Electrical equipment monitoring method and system considering complex environment of transformer substation

Abstract

The invention relates to the technical field of transformer substation monitoring, in particular to an electrical equipment monitoring method and system considering the complex environment of a transformer substation. The method specifically comprises the steps of collecting equipment monitoring data and environment monitoring data collected by different types of monitoring devices, and eliminating discrete abnormal values of the equipment monitoring data caused by interference by comparing values in the data so as to avoid false alarm and leakage alarm of electrical equipment in a transformer substation due to a complex environment. The service realizes a comprehensive technical strategy of'source control-process shielding-later monitoring 'on electrical equipment, and is suitable for realizing friendly operation and maintenance in complex environments of high temperature, high humidity, high salt and the like of a transformer substation.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and in particular to an electrical equipment monitoring method and system taking into account the complex environment of a substation. Background Art

[0002] Substations transform voltage and current within the power system and receive and distribute electrical energy. Key substations, located at key points in the power system, typically have multiple circuits and connect multiple power sources. Failures can cause widespread power outages and even disrupt the power system. Therefore, substations are crucial to the safe and stable operation of the power system.

[0003] In addition to the impact of abnormalities in electrical equipment on the safe and stable operation of substations, the operating environment is also crucial. Complex environments such as high temperature, high humidity, and high salinity can significantly impact substation electrical equipment. For example, excessively high temperatures at substations and inadequate heat dissipation can shorten the lifespan of equipment like capacitors and fuses, and can also impact the reliability of relay protection devices and the accuracy of metering equipment. Long-term operation of copper conductors at temperatures exceeding 200°C and aluminum conductors at temperatures exceeding 90°C can cause softening and a decrease in mechanical strength. Humid substation environments can degrade the insulation performance of electrical equipment and lead to faults such as malfunctions and failures of high-voltage switches. Accumulated dirt or salt on substation insulators can reduce surface resistance and dielectric strength, potentially leading to flashover accidents caused by rain, snow, fog, and frost.

[0004] Complex environments such as high temperature, high humidity, and high salinity can affect not only electrical equipment but also equipment status monitoring devices, leading to false or missed alarms for electrical equipment within substations, threatening the safe, secure, and stable operation of substations. Monitoring devices utilize a wide variety of components, and electronic components in particular are susceptible to damage when operating in complex environments and under shocks such as overvoltage. Sensors, preamplifiers, and auxiliary circuit components mounted directly on or near the equipment are subject to lifespan and stability issues due to continuous high temperatures and temperature fluctuations. This can reduce the sensitivity of sensors such as photosensors and gas sensors, necessitating regular recalibration, maintenance, or replacement.

[0005] In view of this, it is necessary to study the electrical equipment monitoring method that can ensure operation in complex environments and develop an electrical equipment monitoring system that takes into account the complex environment of substations. Summary of the Invention

[0006] In response to the problems in the prior art, the present invention provides an electrical equipment monitoring method and system that takes into account the complex environment of a substation. The specific technical solutions are as follows:

[0007] A method for monitoring electrical equipment in consideration of the complex environment of a substation, comprising the following steps:

[0008] Collect equipment monitoring data, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas data of electrical equipment in the substation;

[0009] Collect environmental monitoring data, including temperature, humidity, power frequency electric field strength, power frequency magnetic field strength, equivalent salt density, and insoluble sediment density data within the substation, and determine whether the environmental monitoring data is within the abnormal warning value range;

[0010] When environmental monitoring data exceeds the warning value range, analyze the equipment monitoring data in the corresponding area to see whether there are abnormally increasing or decreasing discrete abnormal values;

[0011] Eliminate discrete outliers that increase or decrease abnormally, and store equipment monitoring data and environmental monitoring data;

[0012] Display equipment monitoring data, environmental monitoring data, and display multi-indicator time-related ROC curves;

[0013] The state change of electrical equipment is judged by multi-index time-correlated ROC curve.

