CN108764659A - A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method - Google Patents
A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method Download PDFInfo
- Publication number
- CN108764659A CN108764659A CN201810445932.5A CN201810445932A CN108764659A CN 108764659 A CN108764659 A CN 108764659A CN 201810445932 A CN201810445932 A CN 201810445932A CN 108764659 A CN108764659 A CN 108764659A
- Authority
- CN
- China
- Prior art keywords
- distribution network
- network reliability
- factor
- reliability
- factors
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000004458 analytical method Methods 0.000 title claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims abstract description 31
- 239000011159 matrix material Substances 0.000 claims abstract description 15
- 230000008569 process Effects 0.000 claims abstract description 6
- 238000007726 management method Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- PHEDXBVPIONUQT-RGYGYFBISA-N phorbol 13-acetate 12-myristate Chemical compound C([C@]1(O)C(=O)C(C)=C[C@H]1[C@@]1(O)[C@H](C)[C@H]2OC(=O)CCCCCCCCCCCCC)C(CO)=C[C@H]1[C@H]1[C@]2(OC(C)=O)C1(C)C PHEDXBVPIONUQT-RGYGYFBISA-N 0.000 claims description 2
- 238000013210 evaluation model Methods 0.000 abstract 1
- 238000013459 approach Methods 0.000 description 3
- 230000001066 destructive effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005303 weighing Methods 0.000 description 2
- 244000000626 Daucus carota Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 235000005770 birds nest Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000009916 joint effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000010189 synthetic method Methods 0.000 description 1
- 235000005765 wild carrot Nutrition 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method, by the System of Comprehensive Evaluation for establishing distribution network reliability influence factor, build the comprehensive evaluation model that distribution network reliability influence factor is analyzed based on Fuzzy Comprehensive Method, it realizes and completes the target analyzed the power supply reliability of power distribution network in more accurate method, guidance is provided for distribution network planning.This method influences the principal element collection of distribution network reliability by determining, first with analytic hierarchy process (AHP)（AHP）Set of factors is layered, multilevel iudge matrix is constructed, completes Mode of Level Simple Sequence and total sequence, then by consistency check, determine indices weight.Simultaneously on this basis, fuzzy marking is carried out to each single index using Fuzzy Comprehensive Method, determines the correlation degree between power supply reliability and each influence factor, finally obtains the overall merit to distribution network reliability.
Description
Technical field
The present invention relates to the Optimal scheduling technical field of the power supply reliability influence factor of power distribution network more particularly to a kind of bases
In the distribution network reliability analysis of Influential Factors method of Fuzzy Comprehensive Method.
Background technology
With the progress of sociometric technique, the ratio shared by distribution network reliability is also increasing, and user often spends electricity
The output value increasingly rises, unit power failure measure to user and society caused by economic loss it is increasing, user is to power supply reliability
It is required that it is also higher and higher, therefore, it is necessary to analyze distribution network reliability factor, find to user side fault outage
Heavier factor is influenced, convenient for distribution network planning is transformed.
Distribution network reliability influence factor includes mainly external factor and internal factor, and external factor includes mainly certainly
Right environment and external force destructive factor, internal factor includes mainly grid structure, equipment equipment, power distribution automation is horizontal and manages
Manage horizontal factor.Wherein grid structure refers to that the Connection Mode of power distribution network, Connection Mode mainly have radial pattern, ring-like, segmentation
Contact type and standby type wiring；Natural environment is the factors such as weather conditions, geographical location residing for power distribution network；External force destructive factor
It include mainly artificial responsibility（The factors such as vehicle is destroyed, constructed, pilferage destroys cause）And sundries（Marriage colored ribbon, kite, Bird's Nest etc.
Factor causes）；Equipment equipment refers to apparatus insulated, degree of aging；Power distribution automation level is referred to telemetering, distant
The switch of letter or distant control function is reached the standard grade rate；Management level refers to equipment state overhauling rate and livewire work rate.Power distribution network is powered
Reliability effect factor is a lot of, when calculating distribution network reliability, often only counts its main influence factor, ignores
Its secondary or very little influence factor is calculated and is analyzed with convenient and reliable property.However, being carried out to distribution network reliability
When analysis, it tends to be difficult to directly give the degree of association accurate Analysis model of influence factor and reliability index, therefore with fuzzy
Property.
Not yet using the related degree model between Fuzzy Comprehensive Method analysis distribution network reliability and its influence factor at present
Occur.Fuzzy Comprehensive Method is that qualitative evaluation is converted into quantitative assessment according to the topology degree that is subordinate to of fuzzy mathematics, that is, uses fuzzy number
It learns and evaluating for totality is made to the things or object that are restricted by many factors.It has result clear, and systematicness is strong
Feature, can preferably solve the problems, such as it is fuzzy, be difficult to quantify, be suitble to various uncertain problems solution, in conjunction with level
Analytic approach seeks weight, is the relatively effective method of the degree of association between present analysis distribution network reliability and its influence factor.
Invention content
The technical problem to be solved in the present invention be to provide a kind of distribution network reliability based on Fuzzy Comprehensive Method influence because
Plain analysis method is realized and completes the target analyzed the power supply reliability of power distribution network in more accurate method, is power distribution network
Planning provides guidance.
A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method, includes the following steps：
Determining influences the principal element collection of distribution network reliability, is layered to the set of factors according to analytic hierarchy process (AHP), often
Layer has several evaluation indexes, establishes distribution network reliability influence element assessment index system, and construction lower layer evaluation index is opposite
The judgment matrix of upper layer evaluation index completes Mode of Level Simple Sequence, total hierarchial sorting and consistency desired result, acquires every layer of evaluation index
In each index weight, using Fuzzy Comprehensive Method to distribution network reliability influence factor carry out overall assessment, and then really
Determine the correlation degree between power supply reliability and each influence factor, guidance is provided for distribution network planning.
Distribution network reliability is destroyed, is set by several factors joint effect, such as grid structure, natural environment, external force
Standby equipment, power distribution automation level, management level factor etc., it is difficult to directly give the pass of influence factor and reliability index
Connection degree accurate Analysis model, therefore there is ambiguity.So present invention introduces fuzzy processing method, fuzzy synthetic method is utilized
It determines the correlation degree between power supply reliability and each influence factor, that is, determines the weight of each reliability effect factor.Pass through structure
Multilevel iudge matrix is made, Mode of Level Simple Sequence and total sequence are completed, it is final to determine indices power then by consistency check
Weight.Simultaneously on this basis, fuzzy marking is carried out to each single index, finally obtains the overall merit to distribution network reliability.
Description of the drawings
Fig. 1 is that a kind of flow of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method of the present invention is shown
It is intended to, Fig. 2 is the hierarchical chart that analytic hierarchy process (AHP) seeks weight.
A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method of the present invention includes the following steps：
S1 determines the principal element collection for influencing distribution network reliability；
The principal element collection of influence distribution network reliability described in this step includes：External factor and internal factor, if
For set A.
S2 is layered the set of factors according to AHP methods, and every layer has several evaluation indexes, establishes distribution network reliability
Influence element assessment index system；
In this step, the content includes：Set of factors A is layered, i.e. A={ A1、A2}={ external factor, it is internal because
Element }, the external factor A1={A11、A12}={ natural environment, external force are destroyed }；The internal factor A2={A21、A22、A23、A24}=
{ grid structure, equipment equipment, power distribution automation level, management level }, if each sub- factor after layering represents this layer
Dry evaluation index.
S3, construction lower layer's evaluation index complete Mode of Level Simple Sequence, level is always arranged with respect to the judgment matrix of upper layer evaluation index
Sequence and consistency desired result acquire the weight of each index in every layer of evaluation index；
In this step, the content includes：
（1）Since rule layer, judgment matrix of the structure lower layer's evaluation index with respect to upper layer evaluation index.Judgment matrix can define
For：
（1）
In formulaThe judgment value that i elements are relatively obtained with j elements in this layer of evaluation index is represented,For of this layer of evaluation index
Number, i.e. judgment matrixExponent number.
（2）To each judgment matrixCalculate Maximum characteristic rootAnd its corresponding feature vector, this feature vector are exactly
The single sequence of importance of each factor of evaluation, that is to say weight vector, be through normalizing postscript, i.e.,,。
WhereinFor the number of this layer of evaluation index,For the weight vector of rule layer relative target layer,It is the opposite rule layer of solution layer
Weight vector.
（3）Consistency check is done to each judgment matrix, formula can be denoted as：
（2）
Wherein,For the maximum eigenvalue of judgment matrix, n is the dimension of judgment matrix；CI, RI be respectively coincident indicator and
Aver-age Random Consistency Index, RI are known constant.If CR < 0.1, it is believed that the consistency of judgment matrix can receive, if
CR < 0.1 are unsatisfactory for, then need the value of adjustment judgment matrix element, until with satisfied consistency.
（4）According to single rank order filtering result of calculation, the weight vector of numerical procedure layer relative target layer always to sort is calculated as
Vectorial B is used in combination total sequence consistency ratio CR to be verified.
（3）
（4）
Wherein,For the weighted value of n-th of factor in rule layer,、Respectively solution layer is single to the level of rule layer
The coincident indicator and Aver-age Random Consistency Index of sequence, as CR < 0.1, it is believed that total hierarchial sorting the result is that satisfied.
S3 carries out overall assessment to distribution network reliability influence factor using Field Using Fuzzy Comprehensive Assessment, and then determines
Correlation degree between power supply reliability and each influence factor；
In this step, the content includes：
1）Establish set of factors,For the sub- set of factors of set of factors A, sub- set of factorsThere are several to comment
Valence index, i.e.,, sub- set of factors is acquired according to S3 stepsTo the weighing factor of A, indexAntithetical phrase because
Element collectionWeighing factor。
2）To each evaluation indexIt is divided into m evaluation approach, i.e.,, each grade can correspond to one
A fuzzy subset, specific grade can be described according to evaluation content with language appropriate.
3）It, be one by one to each index in set of factors after constructing grade fuzzy subsetThe amount of progress
Change, that is, determines degree of membership of the object to each grade fuzzy subset of being appraised things through discussion from the point of view of single index, and then obtain fuzzy relation
Matrix R.
（5）
Wherein,It indicates from factorFrom the point of view of pairThe degree of membership of grade fuzzy subset.
4）In fuzzy overall evaluation, the weight vector of factor of evaluation is determined according to above-mentioned analytic hierarchy process (AHP)：。
5）It will using suitable operatorWith each object of being appraised things through discussionIt is synthesized, obtains the fuzzy synthesis of each object of being appraised things through discussion
Evaluation result vector.I.e.：
（6）
WhereinBe byWith?What column operations obtained, its object that indicates to be appraised things through discussion is seen pair on the wholeGrade fuzzy subset
Subjection degree.
Determine the evaluation approach belonging to power supply reliability influence factor, that is, provide the final of power supply reliability influence factor
Score, and then determine evaluation result.
The embodiments of the present invention described above are not intended to limit the scope of the present invention.It is any in the present invention
Spirit and principle within made by modifications, equivalent substitutions and improvements etc., should be included in the claim protection model of the present invention
It encloses.
Claims (3)
1. a kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method, which is characterized in that including following step
Suddenly:
Determining influences the principal element collection of distribution network reliability, is layered to the set of factors according to analytic hierarchy process (AHP), often
Layer has several evaluation indexes, establishes distribution network reliability influence element assessment index system, and construction lower layer evaluation index is opposite
The judgment matrix of upper layer evaluation index completes Mode of Level Simple Sequence, total hierarchial sorting and consistency desired result, acquires every layer of evaluation index
In each index weight, using Fuzzy Comprehensive Method to distribution network reliability influence factor carry out overall assessment, and then really
Determine the correlation degree between power supply reliability and each influence factor, guidance is provided for distribution network planning.
2. a kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method as described in claim 1, special
Sign is, determines that the principal element collection for influencing distribution network reliability includes：External factor and internal factor are set as set A.
3. a kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method as described in claim 1, special
Sign is, is layered to the set of factors according to analytic hierarchy process (AHP), every layer has several evaluation indexes, establishes distribution network reliability
The step of influence element assessment index system includes：Set of factors A is layered, i.e. A={ A1、A2}={ external factor, it is internal because
Element }, the external factor A1={A11、A12}={ natural environment, external force are destroyed }；The internal factor A2={A21、A22、A23、A24}=
{ grid structure, equipment equipment, power distribution automation level, management level }, if each sub- factor after layering represents this layer
Dry evaluation index.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810445932.5A CN108764659A (en) | 2018-05-11 | 2018-05-11 | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810445932.5A CN108764659A (en) | 2018-05-11 | 2018-05-11 | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108764659A true CN108764659A (en) | 2018-11-06 |
Family
ID=64009482
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810445932.5A Pending CN108764659A (en) | 2018-05-11 | 2018-05-11 | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108764659A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109784620A (en) * | 2018-12-06 | 2019-05-21 | 天津大学 | Pipe scale based on analytic hierarchy process (AHP) adsorbs impact of heavy metals factors quantization evaluation method |
| CN110244255A (en) * | 2019-07-01 | 2019-09-17 | 国网重庆市电力公司电力科学研究院 | Intelligent electric energy meter Reliability Synthesis evaluation method and device based on step analysis |
| CN111563682A (en) * | 2020-05-07 | 2020-08-21 | 贵州电网有限责任公司 | Test evaluation method for distribution automation equipment |
| CN112001624A (en) * | 2020-08-21 | 2020-11-27 | 西安西拓电气股份有限公司 | Power supply reliability assessment method, device, equipment and storage medium for power distribution room |
| CN113269390A (en) * | 2021-03-31 | 2021-08-17 | 国网山西省电力公司吕梁供电公司 | High-reliability power supply area distribution network planning effect comprehensive evaluation method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
| CN102013085A (en) * | 2010-12-14 | 2011-04-13 | 天津市电力公司 | Evaluation method for distribution network reliability |
| CN103679544A (en) * | 2012-11-27 | 2014-03-26 | 江苏省电力公司南京供电公司 | Comprehensive assessment method for running of intelligent power distribution network |
| CN103761684A (en) * | 2014-01-20 | 2014-04-30 | 广州供电局有限公司 | Comprehensive evaluation method and system of overall state of transmission cable |
| CN104036364A (en) * | 2014-06-24 | 2014-09-10 | 国家电网公司 | Evaluation method for network structure level of power distribution network |
| CN105184397A (en) * | 2015-08-26 | 2015-12-23 | 国家电网公司 | Electric power replacement effect evaluation method based on analytic hierarchy process and fuzzy comprehensive evaluation |
| CN106251045A (en) * | 2016-07-21 | 2016-12-21 | 中国南方电网有限责任公司电网技术研究中心 | Distribution network reliability appraisal procedure based on multiple leading factor |
| WO2017165510A1 (en) * | 2016-03-24 | 2017-09-28 | Veniam, Inc. | Systems and methods for transmission power adaptation in the network of moving things |
| CN107563680A (en) * | 2017-10-20 | 2018-01-09 | 广东电网有限责任公司电力科学研究院 | A kind of distribution network reliability evaluation method based on AHP and entropy assessment |
| CN107609730A (en) * | 2017-07-27 | 2018-01-19 | 广西电网有限责任公司电力科学研究院 | A kind of method being classified based on AHP Fuzzy Evaluation Methods to sale of electricity company |
-
2018
- 2018-05-11 CN CN201810445932.5A patent/CN108764659A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
| CN102013085A (en) * | 2010-12-14 | 2011-04-13 | 天津市电力公司 | Evaluation method for distribution network reliability |
| CN103679544A (en) * | 2012-11-27 | 2014-03-26 | 江苏省电力公司南京供电公司 | Comprehensive assessment method for running of intelligent power distribution network |
| CN103761684A (en) * | 2014-01-20 | 2014-04-30 | 广州供电局有限公司 | Comprehensive evaluation method and system of overall state of transmission cable |
| CN104036364A (en) * | 2014-06-24 | 2014-09-10 | 国家电网公司 | Evaluation method for network structure level of power distribution network |
| CN105184397A (en) * | 2015-08-26 | 2015-12-23 | 国家电网公司 | Electric power replacement effect evaluation method based on analytic hierarchy process and fuzzy comprehensive evaluation |
| WO2017165510A1 (en) * | 2016-03-24 | 2017-09-28 | Veniam, Inc. | Systems and methods for transmission power adaptation in the network of moving things |
| CN106251045A (en) * | 2016-07-21 | 2016-12-21 | 中国南方电网有限责任公司电网技术研究中心 | Distribution network reliability appraisal procedure based on multiple leading factor |
| CN107609730A (en) * | 2017-07-27 | 2018-01-19 | 广西电网有限责任公司电力科学研究院 | A kind of method being classified based on AHP Fuzzy Evaluation Methods to sale of electricity company |
| CN107563680A (en) * | 2017-10-20 | 2018-01-09 | 广东电网有限责任公司电力科学研究院 | A kind of distribution network reliability evaluation method based on AHP and entropy assessment |
Non-Patent Citations (1)
| Title |
|---|
| 王卫平: "基于AHP与模糊评价法的中压配电网项目综合评估方法" * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109784620A (en) * | 2018-12-06 | 2019-05-21 | 天津大学 | Pipe scale based on analytic hierarchy process (AHP) adsorbs impact of heavy metals factors quantization evaluation method |
| CN110244255A (en) * | 2019-07-01 | 2019-09-17 | 国网重庆市电力公司电力科学研究院 | Intelligent electric energy meter Reliability Synthesis evaluation method and device based on step analysis |
| CN111563682A (en) * | 2020-05-07 | 2020-08-21 | 贵州电网有限责任公司 | Test evaluation method for distribution automation equipment |
| CN112001624A (en) * | 2020-08-21 | 2020-11-27 | 西安西拓电气股份有限公司 | Power supply reliability assessment method, device, equipment and storage medium for power distribution room |
| CN113269390A (en) * | 2021-03-31 | 2021-08-17 | 国网山西省电力公司吕梁供电公司 | High-reliability power supply area distribution network planning effect comprehensive evaluation method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108764659A (en) | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method | |
| CN109583520B (en) | State evaluation method of cloud model and genetic algorithm optimization support vector machine | |
| CN102496069B (en) | Cable multimode safe operation evaluation method based on fuzzy analytic hierarchy process (FAHP) | |
| CN105046402B (en) | A kind of state evaluating method applied to secondary equipment of intelligent converting station | |
| CN106204392A (en) | Environment risk source early warning system | |
| CN108108877A (en) | A kind of transmission line of electricity damage to crops caused by thunder methods of risk assessment based on BP neural network | |
| CN104063612B (en) | A kind of Tunnel Engineering risk profiles fuzzy evaluation method and assessment system | |
| CN104200288B (en) | A kind of equipment fault Forecasting Methodology based on dependency relation identification between factor and event | |
| CN106651169A (en) | Fuzzy comprehensive evaluation-based distribution automation terminal state evaluation method and system | |
| CN105975735A (en) | Modeling method for assessing health state of power equipment | |
| WO2022021726A1 (en) | Pmu-based power system state estimation performance evaluation method | |
| CN103400044B (en) | A kind of water environment safety evaluation analysis method of improvement | |
| CN105117602A (en) | Metering apparatus operation state early warning method | |
| CN108038300A (en) | Optical fiber state evaluating method based on improved membership function combination neutral net | |
| CN106447205A (en) | Method for evaluating state of distribution automation terminal based on analytic hierarchy process | |
| CN105139268A (en) | Power grid safety risk assessment method | |
| CN108647854A (en) | A kind of method and system of determining electric transmission network running quality | |
| CN106203875A (en) | A kind of model for power equipment health state evaluation | |
| CN104077493B (en) | Method for constructing state evaluation index system of electric relaying protection system | |
| CN108053148A (en) | A kind of efficient diagnostic method of power information system failure | |
| CN112688431A (en) | Power distribution network load overload visualization method and system based on big data | |
| CN109472293A (en) | A kind of grid equipment file data error correction method based on machine learning | |
| CN107295537A (en) | A kind of method and system for wireless sensor network reliability of testing and assessing | |
| CN110516907A (en) | A kind of rock burst grade evaluation method based on AHP- entropy weight cloud model | |
| CN110378549A (en) | A kind of transmission tower bird pest grade appraisal procedure based on FAHP- entropy assessment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181106 |
|
| RJ01 | Rejection of invention patent application after publication |