CN117034174B - Transformer substation equipment abnormality detection method and system - Google Patents

Transformer substation equipment abnormality detection method and system Download PDF

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CN117034174B
CN117034174B CN202311248741.7A CN202311248741A CN117034174B CN 117034174 B CN117034174 B CN 117034174B CN 202311248741 A CN202311248741 A CN 202311248741A CN 117034174 B CN117034174 B CN 117034174B
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吴晓鸣
潘东
穆弘
贾健雄
胡晨
孙博
刘倩
朱灿
于晓蕾
崔宏
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Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention relates to the technical field of abnormality detection of substation equipment, and particularly discloses a method and a system for detecting the abnormality of the substation equipment, wherein the method comprises the following steps: the invention not only can accurately provide more scientific data support for the subsequent analysis of the abnormal operation condition of the whole main transformer equipment, but also can ensure the reliability and operation stability of the substation equipment to a certain extent, and can effectively reflect the actual condition of the operation abnormality of the power electronic equipment by judging the operation abnormality degree index of each power electronic equipment.

Description

变电站设备异常检测方法及其系统Substation equipment anomaly detection method and system

技术领域Technical field

本发明涉及变电站设备异常检测技术领域,具体为变电站设备异常检测方法及其系统。The present invention relates to the technical field of substation equipment anomaly detection, specifically a substation equipment anomaly detection method and a system thereof.

背景技术Background technique

当前,由于电力系统的频繁运作,变电站设备的异常成为造成安全事故的重要起因之一,若不及时检测变电站设备的状态和性能数据,可能导致设备发生故障以及电气事故、火灾等安全风险,影响供电可靠性和连续性,因此必须要对变电站设备的异常情况进行检测,及时发现设备的异常情况,以此保障人员和设备的安全,确保电力系统的稳定运行。Currently, due to the frequent operation of the power system, abnormalities in substation equipment have become one of the important causes of safety accidents. If the status and performance data of substation equipment are not detected in a timely manner, it may lead to equipment failure and safety risks such as electrical accidents and fires, affecting In order to ensure the reliability and continuity of power supply, it is necessary to detect abnormalities in substation equipment and detect abnormalities in equipment in a timely manner to ensure the safety of personnel and equipment and ensure the stable operation of the power system.

如今,在变电站设备异常检测方面还存在一些不足,具体体现在以下方面:现有技术在对变电站设备中的主变压器设备进行异常检测时,通常会忽视主变压器设备中油箱的一些参数对设备异常造成影响的情况,若不针对分析主变压器油箱中的油质参数,则无法评估变压器的工作状态,影响着变电站设备的运行可靠性和运行稳定性,且不考虑能够干扰电力电子设备经营异常的有关因素,会导致无法精准的异常经营电力电子设备进行管控提示,在一定程度上折损了电力系统的运行稳定性。Nowadays, there are still some deficiencies in abnormal detection of substation equipment, which are specifically reflected in the following aspects: When the existing technology detects abnormality of the main transformer equipment in the substation equipment, some parameters of the oil tank in the main transformer equipment are usually ignored. If the oil quality parameters in the main transformer oil tank are not analyzed, the working status of the transformer cannot be evaluated, which affects the operational reliability and stability of the substation equipment, and the abnormal operation of power electronic equipment that can interfere with the operation is not considered. Relevant factors will lead to the inability to provide accurate management and control prompts for abnormal operation of power electronic equipment, which will damage the operational stability of the power system to a certain extent.

例如公开号为:CN112417937A的专利申请,公开了一种基于时间序列的变电站视频目标检测方法,通过构建变电站运动目标检测模型和基于混合高斯模型的背景更新模型,标定监控视频中主要设备的数据内容并提取变电站监控视频中周期性运动的像素,实现了变电站视频目标的准确识别,解决了目前变电站视频监控系统难以在异常运行情况下及时告警的问题,可实时监测变电站中设备的运行状态,预防变电站故障,提升系统运行安全性,提升配电网供电可靠性。For example, the patent application with the publication number: CN112417937A discloses a time series-based substation video target detection method. By constructing a substation moving target detection model and a background update model based on a mixed Gaussian model, the data content of the main equipment in the surveillance video is calibrated. It also extracts periodically moving pixels in the substation surveillance video to achieve accurate identification of substation video targets and solves the problem that the current substation video surveillance system is difficult to provide timely alarms under abnormal operation conditions. It can monitor the operating status of equipment in the substation in real time and prevent Substation failure, improve system operation safety, and improve distribution network power supply reliability.

例如公告号为:CN113344026B的发明专利,公开了一种基于多元融合的变电站设备异常识别定位方法,通过变电站待检设备的各项监测数据种类分配主要数据监测方式和辅助数据监测方式,在判定变电站设备存在异常时,将该变电站设备通过各数据监测方式获得的监测数据进行处理、耦合,确定异常位置与异常原因,在保证数据监测全面、多维的同时,同时减小误差区间,保证异常判定的效率。For example, the invention patent with announcement number: CN113344026B discloses a method for identifying and locating abnormality in substation equipment based on multiple fusion. The main data monitoring method and the auxiliary data monitoring method are allocated through various monitoring data types of the equipment to be inspected in the substation. When determining the substation When there is an abnormality in the equipment, the monitoring data obtained by the substation equipment through various data monitoring methods are processed and coupled to determine the abnormal location and cause of the abnormality. While ensuring comprehensive and multi-dimensional data monitoring, the error interval is also reduced to ensure the accuracy of abnormal determination. efficiency.

但本申请发明人在实现本申请实施例中发明技术方案的过程中,发现上述技术至少存在如下技术问题:However, in the process of implementing the technical solutions invented in the embodiments of the present application, the inventor of the present application discovered that the above technology has at least the following technical problems:

现有技术对变电站设备异常进行检测时,通常直接对变电站设备中的一些参数进行实时监测分析,并没有将变电站划分成细小分支,若不针对性的分析变电站设备中的参数,则无法及时的判定变电站中哪些设备出现故障,影响着变电站设备的运行可靠性和运行稳定性。When the existing technology detects abnormalities in substation equipment, it usually directly monitors and analyzes some parameters in the substation equipment in real time, and does not divide the substation into small branches. If the parameters in the substation equipment are not analyzed in a targeted manner, timely detection will not be possible. Determining which equipment in the substation is faulty affects the operational reliability and stability of the substation equipment.

发明内容Contents of the invention

针对现有技术的不足,本发明提供了变电站设备异常检测方法及系统,能够有效解决上述背景技术中涉及的问题。In view of the shortcomings of the existing technology, the present invention provides a substation equipment anomaly detection method and system, which can effectively solve the problems involved in the above background technology.

为实现以上目的,本发明通过以下技术方案予以实现:本发明第一方面提供了变电站设备异常检测方法,包括:S1.将指定变电站设备根据功能进行分类,得到主变压器设备、开关设备和电力电子设备。In order to achieve the above objectives, the present invention is realized through the following technical solutions: The first aspect of the present invention provides a substation equipment abnormality detection method, including: S1. Classify the designated substation equipment according to functions to obtain main transformer equipment, switching equipment and power electronics equipment.

S2.设定检测周期,对主变压器设备的机械运行参数进行检测,计算各主变压器设备经营异常程度指数。S2. Set the detection period, detect the mechanical operating parameters of the main transformer equipment, and calculate the operating abnormality index of each main transformer equipment.

S3.检测开关设备运行状态,分析各开关设备经营异常程度指数。S3. Detect the operating status of the switchgear and analyze the operating abnormality index of each switchgear.

S4.对电力电子设备的关联信息进行识别,判定各电力电子设备经营异常程度指数。S4. Identify the relevant information of the power electronic equipment and determine the operating abnormality index of each power electronic equipment.

S5.综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,由此进行管控提示。S5. Comprehensive screening of abnormal operating main transformer equipment, abnormal operating switch equipment and abnormal operating power electronic equipment, and provide management and control prompts accordingly.

作为进一步的方法,所述对主变压器设备的机械运行参数进行检测,其具体分析过程为:As a further method, the mechanical operating parameters of the main transformer equipment are detected, and the specific analysis process is:

统计指定变电站的各主变压器设备,获取各主变压器设备在检测周期内的机械运行参数,其中机械运行参数包括供应容量和最高冷却功率/>,其中i表示为各主变压器设备的编号,/>Statistics of each main transformer equipment in the designated substation are obtained, and the mechanical operating parameters of each main transformer equipment during the detection period are obtained. The mechanical operating parameters include supply capacity. and maximum cooling power/> , where i represents the number of each main transformer equipment,/> .

