cabinet Or a variety of insulating parts are used to simulate discharge, and the leakage current and generated gas under each simulated discharge scenario are measured, and the corresponding records between simulated discharge scenarios, leakage current, gas types and gas concentrations are obtained. According to the corresponding records, the aging is selected. Monitor gases and corresponding gas concentration thresholds;
  • the multiple gas detectors are used to monitor the aging monitoring gas in the switch cabinet in real time, obtain the concentration data detected by each gas detector, and send the multiple concentration data to the online monitoring controller;
  • the online monitoring controller is used to determine the gas monitoring concentration data corresponding to the aging monitoring gas based on the received multiple concentration data, and determine whether to trigger an alarm based on the gas monitoring concentration data and the gas concentration threshold.
  • the online monitoring controller is further configured to:
  • the concentration data detected by multiple gas detectors are averaged to obtain the gas monitoring concentration data
  • the online monitoring controller is further configured to:
  • the gas detector is a sensor, and a plurality of the sensors are evenly distributed on the top of the switch cabinet;
  • the senor When the aging monitoring gas is hydrogen, the sensor is a hydrogen monitoring sensor.
  • the hydrogen monitoring sensor uses a differential absorption spectrum analysis method to measure hydrogen.
  • the spectral band of the differential absorption spectrum analysis method is determined to be 270-310 nm.
  • the differential absorption spectrum analysis method is determined to be 270-310 nm.
  • the absorption spectrum analysis method uses the Beer-Lambert law for the hydrogen absorption spectrum characteristics that combine continuous and periodic oscillation spectra.
  • the switch cabinet aging online monitoring system also includes an intelligent gateway, a 4G/5G communication module and a remote monitoring center.
  • the trigger alarm includes:
  • the online monitoring controller sends the gas monitoring concentration data and alarm signals to an intelligent gateway or a 4G/5G communication module for transmission to the remote monitoring center by the intelligent gateway or the 4G/5G communication module.
  • this application simulates discharge by selecting insulation parts in the switch cabinet. Different simulated discharge voltages and simulated discharge times are used during simulated discharge, different simulated discharge scenarios are preset, and gases in each simulated discharge scenario are collected. Carry out detection and analysis, and finally obtain the corresponding records between simulated discharge scenarios, leakage current, gas types and gas concentrations. Then, based on the corresponding records, select the aging monitoring gas and the corresponding gas concentration threshold. Install a gas detector for the aging detection gas in the switch cabinet, monitor the aging monitoring gas in the switch cabinet in real time through the gas detector, and obtain gas monitoring concentration data, and if the gas monitoring concentration data is greater than the gas concentration threshold, then Call the police.
  • This application can predict and alarm in advance the aging of insulation parts, and the false alarm rate of this application is very low and the accuracy is high.
  • Figure 1 is a schematic flow chart of the online monitoring method for switch cabinet aging provided by the embodiment of the present application
  • Figure 2 is a schematic structural diagram of the distribution of sensors in the switch cabinet provided by the embodiment of the present application.
  • the first aspect of the embodiment of the present application provides an online monitoring method for switch cabinet aging, including steps S1 to S5.
  • Each simulated discharge scenario in the embodiment of the present application includes a simulated discharge voltage and a corresponding simulated discharge time, and also includes multiple simulated discharge voltages and corresponding staged simulated discharge times.
  • the simulated discharge voltage and simulated discharge time adopted are 20kV voltage applied for 8h.
  • the simulated discharge voltage and simulated discharge time adopted are 20kV voltage applied for 8h and then 15kV voltage applied for 5h. They can be combined within a reasonable range based on actual experience, and the embodiments of the present application are not specifically limited here.
  • the embodiment of this application first counts the failure rates of various insulating parts in historical switch cabinets, sorts the various insulating parts according to the failure rate, and selects one or more insulating parts with a higher failure rate as a test to simulate discharge.
  • elbow and bushing locations with the highest failure rate in the switch cabinet are selected to perform simulated discharge analysis.
  • Four simulated discharge scenarios were used, namely applying 20kV voltage for 8h, applying 20kV voltage for 12h, applying 20kV voltage for 12h and then applying 15kV voltage for 8h, and applying 20kV voltage for 12h and then applying 15kV voltage for 8h and then applying 6kV voltage for 8h.
  • the embodiment of the present application detects the leakage current and generated gas under each simulated discharge scenario, where the generated gas may include a variety of gases, and the embodiment of the present application detects the gas concentration corresponding to each gas.
  • the four serial numbers correspond to four simulated discharge scenarios, and the generated gas types are divided into hydrogen, carbon monoxide, methane and other combustible gases according to the detected concentration of the generated gas.
  • the aging monitoring gas and the corresponding gas concentration threshold are reasonably selected based on actual experience.
  • the insulating parts age, the most hydrogen is produced, and hydrogen is highly sensitive to different simulated discharge scenarios, so hydrogen is selected as the monitoring object and 10 ppm is selected as the alarm point. That is, the aging monitoring gas is hydrogen, and the corresponding gas concentration threshold is 10 ppm.
