CN106844851A - A kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station - Google Patents
A kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station Download PDFInfo
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Abstract
A kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station, monitors self adaptation and the optimization of all kinds of diagnostic models on-line for transformer station.The dynamic link library of model containing on-line monitoring and diagnosis, XML configuration file and adaptive algorithm.It is the form that dynamic link library will be compiled into for the diagnostic model of transformer station's on-line monitoring, it is copied directly to above the memory space of on-line monitoring equipment or diagnostic device, coordinate corresponding XML configuration file and adaptive algorithm again realize all kinds of diagnostic models use whether, the requirement of priority level and model interface, so as to realize voluntarily matching and the self adaptation of the other on-line monitoring and diagnosis model of variety classes.A kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station of the invention can realize the self-adapted call of all kinds of variety classeses, the diagnostic model of classification according to algorithm, solve various diagnostic models and be unable to self adaptation, the Embarrassing borders that can only be used alone, algorithm is easy to use, it is easy to use, it is high using the degree of accuracy.
Description
Technical field
The present invention relates to converting equipment on-line monitoring technique field, in particular, it is related to a kind of exist for transformer station
Line monitoring, diagnosing model adaptation algorithm.
Background technology
With the fast development of power automation technology, Power Electronic Technique and computer network communication technology, in the market
Various intelligent automatic devices are emerged, these devices are widely used in transformer station's on-line monitoring field, so as to promote
The development of power transformation on-line monitoring technique, respective producer combines the demand of transformer station, and exploitation is devised to be supervised online for transformer
The various models of diagnosis, breaker on-line monitoring, capacitive apparatus on-line monitoring and sleeve pipe on-line monitoring and diagnosis are surveyed to converting equipment
Carry out monitoring fault diagnosis and prediction on-line, so that all kinds of diagnosis of different manufacturers, forecast model are more and more, but these are not
The diagnostic model of same type is all single use, or when changing the use of these models when needing to use by system
Machine, does not have a kind of algorithm to be directed to different types of on-line monitoring and diagnosis model adaptation so that different types of diagnosis mould
Type can be used simultaneously.
The content of the invention
The purpose of the present invention is to propose to a kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station, can be compatible
With the different types of diagnostic model of self adaptation.
To realize above technical purpose, the present invention proposes a kind of on-line monitoring and diagnosis model adaptation for transformer station
Algorithm, including on-line monitoring and diagnosis model dynamic link library, XML configuration file and adaptive algorithm.
The purpose of the present invention is achieved by the following technical solution.
A kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station, the invention is characterised in that, including online prison
Survey diagnostic model dynamic link library, XML configuration file and adaptive algorithm;Wherein:
The on-line monitoring and diagnosis model dynamic link library includes that transformer online monitoring diagnostic model, breaker are supervised online
Survey diagnostic model, 4 kinds of model dynamic link libraries of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model;
The XML configuration file include dynamic link library name, classification, mark, priority level, whether immediately using, make
With state, dynamic link library call function title, mode input parameter type, mode input number of parameters, model output parameters
Type, model output parameters number;
Described dynamic link library name be stored in above the memory space of on-line monitoring equipment or diagnostic device
On-line monitoring and diagnosis model name is identical;
Classification in described XML configuration file includes:Transformer online monitoring diagnostic model classification, breaker are supervised online
Survey diagnostic model, 4 kinds of models of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model, respectively with " 0 ",
" 1 ", " 2 ", " 3 " represent;
Mark in XML configuration file of the present invention includes:Oil chromatography, iron core grounding current in transformer online monitoring,
Wei Shui, micro- gas, are represented with " a ", " b ", " c ", " d " respectively;Mechanical property parameter, electrical characteristic in breaker on-line monitoring
Parameter, state of insulation parameter, are represented with " e ", " f ", " g " respectively;Reactor, capacitor voltage in capacitive apparatus on-line monitoring
Transformer, current transformer, disconnecting switch, insulator, arc suppression coil, arrester, respectively with " h ", " i ", " j ", " k ", " l ",
" m " " n " is represented;C2H2 contents, H2 contents, capacitance, dielectric loss, end shield earth resistance in sleeve pipe on-line monitoring, use respectively
" o ", " p ", " q ", " r ", " s " are represented;
Priority level in described XML configuration file represents the height of the preferential executive level of dynamic link library, including
Highest executive level, secondary executive level, three kinds of minimum executive level, are represented with " 1 ", " 2 ", " 3 " respectively;
In described XML configuration file whether be immediately performed including be with it is no, respectively with " t ", " f " represent;
Use state in described XML configuration file includes being currently in use and not using two states, uses respectively
" T ", " F " are represented;
Dynamic link library call function title representation program in described XML configuration file is used when calling the model library
Function name;
When mode input parameter type in described XML configuration file represents the function of the routine call model, transmission
Parameter type, including the type of bool, int, string, float tetra-;
Mode input number of parameters representation program in described XML configuration file calls what is transmitted during the function of the model
Number of parameters;
When model output parameters type in described XML configuration file represents the function of the routine call model, transmission
Parameter type, including the type of bool, int, string, float tetra-;
Model output parameters number representation program in described XML configuration file calls what is transmitted during the function of the model
Number of parameters.