获取各主变压器设备的类型,从数据信息库中提取各类型主变压器设备对应的参照供应容量和参照冷却功率/>,计算各主变压器设备的机械运行影响程度系数/>,计算公式为:/>,其中/>和/>分别表示为预设的供应容量和冷却功率对应的修正因子。Obtain the type of each main transformer equipment and extract the reference supply capacity corresponding to each type of main transformer equipment from the data information database. and reference cooling power/> , calculate the mechanical operation influence coefficient of each main transformer equipment/> , the calculation formula is:/> , of which/> and/> Respectively expressed as the correction factors corresponding to the preset supply capacity and cooling power.

采集各主变压器设备在检测周期内的油质参数,其中油质参数包括最高油温、油体最大粘度/>、油体最大含水量/>和最高油体酸性值/>,同时从数据信息库中提取各类型主变压器设备对应的最高许可油温/>、参照粘度/>、参照含水量和适配酸值/>Collect the oil quality parameters of each main transformer equipment during the detection period, including the maximum oil temperature , maximum viscosity of oil/> , Maximum water content of oil body/> and the highest oil body acidity value/> , and at the same time extract the maximum allowable oil temperature corresponding to each type of main transformer equipment from the data information database/> , reference viscosity/> , reference moisture content and adapted acid value/> .

计算各主变压器设备的油质符合程度指数,计算公式为:,其中、/>、/>和/>分别表示为预定义的油温、粘度、含水量和酸值对应的修正因子。Calculate the oil quality compliance index of each main transformer equipment , the calculation formula is: ,in ,/> ,/> and/> Respectively expressed as correction factors corresponding to predefined oil temperature, viscosity, water content and acid value.

获取检测周期起始时间点的油位以及终止时间点的油位,通过差值处理得到各主变压器设备的油位差,并从数据信息库中提取各类型主变压器设备油箱所属单位油位的油体参照存储量/>以及参照油体消耗速率/>Obtain the oil level at the starting time point of the detection cycle and the oil level at the ending time point, and obtain the oil level difference of each main transformer equipment through difference processing. , and extract the oil body reference storage volume of the unit oil level of the oil tank of each type of main transformer equipment from the data information database/> And reference oil consumption rate/> .

计算各主变压器设备的油体消耗速率影响指数,计算公式为:,其中/>表示为检测周期的时长,/>表示为设定的油体消耗速率对应的修正因子。Calculate the oil consumption rate impact index of each main transformer equipment , the calculation formula is: , of which/> Expressed as the length of the detection cycle,/> Represented as the correction factor corresponding to the set oil consumption rate.

综合判定各主变压器设备的油箱影响程度系数Comprehensive determination of the oil tank influence coefficient of each main transformer equipment .

作为进一步的方法,所述各主变压器设备的油箱影响程度系数,具体计算公式为:,其中/>和/>分别表示为预定义的油质符合程度指数和油体消耗速率影响指数对应的权值,e表示为自然常数。As a further method, the specific calculation formula of the oil tank influence coefficient of each main transformer equipment is: , of which/> and/> They are respectively expressed as the weights corresponding to the predefined oil quality compliance index and oil consumption rate impact index, and e is expressed as a natural constant.

作为进一步的方法,所述各主变压器设备经营异常程度指数,其具体分析过程为:As a further method, the operation abnormality index of each main transformer equipment is determined, and the specific analysis process is as follows:

获取各主变压器设备的维护次数,同时将相邻两次维护次数的间隔时长记为维护间隔时长,统计各主变压器设备的各维护间隔时长,其中p表示为各维护间隔时长的编号,/>,q表示为维护间隔时长的数目。Obtain the maintenance times of each main transformer equipment, and record the interval between two adjacent maintenance times as the maintenance interval time, and calculate the maintenance interval time of each main transformer equipment. , where p represents the number of each maintenance interval,/> , q represents the number of maintenance interval lengths.

计算各主变压器设备的维护间隔时长影响系数,计算公式为:,其中/>表示为预定义的第i个主变压器设备的参考维护间隔时长,/>表示为预设的维护间隔时长对应的修正因子。Calculate the influence coefficient of the maintenance interval of each main transformer equipment , the calculation formula is: , of which/> Expressed as the predefined reference maintenance interval length of the i-th main transformer equipment,/> Represented as the correction factor corresponding to the preset maintenance interval length.

依据各主变压器设备的机械运行影响程度系数、油箱影响程度系数和维护间隔时长影响系数,综合计算各主变压器设备经营异常程度指数,计算公式为:,其中/>、/>和/>分别表示为预设的机械运行影响程度系数、油箱影响程度系数和维护间隔时长影响系数对应的权重因子。Based on the mechanical operation influence coefficient, oil tank influence coefficient and maintenance interval influence coefficient of each main transformer equipment, the operation abnormality index of each main transformer equipment is comprehensively calculated. , the calculation formula is: , of which/> ,/> and/> They are respectively expressed as weighting factors corresponding to the preset mechanical operation influence degree coefficient, fuel tank influence degree coefficient and maintenance interval time influence coefficient.

作为进一步的方法,所述各开关设备经营异常程度指数,其具体分析过程为:As a further method, the operation abnormality index of each switchgear is determined, and the specific analysis process is as follows:

统计指定变电站的各开关设备,获取各开关设备的开关操作次数,其中r表示为各开关设备的编号,/>,同时获取各开关设备的类型,从数据信息库中提取各类型开关设备对应的额定开关操作次数/>Count each switching device in a designated substation and obtain the number of switching operations of each switching device. , where r represents the number of each switch device,/> , obtain the type of each switch device at the same time, and extract the rated number of switching operations corresponding to each type of switch device from the data information database/> .

计算各开关设备的操作次数影响系数,计算公式为:,其中/>表示为预定义的开关操作次数对应的修正因子。Calculate the influence coefficient of the number of operations of each switching device , the calculation formula is: , of which/> Represented as a correction factor corresponding to a predefined number of switching operations.

获取各开关设备开闸和关闸之间的动作间歇时长,并提取预定义的各类型开关设备对应的参照动作间歇时长/>,计算各开关设备的动作时长影响系数/>,计算公式为:/>,其中/>表示为预设的动作间歇时长对应的修正因子。Obtain the action interval time between opening and closing of each switchgear , and extract the reference action interval duration corresponding to the predefined types of switch equipment/> , calculate the influence coefficient of the action duration of each switching device/> , the calculation formula is:/> , of which/> Represented as the correction factor corresponding to the preset action interval duration.

依据设定的检测周期,获取各开关设备在检测周期内的环境参数,其中环境参数包括最大湿度值和最高大气压力值/>,同时从数据信息库中提取各类型开关设备对应的参照适宜湿度值/>和适配大气压力值/>According to the set detection period, obtain the environmental parameters of each switch device during the detection period, where the environmental parameters include the maximum humidity value and maximum atmospheric pressure value/> , and at the same time extract the reference appropriate humidity values corresponding to various types of switch equipment from the data information database/> and adapting atmospheric pressure value/> .

计算各开关设备的环境干扰系数,计算公式为:,其中和/>分别表示为预定义的湿度值和大气压力值对应的修正因子。Calculate the environmental interference coefficient of each switching device , the calculation formula is: ,in and/> Represented as correction factors corresponding to predefined humidity values and atmospheric pressure values respectively.

作为进一步的方法,所述各开关设备经营异常程度指数,具体计算公式为:,其中/>表示为第r个开关设备经营异常程度指数,/>、/>和/>分别表示为设定的操作次数影响系数、动作时长影响系数和环境干扰系数对应的权值。As a further method, the operation abnormality index of each switchgear is determined, and the specific calculation formula is: , of which/> Expressed as the operating abnormality index of the r-th switchgear,/> ,/> and/> They are respectively expressed as the weights corresponding to the set operation number influence coefficient, action duration influence coefficient and environmental interference coefficient.

作为进一步的方法,所述对电力电子设备的关联信息进行识别,其具体分析过程为:As a further method, the related information of power electronic equipment is identified, and the specific analysis process is:

统计指定变电站的各电力电子设备,获取各电力电子设备在检测周期下的干扰参数,其中干扰参数包括最高声音强度值和振动频率值/>,其中v表示为各电力电子设备的编号,/>Statistics of each power electronic equipment in the designated substation are obtained, and the interference parameters of each power electronic equipment during the detection period are obtained. The interference parameters include the highest sound intensity value. and vibration frequency value/> , where v represents the number of each power electronic device,/> .