  • the false alarm rate is very low and the monitoring accuracy is very high.
  • a gas detector for the aging monitoring gas can be installed in the switch cabinet to monitor the aging monitoring gas in the switch cabinet in real time to obtain gas monitoring concentration data, and if the gas monitoring If the concentration data is greater than the gas concentration threshold, an alarm will be issued. For example, if the gas monitoring concentration data of detected hydrogen is greater than 10ppm, an alarm can be issued.
  • the embodiments of the present application also provide an online switch cabinet aging monitoring system, including multiple gas detectors and online monitoring controllers located in the switch cabinet and Analog discharge module, each gas detector is connected to the online monitoring controller.
  • the simulated discharge module is used to perform the following steps: preset multiple simulated discharge voltages and corresponding multiple simulated discharge times, obtain multiple simulated discharge scenarios, and based on the multiple simulated discharge scenarios, perform one or more of the switch cabinets.
  • a variety of insulation parts are simulated to discharge, and the leakage current and generated gas under each simulated discharge scenario are measured.
  • the corresponding records between simulated discharge scenarios, leakage current, gas types and gas concentrations are obtained. According to the corresponding records, aging monitoring is selected. Gas and corresponding gas concentration threshold.
  • the embodiment of the present application installs multiple gas detectors of the aging monitoring gas in the switch cabinet.
  • the gas detectors are used to monitor the aging monitoring gas in the switch cabinet in real time to obtain each
  • the concentration data detected by the gas detector and multiple concentration data are sent to the online monitoring controller.
  • the gas detector is a sensor, and a plurality of the sensors are evenly distributed on the top of the switch cabinet.
  • the aging monitoring gas is hydrogen
  • the sensor is a hydrogen monitoring sensor.
  • Each 110kV substation 35kV switch cabinet is equipped with 4 hydrogen monitoring sensors and a corresponding online monitoring controller.
  • Four hydrogen monitoring sensors monitor the hydrogen in the switch cabinet in real time and regularly transmit the detected hydrogen concentration data to the online detection controller.
  • the embodiments of this application determined the research spectrum band from 270 to 310 nm through the study of the hydrogen gas absorption spectrum. Based on the characteristics of the hydrogen gas absorption spectrum, that is, the combination of continuous and periodic oscillation spectra, the Beer-Lambert law was used to establish an improved differential absorption spectrum analysis. The method measures hydrogen so that the concentration measurement of hydrogen has better linearity and anti-interference ability. Based on this design and establishment of a hydrogen detection experimental research device, the research results show that the hydrogen monitoring indicators of this method are as follows: when the signal-to-noise ratio is 2, the detection limit is 0.1ppm, the zero-point drift is less than 0.2ppm, and the measurement error and range drift are less than 1% . On this basis, a prototype was developed in the embodiment of this application, and the developed hydrogen monitoring sensor is suitable for online on-site measurement.
  • the online monitoring controller determines the gas monitoring concentration data based on the multiple concentration data. For example, the concentration data detected by the multiple gas detectors is taken as the concentration The average value is the obtained gas monitoring concentration data. If the gas monitoring concentration data is greater than the gas concentration threshold, an alarm is triggered. For another example, the maximum value among the concentration data detected by multiple gas detectors is selected as the gas monitoring concentration data. If the gas monitoring concentration data is greater than the gas concentration threshold, an alarm is triggered.
  • the switch cabinet aging online monitoring system in the embodiment of the present application also includes a smart gateway, a 4G/5G communication module and a remote monitoring center.
  • the online monitoring controller can send the gas monitoring concentration data and alarm signals to the smart gateway or 4G/5G communication module to transmit to the remote monitoring center by the smart gateway or the 4G/5G communication module.
  • the remote monitoring center can remotely monitor the switch cabinet in real time and provide real-time remote warning.
  • the embodiment of the present application performs simulated discharge by selecting insulating parts in the switch cabinet. Different simulated discharge voltages and simulated discharge times are used during simulated discharge, different simulated discharge scenarios are preset, and different simulated discharge scenarios are collected. The gases are detected and analyzed, and finally the corresponding records between the simulated discharge scenario, leakage current, gas type and gas concentration are obtained. Then based on the corresponding records, the aging monitoring gas and the corresponding gas concentration threshold are selected. Install a gas detector for the aging detection gas in the switch cabinet, monitor the aging monitoring gas in the switch cabinet in real time through the gas detector, and obtain gas monitoring concentration data, and if the gas monitoring concentration data is greater than the gas concentration threshold, then Call the police. This application can predict and alarm in advance the aging of insulation parts, and the false alarm rate of this application is very low and the accuracy is high.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Power Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Testing Relating To Insulation (AREA)