Adaptive algorithm of the present invention needs that diagnostic model dynamic link library is first copied to on-line monitoring equipment before performing
Or above the memory space of diagnostic device, and set up XML configuration file;Wherein XML configuration file is calculated after completion is configured
Method model starts to be performed according to following steps:
Step 1:Content → detection XML that program starts to perform → load dynamic link library → reading XML configuration file matches somebody with somebody
Put file format whether standard, "Yes" perform step 2, "No" program perform terminate, return to step 1;
Step 2:Set up title → reading MAP that XML configuration file MAP maps → obtained from store path dynamic link library
Dynamic link library name in mapping → compare whether title is identical, "Yes" performs step 3, and "No" program is performed and terminated, returns
Step 1;
Step 3:Read classification → acquisition transformer online monitoring diagnostic model classification (0), the open circuit respectively in MAP mappings
Device on-line monitoring and diagnosis model (1), capacitive apparatus on-line monitoring and diagnosis model (2) and sleeve pipe on-line monitoring and diagnosis model (3), hold
Row step 4;
Step 4:Transformer online monitoring diagnostic model classification (0) gets the oil chromatography in transformer online monitoring respectively
(a), iron core grounding current (b), micro- water (c), micro- gas (d);Breaker on-line monitoring and diagnosis model (1) obtain mechanical spy respectively
Property parameter (e), electrical characteristic parameter (f), state of insulation parameter (g);Capacitive apparatus on-line monitoring and diagnosis model (2) are obtained respectively
Reactor (h), capacitance type potential transformer (i), current transformer (j), disconnecting switch (k), insulator (l), arc suppression coil
(m), arrester (n);Sleeve pipe on-line monitoring and diagnosis model (3) obtain respectively C2H2 contents (o), H2 contents (p), capacitance (q),
Dielectric loss (r), end shield earth resistance (s), perform step 5 afterwards;
Step 5:Judge preferential executive level → judge whether to be immediately performed → judge use state → reading call function
Title → reading call function |input paramete type → reading call function |input paramete number → reading call function output ginseng
Several classes of type → reading call function output parameter number → self-adapting program is performed and terminated;By 5 execution of step, self adaptation
Algorithm routine finally confirm program operation preferential executive level, whether be immediately performed, use state, afterwards again by calling
Function input parameters type, call function |input paramete number, call function output parameter type and call function output parameter
Number is determined and preferentially call which program is performed, so as to realize the self adaptation of on-line monitoring and diagnosis model.
The beneficial effects of the invention are as follows with a kind of on-line monitoring and diagnosis model adaptation algorithm use letter for transformer station
Single, convenience, as long as setting parameters according to configuration requirement, just can simultaneously use all kinds of different classes of diagnostic models, high
What is imitated makes all kinds of diagnostic model self adaptations.
The present invention is further explained with specific embodiment below in conjunction with the accompanying drawings.
Brief description of the drawings
Accompanying drawing 1 is a kind of flow of embodiment of on-line monitoring and diagnosis model adaptation algorithm one for transformer station of the invention
Block diagram.
