CN101984533A - Method for assessing power distribution reliability of large-scale medium-voltage distribution network based on modes - Google Patents

Method for assessing power distribution reliability of large-scale medium-voltage distribution network based on modes Download PDF

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CN101984533A
CN101984533A CN2010105124479A CN201010512447A CN101984533A CN 101984533 A CN101984533 A CN 101984533A CN 2010105124479 A CN2010105124479 A CN 2010105124479A CN 201010512447 A CN201010512447 A CN 201010512447A CN 101984533 A CN101984533 A CN 101984533A
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reliability
pattern
circuit
distribution network
network
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CN101984533B (en
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刘伟
苏剑
赵大溥
崔艳妍
周莉梅
钱朝阳
王之伟
王旭
陈楷
龙禹
杨林
张谦
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China Electric Power Research Institute Co Ltd CEPRI
Nanjing Power Supply Co of Jiangsu Electric Power Co
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China Electric Power Research Institute Co Ltd CEPRI
Nanjing Power Supply Co of Jiangsu Electric Power Co
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Abstract

The invention provides a method for assessing the power distribution reliability of a large-scale medium-voltage distribution network based on modes. For the large-scale medium-voltage distribution network, the detailed assessment and analysis of power distribution reliability has a large amount of work load and implement difficulty. In the method of the invention, similarities of lines in structural characteristic, electric characteristic, power distribution reliability and other aspects in the distribution networks of the same area are considered, thus the structural characteristic of one set of lines is selected as the basis of classification, and the lines with the similar structural characteristic belong to the same mode, wherein the reliability index of each mode is represented by typical lines therein, thereby greatly reducing the work load and analysis difficulty of reliability assessment. The classification method of the mode is mainly based on the relative factors of the distribution network structure, thus the mode is called as a network reliability characteristic mode. The method is applied to the assessment of the power distribution reliability of the large-scale medium-voltage distribution network.

Description

A kind of extensive medium voltage distribution network power supply reliability appraisal procedure based on pattern
Technical field
The invention belongs to the Electric Power Network Planning construction field, relate to a kind of extensive medium voltage distribution network power supply reliability appraisal procedure based on pattern.
Background technology
The qualitative assessment of power distribution network power supply reliability is on the basis of the existing running status of power distribution network, in order to plan, to design and building new system, perhaps extends, transforms and develop existing power distribution network power supply capacity and the Reliability Estimation of carrying out.By the reliability that reliability assessment comes more different distribution network planning and modification scheme, final definite scheme economically and reasonably.The qualitative assessment of power distribution network power supply reliability can improve and promote the production technology and the management of power industry, and the foundation of science is provided for distribution network planning and transformation.
Numerous in the power distribution network owing to equipment component, the complicated network structure, operational mode is varied, has brought very big difficulty for the power supply reliability evaluation work, is difficult to satisfy the engineering application request.The method of calculating the power system power supply reliability index at present mainly contains simulation and this two big class of analytic method.Wherein, simulation is subjected to the restriction of system scale flexibly and not, but consuming time many and precision is not high, this method is mainly used in and sends out, in the reliability assessment of transmission of electricity combined system and transformer station.Analytic method can be further divided into state-space method and network technique.Can handle various complicated situations preferably with the state-space method that Markov model is described, but when system scale is very big, when structure is very complicated, it is very numerous and diverse that this method will become; Network technique is the most popular method during distribution network reliability is analyzed, such as Failure Mode Effective Analysis method (FMEA), fault traversal method etc.Wherein, the Failure Mode Effective Analysis method is the most traditional power distribution network power supply reliability appraisal procedure, this method principle is simple, clear, model is accurate, but its amount of calculation increases with the increase exponentially of component number, in the face of the large-scale complex distribution network, this method also will face " the calculating calamity " that is difficult to overcome, and therefore need improve.The analytic method of improved distribution network reliability evaluation method has minimal path method, equivalent method, minimal cut set method etc.