Abstract

一种开关柜老化在线监测方法及系统，通过选取开关柜内的绝缘件进行模拟放电，模拟放电时采用不同的模拟放电电压和模拟放电时间，预设不同的模拟放电场景，收集每种模拟放电场景下的气体进行检测分析，最终得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，再根据对应记录，选取老化监测气体和对应的气体浓度阈值。在开关柜内安装老化检测气体的气体检测器，通过气体检测器实时监测开关柜内老化监测气体，得到气体监测浓度数据，如果气体监测浓度数据大于气体浓度阈值，则进行报警。通过监测方法和系统将绝缘件的老化做到提前预测和提前报警，并且误报警率很低，准确度高。

Description

一种开关柜老化在线监测方法及系统
本申请要求在2022年7月26日提交中国专利局、申请号为202210886391.6、发明名称为“一种开关柜老化在线监测方法及系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及电力设备技术领域，具体涉及一种开关柜老化在线监测方法及系统。
背景技术
高压开关柜是一种应用范围广泛的电力设备，其主要是起在电力系统中发电、输电、配电、电能转换和消耗中起通断、控制或保护等作用。由于高压开关柜具有全封闭结构、良好的互换性、容易安装、操作性能和防误操作功能完善以及检修维护方便等特点，已广泛应用于供电系统。
随着高压开关柜向小型化方向发展，开关柜的外形尺寸及占地面积大大缩小，带电体之间、带电体与地电位之间的距离也随之缩小。由于制造和运行环境等原因，现有高压开关柜大多采用底板开通风口，后板和顶板密封的设计，除湿设备通常采用平板式加热器，效果不佳。加上运行条件差，电缆沟内部积水严重而且通风不畅，特别是高温、高湿和昼夜温差大的地区，极易在固体绝缘材料表面形成凝露。此外，某些开关柜密封不严造成绝缘件表面污秽严重，绝缘件表面的污秽在凝露的湿润下成为导电或半导电层，其表面的泄露电流增大，引起局部过热，局部过热进而引起绝缘老化加速，绝缘老化更进一步引起泄露电流增大，进而恶性循环。
现有技术提供一种根据声音和温度对开关柜老化进行在线监测的方法，然而声音和温度均是在发生严重放电情况下才能有效监测，其监测的时间段靠后，很难在发生严重故障前提前预警。
发明内容
本申请提供一种开关柜老化在线监测方法及系统，监测和分析绝缘件老化并实时报警，做到提前预警和提前预防。
本申请第一方面提供一种开关柜老化在线监测方法，包括：
预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景；
基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电；
检测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录；
根据所述对应记录，选取老化监测气体和对应的气体浓度阈值；
实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。
可选的，所述每种模拟放电情景包括一种模拟放电电压和对应的一种模拟放电时间，所述每种模拟放电情景还包括多种模拟放电电压和对应阶段性的模拟放电时间。
可选的，所述对开关柜中的一种或多种绝缘件进行模拟放电，包括：
统计历史开关柜中多种绝缘件的故障率；
根据故障率对多种绝缘件进行排序；
根据排序选取其中一种或多种绝缘件进行模拟放电。
可选的，所述老化监测气体为氢气，所述气体浓度阈值为10ppm。
可选的，所述对开关柜中的一种或多种绝缘件进行模拟放电，包括：
选取肘型头和套管位置进行模拟放电。
本申请第二方面提供一种开关柜老化在线监测系统，包括位于开关柜内的多个气体检测器和在线监测控制器以及模拟放电模块；
所述模拟放电模块用于执行以下步骤：预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景，基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电，测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，根据所述对应记录，选取老化监测气体和对应的气体浓度阈值；
所述多个气体检测器用于实时监测开关柜内老化监测气体，得到每个气体检测器检测的浓度数据，以及多个浓度数据发送至所述在线监测控制器；