Specific embodiment
As shown in figure 1, a kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station, the invention is characterised in that,
Including on-line monitoring and diagnosis model dynamic link library, XML configuration file and adaptive algorithm;Wherein:
The on-line monitoring and diagnosis model dynamic link library includes that transformer online monitoring diagnostic model, breaker are supervised online
Survey diagnostic model, 4 kinds of model dynamic link libraries of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model;
The XML configuration file include dynamic link library name, classification, mark, priority level, whether immediately using, make
With state, dynamic link library call function title, mode input parameter type, mode input number of parameters, model output parameters
Type, model output parameters number;
Described dynamic link library name be stored in above the memory space of on-line monitoring equipment or diagnostic device
On-line monitoring and diagnosis model name is identical;
Classification in described XML configuration file includes:Transformer online monitoring diagnostic model classification, breaker are supervised online
Survey diagnostic model, 4 kinds of models of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model, respectively with " 0 ",
" 1 ", " 2 ", " 3 " represent;
Mark in XML configuration file of the present invention includes:Oil chromatography, iron core grounding current in transformer online monitoring,
Wei Shui, micro- gas, are represented with " a ", " b ", " c ", " d " respectively;Mechanical property parameter, electrical characteristic in breaker on-line monitoring
Parameter, state of insulation parameter, are represented with " e ", " f ", " g " respectively;Reactor, capacitor voltage in capacitive apparatus on-line monitoring
Transformer, current transformer, disconnecting switch, insulator, arc suppression coil, arrester, respectively with " h ", " i ", " j ", " k ", " l ",
" m " " n " is represented;C2H2 contents, H2 contents, capacitance, dielectric loss, end shield earth resistance in sleeve pipe on-line monitoring, use respectively
" o ", " p ", " q ", " r ", " s " are represented;
Priority level in described XML configuration file represents the height of the preferential executive level of dynamic link library, including
Highest executive level, secondary executive level, three kinds of minimum executive level, are represented with " 1 ", " 2 ", " 3 " respectively;
In described XML configuration file whether be immediately performed including be with it is no, respectively with " t ", " f " represent;
Use state in described XML configuration file includes being currently in use and not using two states, uses respectively
" T ", " F " are represented;
Dynamic link library call function title representation program in described XML configuration file is used when calling the model library
Function name;
When mode input parameter type in described XML configuration file represents the function of the routine call model, transmission
Parameter type, including the type of bool, int, string, float tetra-;
Mode input number of parameters representation program in described XML configuration file calls what is transmitted during the function of the model
Number of parameters;
When model output parameters type in described XML configuration file represents the function of the routine call model, transmission
Parameter type, including the type of bool, int, string, float tetra-;
Model output parameters number representation program in described XML configuration file calls what is transmitted during the function of the model
Number of parameters.
Adaptive algorithm of the present invention needs that diagnostic model dynamic link library is first copied to on-line monitoring equipment before performing
Or above the memory space of diagnostic device, and set up XML configuration file;Wherein XML configuration file is calculated after completion is configured
Method model starts to be performed according to following steps:
Step 1:Content → detection XML that program starts to perform → load dynamic link library → reading XML configuration file matches somebody with somebody
Put file format whether standard, "Yes" perform step 2, "No" program perform terminate, return to step 1;
Step 2:Set up title → reading MAP that XML configuration file MAP maps → obtained from store path dynamic link library
Dynamic link library name in mapping → compare whether title is identical, "Yes" performs step 3, and "No" program is performed and terminated, returns
Step 1;
Step 3:Read classification → acquisition transformer online monitoring diagnostic model classification (0), the open circuit respectively in MAP mappings
Device on-line monitoring and diagnosis model (1), capacitive apparatus on-line monitoring and diagnosis model (2) and sleeve pipe on-line monitoring and diagnosis model (3), hold
Row step 4;
Step 4:Transformer online monitoring diagnostic model classification (0) gets the oil chromatography in transformer online monitoring respectively
(a), iron core grounding current (b), micro- water (c), micro- gas (d);Breaker on-line monitoring and diagnosis model (1) obtain mechanical spy respectively
Property parameter (e), electrical characteristic parameter (f), state of insulation parameter (g);Capacitive apparatus on-line monitoring and diagnosis model (2) are obtained respectively
Reactor (h), capacitance type potential transformer (i), current transformer (j), disconnecting switch (k), insulator (l), arc suppression coil
(m), arrester (n);Sleeve pipe on-line monitoring and diagnosis model (3) obtain respectively C2H2 contents (o), H2 contents (p), capacitance (q),
Dielectric loss (r), end shield earth resistance (s), perform step 5 afterwards;
Step 5:Judge preferential executive level → judge whether to be immediately performed → judge use state → reading call function
Title → reading call function |input paramete type → reading call function |input paramete number → reading call function output ginseng
Several classes of type → reading call function output parameter number → self-adapting program is performed and terminated;By 5 execution of step, self adaptation
Algorithm routine finally confirm program operation preferential executive level, whether be immediately performed, use state, afterwards again by calling
Function input parameters type, call function |input paramete number, call function output parameter type and call function output parameter
Number is determined and preferentially call which program is performed, so as to realize the self adaptation of on-line monitoring and diagnosis model.
The adaptive algorithm flow is as shown in Figure 1.Adaptive algorithm needs first diagnostic model dynamic chain before performing
Connect storehouse to copy to above the memory space of on-line monitoring equipment or diagnostic device, and set up XML configuration accessories.Wherein XML matches somebody with somebody
Putting file needs to be described in detail and configure according to the configuration content shown in claims 2.
