CN108921438A - A kind of power distribution network regulation and administration weak link identification method based on cascade weight - Google Patents
A kind of power distribution network regulation and administration weak link identification method based on cascade weight Download PDFInfo
- Publication number
- CN108921438A CN108921438A CN201810752178.XA CN201810752178A CN108921438A CN 108921438 A CN108921438 A CN 108921438A CN 201810752178 A CN201810752178 A CN 201810752178A CN 108921438 A CN108921438 A CN 108921438A
- Authority
- CN
- China
- Prior art keywords
- index
- power distribution
- distribution network
- weight
- administration
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000011156 evaluation Methods 0.000 claims description 72
- 239000006185 dispersion Substances 0.000 claims description 5
- 101100001678 Emericella variicolor andM gene Proteins 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 5
- 206010021703 Indifference Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000013024 troubleshooting Methods 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
-
- 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)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (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)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The present invention relates to a kind of power distribution network regulation and administration weak link identification methods based on cascade weight, are primarily based on analytic hierarchy structure, calculate power distribution network regulation and administration base values and cascade weight；Then using index connection weight between entropy assessment calculating power distribution network regulation and administration level；The contribution margin of each base values is finally calculated according to the calculated result of step S1 and step S2, and it is sorted from low to high, contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.The present invention can scientifically and accurately identify the weak link in power distribution network regulation and administration business.
Description
Technical field
The present invention relates to electric system assessment technique field, especially a kind of power distribution network regulation and administration based on cascade weight
Weak link identification method.
Background technique
Power distribution network regulation and administration is the important leverage for guaranteeing power network safety operation and operating personnel's safety.With distribution
The continuous access of the new equipments such as the continuous development of network planning mould and distributed generation resource, emerging load, power distribution network regulation and administration become more
Add complexity.Currently, it is domestic about the result of study of power distribution network regulation and administration evaluation aspect, but due to power distribution network regulating tube
Reason be related to overhaul of the equipments, troubleshooting, unusual fluctuation management, power distribution automation, industry expand etc. multinomial business, and with construction, operation, fortune
Each professional close-coupled such as dimension, repairing, is often difficult to recognize for weak link present in power distribution network regulation and administration.
Summary of the invention
In view of this, the purpose of the present invention is to propose to a kind of power distribution network regulation and administration weak links based on cascade weight to distinguish
Knowledge method can scientifically and accurately identify the weak link in power distribution network regulation and administration business.
The present invention is realized using following scheme：A kind of power distribution network regulation and administration weak link identification side based on cascade weight
Method includes the following steps：
Step S1：Based on analytic hierarchy structure, calculates power distribution network regulation and administration base values and cascade weight；
Step S2：Using index connection weight between entropy assessment calculating power distribution network regulation and administration level；
Step S3：Calculate the contribution margin of each base values according to the calculated result of step S1 and step S2, and by it from low
It sorts to height, contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
Further, step S1 includes the following steps：
Step S11：Determine analytic hierarchy structure；The analytic hierarchy structure include comprehensive evaluation index, level-one evaluation refer to
Mark is to N grades of evaluation indexes, basic evaluation index, and total L+2 layers of index system structure, wherein L is positive integer；Comprehensive evaluation index
Only one index of layer indicates the overall evaluation as a result, other level indexs include multiple indexs, and index connection relationship meets tree-shaped
Structure, and there are connection weights only between upper and lower level index, with onrelevant between level index；
Step S12：Power distribution network regulation and administration base values is calculated using following formula and cascades weight：
In formula,Indicate h in level HjCascade weight between a index and base values j,For h layers of jth
A index,Then it isThe upper level index of connection, andAsWithBetween connection weight.
