CN108258802A - The monitoring method and device of the operation conditions of controller switching equipment in a kind of power distribution network - Google Patents
The monitoring method and device of the operation conditions of controller switching equipment in a kind of power distribution network Download PDFInfo
- Publication number
- CN108258802A CN108258802A CN201611241803.1A CN201611241803A CN108258802A CN 108258802 A CN108258802 A CN 108258802A CN 201611241803 A CN201611241803 A CN 201611241803A CN 108258802 A CN108258802 A CN 108258802A
- Authority
- CN
- China
- Prior art keywords
- controller switching
- value
- switching equipment
- index
- index parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 125
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 49
- 238000012806 monitoring device Methods 0.000 claims abstract description 11
- 238000003064 k means clustering Methods 0.000 claims description 8
- 241000196324 Embryophyta Species 0.000 description 6
- 241000208340 Araliaceae Species 0.000 description 5
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 5
- 235000003140 Panax quinquefolius Nutrition 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 5
- 235000008434 ginseng Nutrition 0.000 description 5
- 238000012512 characterization method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000000205 computational method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000003012 network analysis Methods 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000007621 cluster analysis Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
Classifications
-
- H02J13/0017—
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
An embodiment of the present invention provides a kind of monitoring methods of the operation conditions of controller switching equipment in power distribution network, the monitoring data transmitted by the monitoring unit set in controller switching equipment are received, the monitoring data include to characterize all index parameters of controller switching equipment operation conditions and the corresponding index value of the index parameter；All controller switching equipments are clustered to different classifications according to the index parameter of all controller switching equipment monitoring data, and according to clustering algorithm；Obtain the shared index parameter in all controller switching equipments in classification to be monitored；The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and the corresponding default weighted value of each shared index parameter, the operating index value of each controller switching equipment in the classification to be monitored is calculated, the operation conditions of each controller switching equipment in the classification to be monitored is determined based on the operating index value.The embodiment of the present invention additionally provides a kind of monitoring device of the operation conditions of controller switching equipment in power distribution network.
Description
Technical field
The present invention relates to a kind of prisons of the operation conditions of controller switching equipment in distribution network automated field more particularly to power distribution network
Survey method and apparatus.
Background technology
Power distribution network plays distribution electric energy for connecting power transmission network, distributed generation resource and all types of user in entire power network
Effect；In actual use, due to various reasons, power distribution network can break down, great so as to be caused to user and Utilities Electric Co.
Loss, therefore, it is necessary to fight off the generation of such case.In practice, a feasible method is occurred in controller switching equipment
With regard to that can pinpoint the problems before failure, on-call maintenance and/or replacement.For example, intelligent distribution network system is exactly for obtaining power distribution network
Then the data such as data, user data, electric network composition and geography information carry out Data Analysis Services, and then can be in power distribution network
Deterioration controller switching equipment in system is pinpointed the problems in time before breaking down, and notifies maintenance personal's on-call maintenance and/or replacement, this is just
Greatly reduce the probability that power distribution network breaks down.But existing intelligent network distribution system is only to monitoring more than taiwan area high-pressure side
Data are acquired, and have lacked the monitoring data of low-voltage distribution mesh portions, comprehensive which results in that cannot be carried out to power distribution network
Analysis, it is also possible to certain failures can be failed to report；This is because controller switching equipment in low-voltage distribution mesh portions is large number of, type is numerous
It is miscellaneous, and the quantity of monitoring data is very huge, and all disunities such as form, type and semanteme, so as to the monitoring to the part
The storage of data and analyzing and processing bring great difficulty.
Therefore, there is an urgent need for one kind to analyze, and can calculate in power distribution network monitoring data all in power distribution network
All controller switching equipments operation conditions score value method.
Invention content
In view of this, it is a primary object of the present invention to provide one kind to divide monitoring data all in power distribution network
Analysis, and the method and apparatus that the operation conditions score value of all controller switching equipments in power distribution network can be calculated.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way：
An embodiment of the present invention provides a kind of monitoring method of the operation conditions of controller switching equipment in power distribution network, including following step
Suddenly：
The monitoring data transmitted by the monitoring unit set in controller switching equipment are received, the monitoring data include to characterize
All index parameters of controller switching equipment operation conditions and the corresponding index value of the index parameter；
All controller switching equipments cluster is arrived according to the index parameter of all controller switching equipment monitoring data, and according to clustering algorithm
Different classifications；
Obtain the shared index parameter in all controller switching equipments in classification to be monitored；
The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each shared index ginseng
The corresponding default weighted value of number calculates the operating index value of each controller switching equipment in the classification to be monitored, based on the operation
Index value determines the operation conditions of each controller switching equipment in the classification to be monitored.
In said program, the index parameter according to all controller switching equipment monitoring data, and according to clustering algorithm by institute
There is controller switching equipment to cluster to different classifications, including：
Quantity, type and the corresponding index value of the index parameter of monitoring data according to the controller switching equipment, based on K-
Means clustering algorithms cluster to different classifications all controller switching equipments.
In said program, the index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each
The corresponding default weighted value of shared index parameter calculates the operating index value of each controller switching equipment in the classification to be monitored, packet
It includes：
The index value of the shared index parameter of all monitoring data of each controller switching equipment in the classification to be monitored, according to
The first weighted value corresponding to each shared index parameter of each controller switching equipment is obtained, and based on each shared index parameter according to entropy assessment
Default weighted value and the first corresponding weighted value calculate it is final corresponding to each shared index parameter of each controller switching equipment
Weighted value；And the default score value based on shared index parameter and the final weight corresponding in each controller switching equipment are worth to and respectively match
The operating index value of electric equipment.