A. specific algorithm flow implementation process is:Program starts to perform → depositing from on-line monitoring equipment or diagnostic device
Storage space above load dynamic link library → reading XML configuration file content → detection XML configuration file form whether standard,
Standard then performs b, nonstandard, goes to a;
B. the title that XML configuration file MAP maps → obtained from store path dynamic link library is set up, MAP mappings are read
In dynamic link library name → compare title it is whether identical, it is identical, perform c, differ, program is performed and terminated, and is returned to
a;
C. the classification in MAP mappings is read, if " 0 ", then d is performed;If " 1 ", then e is performed;If " 2 ",
Then perform f;If " 3 ", then g is performed;If " other ", program is performed and terminated, and returns to a;
D. " a ", " b ", " c ", " d " respectively indication transformer on-line monitoring in oil chromatography, iron core grounding current, Wei Shui,
Micro- gas, if other then program perform terminate;
E. " e ", " f ", " g " represent mechanical property parameter, electrical characteristic parameter, the insulation in breaker on-line monitoring respectively
State parameter, if other then program perform terminate;
F. " h ", " i ", " j ", " k ", " l ", " m " " n " represent reactor, the condenser type in capacitive apparatus on-line monitoring respectively
Voltage transformer, current transformer, disconnecting switch, insulator, arc suppression coil, arrester, if other then program perform terminate;
G. " o ", " p ", " q ", " r ", " s " represent respectively sleeve pipe on-line monitoring in C2H2 contents, H2 contents, capacitance,
Dielectric loss, end shield earth resistance, if other then program perform terminate;
H. preferential executive level → judge whether to be immediately performed → judge use state → reading call function title is judged
→ read call function |input paramete type → reading call function |input paramete number → reading call function output parameter class
Type → reading call function output parameter number → self-adapting program is performed and terminated.
Priority level in described XML configuration file represents the height of the preferential executive level of dynamic link library, including
Highest executive level, secondary executive level, three kinds of minimum executive level, are represented with " 1 ", " 2 ", " 3 " respectively;
Wherein, in described XML configuration file whether be immediately performed including be with it is no, respectively with " t ", " f " represent;
Wherein, the use state in described XML configuration file includes being currently in use and not using two states, respectively
Represented with " T ", " F ";
Wherein, the dynamic link library call function title representation program in described XML configuration file calls the model library
When the function name that uses;
Wherein, when the mode input parameter type in described XML configuration file represents the function of the routine call model,
The parameter type of transmission, including the type of bool, int, string, float tetra-;
Wherein, when the mode input number of parameters representation program in described XML configuration file calls the function of the model
The number of parameters of transmission;
Wherein, when the model output parameters type in described XML configuration file represents the function of the routine call model,
The parameter type of transmission, including the type of bool, int, string, float tetra-;
Wherein, when the model output parameters number representation program in described XML configuration file calls the function of the model
The number of parameters of transmission.
Claims (3)
1. a kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station, it is characterised in that including on-line monitoring and diagnosis
Model dynamic link library, XML configuration file and adaptive algorithm;Wherein:
The on-line monitoring and diagnosis model dynamic link library includes that transformer online monitoring diagnostic model, breaker on-line monitoring are examined
Disconnected model, 4 kinds of model dynamic link libraries of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model;
The XML configuration file include dynamic link library name, classification, mark, priority level, whether immediately use, use shape
State, dynamic link library call function title, mode input parameter type, mode input number of parameters, model output parameters type,
Model output parameters number;
Described dynamic link library name be stored in it is online above the memory space of on-line monitoring equipment or diagnostic device
Monitoring, diagnosing model name is identical;
Classification in described XML configuration file includes:Transformer online monitoring diagnostic model classification, breaker on-line monitoring are examined
Disconnected model, 4 kinds of models of capacitive apparatus on-line monitoring and diagnosis model and sleeve pipe on-line monitoring and diagnosis model, respectively with " 0 ", " 1 ",
" 2 ", " 3 " represent.