Further, step S2 specifically includes following steps：
Step S21：To n evaluation object, andM junior's evaluation index, enable xijFor i-th evaluation object
The score of j-th of evaluation index, whereinFor h layers of k-th of index, i=1,2 ..., n, j=1,2 ..., m；
Step S22：Heterogeneous index normalized：Due to the dimension and numberical range disunity of every evaluation index, because
This should first be normalized before carrying out COMPREHENSIVE CALCULATING to them.In view of assessment indicator system had both included that forward direction refers to
Mark, and including negative sense index (the higher the better for positive index value, and the lower negative sense index value the better), to positive index and negative sense
Index is respectively adopted following two formula and is normalized, wherein i=1, and 2 ..., n, j=1,2 ..., m：
In formula,For positive index,For negative sense index；
Step S23：Calculate the entropy of each evaluation index, wherein the entropy e of j-th of evaluation indexjIt is calculated using following formula,
Wherein, j=1,2 ..., m：
In formula,
Step S24：Calculate the entropy weight of each evaluation index, wherein the entropy weight ω of j-th of evaluation indexjIt is calculated using following formula,
Wherein, j=1,2 ..., m：
In formula, when value of each evaluation object on evaluation index j is identical, the entropy e of the evaluation indexjReach most
Big value, but the evaluation index does not provide valuable information to policymaker, i.e., and under the evaluation index, all evaluation objects are fought to the finish
It is indifference for plan person, the entropy weight of the evaluation index should be minimum at this time, and can be set to 0, i.e., the evaluation index can pick
It removes.Therefore, d is takenij=1-ej, indicate the dispersion degree of j-th of evaluation index, dispersion degree is bigger, and discrimination is bigger, weight
It also should be bigger.
Further, the power distribution network regulation and administration base values by aforementioned based on analytic hierarchy structure cascades weight calculation
Index connection weight calculation method between method, and the power distribution network regulation and administration level based on entropy assessment, in conjunction with base values
Score is evaluated, the contribution margin of each base values in i-th of evaluation object comprehensive evaluation result is calculated.Step S3 includes following
Step：
Step S31：The contribution margin S of j-th of base values is calculated using following formulaij：
Sij=wjpij；
In formula, wjIndicate the cascade weight between comprehensive evaluation index and jth base values；
Step S32：The contribution margin of each base values is sorted from low to high, which is that each base values is corresponding
The weak degree of service link sorts, and contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
Compared with prior art, the invention has the following beneficial effects：The present invention is based on industry every in power distribution network regulation and administration
The evaluation result for base values of being engaged in, proposes the calculation method of connection weight between index, and realizes the calculating of cascade weight, thus real
Now the weak degree of every service basic index is recognized, auxiliary higher level's scheduling institution, which is realized, manages the science of regional distribution business
Control.
Detailed description of the invention
Fig. 1 is circuit theory schematic diagram of the invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Present embodiments provide it is a kind of based on cascade weight power distribution network regulation and administration weak link identification method, including with
Lower step：
Step S1：Based on analytic hierarchy structure, calculates power distribution network regulation and administration base values and cascade weight；
Step S2：Using index connection weight between entropy assessment calculating power distribution network regulation and administration level；
Step S3：Calculate the contribution margin of each base values according to the calculated result of step S1 and step S2, and by it from low
It sorts to height, contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
In the present embodiment, step S1 includes the following steps：
Step S11：Determine analytic hierarchy structure；The analytic hierarchy structure include comprehensive evaluation index, level-one evaluation refer to
Mark is to N grades of evaluation indexes, basic evaluation index, and total L+2 layers of index system structure, wherein L is positive integer；Comprehensive evaluation index
Only one index of layer indicates the overall evaluation as a result, other level indexs include multiple indexs, and index connection relationship meets tree-shaped
Structure, and there are connection weights only between upper and lower level index, with onrelevant between level index；As shown in FIG. 1, FIG. 1 is L
Three-decker schematic diagram when being 1.
Step S12：Power distribution network regulation and administration base values is calculated using following formula and cascades weight：
In formula,Indicate h in level HjCascade weight between a index and base values j,For h layers of jth
A index,Then it isThe upper level index of connection, andAsWithBetween connection weight.
In the present embodiment, step S2 specifically includes following steps：
Step S21：To n evaluation object, andM junior's evaluation index, enable xijFor i-th evaluation object
The score of j-th of evaluation index, whereinFor h layers of k-th of index, i=1,2 ..., n, j=1,2 ..., m；
Step S22：Heterogeneous index normalized：Due to the dimension and numberical range disunity of every evaluation index, because
This should first be normalized before carrying out COMPREHENSIVE CALCULATING to them.In view of assessment indicator system had both included that forward direction refers to
Mark, and including negative sense index (the higher the better for positive index value, and the lower negative sense index value the better), to positive index and negative sense
Index is respectively adopted following two formula and is normalized, wherein i=1, and 2 ..., n, j=1,2 ..., m：
In formula,For positive index,For negative sense index；
Step S23：Calculate the entropy of each evaluation index, wherein the entropy e of j-th of evaluation indexjIt is calculated using following formula,
Wherein, j=1,2 ..., m：
In formula,
Step S24：Calculate the entropy weight of each evaluation index, wherein the entropy weight ω of j-th of evaluation indexjIt is calculated using following formula,
Wherein, j=1,2 ..., m：
In formula, when value of each evaluation object on evaluation index j is identical, the entropy e of the evaluation indexjReach most
Big value, but the evaluation index does not provide valuable information to policymaker, i.e., and under the evaluation index, all evaluation objects are fought to the finish
It is indifference for plan person, the entropy weight of the evaluation index should be minimum at this time, and can be set to 0, i.e., the evaluation index can pick
It removes.Therefore, d is takenij=1-ej, indicate the dispersion degree of j-th of evaluation index, dispersion degree is bigger, and discrimination is bigger, weight
It also should be bigger.