Carry out the assessment of power distribution network power supply reliability, at first need to make up assessment models, wherein network model is the basis of assessment models.For middle and small scale power distribution network (as comprising tens to more than 100 distribution lines), carrying out detailed modeling assessment is feasible with analyzing, if but extensive power distribution network (as comprising thousands of distribution lines) is carried out complete detailed modeling, its workload will be very huge, circuit is many, equipment is many, wiring pattern complexity because medium voltage distribution network has on the one hand, characteristics such as changes of operating modes is many, because the medium voltage distribution network structural change is many, it is fast to upgrade, a definite computation model will not meet actual conditions very soon on the other hand.Therefore, extensive power distribution network is carried out detailed and accurate modeling wastes time and energy, and the reliability correlation analysis can not effectively be implemented in routine duties.The calculating of extensive medium-voltage distribution network and assessment models should have can set up fast, calculate fast, the good characteristics of adaptability, can adjust at any time according to the actual conditions of power distribution network.Existing method at the assessment of large-scale complex distribution Power System Reliability is improved on the basis of methods such as minimal path method and minimal cut set method method often, can not solve the big problem of modeling workload.Can not take into account the method for accuracy and engineering practicability at present in this field.
For this reason, the present invention proposes network reliability feature mode theory.When extensive power distribution network is carried out fail-safe analysis, can circuit be divided into some kinds of patterns according to the network configuration feature of circuit, be similar to and think that the circuit in each pattern has identical reliability.What need here to pay close attention to mainly is the network configuration feature that influences circuit reliability, as Route Length, type, load factor, load count, segmentation and contact situation etc.The theoretical foundation that the reliability characteristic pattern is simplified modeling is the similitude of distribution line structure and operation aspect.In fact, power distribution network is often all followed certain pattern when building and move.
With all circuits according to pattern classification after, can set up detailed computation model to representational circuit in each pattern, obtain accurate reliability index.Utilize the evaluation index of the circuit that uses accurate model calculating in each pattern can obtain the reliability index desired value of this pattern, and then can make assessment the reliability of whole network.
Summary of the invention
The invention provides a kind of method that is used for extensive medium voltage distribution network power supply reliability assessment based on pattern analysis.For extensive medium voltage distribution network the power distribution network of thousands of medium-voltage lines (as have), carry out detailed power supply reliability assessment and have sizable workload and implement difficulty with analysis.This method is considered in the areal power distribution network, general all can exist some at close circuits in aspect such as architectural characteristic, electrical characteristic, power supply reliabilities, by adopting certain pattern classification and analysis mode, can be with these circuits divide into several classes sets of lines.The circuit that belongs in the same sets of lines can think to have same reliability characteristic, and a such sets of lines just constitutes a kind of " pattern ", and then can analyze from the angle of " pattern ", reduces the workload of reliability assessment greatly and analyzes difficulty.Because this pattern classification mode mainly based on the distribution net work structure correlative factor, therefore is called " network reliability feature mode ".Be applicable to extensive medium voltage distribution network power supply reliability assessment.