所述在线监测控制器用于根据接收的多个浓度数据确定老化监测气体对应的气体监测浓度数据，以及根据气体监测浓度数据和气体浓度阈值，判断是否触发报警。
可选的，所述在线监测控制器进一步被配置为：
将多个气体检测器检测的浓度数据取浓度平均值，得到的气体监测浓度数据；
如果所述的气体监测浓度数据大于所述气体浓度阈值，则触发报警。
可选的，所述在线监测控制器进一步被配置为：
选取多个气体检测器检测的浓度数据中最大值作为气体监测浓度数据；
如果所述气体监测浓度数据大于所述气体浓度阈值，则触发报警。
可选的，所述气体检测器为传感器，多个所述传感器均匀分布在开关柜顶部；
当老化监测气体为氢气时，所述传感器为氢气监测传感器，所述氢气监测传感器采用差分吸收光谱分析方法对氢气测量，所述差分吸收光谱分析方法的光谱波段确定为270～310nm，所述差分吸收光谱分析方法针对连续和周期震荡光谱结合的氢气吸收光谱特性，利用Beer-Lambert定律。
可选的，所述开关柜老化在线监测系统还包括智能网关、4G/5G通信模块和远程监测中心，所述触发报警包括：
所述在线监测控制器将所述气体监测浓度数据和报警信号发送至智能网关或4G/5G通信模块，以由所述智能网关或所述4G/5G通信模块传输至所述远程监测中心。
由以上方案可知，本申请通过选取开关柜内的绝缘件进行模拟放电，模拟放电时采用不同的模拟放电电压和模拟放电时间，预设不同的模拟放电场景，收集每种模拟放电场景下的气体进行检测分析，最终得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，再根据所述对应记录，选取老化监测气体和对应的气体浓度阈值。在开关柜内安装该老化检测气体的气体检测器，通过气体检测器实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。本申请将绝缘件的老化做到提前预测和提前报警，并且本申请的误报警率很低，准确度高。
附图说明
图1为本申请实施例提供的开关柜老化在线监测方法的流程示意图；
图2为本申请实施例提供的开关柜内传感器分布的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整的描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
参见图1，本申请实施例第一方面提供一种开关柜老化在线监测方法，包括步骤 S1至步骤S5。
S1、预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景。
本申请实施例的每种模拟放电情景包括一种模拟放电电压和对应的一种模拟放电时间，还包括多种模拟放电电压和对应阶段性的模拟放电时间，例如，在一种模拟放电场景下，采取的模拟放电电压和模拟放电时间为施加20kV电压8h，又例如，在另一种模拟放电场景下，采取的模拟放电电压和模拟放电时间为依次施加20kV电压8h后15kV电压5h。可以根据实际经验在合理的范围内组合，本申请实施例在此不作具体限制。
S2、基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电。
本申请实施例首先统计历史开关柜中多种绝缘件的故障率，根据故障率对多种绝缘件进行排序，选取其中故障率较高的一种或多种绝缘件作为试验进行模拟放电。
示例性地，选取开关柜中故障率最高的肘型头和套管位置，进行模拟放电分析。采用四种模拟放电场景，分别为施加20kV电压8h、施加20kV电压12h、依次施加20kV电压12h后施加15kV电压8h以及依次施加20kV电压12h后施加15kV电压8h后施加6kV电压8h。
S3、检测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录。
本申请实施例检测每种模拟放电情景下的泄露电流和产生气体，其中，产生气体可能包括多种气体，本申请实施例检测每种气体对应的气体浓度。
示例性地，如下表1所示，4个序号对应四种模拟放电场景，根据检测的产生气体的浓度将产生的气体种类分为氢气、一氧化碳、甲烷和其他可燃气体。
表1模拟放电的对应记录
Figure PCTCN2022132730-appb-000001
S4、根据所述对应记录，选取老化监测气体和对应的气体浓度阈值。