[0014] Preferably, in the case where the environmental monitoring data exceeds the attention value range, analyzing whether the equipment monitoring data in the corresponding area has abnormally increased or decreased discrete abnormal values ​​specifically includes the following steps:

[0015] Assume that the equipment monitoring data sequence collected by a certain equipment monitoring sensor in the online monitoring comprehensive processing unit is x, as shown in formula (1):

[0016] x={a1,a2,…,a n};(1)

[0017] Where a refers to the value of the equipment monitoring data; n refers to the total number of data obtained after the environmental monitoring data in the area exceeds the attention value; a n Refers to the nth data in the data sequence monitored by the device;

[0018] The estimated standard error E of each value with respect to the median of the data is calculated using the absolute value of the difference between each value and the median. se , as shown in formula (2):

[0019] E se =k·median{a i -median(x)};(2)

[0020] Where a iRefers to the i-th data in the data sequence monitored by the device; k refers to the constant representing the standard deviation of the normal distribution; median(x) refers to the median value of the data in the data sequence monitored by the device at a certain moment, that is, the median when arranged in order. When n is an odd number, the median value of the data is the value in the middle position, and when n is an even number, the median value of the data is the average of the two middle variables;

[0021] Use the estimated standard error value to determine the value a of the collected monitoring data of the i-th device i Whether it is a discrete outlier, as shown in formula (3):

[0022]

[0023] In the formula, σ refers to the judgment value a i Whether it is a discrete outlier threshold, the judgment principle is that if the value a i If the ratio of the absolute difference between the median(x) and the estimated standard error is greater than the threshold σ, then a is judged to be i are discrete outliers.

[0024] Preferably, the multiple indicators in the multi-indicator time-correlated ROC curve include leakage current, equipment current, equipment voltage, partial discharge, and equipment monitoring data of dissolved gas in oil.

[0025] An electrical equipment monitoring system considering the complex environment of a substation, applying the method described, comprising:

[0026] Equipment monitoring devices and equipment monitoring sensors, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas in oil monitoring sensors; the equipment monitoring devices and equipment monitoring sensors are installed and deployed on the electrical equipment in the substation;

[0027] Environmental monitoring devices and environmental monitoring sensors, including temperature, humidity, equivalent salt density, insoluble sediment density monitoring sensors, and power frequency electric field and magnetic field monitoring sensors; the environmental monitoring devices and environmental monitoring sensors are installed and deployed in areas of the substation where electromagnetic environment monitoring is required;

[0028] The online monitoring integrated processing unit is used to collect, store, and process data collected by equipment monitoring devices and environmental monitoring devices. It is installed and deployed in the communication room within the substation.

[0029] Online monitoring operator station, used to display data collected by equipment monitoring devices and environmental monitoring devices, installed and deployed in the main control room of the substation;

[0030] The substation monitoring master station system is used to collect equipment monitoring data and environmental monitoring data collected by the online monitoring comprehensive processing units of each substation. It is installed and deployed in the information room of the provincial production command center.

[0031] Preferably, the area where electromagnetic environment monitoring is required in the substation is specifically determined by comparing the public exposure control limits of the electric field and magnetic field strength in the substation environment, where the public exposure control limits are 4kV / m for electric field strength and 100μT for magnetic induction strength.

[0032] Preferably, the areas where electromagnetic environment monitoring needs to be carried out in the substation include the main transformer area, switchgear area, reactive power compensation area, auxiliary facilities area, reserved expansion space, and intelligent equipment area within the substation.

[0033] Preferably, the power frequency electric field and magnetic field monitoring sensor uses a three-dimensional antenna to simultaneously detect the electric field and magnetic field intensity components in three mutually perpendicular directions (X, Y, Z) at a certain point in the substation space.

[0034] A computer-readable storage medium includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute the electrical equipment monitoring method considering the complex environment of a substation.