In the present embodiment, the power distribution network regulation and administration base values by aforementioned based on analytic hierarchy structure cascades weight
Index connection weight calculation method between calculation method, and the power distribution network regulation and administration level based on entropy assessment, refers in conjunction with basis
Target evaluates score, and the contribution margin of each base values in i-th of evaluation object comprehensive evaluation result is calculated.Step S3 includes
Following steps：
Step S31：The contribution margin S of j-th of base values is calculated using following formulaij：
Sij=wjpij；
In formula, wjIndicate the cascade weight between comprehensive evaluation index and jth base values；
Step S32：The contribution margin of each base values is sorted from low to high, which is that each base values is corresponding
The weak degree of service link sorts, and contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, is all covered by the present invention.
Claims (4)
1. a kind of power distribution network regulation and administration weak link identification method based on cascade weight, it is characterised in that：Including following step
Suddenly：
Step S1：Based on analytic hierarchy structure, calculates power distribution network regulation and administration base values and cascade weight；
Step S2：Using index connection weight between entropy assessment calculating power distribution network regulation and administration level；
Step S3：The contribution margin of each base values is calculated according to the calculated result of step S1 and step S2, and from low to high by it
Sequence, contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
2. a kind of power distribution network regulation and administration weak link identification method based on cascade weight according to claim 1,
It is characterized in that：Step S1 includes the following steps：
Step S11：Determine analytic hierarchy structure；The analytic hierarchy structure includes comprehensive evaluation index, level-one evaluation index to N
Grade evaluation index, basic evaluation index, total L+2 layers of index system structure, wherein L is positive integer；Comprehensive evaluation index layer is only
There is an index, indicates the overall evaluation as a result, other level indexs include multiple indexs, index connection relationship meets tree-shaped knot
Structure, and there are connection weights only between upper and lower level index, with onrelevant between level index；
Step S12：Power distribution network regulation and administration base values is calculated using following formula and cascades weight：
In formula,Indicate h in level HjCascade weight between a index and base values j,For h layers of j-th of finger
Mark,Then it isThe upper level index of connection, andAsWithBetween connection weight.
3. a kind of power distribution network regulation and administration weak link identification method based on cascade weight according to claim 1,
It is characterized in that：Step S2 specifically includes following steps：
Step S21：To n evaluation object, andM junior's evaluation index, enable xijIt is j-th of i-th of evaluation object
The score of evaluation index, whereinFor h layers of k-th of index, i=1,2 ..., n, j=1,2 ..., m；
Step S22：Heterogeneous index normalized：Following two formula is respectively adopted to positive index and negative sense index to return
One change processing, wherein i=1,2 ..., n, j=1,2 ..., m：
In formula, x'i,j +For positive index, x'i,j -For negative sense index；
Step S23：Calculate the entropy of each evaluation index, wherein the entropy e of j-th of evaluation indexjIt is calculated using following formula, wherein j
=1,2 ..., m：
In formula,
Step S24：Calculate the entropy weight of each evaluation index, wherein the entropy weight ω of j-th of evaluation indexjIt is calculated using following formula, wherein
J=1,2 ..., m：
In formula, dij=1-ej, indicate the dispersion degree of j-th of evaluation index.
4. a kind of power distribution network regulation and administration weak link identification method based on cascade weight according to claim 1,
It is characterized in that：Step S3 includes the following steps：
Step S31：The contribution margin S of j-th of base values is calculated using following formulaij：
Sij=wjpij；
In formula, wjIndicate the cascade weight between comprehensive evaluation index and jth base values；
Step S32：The contribution margin of each base values is sorted from low to high, which is that each base values corresponds to business
The weak degree of link sorts, and contribution margin is lower, and weak degree is higher, to realize that weak link recognizes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810752178.XA CN108921438B (en) | 2018-07-10 | 2018-07-10 | Power distribution network regulation and control management weak link identification method based on cascade weight |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810752178.XA CN108921438B (en) | 2018-07-10 | 2018-07-10 | Power distribution network regulation and control management weak link identification method based on cascade weight |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108921438A true CN108921438A (en) | 2018-11-30 |
| CN108921438B CN108921438B (en) | 2022-03-08 |
Family
ID=64411515
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810752178.XA Active CN108921438B (en) | 2018-07-10 | 2018-07-10 | Power distribution network regulation and control management weak link identification method based on cascade weight |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108921438B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109976271A (en) * | 2019-03-05 | 2019-07-05 | 河海大学常州校区 | A kind of method calculating the message structure degree of order using information representation method |
| CN112381429A (en) * | 2020-11-20 | 2021-02-19 | 联通(浙江)产业互联网有限公司 | Manufacturing enterprise multi-level KPI system reconstruction method, device and equipment |
| CN115829144A (en) * | 2022-12-16 | 2023-03-21 | 华北电力大学 | Method for establishing power grid service optimization model and electronic equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710304A (en) * | 2009-11-27 | 2010-05-19 | 中国科学院软件研究所 | Method for evaluating implementation quality of software process |
| US20120317058A1 (en) * | 2011-06-13 | 2012-12-13 | Abhulimen Kingsley E | Design of computer based risk and safety management system of complex production and multifunctional process facilities-application to fpso's |
| CN102855386A (en) * | 2012-07-31 | 2013-01-02 | 北京市市政工程设计研究总院 | Footway and non-motorized vehicle lane evaluating method and device |
| CN103150684A (en) * | 2012-12-28 | 2013-06-12 | 中国电力科学研究院 | Evaluation index degradation impact analysis method based on analytic hierarchy process |
| CN104102840A (en) * | 2014-07-16 | 2014-10-15 | 国家电网公司 | Evaluation method for photovoltaic power receptivity of power distribution network |
| CN104243478A (en) * | 2014-09-19 | 2014-12-24 | 中国联合网络通信集团有限公司 | Safety protection capability assessment method and equipment of network equipment |
| CN105373904A (en) * | 2015-12-24 | 2016-03-02 | 江苏方天电力技术有限公司 | Application method of regulation data evaluating model in operation and maintenance of information system |
| CN106326473A (en) * | 2016-08-31 | 2017-01-11 | 国信优易数据有限公司 | Data mining method based on entropy weight algorithm and analytic hierarchy process and system thereof |
| CN106599601A (en) * | 2016-12-29 | 2017-04-26 | 中国科学院遥感与数字地球研究所 | Remote sensing assessment method and system for ecosystem vulnerability |
| CN107909253A (en) * | 2017-11-02 | 2018-04-13 | 国网天津市电力公司电力科学研究院 | Intelligent distribution network scheduling controlling effect evaluation method based on interval based AHP |
| CN108241932A (en) * | 2018-01-24 | 2018-07-03 | 国网山东省电力公司泰安供电公司 | A kind of method for building up of electricity provider evaluation model |
-
2018
- 2018-07-10 CN CN201810752178.XA patent/CN108921438B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710304A (en) * | 2009-11-27 | 2010-05-19 | 中国科学院软件研究所 | Method for evaluating implementation quality of software process |
| US20120317058A1 (en) * | 2011-06-13 | 2012-12-13 | Abhulimen Kingsley E | Design of computer based risk and safety management system of complex production and multifunctional process facilities-application to fpso's |
| CN102855386A (en) * | 2012-07-31 | 2013-01-02 | 北京市市政工程设计研究总院 | Footway and non-motorized vehicle lane evaluating method and device |
| CN103150684A (en) * | 2012-12-28 | 2013-06-12 | 中国电力科学研究院 | Evaluation index degradation impact analysis method based on analytic hierarchy process |
| CN104102840A (en) * | 2014-07-16 | 2014-10-15 | 国家电网公司 | Evaluation method for photovoltaic power receptivity of power distribution network |
| CN104243478A (en) * | 2014-09-19 | 2014-12-24 | 中国联合网络通信集团有限公司 | Safety protection capability assessment method and equipment of network equipment |