根据模拟放电的对应记录，根据实际经验合理地选择老化监测气体和对应的气体浓度阈值。
示例性地，如表1所述，在绝缘件发生老化时，产生的氢气最多，且氢气的对于不同的模拟放电情景的敏感度较高，所以选择氢气作为监测对象，选取10ppm作为报警点，即老化监测气体为氢气，对应的气体浓度阈值为10ppm。此外，由于氢气是非大气中常见的气体，所以误报警率很低，监测的准确率很高。
S5、实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。
在确定老化监测气体和对应的气体浓度阈值后，可以在开关柜内安装该老化监测气体的气体检测器，实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。比如检测到的氢气的气体监测浓度数据大于10ppm，则可进行报警。
为了更加清楚地说明本申请实施例提供的开关柜老化在线监测方法，本申请实施例还提供一种开关柜老化在线监测系统，包括位于开关柜内的多个气体检测器和在线监测控制器以及模拟放电模块，每个气体检测器均与在线监测控制器连接。
该模拟放电模块用于执行以下步骤：预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景，基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电，测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，根据所述对应记录，选取老化监测气体和对应的气体浓度阈值。
该模拟放电模块的具体细节可以参考前述的开关柜老化在线监测方法，本申请实施例在此不再赘述。
在确定老化监测气体和对应的气体浓度阈值之后，本申请实施例在开关柜内安装多个该老化监测气体的气体检测器，该气体检测器用于实时监测开关柜内老化监测气体，得到每个气体检测器检测的浓度数据，以及多个浓度数据发送至所述在线监测控制器。
在一部分优选实施例中，气体检测器气体检测器为传感器，多个所述传感器均匀分布在开关柜顶部。参见图2，老化监测气体为氢气，所述传感器为氢气监测传感器，每个110kV变电站35kV开关柜装有4个氢气监测传感器和一个对应的在线监测控制 器。4个氢气监测传感器实时监测开关柜的氢气，定时将检测的氢气浓度数据传输至在线检测控制器。
进一步的，本申请实施例通过对氢气体吸收光谱的研究，确定研究光谱波段270至310nm，针对氢气吸收光谱特征即连续和周期震荡光谱结合，利用Beer-Lambert定律，建立改进的差分吸收光谱分析方法对氢气测量，使氢气的浓度测量有更好的线性度和抗干扰能力。基于此设计并建立氢气检测实验研究装置，研究结果表明该方法对氢气监测指标如下：在信噪比为2时的探测限为0.1ppm，零点漂移小于0.2ppm，测量误差和量程飘移小于1％。在此基础上，本申请实施例研制样机，开发的氢气监测传感器适合用于在线现场测量。
在多个气体检测器将多个浓度数据发送至所述在线监测控制器后，在线监测控制器根据多个浓度数据确定气体监测浓度数据，例如，将多个气体检测器检测的浓度数据取浓度平均值，得到的气体监测浓度数据，如果所述的气体监测浓度数据大于所述气体浓度阈值，则触发报警。又例如，选取多个气体检测器检测的浓度数据中最大值作为气体监测浓度数据，如果所述气体监测浓度数据大于所述气体浓度阈值，则触发报警。
本申请实施例的开关柜老化在线监测系统还包括智能网关、4G/5G通信模块和远程监测中心，在线监测控制器可以将所述气体监测浓度数据和报警信号发送至智能网关或4G/5G通信模块，以由所述智能网关或所述4G/5G通信模块传输至所述远程监测中心。如此，远程监测中心可以远程对开关柜实时监测，远程即时预警。
由以上方案可知，本申请实施例通过选取开关柜内的绝缘件进行模拟放电，模拟放电时采用不同的模拟放电电压和模拟放电时间，预设不同的模拟放电场景，收集每种模拟放电场景下的气体进行检测分析，最终得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，再根据所述对应记录，选取老化监测气体和对应的气体浓度阈值。在开关柜内安装该老化检测气体的气体检测器，通过气体检测器实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。本申请将绝缘件的老化做到提前预测和提前报警，并且本申请的误报警率很低，准确度高。