获取各电力电子设备的类型,并提取预定义的各类型电力电子设备对应的运行许可声音强度值和参照振动频率值/>Obtain the type of each power electronic equipment and extract the predefined operating permission sound intensity value corresponding to each type of power electronic equipment. and reference vibration frequency value/> .

计算各电力电子设备的干扰影响程度系数,计算公式为:,其中/>和/>分别表示为设定的声音强度值和振动频率值对应的修正因子。Calculate the interference impact coefficient of each power electronic equipment , the calculation formula is: , of which/> and/> Respectively expressed as the correction factors corresponding to the set sound intensity value and vibration frequency value.

根据设定的检测周期,划分得到若干个检测时间点,获取各电力电子设备在各检测时间点的输入功率值与输出功率值,并通过差值处理得到各电力电子设备在各检测时间点的功率转换值,其中A表示为各检测时间点的编号,/>,M表示为检测时间点的数目。According to the set detection period, several detection time points are obtained, the input power value and output power value of each power electronic equipment at each detection time point are obtained, and the power value of each power electronic equipment at each detection time point is obtained through difference processing. Power conversion value , where A represents the number of each detection time point,/> , M represents the number of detection time points.

从数据信息库中提取各类型电力电子设备对应的适配功率转换值,计算各电力电子设备的功率影响程度系数/>,计算公式为:,其中表示为预设的功率转换对应的修正因子。Extract the adaptive power conversion values corresponding to various types of power electronic equipment from the data information database , calculate the power influence coefficient of each power electronic equipment/> , the calculation formula is: ,in Represents the correction factor corresponding to the preset power conversion.

作为进一步的方法,所述各电力电子设备经营异常程度指数,具体计算公式为:,其中/>表示为第v个电力电子设备经营异常程度指数,/>和/>分别表示为设定的干扰影响程度系数和功率影响程度系数对应的权值。As a further method, the specific calculation formula for the operation abnormality index of each power electronic equipment is: , of which/> Expressed as the vth power electronic equipment operation abnormality index,/> and/> Respectively expressed as the weight corresponding to the set interference impact degree coefficient and power impact degree coefficient.

作为进一步的方法,所述进行管控提示,其具体分析过程为:As a further method, the management and control prompts are mentioned, and the specific analysis process is:

将各主变压器设备经营异常程度指数与预设的设备经营异常程度指数阈值进行比对,若某主变压器设备经营异常程度指数高于设备经营异常程度指数阈值,则对该异常经营主变压器设备进行管控提示。Compare the operation abnormality index of each main transformer equipment with the preset equipment operation abnormality index threshold. If the operation abnormality index of a certain main transformer equipment is higher than the equipment operation abnormality index threshold, then the abnormally operating main transformer equipment will be inspected. Management tips.

同理,对异常经营开关设备和异常经营电力电子设备进行管控提示。In the same way, management and control reminders are provided for abnormal operating switching equipment and abnormal operating power electronic equipment.

本发明第二方面提供了变电站设备异常检测系统,包括:指定变电站设备分类模块,用于将指定变电站设备根据功能进行分类,得到主变压器设备、开关设备和电力电子设备。A second aspect of the present invention provides a substation equipment anomaly detection system, including: a designated substation equipment classification module for classifying designated substation equipment according to functions to obtain main transformer equipment, switching equipment and power electronic equipment.

主变压器设备检测模块,用于设定检测周期,对主变压器设备的机械运行参数进行检测,计算各主变压器设备经营异常程度指数。The main transformer equipment detection module is used to set the detection period, detect the mechanical operating parameters of the main transformer equipment, and calculate the operating abnormality index of each main transformer equipment.

开关设备检测分析模块,用于检测开关设备运行状态,分析各开关设备经营异常程度指数。The switchgear detection and analysis module is used to detect the operating status of switchgear and analyze the operating abnormality index of each switchgear.

电力电子设备识别判定模块,用于对电力电子设备的关联信息进行识别,判定各电力电子设备经营异常程度指数。The power electronic equipment identification and determination module is used to identify the relevant information of power electronic equipment and determine the operating abnormality index of each power electronic equipment.

异常经营设备筛查管控模块,用于综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,由此进行管控提示。The abnormal operation equipment screening and control module is used to comprehensively screen abnormal operation main transformer equipment, abnormal operation switch equipment and abnormal operation power electronic equipment, and provide management and control prompts accordingly.

数据信息库,用于存储各类型主变压器设备对应的参照供应容量、参照冷却功率、最高许可油温、参照粘度、参照含水量和适配酸值,并存储各类型主变压器设备油箱所属单位油位的油体参照存储量以及参照油体消耗速率,存储各类型开关设备对应的额定开关操作次数、参照适宜湿度值和适配大气压力值,还存储各类型电力电子设备对应的适配功率转换值。Data information database is used to store the reference supply capacity, reference cooling power, maximum allowable oil temperature, reference viscosity, reference water content and adaptive acid value corresponding to various types of main transformer equipment, and to store the unit oil to which the oil tanks of various types of main transformer equipment belong. The oil body reference storage amount and the reference oil body consumption rate of each position are stored, the rated switching operation times corresponding to each type of switching equipment, the reference suitable humidity value and the adapted atmospheric pressure value are stored, and the adapted power conversion corresponding to each type of power electronic equipment is also stored. value.

相对于现有技术,本发明的实施例至少具有如下优点或有益效果:Compared with the prior art, embodiments of the present invention have at least the following advantages or beneficial effects:

(1)本发明通过提供变电站设备异常检测方法及其系统,分别对主变压器设备、开关设备和电力电子设备进行分析,为整体反映出变电站设备的异常状态提供了更具有科学性和可靠性的数据支撑,以便后续对设备异常经营进行管控提示提供更具有说服力的支持数据。(1) By providing a substation equipment abnormality detection method and its system, the present invention analyzes the main transformer equipment, switching equipment and power electronic equipment respectively, and provides a more scientific and reliable method for overall reflecting the abnormal status of the substation equipment. Data support is provided to provide more convincing supporting data for subsequent management and control of abnormal equipment operation.

(2)本发明通过对主变压器设备的机械运行参数进行检测,并计算各主变压器设备经营异常程度指数,细致化的考虑了主变压器设备油箱的油质参数,不仅能够为后续分析主变压器设备的整体异常经营情况提供更加科学的数据支撑,同时在一定程度上保证了变电站设备的运行可靠性和运行稳定性。(2) The present invention detects the mechanical operating parameters of the main transformer equipment and calculates the operating abnormality index of each main transformer equipment. It carefully considers the oil quality parameters of the main transformer equipment oil tank, which not only provides the basis for subsequent analysis of the main transformer equipment. The overall abnormal operating situation provides more scientific data support, and at the same time ensures the operational reliability and stability of the substation equipment to a certain extent.

(3)本发明通过对电力电子设备的关联信息进行识别,并判定各电力电子设备经营异常程度指数,通过分析干扰电力电子设备经营异常的有关因素,能够有效的反映出电力电子设备实际异常经营状况,不仅可以为后续异常经营电力电子设备进行管控提示提供支撑依据,且在一定程度上保证了电力系统的稳定运行。(3) The present invention can effectively reflect the actual abnormal operation of power electronic equipment by identifying relevant information of power electronic equipment, determining the abnormality degree index of operation of each power electronic equipment, and analyzing the relevant factors that interfere with abnormal operation of power electronic equipment. The situation can not only provide supporting basis for management and control prompts for subsequent abnormal operation of power electronic equipment, but also ensure the stable operation of the power system to a certain extent.

(4)本发明通过综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,并进行管控提示,将主变压器设备、开关设备和电力电子设备一一进行分析,提高了判定变电站设备异常情况的有效性,同时有利于保障人员和设备的安全。(4) The present invention comprehensively screens abnormally operated main transformer equipment, abnormally operated switchgear and abnormally operated power electronic equipment, and provides management and control prompts to analyze the main transformer equipment, switchgear and power electronic equipment one by one, thereby improving the judgment The effectiveness of abnormal conditions in substation equipment will also help ensure the safety of personnel and equipment.

附图说明Description of the drawings

利用附图对本发明作进一步说明,但附图中的实施例不构成对本发明的任何限制,对于本领域的普通技术人员,在不付出创造性劳动的前提下,还可以根据以下附图获得其它的附图。The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without exerting creative efforts, other embodiments can be obtained based on the following drawings. Picture attached.

图1为本发明的方法步骤流程示意图。Figure 1 is a schematic flow chart of the method steps of the present invention.

