CN117117780A - Circuit breaker anti-blocking method and system based on secondary information fusion of transformer substation - Google Patents
Circuit breaker anti-blocking method and system based on secondary information fusion of transformer substation Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
- H02H3/05—Details with means for increasing reliability, e.g. redundancy arrangements
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H3/00—Emergency protective circuit arrangements for automatic disconnection directly responsive to an undesired change from normal electric working condition with or without subsequent reconnection ; integrated protection
- H02H3/02—Details
- H02H3/04—Details with warning or supervision in addition to disconnection, e.g. for indicating that protective apparatus has functioned
- H02H3/044—Checking correct functioning of protective arrangements, e.g. by simulating a fault
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Abstract
The method and the system for preventing the circuit breaker from being blocked based on the secondary information fusion of the transformer substation are characterized in that on-line monitoring data and the circuit breaker anti-blocking parameters are utilized to determine a circuit breaker anti-blocking reference value based on a sampling difference method, and a circuit breaker anti-blocking data cluster is established; acquiring different anti-failure characteristics caused by different reasons and transverse comparison indexes among the circuit breakers by adopting a step clustering method for the anti-failure data clusters of the circuit breakers; obtaining a plurality of groups of early warning variables by the ratio of the difference value between the real-time sampling value and the anti-movement reference value of the circuit breaker to the sampling difference value, and determining a secondary equipment fusion factor according to the mechanical fatigue data of the circuit breaker to correct the maximum value in the plurality of groups of early warning variables; and acquiring accumulated values of the anti-blocking alarm times of the circuit breaker by adopting a step clustering method for the early warning variable peak value, and outputting the anti-blocking alarm of the circuit breaker when the accumulated values are larger than the alarm threshold value. The invention realizes the information fusion of secondary equipment of the circuit breaker and improves the reliability and accuracy of the anti-refusal action alarm of the circuit breaker.
Description
Technical Field
The invention belongs to the field of relay protection of power systems, and particularly relates to a circuit breaker anti-blocking method and system based on secondary information fusion of a transformer substation.
Background
The current power system is larger and larger in scale, and basic power grids of various large areas, provinces, cities and the like in the whole country are crossed into an interconnection stage, so that mutual dependence is more complex. And the requirements of users on the quality of electric energy are also higher and higher, and the safe and reliable operation of the power system is also more and more important. The primary equipment breaker of the transformer substation is one of important electric elements of electric power, which can change the operation mode, open and close a normal operation circuit and can open and close a load. And when the power grid fails, the relay protection device is matched with the relay protection device, so that the fault can be rapidly removed from the power grid, the damage of power equipment is reduced, the stability of the power grid is improved, and the safe and stable operation of the power grid is ensured. Since the operation of the circuit breaker is frequent, there is a phenomenon that a malfunction occurs due to the influence of mechanical and electrical factors. If the circuit breaker cannot act correctly when the system fails, the failure cannot be eliminated, the override trip may be caused to expand the accident and power failure range, even the system crashes, and larger loss is caused. If the breaker fails in closing operation, the switching power supply will fail, so that the reliability of the power system is reduced, and unnecessary economic losses are caused.
In order to reduce such losses, the conventional method firstly adopts parameters such as opening and closing time, speed, travel curve, coil action voltage and the like through preventive tests by a maintenance team, quantitatively detects whether the opening and closing action characteristics of the circuit breaker meet design operation standards, comprehensively judges the operation state of the circuit breaker, but the method needs equipment to be powered off for testing, and has poor instantaneity. Although the fixed inspection mode can effectively avoid the refusing risk of the circuit breaker, the maintenance target is not clear, and the condition of resource waste exists on the premise that the cost of manpower and material resources is gradually increased. In addition, parameters such as the opening and closing speed and the opening and closing coil current of the circuit breaker are collected through the secondary equipment on-line monitoring device and are often used as the later-stage or local analysis parameters of the refusing event of the circuit breaker, and the defects that a collection object is fixed and the transverse comparison function of the circuit breaker of the same type is lost exist.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a circuit breaker anti-operation method and a circuit breaker anti-operation system based on primary equipment circuit breaker operation parameters of a transformer substation and data acquired by related secondary equipment of the circuit breaker, which are used for carrying out transverse and longitudinal dynamic analysis, realizing multi-dimensional monitoring of circuit breaker equipment conditions and reflecting the operation risk of the circuit breaker. The multi-station multiplexing system has the advantage of multi-station multiplexing, and provides powerful support for dynamically overhauling the circuit breaker. The system can run with a host monitoring system, and is more beneficial to the development of in-station monitoring operation and maintenance work.
The invention adopts the following technical scheme.
