CN117034174B - Transformer substation equipment abnormality detection method and system - Google Patents
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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
Technical Field
The invention relates to the technical field of abnormality detection of substation equipment, in particular to a method and a system for detecting the abnormality of the substation equipment.
Background
At present, due to frequent operation of a power system, the abnormality of substation equipment becomes one of important causes causing safety accidents, if the state and performance data of the substation equipment are not detected in time, the equipment is possibly failed, the safety risks such as electrical accidents and fire disasters are possibly caused, and the reliability and continuity of power supply are affected, so that the abnormality of the substation equipment is detected, the abnormality of the equipment is found in time, the safety of personnel and the equipment is guaranteed, and the stable operation of the power system is ensured.
Today, there are also some drawbacks in the detection of anomalies in substation equipment, in particular in the following ways: in the prior art, when abnormality detection is performed on main transformer equipment in transformer substation equipment, the condition that some parameters of an oil tank in the main transformer equipment affect equipment abnormality is usually ignored, if the oil parameters in the main transformer oil tank are not analyzed, the working state of a transformer cannot be evaluated, the operation reliability and the operation stability of the transformer substation equipment are affected, and related factors which can interfere with the operation abnormality of the power electronic equipment are not considered, so that the abnormal operation power electronic equipment which cannot be accurately managed and controlled is prompted, and the operation stability of a power system is damaged to a certain extent.
For example, publication No.: the patent application of CN112417937A discloses a substation video target detection method based on a time sequence, which comprises the steps of constructing a substation moving target detection model and a background updating model based on a Gaussian mixture model, calibrating data content of main equipment in a monitoring video, extracting periodically moving pixels in the substation monitoring video, realizing accurate identification of a substation video target, solving the problem that the current substation video monitoring system is difficult to alarm in time under abnormal operation conditions, monitoring the operation state of equipment in a substation in real time, preventing the failure of the substation, improving the operation safety of the system and improving the power supply reliability of a power distribution network.
For example, bulletin numbers: the invention patent of CN113344026B discloses a multi-element fusion-based transformer substation equipment abnormality identification positioning method, wherein main data monitoring modes and auxiliary data monitoring modes are allocated to various monitoring data types of transformer substation equipment to be detected, when the occurrence of abnormality of the transformer substation equipment is judged, monitoring data obtained by the transformer substation equipment through the data monitoring modes are processed and coupled, the abnormal position and the abnormality cause are determined, the comprehensive and multidimensional data monitoring is ensured, meanwhile, an error interval is reduced, and the abnormality judgment efficiency is ensured.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
when the prior art detects the abnormality of the transformer substation equipment, the real-time monitoring analysis is generally directly carried out on some parameters in the transformer substation equipment, the transformer substation is not divided into tiny branches, and if the parameters in the transformer substation equipment are not analyzed in a targeted manner, the faults of the equipment in the transformer substation cannot be timely judged, so that the operation reliability and the operation stability of the transformer substation equipment are affected.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for detecting the abnormality of substation equipment, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the first aspect of the invention provides a method for detecting abnormality of substation equipment, which comprises the following steps: s1, classifying the appointed substation equipment according to functions to obtain main transformer equipment, switch equipment and power electronic equipment.
S2, setting a detection period, detecting mechanical operation parameters of the main transformer equipment, and calculating the operation abnormality degree index of each main transformer equipment.
S3, detecting the running state of the switching equipment, and analyzing the operation abnormality degree index of each switching equipment.
S4, identifying the associated information of the power electronic equipment, and judging the operation abnormality degree index of each power electronic equipment.
S5, 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.
As a further method, the detection of the mechanical operation parameters of the main transformer equipment comprises the following specific analysis processes:
counting each main transformer device of a specified transformer substation, and acquiring mechanical operation parameters of each main transformer device in a detection period, wherein the mechanical operation parameters comprise supply capacityAnd maximum cooling power->Wherein i is denoted by the number of the respective main transformer device, ">。
Acquiring the type of each main transformer equipment, and extracting the reference supply capacity corresponding to each type of main transformer equipment from a data information baseAnd reference cooling power->Calculating the mechanical operation influence degree coefficient of each main transformer device>The calculation formula is as follows: />Wherein->And->Respectively expressed as correction factors corresponding to the preset supply capacity and cooling power.