In said program, the default weighted value based on each shared index parameter and the first corresponding weighted value calculate
Go out the final weight value corresponding to each shared index parameter of each controller switching equipment, including：
The product of the default weighted value of each shared index parameter of each controller switching equipment and the first corresponding weighted value is the
One numerical value, and the default weighted value of all shared index parameters with the product of the first corresponding weighted value and is the second number
It is worth, then quotient of the weighted value for the first numerical value and second value among each shared index parameter of each controller switching equipment.
In said program, the default score value based on shared index parameter and in each controller switching equipment it is corresponding final
Weight is worth to the operating index value of each controller switching equipment, including：
When determining that the default score value of any shared index parameter in each controller switching equipment is less than pre-set threshold value, then each distribution is set
Minimum value of the standby operating index value for default score value and the final weight value product of all shared index parameters, otherwise each distribution
The operating index value of equipment for default score value and the final weight value product of all shared index parameters and.
An embodiment of the present invention provides a kind of monitoring device of the operation conditions of controller switching equipment in power distribution network, including with lower die
Block：
Monitoring data receiving module, for receiving the monitoring data transmitted by the monitoring unit set in controller switching equipment, institute
Monitoring data are stated to include to characterize all index parameters of controller switching equipment operation conditions and the corresponding index of the index parameter
Value；
Cluster module, for the index parameter according to all controller switching equipment monitoring data, and will be all according to clustering algorithm
Controller switching equipment is clustered to different classifications；
Shared index parameter acquisition module, for obtaining the ginseng of the shared index in all controller switching equipments in classification to be monitored
Number；
Computing module, for the shared index parameter of each controller switching equipment in the classification to be monitored index value and
The corresponding default weighted value of each shared index parameter calculates the operating index value of each controller switching equipment in the classification to be monitored,
The operation conditions of each controller switching equipment in the classification to be monitored is determined based on the operating index value.
In said program, the cluster module is specifically used for：The index parameter of monitoring data according to the controller switching equipment
Quantity, type and corresponding index value, all controller switching equipments are clustered to different classifications based on K-Means clustering algorithms.
In said program, the computing module is specifically used for：Each controller switching equipment in the classification to be monitored owns
The index value of the shared index parameter of monitoring data is obtained according to entropy assessment corresponding to each shared index parameter of each controller switching equipment
The first weighted value, and the default weighted value based on each shared index parameter and the first corresponding weighted value calculate each distribution
Final weight value corresponding to each shared index parameter of equipment；And default score value based on shared index parameter and in each distribution
Corresponding final weight is worth to the operating index value of each controller switching equipment in equipment.
In said program, the computing module is specifically used for：The default weight of each shared index parameter of each controller switching equipment
Value and the product of corresponding the first weighted value are the first numerical value, and the default weighted value of all shared index parameters with it is corresponding
The first weighted value product and be second value, then weighted value is the among each shared index parameter of each controller switching equipment
The quotient of one numerical value and second value.
In said program, the computing module is specifically used for：Determine any shared index parameter in each controller switching equipment
When default score value is less than pre-set threshold value, then the operating index value of each controller switching equipment for all shared index parameters default score value with
The minimum value of final weight value product, otherwise the operating index value of each controller switching equipment is the default score value of all shared index parameters
With final weight value product and.
The monitoring method of the operation conditions of controller switching equipment in a kind of power distribution network that the embodiment of the present invention is provided receives distribution
The monitoring data transmitted by monitoring unit set in equipment, the monitoring data include to characterize controller switching equipment operation conditions
All index parameters and the corresponding index value of the index parameter；According to the index parameter of all controller switching equipment monitoring data,
And all controller switching equipments are clustered to different classifications according to clustering algorithm；It obtains in all controller switching equipments in classification to be monitored
Shared index parameter；The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each shared
The corresponding default weighted value of index parameter calculates the operating index value of each controller switching equipment in the classification to be monitored, based on institute
State the operation conditions for each controller switching equipment that operating index value is determined in the classification to be monitored.It can be right in this way, providing one kind
All monitoring data are analyzed in power distribution network, and can calculate the operation conditions score value of all controller switching equipments in power distribution network
Method.
Description of the drawings
Fig. 1 is the flow of the monitoring method of the operation conditions of controller switching equipment in a kind of power distribution network provided in an embodiment of the present invention
Schematic diagram；
Fig. 2 is one of the embodiment of the present invention and specifically includes monitoring data table；
Fig. 3 is a table for specifically including each index parameter entropy of the embodiment of the present invention；
Fig. 4 is the structure of the monitoring device of the operation conditions of controller switching equipment in a kind of power distribution network provided in an embodiment of the present invention
Schematic diagram；
Fig. 5 is the monitoring device of the operation conditions of controller switching equipment in a kind of specific power distribution network provided in an embodiment of the present invention
Structure diagram；
Specific embodiment
In the embodiment of the present invention, the monitoring data transmitted by the monitoring unit set in controller switching equipment, the monitoring are received
Data include to characterize all index parameters of controller switching equipment operation conditions and the corresponding index value of the index parameter；According to
The index parameter of all controller switching equipment monitoring data, and all controller switching equipments are clustered to different classifications according to clustering algorithm；
Obtain the shared index parameter in all controller switching equipments in classification to be monitored；Each distribution in the classification to be monitored is set
The index value of standby shared index parameter and the corresponding default weighted value of each shared index parameter are calculated in the classification to be monitored
Each controller switching equipment operating index value, each controller switching equipment in the classification to be monitored is determined based on the operating index value
Operation conditions.