The invention provides a circuit breaker anti-rejection method based on secondary information fusion of a transformer substation, which comprises the following steps:
step 1, acquiring a breaker anti-operation parameter provided by a breaker manufacturer, and establishing a breaker anti-operation basic feature file; wherein, the circuit breaker prevents refusing to move the parameter and includes: switching-on speed, switching-on coil current, switching-on coil temperature, switching-off speed, switching-off coil current, switching-off coil temperature and switching-off coil resistance;
step 2, analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the online monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of secondary information fusion operation of the circuit breaker, and storing online monitoring data of the anti-operation parameters of the circuit breaker in the basic association table;
step 3, acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from a basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; establishing a circuit breaker anti-failure data cluster by utilizing the circuit breaker anti-failure reference value and the circuit breaker anti-failure parameters provided by manufacturers;
Step 4, classifying the breaker anti-failure data clusters by using a step clustering method by taking the anti-failure indexes as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; establishing a transverse comparison index between circuit breakers with the same failure characteristics for preventing the same failure caused by the same reasons;
step 5, acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring expectations of the mechanical fatigue data obeying normal distribution based on a statistical method, and acquiring secondary equipment fusion factors of the circuit breakers of the different manufacturers, types and models by using a neural network when the expectations are larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency;
step 6, when detecting the anti-refusal operation of the circuit breaker, sampling the on-line monitoring data of the anti-refusal operation parameters of the circuit breaker for a plurality of times, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-refusal operation reference value of the circuit breaker and the sampling difference value; correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value;
Step 7, taking a failure feature of preventing refusal action caused by the reason obtained in the step 4 as an alarm clustering center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the step cluster; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
Based on a keyword fuzzy matching method and an occurrence frequency retrieval method, obtaining anti-action parameter characteristic values from resource files of different anti-action parameters of the circuit breaker, and establishing a basic anti-action characteristic file of the circuit breaker by using the anti-action parameter characteristic values.
The sampling difference satisfies the following relation:
in the method, in the process of the invention,
s represents the sampling difference and,
n represents the number of on-line monitoring data per group,
x i Representing the ith on-line monitoring data,
and x is a breaker anti-failure parameter provided by a manufacturer.
According to the model and factory parameters of the circuit breaker, the value range of the first-stage step threshold value in the circuit breaker anti-movement threshold value is more than or equal to 10 and less than or equal to 20, and according to the induction probability obtained through statistics, the rest first-stage step threshold values are set to be 60-70% of the first-stage step threshold value.
Step 4, establishing a breaker anti-action intelligent analysis library based on the combination of a breaker anti-action data cluster, a clustering method and a multistage step threshold setting, and accessing the breaker anti-action intelligent analysis library into all the breakers in a transformer substation based on IEC61850 or IEC60875-5-104 communication protocols;
and establishing a breaker transverse comparison analysis library in the breaker anti-failure intelligent analysis library based on the transverse comparison indexes among the breakers.
The obtaining of the secondary device fusion factor alpha using the neural network includes: and acquiring mechanical fatigue data and corresponding secondary equipment information of the circuit breakers of different manufacturers, types and models as training samples, constructing a model for acquiring a secondary equipment fusion factor based on a neural network, and training the model by using the training samples to acquire the secondary equipment fusion factor alpha of the circuit breakers of different manufacturers, types and models.
The early warning variables are calculated by the following relation:
in the method, in the process of the invention,
z i representing the i-th early warning variable,
a sampling difference between a real-time sampling value of on-line monitoring data representing a breaker anti-bounce parameter and a breaker anti-bounce reference value provided by a manufacturer,
x i represents the ith on-line monitoring data, i=1, 2, …, n, n represents the number of on-line monitoring data per group,and providing the anti-operation parameters for the breaker by the manufacturer.
Correcting the maximum value in each group of early warning variables by using the normalized primary and secondary equipment fusion factors, and meeting the following relation:
in the method, in the process of the invention,
alpha is a secondary device fusion factor and is used to determine the fusion factor,
in order to pre-warn the variable peak,
with early warning of variable peaksAnd the time period corresponding to the maximum value of the early warning variable and the equipment form a two-dimensional early warning vector.
The set peak value threshold value is 1.05 times of the average value of the early warning variable;
the early warning threshold value and the alarm threshold value are set according to the operation reliability requirement of the transformer substation, and the value range of the early warning threshold value and the alarm threshold value is not smaller than 1.