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 contentAnd adaptation of the acid number>。
Calculating oil quality conformity index of each main transformer equipmentThe calculation formula is as follows:wherein、/>、/>And->Expressed as correction factors corresponding to the predefined oil temperature, viscosity, water content and acid value, respectively.
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 +.>。
Calculating oil consumption rate influence index of each main transformer equipmentThe calculation formula is as follows:wherein->Expressed as the duration of the detection period,/->Indicated as a correction factor corresponding to the set oil body consumption rate.
Comprehensively judging oil tank influence degree coefficient of each main transformer equipment。
As a further method, the main transformer devicesThe influence degree coefficient of the oil tank is specifically calculated according to the following formula: Wherein->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.
As a further method, the operational abnormality degree index of each main transformer device comprises the following specific analysis processes:
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 deviceWherein p is denoted by the number of the duration of each maintenance interval,/->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>And representing the correction factor corresponding to the preset maintenance interval duration.
Based on the mechanical operating influence of the main transformer unitsThe degree coefficient, the oil tank influence degree coefficient and the maintenance interval duration influence coefficient are comprehensively calculated, and the operation abnormality degree index of each main transformer device is comprehensively calculatedThe calculation formula is as follows:wherein->、/>And->Respectively representing the weight factors corresponding to the preset mechanical operation influence degree coefficient, the oil tank influence degree coefficient and the maintenance interval duration influence coefficient.
As a further method, the operating abnormality degree index of each switch device comprises the following specific analysis processes:
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:wherein->Expressed as 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->And representing the 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 deviceMeter (D)The calculation formula is as follows:whereinAnd->Respectively denoted as a correction factor corresponding to the predefined humidity value and the atmospheric pressure value.
As a further method, the operational abnormality degree index of each switching device is specifically calculated by the following formula:wherein->Expressed as an index of the degree of operational abnormality of the r-th switchgear,/->、/>And->Respectively expressed as the weight corresponding to the set operation frequency influence coefficient, the action duration influence coefficient and the environment interference coefficient.
As a further method, the identifying the association information of the power electronic device includes the following specific analysis processes:
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 valueAnd 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->The correction factors are respectively indicated as correction factors corresponding to the set sound intensity value and the vibration frequency value.
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 each power electricPower influence degree coefficient of sub-device->The calculation formula is as follows:whereinIndicated as a correction factor corresponding to a preset power conversion.
As a further method, the operational abnormality degree index of each power electronic device is specifically calculated by the following formula:wherein->Expressed as a v-th power electronic equipment operation abnormality degree index +.>And->Respectively expressed as the set interference influence degree coefficient and the weight corresponding to the power influence degree coefficient.
As a further method, the control prompt is performed, 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.
And similarly, controlling and prompting the abnormal operation switch equipment and the abnormal operation power electronic equipment.
The second aspect of the present invention provides a substation equipment abnormality detection system, comprising: and the specified substation equipment classification module is used for classifying the specified substation equipment according to the functions to obtain main transformer equipment, switch equipment and power electronic equipment.
And 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.
And 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.
And the abnormal operation equipment screening and controlling 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 control prompt.
The data information base is used for storing the reference supply capacity, the reference cooling power, the highest allowable oil temperature, the reference viscosity, the reference water content and the adaptive acid value corresponding to each type of main transformer equipment, storing the reference storage amount and the reference oil consumption rate of the oil body of the unit oil level of the oil tank of each type of main transformer equipment, storing the rated switching operation times, the reference proper humidity value and the adaptive atmospheric pressure value corresponding to each type of switching equipment, and storing the adaptive power conversion value corresponding to each type of power electronic equipment.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
(1) According to the method and the system for detecting the abnormal state of the transformer substation equipment, the main transformer equipment, the switch equipment and the power electronic equipment are respectively analyzed, and more scientific and reliable data support is provided for integrally reflecting the abnormal state of the transformer substation equipment, so that follow-up management and control prompt of the abnormal operation of the equipment is provided with more convincing support data.
(2) According to the invention, by detecting the mechanical operation parameters of the main transformer equipment and calculating the operation abnormality degree index of each main transformer equipment, the oil quality parameters of the oil tank of the main transformer equipment are carefully considered, so that more scientific data support can be provided for the subsequent analysis of the overall abnormal operation condition of the main transformer equipment, and meanwhile, the operation reliability and the operation stability of the transformer equipment are ensured to a certain extent.