A kind of extensive medium voltage distribution network power supply reliability appraisal procedure based on pattern of the present invention may further comprise the steps:
(1) the simplification modeling of large-scale complex power distribution network
Network configuration to extensive medium voltage distribution network is simplified substantially, so that the accurate Modeling Calculation of follow-up line mode analysis and Typical Route, the means of described simplification comprise: load point merges, and a plurality of loads in the same segmentation are integrated into a plurality of users on the load point; Line segment is simplified, and all line segments that no switch is separated are merged into a line segment, under the prerequisite that does not influence annexation, ignores some short line segments; Branch line merges, the branch line of close together merged, and the distribution network structural model after obtaining simplifying, the information that the network structure model after the simplification comprises has that Route Length, load are counted, segments and connectivity number;
(2) select the reliability correlated characteristic of circuit to gather
The feature of distribution line is meant a certain important attribute of circuit, its whole features can be considered a characteristic set, the feature of described distribution line comprises circuit character, circuit types, line length, line load rate, load point quantity, line sectionalizing number and circuit connectivity number, wherein some kinds of features are comparatively remarkable to the reliability effect of circuit, and the formed set of these features is called the set of reliability correlated characteristic;
(3) the network reliability feature mode is divided
With the main foundation of described reliability correlated characteristic set as the line mode division, if each feature is divided into according to span in the interval, the span of all features is by being combined to form some kinds of patterns, every circuit all belongs to some patterns, and the circuit in every kind of pattern all has similar architectural feature;
(4) every kind of pattern is chosen representative region or circuit carries out detailed modeling and accurate assessment
From each pattern, choose some representative circuits and carry out accurate reliability assessment, accurate assessment can adopt classical reliability estimation method, comprise Failure Mode Effective Analysis method and minimal cut set method etc., accurate assessment result's mean value or can be used as the power supply reliability assessment result of this pattern in pattern according to the weighted average of number of users or payload, the circuit in this pattern can think to have identical power supply reliability;
Or select several representative region medium voltage distribution networks that comprise many circuits to carry out detailed modeling of reliability and accurate assessment, medium voltage distribution network to every circuit carries out detailed modeling and accurate assessment respectively, because the circuit in the described representative region often can be contained most feature modes, its result can directly be used as the assessment result of pattern, to not by the pattern that representative region contained, can select Typical Route to assess again separately;
(5) using Typical Route accurate assessment result assesses the extensive power distribution network power supply reliability of universe
After obtaining Typical Route power supply reliability assessment result, recombination region territory network reliability feature mode is divided the result, with each pattern Typical Route accurate assessment result's mean value power supply reliability assessment result, and then can finally obtain the extensive power distribution network power supply reliability of universe assessment result as this pattern.
Wherein, network reliability feature mode division methods is as follows:
Consider that each characteristic parameter is different to the degree of reliability effect, sort to the foundation influence degree is descending, expression and identification for the ease of pattern, two character representations are used in the interval of each characteristic parameter, and pattern uses a synthetic character string of all characteristic parameters as sign;
Wherein, for the comparatively special circuit of some network configurations, can individual processing.
Wherein, during the special circuit partition mode not connectivity number as a characteristic parameter.
The advantage of technical solution of the present invention is:
(1) reduce the modeling workload of extensive medium voltage distribution network power supply reliability assessment significantly, significantly reduce amount of calculation, this method can be applicable in the middle of the power supply reliability assessment, analysis and optimization of China's extensive medium voltage distribution network in all kinds of areas.
(2) the line construction feature by phase-split network reliability characteristic pattern can be that the circuit under each pattern is set a network configuration and optimized direction, as one of important evidence of distribution network reliability planning.
(3) accurate assessment with representative region or circuit combines, be convenient to extensive medium voltage distribution network power supply reliability is analysed in depth, seek the reliability weak link, from network, equipment, technology, even management aspect proposes instruction targetedly, to improve power supply reliability.
Description of drawings
The present invention is further described below in conjunction with accompanying drawing.
Fig. 1 shows the reliability estimation method flow chart based on pattern.
Fig. 2 shows the reliability characteristic pattern of circuit.
Fig. 3 shows the principle schematic of this method.
The feature mode that Fig. 4 shows the circuit of concentrating relatively distributes.
Embodiment
This method is primarily aimed at the power supply reliability assessment of extensive medium voltage distribution network, and specific embodiments is as follows.
(1) simplifies modeling
At first to simplify substantially the network configuration of circuit, so that follow-up line mode analysis, and the accurate modeling of Typical Route.The simplification means are as follows:
● load point merges: a plurality of loads in the same segmentation are integrated into a plurality of users on the load point.
● line segment is simplified: all line segments that will not have the switch separation are merged into a line segment; Under the prerequisite that does not influence annexation, ignore some short line segments.
● branch line merges: the branch line of close together is merged.
Simplify through above means, can effectively reduce the line segment number and the load of each bar circuit and count, the distribution network structural model after obtaining simplifying.The information that network structure model after the simplification mainly comprises is that Route Length, type (cable or built on stilts), load are counted, segments, connectivity number etc.
(2) select the reliability correlated characteristic of circuit to gather
The feature of distribution line refers to a certain important attribute of circuit, and its whole features can be considered a characteristic set.These features comprise circuit character (public, special use), circuit types (cable or built on stilts), line length, line load rate, load point quantity, line sectionalizing number, circuit connectivity number etc.Wherein some kinds of features are comparatively remarkable to the reliability effect of circuit, and the formed set of these features is called the set of reliability correlated characteristic.
(3) the network reliability feature mode is divided
It is foundation that the network reliability feature mode is divided with the set of reliability correlated characteristic, comprises the 6 kind principal elements relevant with network, is respectively:
● circuit types: i.e. overhead transmission line, cable line;
● line length: i.e. total line length;
● line load rate: i.e. circuit maximum load rate;
● load is counted: promptly pressing number of users in the circuit, generally is the quantity of distribution transformer;
● segments: line sectionalizing quantity;
● connectivity number: circuit contact quantity;
With the principal character parameter of above factor,, can determine the concrete division methods of each pattern simultaneously in conjunction with regionalism as mode division.With certain regional medium voltage distribution network is example, can form division methods as shown in table 1:
Table 1 network reliability feature mode is divided
Figure BSA00000310788300051
During partition mode, should it be sorted according to the size of characteristic parameter to reliability effect.For the ease of the expression and the identification of pattern, each characteristic parameter uses two character representations, and pattern uses a synthetic character string of all characteristic parameters as sign.For example, when the public overhead transmission line length of certain bar is 2km, load factor is 45%, and number of users is 18, and segments and connectivity number are respectively 4,2, just can think that this circuit belongs to a certain reliability characteristic pattern such as JKL1F1U1S2T2.The rest may be inferred for other patterns, and it belongs to permutation and combination problem in essence.As shown in Figure 2, provided a kind of mode division method among the figure, every paths is from left to right just represented a pattern.
Through above-mentioned division as can be known, if circuit types, line length, line load rate, load are counted, segments, connectivity number are divided into h, j respectively, k, l, m, n are interval, then have h * j * k * l * m * n kind network reliability feature mode in theory.According to the fine degree that each characteristic parameter interval is divided, this quantity may be bigger, needing to cause the circuit number of accurate Calculation also more.But be actually construction, the Operations, Administration and Maintenance of being convenient to electrical network, the power distribution network in an area often makes up based on certain construction principle, avoid the complicated of electrical network attribute as far as possible, so, when utilizing aforesaid way to carry out the mode division of real network, circuit in zone can't cover all theoretical patterns, and realistic model quantity can be far below theoretical quantity, and most of path convergence collection are arranged in few typical module.
The determining to follow of each characteristic quantity span can guarantee certain differentiation resolution, and it is too much can not divide the too meticulous pattern quantity that causes again, the forfeiture operability.
In actual applications, consider that the special circuit in the power distribution network has the advantages that line length is short, number of users is few, connectivity number is few, public line and special circuit can be selected different reliability correlated characteristic set, can be not during the special circuit partition mode connectivity number as a characteristic parameter.
(4) every kind of pattern is chosen representative region or circuit carries out detailed modeling and accurate assessment
From each pattern, choose some representative circuits and carry out accurate reliability assessment.Accurate assessment can adopt classical reliability estimation method, as fault pattern Effect Analysis Method, minimal cut set method etc.Accurate assessment result's mean value (can be the weighted average according to number of users or payload) can be used as the power supply reliability assessment result of this pattern in pattern, and the circuit in this pattern can think to have identical power supply reliability.
In engineering reality, also can select several representative region medium voltage distribution networks that comprise many circuits to carry out detailed modeling of reliability and accurate assessment, for example, from the midtown in a city, urban district, area, cities and towns, rural area, respectively select a representative region, respectively its medium voltage distribution network is carried out detailed modeling and accurate assessment.Because the circuit in these representative regions often can be contained most feature modes, its result can directly be used as the assessment result of pattern.To not by the pattern that representative region contained, can select Typical Route to assess again separately.
(5) using Typical Route accurate assessment result assesses the extensive power distribution network power supply reliability of universe
After obtaining Typical Route power supply reliability assessment result, but recombination region territory network reliability feature mode is divided the result, with each pattern Typical Route accurate assessment result's mean value power supply reliability assessment result, and then can finally obtain the extensive power distribution network power supply reliability of universe assessment result as this pattern.
The basic application flow of method of the present invention as shown in Figure 1.The relation of we's ratio juris and Typical Route/representative region reliability accurate assessment and region-wide reliability assessment as shown in Figure 3.
This power supply reliability prediction and evaluation method based on pattern is very flexible when practical application, can adjust as required.In general, the feature mode of circuit distributes and to have the characteristics of concentrating relatively (as accompanying drawing 4), and a large amount of circuits all concentrate in the some kinds of patterns with typicalness.In Practical Calculation,, can carry out meticulousr division to these patterns for the accuracy of assessment result.

Claims (4)

1. extensive medium voltage distribution network power supply reliability appraisal procedure based on pattern is characterized in that may further comprise the steps:
(1) the simplification modeling of large-scale complex power distribution network
Network configuration to extensive medium voltage distribution network is simplified substantially, so that the accurate Modeling Calculation of follow-up line mode analysis and Typical Route, the means of described simplification comprise: load point merges, and a plurality of loads in the same segmentation are integrated into a plurality of users on the load point; Line segment is simplified, and all line segments that no switch is separated are merged into a line segment, under the prerequisite that does not influence annexation, ignores some short line segments; Branch line merges, the branch line of close together merged, and the distribution network structural model after obtaining simplifying, the information that the network structure model after the simplification comprises has that Route Length, load are counted, segments and connectivity number;
(2) select the reliability correlated characteristic of circuit to gather
The feature of distribution line is meant a certain important attribute of circuit, its whole features can be considered a characteristic set, the feature of described distribution line comprises circuit character, circuit types, line length, line load rate, load point quantity, line sectionalizing number and circuit connectivity number, wherein some kinds of features are comparatively remarkable to the reliability effect of circuit, and the formed set of these features is called the set of reliability correlated characteristic;
(3) the network reliability feature mode is divided
With the main foundation of described reliability correlated characteristic set as the line mode division, each feature is divided into some intervals according to span, the span of all features is by being combined to form some kinds of patterns, every circuit all belongs to some patterns, and the circuit in every kind of pattern all has similar architectural feature;
(4) every kind of pattern is chosen representative region or circuit carries out detailed modeling and accurate assessment
From each pattern, choose some representative circuits and carry out accurate reliability assessment, accurate assessment can adopt classical reliability estimation method, comprise Failure Mode Effective Analysis method and minimal cut set method, accurate assessment result's mean value or can be used as the power supply reliability assessment result of this pattern in pattern according to the weighted average of number of users or payload, the circuit in this pattern can think to have identical power supply reliability;
Or select several representative region medium voltage distribution networks that comprise many circuits to carry out detailed modeling of reliability and accurate assessment, medium voltage distribution network to every circuit carries out detailed modeling and accurate assessment respectively, because the circuit in the described representative region often can be contained most feature modes, its result can directly be used as the assessment result of pattern, to not by the pattern that representative region contained, can select Typical Route to assess again separately;
(5) using Typical Route accurate assessment result assesses the extensive power distribution network power supply reliability of universe
After obtaining Typical Route power supply reliability assessment result, recombination region territory network reliability feature mode is divided the result, with each pattern Typical Route accurate assessment result's mean value power supply reliability assessment result, and then can finally obtain the extensive power distribution network power supply reliability of universe assessment result as this pattern.
2. appraisal procedure as claimed in claim 1 is characterized in that network reliability feature mode division methods is as follows:
Consider that each characteristic parameter is different to the degree of reliability effect, sort to the foundation influence degree is descending, expression and identification for the ease of pattern, two character representations are used in the interval of each characteristic parameter, and pattern uses a synthetic character string of all characteristic parameters as sign;
3. appraisal procedure as claimed in claim 2 is characterized in that for the comparatively special circuit of some network configurations, can individual processing.
4. appraisal procedure as claimed in claim 3, when it is characterized in that the special circuit partition mode not connectivity number as a characteristic parameter.
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Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102222170A (en) * 2011-06-21 2011-10-19 重庆大学 Markov state space diagram method for evaluating reliability of converter transformer system
CN102279905A (en) * 2011-03-19 2011-12-14 东北电力大学 Method for rapidly reducing data streams during power grid fault diagnosis
CN102437573A (en) * 2011-12-29 2012-05-02 广东电网公司深圳供电局 Evaluation and control method and system for reliability of electric distribution network based on fuzzy modeling
CN102570451A (en) * 2011-12-31 2012-07-11 中国电力科学研究院 Static reliability assessment method for power transmission network
CN102663240A (en) * 2012-03-23 2012-09-12 广东省电力调度中心 Analysis system and evaluation method for power telecommunication business risks
CN103280810A (en) * 2013-04-15 2013-09-04 江苏省电力公司南京供电公司 Optimized dispatching method for improving load rate of power distribution network
CN103500288A (en) * 2013-10-16 2014-01-08 云南电力试验研究院(集团)有限公司电力研究院 Medium voltage distribution network reliability evaluation method based on regional level lead flow channel
CN103530816A (en) * 2013-10-10 2014-01-22 国家电网公司 Power supply reliability-oriented secondary optimization evaluation model for reliability of power distribution network
CN103593707A (en) * 2013-11-27 2014-02-19 国家电网公司 Method and device for evaluating reliability of power distribution network
CN104009467A (en) * 2014-05-13 2014-08-27 南京邮电大学 Meter and power distribution network reliability assessment and prediction method for pre-arranging power outage influence
CN104392117A (en) * 2014-11-06 2015-03-04 国家电网公司 Method for analyzing influence of distribution terminal on reliability of distribution system
CN105529703A (en) * 2016-02-14 2016-04-27 华南理工大学 Urban power net reconstruction planning method based on power supply capability bottleneck analysis
CN105976117A (en) * 2016-05-10 2016-09-28 国家电网公司 Reliability evaluation method for power distribution network and expanded reliability evaluation method for different scales of power distribution networks
CN103810533B (en) * 2013-08-15 2016-12-28 国家电网公司 A kind of distribution network failure Risk Identification Method based on cloud model
CN106602547A (en) * 2016-11-04 2017-04-26 国家电网公司 Outgoing line configuration method and system of power distribution network
CN107546737A (en) * 2016-06-28 2018-01-05 中国电力科学研究院 A kind of analysis method of the distribution network reliability influence factor based on cluster analysis
CN107748965A (en) * 2017-11-07 2018-03-02 国网山东省电力公司聊城供电公司 Distribution network failure training evaluation method based on information similarity
CN107994572A (en) * 2017-12-07 2018-05-04 天津大学 A kind of distribution network reliability measure for improvement applicability quantitative analysis method
CN108521124A (en) * 2018-04-26 2018-09-11 福建积微科技有限公司 A kind of visual distribution network failure section partition method
CN109377116A (en) * 2018-12-21 2019-02-22 云南电网有限责任公司电力科学研究院 Power supply reliability calculation method based on the analysis of middle voltage distribution networks O&M feature mining
CN109657987A (en) * 2018-12-21 2019-04-19 云南电网有限责任公司电力科学研究院 Power supply reliability calculation method based on middle voltage distribution networks engineering characteristics mining analysis
CN110266001A (en) * 2019-06-20 2019-09-20 国家电网有限公司 A kind of system adequacy evaluation method, system and terminal power supply unit

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101685958A (en) * 2008-09-27 2010-03-31 华为技术有限公司 Cross sealing assembly and communication device utilizing same

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101685958A (en) * 2008-09-27 2010-03-31 华为技术有限公司 Cross sealing assembly and communication device utilizing same

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
李可 等: "基于网络等值的复杂中压配电网修正的可靠性评估模型", 《电力学报》, vol. 25, no. 2, 30 April 2010 (2010-04-30), pages 103 - 106 *
林济铿 等: "基于网络化简的计及开关故障配电网可靠性评估", 《电力***自动化》, vol. 33, no. 9, 10 May 2009 (2009-05-10), pages 32 - 36 *
王仲达 等: "复杂中压配电网的可靠性研究", 《江苏电机工程》, vol. 26, no. 3, 31 May 2007 (2007-05-31), pages 8 - 11 *

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CN103530816A (en) * 2013-10-10 2014-01-22 国家电网公司 Power supply reliability-oriented secondary optimization evaluation model for reliability of power distribution network
CN103500288A (en) * 2013-10-16 2014-01-08 云南电力试验研究院(集团)有限公司电力研究院 Medium voltage distribution network reliability evaluation method based on regional level lead flow channel
CN103500288B (en) * 2013-10-16 2016-06-29 云南电力试验研究院(集团)有限公司电力研究院 A kind of reliability assessment method for medium voltage distribution network based on level regions tidal inlet
CN103593707A (en) * 2013-11-27 2014-02-19 国家电网公司 Method and device for evaluating reliability of power distribution network
CN104009467A (en) * 2014-05-13 2014-08-27 南京邮电大学 Meter and power distribution network reliability assessment and prediction method for pre-arranging power outage influence
CN104009467B (en) * 2014-05-13 2016-07-06 南京邮电大学 A kind of evaluating reliability of distribution network taking into account pre-arranged power failure impact and Forecasting Methodology
CN104392117A (en) * 2014-11-06 2015-03-04 国家电网公司 Method for analyzing influence of distribution terminal on reliability of distribution system
CN105529703A (en) * 2016-02-14 2016-04-27 华南理工大学 Urban power net reconstruction planning method based on power supply capability bottleneck analysis
CN105976117B (en) * 2016-05-10 2019-10-22 国家电网公司 A kind of distribution network reliability evaluation method and extension are used for different scales distribution network reliability evaluation method
CN105976117A (en) * 2016-05-10 2016-09-28 国家电网公司 Reliability evaluation method for power distribution network and expanded reliability evaluation method for different scales of power distribution networks
CN107546737A (en) * 2016-06-28 2018-01-05 中国电力科学研究院 A kind of analysis method of the distribution network reliability influence factor based on cluster analysis
CN107546737B (en) * 2016-06-28 2022-06-21 中国电力科学研究院 Method for analyzing power distribution network reliability influence factors based on cluster analysis
CN106602547A (en) * 2016-11-04 2017-04-26 国家电网公司 Outgoing line configuration method and system of power distribution network
CN107748965A (en) * 2017-11-07 2018-03-02 国网山东省电力公司聊城供电公司 Distribution network failure training evaluation method based on information similarity
CN107748965B (en) * 2017-11-07 2021-06-01 国网山东省电力公司聊城供电公司 Power distribution network fault training evaluation method based on information similarity
CN107994572B (en) * 2017-12-07 2021-04-27 天津大学 Power distribution network reliability improvement measure applicability quantitative analysis method
CN107994572A (en) * 2017-12-07 2018-05-04 天津大学 A kind of distribution network reliability measure for improvement applicability quantitative analysis method
CN108521124A (en) * 2018-04-26 2018-09-11 福建积微科技有限公司 A kind of visual distribution network failure section partition method
CN109377116A (en) * 2018-12-21 2019-02-22 云南电网有限责任公司电力科学研究院 Power supply reliability calculation method based on the analysis of middle voltage distribution networks O&M feature mining
CN109657987A (en) * 2018-12-21 2019-04-19 云南电网有限责任公司电力科学研究院 Power supply reliability calculation method based on middle voltage distribution networks engineering characteristics mining analysis
CN110266001A (en) * 2019-06-20 2019-09-20 国家电网有限公司 A kind of system adequacy evaluation method, system and terminal power supply unit
CN110266001B (en) * 2019-06-20 2020-10-27 国家电网有限公司 Power grid reliability assessment method and system and terminal power supply equipment

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