The invention also provides a circuit breaker anti-blocking system based on secondary information fusion of the transformer substation, which comprises: the system comprises an acquisition module, a data cluster module, a fusion module and an alarm module;
the acquisition module is used for acquiring the anti-operation parameters of the circuit breaker provided by a circuit breaker manufacturer and establishing a basic characteristic file of the anti-operation of the circuit breaker; wherein, the circuit breaker prevents refusing to move the parameter and includes: switching-on speed, switching-on coil current, switching-on coil temperature, switching-off speed, switching-off coil current, switching-off coil temperature and switching-off coil resistance; analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the on-line monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of primary and secondary information fusion operation of the circuit breaker, and storing on-line monitoring data of the anti-operation parameters of the circuit breaker in the basic association table;
The data cluster module is used for acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from the basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; establishing a circuit breaker anti-failure data cluster by utilizing the circuit breaker anti-failure reference value and the circuit breaker anti-failure parameters provided by manufacturers; classifying the anti-failure data clusters of the circuit breaker by using a step clustering method by taking the anti-failure fault index as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; establishing a transverse comparison index between circuit breakers with the same failure characteristics for preventing the same failure caused by the same reasons;
the fusion module is used for acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring the expectation that the mechanical fatigue data obeys normal distribution based on a statistical method, and acquiring secondary equipment fusion factors of the circuit breakers of different manufacturers, types and models by utilizing a neural network when the expectation is larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency;
The alarm module is used for sampling on-line monitoring data of the anti-operation parameters of the circuit breaker for a plurality of times when detecting the anti-operation of the circuit breaker, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-operation reference values of the circuit breaker to the sampling difference value; correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value; taking a failure feature of preventing refusal action caused by one reason obtained by clustering the data cluster module as an alarm cluster center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the clustering; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
Compared with the prior art, the invention has the beneficial effects that the current data analysis is carried out, and a sampling difference algorithm is adopted for the circuit breaker of the basic parameters provided by the circuit breaker manufacturer to obtain a more optimized reference value. The operation analysis process is compatible with the current data sampling, the operation working conditions of the primary equipment are fused, the operation parameters of the circuit breaker can be converted into effective weighting factors, the big data analysis of the circuit breaker is carried out, and the working condition precision of the circuit breaker can be improved. When the refusal action alarm of a certain type of circuit breaker is prejudged, the transverse comparison and investigation of the same type of circuit breaker are intelligently carried out, so that the automatic investigation and comprehensive monitoring of the total station circuit breaker are realized. Can be integrated with a monitoring system, and provides a more reliable and convenient early warning function.
Compared with the existing regular maintenance mode, the method can provide a set of more targeted maintenance target reference data for maintenance personnel, and can reduce the existing maintenance cost. Compared with other single monitoring devices, the device has the basic advantage of big data analysis, and can realize the anti-movement analysis of the circuit breaker from a wider area dimension.
Drawings
Fig. 1 is a flow chart of a circuit breaker anti-blocking method based on secondary information fusion of a transformer substation.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. The described embodiments of the application are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art without inventive faculty, are within the scope of the application, based on the spirit of the application.
The application provides a circuit breaker anti-rejection method based on secondary information fusion of a transformer substation, which is based on IEC61850 or IEC60875-5-104 communication protocols to access all circuit breakers in the transformer substation, takes on-line monitoring data of secondary operation parameters such as closing speed, closing coil current, closing coil temperature, opening speed, opening coil current, opening coil temperature, opening and closing coil resistance of the circuit breakers as secondary key information, forms a primary information weight factor by the on-line monitoring data of the primary operation parameters of the circuit breakers, obtains the circuit breaker anti-rejection parameters fused with the secondary information based on weighted summation calculation, and adopts analysis algorithms such as step clustering and the like to realize anti-rejection early warning of the transverse and longitudinal directions of the circuit breakers.
The method is as shown in fig. 1, and comprises the following steps:
step 1, acquiring a breaker anti-operation parameter provided by a breaker manufacturer, and establishing a breaker anti-operation basic feature file; wherein, the circuit breaker prevents refusing to move the parameter and includes: closing speed, closing coil current, closing coil temperature, opening speed, opening coil current, opening coil temperature and opening coil resistance.
Specifically, in order to improve configuration efficiency and universality of configuration files, a basic characteristic file of circuit breaker anti-movement is established by taking a closing speed, a closing coil current, a closing coil temperature, a separating speed, a separating coil current, a separating coil temperature, a separating and closing coil resistance and the like provided by a circuit breaker manufacturer as key information, and the basic characteristic file has the characteristic of expandable configuration.
Specifically, aiming at the characteristics of inconsistent existence format and the like of the resource files of the circuit breaker anti-operation parameters provided by various manufacturers, the anti-operation parameter characteristic values are automatically obtained from the resource files of different circuit breaker anti-operation parameters based on the retrieval algorithm of the fuzzy matching and the occurrence frequency of the keywords, and the basic characteristic files of the circuit breaker anti-operation are established by utilizing the anti-operation parameter characteristic values.
And 2, analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the on-line monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of secondary information fusion operation of the circuit breaker, and storing on-line monitoring data of the anti-movement parameters of the circuit breaker in the basic association table.
In a non-limiting preferred embodiment, the vibration frequency of the base of the circuit breaker is too high to cause the position of the armature to be offset, the corresponding opening and closing coil can generate phenomena such as too high temperature, and the phenomena are easy to mislead as the failure of the circuit breaker, so that the acquisition of on-line monitoring data is considered to verify the type of the failure of the circuit breaker.
Specifically, a transformer substation Model file is analyzed, models such as identification, names, models, information, voltage levels, intervals, connection points, positions, and accounts of primary equipment, secondary equipment and on-line monitoring devices are obtained, relevant point information of primary equipment circuit breakers and secondary on-line monitoring devices is arranged, information of primary equipment manufacturers, secondary equipment manufacturers, types, models and the like is automatically established, on-line monitoring device information containing the circuit breakers is automatically built, a primary information fusion operation basic association table with the circuit breaker manufacturers (manufacturers), types (models) and models (models) as unique indexes is obtained, and the identification format is the manufacturer_type_model.