(3) According to the invention, the related information of the power electronic equipment is identified, the operation abnormality degree index of each power electronic equipment is judged, and the actual abnormal operation condition of the power electronic equipment can be effectively reflected by analyzing the related factors interfering the operation abnormality of the power electronic equipment, so that a supporting basis can be provided for the management and control prompt of the power electronic equipment of the subsequent abnormal operation, and the stable operation of a power system is ensured to a certain extent.
(4) According to the invention, the main transformer equipment, the switch equipment and the power electronic equipment are analyzed one by comprehensively screening the abnormal operation main transformer equipment, the abnormal operation switch equipment and the abnormal operation power electronic equipment and performing control prompt, so that the effectiveness of judging the abnormal condition of the transformer substation equipment is improved, and the safety of personnel and equipment is ensured.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the method steps of the present invention.
Fig. 2 is a schematic diagram of system configuration connection according to the present invention.
Detailed Description
The technical solutions of 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, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a substation equipment anomaly detection method, including: s1, classifying the appointed substation equipment according to functions to obtain main transformer equipment, switch equipment and power electronic equipment.
S2, setting a detection period, detecting mechanical operation parameters of the main transformer equipment, and calculating the operation abnormality degree index of each main transformer equipment.
Specifically, the detection of the mechanical operation parameters of the main transformer equipment includes the following specific analysis processes:
counting each main transformer device of a specified transformer substation, and acquiring mechanical operation parameters of each main transformer device in a detection period, wherein the mechanical operation parameters comprise supply capacityAnd maximum cooling power->Wherein i is denoted by the number of the respective main transformer device, ">。
It should be noted that the statistics described above specify the respective main transformer devices of the substation, wherein the types of main transformer devices include, but are not limited to, power transformers, autotransformers, step-down transformers, and withstand voltage transformers.
It should be further explained that, the above-mentioned obtaining the mechanical operation parameters of each main transformer device in the detection period, the devices used for obtaining the mechanical operation parameters are respectively a transformer monitoring system and a power meter, when the supply capacity exceeds the rated capacity of the transformer, the overload of the transformer is caused, and when the highest cooling power is insufficient, the transformer cannot effectively dissipate heat, finally the device is caused to malfunction, and the overall efficiency of the transformer is reduced, so it is crucial to analyze the supply capacity and the cooling power of the main transformer, and a finer data basis is provided for the subsequent overall analysis of the abnormal situation of the main transformer device.
Obtaining the type of each main transformer equipment and extracting from the data information baseReference supply capacity corresponding to various types of main transformer equipmentAnd reference cooling power->Calculating the mechanical operation influence degree coefficient of each main transformer device>The calculation formula is as follows: />WhereinAnd->Respectively expressed as correction factors corresponding to the preset supply capacity and cooling power.
Collecting oil quality parameters of each main transformer device in a detection period, wherein the oil quality parameters comprise the highest oil temperatureMaximum 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 contentAnd adaptation of the acid number>。
It should be explained that the above-mentioned collection of oily parameter of each main transformer equipment in the detection cycle, the equipment that uses is temperature sensor, viscometer, humidity transducer and acidometer respectively, through analysis main transformer's oily parameter, can effectively judge whether main transformer equipment appears faults such as insulation breakdown, winding short circuit, has improved the accurate nature of follow-up analysis main transformer equipment operation anomaly.
Calculating oil quality conformity index of each main transformer equipment The calculation formula is as follows:wherein、/>、/>And->Expressed as correction factors corresponding to the predefined oil temperature, viscosity, water content and acid value, respectively.
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 +.>。
It should be explained that, the above-mentioned oil level at the start time point and the oil level at the end time point of the detection period are obtained, and the used device is an oil level gauge, and the abnormal oil consumption rate may mean that the main transformer has a leakage problem of the oil tank or the oil system, so that the oil loss is caused, the risk of oil leakage is increased, the oil leakage will cause the oil quantity to be reduced, and finally the cooling of the transformer device is insufficient and the insulation performance is reduced, so that in order to ensure the normal operation of the main transformer, the oil consumption rate of the oil level in the oil tank needs to be analyzed.
Calculating oil consumption rate influence index of each main transformer equipmentThe calculation formula is as follows:wherein->Expressed as the duration of the detection period,/->Indicated as a correction factor corresponding to the set oil body consumption rate.
Comprehensively judging oil tank influence degree coefficient of each main transformer equipment。
Further, the oil tank influence degree coefficient of each main transformer device is specifically calculated according to the following formula:wherein->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.