[0035] A processor is used to run a program, wherein when the program is run, the method for monitoring electrical equipment taking into account the complex environment of a substation is executed.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention provides an electrical equipment monitoring method and system that takes into account the complex environment of substations. Specifically, the method and system include aggregating equipment monitoring data and environmental monitoring data collected from different types of monitoring devices, eliminating discrete outliers in the equipment monitoring data caused by interference by comparing the median of the data, avoiding false alarms and missed alarms for electrical equipment in the substation due to the complex environment, and serving to implement a comprehensive technical strategy of "source control-process shielding-later monitoring" for electrical equipment, and adapting to the realization of friendly operation and maintenance in complex environments such as high temperature, high humidity, and high salt in substations. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0039] Figure 1 Flow chart of the method of the present invention.

[0040] Figure 2 Schematic diagram of a data judgment neural network in an embodiment of the present invention.

[0041] Figure 3 This is a system principle diagram of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0043] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0044] It should also be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0045] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0046] Example 1:

[0047] like Figure 1 As shown, this embodiment provides an electrical equipment monitoring method considering the complex environment of a substation, including the following steps:

[0048] Step S1 : collecting equipment monitoring data, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas data of electrical equipment in the substation.

[0049] Step S2, collecting environmental monitoring data, including temperature, humidity, power frequency electric field strength, power frequency magnetic field strength, equivalent salt density, and insoluble sediment density data within the substation, and determining whether the environmental monitoring data is within an abnormal warning value range.

[0050] The abnormal attention value range is as follows:

[0051] The ambient temperature is greater than 45 degrees Celsius or less than -25 degrees Celsius;

[0052] The relative humidity of the environment is greater than 95%, or less than 5%;

[0053] The power frequency electric field strength is greater than 4000 volts per meter;

[0054] The power frequency magnetic field strength is greater than 100 microtesla;

[0055] The attention value of equivalent salt density is greater than 0.03 mg per square centimeter;

[0056] Note that the density of insoluble sediment is greater than 0.3 mg per square centimeter.

[0057] Step S3: When the environmental monitoring data exceeds the warning value range, analyze the equipment monitoring data in the corresponding area to see whether there are abnormally increasing or decreasing discrete abnormal values. This specifically includes the following steps:

[0058] Assume that the equipment monitoring data sequence collected by a certain equipment monitoring sensor in the online monitoring comprehensive processing unit is x, as shown in formula (1):

[0059] x={a1,a2,…,a n};(1)

[0060] Where a refers to the value of the equipment monitoring data; n refers to the total number of data obtained after the environmental monitoring data in the area exceeds the attention value; a n Refers to the nth data in the data sequence monitored by the device.

[0061] The estimated standard error E of each value with respect to the median of the data is calculated using the absolute value of the difference between each value and the median. se , as shown in formula (2):

[0062] E se =k·median{a i -median(x)};(2)

[0063] Where a i Refers to the i-th data in the monitoring data sequence of the device; k refers to the constant representing the standard deviation of the normal distribution, and is set to 1.463 based on statistical experience; median(x) refers to the median of the data in the monitoring data sequence of the device at a certain moment, that is, the median when arranged in order. When n is an odd number, the median of the data is the value in the middle position, and when n is an even number, the median of the data is the average of the two middle variables;

[0064] Use the estimated standard error value to determine the value a of the collected monitoring data of the i-th device iWhether it is a discrete outlier, as shown in formula (3):

[0065]

[0066] In the formula, σ refers to the judgment value a i The threshold value of whether it is a discrete outlier is dynamically updated with three times the average value of the past 100 valid data, and the threshold range is determined based on the accumulated expert experience; the judgment principle is that if the value a i If the ratio of the absolute difference between the median(x) and the estimated standard error is greater than the threshold σ, then a is judged to be i is a discrete outlier.

[0067] Step S4: Remove the discrete outliers that increase or decrease abnormally, and store the equipment monitoring data and the environment monitoring data.