Claims (10)

  1. 一种开关柜老化在线监测方法，其特征在于，包括：
    预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景；
    基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电；
    检测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录；
    根据所述对应记录，选取老化监测气体和对应的气体浓度阈值；
    实时监测开关柜内老化监测气体，得到气体监测浓度数据，以及，如果所述气体监测浓度数据大于所述气体浓度阈值，则进行报警。
  2. 根据权利要求1所述的一种开关柜老化在线监测方法，其特征在于，所述每种模拟放电情景包括一种模拟放电电压和对应的一种模拟放电时间，所述每种模拟放电情景还包括多种模拟放电电压和对应阶段性的模拟放电时间。
  3. 根据权利要求1所述的一种开关柜老化在线监测方法，其特征在于，所述对开关柜中的一种或多种绝缘件进行模拟放电，包括：
    统计历史开关柜中多种绝缘件的故障率；
    根据故障率对多种绝缘件进行排序；
    根据排序选取其中一种或多种绝缘件进行模拟放电。
  4. 根据权利要求1所述的一种开关柜老化在线监测方法，其特征在于，所述老化监测气体为氢气，所述气体浓度阈值为10ppm。
  5. 根据权利要求1所述的一种开关柜老化在线监测方法，其特征在于，所述对开关柜中的一种或多种绝缘件进行模拟放电，包括：
    选取肘型头和套管位置进行模拟放电。
  6. 一种开关柜老化在线监测系统，其特征在于，包括位于开关柜内的多个气体检测器和在线监测控制器以及模拟放电模块；
    所述模拟放电模块用于执行以下步骤：预设多种模拟放电电压和对应的多种模拟放电时间，得到多种模拟放电情景，基于所述多种模拟放电情景，对开关柜中的一种或多种绝缘件进行模拟放电，测每种模拟放电情景下的泄露电流和产生气体，得到模拟放电情景、泄露电流、气体种类和气体浓度之间的对应记录，根据所述对应记录，选取老化监测气体和对应的气体浓度阈值；
    所述多个气体检测器用于实时监测开关柜内老化监测气体，得到每个气体检测器检测的浓度数据，以及多个浓度数据发送至所述在线监测控制器；
    所述在线监测控制器用于根据接收的多个浓度数据确定老化监测气体对应的气体监测浓度数据，以及根据气体监测浓度数据和气体浓度阈值，判断是否触发报警。
  7. 根据权利要求6所述的一种开关柜老化在线监测系统，其特征在于，所述在线监测控制器进一步被配置为：
    将多个气体检测器检测的浓度数据取浓度平均值，得到的气体监测浓度数据；
    如果所述的气体监测浓度数据大于所述气体浓度阈值，则触发报警。
  8. 根据权利要求6所述的一种开关柜老化在线监测系统，其特征在于，所述在线监测控制器进一步被配置为：
    选取多个气体检测器检测的浓度数据中最大值作为气体监测浓度数据；
    如果所述气体监测浓度数据大于所述气体浓度阈值，则触发报警。
  9. 根据权利要求6所述的一种开关柜老化在线监测系统，其特征在于，所述气体检测器为传感器，多个所述传感器均匀分布在开关柜顶部；
    当老化监测气体为氢气时，所述传感器为氢气监测传感器，所述氢气监测传感器采用差分吸收光谱分析方法对氢气测量，所述差分吸收光谱分析方法的光谱波段确定为270～310nm，所述差分吸收光谱分析方法针对连续和周期震荡光谱结合的氢气吸收光谱特性，利用Beer-Lambert定律。
  10. 根据权利要求6所述的一种开关柜老化在线监测系统，其特征在于，所述开关柜老化在线监测系统还包括智能网关、4G/5G通信模块和远程监测中心，所述触发报警包括：
    所述在线监测控制器将所述气体监测浓度数据和报警信号发送至智能网关或4G/5G通信模块，以由所述智能网关或所述4G/5G通信模块传输至所述远程监测中心。
PCT/CN2022/132730 2022-07-26 2022-11-18 一种开关柜老化在线监测方法及系统 WO2024021375A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210886391.6 2022-07-26
CN202210886391.6A CN115184710A (zh) 2022-07-26 2022-07-26 一种开关柜老化在线监测方法及系统

Publications (1)

Publication Number Publication Date
WO2024021375A1 true WO2024021375A1 (zh) 2024-02-01

Family

ID=83521195

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/132730 WO2024021375A1 (zh) 2022-07-26 2022-11-18 一种开关柜老化在线监测方法及系统

Country Status (2)

Country Link
CN (1) CN115184710A (zh)
WO (1) WO2024021375A1 (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117970013A (zh) * 2024-04-01 2024-05-03 广州华生网络科技股份有限公司 一种通信机柜智能化监控管理方法及系统
CN118362817A (zh) * 2024-06-18 2024-07-19 宁波市电力设计院有限公司 基于电网模型的电缆沟的监测方法、电缆沟及存储介质
CN118362843A (zh) * 2024-06-14 2024-07-19 广东电网有限责任公司佛山供电局 开关柜设备的状态检测方法、装置、处理器和电子设备

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115184710A (zh) * 2022-07-26 2022-10-14 云南电网有限责任公司临沧供电局 一种开关柜老化在线监测方法及系统

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103353847A (zh) * 2012-12-24 2013-10-16 国家电网公司 基于虚拟现实的电气设备放电检测仿真装置及其实现方法
CN203519062U (zh) * 2013-10-26 2014-04-02 安徽龙波电气有限公司 开关柜局部放电智能在线监测系统
CN109324270A (zh) * 2018-08-07 2019-02-12 国网山东省电力公司淄博供电公司 一种高压开关柜智能在线监测系统
CN109683074A (zh) * 2019-03-05 2019-04-26 云南电力技术有限责任公司 一种高压开关柜局部放电在线监测预警系统及方法
CN210129012U (zh) * 2019-04-09 2020-03-06 国网山西省电力公司电力科学研究院 一种基于气体监测的开关柜局部放电监测预警装置
CN210376570U (zh) * 2019-07-05 2020-04-21 国网安徽省电力有限公司芜湖供电公司 一种开关柜内部放电检测系统
WO2021043465A1 (de) * 2019-09-02 2021-03-11 Siemens Aktiengesellschaft Verfahren zur zustandsüberwachung eines elektrischen geräts und anordnung zur durchführung eines solchen verfahrens
CN113791176A (zh) * 2021-08-12 2021-12-14 深圳供电局有限公司 开关柜内气体监测方法和系统
CN114755543A (zh) * 2022-04-27 2022-07-15 青岛科技大学 一种电力设备局部放电检测方法及设备
CN115184710A (zh) * 2022-07-26 2022-10-14 云南电网有限责任公司临沧供电局 一种开关柜老化在线监测方法及系统

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103353847A (zh) * 2012-12-24 2013-10-16 国家电网公司 基于虚拟现实的电气设备放电检测仿真装置及其实现方法
CN203519062U (zh) * 2013-10-26 2014-04-02 安徽龙波电气有限公司 开关柜局部放电智能在线监测系统
CN109324270A (zh) * 2018-08-07 2019-02-12 国网山东省电力公司淄博供电公司 一种高压开关柜智能在线监测系统
CN109683074A (zh) * 2019-03-05 2019-04-26 云南电力技术有限责任公司 一种高压开关柜局部放电在线监测预警系统及方法
CN210129012U (zh) * 2019-04-09 2020-03-06 国网山西省电力公司电力科学研究院 一种基于气体监测的开关柜局部放电监测预警装置
CN210376570U (zh) * 2019-07-05 2020-04-21 国网安徽省电力有限公司芜湖供电公司 一种开关柜内部放电检测系统
WO2021043465A1 (de) * 2019-09-02 2021-03-11 Siemens Aktiengesellschaft Verfahren zur zustandsüberwachung eines elektrischen geräts und anordnung zur durchführung eines solchen verfahrens
CN113791176A (zh) * 2021-08-12 2021-12-14 深圳供电局有限公司 开关柜内气体监测方法和系统
CN114755543A (zh) * 2022-04-27 2022-07-15 青岛科技大学 一种电力设备局部放电检测方法及设备
CN115184710A (zh) * 2022-07-26 2022-10-14 云南电网有限责任公司临沧供电局 一种开关柜老化在线监测方法及系统

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117970013A (zh) * 2024-04-01 2024-05-03 广州华生网络科技股份有限公司 一种通信机柜智能化监控管理方法及系统
CN117970013B (zh) * 2024-04-01 2024-06-07 广州华生网络科技股份有限公司 一种通信机柜智能化监控管理方法及系统
CN118362843A (zh) * 2024-06-14 2024-07-19 广东电网有限责任公司佛山供电局 开关柜设备的状态检测方法、装置、处理器和电子设备
CN118362817A (zh) * 2024-06-18 2024-07-19 宁波市电力设计院有限公司 基于电网模型的电缆沟的监测方法、电缆沟及存储介质

Also Published As

Publication number Publication date
CN115184710A (zh) 2022-10-14

Similar Documents

Publication Publication Date Title
WO2024021375A1 (zh) 一种开关柜老化在线监测方法及系统
CN104716741B (zh) 变电站远程监测系统及其远程监测方法
CN112104071A (zh) 一种基于北斗物联网的智能变电站综合监控系统
CN211377246U (zh) 一种高压开关柜和开关柜综合状态监测系统
CN203133246U (zh) 一种开关在线监测装置
CN105375627A (zh) 一种配电变电站运行状态监测及安全预警装置
CN210129012U (zh) 一种基于气体监测的开关柜局部放电监测预警装置
CN202018452U (zh) 室内环境智能语音提示系统
CN207832950U (zh) 一种紫外检测局部放电的监测系统
CN111668926B (zh) 一种配网设备环网单元湿热气候服役微环境监测方法
CN203522137U (zh) 一种智能高压真空断路器带电在线监测与保护装置
CN201498430U (zh) 真空断路器真空度的在线监测装置
CN116973704B (zh) 一种开关设备及电缆线路绝缘故障监测系统
CN114200077A (zh) 一种应用于网格化空气质量监测系统的云平台智能辅助校准算法
CN114430198A (zh) 智能配电装置的监控管理装置、方法、设备及存储介质
CN110411894B (zh) 一种气体密度监测系统
CN201732056U (zh) 六氟化硫气体泄漏监控报警装置
CN2691123Y (zh) 变电站高压设备实时在线监测装置
CN116481598B (zh) 一种绝缘气体非电参量在线监测装置
CN115833034B (zh) 一种网络式带预警的漏电保护系统及方法
CN208188644U (zh) 一种高压开关室室内环境预警监测装置
CN204439118U (zh) 变电站在线监测系统
CN110850278A (zh) 机电一体化气体密度继电器
CN212935574U (zh) 一种基于北斗物联网的智能变电站综合监控系统
CN211955705U (zh) 一种10kv中压配电柜弧光电力运行维护检测装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22952810

Country of ref document: EP

Kind code of ref document: A1