Specifically, the operation abnormality degree index of each main transformer device comprises the following specific analysis processes:
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 deviceWherein p is denoted by the number of the duration of each maintenance interval,/->Q is expressed as the number of maintenance interval durations.
It should be explained that, the foregoing statistics of the maintenance interval duration of each main transformer device may not be found in time due to long-time non-maintenance, which may increase the risk of faults of the transformer device, decrease the efficiency of the transformer, affect the heat dissipation effect of the transformer device, and frequent maintenance may increase the downtime of the transformer device, may affect the continuity and stability of industrial production, so it is necessary to analyze the maintenance interval duration of the main transformer device, which is beneficial to the stable operation of the main transformer device.
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>And representing the correction factor corresponding to the 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 equipmentThe calculation formula is as follows:wherein->、/>And (2) the%>Respectively representing the weight factors corresponding to the preset mechanical operation influence degree coefficient, the oil tank influence degree coefficient and the maintenance interval duration influence coefficient.
In a specific embodiment, the invention detects the mechanical operation parameters of the main transformer equipment, calculates the operation abnormality degree index of each main transformer equipment, carefully considers the oil quality parameters of the oil tank of the main transformer equipment, not only can provide more scientific data support for the subsequent analysis of the whole abnormal operation condition of the main transformer equipment, but also ensures the operation reliability and the operation stability of the transformer equipment to a certain extent.
S3, detecting the running state of the switching equipment, and analyzing the operation abnormality degree index of each switching equipment.
Specifically, the operation abnormality degree index of each switch device comprises the following specific analysis processes:
counting each switch device of a designated transformer substation, and obtaining the switch operation times of each switch deviceWherein r is the number of each switch 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>。
It should be explained that the statistics above specify the various switchgear of the substation, the types of switchgear including, but not limited to, disconnectors, grounding switches and load switches.
Calculating the operation frequency influence coefficient of each switch deviceThe calculation formula is as follows:wherein->Expressed as 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->And representing the correction factor corresponding to the preset action intermittent time length.
It should be explained that, the above-mentioned obtaining the switching operation times of each switching device and obtaining the action intermittent duration between the opening and closing of each switching device, the more the switching operation times, the higher the abrasion and fatigue degree of the switching contact parts, the more likely to cause failure of the contact parts, increase the risk of faults, and reduce the insulation performance of the switching device, while the action intermittent duration is too long, the fault current may continuously flow through the switching device, the faults cannot be cleared in time, the arc is continuously present due to the action intermittent duration being too short, the arc abrasion and heat accumulation of the switching device are increased, the partial discharge, insulation breakdown and other faults of the device may be caused, so that the operation times and the action intermittent duration of the switching device need to be detected, so as to discover the abnormal condition of the switching device in time, and make corresponding adjustment, and ensure the stable operation of the transformer substation.
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 +.>。
It should be explained that the above-mentioned obtaining environmental parameters of each switchgear in the detection period, the used devices are respectively a humidity sensor and an air pressure sensor, the high humidity environment may cause the insulation material of the switchgear to be moist and surface water to reduce the insulation performance, corrosion and oxidation of metal parts of the switchgear are caused to a certain extent, the conductivity, mechanical strength and reliability of the switchgear are further reduced, and the high voltage may cause electric arc to be more easily generated, and the probability of partial discharge and breakdown of the switchgear is increased, so that the environmental parameters around the switchgear are analyzed, abnormal conditions of the switchgear can be timely detected, and data support is provided for the stable operation of the substation equipment.
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.
Further, the operation abnormality degree index of each switch device has a specific calculation formula:wherein->Expressed as an index of the degree of operational abnormality of the r-th switchgear,/->、/>And->Respectively expressed as the weight corresponding to the set operation frequency influence coefficient, the action duration influence coefficient and the environment interference coefficient.
S4, identifying the associated information of the power electronic equipment, and judging the operation abnormality degree index of each power electronic equipment.
Specifically, the identifying the association information of the power electronic device includes the following specific analysis processes:
statistical designationEach power electronic device of the transformer substation acquires interference parameters of each power electronic device under a detection period, wherein the interference parameters comprise the highest sound intensity valueAnd vibration frequency value->Wherein v is denoted by the number of the respective power electronic device, ">。
It should be explained that the statistics described above specify the individual power electronics of the substation, the power electronics types including, but not limited to, circuit breakers and capacitors.