According to the method provided by the invention, the physical topological relation between the secondary equipment model and the online monitoring equipment model is obtained from the online monitoring point table of the primary equipment and the secondary equipment and the association point table of the secondary equipment and the online monitoring equipment and the primary equipment, the physical topological relation between the secondary equipment model and the primary equipment model is obtained by combining the virtual physical topological relation between the primary equipment model and the online monitoring equipment model, the direct association relation of the same-level similar circuit breaker is obtained, the establishment of the primary and secondary information basic association relation of the circuit breaker is completed, and the hierarchical structure relation network of the total station circuit breaker is formed.
Step 3, acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from a basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; and establishing a circuit breaker anti-blocking data cluster by utilizing the circuit breaker anti-blocking reference value and the circuit breaker anti-blocking parameter provided by the manufacturer.
Specifically, in order to ensure reliability, if a certain type of circuit breaker is increased for the first time, the anti-operation parameter of the circuit breaker provided by a manufacturer is taken as an initial value, the influence of parameter change possibly caused in the installation process of substation equipment is considered, and the anti-operation reference value of the circuit breaker is calculated based on a sampling difference method, so that the reliability of the method can be improved.
Specifically, the sampling difference satisfies the following relation:
in the method, in the process of the invention,
s represents the sampling difference and,
n represents the number of on-line monitoring data per group,
x i representing the ith on-line monitoring data,
and x is a breaker anti-failure parameter provided by a manufacturer.
Specifically, the established breaker anti-operation data cluster takes manufacturers (manufacturers), types (types) and models (models) of the breakers as indexes, so that initial values of breaker anti-operation parameters provided by the manufacturers of the breakers as various breaker anti-operation parameters in a subsequent clustering algorithm can be obtained from the breaker anti-operation data cluster through the manufacturers, the types and the models of the breakers.
Specifically, a user confirmation option of the anti-movement parameter characteristic value is configured, so that the configurable characteristic value is reliably increased, and the dynamic extension of the anti-movement data cluster of the circuit breaker is realized.
According to the method provided by the invention, fuzzy matching is carried out on the resource files, the data cluster with the data fusion characteristic of secondary equipment is automatically established and used as the data resource for follow-up circuit breaker anti-operation analysis, and the circuit breaker anti-operation data cluster also automatically stores the resource files containing the circuit breaker type and the anti-operation parameter characteristic values, so that the method has the advantages of meeting different stations and facing different circuit breakers.
Step 4, classifying the breaker anti-failure data clusters by using a step clustering method by taking the anti-failure indexes as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; a lateral contrast index is established between circuit breakers having the same failure characteristics that cause the same fail-safe.
Specifically, when classifying the circuit breaker anti-failure data clusters by adopting a step clustering method, taking an anti-failure fault index as a clustering center, and dividing a circuit breaker anti-failure reference value with the distance from the clustering center not greater than the circuit breaker anti-failure threshold value into the same anti-failure fault characteristics; according to the model and factory parameters of the circuit breaker, the value range of the first-stage step threshold value in the circuit breaker anti-failure threshold value is more than or equal to 10 and less than or equal to 20, and according to the induction probability obtained through statistics, the rest first-stage step threshold values are set to be 60-70% of the first-stage step threshold value. The method provided by the invention realizes the rejection fault index according to the standard specified by the regulations, and divides the circuit breaker rejection data cluster into a plurality of rejection fault characteristics with different characteristics.
Since there are many reasons for generating the rejection fault, there is a primary-secondary relationship between the reasons for generating the corresponding rejection fault, so the anti-rejection fault feature is classified again by adopting the step analysis algorithm, and in a non-limiting preferred embodiment, the anti-rejection threshold of the circuit breaker is set to be a secondary step threshold, that is, the first-stage threshold of the anti-rejection of the circuit breaker corresponds to the primary reason for generating the rejection fault, and the second-stage threshold of the anti-rejection of the circuit breaker corresponds to the secondary reason for generating the rejection fault. Therefore, the method provided by the invention realizes the analysis from the more important circuit breaker anti-operation factors, and improves the anti-operation efficiency of the analysis circuit breaker.
The invention obtains the corresponding anti-action fault characteristics under various reasons through the combination of the clustering method and the setting of the multi-stage step threshold value, and can also realize the combination of the hierarchical relationship of primary equipment and the actual topological relationship in the station, search and match the same type of circuit breakers of different manufacturers according to the same reasons and the same anti-action fault characteristics, and realize the establishment of the transverse clustering relationship of the same type of circuit breakers; or searching and matching different types of circuit breakers of different factories according to various reasons corresponding to the same anti-action fault characteristics in the transformer substation, and establishing a longitudinal clustering relation of the different types of circuit breakers.
