CN108549974A - A kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) - Google Patents
A kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) Download PDFInfo
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- CN108549974A CN108549974A CN201810239970.5A CN201810239970A CN108549974A CN 108549974 A CN108549974 A CN 108549974A CN 201810239970 A CN201810239970 A CN 201810239970A CN 108549974 A CN108549974 A CN 108549974A
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Abstract
The CIME electric network model evaluation methods based on analytic hierarchy process (AHP) that the invention discloses a kind of, include the following steps：1）The evaluation index of CIME electric network model quality defines.2）CIME electric network model quality objective structure charts structure based on analytic hierarchy process (AHP).3）Construct the judgment matrix of CIME electric network model quality evaluations.4）The consistency check of CIME electric network model Quality estimation matrixes.5）Calculate the total hierarchial sorting of CIME electric network model quality, the present invention passes through the support C IM/E model files to each regional power grid model, the verification for carrying out various rules is based on check results, binding hierarchy analytic approach, each regional power grid model carries out quality evaluation, by the evaluation method, the safety of electric network model information can be improved, improves the modeling quality of each regional power grid model.
Description
Technical field
CIME (power grid universal model description language) electric network model evaluation based on analytic hierarchy process (AHP) that the present invention relates to a kind of
Method belongs to dispatching of power netwoks technical field.
Background technology
CIME is the main means of model interaction between current scheduling mechanism Dispatching Control System, the quality of quality, to upper
The accuracy of the applications such as the operation monitoring of grade regulating and controlling mechanism and analysis and early warning class has great influence.Current scheduling control system
The management of CIME electric network models and assessment technique means still have some deficits, and lack effective technical support to the maintenance management of model,
The related services application such as line safety analysis, operation plan and Security Checking, Electric Power Network Planning correlation analysis need to respectively safeguard model, respectively
Business CIME electric network models cannot fully be shared, and linkage is insufficient each other, and effectively above application can not be supported to model management
Demand.For the above present situation, this project is based on D5000 system platforms, carries out the electric network model management based on CIME and evaluation skill
The research of art is carrying out various dimensions verification, when being suitable for each by model evaluation mechanism to the electric network model after model splicing
Between dimension on-time model evaluation, for improve CIME grid model splicings safety and line modeling quality have notable work
With.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of CIME electric network models evaluation based on analytic hierarchy process (AHP)
Method can improve the safety of electric network model information, improve the modeling quality of each regional power grid model.
The technical problem to be solved by the present invention is to what is be achieved through the following technical solutions：
A kind of CIME electric network model evaluation methods of analytic hierarchy process (AHP), including：
1) evaluation index of CIME electric network model quality is defined；
2) the CIME power grid quality object construction figures based on analytic hierarchy process (AHP) are built；
3) judgment matrix of construction CIME power grid qualities evaluation；
4) consistency check is carried out to CIME power grid quality judgment matrixs；
5) total hierarchial sorting of CIME power grid qualities is calculated, specially determines that certain layer of all factors are relatively heavy for general objective
The sequencing weight for the property wanted, sequence is again top to be carried out successively to the bottom.
Further, the evaluation index for defining CIME electric network model quality specifically includes：
A) key parameter miss rate is defined
bi=si/(Ni*Ti) (2)
Wherein, MPL is model key parameter miss rate, wiFor the weight shared by the i-th class equipment key parameter, biFor the i-th class
The miss rate of model key parameter in equipment list, n are the classification number of equipment, NiRepresent the i-th class equipment list record number, TiIt represents
I-th class equipment list key parameter number, siIt represents parameter in the i-th class equipment list and lacks number；
B) key parameter error rate is defined
ei=qi/(Ni*Ti) (5)
Wherein, MPE is model key parameter error rate, eiFor the error rate of model key parameter in the i-th class equipment list, qi
Represent parameter error number in the i-th class equipment list；
C) Definition Model title rate lack of standardization
MZQL=NE/NA (7)
Wherein, MZQLFor model name rate lack of standardization, NEFor the nonstandard record number of title, NAFor all devices record
Number；
D) the incorrect rate of Definition Model topology
MTP=MTPE/MA (8)
Wherein, MTP is the incorrect rate of topology, and MTPE is all devices Topology Error number, and MA is that the topology of all devices is total
Number, EiFor the Topology Error number of the i-th class equipment；
E) Definition Model relating attribute error rate
MR=MRE/MRA (11)
Wherein, MRE is the sum of all devices relating attribute mistake, and MRA is the sum of all devices relating attribute, and MR is
The ratio of associated errors number and relating attribute sum in model, R are model interaction attribute.
