CN108549974B - CIME power grid model evaluation method based on analytic hierarchy process - Google Patents
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Abstract
The invention discloses a CIME power grid model evaluation method based on an analytic hierarchy process, which comprises the following steps of: 1) and (4) defining evaluation indexes of the quality of the CIME power grid model. 2) And constructing a CIME power grid model quality target structure diagram based on an analytic hierarchy process. 3) And constructing a judgment matrix for evaluating the quality of the CIME power grid model. 4) And (5) checking the consistency of the quality judgment matrix of the CIME power grid model. 5) The invention calculates the total hierarchical order of the quality of the CIME power grid model, verifies various rules based on the verification result by combining the carrier CIM/E model file of each regional power grid model and the analytic hierarchy process, and evaluates the quality of each regional power grid model.
Description
Technical Field
The invention relates to a CIME (common model description language for power grids) power grid model evaluation method based on an analytic hierarchy process, and belongs to the technical field of power grid dispatching.
Background
The CIME is a main means of model interaction between dispatching control systems of the current dispatching mechanism, and the quality of the CIME has a great influence on the accuracy of operation monitoring, analysis and early warning and other applications of a superior regulating mechanism. The management and evaluation technical means of the CIME power grid model of the current dispatching control system are insufficient, effective technical support is lacked for the maintenance and management of the model, the on-line safety analysis, the dispatching plan and safety check, the power grid planning relevant analysis and other relevant business applications need to maintain the model respectively, the CIME power grid models of the businesses cannot be fully shared, the mutual linkage is insufficient, and the requirements of the applications on the model management cannot be effectively supported. Aiming at the current situation, the project is based on a D5000 system platform, researches on power grid model management and evaluation technology based on CIME are carried out, multi-dimensional verification is carried out on a power grid model after model splicing through a model evaluation mechanism, the project is suitable for online model evaluation of various time dimensions, and the project has a remarkable effect on improving the splicing safety and online modeling quality of the CIME power grid model.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a CIME power grid model evaluation method based on an analytic hierarchy process, which can improve the safety of power grid model information and improve the modeling quality of each regional power grid model.
The technical problem to be solved by the invention is realized by the following technical scheme:
A CIME power grid model evaluation method of a hierarchy analysis method comprises the following steps:
1) Defining an evaluation index of the quality of the CIME power grid model;
2) Constructing a CIME power grid quality target structure diagram based on an analytic hierarchy process;
3) Constructing a judgment matrix for evaluating the quality of the CIME power grid;
4) Carrying out consistency check on the CIME power grid quality judgment matrix;
5) And calculating the hierarchical total ordering of the CIME power grid quality, specifically determining the ordering weight of all factors of a certain layer on the relative importance of the total target, and sequentially ordering from the highest layer to the lowest layer.
Further, the defining of the evaluation index of the quality of the CIME power grid model specifically includes:
a) Defining key parameter deficiency rate
bi＝si/(Ni*Ti) (2)
wherein, MP L is the deficiency rate of key parameter of model, w iWeight occupied by key parameter of i-th equipment, b iThe loss rate of the key parameters of the model in the ith type equipment table is shown, N is the classification number of the equipment, N iRepresenting the number of records of the ith type of equipment table, T iRepresenting the number of key parameters, s, of the ith equipment list iRepresents the ith class Missing the parameters in the prepared table;
b) Defining key parameter error rates
ei＝qi/(Ni*Ti) (5)
Where MPE is the error rate of the key parameter of the model, e iError rate, q, for model key parameters in class i device tables iRepresenting the number of parameter errors in the ith equipment table;
c) Defining model name unnormalization rate
MZQL＝NE/NA(7)
Wherein M is ZQLFor the unnormalization rate of model names, N ENumber of records with irregular names, N ARecording the number of all the devices;
d) Defining model topology incorrect rates
MTP＝MTPE/MA (8)
Wherein MTP is topology incorrect rate, MTPE is topology error number of all devices, MA is topology total number of all devices, E iThe number of topological errors of the ith equipment is;
e) Defining model associated attribute error rates
MR＝MRE/MRA (11)
The MRE is the total number of errors of the association attributes of all the devices, the MRA is the total number of the association attributes of all the devices, the MR is the ratio of the number of the association errors in the model to the total number of the association attributes, and the R is the association attributes of the model.
f) Defining state estimation reject rate
And determining according to the state estimation qualification rate index after model import.
Further, the step of constructing a CIME power grid quality target structure diagram based on an analytic hierarchy process specifically comprises the following steps:
Dividing the decision target, the considered factors and the decision object into a highest layer, a middle layer and a lowest layer according to the mutual relation among the decision target, the considered factors and the decision object, and drawing a hierarchical structure diagram.
Further, the constructing of the determination matrix for evaluating the quality of the CIME power grid specifically includes:
Constructing a judgment matrix for evaluating the quality of the CIME power grid according to the formula (14)
Wherein a is ijShowing the result of the comparison of the ith factor with respect to the jth factor.
Further, the consistency check of the CIME power grid quality judgment matrix specifically comprises the following steps:
Defining a consistency index according to equation (15) 
Wherein m is the sum of the number of diagonal elements of A and is also the sum of the number of characteristic roots of A;
When the consistency ratio is 
When the degree of inconsistency of A is within the allowable range, wherein CR is the consistency ratio and RI is Random consistency index.
The invention has the following beneficial effects: the method is mainly used for evaluating and analyzing the quality information of the CIME power grid models among the power grid dispatching automation systems by taking the CIM/E model files as the interactive carrier sharing model, checking various rules of the carrier CIM/E model files of the regional power grid models is performed based on the checking result, and the quality of the regional power grid models is evaluated by combining an analytic hierarchy process.
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FIG. 1 is a schematic diagram of the architecture of the present invention;
FIG. 2 is a CIME power grid model quality target structure diagram of the components adopting the method of the invention.
Detailed Description
To further describe the technical features and effects of the present invention, the present invention will be further described with reference to the accompanying drawings and detailed description.
Aiming at the current situation, the project is based on a D5000 system platform, researches on power grid model management and evaluation technology based on CIME are carried out, multi-dimensional verification is carried out on a power grid model after model splicing through a model evaluation mechanism, the project is suitable for online model evaluation of various time dimensions, and the project has a remarkable effect on improving the splicing safety and online modeling quality of the CIME power grid model.
As shown in fig. 1-2, a CIME power grid model evaluation method based on an analytic hierarchy process includes:
1) Defining an evaluation index of the quality of the CIME power grid model, specifically:
a) Defining key parameter deficiency rate
bi＝si/(Ni*Ti) (2)
wherein, MP L is the loss rate of key parameters of the model, and the loss of the key parameters can cause errors or errors in calculation, so that the evaluation of the loss of the parameters is very important when evaluating the quality of the model, and w is iWeight occupied by key parameter of i-th equipment, b iThe loss rate of the key parameters of the model in the ith type equipment table is shown, N is the classification number of the equipment, N iRepresenting the number of records of the ith type of equipment table, T iRepresenting the number of key parameters, s, of the ith equipment list iRepresenting the number of missing parameters in the ith equipment table;
b) Defining key parameter error rates
ei＝qi/(Ni*Ti) (5)
Where MPE is the error rate of the key parameters of the model, and the correctness of the key parameters may cause errors or errors in the calculation, so that the evaluation of the correctness of the parameters is very important when evaluating the quality of the model, e iError rate, q, for model key parameters in class i device tables iRepresenting the number of parameter errors in the ith equipment table;
c) Defining model name unnormalization rate
MZQL＝NE/NA(7)
Wherein M is ZQLin order to achieve the non-standard rate of model names, the model names play an important role in the vertical sharing of models at upper and lower levels and the horizontal sharing among power grid systems, the power grid model names are very clearly defined in D L/T1171-2012 named standard of universal data models of power grid equipment, which is published by national grid companies, and all levels of dispatching centers need to provide equipment names of standard paths when sharing the models The path naming structure is as follows:
Grid, station line/voltage, interval, device/component, attribute
Model device names that do not conform to the above named structure are determined to be incorrect. M ZQLWhat is counted is the percentage of the model name that is correct across the model. N is a radical of ENumber of records with irregular names, N ARecording the number of all the devices;
d) Defining model topology incorrect rates
MTP＝MTPE/MA (8)
In CIM, the topological relation is mainly described by terminals (Terminal) and nodes (connectivity node). Because the number of times of association between classes in the CIM is not strictly limited, a strict check must be performed on the model in the CIM document according to the actual situation of the power system before the CIM document is imported, so as to ensure the integrity and correctness of the model in the aspect of topology and avoid the influence on subsequent applications.
Wherein MTP is topology incorrect rate, MTPE is topology error number of all devices, MA is topology total number of all devices, E iThe number of topological errors of the ith equipment is;
e) Defining model associated attribute error rates
MR＝MRE/MRA (11)
The MRE is the total number of errors of the association attributes of all the devices, the MRA is the total number of the association attributes of all the devices, the MR is the ratio of the number of the association errors in the model to the total number of the association attributes, and the R is the association attributes of the model.
According to the description in the CIM, a certain associated attribute of one device can only be associated with one or several types of devices, for example, the associated attribute of Breaker can only be associated with a station, a voltage level, an interval and the like. Generally defining the belonging container or parameter of the device.
f) A state estimation failure rate is defined.
And determining according to the state estimation qualification rate index after model import. The state estimation yield is generally given by the state estimation computation module in the advanced application of the import system. State estimation disqualification Rate in this context uses the 1-state estimation qualification rate (percent)
2) As shown in fig. 2, constructing a CIME power grid quality target structure diagram based on an analytic hierarchy process;
Dividing the decision target, the considered factors and the decision object into a highest layer, a middle layer and a lowest layer according to the mutual relation among the decision target, the considered factors and the decision object, and drawing a hierarchical structure diagram. The analytic hierarchy process is to decompose the decision problem into different hierarchical structures according to the sequence from the target layer, the evaluation criterion layer to the specific scheme layer (including Shanxi, Shandong, Hebei, Tianjin, Beijing, Nemeng and Jibei regions), then to use the method of solving and judging the matrix eigenvector to obtain the priority weight of each element of each level to a certain element of the previous level, and finally to use the method of weighted sum to merge the final weight of each alternative scheme to the total target in a grading way, and the maximum weight is the optimal scheme. The term "priority weight" as used herein is a relative measure indicating the criteria or sub-goals of each alternative for the evaluation of a particular feature, the relative measure of the superiority of the goals, and the relative measure of the importance of each sub-goal to the goal of the previous layer.
3) Constructing a judgment matrix A for evaluating the quality of the CIME power grid;
By a ijRepresenting the result of the comparison of the ith factor with respect to the jth factor, then 
The criterion layer comprises 6 criteria (indexes), C1: key parameter missing rate, C2: key parameter error rate, C3: model name non-specification rate, C4: model topology incorrect rate, C5: model associated attribute error rate, and C6: state estimation disqualification rate.
The 6 indexes are related parameters obtained after the model files of all regions are verified and imported. These parameters are the fraction of errors that occur in the model, so the lower the 6 metrics the better for selecting a high quality model.
And selecting a high-quality model relative to the target layer, and comparing and scoring the indexes pairwise. The comparison is carried out between every two factors, and the scale of the comparison is 1-9.
4) The consistency test is carried out on the CIME power grid quality judgment matrix, and the method specifically comprises the following steps:
Defining a consistency index 
Wherein m is the sum of the number of diagonal elements of A and is also the sum of the number of characteristic roots of A;
In general, when the consistency ratio is 
If the inconsistency degree of A is in the allowable range, the normalized eigenvector can be used as the weight vector, otherwise, a comparison matrix is reconstructed to adjust A. Where CR is the consistency ratio and RI is the random consistency index.
5) And calculating the total hierarchical order of the CIME power grid quality.
The process of determining the relative importance of all factors of a certain layer to the total target is called the total hierarchical ranking. This process is performed sequentially from the highest layer to the lowest layer. For the highest level, the result of its hierarchical single ordering is the result of the overall ordering.
The above embodiments do not limit the present invention in any way, and all technical solutions obtained by taking equivalent substitutions or equivalent changes fall within the scope of the present invention.
Claims (3)
1. A CIME power grid model evaluation method based on an analytic hierarchy process is characterized by comprising the following steps:
1) Defining an evaluation index of CIME power grid model quality in a D5000 system, comprising the following steps:
a) Defining key parameter deficiency rate
bi＝si/(Ni*Ti) (2)
wherein, MP L is the deficiency rate of key parameter of model, w iWeight occupied by key parameter of i-th equipment, b iThe loss rate of the key parameters of the model in the ith type equipment table is shown, N is the classification number of the equipment, N iRepresenting the number of records of the ith type of equipment table, T iRepresenting the number of key parameters, s, of the ith equipment list iRepresenting the number of missing parameters in the ith equipment table;
b) Defining key parameter error rates
ei＝qi/(Ni*Ti) (5)
Where MPE is the error rate of the key parameter of the model, e iFor errors in model key parameters in class i device tables Rate, q iRepresenting the number of parameter errors in the ith equipment table;
c) Defining model name unnormalization rate
MZQL＝NE/NA(7)
Wherein M is ZQLFor the unnormalization rate of model names, N ENumber of records with irregular names, N ARecording the number of all the devices;
d) Defining model topology incorrect rates
MTP＝MTPE/MA (8)
Wherein MTP is topology incorrect rate, MTPE is topology error number of all devices, MA is topology total number of all devices, E iThe number of topological errors of the ith equipment is;
e) Defining model associated attribute error rates
MR＝MRE/MRA (11)
The MRE is the total number of errors of the correlation attributes of all the devices, the MRA is the total number of the correlation attributes of all the devices, the MR is the ratio of the number of the correlation errors in the model to the total number of the correlation attributes, and R is the correlation attributes of the model;
f) Defining state estimation reject rate
Determining according to the state estimation qualification rate index after model import;
2) Constructing a CIME power grid quality target structure diagram based on an analytic hierarchy process;
3) Constructing a judgment matrix for evaluating the quality of the CIME power grid, which specifically comprises the following steps:
Constructing a judgment matrix for evaluating the quality of the CIME power grid according to the formula (14)
Wherein a is ijRepresenting the comparison result of the ith factor relative to the jth factor;
4) The consistency test is carried out on the CIME power grid quality judgment matrix, and the method specifically comprises the following steps:
Defining a consistency index according to equation (15) 
Wherein m is the sum of diagonal elements of A and is also the sum of characteristic roots of A;
When the consistency ratio is 
If so, the inconsistency degree of the A is considered to be within an allowable range, wherein CR is a consistency ratio, and RI is a random consistency index;
5) And calculating the total hierarchical order of the CIME power grid quality.
2. The method for evaluating the CIME power grid model based on the analytic hierarchy process as claimed in claim 1, wherein the step of constructing the CIME power grid quality target structure diagram based on the analytic hierarchy process comprises:
Dividing the decision target, the considered factors and the decision object into a highest layer, a middle layer and a lowest layer according to the mutual relation among the decision target, the considered factors and the decision object, and drawing a hierarchical structure diagram.
3. The CIME power grid model evaluation method based on the analytic hierarchy process of claim 1, wherein the total hierarchical ranking for calculating the CIME power grid quality specifically comprises:
And determining the ranking weight of all factors of a certain layer on the relative importance of the total target, and sequentially ranking from the highest layer to the lowest layer.
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| CN104598671A (en) * | 2014-12-26 | 2015-05-06 | 国家电网公司 | Digital power grid construction method based on on-line data |
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