With reference to embodiment, the present invention is further described in more detail.
An embodiment of the present invention provides a kind of monitoring method of the operation conditions of controller switching equipment in power distribution network, as shown in Figure 1,
Include the following steps：
Step 101：The monitoring data transmitted by the monitoring unit set in controller switching equipment are received, the monitoring data include
For characterizing all index parameters of controller switching equipment operation conditions and the corresponding index value of the index parameter；
In the operational process of controller switching equipment, the monitoring unit that is provided with can ceaselessly monitor its operation conditions, and with
The form of monitoring data is sent to intelligent distribution network system, so as to which intelligent distribution network system will receive all controller switching equipments
Monitoring data；The monitoring data of each controller switching equipment have its set form, comprising fixed index parameter and its corresponding index
Value, such as the state index of plant stand include：N-1 power supply capacities, full cut-off power supply capacity etc..
In the monitoring method, intelligent distribution network system needs to collect the monitoring number of all controller switching equipments in power distribution network
According to as a kind of optional technical solution, a data transmission network, such as optical-fiber network etc., for specially transmitting can be built
Monitoring data；Or monitoring data more than taiwan area high-pressure side are transmitted using existing intelligent network distribution system, and for other
Monitoring data, it is necessary to newdata transmission network.
Since the purposes of each controller switching equipment is different, manufacturer's difference etc., it is possible to each controller switching equipment be caused to have
The index parameter of its unique characterization operation conditions.
Step 102：All distribution are set according to the index parameter of all controller switching equipment monitoring data, and according to clustering algorithm
Standby cluster arrives different classifications；
Step 103：Obtain the shared index parameter in all controller switching equipments in classification to be monitored；
In practice, different controller switching equipments has the index parameter of different characterization operation conditions, monitoring data
Form, type and semanteme etc. are different from, and in low-voltage distribution mesh portions, and controller switching equipment is large number of, type is numerous and diverse, so as to
Just unique monitoring algorithm must be established to each controller switching equipment to monitor its operation conditions, but extremely difficult；Therefore, in this meter
In calculation method, in order to reduce the difficulty of calculating, intelligent distribution network system is classified controller switching equipment processing so that in same
Controller switching equipment in one classification has very high similitude, so as to establish monitoring algorithm for classification, and utilizes the prison
Therefore method of determining and calculating, can become easier to the operation conditions of all controller switching equipments in classification.For example, circuit is divided into city
Area's circuit and suburban line establish unique monitoring algorithm, to every in the circuit of city respectively to city circuit and suburban line
Using same monitoring algorithm, same monitoring algorithm is also all used to every circuit in suburban line for circuit, it is seen that
Its complexity can substantially reduce.
Intelligent distribution network system classifies to controller switching equipment using clustering algorithm, can cause the distribution in same category
Equipment similarity is as large as possible, it is different classes of in controller switching equipment between similarity it is small as much as possible.It may be used herein
Hierarchical clustering algorithm, segmentation clustering algorithm, the clustering algorithm based on constraint, the clustering algorithm in machine learning and for high-dimensional
Clustering algorithm etc..
Since the controller switching equipment in same category has very high similarity, in intelligent distribution network system, so that it may
To obtain the shared index parameter in all controller switching equipments in classification to be monitored, it is to be monitored to characterize this with shared index parameter
The operation conditions of all controller switching equipments in classification.Such as：The shared index parameter of plant stand includes：N-1 power supply capacities, full cut-off supply
Electric energy power and adjacent plant stand contact rate etc.；
Step 104：The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each common
There is the corresponding default weighted value of index parameter, calculate the operating index value of each controller switching equipment in the classification to be monitored, be based on
The operating index value determines the operation conditions of each controller switching equipment in the classification to be monitored.
Since the controller switching equipment in same category has similitude, all controller switching equipments in same category are adopted
With identical monitoring algorithm, it is therefore desirable to put forward the index value of the shared index parameter of each controller switching equipment.It is optional as one
Embodiment can also be standardized the index value of all shared index parameters so that they have identical dimension, and will
Qualitatively value is converted into quantitative values.
After intelligent distribution network system calculates the operation conditions of controller switching equipment, it is possible to be presented to administrator, manage
Member can judge probability of the controller switching equipment there are failure according to the operation conditions score value of the controller switching equipment, so as to
It timely repairs and/or replaces.
As an optional embodiment, since the quantity of the controller switching equipment in power distribution network is very huge, and each distribution
Equipment can ceaselessly send monitoring data, therefore can preserve these monitoring data with usage time sequence library.
In the embodiment of the present invention, the index parameter according to all controller switching equipment monitoring data, and according to clustering algorithm
All controller switching equipments are clustered to different classifications, including：The number of the index parameter of monitoring data according to the controller switching equipment
Amount, type and corresponding index value are clustered to different classifications all controller switching equipments based on K-Means clustering algorithms.
Here, can be using the step of K-Mean clustering algorithms：
1st, it determines an initial cluster center for each classification, thus there is k initial category center；In reality, one
A little controller switching equipments have determined the errorless classification for belonging to some, such as：According to its geographical location, it is possible to determine that circuit belongs to
Therefore these controller switching equipments, can be set as k initial cluster center by city circuit or suburban line etc.；
2nd, controller switching equipment is assigned to closest classification according to minimal distance principle；Due to the controller switching equipment in same category
With similar state index, for example quantity, the type of the index parameter in state index all have similitude, and same type
Index parameter value be in it is same within the scope of etc.；Therefore, it is possible to use the similitude of index parameter calculates two distribution
The distance between equipment；
3rd, using the controller switching equipment mean value in each classification as new class center；
4th, step 2,3 are repeated until class center no longer changes.
In practical power distribution network, it is to determine due to the purposes of each controller switching equipment, a usual controller switching equipment
Belong to some exact classification, i.e., few controller switching equipments belong to multiple and different classifications simultaneously, therefore, make in the computational methods
It can be restrained quickly with K-Means clustering algorithms.
In the embodiment of the present invention, the index value of the shared index parameter of each controller switching equipment in the classification to be monitored
And the corresponding default weighted value of each shared index parameter, calculate the operating index of each controller switching equipment in the classification to be monitored
Value, including：
The index value of the shared index parameter of all monitoring data of each controller switching equipment in the classification to be monitored, according to
The first weighted value corresponding to each shared index parameter of each controller switching equipment is obtained, and based on each shared index parameter according to entropy assessment
Default weighted value and the first corresponding weighted value calculate it is final corresponding to each shared index parameter of each controller switching equipment
Weighted value；And the default score value based on shared index parameter and the final weight corresponding in each controller switching equipment are worth to and respectively match
The operating index value of electric equipment.
Here, final weight is not only related with preset default weighted value, but also with the monitoring data of the controller switching equipment
It is related, obtain final weight value so as to make adaptation to default weighted value according to actual conditions.
Example for first weighted value of calculating below, Fig. 2 is the monitoring data of a circuit, including 12 group second
State index value, each second state index value include 4 index parameters, the i.e. online rate of line load rate, terminal, line loss per unit
With contact situation；Its calculating process is as follows：
1st, by each index parameter standardization：
Wherein, n be the circuit monitoring data quantity, value 12, m be share index parameter total quantity, value
It is 4, xijThe index value of j-th of index parameter for i-th of monitoring data, x 'ijJ-th of index ginseng for i-th of monitoring data
Value after the standardization of several index values；
2nd, parameter entropy：
Here, ejThe just index entropy for j-th of index parameter of i-th of monitoring data；In this example, refer to its value such as
Shown in Fig. 3；
3rd, the weight of each index parameter is calculated：
(1) information utility value is calculated：
Here,
In (2) first weighted values, the weighted value of each index parameter is：
In the embodiment of the present invention, the default weighted value based on each shared index parameter and the first corresponding weighted value
The final weight value corresponding to each shared index parameter of each controller switching equipment is calculated, including：
The product of the default weighted value of each shared index parameter of each controller switching equipment and the first corresponding weighted value is the
One numerical value, and the default weighted value of all shared index parameters with the product of the first corresponding weighted value and is the second number
It is worth, then quotient of the weighted value for the first numerical value and second value among each shared index parameter of each controller switching equipment.
4th, in final weight value, the weighted value of each index parameter is：
Wherein, w 'jTo preset the weighted value of each index parameter in weighted value.
In the embodiment of the present invention, the default score value based on shared index parameter and in each controller switching equipment it is corresponding
Final weight is worth to the operating index value of each controller switching equipment, including：Determine any shared index parameter in each controller switching equipment
Default score value be less than pre-set threshold value when, then the operating index value of each controller switching equipment be all shared index parameters default score value
With the minimum value of final weight value product, otherwise the operating index value of each controller switching equipment is that the default of all shared index parameters is divided
Value with final weight value product and.
The health status of so controller switching equipment is scored at：
Wherein CiTo share the score value of i-th of index parameter in index parameter, f is pre-
If threshold values.
An embodiment of the present invention provides a kind of monitoring device of the operation conditions of controller switching equipment in power distribution network, as shown in figure 4,
Including with lower module：
Monitoring data receiving module 1, for receiving the monitoring data transmitted by the monitoring unit set in controller switching equipment, institute
Monitoring data are stated to include to characterize all index parameters of controller switching equipment operation conditions and the corresponding index of the index parameter
Value；
In the operational process of controller switching equipment, the monitoring unit that is provided with can ceaselessly monitor its operation conditions, and with
The form of monitoring data is sent to intelligent distribution network system, so as to which intelligent distribution network system will receive all controller switching equipments
Monitoring data；The monitoring data of each controller switching equipment have its set form, comprising fixed index parameter and its corresponding index
Value, such as the state index of plant stand include：N-1 power supply capacities, full cut-off power supply capacity etc..
In the monitoring method, intelligent distribution network system needs to collect the monitoring number of all controller switching equipments in power distribution network
According to as a kind of optional technical solution, a data transmission network, such as optical-fiber network etc., for specially transmitting can be built
Monitoring data；Or monitoring data more than taiwan area high-pressure side are transmitted using existing intelligent network distribution system, and for other
Monitoring data, it is necessary to newdata transmission network.
Since the purposes of each controller switching equipment is different, manufacturer's difference etc., it is possible to each controller switching equipment be caused to have
The index parameter of its unique characterization operation conditions.