F) definition status estimates disqualification rate
State estimation qualification rate index after being imported according to model determines.
Further, the CIME power grid quality object construction figure of the structure based on analytic hierarchy process (AHP) is specially：
The target of decision, the factor of consideration and decision object are divided by the correlation between them top, intermediate
Layer and lowermost layer, draw hierarchical chart.
Further, the judgment matrix of the construction CIME power grid qualities evaluation is specially：
The judgment matrix of CIME power grid qualities evaluation is constructed according to formula (14)
Wherein aijIndicate comparison result of i-th of factor relative to j-th of factor.
Further, described to be specially to the progress consistency check of CIME power grid quality judgment matrixs：
Coincident indicator is defined according to formula (15)
Wherein m is the sum of the diagonal entry number of A, is also the sum of characteristic root number of A；
Work as consistency ratioWhen, then it is assumed that the inconsistent degree of A is within permissible range, wherein CR
For consistency ratio, RI is random index.
What the present invention was reached has the beneficial effect that：The present invention is used as interaction carrier by CIM/E model files and shares mould
Type, on this basis this method be mainly used for the evaluation point of CIME electric network model quality informations between automation system for the power network dispatching
Analysis, by the support C IM/E model files to each regional power grid model, the verification for carrying out various rules is based on check results, knot
Analytic hierarchy process (AHP) is closed, each regional power grid model carries out quality evaluation can improve electric network model information by the evaluation method
Safety improves the modeling quality of each regional power grid model.
Description of the drawings
Fig. 1 is the configuration diagram of invention；
Fig. 2 is a CIME electric network model quality objective structure chart using the method for the present invention component.
Specific implementation mode
In order to further describe the technical characterstic and effect of the present invention, below in conjunction with the drawings and specific embodiments to this hair
It is bright to be described further.
For current present situation, this project is based on D5000 system platforms, carries out the electric network model management based on CIME and comments
The research of valence technology is carrying out various dimensions verification to the electric network model after model splicing by model evaluation mechanism, is being suitable for each
The on-time model of a time dimension is evaluated, and is had significantly for the safety and line modeling quality that improve CIME grid model splicings
Effect.
As Figure 1-Figure 2, a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP), including：
1) evaluation index of CIME electric network model quality is defined, specially：
A) key parameter miss rate is defined
bi=si/(Ni*Ti) (2)
Wherein, MPL is model key parameter miss rate, and the missing of key parameter can cause the mistake or error that calculate, because
This, w extremely important to the assessment of parameter missing in evaluation model qualityiFor the weight shared by the i-th class equipment key parameter, bi
For the miss rate of model key parameter in the i-th class equipment list, n is the classification number of equipment, NiRepresent the i-th class equipment list record
Number, TiRepresent the i-th class equipment list key parameter number, siIt represents parameter in the i-th class equipment list and lacks number；
B) key parameter error rate is defined
ei=qi/(Ni*Ti) (5)
Wherein, MPE is model key parameter error rate, and the correctness of key parameter can cause the mistake or mistake that calculate
Difference, therefore in evaluation model quality, e extremely important to the assessment of the correctness of parameteriIt is closed for model in the i-th class equipment list
The error rate of bond parameter, qiRepresent parameter error number in the i-th class equipment list；
C) Definition Model title rate lack of standardization
MZQL=NE/NA (7)
Wherein, MZQLFor model name rate lack of standardization, model name is for model in the longitudinal shared and network system of the superior and the subordinate
Between transverse direction shared all play very important effect, the DL/T 1171-2012 of Guo Wang companies publication《The general number of grid equipment
According to model Naming conventions》In have very specific definition to electric network model title, need control centres at different levels in Share Model
When need provide standard routes implementor name.Grid equipment complete trails names structure as follows：
Power grid plant stands line/voltage interval equipment/component attributes
Model name for not meeting above-mentioned name structure is determined as incorrect simulator name.MZQLStatistics be
The correct percentage of model name in entire model.NEFor the nonstandard record number of title, NAFor all devices record
Number；
D) the incorrect rate of Definition Model topology
MTP=MTPE/MA (8)
In CIM, topological relation is mainly retouched by terminal (Terminal) and node (ConnectivityNode)
It states.Due in CIM between class and class associated tuple without very stringent limitation, it is therefore necessary to CIM documents import before root
Implement stringent verification for the model in CIM documents according to the actual conditions of electric system, to ensure model in terms of topology
Integrality and correctness avoid the influence for subsequent applications.