图2为本发明的系统结构连接示意图。Figure 2 is a schematic diagram of the system structure connection of the present invention.

具体实施方式Detailed ways

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、完整地描述,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做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。The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on The embodiments of the present invention and all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

参照图1所示,本发明第一方面提供了变电站设备异常检测方法,包括:S1.将指定变电站设备根据功能进行分类,得到主变压器设备、开关设备和电力电子设备。Referring to Figure 1, the first aspect of the present invention provides a substation equipment anomaly detection method, including: S1. Classify designated substation equipment according to functions to obtain main transformer equipment, switching equipment and power electronic equipment.

S2.设定检测周期,对主变压器设备的机械运行参数进行检测,计算各主变压器设备经营异常程度指数。S2. Set the detection period, detect the mechanical operating parameters of the main transformer equipment, and calculate the operating abnormality index of each main transformer equipment.

具体的,所述对主变压器设备的机械运行参数进行检测,其具体分析过程为:Specifically, the mechanical operating parameters of the main transformer equipment are detected, and the specific analysis process is:

统计指定变电站的各主变压器设备,获取各主变压器设备在检测周期内的机械运行参数,其中机械运行参数包括供应容量和最高冷却功率/>,其中i表示为各主变压器设备的编号,/>Statistics of each main transformer equipment in the designated substation are obtained, and the mechanical operating parameters of each main transformer equipment during the detection period are obtained. The mechanical operating parameters include supply capacity. and maximum cooling power/> , where i represents the number of each main transformer equipment,/> .

需要解释的是,上述统计指定变电站的各主变压器设备,其中主变压器设备的类型包括但不限于功率变压器、自耦变压器、调压变压器和耐压变压器。It should be explained that the above statistics specify each main transformer equipment in the substation, and the types of main transformer equipment include but are not limited to power transformers, autotransformers, voltage regulating transformers and voltage withstand transformers.

进一步需要解释的是,上述获取各主变压器设备在检测周期内的机械运行参数,获取机械运行参数所用到的设备分别为变压器监测系统以及功率计,供应容量超过变压器的额定容量时,会导致变压器过载,而最高冷却功率不足时,使得变压器无法有效地散热,最终导致设备故障,且降低变压器的整体效率,因此对主变压器的供应容量和冷却功率进行分析是至关重要的,为后续整体分析主变压器设备的异常情况提供更细致的数据依据。It should be further explained that the above-mentioned acquisition of the mechanical operating parameters of each main transformer equipment during the detection period. The equipment used to obtain the mechanical operating parameters are the transformer monitoring system and the power meter. When the supply capacity exceeds the rated capacity of the transformer, it will cause the transformer to malfunction. When overloaded and the maximum cooling power is insufficient, the transformer cannot effectively dissipate heat, eventually leading to equipment failure and reducing the overall efficiency of the transformer. Therefore, it is crucial to analyze the supply capacity and cooling power of the main transformer for subsequent overall analysis. Abnormal conditions of main transformer equipment provide more detailed data basis.

获取各主变压器设备的类型,从数据信息库中提取各类型主变压器设备对应的参照供应容量和参照冷却功率/>,计算各主变压器设备的机械运行影响程度系数/>,计算公式为:/>,其中和/>分别表示为预设的供应容量和冷却功率对应的修正因子。Obtain the type of each main transformer equipment and extract the reference supply capacity corresponding to each type of main transformer equipment from the data information database. and reference cooling power/> , calculate the mechanical operation influence coefficient of each main transformer equipment/> , the calculation formula is:/> ,in and/> Respectively expressed as the correction factors corresponding to the preset supply capacity and cooling power.

采集各主变压器设备在检测周期内的油质参数,其中油质参数包括最高油温、油体最大粘度/>、油体最大含水量/>和最高油体酸性值/>,同时从数据信息库中提取各类型主变压器设备对应的最高许可油温/>、参照粘度/>、参照含水量和适配酸值/>Collect the oil quality parameters of each main transformer equipment during the detection period, including the maximum oil temperature , maximum viscosity of oil/> , Maximum water content of oil body/> and the highest oil body acidity value/> , and at the same time extract the maximum allowable oil temperature corresponding to each type of main transformer equipment from the data information database/> , reference viscosity/> , reference moisture content and adapted acid value/> .

需要解释的是,上述采集各主变压器设备在检测周期内的油质参数,所用到的设备分别为温度传感器、粘度计、湿度传感器和酸度计,通过分析主变压器的油质参数,可以有效判定主变压器设备是否出现绝缘击穿、绕组短路等故障,提高了后续分析主变压器设备经营异常的精准性。It should be explained that the above-mentioned collection of oil quality parameters of each main transformer equipment during the detection period, the equipment used are temperature sensors, viscometers, humidity sensors and acidimeters. By analyzing the oil quality parameters of the main transformer, it can be effectively determined Whether the main transformer equipment has insulation breakdown, winding short circuit and other faults will improve the accuracy of subsequent analysis of operating abnormalities of the main transformer equipment.

计算各主变压器设备的油质符合程度指数,计算公式为:,其中、/>、/>和/>分别表示为预定义的油温、粘度、含水量和酸值对应的修正因子。Calculate the oil quality compliance index of each main transformer equipment , the calculation formula is: ,in ,/> ,/> and/> Respectively expressed as correction factors corresponding to predefined oil temperature, viscosity, water content and acid value.

获取检测周期起始时间点的油位以及终止时间点的油位,通过差值处理得到各主变压器设备的油位差,并从数据信息库中提取各类型主变压器设备油箱所属单位油位的油体参照存储量/>以及参照油体消耗速率/>Obtain the oil level at the starting time point of the detection cycle and the oil level at the ending time point, and obtain the oil level difference of each main transformer equipment through difference processing. , and extract the oil body reference storage volume of the unit oil level of the oil tank of each type of main transformer equipment from the data information database/> And reference oil consumption rate/> .

需要解释的是,上述获取检测周期起始时间点的油位以及终止时间点的油位,用到的设备是油位计,由于异常的油体消耗速率可能意味着主变压器存在油箱或油系统的泄漏问题,导致油体流失,增加了漏油的风险,而漏油又会导致油量减少,最终导致变压器设备冷却不足以及绝缘性能下降,因此为了确保主变压器的正常运行,须对油箱中油位的消耗速率进行分析。It should be explained that the equipment used to obtain the oil level at the starting time point and the ending time point of the detection cycle is an oil level gauge. Abnormal oil consumption rates may mean that there is an oil tank or oil system in the main transformer. The leakage problem will lead to the loss of oil and increase the risk of oil leakage. Oil leakage will also lead to a reduction in oil volume, which will eventually lead to insufficient cooling of the transformer equipment and a decrease in insulation performance. Therefore, in order to ensure the normal operation of the main transformer, the oil in the oil tank must be Bit consumption rate is analyzed.

计算各主变压器设备的油体消耗速率影响指数,计算公式为:,其中/>表示为检测周期的时长,/>表示为设定的油体消耗速率对应的修正因子。Calculate the oil consumption rate impact index of each main transformer equipment , the calculation formula is: , of which/> Expressed as the length of the detection cycle,/> Represented as the correction factor corresponding to the set oil consumption rate.

综合判定各主变压器设备的油箱影响程度系数Comprehensive determination of the oil tank influence coefficient of each main transformer equipment .

进一步的,所述各主变压器设备的油箱影响程度系数,具体计算公式为:,其中/>和/>分别表示为预定义的油质符合程度指数和油体消耗速率影响指数对应的权值,e表示为自然常数。Further, the specific calculation formula for the influence degree coefficient of the oil tank of each main transformer equipment is: , of which/> and/> They are respectively expressed as the weights corresponding to the predefined oil quality compliance index and oil consumption rate impact index, and e is expressed as a natural constant.

具体的,所述各主变压器设备经营异常程度指数,其具体分析过程为:Specifically, the specific analysis process of the operation abnormality index of each main transformer equipment is:

获取各主变压器设备的维护次数,同时将相邻两次维护次数的间隔时长记为维护间隔时长,统计各主变压器设备的各维护间隔时长,其中p表示为各维护间隔时长的编号,/>,q表示为维护间隔时长的数目。Obtain the maintenance times of each main transformer equipment, and record the interval between two adjacent maintenance times as the maintenance interval time, and calculate the maintenance interval time of each main transformer equipment. , where p represents the number of each maintenance interval,/> , q represents the number of maintenance interval lengths.