[0068] Step S5 displays equipment monitoring data, environmental monitoring data, and a multi-indicator time-dependent ROC curve. The multi-indicator time-dependent ROC curve includes multiple indicators such as leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas in oil equipment monitoring data.

[0069] Step S6: judging the state change of the electrical equipment by using the multi-index time-correlated ROC curve.

[0070] Example 2:

[0071] Based on the same inventive concept as the embodiment, this embodiment provides an electrical equipment monitoring system that takes into account the complex environment of a substation, and applies the method described above, including:

[0072] Equipment monitoring devices and equipment monitoring sensors, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas in oil monitoring sensors; the equipment monitoring devices and equipment monitoring sensors are installed and deployed on the electrical equipment in the substation;

[0073] Environmental monitoring devices and environmental monitoring sensors, including temperature, humidity, equivalent salt density, insoluble sediment density monitoring sensors, and power frequency electric field and magnetic field monitoring sensors; the environmental monitoring devices and environmental monitoring sensors are installed and deployed in areas of the substation where electromagnetic environment monitoring is required;

[0074] The online monitoring integrated processing unit is used to collect, store, and process data collected by equipment monitoring devices and environmental monitoring devices. It is installed and deployed in the communication room within the substation.

[0075] Online monitoring operator station, used to display data collected by equipment monitoring devices and environmental monitoring devices, installed and deployed in the main control room of the substation;

[0076] The substation monitoring master station system is used to collect equipment monitoring data and environmental monitoring data collected by the online monitoring comprehensive processing units of each substation. It is installed and deployed in the information room of the provincial production command center.

[0077] The equipment monitoring device and equipment monitoring sensor, the environment monitoring device and environment monitoring sensor are respectively connected to the online monitoring comprehensive processing unit, and the online monitoring operator station and the substation monitoring master station system are respectively connected to the online monitoring comprehensive processing unit.

[0078] The system of the present invention includes a physical equipment layer, a field control layer, a process monitoring layer, and a production command layer. The physical equipment layer consists of equipment monitoring devices and equipment monitoring sensors, as well as environmental monitoring devices and environmental monitoring sensors; the field control layer consists of an online monitoring integrated processing unit; the process monitoring layer consists of an online monitoring operator station; and the production command layer consists of a substation monitoring master station system, which is used to assist technical personnel in analyzing equipment monitoring data that issues alarms and environmental monitoring data that exceeds warning levels.

[0079] Optionally, the communication method between the physical device layer and the field control layer should support wired communication methods such as M-BUS, Ethernet, and fiber optic communication, and should support wireless communication methods such as Wireless LAN Authentication and Privacy Infrastructure (WAPI), Bluetooth, and Long Range Radio (LoRa).

[0080] Optionally, the online monitoring integrated processing unit of the field control layer collects equipment monitoring data and environmental monitoring data with reference to the requirements of IEEE 802.11 "Common Standard for Wireless Local Area Networks".

[0081] Optionally, data transmission between the online monitoring integrated processing unit of the field control layer and the operator station of the field control layer adopts a text format that complies with the Transmission Control Protocol (TDP), the Secure File Transfer Protocol (SFTP), and the Transport Layer Cryptography Protocol (TLCP).

[0082] Optionally, the data links between the physical device layer, the field control layer, and the process monitoring layer belong to local communications within the substation, and support Internet Protocol version 4 (IPv4) and Internet Protocol version 6 (IPv6) in Transmission Control Protocol / Internet Protocol (TCP / IP).

[0083] Optionally, data transmission between the online monitoring integrated processing unit of the field control layer and the substation monitoring master station system of the production command layer adopts a text format that complies with the Transmission Control Protocol (TDP), the Secure File Transfer Protocol (SFTP), and the Transport Layer Cryptography Protocol (TLCP).