Wherein, MTP is the incorrect rate of topology, and MTPE is all devices Topology Error number, and MA is that the topology of all devices is total
Number, EiFor the Topology Error number of the i-th class equipment；
E) Definition Model relating attribute error rate
MR=MRE/MRA (11)
Wherein, MRE is the sum of all devices relating attribute mistake, and MRA is the sum of all devices relating attribute, and MR is
The ratio of associated errors number and relating attribute sum in model, R are model interaction attribute.
According to the description in CIM, the equipment that some relating attribute of an equipment can only be associated with one or more of types,
The relating attribute of such as Breaker can only be associated with plant stand, voltage class, interval.It is generally used to define the said container of equipment
Or parameter.
F) definition status estimates disqualification rate.
State estimation qualification rate index after being imported according to model determines.State estimation qualification rate is generally by import system
Advanced application in state estimation computing module provide.State estimation disqualification rate herein uses 1- state estimation qualification rates
(percentage)
2) as shown in Fig. 2, CIME power grid quality object construction figure of the structure based on analytic hierarchy process (AHP)；
The target of decision, the factor of consideration and decision object are divided by the correlation between them top, intermediate
Layer and lowermost layer, draw hierarchical chart.Analytic hierarchy process (AHP) is by decision problem according to target layer, interpretational criteria layer to specific side
The sequential breakdown of pattern layer (including Shanxi, Shandong, Hebei, Tianjin, Beijing, Inner Mongol, the several areas in Ji north) is different level knot
Structure acquires each element of each level to the excellent of certain secondary element of last layer then with the method for solving judgment matrix feature vector
First weight, finally the method for weighted sum passs final weight of each alternative of rank merger to general objective again, this final weight is maximum
Person is optimal case.Here so-called " priority weight " is a kind of opposite measurement, it shows each alternative in a certain feature
Interpretational criteria or sub-goal, relative measurement and each sub-goal important journey for last layer target of superior degree under mark
The relative measurement of degree.
3) the judgment matrix A of construction CIME power grid qualities evaluation；
Use aijIndicate comparison result of i-th of factor relative to j-th of factor, then
Rule layer includes 6 criterion (index), C1:Key parameter miss rate, C2:Key parameter error rate, C3:Model name
Claim rate lack of standardization, C4:The incorrect rate of model topology, C5:Model interaction attribute error rate, C6:State estimation disqualification rate.
Above-mentioned 6 indexs are the relevant parameters obtained after verifying and import according to each department model file.These parameters are all
It is the ratio shared by the mistake of model generation, therefore for selection high quality model, the lower this 6 indexs the better.
High quality model, the above index is selected to be compared marking two-by-two relative to destination layer.Above-mentioned comparison be two-by-two because
The comparison carried out between element takes 1~9 scale when comparing.
4) consistency check is carried out to CIME power grid quality judgment matrixs, specially：
Define coincident indicator
Wherein m is the sum of the diagonal entry number of A, is also the sum of characteristic root number of A；
Generally, work as consistency ratioWhen, then it is assumed that the inconsistent degree of A can be used within permissible range
Otherwise its normalization characteristic vector will reconfigure in pairs relatively matrix, be adjusted to A as weight vector.Wherein, CR mono-
Sex rate is caused, RI is random index.
5) total hierarchial sorting of CIME power grid qualities is calculated.
Determine certain layer of all factors for the sequencing weight process of general objective relative importance, referred to as total hierarchial sorting.This
One process is carried out from top to the bottom successively.For top, the result of Mode of Level Simple Sequence i.e. total
The result of sequence.
Above-described embodiment does not limit the present invention in any form, and all forms for taking equivalent substitution or equivalent transformation are obtained
Technical solution, be within the scope of the present invention.
Claims (6)
1. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP), which is characterized in that including：
1) evaluation index of CIME electric network model quality is defined；
2) the CIME power grid quality object construction figures based on analytic hierarchy process (AHP) are built；
3) judgment matrix of construction CIME power grid qualities evaluation；
4) consistency check is carried out to CIME power grid quality judgment matrixs；
5) total hierarchial sorting of CIME power grid qualities is calculated.
2. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) according to claim 1, which is characterized in that
The evaluation index for defining CIME electric network model quality specifically includes：
A) key parameter miss rate is defined
bi=si/(Ni*Ti) (2)
Wherein, MPL is model key parameter miss rate, wiFor the weight shared by the i-th class equipment key parameter, biFor the i-th class equipment
The miss rate of model key parameter in table, n are the classification number of equipment, NiRepresent the i-th class equipment list record number, TiRepresent the i-th class
Equipment list key parameter number, siIt represents parameter in the i-th class equipment list and lacks number；
B) key parameter error rate is defined
ei=qi/(Ni*Ti) (5)
Wherein, MPE is model key parameter error rate, eiFor the error rate of model key parameter in the i-th class equipment list, qiIt represents
Parameter error number in i-th class equipment list；
C) Definition Model title rate lack of standardization
MZQL=NE/NA (7)
Wherein, MZQLFor model name rate lack of standardization, NEFor the nonstandard record number of title, NANumber is recorded for all devices；
D) the incorrect rate of Definition Model topology
MTP=MTPE/MA (8)
Wherein, MTP is the incorrect rate of topology, and MTPE is all devices Topology Error number, and MA is the topology sum of all devices, Ei
For the Topology Error number of the i-th class equipment；
E) Definition Model relating attribute error rate
MR=MRE/MRA (11)
Wherein, MRE is the sum of all devices relating attribute mistake, and MRA is the sum of all devices relating attribute, and MR is model
The ratio of middle associated errors number and relating attribute sum, R are model interaction attribute.
F) definition status estimates disqualification rate
State estimation qualification rate index after being imported according to model determines.
3. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) according to claim 1, which is characterized in that
The CIME power grid quality object construction figure of the structure based on analytic hierarchy process (AHP) be specially：
By the target of decision, the factor of consideration and decision object by the correlation between them be divided into top, middle layer and
Lowermost layer draws hierarchical chart.
4. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) according to claim 3, which is characterized in that
It is described construction CIME power grid qualities evaluation judgment matrix be specially：
The judgment matrix of CIME power grid qualities evaluation is constructed according to formula (14)
Wherein aijIndicate comparison result of i-th of factor relative to j-th of factor.
5. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) according to claim 4, which is characterized in that
It is described to be specially to the progress consistency check of CIME power grid quality judgment matrixs：
Coincident indicator is defined according to formula (12)
Wherein m is the sum of the diagonal entry of A, is also the sum of characteristic root of A；
Work as consistency ratioWhen, then it is assumed that the inconsistent degree of A is within permissible range, wherein CR is consistent
Sex rate, RI are random index.
6. a kind of CIME electric network model evaluation methods based on analytic hierarchy process (AHP) according to claim 1, which is characterized in that
It is described calculate CIME power grid qualities total hierarchial sorting be specially：
Determine sequencing weight of certain layer of all factors for general objective relative importance, sequence from it is top to the bottom successively into
Row.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109460299A (en) * | 2018-11-08 | 2019-03-12 | 中山大学 | A kind of distributed parallel multi-source social network data acquisition system and method |
| CN113505951A (en) * | 2021-03-31 | 2021-10-15 | 国网山西省电力公司吕梁供电公司 | Distribution network planning overall process evaluation management system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040181441A1 (en) * | 2001-04-11 | 2004-09-16 | Fung Robert M. | Model-based and data-driven analytic support for strategy development |
| CN103745415A (en) * | 2014-01-03 | 2014-04-23 | 深圳供电局有限公司 | Level analysis-based assessment method and level analysis-based assessment system for grid operating condition indicators |
| CN104598671A (en) * | 2014-12-26 | 2015-05-06 | 国家电网公司 | Digital power grid construction method based on on-line data |
| CN106875055A (en) * | 2017-02-16 | 2017-06-20 | 西南交通大学 | Energy storage device based on AHP and GA participates in the parameter optimization method of power grid frequency modulation |
-
2018
- 2018-03-22 CN CN201810239970.5A patent/CN108549974B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040181441A1 (en) * | 2001-04-11 | 2004-09-16 | Fung Robert M. | Model-based and data-driven analytic support for strategy development |
| CN103745415A (en) * | 2014-01-03 | 2014-04-23 | 深圳供电局有限公司 | Level analysis-based assessment method and level analysis-based assessment system for grid operating condition indicators |
| CN104598671A (en) * | 2014-12-26 | 2015-05-06 | 国家电网公司 | Digital power grid construction method based on on-line data |
| CN106875055A (en) * | 2017-02-16 | 2017-06-20 | 西南交通大学 | Energy storage device based on AHP and GA participates in the parameter optimization method of power grid frequency modulation |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109460299A (en) * | 2018-11-08 | 2019-03-12 | 中山大学 | A kind of distributed parallel multi-source social network data acquisition system and method |
| CN109460299B (en) * | 2018-11-08 | 2022-04-15 | 中山大学 | Distributed parallel multi-source social network data acquisition system and method |
| CN113505951A (en) * | 2021-03-31 | 2021-10-15 | 国网山西省电力公司吕梁供电公司 | Distribution network planning overall process evaluation management system |
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