Cluster module 2, for the index parameter according to all controller switching equipment monitoring data, and will be all according to clustering algorithm
Controller switching equipment is clustered to different classifications；
Shared index parameter acquisition module 3, for obtaining the shared index in all controller switching equipments in classification to be monitored
Parameter；
In practice, different controller switching equipments has the index parameter of different characterization operation conditions, monitoring data
Form, type and semanteme etc. are different from, and in low-voltage distribution mesh portions, and controller switching equipment is large number of, type is numerous and diverse, so as to
Just unique monitoring algorithm must be established to each controller switching equipment to monitor its operation conditions, but extremely difficult；Therefore, in this meter
In calculation method, in order to reduce the difficulty of calculating, intelligent distribution network system is classified controller switching equipment processing so that in same
Controller switching equipment in one classification has very high similitude, so as to establish monitoring algorithm for classification, and utilizes the prison
Therefore method of determining and calculating, can become easier to the operation conditions of all controller switching equipments in classification.For example, circuit is divided into city
Area's circuit and suburban line establish unique monitoring algorithm, to every in the circuit of city respectively to city circuit and suburban line
Using same monitoring algorithm, same monitoring algorithm is also all used to every circuit in suburban line for circuit, it is seen that
Its complexity can substantially reduce.
Intelligent distribution network system classifies to controller switching equipment using clustering algorithm, can cause the distribution in same category
Equipment similarity is as large as possible, it is different classes of in controller switching equipment between similarity it is small as much as possible.It may be used herein
Hierarchical clustering algorithm, segmentation clustering algorithm, the clustering algorithm based on constraint, the clustering algorithm in machine learning and for high-dimensional
Clustering algorithm etc..
Since the controller switching equipment in same category has very high similarity, in intelligent distribution network system, so that it may
To obtain the shared index parameter in all controller switching equipments in classification to be monitored, it is to be monitored to characterize this with shared index parameter
The operation conditions of all controller switching equipments in classification.Such as：The shared index parameter of plant stand includes：N-1 power supply capacities, full cut-off supply
Electric energy power and adjacent plant stand contact rate etc.；
Computing module 4, for the index value of the shared index parameter of each controller switching equipment in the classification to be monitored
And the corresponding default weighted value of each shared index parameter, calculate the operating index of each controller switching equipment in the classification to be monitored
Value determines the operation conditions of each controller switching equipment in the classification to be monitored based on the operating index value.
Since the controller switching equipment in same category has similitude, all controller switching equipments in same category are adopted
With identical monitoring algorithm, it is therefore desirable to put forward the index value of the shared index parameter of each controller switching equipment.It is optional as one
Embodiment can also be standardized the index value of all shared index parameters so that they have identical dimension, and will
Qualitatively value is converted into quantitative values.
After intelligent distribution network system calculates the operation conditions of controller switching equipment, it is possible to be presented to administrator, manage
Member can judge probability of the controller switching equipment there are failure according to the operation conditions score value of the controller switching equipment, so as to
It timely repairs and/or replaces.
As an optional embodiment, since the quantity of the controller switching equipment in power distribution network is very huge, and each distribution
Equipment can ceaselessly send monitoring data, therefore can preserve these monitoring data with usage time sequence library.
In the embodiment of the present invention, the cluster module is specifically used for：The index of monitoring data according to the controller switching equipment
Quantity, type and the corresponding index value of parameter are clustered to different classes all controller switching equipments based on K-Means clustering algorithms
Not.
Here, can be using the step of K-Mean clustering algorithms：
1st, it determines an initial cluster center for each classification, thus there is k initial category center；In reality, one
A little controller switching equipments have determined the errorless classification for belonging to some, such as：According to its geographical location, it is possible to determine that circuit belongs to
Therefore these controller switching equipments, can be set as k initial cluster center by city circuit or suburban line etc.；
2nd, controller switching equipment is assigned to closest classification according to minimal distance principle；Due to the controller switching equipment in same category
With similar state index, for example quantity, the type of the index parameter in state index all have similitude, and same type
Index parameter value be in it is same within the scope of etc.；Therefore, it is possible to use the similitude of index parameter calculates two distribution
The distance between equipment；
3rd, using the controller switching equipment mean value in each classification as new class center；
4th, step 2,3 are repeated until class center no longer changes.
In practical power distribution network, it is to determine due to the purposes of each controller switching equipment, a usual controller switching equipment
Belong to some exact classification, i.e., few controller switching equipments belong to multiple and different classifications simultaneously, therefore, make in the computational methods
It can be restrained quickly with K-Means clustering algorithms.
In the embodiment of the present invention, the computing module is specifically used for：According to each controller switching equipment in the classification to be monitored
The index value of the shared index parameter of all monitoring data obtains each shared index parameter institute of each controller switching equipment according to entropy assessment
Corresponding first weighted value, and the default weighted value based on each shared index parameter and the first corresponding weighted value calculate respectively
Final weight value corresponding to each shared index parameter of controller switching equipment；And default score value based on shared index parameter and each
Corresponding final weight is worth to the operating index value of each controller switching equipment in controller switching equipment.
Here, final weight is not only related with preset default weighted value, but also with the monitoring data of the controller switching equipment
It is related, obtain final weight value so as to make adaptation to default weighted value according to actual conditions.