[0084] Optionally, the interactive interface between the online monitoring integrated processing unit of the field control layer and the substation monitoring master station system of the production command layer supports the IoT components to push monitoring data and receive strategies issued by the IoT platform. The IoT components should use MQTT(s), CoAP, HTTP(s), GB / T 28181, ONVIF, and PG protocols to access the IoT platform.

[0085] As an optional embodiment, the data link for technical personnel of production command centers of power grid enterprises at all levels and equipment operation and maintenance technical personnel of power supply bureaus to access the substation monitoring master station system through the power integrated data network must support User Datagram Protocol (UDP).

[0086] As an optional embodiment, the substation monitoring master station system should be able to support the generation of content-encrypted udx files according to the needs of the power grid enterprise and exchange data with other business systems.

[0087] Optionally, the sensor is a state sensing element of the electrical equipment in the substation, which can convert a certain state parameter of the electrical equipment into collectible data.

[0088] The power quality of the monitoring device must meet the requirements of a rated voltage of 220 volts AC / DC (1 ± 15%), a frequency of 50 ± 0.5 Hz, and a harmonic content of less than 5%. The monitoring device must have a self-test function and transmit the results to the online monitoring integrated processing unit. The chassis of the monitoring device must be protected against electromagnetic interference, and exposed conductive parts must be electrically connected and reliably grounded. The chassis must have ventilation and heat dissipation capabilities. The surface coating and plating must be firm, uniform, and smooth, without defects such as peeling, rust, cracks, and holes.

[0089] The areas where electromagnetic environment monitoring is required in substations are determined by comparing the public exposure control limits of electric and magnetic field strengths in the substation environment. The public exposure control limits are 4kV / m for electric field strength and 100μT for magnetic induction strength.

[0090] The areas where electromagnetic environment monitoring needs to be carried out in substations include the main transformer area, switchgear area, reactive power compensation area, auxiliary facilities area, reserved expansion space, and intelligent equipment area within the substation.

[0091] The power frequency electric field and magnetic field monitoring sensor uses a three-dimensional antenna to simultaneously detect the electric field and magnetic field intensity components in three mutually perpendicular directions (X, Y, Z) at a certain point in the substation space.

[0092] Environmental monitoring devices and their sensors shall be installed and deployed in the main transformer area, switchgear area, reactive power compensation area, auxiliary facilities area, reserved expansion space and intelligent equipment area of ​​the substation. The environmental detection path shall start from the maximum value of the power frequency electric field and power frequency magnetic field monitoring around the substation wall and be arranged in a direction perpendicular to the wall. The monitoring points shall be spaced 5 meters apart and measured sequentially up to 50 meters away from the wall. That is, the substation environmental monitoring point shall be selected outside the wall where there is no high-voltage transmission line or far away from the high-voltage transmission line (not less than 20 meters away from the ground projection of the edge conductor) and arranged 5 meters away from the wall. If monitoring is carried out at other locations, the relative position relationship between the monitoring point and the wall and the surrounding environmental conditions shall be recorded.

[0093] The online monitoring integrated processing unit should adopt an automatic collection mode to collect, process, and store online monitoring data at predetermined time intervals, and should be able to store at least one month's worth of online monitoring data. The temperature range of the communication room where the online monitoring integrated processing unit is located is -5 degrees Celsius to +45 degrees Celsius, and the maximum relative humidity is 95% (daily average) or 90% (monthly average). The radio interference field strength in the communication room where the online monitoring integrated processing unit is located should not exceed 126dB within the frequency range of 0.15 MHz to 1000 MHz; the magnetic field interference field strength should not exceed 800 amperes per meter (equivalent to 10 Oersteds).

[0094] The temperature range of the main control room where the online monitoring operator station is located is -5 degrees Celsius to +45 degrees Celsius, and the maximum relative humidity is 95% (daily average) or 90% (monthly average). The radio interference field strength within the main control room where the online monitoring operator station is located shall not exceed 126dB within the frequency range of 0.15 MHz to 1000 MHz; the magnetic field interference field strength shall not exceed 800 amperes per meter (equivalent to 10 Oersteds).

[0095] The working principle of the system of the present invention is:

[0096] The equipment monitoring device collects leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas data of electrical equipment in the substation.

[0097] The environmental monitoring device collects data on temperature, humidity, power frequency electric field strength, power frequency magnetic field strength, equivalent salt density, and insoluble sediment density in the substation, and the online monitoring comprehensive processing unit determines whether the environmental monitoring data are within the normal range, as shown in Table 1.

[0098] Table 1 Normal range of environmental monitoring data

[0099] The online monitoring comprehensive processing unit analyzes the data to determine if the environmental monitoring data exceeds the warning value range.

[0100] Serial number Environmental monitoring projects Normal range 1 temperature -25 degrees Celsius to +45 degrees Celsius 2 humidity 5％～95％ 3 Power frequency electric field strength ≤4000 V / m 4 Power frequency magnetic field strength ≤100 microtesla 5 Equivalent salt density <0.03 mg / cm2 (clean atmosphere) 6 Insoluble sediment density <0.3 mg / cm2 (clean atmosphere)

[0101] Whether there are abnormally increasing or decreasing discrete abnormal values ​​in the equipment monitoring data of the corresponding area, the specific method is shown in the above method and will not be repeated here.

[0102] The online monitoring integrated processing unit removes discrete outliers that increase or decrease abnormally, stores the device monitoring data and the environmental monitoring data, and transmits the device monitoring data and the environmental monitoring data to the online monitoring operator station. Optionally, the online monitoring integrated processing unit should send a heartbeat packet to the online monitoring operator station to indicate that the online status and communication connection are normal.

[0103] The online monitoring operator station displays equipment monitoring data, environmental monitoring data, and displays multi-indicator time-dependent ROC curves;

[0104] Optionally, the online monitoring operator station connects the monitoring data points through a smooth multi-indicator time-correlated ROC curve, which has the visual effect of showing the changing trend of the continuous multi-indicator time-correlated ROC curve and highlights the location and degree of the equipment monitoring alarm value.

[0105] Substation technicians use the online monitoring operator station to display a multi-indicator time-correlated ROC curve to determine changes in electrical equipment status. The curve includes multiple indicators such as leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas in oil equipment monitoring data.

[0106] The online monitoring integrated processing unit transmits substation equipment monitoring data and environmental monitoring data to the substation monitoring master station system; optionally, the online monitoring integrated processing unit should send a heartbeat packet to the substation monitoring master station system that can indicate that the online and communication connections are normal.

[0107] Technical personnel at the production command centers of power grid enterprises at all levels and equipment operation and maintenance personnel at power supply bureaus access the substation monitoring master station system to analyze and judge equipment monitoring data that has issued alarms and environmental monitoring data that has exceeded warning values.

[0108] In terms of equipment monitoring data application, the power supply bureau's production command center utilizes the electrical equipment monitoring system to conduct planned, organized, and systematic monitoring activities. First, it monitors for signs and dynamics of abnormal changes in substation monitoring data. Second, it uses a data judgment neural network to analyze and evaluate substation monitoring data, eliminating discrete outliers that increase or decrease abnormally, thereby obtaining reliable dissolved gas monitoring data in transformer oil. Third, substation technicians monitor the alarm levels of hydrogen, acetylene, and total hydrocarbons in transformer oil by analyzing the trends of continuous multi-indicator time-correlated ROC curves. Finally, technicians from the provincial and power supply bureau's grid enterprise production command centers and equipment operation and maintenance technicians at the power supply bureau analyze and assess equipment monitoring data that indicates an alarm and environmental monitoring data that exceeds a warning value. They adjust the hazard level of the alarm based on the development of the emergency and the severity of the hazard. Specific hazard levels include major, Level I major, Level II major, general, and minor.

[0109] Optionally, major hidden dangers mainly refer to safety hazards that may directly lead to extremely serious or major power safety accidents, extremely serious or major power equipment accidents, or extremely serious or major power personal accidents;

[0110] Optionally, Level I major hidden dangers mainly refer to safety hazards that may directly lead to major power safety accidents, major power equipment accidents, and major power personal accidents;

[0111] Optionally, Level II major hidden dangers mainly refer to safety hazards that may directly lead to general power safety accidents, power equipment accidents, and power personal accidents;

[0112] Optionally, general hidden dangers mainly refer to safety hazards that may directly lead to level one or level two power safety incidents, power equipment incidents, power personal incidents, and other incidents that cause major adverse or relatively large negative impacts on society;

[0113] Optionally, minor hidden dangers mainly refer to safety hazards that may directly lead to level 3 and below power safety incidents, power equipment incidents, power personal incidents and other safety hazards that have adverse effects on society.

[0114] In terms of the application of environmental monitoring data, the equipment operation and maintenance technicians of the power supply bureau discovered the hidden dangers of flashover failure by analyzing the equivalent salt density and insoluble sediment density monitoring data of the insulators of the substation electrical equipment. They organized daily anti-pollution operation and maintenance, pollution source investigation, insulator cleaning, adding sheds, insulator spot checks, etc., and carried out pollution area level verification at the same time.

[0115] Optionally, the pollution level is divided into five levels: B (blue, light pollution), C (yellow, moderate pollution), D (green, heavy pollution), and E (magenta, very heavy pollution). Level A is not set based on the actual pollution situation of the entire network. Level A corresponds to the lowest pollution level, and Level E corresponds to the highest pollution level. The higher the pollution level, the more serious the pollution in the area where the substation is located.

[0116] Alternatively, equivalent salt density is the amount of sodium chloride (NaCl) that, when dissolved in a given amount of deionized water, has the same bulk conductivity as a natural deposit cleaned from a given surface of electrical equipment, divided by the area of ​​the surface;

[0117] Alternatively, insoluble deposit density refers to the amount of insoluble residue cleaned from a given surface of an electrical device divided by the area of ​​that surface.

[0118] Example 3:

[0119] Based on the same inventive concept as the embodiment, this embodiment provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the electrical equipment monitoring method considering the complex environment of the substation.

[0120] Example 4:

[0121] Based on the same inventive concept as the embodiment, this embodiment provides a processor, which is used to run a program, wherein the program, when running, executes the electrical equipment monitoring method considering the complex environment of the substation.

[0122] Those skilled in the art will appreciate that the units of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0123] In the embodiments provided by the present invention, it should be understood that the division of units is merely a logical function division, and there may be other division methods in actual implementation, for example, multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored, etc.

[0124] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0125] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nly Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., various media that can store program code.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A method for monitoring electrical equipment considering the complex environment of a substation, characterized in that: The following steps are involved: Collect equipment monitoring data, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas data of electrical equipment in the substation; Collect environmental monitoring data, including temperature, humidity, power frequency electric field strength, power frequency magnetic field strength, equivalent salt density, and insoluble sediment density data within the substation, and determine whether the environmental monitoring data is within the abnormal warning value range; When environmental monitoring data exceeds the warning value range, analyze the equipment monitoring data in the corresponding area to see whether there are abnormally increasing or decreasing discrete abnormal values; Eliminate discrete outliers that increase or decrease abnormally, and store equipment monitoring data and environmental monitoring data; Display equipment monitoring data, environmental monitoring data, and display multi-indicator time-related ROC curves; The state change of electrical equipment is judged by multi-index time-correlated ROC curve.

2. The electrical equipment monitoring method considering the complex environment of a substation according to claim 1, characterized in that: In the case where the environmental monitoring data exceeds the attention value range, analyzing whether the equipment monitoring data in the corresponding area has abnormally increased or decreased discrete abnormal values ​​specifically includes the following steps: Assume that the equipment monitoring data sequence collected by a certain equipment monitoring sensor in the online monitoring comprehensive processing unit is x, as shown in formula (1): x={a1,a2,…,a n };(1) Where a refers to the value of the equipment monitoring data; n refers to the total number of data obtained after the environmental monitoring data in the area exceeds the attention value; a n Refers to the nth data in the data sequence monitored by the device; The estimated standard error E of each value with respect to the median of the data is calculated using the absolute value of the difference between each value and the median. se , as shown in formula (2): E se =k·median{a i -median(x)};(2) Where a i Refers to the i-th data in the data sequence monitored by the device; k refers to the constant representing the standard deviation of the normal distribution; median(x) refers to the median value of the data in the data sequence monitored by the device at a certain moment, that is, the median when arranged in order. When n is an odd number, the median value of the data is the value in the middle position, and when n is an even number, the median value of the data is the average of the two middle variables; Use the estimated standard error value to determine the value a of the collected monitoring data of the i-th device i Whether it is a discrete outlier, as shown in formula (3): In the formula, σ refers to the judgment value a i Whether it is a discrete outlier threshold, the judgment principle is that if the value a i If the ratio of the absolute difference between the median(x) and the estimated standard error is greater than the threshold σ, then a is judged to be i are discrete outliers.

3. The electrical equipment monitoring method considering the complex environment of a substation according to claim 1, characterized in that: The multiple indicators in the multi-indicator time-correlated ROC curve include leakage current, equipment current, equipment voltage, partial discharge, and equipment monitoring data of dissolved gas in oil.

4. An electrical equipment monitoring system considering the complex environment of a substation, characterized by: Applying the method according to any one of claims 1 to 7, comprising: Equipment monitoring devices and equipment monitoring sensors, including leakage current, equipment current, equipment voltage, partial discharge, and dissolved gas in oil monitoring sensors; the equipment monitoring devices and equipment monitoring sensors are installed and deployed on the electrical equipment in the substation; Environmental monitoring devices and environmental monitoring sensors, including temperature, humidity, equivalent salt density, insoluble sediment density monitoring sensors, and power frequency electric field and magnetic field monitoring sensors; the environmental monitoring devices and environmental monitoring sensors are installed and deployed in areas of the substation where electromagnetic environment monitoring is required; The online monitoring integrated processing unit is used to collect, store, and process data collected by equipment monitoring devices and environmental monitoring devices. It is installed and deployed in the communication room within the substation. Online monitoring operator station, used to display data collected by equipment monitoring devices and environmental monitoring devices, installed and deployed in the main control room of the substation; The substation monitoring master station system is used to collect equipment monitoring data and environmental monitoring data collected by the online monitoring comprehensive processing units of each substation. It is installed and deployed in the information room of the provincial production command center.

5. The electrical equipment monitoring system considering the complex environment of a substation according to claim 1 is characterized in that: The areas where electromagnetic environment monitoring is required in substations are determined by comparing the public exposure control limits of electric and magnetic field strengths in the substation environment. The public exposure control limits are 4kV / m for electric field strength and 100μT for magnetic induction strength.

6. The electrical equipment monitoring system considering the complex environment of a substation according to claim 1 is characterized in that: The areas where electromagnetic environment monitoring needs to be carried out in substations include the main transformer area, switchgear area, reactive power compensation area, auxiliary facilities area, reserved expansion space, and intelligent equipment area within the substation.

7. The electrical equipment monitoring system considering the complex environment of a substation according to claim 1 is characterized in that: The power frequency electric field and magnetic field monitoring sensor uses a three-dimensional antenna to simultaneously detect the electric field and magnetic field intensity components in three mutually perpendicular directions (X, Y, Z) at a certain point in the substation space.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the electrical equipment monitoring method considering the complex environment of the substation as described in any one of claims 1 to 3.

9. A processor, characterized in that: The processor is used to run a program, wherein the program, when running, executes the electrical equipment monitoring method considering the complex environment of the substation as described in any one of claims 1 to 3.

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