需要解释的是,上述统计各主变压器设备的各维护间隔时长,因长时间不进行维护可能导致设备内部问题的积累未及时发现,可能增加变压器设备故障的风险,导致变压器效率下降,影响其散热效果,而频繁维护可能导致变压器设备的停机时间增加,可能会影响工业生产的连续性和稳定性,因此对主变压器设备的维护间隔时长进行分析是必要的,有利于主变压器设备的稳定运行。It should be explained that the above statistics are the maintenance intervals of each main transformer equipment. Failure to perform maintenance for a long time may lead to the accumulation of internal problems in the equipment that are not discovered in time, which may increase the risk of transformer equipment failure, lead to a decrease in transformer efficiency, and affect its heat dissipation. Frequent maintenance may lead to increased downtime of transformer equipment, which may affect the continuity and stability of industrial production. Therefore, it is necessary to analyze the maintenance interval of main transformer equipment, which is beneficial to the stable operation of main transformer equipment.

计算各主变压器设备的维护间隔时长影响系数,计算公式为:,其中/>表示为预定义的第i个主变压器设备的参考维护间隔时长,/>表示为预设的维护间隔时长对应的修正因子。Calculate the influence coefficient of the maintenance interval of each main transformer equipment , the calculation formula is: , of which/> Expressed as the predefined reference maintenance interval length of the i-th main transformer equipment,/> Represented as the correction factor corresponding to the preset maintenance interval length.

依据各主变压器设备的机械运行影响程度系数、油箱影响程度系数和维护间隔时长影响系数,综合计算各主变压器设备经营异常程度指数,计算公式为:,其中/>、/>和、/>分别表示为预设的机械运行影响程度系数、油箱影响程度系数和维护间隔时长影响系数对应的权重因子。Based on the mechanical operation influence coefficient, oil tank influence coefficient and maintenance interval influence coefficient of each main transformer equipment, the operation abnormality index of each main transformer equipment is comprehensively calculated. , the calculation formula is: , of which/> ,/> and,/> They are respectively expressed as weighting factors corresponding to the preset mechanical operation influence degree coefficient, fuel tank influence degree coefficient and maintenance interval time influence coefficient.

在一个具体的实施例中,本发明通过对主变压器设备的机械运行参数进行检测,并计算各主变压器设备经营异常程度指数,细致化的考虑了主变压器设备油箱的油质参数,不仅能够为后续分析主变压器设备的整体异常经营情况提供更加科学的数据支撑,同时在一定程度上保证了变电站设备的运行可靠性和运行稳定性。In a specific embodiment, the present invention carefully considers the oil quality parameters of the oil tank of the main transformer equipment by detecting the mechanical operating parameters of the main transformer equipment and calculating the operating abnormality index of each main transformer equipment. It can not only provide Subsequent analysis of the overall abnormal operating conditions of the main transformer equipment provides more scientific data support, and at the same time ensures the operational reliability and stability of the substation equipment to a certain extent.

S3.检测开关设备运行状态,分析各开关设备经营异常程度指数。S3. Detect the operating status of the switchgear and analyze the operating abnormality index of each switchgear.

具体的,所述各开关设备经营异常程度指数,其具体分析过程为:Specifically, the specific analysis process of the operating abnormality index of each switchgear is as follows:

统计指定变电站的各开关设备,获取各开关设备的开关操作次数,其中r表示为各开关设备的编号,/>,同时获取各开关设备的类型,从数据信息库中提取各类型开关设备对应的额定开关操作次数/>Count each switching device in a designated substation and obtain the number of switching operations of each switching device. , where r represents the number of each switch device,/> , obtain the type of each switch device at the same time, and extract the rated number of switching operations corresponding to each type of switch device from the data information database/> .

需要解释的是,上述统计指定变电站的各开关设备,开关设备的类型包括但不限于隔离开关、接地开关和负荷开关。It should be explained that the above statistics specify each switching equipment in the substation. The types of switching equipment include but are not limited to isolating switches, grounding switches and load switches.

计算各开关设备的操作次数影响系数,计算公式为:,其中/>表示为预定义的开关操作次数对应的修正因子。Calculate the influence coefficient of the number of operations of each switching device , the calculation formula is: , of which/> Represented as a correction factor corresponding to a predefined number of switching operations.

获取各开关设备开闸和关闸之间的动作间歇时长,并提取预定义的各类型开关设备对应的参照动作间歇时长/>,计算各开关设备的动作时长影响系数/>,计算公式为:/>,其中/>表示为预设的动作间歇时长对应的修正因子。Obtain the action interval time between opening and closing of each switchgear , and extract the reference action interval duration corresponding to the predefined types of switch equipment/> , calculate the influence coefficient of the action duration of each switching device/> , the calculation formula is:/> , of which/> Represented as the correction factor corresponding to the preset action interval duration.

需要解释的是,上述获取各开关设备的开关操作次数和获取各开关设备开闸和关闸之间的动作间歇时长,开关操作次数越多,开关接触部件的磨损和疲劳程度越高,可能导致接触件失效,增加故障的风险,且降低开关设备的绝缘性能,而动作间歇时长过长可能导致故障电流持续流过开关设备,无法及时清除故障,动作间歇时长过短会使电弧持续存在,增加开关设备的电弧磨损和热量积累,可能导致设备局部放电、绝缘击穿和其他故障,因此需要对开关设备的操作次数和动作间歇时长进行检测,以便及时发现开关设备的异常情况,并作出相应调整,确保变电站的稳定运行。It should be explained that the above-mentioned acquisition of the number of switching operations of each switch device and the acquisition of the intermittent duration between opening and closing of each switch device. The more the number of switching operations, the higher the wear and fatigue of the switch contact parts, which may lead to Failure of the contact parts increases the risk of failure and reduces the insulation performance of the switchgear. Too long an action interval may cause fault current to continue to flow through the switchgear, making it impossible to clear the fault in time. Too short an action interval will cause the arc to persist, increasing the risk of failure. Arc wear and heat accumulation of switching equipment may lead to partial discharge, insulation breakdown and other faults of the equipment. Therefore, it is necessary to detect the number of operations and intermittent operation time of the switching equipment in order to promptly detect abnormal conditions of the switching equipment and make corresponding adjustments. , to ensure the stable operation of the substation.

依据设定的检测周期,获取各开关设备在检测周期内的环境参数,其中环境参数包括最大湿度值和最高大气压力值/>,同时从数据信息库中提取各类型开关设备对应的参照适宜湿度值/>和适配大气压力值/>According to the set detection period, obtain the environmental parameters of each switch device during the detection period, where the environmental parameters include the maximum humidity value and maximum atmospheric pressure value/> , and at the same time extract the reference appropriate humidity values corresponding to various types of switch equipment from the data information database/> and adapting atmospheric pressure value/> .

需要解释的是,上述获取各开关设备在检测周期内的环境参数,用到的设备分别为湿度传感器和气压传感器,高湿度环境可能导致开关设备绝缘材料潮湿和表面积水,降低绝缘性能,一定程度上导致开关设备金属部件的腐蚀和氧化,进一步降低开关设备的导电性能、机械强度和可靠性,而高压可能导致电弧更容易产生,增加开关设备的局部放电和击穿的概率,由此分析开关设备周围的环境参数,可以及时发觉开关设备的异常情况,为变电站设备稳定运行提供数据支撑。It should be explained that the above-mentioned acquisition of environmental parameters of each switchgear during the detection period uses humidity sensors and air pressure sensors. High humidity environments may cause moisture in the insulation materials of the switchgear and water accumulation on the surface, reducing the insulation performance to a certain extent. This leads to corrosion and oxidation of the metal parts of the switchgear, further reducing the electrical conductivity, mechanical strength and reliability of the switchgear, while high voltage may cause arcs to occur more easily, increasing the probability of partial discharge and breakdown of the switchgear, thus analyzing the switch The environmental parameters around the equipment can detect abnormalities in the switching equipment in a timely manner and provide data support for the stable operation of the substation equipment.

计算各开关设备的环境干扰系数,计算公式为:,其中/>和/>分别表示为预定义的湿度值和大气压力值对应的修正因子。Calculate the environmental interference coefficient of each switching device , the calculation formula is: , of which/> and/> Represented as correction factors corresponding to predefined humidity values and atmospheric pressure values respectively.

进一步的,所述各开关设备经营异常程度指数,具体计算公式为:,其中/>表示为第r个开关设备经营异常程度指数,/>、/>和/>分别表示为设定的操作次数影响系数、动作时长影响系数和环境干扰系数对应的权值。Further, the specific calculation formula for the operating abnormality index of each switchgear is: , of which/> Expressed as the operating abnormality index of the r-th switchgear,/> ,/> and/> They are respectively expressed as the weights corresponding to the set operation number influence coefficient, action duration influence coefficient and environmental interference coefficient.