It should be further explained that the above-mentioned obtaining the interference parameters of each power electronic device under the detection period, the used devices are the sound level meter and the vibration sensor, the abnormal sound intensity value may indicate that the device has abnormal noise, and possible faults or abnormal conditions may be identified, so as to detect mechanical problems in the device, and the vibration frequency value may provide the characteristics of internal vibration of the device, so as to help identify possible fault modes, and be capable of tracking whether the vibration of the device is abnormal, so that the sound intensity and the vibration frequency of the device are analyzed, and the possibility that the power electronic device has abnormal operation may be reflected from the side, and the stability of power transmission is ensured to a certain extent.
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->The correction factors are respectively indicated as correction factors corresponding to the set sound intensity value and the vibration frequency value.
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.
It should be explained that, the above-mentioned obtaining the input power value and the output power value of each power electronic device at each detection time point, the used device is a power meter, and the power conversion value of the power electronic device is analyzed through numerical processing, so that the power conversion efficiency of the device is low or overload in operation due to the excessively high power conversion value, and the device cannot normally receive and convert the required electric energy due to the excessively low power conversion value, which negatively affects the operation of the power electronic device, so that the proper power conversion value needs to be analyzed, the operation efficiency of the power electronic device can be improved, and the energy loss is reduced.
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.
Further, the operation abnormality degree index of each power electronic device has a specific calculation formula:wherein->Expressed as a v-th power electronic equipment operation abnormality degree index +.>And->Respectively expressed as the set interference influence degree coefficient and the weight corresponding to the power influence degree coefficient.
In a specific embodiment, the invention can effectively reflect the actual abnormal operation condition of the power electronic equipment by identifying the related information of the power electronic equipment and judging the operation abnormality degree index of each power electronic equipment and analyzing the related factors interfering the operation abnormality of the power electronic equipment, thereby not only providing support basis for the management and control prompt of the power electronic equipment with the follow-up abnormal operation, but also ensuring the stable operation of the power system to a certain extent.
S5, 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.
Specifically, the control prompt is performed, 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.
And similarly, controlling and prompting the abnormal operation switch equipment and the abnormal operation power electronic equipment.
It should be explained that, the above-mentioned managing and controlling prompt is performed on the abnormal operation switch device, and the specific analysis process is as follows: 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.
It should be further explained that, the above-mentioned managing and controlling and prompting the power electronic device for abnormal operation, the specific analysis process is as follows: 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.
In a specific embodiment, the main transformer equipment, the switch equipment and the power electronic equipment are analyzed one by comprehensively screening the abnormal operation main transformer equipment, the abnormal operation switch equipment and the abnormal operation power electronic equipment and performing control prompt, so that the effectiveness of judging the abnormal condition of the transformer substation equipment is improved, and the safety of personnel and equipment is ensured.
Referring to fig. 2, a second aspect of the present invention provides a substation equipment abnormality detection system, including: the system comprises a specified transformer substation equipment classification module, a main transformer equipment detection module, a switch equipment detection analysis module, a power electronic equipment identification judgment module, an abnormal operation equipment screening management and control module and a data information base.
The specified transformer substation equipment classification module is connected with the main transformer equipment detection module, the switch equipment detection analysis module and the power electronic equipment identification judgment module, and the main transformer equipment detection module, the switch equipment detection analysis module and the power electronic equipment identification judgment module are connected with the abnormal operation equipment screening management and control module which is connected with the data information base.
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 and controlling 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 control prompt.
The data information base is used for storing reference supply capacity, reference cooling power, highest allowable oil temperature, reference viscosity, reference water content and adaptive acid value corresponding to various types of main transformer equipment, storing oil body reference storage quantity and reference oil body consumption rate of unit oil level of the oil tank of each type of main transformer equipment, storing rated switching operation times, reference proper humidity value and adaptive atmospheric pressure value corresponding to various types of switching equipment, and storing adaptive power conversion value corresponding to various types of power electronic equipment.
In a specific embodiment, the invention respectively analyzes the main transformer equipment, the switch equipment and the power electronic equipment by providing the method and the system for detecting the abnormal state of the transformer equipment, and provides more scientific and reliable data support for integrally reflecting the abnormal state of the transformer equipment so as to provide more convincing support data for the follow-up management and control prompt of the abnormal operation of the equipment.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
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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