Example for first weighted value of calculating below, Fig. 2 is the monitoring data of a circuit, including 12 group second
State index value, each second state index value include 4 index parameters, the i.e. online rate of line load rate, terminal, line loss per unit
With contact situation；Its calculating process is as follows：
1st, by each index parameter standardization：
Wherein, n be the circuit monitoring data quantity, value 12, m be share index parameter total quantity, value
It is 4, xijThe index value of j-th of index parameter for i-th of monitoring data, x 'ijJ-th of index ginseng for i-th of monitoring data
Value after the standardization of several index values；
2nd, parameter entropy：
Here, ejThe just index entropy for j-th of index parameter of i-th of monitoring data；In this example, refer to its value such as
Shown in Fig. 3；
3rd, the weight of each index parameter is calculated：
(1) information utility value is calculated：
Here,
In (2) first weighted values, the weighted value of each index parameter is：
In the embodiment of the present invention, the computing module is specifically used for：Each shared index parameter of each controller switching equipment is preset
The product of weighted value and the first corresponding weighted value is the first numerical value, and the default weighted value of all shared index parameters and institute
Corresponding first weighted value product and be second value, then weighted value among each shared index parameter of each controller switching equipment
Quotient for the first numerical value and second value.
4th, in final weight value, the weighted value of each index parameter is：
Wherein, w 'jTo preset the weighted value of each index parameter in weighted value.
In the embodiment of the present invention, the computing module is specifically used for：Determine any shared index ginseng in each controller switching equipment
When several default score values is less than pre-set threshold value, then the operating index value of each controller switching equipment is divided for the default of all shared index parameters
The minimum value of value and final weight value product, otherwise the operating index value of each controller switching equipment is the default of all shared index parameters
Score value and final weight value product and.
The health status of so controller switching equipment is scored at：
Wherein CiTo share the score value of i-th of index parameter in index parameter, f is pre-
If threshold values.
An embodiment of the present invention provides a kind of monitoring device of the operation conditions of controller switching equipment in power distribution network, as shown in figure 5,
Including with lower module：
Intelligent distribution network supporting system technology for storing related data, and is provided out the input and reading of data
The interface taken stores monitoring time sequence library, the time series data for inputting and reading monitoring data including being used for
Library access interface, for store relation data relational database, for input and read the relational database of relation data visit
Ask interface；In order to quick access relational databases, the setting memory cache in relational database is provided out interior
Warehousing access interface, the file server of storage file provide file input and the file access interface read, store application
Application server and the messaging bus that application input and reading interface are provided；
Data access layer, for providing unified data access interface upwards, including uniform data access service and alarm
Service, uniform data access service provide unified data access interface upwards, and shielding intelligent distribution network dispatching technique supports system
The difference of each interface of system, if alerting service is broken down for data storage, provides warning message；
Basic supporting layer, including data preprocessing module, these modules of cluster analysis, assessment models and assessment algorithm,
The data, for converting the monitoring data received, are allowed to form unified form, cluster point with processing module
Analysis arrives not all controller switching equipments cluster according to clustering algorithm for the index parameter according to all controller switching equipment monitoring data
Same classification, assessment models are used to share index parameters for different classifications settings, and assessment algorithm is for according to each controller switching equipment
The index value of shared index parameter and the corresponding default weighted value of each shared index parameter, calculate in the classification to be monitored
The operating index value of each controller switching equipment；
Failure reports layer, for determining the fortune of each controller switching equipment in the classification to be monitored based on the operating index value
Row situation；
Visualize layer, for by the operation conditions graphical representation of controller switching equipment to user.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (10)
1. the monitoring method of the operation conditions of controller switching equipment in a kind of power distribution network, which is characterized in that include the following steps：
The monitoring data transmitted by the monitoring unit set in controller switching equipment are received, the monitoring data include to characterize distribution
All index parameters of equipment operation condition and the corresponding index value of the index parameter；
All controller switching equipments are clustered to difference according to the index parameter of all controller switching equipment monitoring data, and according to clustering algorithm
Classification；
Obtain the shared index parameter in all controller switching equipments in classification to be monitored；
The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each shared index parameter pair
The default weighted value answered calculates the operating index value of each controller switching equipment in the classification to be monitored, based on the operating index
Value determines the operation conditions of each controller switching equipment in the classification to be monitored.
2. the monitoring method of the operation conditions of controller switching equipment in power distribution network according to claim 1, which is characterized in that described
All controller switching equipments are clustered to different classes according to the index parameter of all controller switching equipment monitoring data, and according to clustering algorithm
Not, including：
Quantity, type and the corresponding index value of the index parameter of monitoring data according to the controller switching equipment, based on K-Means
Clustering algorithm clusters to different classifications all controller switching equipments.
3. the monitoring method of the operation conditions of controller switching equipment in power distribution network according to claim 1, which is characterized in that according to
The index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each shared index parameter are corresponding default
Weighted value calculates the operating index value of each controller switching equipment in the classification to be monitored, including：
The index value of the shared index parameter of all monitoring data of each controller switching equipment in the classification to be monitored, according to entropy
Power method obtains the first weighted value corresponding to each shared index parameter of each controller switching equipment, and based on the pre- of each shared index parameter
If weighted value and the first corresponding weighted value calculate the final weight corresponding to each shared index parameter of each controller switching equipment
Value；And the default score value based on shared index parameter and the final weight corresponding in each controller switching equipment are worth to each distribution and set
Standby operating index value.