And step 4, establishing a breaker anti-action intelligent analysis library based on the combination of the breaker anti-action data cluster, the clustering method and the multi-stage step threshold setting, and accessing the breaker anti-action intelligent analysis library into all the breakers in the transformer substation based on IEC61850 or IEC60875-5-104 communication protocols. And establishing a breaker transverse comparison analysis library in the breaker anti-failure intelligent analysis library based on the transverse comparison indexes among the breakers.
Step 5, acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring expectations of the mechanical fatigue data obeying normal distribution based on a statistical method, and acquiring a secondary equipment fusion factor alpha of the circuit breakers of the different manufacturers, types and models by utilizing a neural network when the expectations are larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency.
Specifically, because the circuit breaker is in a certain operation state for a long time, mechanical fatigue may occur, such as a change in factors such as a spring mechanism of the circuit breaker, a vibration frequency of the mechanical mechanism, and the like. According to the operation experience of the transformer substation, the abnormal operation of the primary equipment directly affects the change of the information of the secondary equipment, but the feedback delay of the secondary information exists, so that the mechanical fatigue data of the circuit breaker is combined to set a fusion factor alpha of the secondary equipment, which comprises the following steps: and acquiring mechanical fatigue data of the circuit breaker in a fixed time period by taking time as a coordinate, acquiring the expected that the mechanical fatigue data obeys normal distribution based on a statistical method, and acquiring a secondary equipment fusion factor alpha by using a neural network when the expected value is larger than a set mechanical threshold value, wherein the set mechanical threshold value is 0.81.
In a non-limiting preferred embodiment, the mechanical fatigue data includes, but is not limited to, spring displacement and fixed base vibration frequency. And calculating the spring displacement by combining the switching times of the circuit breaker, the related data of the circuit breaker in a certain running state for a long time and the like, and acquiring the vibration frequency of the fixed base through the high-definition camera. And taking time as a coordinate, acquiring the expectation that the spring displacement or the vibration frequency of the fixed base in a fixed time period obeys normal distribution, and acquiring a secondary device fusion factor alpha by utilizing a neural network when the expectation is larger than a set mechanical threshold value, wherein the set mechanical threshold value is 0.81.
Specifically, the obtaining of the secondary device fusion factor α using the neural network includes: and acquiring mechanical fatigue data and corresponding secondary equipment information of the circuit breakers of different manufacturers, types and models as training samples, constructing a model for acquiring a secondary equipment fusion factor based on a neural network, and training the model by using the training samples to acquire the secondary equipment fusion factor alpha of the circuit breakers of different manufacturers, types and models.
According to the invention, aiming at the influence of the mechanical fatigue data of the circuit breaker on the secondary information, the sampling quantity is enlarged to form a large data analysis base through a large quantity of collected data and a real-time change storage mode. And forming a secondary equipment fusion factor table of the circuit breakers of different manufacturers and types and models based on the neural network.
Step 6, when detecting the anti-refusal operation of the circuit breaker, sampling the on-line monitoring data of the anti-refusal operation parameters of the circuit breaker for a plurality of times, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-refusal operation reference value of the circuit breaker and the sampling difference value; and correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value.
Specifically, a time sliding window mode or an event triggering mode is adopted to start the anti-rejection detection of the circuit breaker. When the anti-blocking of the circuit breaker is detected, configuring a detection time length delta t, carrying out time reversal by taking a detection starting time as a starting point and the detection time length delta t as a step length, and acquiring and analyzing on-line monitoring data of a plurality of groups of anti-blocking parameters of the circuit breaker in a reversal time period; in a non-limiting preferred embodiment, the number of sets of acquired data defaults to 5 sets.
In order to avoid judgment errors caused by jitter of the sampling data of the circuit breaker, early warning variables are calculated according to the following relation:
in the method, in the process of the invention,
z i representing the i-th early warning variable,
a sampling difference between a real-time sampling value of on-line monitoring data representing a breaker anti-bounce parameter and a breaker anti-bounce reference value provided by a manufacturer,
x i Represents the ith on-line monitoring data, i=1, 2, …, n, n represents the number of on-line monitoring data per group,and providing the anti-operation parameters for the breaker by the manufacturer.
For the same circuit breaker, the early warning variables in different time periods are calculated by using the acquired on-line monitoring data of the multiple groups of circuit breaker anti-failure parameters, and normalization is usedThe fusion factor of the secondary equipment after the correction corrects the maximum value in each group of early warning variables, namelyWith early warning variable peak->And the time period corresponding to the maximum value of the early warning variable and the equipment form a two-dimensional early warning vector. If the ith instantiation early-warning variable is greatly influenced by the physical operation condition of primary equipment of the circuit breaker, weighting factor offset operation is carried out on the obtained normalized fusion factor of secondary equipment, fusion calculation of primary information and secondary information is achieved, reliability of the early-warning variable is improved, and time positioning and equipment positioning can be achieved during fault tracing through establishing a two-dimensional early-warning vector containing a time period corresponding to a peak value of the early-warning variable and the maximum value of the early-warning variable and equipment.
Comparing the variable data peak variable with the corresponding variable radius threshold value,
step 7, taking a failure feature of preventing refusal action caused by the reason obtained in the step 4 as an alarm clustering center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the clustering; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
Specifically, the set peak threshold value is 1.05 times of the average value of the early warning variable. The early warning threshold value and the alarm threshold value are set according to the operation reliability requirement of the transformer substation, and the value range of the early warning threshold value and the alarm threshold value is not smaller than 1.
Specifically, as the sampled data of the circuit breaker has relevance in practice, the relevance of the data center is established by adopting a data probability statistical mode according to the coupling degree of the sampled data, and a step threshold is determined according to the relevance.
When the anti-movement early warning variable of the circuit breaker is analyzed, the accuracy and the reliability of the anti-movement analysis of the circuit breaker are improved by adopting the step clustering method with clearer data structure and more superior algorithm.
If the accumulated value of the anti-failure alarming times of the circuit breaker is not greater than the alarming threshold value, generating low-level anti-failure alarming of the circuit breaker, synchronously generating an evaluation result file in CIM/E language format, and providing a key analysis object for overhauling the circuit breaker. Wherein, the evaluation result file includes, but is not limited to, breaker analysis information and overhaul advice.
And 9, determining the same type of circuit breakers based on the transverse comparison index between the circuit breakers obtained in the step 4 according to the type of the circuit breakers for sending out the anti-operation alarm of the circuit breakers, and carrying out forced inspection early warning.
Specifically, after the anti-action alarm of the breaker is sent, the transverse association analysis of the breaker is started intelligently, the inspection analysis of the same type of breaker is forced to form the current breaker state statistical file of the whole station,
aiming at the same type of circuit breakers in a transformer substation, a transverse data analysis comparison mode is adopted, if a certain circuit breaker has risk early warning, risk monitoring of the same type of circuit breakers can be started according to acquisition parameters of the risk circuit breakers, and comprehensive research and judgment of total station circuit breaker anti-failure is realized. After comprehensive research and judgment, the whole analysis data standard can enter an intelligent analysis library for preventing the circuit breaker from being refused, so that data accumulation multiplexing is realized.
According to the primary equipment and secondary equipment data basic association relation, the primary equipment breaker operation mode is fused, the secondary on-line monitoring device collects secondary equipment information such as data and the like, the operation state of the breaker is comprehensively analyzed, reliable early warning information for preventing the breaker from moving is provided, a targeted material is provided for dynamically adjusting a breaker maintenance plan, the maintenance cost of an electric power system is reduced, and the reliability of power grid operation is improved.
The specific application result of the method provided by the invention is as follows:
and (3) sampling the on-line monitoring data of the anti-failure parameters of the circuit breaker for a plurality of times by adopting a fixed period algorithm (such as 10 seconds) or a circuit breaker action event triggering mode. And taking the temperature of a closing coil of the 201 circuit breaker as a center, adopting the intelligent analysis data of the same type of equipment to take the current value of the closing coil in the accident state, such as 1A, as a peak value threshold, and setting an early warning threshold as 15. And adding a secondary equipment fusion factor according to the mechanical fatigue degree of the running state of the circuit breaker, storing 20 pieces of current coil temperature section data in one-minute section data in a section iterative analysis mode for the historical data stored in the earlier stage, acquiring data section data with higher reliability based on a sampling difference method, and generating 201 a refusal prevention alarm of the circuit breaker when the accumulated value of the refusal prevention alarm times of the circuit breaker is larger than an alarm threshold value.
And finally, forming 201 a pre-alarm analysis report of the anti-failure of the circuit breaker.
Examples of analysis report formats are as follows:
the content comprises the attributes of voltage class, interval and name of the circuit breaker, factors for generating anti-action alarms, overhaul advice and the like. The method can provide reference basis for the on-site actual overhaul work plan, adjust overhaul tasks in real time and improve overhaul pertinence.
When the anti-movement warning of the circuit breaker is generated, the intelligent inspection analysis of other circuit breakers of the same type is started next, so that the operation working condition list of other circuit breakers is formed, and the operation and maintenance personnel can check the operation and maintenance work conveniently.
And if the reason of the anti-movement analysis of the circuit breaker is judged comprehensively, the typical standard is agreed to be formed, the analysis interface is configured in an operation mode, and the typical standard is added by clicking.
If the type of circuit breaker exists, the mode of only importing the typical standard library is needed to directly multiplex other substations, repeated establishment of resources is reduced, and engineering cost is reduced.
According to the method, the anti-operation analysis of the internal circuit breaker of a certain transformer substation can be realized, anti-operation alarm is generated, an anti-operation analysis file is formed, and specific reference data is provided for overhaul.
The invention also provides a circuit breaker anti-blocking system based on secondary information fusion of the transformer substation, which comprises: the system comprises an acquisition module, a data cluster module, a fusion module and an alarm module;
the acquisition module is used for acquiring the anti-operation parameters of the circuit breaker provided by a circuit breaker manufacturer and establishing a basic characteristic file of the anti-operation of the circuit breaker; wherein, the circuit breaker prevents refusing to move the parameter and includes: switching-on speed, switching-on coil current, switching-on coil temperature, switching-off speed, switching-off coil current, switching-off coil temperature and switching-off coil resistance; analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the on-line monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of primary and secondary information fusion operation of the circuit breaker, and storing on-line monitoring data of the anti-operation parameters of the circuit breaker in the basic association table;
the data cluster module is used for acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from the basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; establishing a circuit breaker anti-failure data cluster by utilizing the circuit breaker anti-failure reference value and the circuit breaker anti-failure parameters provided by manufacturers; classifying the anti-failure data clusters of the circuit breaker by using a step clustering method by taking the anti-failure fault index as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; establishing a transverse comparison index between circuit breakers with the same failure characteristics for preventing the same failure caused by the same reasons;
The fusion module is used for acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring the expectation that the mechanical fatigue data obeys normal distribution based on a statistical method, and acquiring secondary equipment fusion factors of the circuit breakers of different manufacturers, types and models by utilizing a neural network when the expectation is larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency;
the alarm module is used for sampling on-line monitoring data of the anti-operation parameters of the circuit breaker for a plurality of times when detecting the anti-operation of the circuit breaker, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-operation reference values of the circuit breaker to the sampling difference value; correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value; taking a failure feature of preventing refusal action caused by one reason obtained by clustering the data cluster module as an alarm cluster center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the clustering; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
The present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of the present disclosure can be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which can execute the computer readable program instructions.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. A circuit breaker anti-blocking method based on primary and secondary information fusion of a transformer substation is characterized by comprising the following steps:
step 1, acquiring a breaker anti-operation parameter provided by a breaker manufacturer, and establishing a breaker anti-operation basic feature file; wherein, the circuit breaker prevents refusing to move the parameter and includes: switching-on speed, switching-on coil current, switching-on coil temperature, switching-off speed, switching-off coil current, switching-off coil temperature and switching-off coil resistance;
step 2, analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the online monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of secondary information fusion operation of the circuit breaker, and storing online monitoring data of the anti-operation parameters of the circuit breaker in the basic association table;
Step 3, acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from a basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; establishing a circuit breaker anti-failure data cluster by utilizing the circuit breaker anti-failure reference value and the circuit breaker anti-failure parameters provided by manufacturers;
step 4, classifying the breaker anti-failure data clusters by using a step clustering method by taking the anti-failure indexes as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; establishing a transverse comparison index between circuit breakers with the same failure characteristics for preventing the same failure caused by the same reasons;
step 5, acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring expectations of the mechanical fatigue data obeying normal distribution based on a statistical method, and acquiring secondary equipment fusion factors of the circuit breakers of the different manufacturers, types and models by using a neural network when the expectations are larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency;
Step 6, when detecting the anti-refusal operation of the circuit breaker, sampling the on-line monitoring data of the anti-refusal operation parameters of the circuit breaker for a plurality of times, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-refusal operation reference value of the circuit breaker and the sampling difference value; correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value;
step 7, taking a failure feature of preventing refusal action caused by the reason obtained in the step 4 as an alarm clustering center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the step cluster; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
2. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
based on a keyword fuzzy matching method and an occurrence frequency retrieval method, obtaining anti-action parameter characteristic values from resource files of different anti-action parameters of the circuit breaker, and establishing a basic anti-action characteristic file of the circuit breaker by using the anti-action parameter characteristic values.
3. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
the sampling difference satisfies the following relation:
in the method, in the process of the invention,
s represents the sampling difference and,
n represents the number of on-line monitoring data per group,
x i representing the ith on-line monitoring data,
and x is a breaker anti-failure parameter provided by a manufacturer.
4. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
according to the model and factory parameters of the circuit breaker, the value range of the first-stage step threshold value in the circuit breaker anti-movement threshold value is more than or equal to 10 and less than or equal to 20, and according to the induction probability obtained through statistics, the rest first-stage step threshold values are set to be 60-70% of the first-stage step threshold value.
5. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
Step 4, establishing a breaker anti-action intelligent analysis library based on the combination of a breaker anti-action data cluster, a clustering method and a multistage step threshold setting, and accessing the breaker anti-action intelligent analysis library into all the breakers in a transformer substation based on IEC61850 or IEC60875-5-104 communication protocols;
and establishing a breaker transverse comparison analysis library in the breaker anti-failure intelligent analysis library based on the transverse comparison indexes among the breakers.
6. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
the obtaining of the secondary device fusion factor alpha using the neural network includes: and acquiring mechanical fatigue data and corresponding secondary equipment information of the circuit breakers of different manufacturers, types and models as training samples, constructing a model for acquiring a secondary equipment fusion factor based on a neural network, and training the model by using the training samples to acquire the secondary equipment fusion factor alpha of the circuit breakers of different manufacturers, types and models.
7. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 1, wherein,
the early warning variables are calculated by the following relation:
In the method, in the process of the invention,
z i representing the i-th early warning variable,
a sampling difference between a real-time sampling value of on-line monitoring data representing a breaker anti-bounce parameter and a breaker anti-bounce reference value provided by a manufacturer,
x i represents the ith on-line monitoring data, i=1, 2, …, n, n represents the number of on-line monitoring data per group,
and x is a breaker anti-failure parameter provided by a manufacturer.
8. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 7, wherein,
correcting the maximum value in each group of early warning variables by using the normalized primary and secondary equipment fusion factors, and meeting the following relation:
in the method, in the process of the invention,
alpha is a secondary device fusion factor and is used to determine the fusion factor,
in order to pre-warn the variable peak,
with early warning variable peak value z i And the time period corresponding to the maximum value of the early warning variable and the equipment form a two-dimensional early warning vector.
9. The method for preventing circuit breaker failure based on secondary information fusion of transformer substation according to claim 7, wherein,
the set peak value threshold value is 1.05 times of the average value of the early warning variable;
the early warning threshold value and the alarm threshold value are set according to the operation reliability requirement of the transformer substation, and the value range of the early warning threshold value and the alarm threshold value is not smaller than 1.
10. A circuit breaker anti-blocking system based on secondary information fusion of a substation for implementing the method of any one of claims 1-9, the system comprising: the system comprises an acquisition module, a data cluster module, a fusion module and an alarm module;
the acquisition module is used for acquiring the anti-operation parameters of the circuit breaker provided by a circuit breaker manufacturer and establishing a basic characteristic file of the anti-operation of the circuit breaker; wherein, the circuit breaker prevents refusing to move the parameter and includes: switching-on speed, switching-on coil current, switching-on coil temperature, switching-off speed, switching-off coil current, switching-off coil temperature and switching-off coil resistance; analyzing a transformer substation model file to obtain the connection relation between the circuit breaker and the on-line monitoring device, taking manufacturers, types and models of the circuit breakers as indexes, establishing a basic association table of primary and secondary information fusion operation of the circuit breaker, and storing on-line monitoring data of the anti-operation parameters of the circuit breaker in the basic association table;
the data cluster module is used for acquiring on-line monitoring data of the anti-failure parameters of the target circuit breaker from the basic association table according to the index of the target circuit breaker; calculating sampling difference between the on-line monitoring data and the circuit breaker anti-failure parameter in the basic characteristic file based on a sampling difference method, and taking the average value of the on-line monitoring data with the minimum sampling difference as a circuit breaker anti-failure reference value; establishing a circuit breaker anti-failure data cluster by utilizing the circuit breaker anti-failure reference value and the circuit breaker anti-failure parameters provided by manufacturers; classifying the anti-failure data clusters of the circuit breaker by using a step clustering method by taking the anti-failure fault index as a clustering center; setting a circuit breaker anti-rejection threshold as a multi-stage step threshold, wherein each stage step threshold is associated with one cause of rejection fault; for any step threshold, dividing a circuit breaker anti-failure reference value with the distance from a clustering center not larger than the step threshold into an anti-failure fault characteristic caused by a reason corresponding to the step threshold; establishing a transverse comparison index between circuit breakers with the same failure characteristics for preventing the same failure caused by the same reasons;
The fusion module is used for acquiring mechanical fatigue data of different manufacturers, types and models of circuit breakers in a fixed time period, acquiring the expectation that the mechanical fatigue data obeys normal distribution based on a statistical method, and acquiring secondary equipment fusion factors of the circuit breakers of different manufacturers, types and models by utilizing a neural network when the expectation is larger than a set mechanical threshold value; wherein the mechanical fatigue data includes spring displacement and fixed base vibration frequency;
the alarm module is used for sampling on-line monitoring data of the anti-operation parameters of the circuit breaker for a plurality of times when detecting the anti-operation of the circuit breaker, and obtaining a plurality of groups of early warning variables by utilizing the ratio of the difference value between a plurality of groups of real-time sampling values and the anti-operation reference values of the circuit breaker to the sampling difference value; correcting the maximum value in each group of early warning variables by using the normalized secondary equipment fusion factor to obtain an early warning variable peak value; taking a failure feature of preventing refusal action caused by one reason obtained by clustering the data cluster module as an alarm cluster center; starting from any alarm clustering center, adopting a step clustering method, accumulating the early warning times by 1 when the distance from the peak value of the early warning variable to the alarm clustering center is not more than a set peak value threshold value, and accumulating the anti-refusing alarm times by 1 when the accumulated value of the early warning times is not less than the alarm threshold value; setting a step threshold for any alarm cluster center, and jumping to the other alarm cluster center when the accumulated value of the early warning times under the alarm cluster center is larger than the step threshold, and repeating the clustering; and outputting the anti-refusal alarm of the circuit breaker when the accumulated value of the anti-refusal alarm times of the circuit breaker is larger than the alarm threshold after all alarm clustering centers finish clustering.
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| CN117913740A (en) * | 2024-03-19 | 2024-04-19 | 龙西电气有限公司 | Current switching method and system based on secondary fusion on-column circuit breaker |
| CN117913740B (en) * | 2024-03-19 | 2024-05-24 | 龙西电气有限公司 | Current switching method and system based on secondary fusion on-column circuit breaker |
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