2. a kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station according to claim 1, its feature exists
In:Mark in XML configuration file includes:Oil chromatography, iron core grounding current, Wei Shui in transformer online monitoring, micro- gas,
Represented with " a ", " b ", " c ", " d " respectively;Mechanical property parameter, electrical characteristic parameter, insulation shape in breaker on-line monitoring
State parameter, is represented with " e ", " f ", " g " respectively;Reactor, capacitance type potential transformer, electric current in capacitive apparatus on-line monitoring
Transformer, disconnecting switch, insulator, arc suppression coil, arrester, are represented with " h ", " i ", " j ", " k ", " l ", " m " " n " respectively;
Sleeve pipe on-line monitoring in C2H2 contents, H2 contents, capacitance, dielectric loss, end shield earth resistance, respectively with " o ", " p ", " q ",
" r ", " s " are represented;
Priority level in described XML configuration file represents the height of the preferential executive level of dynamic link library, including highest
Level executive level, secondary executive level, three kinds of minimum executive level, are represented with " 1 ", " 2 ", " 3 " respectively;
In described XML configuration file whether be immediately performed including be with it is no, respectively with " t ", " f " represent;
Use state in described XML configuration file includes being currently in use and not using two states, respectively with " T ", " F "
Represent;
Dynamic link library call function title representation program in described XML configuration file calls the letter used during the model library
Several titles;
When mode input parameter type in described XML configuration file represents the function of the routine call model, the ginseng of transmission
Several classes of type, including the type of bool, int, string, float tetra-;
Mode input number of parameters representation program in described XML configuration file calls the parameter transmitted during the function of the model
Number;
When model output parameters type in described XML configuration file represents the function of the routine call model, the ginseng of transmission
Several classes of type, including the type of bool, int, string, float tetra-;
Model output parameters number representation program in described XML configuration file calls the parameter transmitted during the function of the model
Number.
3. a kind of on-line monitoring and diagnosis model adaptation algorithm for transformer station according to claim 1 and 2, its feature
It is:Adaptive algorithm needs that diagnostic model dynamic link library is first copied to on-line monitoring equipment before performing or diagnosis sets
Above standby memory space, and set up XML configuration file;Wherein XML configuration file algorithm model after completion is configured starts
Performed according to following steps:
Step 1:Program starts to perform → load content → detection XML configuration texts of dynamic link library → reading XML configuration file
Part form whether standard, "Yes" perform step 2, "No" program perform terminate, return to step 1;
Step 2:Set up title → reading MAP mappings that XML configuration file MAP maps → obtained from store path dynamic link library
In dynamic link library name → compare title it is whether identical, "Yes" performs step 3, and "No" program is performed and terminated, return to step
1;
Step 3:Read the classification → respectively in MAP mappings and obtain transformer online monitoring diagnostic model classification (0), breaker and exist
Line monitoring, diagnosing model (1), capacitive apparatus on-line monitoring and diagnosis model (2) and sleeve pipe on-line monitoring and diagnosis model (3), perform step
Rapid 4;
Step 4:Transformer online monitoring diagnostic model classification (0) get respectively oil chromatography (a) in transformer online monitoring,
Iron core grounding current (b), micro- water (c), micro- gas (d);Breaker on-line monitoring and diagnosis model (1) obtain mechanical property ginseng respectively
Number (e), electrical characteristic parameter (f), state of insulation parameter (g);Capacitive apparatus on-line monitoring and diagnosis model (2) obtain reactance respectively
Device (h), capacitance type potential transformer (i), current transformer (j), disconnecting switch (k), insulator (l), arc suppression coil (m), keep away
Thunder device (n);Sleeve pipe on-line monitoring and diagnosis model (3) obtain C2H2 contents (o), H2 contents (p), capacitance (q), dielectric loss respectively
R (), end shield earth resistance (s), performs step 5 afterwards;
Step 5:Judge preferential executive level → judge whether to be immediately performed → judge use state → reading call function title
→ read call function |input paramete type → reading call function |input paramete number → reading call function output parameter class
Type → reading call function output parameter number → self-adapting program is performed and terminated;By 5 execution of step, adaptive algorithm
Program finally confirm program operation preferential executive level, whether be immediately performed, use state, afterwards again pass through call function
|input paramete type, call function |input paramete number, call function output parameter type and call function output parameter number
Determine and preferentially call which program is performed, so as to realize the self adaptation of on-line monitoring and diagnosis model.
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Cited By (1)
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CN111208385A (en) * | 2019-12-19 | 2020-05-29 | 云南电网有限责任公司玉溪供电局 | Online fault layered diagnosis method for power grid |
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CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院(集团)有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
CN105652137A (en) * | 2015-12-28 | 2016-06-08 | 云南电网有限责任公司电力科学研究院 | Transformer substation online monitoring and diagnosis model identification method and device |
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CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院(集团)有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
CN105652137A (en) * | 2015-12-28 | 2016-06-08 | 云南电网有限责任公司电力科学研究院 | Transformer substation online monitoring and diagnosis model identification method and device |
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