4. the monitoring method of the operation conditions of controller switching equipment in power distribution network according to claim 3, which is characterized in that described
Default weighted value and the first corresponding weighted value based on each shared index parameter calculate each shared finger of each controller switching equipment
The final weight value corresponding to parameter is marked, including：
The product of the default weighted value of each shared index parameter of each controller switching equipment and the first corresponding weighted value is the first number
Value, and the default weighted value of all shared index parameters and the first corresponding weighted value product and be second value, then
Quotient of the weighted value for the first numerical value and second value among each shared index parameter of each controller switching equipment.
5. the monitoring method of the operation conditions of controller switching equipment in power distribution network according to claim 4, which is characterized in that described
Default score value and corresponding final weight in each controller switching equipment based on shared index parameter are worth to each controller switching equipment
Operating index value, including：
When determining that the default score value of any shared index parameter in each controller switching equipment is less than pre-set threshold value, then each controller switching equipment
Minimum value of the operating index value for default score value and the final weight value product of all shared index parameters, otherwise each controller switching equipment
Operating index value for default score value and the final weight value product of all shared index parameters and.
6. the monitoring device of the operation conditions of controller switching equipment in a kind of power distribution network, which is characterized in that including with lower module：
Monitoring data receiving module, for receiving the monitoring data transmitted by the monitoring unit set in controller switching equipment, the prison
Measured data includes to characterize all index parameters of controller switching equipment operation conditions and the corresponding index value of the index parameter；
Cluster module, for the index parameter according to all controller switching equipment monitoring data, and according to clustering algorithm by all distribution
Equipment is clustered to different classifications；
Shared index parameter acquisition module, for obtaining the shared index parameter in all controller switching equipments in classification to be monitored；
Computing module, for the index value of the shared index parameter of each controller switching equipment in the classification to be monitored and each common
There is the corresponding default weighted value of index parameter, calculate the operating index value of each controller switching equipment in the classification to be monitored, be based on
The operating index value determines the operation conditions of each controller switching equipment in the classification to be monitored.
7. the monitoring device of the operation conditions of controller switching equipment in power distribution network according to claim 6, which is characterized in that described
Cluster module is specifically used for：
Quantity, type and the corresponding index value of the index parameter of monitoring data according to the controller switching equipment, based on K-Means
Clustering algorithm clusters to different classifications all controller switching equipments.
8. the monitoring device of the operation conditions of controller switching equipment in power distribution network according to claim 6, which is characterized in that described
Computing module is specifically used for：
The index value of the shared index parameter of all monitoring data of each controller switching equipment in the classification to be monitored, according to entropy
Power method obtains the first weighted value corresponding to each shared index parameter of each controller switching equipment, and based on the pre- of each shared index parameter
If weighted value and the first corresponding weighted value calculate the final weight corresponding to each shared index parameter of each controller switching equipment
Value；And the default score value based on shared index parameter and the final weight corresponding in each controller switching equipment are worth to each distribution and set
Standby operating index value.
9. the monitoring device of the operation conditions of controller switching equipment in power distribution network according to claim 6, which is characterized in that described
Computing module is specifically used for：The default weighted value of each shared index parameter of each controller switching equipment and the first corresponding weighted value
Product for the first numerical value, and the default weighted value of all shared index parameters and the product of the first corresponding weighted value and
For second value, then quotient of the weighted value for the first numerical value and second value among each shared index parameter of each controller switching equipment.
10. the monitoring device of the operation conditions of controller switching equipment in power distribution network according to claim 9, which is characterized in that institute
Computing module is stated, is specifically used for：Determine that the default score value of any shared index parameter in each controller switching equipment is less than pre-set threshold value
When, then the operating index value of each controller switching equipment is the default score value of all shared index parameters and the minimum of final weight value product
Value, otherwise the operating index value of each controller switching equipment is the default score value of all shared index parameters and final weight value product
With.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611241803.1A CN108258802B (en) | 2016-12-29 | 2016-12-29 | Method and device for monitoring running condition of power distribution equipment in power distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611241803.1A CN108258802B (en) | 2016-12-29 | 2016-12-29 | Method and device for monitoring running condition of power distribution equipment in power distribution network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108258802A true CN108258802A (en) | 2018-07-06 |
| CN108258802B CN108258802B (en) | 2020-07-03 |
Family
ID=62720458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611241803.1A Active CN108258802B (en) | 2016-12-29 | 2016-12-29 | Method and device for monitoring running condition of power distribution equipment in power distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108258802B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110221173A (en) * | 2019-06-20 | 2019-09-10 | 国网上海市电力公司 | A kind of power distribution network intelligent diagnosing method based on big data driving |
| CN110247477A (en) * | 2019-06-19 | 2019-09-17 | 广东电网有限责任公司 | A kind of monitoring method and monitoring device of equipment on-line situation |
| CN116703171A (en) * | 2023-05-25 | 2023-09-05 | 国网四川省电力公司电力科学研究院 | Intelligent evaluation system of power distribution network based on edge calculation |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8078567B1 (en) * | 2008-12-31 | 2011-12-13 | John Cadick | System and method for condition based maintenance for electrical equipment |
| CN102509178A (en) * | 2011-11-25 | 2012-06-20 | 江苏省电力公司淮安供电公司 | Distribution network device status evaluating system |
| CN103514368A (en) * | 2013-09-18 | 2014-01-15 | 燕山大学 | Real-time and stage theory line loss fast estimation method with clustering technique adopted |
| CN103617561A (en) * | 2013-12-02 | 2014-03-05 | 深圳供电局有限公司 | System and method for evaluating state of secondary equipment of power grid intelligent substation |
| CN104123678A (en) * | 2014-07-12 | 2014-10-29 | 东北电力大学 | Electricity relay protection status overhaul method based on status grade evaluation model |
| CN104268367A (en) * | 2014-08-06 | 2015-01-07 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Substation equipment state evaluation weight correction method and system based on multiple linear regression |
| CN105406461A (en) * | 2015-10-21 | 2016-03-16 | 广西电网有限责任公司北海供电局 | Adaptive dynamic load monitoring method for power distribution network power failure events |
| CN106204330A (en) * | 2016-07-18 | 2016-12-07 | 国网山东省电力公司济南市历城区供电公司 | A kind of power distribution network intelligent diagnosis system |
| CN106203867A (en) * | 2016-07-19 | 2016-12-07 | 国家电网公司 | Grid division methods based on power distribution network assessment indicator system and cluster analysis |
-
2016
- 2016-12-29 CN CN201611241803.1A patent/CN108258802B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8078567B1 (en) * | 2008-12-31 | 2011-12-13 | John Cadick | System and method for condition based maintenance for electrical equipment |
| CN102509178A (en) * | 2011-11-25 | 2012-06-20 | 江苏省电力公司淮安供电公司 | Distribution network device status evaluating system |
| CN103514368A (en) * | 2013-09-18 | 2014-01-15 | 燕山大学 | Real-time and stage theory line loss fast estimation method with clustering technique adopted |
| CN103617561A (en) * | 2013-12-02 | 2014-03-05 | 深圳供电局有限公司 | System and method for evaluating state of secondary equipment of power grid intelligent substation |
| CN104123678A (en) * | 2014-07-12 | 2014-10-29 | 东北电力大学 | Electricity relay protection status overhaul method based on status grade evaluation model |
| CN104268367A (en) * | 2014-08-06 | 2015-01-07 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Substation equipment state evaluation weight correction method and system based on multiple linear regression |
| CN105406461A (en) * | 2015-10-21 | 2016-03-16 | 广西电网有限责任公司北海供电局 | Adaptive dynamic load monitoring method for power distribution network power failure events |
| CN106204330A (en) * | 2016-07-18 | 2016-12-07 | 国网山东省电力公司济南市历城区供电公司 | A kind of power distribution network intelligent diagnosis system |
| CN106203867A (en) * | 2016-07-19 | 2016-12-07 | 国家电网公司 | Grid division methods based on power distribution network assessment indicator system and cluster analysis |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110247477A (en) * | 2019-06-19 | 2019-09-17 | 广东电网有限责任公司 | A kind of monitoring method and monitoring device of equipment on-line situation |
| CN110247477B (en) * | 2019-06-19 | 2021-03-12 | 广东电网有限责任公司 | Method and device for monitoring online condition of equipment |
| CN110221173A (en) * | 2019-06-20 | 2019-09-10 | 国网上海市电力公司 | A kind of power distribution network intelligent diagnosing method based on big data driving |
| CN110221173B (en) * | 2019-06-20 | 2021-06-04 | 国网上海市电力公司 | Power distribution network intelligent diagnosis method based on big data drive |
| CN116703171A (en) * | 2023-05-25 | 2023-09-05 | 国网四川省电力公司电力科学研究院 | Intelligent evaluation system of power distribution network based on edge calculation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108258802B (en) | 2020-07-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107302466B (en) | Big data analysis platform and method for dynamic loop monitoring system | |
| CN106209432B (en) | Network equipment inferior health method for early warning and device based on dynamic threshold | |
| CN106941423B (en) | Failure cause localization method and device | |
| CN106199276B (en) | The intelligent diagnosis system and method for exception information in a kind of power information acquisition system | |
| CN114282434A (en) | Industrial equipment health management system and method | |
| CN106570778B (en) | A kind of method that data integration based on big data is calculated with line loss analyzing | |
| CN107577588A (en) | A kind of massive logs data intelligence operational system | |
| CN106844138A (en) | O＆M warning system and method | |
| CN109948808A (en) | The banking process in substation equipment fault case library, fault diagnosis method and system | |
| CN109450094A (en) | A kind of substation relay protection method for inspecting and system | |
| CN110162445A (en) | The host health assessment method and device of Intrusion Detection based on host log and performance indicator | |
| CN104468220A (en) | Early warning control platform of power telecommunication network | |
| CN110119851A (en) | A kind of building Mechatronic Systems intelligent fault prediction technique and system | |
| CN112467724A (en) | Low-voltage distribution network fault studying and judging method | |
| CN108696371B (en) | Network fault determination method and system | |
| CN116506339A (en) | Network security real-time monitoring and analyzing system for power industry | |
| CN109697332A (en) | A kind of exception monitoring scheme of the stream calculation system based on unsupervised learning method | |
| CN108258802A (en) | The monitoring method and device of the operation conditions of controller switching equipment in a kind of power distribution network | |
| CN115730749A (en) | Electric power dispatching risk early warning method and device based on fused electric power data | |
| CN117390403A (en) | Power grid fault detection method and system for new energy lighthouse power station | |
| CN113740666B (en) | Method for positioning root fault of storm alarm in power system of data center | |
| CN117391675B (en) | Data center infrastructure operation and maintenance management method | |
| CN114202179A (en) | Target enterprise identification method and device | |
| CN115689320A (en) | Health management method and device for base station operation and computer readable storage medium | |
| CN115865611A (en) | Fault processing method and device of network equipment and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |