CN104899645A - Evaluation system of urban power distribution network intelligent reconstruction - Google Patents
Evaluation system of urban power distribution network intelligent reconstruction Download PDFInfo
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Abstract
An evaluation system of urban power distribution network intelligent reconstruction comprises a basic data module, a scheme scoring module, and a scheme comparing functional module, wherein the basic data module comprises basic information setting of a to-be-evaluated power distribution network that is newly built, a basic database of an urban power distribution network intelligent reconstruction evaluation system, evaluation index setting, index weight setting, and index criterion setting; the scheme scoring module comprises a basic information importing system of the to-be-evaluated power distribution network of an EXCEL template; and the scheme comparing functional module implements evaluation result comparison of different evaluation objects. The system further comprises a data importing/exporting functional module. The system has the advantages that, problems of complex manual calculation and low efficiency are overcome; calculation results of difference schemes are compared in a manner of image and table; efficiency is high, time and labor are saved, and an error rate is low; problems of a power distribution network in an intelligent reconstruction process can be analyzed; and suggestions are provided for future reconstruction and building of the power distribution network.
Description
Technical field
The invention belongs to network distribution system field, be specifically related to the computer software of a kind of urban power distribution network intellectualized reconstruction assessment.
Background technology
In recent years, research and the construction upsurge of intelligent grid has been started in global range.Around " building strong intelligent grid " strategic objective that State Grid Corporation of China proposes, China has carried out various places the construction of a large amount of intelligent grid pilot project, and wherein comparatively ripe pilot project comprises intelligent substation, power distribution automation and power information acquisition system etc.As the important component part of electrical network, the intellectuality of power distribution network has become the new trend of following power network development, has very important effect for the overall goals realizing intelligent grid construction.The Chinese patent application (application number 201510146954.8) " a kind of urban power distribution network intellectualized reconstruction appraisal procedure " that the applicant proposes can be evaluated urban power distribution network intellectualized reconstruction degree, the method is by the hand computation of people, not only extremely loaded down with trivial details, and efficiency is low.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, provide one to utilize computing machine to urban power distribution network intellectualized reconstruction evaluating system, and the mode of utilization figure and table realizes the Comparative result to different schemes.
For achieving the above object, the technical solution used in the present invention is: a kind of urban power distribution network intellectualized reconstruction evaluating system, is characterized in that, comprise following functions module:
Basic data module: comprise in basic data module and the essential information of newly-built power distribution network to be assessed is arranged, comprise urban power distribution network intellectualized reconstruction evaluation system basic database, comprise the setting to evaluation index, the setting of index weights and the setting of index criterion; Described urban power distribution network intellectualized reconstruction evaluation system basic database comprises the secondary characteristic index database under secondary characteristic index under effect type index, one-level key property index, network structure level, the secondary characteristic index under load service capability, the secondary characteristic index under equipment technology level, operation and management level, and wherein effect type index comprises power supply reliability, integrated voltage qualification rate, comprehensive line loss per unit, plant factor and the interactive rate of close friend five indexs; One-level key property index comprises network structure level, load service capability, equipment technology level and operation and management level index; Secondary characteristic index under network structure level comprises contact rate between transformer station's single supply line rate, the monotropic rate of transformer station, medium-voltage line contact rate, medium-voltage line station, medium-voltage line average mark hop count, the grid-connected rate of distributed power source capacity, distributed power source generating and stored energy capacitance ratio index; Secondary characteristic index under load service capability comprises main transformer heavy duty rate, circuit heavy duty rate, main transformer " N-1 " percent of pass, medium-voltage line " N-1 " percent of pass, ratio of transformer capacity to load, medium-voltage line load factor index; Secondary characteristic index under equipment technology level comprises line insulation rate, radius of electricity supply transfinites circuit ratio, circuit section specification rate, high damage distribution transforming ratio, transformer station is idle allocation ratio, distribution transforming is idle allocation ratio, voltage and inactive power automatic regulation device ratio, GIS device utilization rate, distribution network automated terminal coverage rate, integrated automation of transformation stations rate, intelligent electric meter installation rate index; Secondary characteristic index under operation and management level comprise PMS system distribution data integrality, significant deficiency defect elimination rate, temporary interruption ratio, hot line job rate, power failure operation on time telegram in reply rate, power information acquisition system coverage rate, Customer Service Information system coverage rate, 95598 call center system coverage rates, from cabinet payment rate index;
Scheme grading module: comprise the essential information import system of power distribution network to be assessed for EXCEL template; Automatically corresponding index entry value is generated after importing; According to set up urban power distribution network intellectualized reconstruction evaluation system basic data, automatic evaluation is carried out to power distribution network to be assessed;
Scheme comparison's functional module: the assessment result contrast completing different evaluation objects, and displayed by the mode of form and figure, the way of contrast of different evaluation objects comprises: the mixing contrast of the Data Comparison of identical regional different year, the contrast of identical time different regions, different regions different year;
Data exporting functional module: comprise basic data, essential information, evaluation index, index weights, index criterion data import and export respectively; Comprise the derivation of assessment result.
Aforesaid urban power distribution network intellectualized reconstruction evaluating system, it is characterized in that: in basic data module, the essential information of described power distribution network to be assessed arranges and comprises area, time setting and evaluation scheme name setting, described index weights establishes by based on the analytic network process of DEMATEL and the improved grey model degree of association, and described index criterion carries out curve fitting obtained to the discrete criterion of input.
Aforesaid urban power distribution network intellectualized reconstruction evaluating system, it is characterized in that: comprise establishment scheme, by keyboard typing or direct import plan data, newly-built scoring and automatic evaluation flow process in scheme grading module, described automatic evaluation automatically calculates each desired value according to imported information and embedded formula, and index calculate value combined with index criterion and generate every index score, then the result that summation finally obtains power distribution network assessment is weighted to it.
Aforesaid urban power distribution network intellectualized reconstruction evaluating system, is characterized in that: the scheme appraisal result contrast under scheme comparison's module comprises selection different evaluation scheme, identical criterion and weight, output formats and chart flow process.
Aforesaid urban power distribution network intellectualized reconstruction evaluating system, is characterized in that: comprise data importing, select packet, data importing system, the statistical conversion of derivation, form independently packet flow process; Importing and exporting of optimized integration data, essential information, evaluation index, index weights, index criterion data.
The beneficial effect that the present invention reaches:
Instant invention overcomes the loaded down with trivial details and inefficient problem of hand computation; The result of calculation of mode to different schemes achieving utilization figure and table contrasts, and efficiency is high, time saving and energy saving, and error rate is low; Basic data, criterion data and weighted data can be implemented in the enterprising accommodating importing of different computing machine and derivation; Power distribution network information to be assessed only need be inputted by given EXCEL template by user can calculate the score of each layer index and the intellectualized reconstruction assessment result of power distribution network automatically into urban power distribution network intellectualized reconstruction evaluating system; The Data Comparison of identical regional different year can be realized, the contrast of identical time different regions, the mixing of different regions different year contrast multiple way of contrast, more can reflect that power distribution network is carrying out the development in intellectualized reconstruction process.
Accompanying drawing explanation
Fig. 1 is urban power distribution network intellectualized reconstruction evaluating system software architecture schematic diagram;
Fig. 2 is urban power distribution network intellectualized reconstruction evaluating system operating process schematic diagram;
Fig. 3 is scheme scoring function module operation schematic flow sheet;
Fig. 4 is scheme comparison's functional module operating process schematic diagram;
Fig. 5 is data exporting functional module operating process schematic diagram.
Embodiment
The present invention mainly comprises following functional module:
Basic data module: comprise in basic data module and the essential information of newly-built power distribution network to be assessed is arranged, comprise urban power distribution network intellectualized reconstruction evaluation system basic database, comprise the setting to evaluation index, the setting of index weights and the setting of index criterion; Described urban power distribution network intellectualized reconstruction evaluation system basic database comprises the secondary characteristic index database under secondary characteristic index under effect type index, one-level key property index, network structure level, the secondary characteristic index under load service capability, the secondary characteristic index under equipment technology level, operation and management level, and wherein effect type index comprises power supply reliability, integrated voltage qualification rate, comprehensive line loss per unit, plant factor and the interactive rate of close friend five indexs; One-level key property index comprises network structure level, load service capability, equipment technology level and operation and management level index; Secondary characteristic index under network structure level comprises contact rate between transformer station's single supply line rate, the monotropic rate of transformer station, medium-voltage line contact rate, medium-voltage line station, medium-voltage line average mark hop count, the grid-connected rate of distributed power source capacity, distributed power source generating and stored energy capacitance ratio index; Secondary characteristic index under load service capability comprises main transformer heavy duty rate, circuit heavy duty rate, main transformer " N-1 " percent of pass, medium-voltage line " N-1 " percent of pass, ratio of transformer capacity to load, medium-voltage line load factor index; Secondary characteristic index under equipment technology level comprises line insulation rate, radius of electricity supply transfinites circuit ratio, circuit section specification rate, high damage distribution transforming ratio, transformer station is idle allocation ratio, distribution transforming is idle allocation ratio, voltage and inactive power automatic regulation device ratio, GIS device utilization rate, distribution network automated terminal coverage rate, integrated automation of transformation stations rate, intelligent electric meter installation rate index; Secondary characteristic index under operation and management level comprise PMS system distribution data integrality, significant deficiency defect elimination rate, temporary interruption ratio, hot line job rate, power failure operation on time telegram in reply rate, power information acquisition system coverage rate, Customer Service Information system coverage rate, 95598 call center system coverage rates, from cabinet payment rate index;
Scheme grading module: comprise the essential information import system of power distribution network to be assessed for EXCEL template; Automatically corresponding index entry value is generated after importing; According to set up urban power distribution network intellectualized reconstruction evaluation system basic data, automatic evaluation is carried out to power distribution network to be assessed;
Scheme comparison's functional module: the assessment result contrast completing different evaluation objects, and displayed by the mode of form and figure, the way of contrast of different evaluation objects comprises: the mixing contrast of the Data Comparison of identical regional different year, the contrast of identical time different regions, different regions different year;
Data exporting functional module: comprise basic data, essential information, evaluation index, index weights, index criterion data import and export respectively; Comprise the derivation of assessment result.
Below in conjunction with accompanying drawing, concrete introduction is done to the present invention:
Fig. 1 is urban power distribution network intellectualized reconstruction evaluating system software architecture schematic diagram, the functional module of whole assessment software is based upon on database, forms functional module by four parts: comprise basic data module, scheme grading module, scheme comparison's module, data exporting module.The bottom is that operating system layer is applicable to the system environmentss such as WIN7, WIN8, XP; The above is database, realizes the management to system Various types of data, storage and maintenance; On be each modular assembly of system, each assembly be plug-in can independent assortment, each functional module uses the exploitation of DotNet Framework class libraries, realizes data transmission between each functional module and database.
Fig. 2 is urban power distribution network intellectualized reconstruction evaluating system operating process schematic diagram, comprises basic data and sets up; Be followed successively by newly-built project to comprise and arrange the essential information of newly-built power distribution network to be assessed, comprising the area of power distribution network to be assessed, time and Scenario Name; Protocol typing/importing, by the information keyboard typing of power distribution network to be assessed or input to system by given EXCEL template, can process given information according to embedded computing formula in system; Newly-built scoring, arranges criterion and weight, can adjustment index criterion and weight as required; Scoring and appraisal result are shown, system calculates assessment result automatically according to the weight of each layer index calculate value and index and criterion, and the reaction assessment result of formal intuition by scheming and show; Scoring contrast, can realize the assessment result contrast of different schemes; Data exporting, in this power distribution network can being assessed, result derives, and the criterion that simultaneously this assessment can also be used and weight derive and use in order to other evaluation schemes.
Fig. 3 is scheme scoring function module operation schematic flow sheet, is summarized as follows its functional module:
(1) scheme is created: create scheme according to area, time and Scenario Name;
(2) raw data imports and can pass through the manual typing protocol of keyboard, also can by EXCEL template by existing for client electrical network essential information import plan data; Automatically generate corresponding index entry value simultaneously;
(3) newly-built scoring: by arranging criterion and weight, mark, if the criterion arranged and weight do not meet logic, system can be pointed out and return newly-built scoring place;
(4) automatic evaluation: automatic evaluation automatically calculates each desired value according to imported information and embedded formula, and index calculate value combined with index criterion and generate every index score, then the result that summation finally obtains power distribution network assessment is weighted to it;
Fig. 4 is scheme comparison's functional module operating process schematic diagram, is summarized as follows its functional module:
Scheme comparison's functional module comprises to be chosen different evaluation schemes, arranges different evaluation schemes and mark under identical criterion and weight, if the criterion arranged and weight do not meet logic, system can be pointed out and return newly-built scoring, selecting properly appraisal result contrast button is set, system can calculate appraisal result automatically according to the formula in a kind of urban power distribution network intellectualized reconstruction appraisal procedure of Chinese patent application (application number 201510146954.8), and shows with form and chart two kinds of modes.The assessment result contrast of different evaluation objects can be completed according to scoring contrast module.The way of contrast of different evaluation objects comprises: the mixing contrast of the Data Comparison of identical regional different year, the contrast of identical time different regions, different regions different year.
The content of Chinese patent application (application number 201510146954.8) a kind of urban power distribution network intellectualized reconstruction appraisal procedure is as follows: the method comprises three steps:
(1) according to power distribution network stakeholder, effect type index is selected for the requirement of power distribution network, and the power distribution network factor of impact effect index is analyzed, obtain the reflection particular content of distribution network construction and the key property index of feature, and further refinement is carried out to these indexs, set up urban power distribution network intellectualized reconstruction evaluation index system table;
(2) based on set up urban power distribution network intellectualized reconstruction evaluation index system, the calculating of index weights is carried out for Index Establishment diverse ways not at the same level;
(3) classify to urban power distribution network intellectualized reconstruction evaluation index system, rational index methods of marking and standards of grading are determined in classification, finally obtain appraisal result and analyze appraisal result;
In step (1), effect type index chooses for the requirement of power distribution network according to power distribution network stakeholder, power consumer requires high-quality electric energy, power consumer requires high-quality electric energy, and with electrical network more in time, more efficient interaction capability, specifically can be embodied in power supply reliability and integrated voltage qualification rate and friendly interactive rate three aspects; The energy-conserving and environment-protective of social desirability, can be summed up as Loss reducing, raise the efficiency, and the introducing of friendly compatible all kinds of distributed power source, also can reduce the consumption of the energy and the discharge of pollutant simultaneously, therefore can select comprehensive line loss per unit and the interactive rate index of close friend; And electric power enterprise is required of benefit, also will ensures high-quality electric power supply simultaneously, therefore need by Loss reducing, the service efficiency improving equipment is increased the benefit, and can select comprehensive line loss per unit index and plant factor index thus; So the effect type index that the present invention selects comprises power supply reliability, integrated voltage qualification rate, comprehensive line loss per unit, plant factor and the interactive rate of close friend five indexs; The power distribution network factor of the effect type index selected by impact is analyzed, obtains the reflection particular content of distribution network construction and the key property index of feature; One-level key property comprises four aspects: network structure level, load service capability, equipment technology level and operation and management level; Wherein network structure level, for evaluating the quality of power grid architecture; Load service capability, for reacting the concrete manifestation of electrical network in load supply; Equipment technology level, refers to advance and the service condition of electrical network; Operation and management level, for portraying the supervision level of electric power enterprise to electrical network; Finally analyze one by one from this four aspects factor to impact effect class index, obtain secondary key property index; Finally set up urban power distribution network intellectualized reconstruction evaluation index system table;
The calculating carrying out index weights for Index Establishment diverse ways not at the same level described in step (2), refers to one-level key property index different with the weighing computation method of secondary key property index; When first order calculation key property index weights, adopt the analytic network process based on DEMATEL, using electrical network total evaluation as key-course target, key property index is as network layer element, according to index incidence relation between any two, set up the ANP network structure between each element; Adopt the grey Relational Analysis Method improved, computation process is that pure values calculates;
Wherein, the analytic network process based on DEMATEL of employing and the concrete steps of the improved grey model degree of association as follows:
1. based on the analytic network process of DEMATEL
To power distribution network intellectualized reconstruction comprehensive assessment problem, using electrical network total evaluation as key-course, key property index, as network layer, according to index incidence relation between any two, sets up the ANP network structure between each element;
ANP is under a criterion, compares between two subject element, thus obtains judgment matrix; There is interdependence, interactional relation between intelligent distribution network each Macro demand index, therefore need to obtain ANP judgment matrix by the mode of more indirect dominance;
If there is Elements C 1, C2 in the network layer of ANP ..., Cn, Elements C
j(j ≠ i) is for C
idirect influence degree be y
ji; Successively with C
i(i=1,2 ..., be n) time criterion, by all the other elements (except C
icompare between two the direct influence degree of this criterion element outward), obtain corresponding judgment matrix, recycling eigenvalue method draws C
iweight vectors under secondary criterion
Weight vectors under all criterions is synthesized weight matrix, weight matrix diagonal line fills out 0, represent that element does not have a direct impact self, the direct influence matrix W in DEMATEL method
d, see formula (2-2);
Average aggregate influence matrix W between each level index, is shown in formula (2-3);
(n is integer, and n ≠ 0) (2-3)
When n is fully large, W=W can be adopted
d(I-W
d)
-1carry out approximate treatment, wherein I is unit matrix, and matrix W is the required inside built and relies on matrix, and combined influence weight matrix is called in letter; The inside of each element set is relied on matrix merge, system hypermatrix can be obtained; Whether unique according to the limit of combined influence weight matrix W, two kinds of situations can be divided into:
1) during existence anduniquess ultimate value,
2) when there is multiple ultimate value, matrix presents cyclical variation, if N point is the beginning of certain cycle period, N point ultimate value is
and T is cycle period, then the ultimate value in the whole cycle is respectively
the mean value getting each point can obtain the ultimate value of average aggregate influence matrix, sees formula (2-4);
For the weighting matrix A of system, the influence degree between each element set calculates; It is combined with system hypermatrix, system weighting hypermatrix can be obtained
Carry out 2k+1 evolution k →+∞ to above-mentioned matrix, a final formation matrix steady in a long-term, its each row nonzero value is all identical, namely obtains the subjective weight vectors of each evaluation index
2. the grey Relational Analysis Method improved
Concrete computing method and step as follows:
1) evaluation index is determined
Expert is engaged to carry out the micro-judgment of weight; Be provided with n evaluation index, have m expert to make micro-judgment to the weight of each index simultaneously, thus form the micro-judgment data sequence of each index weights, matrix form is shown in formula (2-5);
A＝[A
1,A
2,…,A
n]
T
2) reference sequences A is determined
0
From micro-judgment matrix A, select a maximum weighted value as " public " with reference to weighted value, the reference weighted value of each expert all gives this value, sees formula (2-6);
A
0＝(a
01,a
02,…,a
0m) (2-6)
3) each sequence and reference sequences distance is determined
Utilize formula (2-7), calculate each index series A
1, A
2..., A
nwith reference data array A
0between distance;
4) parameter weight
According to formula (2-8) and (2-9), solve the weight of each index, and be normalized;
This algorithm is still using the weight micro-judgment value of expert group as original input data, and by finding maximum expertise judgment value, determine canonical sequence, but above-mentioned formula is improved, computation process is made to be that pure values calculates, without the need to relating to the subjective setup parameter of resolution ratio one class as being subject to the impact of decision maker's individuality in grey relational grade algorithm, computation process is not by the interference of decision maker's subjective factor, on the basis making full use of expertise judgment value subjective information, ensure that the objectivity of computation process, make the weight obtained while reflection subjective degree, subjective degree can be reflected fully,
In step (3), the type according to reference index is classified to index, and pointer type is divided into profit evaluation model index, cost type index and ad hoc type index, and wherein profit evaluation model index refers to along with its mark of increase of index value increases; Cost type index refers to along with its mark of reduction of index value increases; And ad hoc type index when referring to certain numerical value in centre or sub-range value its mark the highest; Methods of marking adopts 100 points of systems;
After above-mentioned 3 steps complete, the comprehensive assessment of row power distribution network intellectualized reconstruction level calculates, and utilizes the score of each secondary key property index of standards of grading gained power distribution network, upwards calculates the overall score of power distribution network according to analytical hierarchy process;
In formula: S
kfor a certain index A of kth layer in hierarchical structure
(k)scoring; J is A
(k)the number of index k+1 layer of index;
for A
(k)the scoring of the k+1 layer index j of index;
for the weight of sub-index j;
Overall scores represents the intelligence degree of this urban power distribution network, and integrate score should be in more than 70 points and represent that the intelligent development degree of power distribution network is higher; Integrate score represents between should being in 60 ~ 70 that power distribution network intelligent development is taken second place; Integrate score represents between should being in 50 ~ 60 that power distribution network intelligent level is general; If scores deviation is comparatively large, the power distribution network intelligent level comparatively backwardness in this city is described, development space is larger, should accelerate the process of intellectualized reconstruction.
Fig. 5 is data exporting functional module operating process schematic diagram, is summarized as follows its functional module:
Comprise data importing, select packet, data importing system, the statistical conversion of derivation, form independently packet flow process; Importing and exporting of optimized integration data, essential information, evaluation index, index weights, index criterion data.During data importing, system can judge whether data exist, and prompting can not import the data of repetition.
Present invention achieves and utilize computing machine to carry out automatic evaluation to urban power distribution network intellectualized reconstruction.Native system can, according to the real needs adjustment criterion of different regions and weight, make assessment result more tally with the actual situation in evaluation process.Native system can also carry out contrast displaying to the evaluation result of different regions or different year under identical criterion and weight condition simultaneously, can react assessment result more intuitively.In addition the criterion data of evaluation scheme and weighted data can in the enterprising accommodating importing of different computing machine and derivation.Native system can be analyzed power distribution network and carry out Problems existing in intellectualized reconstruction process, for the reform strengthening of power distribution network in future is offered suggestions.Native system can also solve the problem due to people's hand computation assessment result inefficiency simultaneously, improves the work efficiency of system personnel.
Claims (5)
1. a urban power distribution network intellectualized reconstruction evaluating system, is characterized in that, comprises following functions module:
Basic data module: comprise in basic data module and the essential information of newly-built power distribution network to be assessed is arranged, comprise urban power distribution network intellectualized reconstruction evaluation system basic database, comprise the setting to evaluation index, the setting of index weights and the setting of index criterion; Described urban power distribution network intellectualized reconstruction evaluation system basic database comprises the secondary characteristic index database under secondary characteristic index under effect type index, one-level key property index, network structure level, the secondary characteristic index under load service capability, the secondary characteristic index under equipment technology level, operation and management level, and wherein effect type index comprises power supply reliability, integrated voltage qualification rate, comprehensive line loss per unit, plant factor and the interactive rate of close friend five indexs; One-level key property index comprises network structure level, load service capability, equipment technology level and operation and management level index; Secondary characteristic index under network structure level comprises contact rate between transformer station's single supply line rate, the monotropic rate of transformer station, medium-voltage line contact rate, medium-voltage line station, medium-voltage line average mark hop count, the grid-connected rate of distributed power source capacity, distributed power source generating and stored energy capacitance ratio index; Secondary characteristic index under load service capability comprises main transformer heavy duty rate, circuit heavy duty rate, main transformer " N-1 " percent of pass, medium-voltage line " N-1 " percent of pass, ratio of transformer capacity to load, medium-voltage line load factor index; Secondary characteristic index under equipment technology level comprises line insulation rate, radius of electricity supply transfinites circuit ratio, circuit section specification rate, high damage distribution transforming ratio, transformer station is idle allocation ratio, distribution transforming is idle allocation ratio, voltage and inactive power automatic regulation device ratio, GIS device utilization rate, distribution network automated terminal coverage rate, integrated automation of transformation stations rate, intelligent electric meter installation rate index; Secondary characteristic index under operation and management level comprise PMS system distribution data integrality, significant deficiency defect elimination rate, temporary interruption ratio, hot line job rate, power failure operation on time telegram in reply rate, power information acquisition system coverage rate, Customer Service Information system coverage rate, 95598 call center system coverage rates, from cabinet payment rate index;
Scheme grading module: comprise the essential information import system of power distribution network to be assessed for EXCEL template; Automatically corresponding index entry value is generated after importing; According to set up urban power distribution network intellectualized reconstruction evaluation system basic data, automatic evaluation is carried out to power distribution network to be assessed;
Scheme comparison's functional module: the assessment result contrast completing different evaluation objects, and displayed by the mode of form and figure, the way of contrast of different evaluation objects comprises: the mixing contrast of the Data Comparison of identical regional different year, the contrast of identical time different regions, different regions different year;
Data exporting functional module: comprise basic data, essential information, evaluation index, index weights, index criterion data import and export respectively; Comprise the derivation of assessment result.
2. a kind of urban power distribution network intellectualized reconstruction evaluating system according to claim 1, it is characterized in that: in basic data module, the essential information of described power distribution network to be assessed arranges and comprises area, time setting and evaluation scheme name setting, described index weights establishes by based on the analytic network process of DEMATEL and the improved grey model degree of association, and described index criterion carries out curve fitting obtained to the discrete criterion of input.
3. a kind of urban power distribution network intellectualized reconstruction evaluating system according to claim 1, it is characterized in that: comprise establishment scheme, by keyboard typing or direct import plan data, newly-built scoring and automatic evaluation flow process in scheme grading module, described automatic evaluation automatically calculates each desired value according to imported information and embedded formula, and index calculate value combined with index criterion and generate every index score, then the result that summation finally obtains power distribution network assessment is weighted to it.
4. a kind of urban power distribution network intellectualized reconstruction evaluating system according to claim 1, is characterized in that: the scheme appraisal result contrast under scheme comparison's module comprises selection different evaluation scheme, identical criterion and weight, output formats and chart flow process.
5. a kind of urban power distribution network intellectualized reconstruction evaluating system according to claim 1, is characterized in that: comprise data importing, select packet, data importing system, the statistical conversion of derivation, form independently packet flow process; Importing and exporting of optimized integration data, essential information, evaluation index, index weights, index criterion data.
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| CN111291950A (en) * | 2018-12-06 | 2020-06-16 | 国网山西省电力公司运城供电公司 | Economic park distribution network active service and operation management and control unified platform |
| CN115392795A (en) * | 2022-10-27 | 2022-11-25 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Transformation assessment method, system, equipment and medium for power distribution network |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104123588A (en) * | 2014-04-30 | 2014-10-29 | 国家电网公司 | Comprehensive evaluation system and method of smart distribution grid |
| CN104318482A (en) * | 2014-08-22 | 2015-01-28 | 国家电网公司 | Comprehensive assessment system and method of smart distribution network |
-
2015
- 2015-04-03 CN CN201510155228.2A patent/CN104899645A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104123588A (en) * | 2014-04-30 | 2014-10-29 | 国家电网公司 | Comprehensive evaluation system and method of smart distribution grid |
| CN104318482A (en) * | 2014-08-22 | 2015-01-28 | 国家电网公司 | Comprehensive assessment system and method of smart distribution network |
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