S4.对电力电子设备的关联信息进行识别,判定各电力电子设备经营异常程度指数。S4. Identify the relevant information of the power electronic equipment and determine the operating abnormality index of each power electronic equipment.

具体的,所述对电力电子设备的关联信息进行识别,其具体分析过程为:Specifically, the specific analysis process of identifying related information of power electronic equipment is as follows:

统计指定变电站的各电力电子设备,获取各电力电子设备在检测周期下的干扰参数,其中干扰参数包括最高声音强度值和振动频率值/>,其中v表示为各电力电子设备的编号,/>Statistics of each power electronic equipment in the designated substation are obtained, and the interference parameters of each power electronic equipment during the detection period are obtained. The interference parameters include the highest sound intensity value. and vibration frequency value/> , where v represents the number of each power electronic device,/> .

需要解释的是,上述统计指定变电站的各电力电子设备,电力电子设备类型包括但不限于断路器和电容器。It should be explained that the above statistics specify various power electronic equipment in the substation, and the types of power electronic equipment include but are not limited to circuit breakers and capacitors.

进一步需要解释的是,上述获取各电力电子设备在检测周期下的干扰参数,使用的设备分别为声级计和振动传感器,异常的声音强度值可能表明设备存在异常噪声,可以识别出可能存在的故障或异常情况,由此检测到设备中的机械问题,而振动频率值可以提供设备内部振动的特征,有助于识别可能存在的故障模式,能够跟踪设备的振动是否异常的状况,因此分析设备的声音强度以及振动频率,可从侧面反映出电力电子设备存在异常经营的可能性,一定程度上保证了电力传输的平稳性。It should be further explained that the above-mentioned acquisition of interference parameters of each power electronic equipment during the detection cycle uses sound level meters and vibration sensors. Abnormal sound intensity values may indicate the presence of abnormal noise in the equipment, and possible existence of Faults or abnormal conditions, thereby detecting mechanical problems in the equipment, and the vibration frequency value can provide the characteristics of the internal vibration of the equipment, helping to identify possible failure modes, and can track whether the vibration of the equipment is abnormal, so the equipment can be analyzed The sound intensity and vibration frequency can reflect the possibility of abnormal operation of power electronic equipment from the side, ensuring the stability of power transmission to a certain extent.

获取各电力电子设备的类型,并提取预定义的各类型电力电子设备对应的运行许可声音强度值和参照振动频率值/>Obtain the type of each power electronic equipment and extract the predefined operating permission sound intensity value corresponding to each type of power electronic equipment. and reference vibration frequency value/> .

计算各电力电子设备的干扰影响程度系数,计算公式为:,其中/>和/>分别表示为设定的声音强度值和振动频率值对应的修正因子。Calculate the interference impact coefficient of each power electronic equipment , the calculation formula is: , of which/> and/> Respectively expressed as the correction factors corresponding to the set sound intensity value and vibration frequency value.

根据设定的检测周期,划分得到若干个检测时间点,获取各电力电子设备在各检测时间点的输入功率值与输出功率值,并通过差值处理得到各电力电子设备在各检测时间点的功率转换值,其中A表示为各检测时间点的编号,/>,M表示为检测时间点的数目。According to the set detection period, several detection time points are obtained, the input power value and output power value of each power electronic equipment at each detection time point are obtained, and the power value of each power electronic equipment at each detection time point is obtained through difference processing. Power conversion value , where A represents the number of each detection time point,/> , M represents the number of detection time points.

需要解释的是,上述获取各电力电子设备在各检测时间点的输入功率值与输出功率值,所使用的设备为功率仪,通过数值处理分析电力电子设备的功率转换值,过高的功率转换值会使得设备转换效率低下或在运作中超负荷,而过低的功率转换值使得设备无法正常接收和转换所需的电能,对电力电子设备的运行产生负面影响,因此需要分析出适合的功率转换值,可以提高电力电子设备的运作效率,减少能量损耗。It should be explained that the input power value and output power value of each power electronic device at each detection time point are obtained above. The equipment used is a power meter. The power conversion value of the power electronic device is analyzed through numerical processing. Excessive power conversion The value will cause the equipment to have low conversion efficiency or be overloaded during operation, and a too low power conversion value will prevent the equipment from receiving and converting the required power normally, which will have a negative impact on the operation of the power electronic equipment. Therefore, it is necessary to analyze the appropriate power conversion value, which can improve the operating efficiency of power electronic equipment and reduce energy loss.

从数据信息库中提取各类型电力电子设备对应的适配功率转换值,计算各电力电子设备的功率影响程度系数/>,计算公式为:,其中表示为预设的功率转换对应的修正因子。Extract the adaptive power conversion values corresponding to various types of power electronic equipment from the data information database , calculate the power influence coefficient of each power electronic equipment/> , the calculation formula is: ,in Represents the correction factor corresponding to the preset power conversion.

进一步的,所述各电力电子设备经营异常程度指数,具体计算公式为:,其中/>表示为第v个电力电子设备经营异常程度指数,/>和/>分别表示为设定的干扰影响程度系数和功率影响程度系数对应的权值。Further, the specific calculation formula for the operation abnormality index of each power electronic equipment is: , of which/> Expressed as the vth power electronic equipment operation abnormality index,/> and/> Respectively expressed as the weight corresponding to the set interference impact degree coefficient and power impact degree coefficient.

在一个具体的实施例中,本发明通过对电力电子设备的关联信息进行识别,并判定各电力电子设备经营异常程度指数,通过分析干扰电力电子设备经营异常的有关因素,能够有效的反映出电力电子设备实际异常经营状况,不仅可以为后续异常经营电力电子设备进行管控提示提供支撑依据,且在一定程度上保证了电力系统的稳定运行。In a specific embodiment, the present invention identifies relevant information of power electronic equipment, determines the operating abnormality index of each power electronic equipment, and analyzes the relevant factors that interfere with the abnormal operation of power electronic equipment, so as to effectively reflect the power The actual abnormal operating conditions of electronic equipment can not only provide supporting basis for management and control prompts for subsequent abnormal operating power electronic equipment, but also ensure the stable operation of the power system to a certain extent.

S5.综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,由此进行管控提示。S5. Comprehensive screening of abnormal operating main transformer equipment, abnormal operating switch equipment and abnormal operating power electronic equipment, and provide management and control prompts accordingly.

具体的,所述进行管控提示,其具体分析过程为:Specifically, the specific analysis process of the above-mentioned management and control prompts is:

将各主变压器设备经营异常程度指数与预设的设备经营异常程度指数阈值进行比对,若某主变压器设备经营异常程度指数高于设备经营异常程度指数阈值,则对该异常经营主变压器设备进行管控提示。Compare the operation abnormality index of each main transformer equipment with the preset equipment operation abnormality index threshold. If the operation abnormality index of a certain main transformer equipment is higher than the equipment operation abnormality index threshold, then the abnormally operating main transformer equipment will be inspected. Management tips.

同理,对异常经营开关设备和异常经营电力电子设备进行管控提示。In the same way, management and control reminders are provided for abnormal operating switching equipment and abnormal operating power electronic equipment.

需要解释的是,上述对异常经营开关设备进行管控提示,具体分析过程为:将各开关设备经营异常程度指数与预设的设备经营异常程度指数阈值进行比对,若某开关设备经营异常程度指数高于设备经营异常程度指数阈值,则对该异常经营开关设备进行管控提示。It should be explained that the above-mentioned management and control prompts for abnormal operating switch equipment, the specific analysis process is: compare the operating abnormal degree index of each switch equipment with the preset equipment operating abnormal degree index threshold, if a certain switch equipment operating abnormal degree index If it is higher than the equipment operation abnormality degree index threshold, management and control prompts will be issued for the abnormal operation switch equipment.

进一步需要解释的是,上述对异常经营电力电子设备进行管控提示,具体分析过程为:将各电力电子设备经营异常程度指数与预设的设备经营异常程度指数阈值进行比对,若某电力电子设备经营异常程度指数高于设备经营异常程度指数阈值,则对该异常经营电力电子设备进行管控提示。What needs to be further explained is that the above-mentioned management and control tips for abnormal operating power electronic equipment, the specific analysis process is: compare the abnormal operating degree index of each power electronic equipment with the preset equipment operating abnormal degree index threshold. If a certain power electronic equipment If the operating abnormality degree index is higher than the equipment operating abnormality degree index threshold, management and control prompts will be issued for the abnormally operating power electronic equipment.

在一个具体的实施例中,本发明通过综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,并进行管控提示,将主变压器设备、开关设备和电力电子设备一一进行分析,提高了判定变电站设备异常情况的有效性,同时有利于保障人员和设备的安全。In a specific embodiment, the present invention comprehensively screens the abnormally operated main transformer equipment, abnormally operated switchgear equipment and abnormally operated power electronic equipment, and provides management and control prompts to control the main transformer equipment, switchgear equipment and power electronic equipment one by one. Analysis improves the effectiveness of determining abnormal conditions in substation equipment, and at the same time helps ensure the safety of personnel and equipment.

参照图2所示,本发明第二方面提供了变电站设备异常检测系统,包括:指定变电站设备分类模块、主变压器设备检测模块、开关设备检测分析模块、电力电子设备识别判定模块、异常经营设备筛查管控模块和数据信息库。Referring to Figure 2, the second aspect of the present invention provides a substation equipment anomaly detection system, including: a designated substation equipment classification module, a main transformer equipment detection module, a switching equipment detection and analysis module, a power electronic equipment identification and determination module, and an abnormal operation equipment screening module. Check the management and control module and data information database.

所述指定变电站设备分类模块均与主变压器设备检测模块、开关设备检测分析模块和电力电子设备识别判定模块相连接,主变压器设备检测模块、开关设备检测分析模块和电力电子设备识别判定模块均与异常经营设备筛查管控模块相连接,异常经营设备筛查管控模块与数据信息库相连接。The designated substation equipment classification modules are all connected to the main transformer equipment detection module, switching equipment detection and analysis module and power electronic equipment identification and determination module. The main transformer equipment detection module, switch equipment detection and analysis module and power electronic equipment identification and determination module are all connected to The abnormal operation equipment screening and control module is connected, and the abnormal operation equipment screening and control module is connected to the data information database.

所述指定变电站设备分类模块用于将指定变电站设备根据功能进行分类,得到主变压器设备、开关设备和电力电子设备。The designated substation equipment classification module is used to classify designated substation equipment according to functions to obtain main transformer equipment, switching equipment and power electronic equipment.

所述主变压器设备检测模块用于设定检测周期,对主变压器设备的机械运行参数进行检测,计算各主变压器设备经营异常程度指数。The main transformer equipment detection module is used to set the detection period, detect the mechanical operating parameters of the main transformer equipment, and calculate the operating abnormality index of each main transformer equipment.

所述开关设备检测分析模块用于检测开关设备运行状态,分析各开关设备经营异常程度指数。The switchgear detection and analysis module is used to detect the operating status of the switchgear and analyze the operating abnormality index of each switchgear.

所述电力电子设备识别判定模块用于对电力电子设备的关联信息进行识别,判定各电力电子设备经营异常程度指数。The power electronic equipment identification and determination module is used to identify relevant information of power electronic equipment and determine the abnormality degree index of operation of each power electronic equipment.

所述异常经营设备筛查管控模块用于综合筛查异常经营主变压器设备、异常经营开关设备和异常经营电力电子设备,由此进行管控提示。The abnormal operation equipment screening and control module is used to comprehensively screen abnormal operation main transformer equipment, abnormal operation switch equipment and abnormal operation power electronic equipment, thereby providing management and control prompts.

所述数据信息库用于存储各类型主变压器设备对应的参照供应容量、参照冷却功率、最高许可油温、参照粘度、参照含水量和适配酸值,并存储各类型主变压器设备油箱所属单位油位的油体参照存储量以及参照油体消耗速率,存储各类型开关设备对应的额定开关操作次数、参照适宜湿度值和适配大气压力值,还存储各类型电力电子设备对应的适配功率转换值。The data information database is used to store the reference supply capacity, reference cooling power, maximum allowable oil temperature, reference viscosity, reference water content and adaptive acid value corresponding to each type of main transformer equipment, and to store the units to which the oil tanks of each type of main transformer equipment belong. The oil level of the oil body refers to the storage amount and the reference oil body consumption rate, stores the rated switching operation times corresponding to each type of switching equipment, refers to the appropriate humidity value and adapted atmospheric pressure value, and also stores the corresponding adaptive power of each type of power electronic equipment. Convert value.

在一个具体的实施例中,本发明通过提供变电站设备异常检测方法及其系统,分别对主变压器设备、开关设备和电力电子设备进行分析,为整体反映出变电站设备的异常状态提供了更具有科学性和可靠性的数据支撑,以便后续对设备异常经营进行管控提示提供更具有说服力的支持数据。In a specific embodiment, the present invention provides a substation equipment abnormality detection method and system to analyze the main transformer equipment, switching equipment and power electronic equipment respectively, thereby providing a more scientific method for overall reflecting the abnormal status of the substation equipment. Data support of accuracy and reliability can be provided to provide more convincing supporting data for subsequent management and control of abnormal equipment operation.

以上内容仅仅是对本发明结构所作的举例和说明,所属本技术领域的技术人员对所描述的具体实施例做各种各样的修改或补充或采用类似的方式替代,只要不偏离发明的结构或者超越本权利要求书所定义的范围,均应属于本发明的保护范围。The above contents are only examples and descriptions of the structure of the present invention. Those skilled in the art may make various modifications or supplements to the described specific embodiments or substitute them in similar ways, as long as they do not deviate from the structure of the invention or Anything beyond the scope defined by the claims shall belong to the protection scope of the present invention.

Claims (8)

1. The method for detecting the abnormality of the substation equipment is characterized by comprising the following steps:
classifying the appointed substation equipment according to the functions to obtain main transformer equipment, switch equipment and power electronic equipment;
setting a detection period, detecting mechanical operation parameters of main transformer equipment, and calculating the operation abnormality degree index of each main transformer equipment;
detecting the running state of the switching equipment and analyzing the operation abnormality degree index of each switching equipment;
Identifying the associated information of the power electronic equipment, and judging the operation abnormality degree index of each power electronic equipment;
comprehensively screening the abnormal operation main transformer equipment, the abnormal operation switch equipment and the abnormal operation power electronic equipment, thereby carrying out management and control prompt;
the calculation formula of the operation abnormality degree index of the main transformer equipment is as follows:
in the method, in the process of the invention,index indicating degree of abnormality of the main transformer equipment, < ->、/>And->Respectively expressed as weight factors corresponding to a preset mechanical operation influence degree coefficient, an oil tank influence degree coefficient and a maintenance interval duration influence coefficient, < >>Indicating the degree of influence coefficient of the mechanical operation of the main transformer device,/->Indicating the coefficient of influence of the tank of the main transformer installation,a maintenance interval duration influence coefficient of the main transformer equipment is represented, and e is represented as a natural constant;
the operating abnormality degree index of the switch equipment comprises the following specific calculation formula:
in the method, in the process of the invention,expressed as an index of the degree of operational abnormality of the r-th switchgear,/->、/>And->Respectively expressed as the weight values corresponding to the set operation frequency influence coefficient, the action duration influence coefficient and the environment interference coefficient, < ->Indicating the influence of the number of operations of the switchgearCount (n)/(l) >An influence coefficient representing the duration of the action of the switching device, +.>Representing an environmental interference factor of the switching device;
the power electronic equipment operation abnormality degree index comprises the following specific calculation formula:
wherein,expressed as a v-th power electronic equipment operation abnormality degree index +.>A factor representing the degree of interference influence of the power electronics device, < >>And->Respectively expressed as the weight corresponding to the set interference influence degree coefficient and the power influence degree coefficient, +.>Representing the power impact level coefficient of the power electronic device.
2. The substation equipment abnormality detection method according to claim 1, characterized in that: the specific analysis method for detecting the mechanical operation parameters of the main transformer equipment comprises the following steps:
counting all main transformer equipment of a specified transformer substation, and acquiring mechanical operation parameters of all main transformer equipment in a detection period, wherein the mechanical operation parameters comprise supply capacity and highest cooling power;
obtaining the type of each main transformer equipment, extracting the reference supply capacity and the reference cooling power corresponding to each type of main transformer equipment from a data information base, and calculating the mechanical operation influence degree coefficient of each main transformer equipment
Collecting oil quality parameters of each main transformer device in a detection period, wherein the oil quality parameters comprise the highest oil temperature Maximum viscosity of oil body->Maximum water content of oil body->And maximum oil body acidity value->Simultaneously extracting the highest allowable oil temperature corresponding to each type of main transformer equipment from the data information base>Reference viscosity->Reference water content->And adaptation of the acid number>Calculating oil quality compliance index of each main transformer device>
Acquiring the oil level at the initial time point and the oil level at the final time point of the detection period, and obtaining the oil level difference of each main transformer device through difference processingExtracting the reference storage capacity of the oil body of unit oil level of each type of main transformer equipment oil tank from the data information base>Reference oil body consumption rate +.>The method comprises the steps of carrying out a first treatment on the surface of the Calculating the oil body consumption rate influence index of each main transformer device>
Comprehensively judging oil tank influence degree coefficient of each main transformer equipment
The mechanical operation influence degree coefficient of each main transformer device is calculated, and the calculation formula is as follows:
the oil quality conformity index of each main transformer device is calculated, and the calculation formula is as follows:
calculating the oil consumption rate influence index of each main transformer device, wherein the calculation formula is as follows:
in the method, in the process of the invention,a correction factor corresponding to the preset supply capacity; />The correction factor is expressed as a correction factor corresponding to preset cooling power; / >Representing a supply capacity; />Representing the highest cooling power; i denotes the number of each main transformer device,;/>a reference supply capacity indicated as the corresponding main transformer device; />A reference cooling power indicated as main transformer equipment; />、/>、/>And->Correction factors corresponding to the predefined oil temperature, viscosity, water content and acid value are respectively expressed; />Expressed as the duration of the detection period; />Indicated as a correction factor corresponding to the set oil body consumption rate.
3. The substation equipment abnormality detection method according to claim 2, characterized in that: the oil tank influence degree coefficient of each main transformer device comprises the following specific calculation formula:
in the method, in the process of the invention,and->And e is expressed as a natural constant, wherein the weight is respectively expressed as a predefined oil quality compliance index and a weight corresponding to an oil body consumption rate influence index.
4. A substation equipment anomaly detection method according to claim 3, characterized in that: the operation abnormality degree index of each main transformer device comprises the following specific analysis methods:
acquiring maintenance times of each main transformer device, simultaneously recording interval time of two adjacent maintenance times as maintenance interval time, and counting each maintenance interval time of each main transformer device Where p is denoted as the number of each maintenance interval duration,q is expressed as the number of maintenance interval durations;
calculating the influence coefficient of the maintenance interval time length of each main transformer deviceThe calculation formula is as follows:wherein->Reference maintenance interval duration, denoted as predefined ith main transformer device,/for>Representing a correction factor corresponding to a preset maintenance interval duration;
comprehensively calculating the operation abnormality degree index of each main transformer equipment according to the mechanical operation influence degree coefficient, the oil tank influence degree coefficient and the maintenance interval duration influence coefficient of each main transformer equipment
5. The substation equipment abnormality detection method according to claim 1, characterized in that: the operation abnormality degree index of each switch device comprises the following specific analysis methods:
counting each switch device of a designated transformer substation, and obtaining the switch operation times of each switch deviceWherein r is the number of the respective switching device, < >>Simultaneously obtaining the types of the switch devices, and extracting rated switch operation times corresponding to the switch devices of all types from a data information base>
Calculating the operation frequency influence coefficient of each switch deviceThe calculation formula is as follows:in the formula->A correction factor corresponding to a predefined number of switch operations;
Obtaining action intermittent time length between opening and closing of each switch deviceExtracting the reference action intermittent time length corresponding to the predefined various types of switch equipment>Calculating the action duration influence coefficient of each switch device>The calculation formula is as follows: />Wherein->The correction factor is expressed as a correction factor corresponding to the preset action intermittent time length;
according to the set detection period, acquiring the environmental parameters of each switch device in the detection period, wherein the environmental parameters comprise the maximum humidity valueAnd maximum barometric pressure value +.>Meanwhile, the reference proper humidity value corresponding to each type of switch equipment is extracted from the data information base>And adapting the barometric pressure value +.>
Calculating the environmental interference coefficient of each switch deviceThe calculation formula is as follows:wherein->And->Respectively denoted as a correction factor corresponding to the predefined humidity value and the atmospheric pressure value.
6. The substation equipment abnormality detection method according to claim 1, characterized in that: the specific analysis process for identifying the associated information of the power electronic equipment is as follows:
counting all power electronic equipment of a designated transformer substation, and acquiring interference parameters of all power electronic equipment under a detection period, wherein the interference parameters comprise the highest sound intensity value And vibration frequency value->Wherein v is denoted by the number of the respective power electronic device, ">
Acquiring the type of each power electronic device, and extracting the operation permission sound intensity value corresponding to each predefined type of power electronic deviceAnd reference vibration frequency value->
Calculating interference influence degree coefficient of each power electronic deviceThe calculation formula is as follows:wherein->And->Correction factors corresponding to the set sound intensity value and the vibration frequency value are respectively expressed;
dividing to obtain a plurality of detection time points according to the set detection period, obtaining the input power value and the output power value of each power electronic device at each detection time point, and obtaining the power conversion value of each power electronic device at each detection time point through difference processingWherein A is denoted by the number of each detection time point, < >>M is expressed as the number of detection time points;
extracting adaptive power conversion values corresponding to various types of power electronic equipment from a data information baseCalculating the power influence degree coefficient of each power electronic device>The calculation formula is as follows:whereinIndicated as a correction factor corresponding to a preset power conversion.
7. The substation equipment abnormality detection method according to claim 1, characterized in that: the control prompt is carried out, and the specific analysis process is as follows:
Comparing the operation abnormality degree index of each main transformer device with a preset operation abnormality degree index threshold, and if the operation abnormality degree index of a certain main transformer device is higher than the operation abnormality degree index threshold, carrying out management and control prompt on the abnormal operation main transformer device;
comparing the operation abnormality degree index of each switch device with a preset device operation abnormality degree index threshold, and if the operation abnormality degree index of a certain switch device is higher than the device operation abnormality degree index threshold, carrying out control prompt on the abnormal operation switch device;
comparing the operation abnormality degree index of each power electronic device with a preset device operation abnormality degree index threshold, and if the operation abnormality degree index of a certain power electronic device is higher than the device operation abnormality degree index threshold, carrying out management and control prompt on the power electronic device with abnormal operation.
8. The detection system to which the abnormality detection method for substation equipment according to claim 1 is applied, characterized in that: comprising the following steps:
the specified substation equipment classification module is used for classifying the specified substation equipment according to functions to obtain main transformer equipment, switch equipment and power electronic equipment;
The main transformer equipment detection module is used for setting a detection period, detecting mechanical operation parameters of main transformer equipment and calculating the operation abnormality degree index of each main transformer equipment;
the switch equipment detection and analysis module is used for detecting the operation state of the switch equipment and analyzing the operation abnormality degree index of each switch equipment;
the power electronic equipment identification judging module is used for identifying the associated information of the power electronic equipment and judging the operation abnormality degree index of each power electronic equipment;
the abnormal operation equipment screening management and control module is used for comprehensively screening the abnormal operation main transformer equipment, the abnormal operation switch equipment and the abnormal operation power electronic equipment so as to carry out management and control prompt;
the calculation formula of the operation abnormality degree index of the main transformer equipment is as follows:
in the method, in the process of the invention,index indicating degree of abnormality of the main transformer equipment, < ->、/>And->Respectively expressed as weight factors corresponding to a preset mechanical operation influence degree coefficient, an oil tank influence degree coefficient and a maintenance interval duration influence coefficient, < >>Indicating the degree of influence coefficient of the mechanical operation of the main transformer device,/->Indicating the coefficient of influence of the tank of the main transformer installation,a maintenance interval duration influence coefficient of the main transformer equipment is represented, and e is represented as a natural constant;
The operating abnormality degree index of the switch equipment comprises the following specific calculation formula:
in the method, in the process of the invention,expressed as an index of the degree of operational abnormality of the r-th switchgear,/->、/>And->Respectively expressed as the weight values corresponding to the set operation frequency influence coefficient, the action duration influence coefficient and the environment interference coefficient, < ->Indicating the operating frequency influence factor of the switching device, +.>An influence coefficient representing the duration of the action of the switching device, +.>Representing an environmental interference factor of the switching device;
the power electronic equipment operation abnormality degree index comprises the following specific calculation formula:
wherein,expressed as a v-th power electronic equipment operation abnormality degree index +.>A factor representing the degree of interference influence of the power electronics device, < >>And->Respectively expressed as the weight corresponding to the set interference influence degree coefficient and the power influence degree coefficient, +.>Representing the power impact level coefficient of the power electronic device.
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