| CN105373904A (en) * | 2015-12-24 | 2016-03-02 | 江苏方天电力技术有限公司 | Application method of regulation data evaluating model in operation and maintenance of information system |
| CN106326473A (en) * | 2016-08-31 | 2017-01-11 | 国信优易数据有限公司 | Data mining method based on entropy weight algorithm and analytic hierarchy process and system thereof |
| CN106599601A (en) * | 2016-12-29 | 2017-04-26 | 中国科学院遥感与数字地球研究所 | Remote sensing assessment method and system for ecosystem vulnerability |
| CN107909253A (en) * | 2017-11-02 | 2018-04-13 | 国网天津市电力公司电力科学研究院 | Intelligent distribution network scheduling controlling effect evaluation method based on interval based AHP |
| CN108241932A (en) * | 2018-01-24 | 2018-07-03 | 国网山东省电力公司泰安供电公司 | A kind of method for building up of electricity provider evaluation model |
Non-Patent Citations (4)
| Title |
|---|
| YB DU 等: "Evaluation of machine tool remanufacturing scheme based on entropy weight and AHP", 《COMPUTER INTEGRATED MANUFACTURING SYSTEMS》 * |
| 李晨 等: "基于层次分析法和熵权法的配电网调度评价", 《电力***及其自动化学报》 * |
| 杨莎 等: "基于 BPMN 的变电站辅助监控应急预案模型研究", 《自动化与仪表》 * |
| 栾翔 等: "考虑一致性风险价值的电网薄弱环节综合评估指标", 《中国电力》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109976271A (en) * | 2019-03-05 | 2019-07-05 | 河海大学常州校区 | A kind of method calculating the message structure degree of order using information representation method |
| CN109976271B (en) * | 2019-03-05 | 2021-12-10 | 河海大学常州校区 | Method for calculating information structure order degree by using information representation method |
| CN112381429A (en) * | 2020-11-20 | 2021-02-19 | 联通(浙江)产业互联网有限公司 | Manufacturing enterprise multi-level KPI system reconstruction method, device and equipment |
| CN115829144A (en) * | 2022-12-16 | 2023-03-21 | 华北电力大学 | Method for establishing power grid service optimization model and electronic equipment |
| CN115829144B (en) * | 2022-12-16 | 2023-07-07 | 华北电力大学 | Method for establishing power grid business optimization model and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108921438B (en) | 2022-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106779309B (en) | Multi-angle and multi-layer identification method for key line | |
| CN108428045A (en) | A kind of distribution network operation health state evaluation method | |
| CN107832973B (en) | Equipment quality control method based on polymorphic information comprehensive evaluation | |
| CN108921438A (en) | A kind of power distribution network regulation and administration weak link identification method based on cascade weight | |
| CN104318482A (en) | Comprehensive assessment system and method of smart distribution network | |
| CN103761690A (en) | Evaluation method based on voltage reactive power control system in grid system | |
| CN109816269B (en) | Power distribution network project planning method based on comprehensive benefits of power distribution units | |
| CN110059913A (en) | A kind of quantitative estimation method counted and the power failure of future-state is planned | |
| CN105512783A (en) | Comprehensive evaluation method used for loop-opening scheme of electromagnetic looped network | |
| CN104779608B (en) | Safe stable on-line additional emergency control method of power system based on off-line strategy | |
| CN112668943A (en) | Distribution line health state assessment method and system | |
| CN107025524B (en) | Equipment overload auxiliary decision-making method considering load power supply reliability requirement | |
| CN107169655A (en) | A kind of method and device of preferred power distribution network project compatibility | |
| CN105048446A (en) | Method for comprehensive online prevention and control decision making taking constrains of multiple types of safety and stability into consideration | |
| CN110783913B (en) | Group-based optimal power grid topology online optimization method considering expected accident set | |
| CN107358338A (en) | A kind of multi-service and the D5000 system healths degree layering evaluation of priorities method of hardware fusion | |
| CN104036434A (en) | Evaluation method for load supply capacity of power distribution network | |
| CN109061453A (en) | Substation's disconnecting link secondary circuit failure prediction technique of meter and related coefficient | |
| CN109829603A (en) | A kind of multidimensional distribution network system operation risk grade assessment system and its method | |
| CN107292489A (en) | A kind of dispatching of power netwoks runs lean evaluation system | |
| CN104331849B (en) | Electrical power system risk ranking method and application | |
| CN106099907A (en) | Meter and transient state and the online emergent control decision method of static security scleronomic constraint | |
| CN107832971A (en) | A kind of power network index evaluating method based on SCADA and OMS | |
| CN105204489B (en) | Meter and protection control the online preventive control Application of risk decision method of cost with peace certainly | |
| CN109754152A (en) | Same period line loss end achievement evaluation method based on Extension AHP |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |