CN110350520A - A kind of feeder line group different degree computing system and method - Google Patents
A kind of feeder line group different degree computing system and method Download PDFInfo
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- CN110350520A CN110350520A CN201910599420.9A CN201910599420A CN110350520A CN 110350520 A CN110350520 A CN 110350520A CN 201910599420 A CN201910599420 A CN 201910599420A CN 110350520 A CN110350520 A CN 110350520A
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- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000004364 calculation method Methods 0.000 claims description 28
- 230000035699 permeability Effects 0.000 claims description 9
- 230000001131 transforming effect Effects 0.000 claims description 5
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The present invention discloses a kind of feeder line group different degree computing system and method, system includes including data module, selecting module and data processing module, the data module includes network system relevant to feeder line group, the data module obtains basic data, then using the selecting module for choosing feeder line group to be analyzed, the last data processing module calculates feeder line group different degree.The present invention obtains feeder line data from each electric system using computer system, weighted value is distributed according to size is influenced to the influence factor for influencing feeder line different degree, the corresponding influence grade of each influence factor is calculated automatically further according to feeder line data, feeder line different degree is calculated according to default rule, fast automatic analysis obtains, timeliness is strong, and accuracy is high.
Description
Technical field
The present invention relates to field of power distribution, more particularly, to a kind of feeder line group different degree computing system and method.
Background technique
Feeder line group different degree is the different degree for analyzing feeder line group in the case where meeting qualifications, and the value of different degree is higher, characterization
Feeder line group is more important, i.e., towards user to current power supply reliability require it is higher.Modern society is reliable to the power supply of power grid
Property require it is higher and higher, in time find power grid existing for weak link, take corresponding Pre-control measures, be related to power grid can
The highly important work of safe and stable operation.Wherein traditional feeder line group different degree rely on manual analysis, low efficiency, accurately
Degree is insufficient.Currently, the method realization computer automatically scanning analysis that network system operation field is not similar.
Summary of the invention
Primary and foremost purpose of the invention is to provide a kind of feeder line group different degree computing system, and fast automatic analysis obtains feeder line group
Different degree, timeliness is strong, and accuracy is high.
The further object of the present invention is a kind of feeder line group importance calculation method.
In order to solve the above technical problems, technical scheme is as follows:
A kind of feeder line group different degree computing system, including data module, selecting module and data processing module, the data
Module includes network system relevant to feeder line group, and the data module obtains basic data, then utilizes the selecting module
For choosing feeder line group to be analyzed, the last data processing module completes following steps:
Inquiry influences the weighted value of each influence factor of feeder line group different degree, to each influence factor, according to basic number
According to, according to default rule calculate its feeder line group different degree calculating in influence grade;According to the weight of each influence factor
Value and its influence rating calculation feeder line group different degree in the calculating of feeder line group different degree.
A kind of feeder line group importance calculation method realized according to the computing system of above-mentioned feeder line group different degree, including with
Lower step:
S1: obtaining the basic data for calculating feeder line group different degree, and the basic data is from electricity relevant to feeder line group
It is obtained in net system;
S2: it chooses feeder line group to be analyzed and inquires the weighted value for influencing each influence factor of feeder line group different degree;
S3: is calculated by it according to default rule and is calculated in feeder line group different degree according to basic data for each influence factor
In influence grade;
S4: according to the weighted value of each influence factor and its influence rating calculation feeder line in the calculating of feeder line group different degree
Group different degree.
Preferably, the basic data includes feeder line segment table, feeder line table, distribution transforming table, distributed generation resource table, remote measure and communication
Table, responsible consumer information table, social influence coefficient table, coefficient of region table and tender spots table.
Preferably, the network system relevant to feeder line group includes distribution generalized information system, distribution DMS system, marketing system
System, power distribution network operational management skill support platform and local system, wherein obtain feeder line segment table, feeder line from distribution generalized information system
Table and distribution transforming table, obtain digital & analog signal table from distribution DMS system, responsible consumer Basic Information Table are obtained from marketing system, from matching
Regulation technical support platform obtains distributed generation resource table, and the social influence coefficient table of feeder line is obtained from local system,
Coefficient of region table and tender spots table.
Preferably, social influence coefficient table and the region system of feeder line group are obtained from local system by way of manual intervention
Number table.
Preferably, the influence factor includes the responsible consumer number of feeder line group, the total amount of tender spots load loss, social shadow
It rings coefficient, coefficient of region and distributed generation resource permeability, weighted value and is followed successively by A1、A2、A3、A4、A5。
Preferably, the calculation method that grade is influenced in step S3 is specific as follows:
Feeder line group table and the responsible consumer information table of marketing system are associated with by the corresponding Customs Assigned Number of feeder line group, inquiry
It obtains the corresponding responsible consumer number of feeder line group, the responsible consumer number of feeder line group is calculated according to " responsible consumer number " dimension of table 1
Corresponding influence grade B1;
The equipment in feeder line group for tender spots is inquired, the load of tender spots loss is calculated separately, is finally added and obtains feeder line
The total amount of group tender spots load loss determines tender spots load loss according to " total amount of the tender spots load loss " dimension of table 1
The corresponding influence grade B of total amount2;
It is tieed up from the social influence coefficient of social influence coefficient table inquiry feeder line group, and according to " the social influence coefficient " of table 1
Degree carries out analytical calculation, obtains the corresponding influence grade B of social influence coefficient3;
Inquiry obtains the geographical location information of feeder line group, then associated region coefficient table, obtains the coefficient of region of feeder line group, root
Analytical calculation is carried out according to 1 " coefficient of region " dimension of table, obtains the corresponding influence grade B of coefficient of region4;
The permeability of distributed generation resource is calculated, and carries out analytical calculation according to " distributed generation resource permeability " dimension of table 1,
Obtain the corresponding influence grade B of distributed generation resource permeability5;
Table 1
It further include the weighted value size of each influence factor in table 1.
Preferably, step S4 calculates feeder line group different degree, is calculated by following formula:
In above formula, I is the different degree of feeder line group.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
Feeder line group data are obtained from each electric system using computer system, to the influence factor for influencing feeder line group different degree
Weighted value is distributed according to size is influenced, calculates the corresponding influence grade of each influence factor automatically further according to feeder line group data, according to
Default rule calculates feeder line group different degree, and fast automatic analysis show that timeliness is strong, and accuracy is high.
Detailed description of the invention
Fig. 1 is a kind of feeder line group different degree computing system schematic diagram.
Fig. 2 is a kind of feeder line group importance calculation method flow chart.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent;
In order to better illustrate this embodiment, the certain components of attached drawing have omission, zoom in or out, and do not represent actual product
Size;
To those skilled in the art, it is to be understood that certain known features and its explanation, which may be omitted, in attached drawing
's.
The following further describes the technical solution of the present invention with reference to the accompanying drawings and examples.
Embodiment 1
The present embodiment provides a kind of feeder line group different degree computing system, such as Fig. 1, including data module, selecting module sum number
According to processing module, the data module includes network system relevant to feeder line group, and the data module obtains basic data, so
Afterwards using the selecting module for choosing feeder line group to be analyzed, the last data processing module completes following steps:
Inquiry influences the weighted value of each influence factor of feeder line group different degree, to each influence factor, according to basic number
According to, according to default rule calculate its feeder line group different degree calculating in influence grade;According to the weight of each influence factor
Value and its influence rating calculation feeder line group different degree in the calculating of feeder line group different degree.
Embodiment 2
The present embodiment provides a kind of feeder line group importance calculation method, such as Fig. 2, comprising the following steps:
S1: obtaining the basic data for calculating feeder line group different degree, and the basic data is from electricity relevant to feeder line group
It is obtained in net system;
S2: it chooses feeder line group to be analyzed and inquires the weighted value for influencing each influence factor of feeder line group different degree;
S3: is calculated by it according to default rule and is calculated in feeder line group different degree according to basic data for each influence factor
In influence grade;
S4: according to the weighted value of each influence factor and its influence rating calculation feeder line in the calculating of feeder line group different degree
Group different degree.
The basic data includes feeder line segment table, feeder line table, distribution transforming table, distributed generation resource table, remote measure and communication table, important use
Family information table, social influence coefficient table, coefficient of region table and tender spots table.
The network system relevant to feeder line group includes distribution generalized information system, distribution DMS system, marketing system, distribution
Net operational management skill supports platform and local system, wherein obtains feeder line segment table, feeder line table from distribution generalized information system and matches
Become table, obtain digital & analog signal table from distribution DMS system, obtains responsible consumer Basic Information Table from marketing system, transported from power distribution network
Row administrative skill supports platform to obtain distributed generation resource table, and the social influence coefficient table of feeder line, region system are obtained from local system
Number table and tender spots table.
The social influence coefficient table and coefficient of region table of feeder line group are obtained from local system by way of manual intervention.
The influence factor include the responsible consumer number of feeder line group, the total amount of tender spots load loss, social influence coefficient,
Coefficient of region and distributed generation resource permeability, weighted value are followed successively by A1、A2、A3、A4、A5。
The calculation method that grade is influenced in step S3 is specific as follows:
Feeder line group table and the responsible consumer information table of marketing system are associated with by the corresponding Customs Assigned Number of feeder line group, inquiry
It obtains the corresponding responsible consumer number of feeder line group, the responsible consumer number of feeder line group is calculated according to " responsible consumer number " dimension of table 1
Corresponding influence grade B1;
The equipment in feeder line group for tender spots is inquired, the load of tender spots loss is calculated separately, is finally added and obtains feeder line
The total amount of group tender spots load loss determines tender spots load loss according to " total amount of the tender spots load loss " dimension of table 1
The corresponding influence grade B of total amount2;
It is tieed up from the social influence coefficient of social influence coefficient table inquiry feeder line group, and according to " the social influence coefficient " of table 1
Degree carries out analytical calculation, obtains the corresponding influence grade B of social influence coefficient3;
Inquiry obtains the geographical location information of feeder line group, then associated region coefficient table, obtains the coefficient of region of feeder line group, root
Analytical calculation is carried out according to 1 " coefficient of region " dimension of table, obtains the corresponding influence grade B of coefficient of region4;
The permeability of distributed generation resource is calculated, and carries out analytical calculation according to " distributed generation resource permeability " dimension of table 1,
Obtain the corresponding influence grade B of distributed generation resource permeability5;
Table 1
It further include the weighted value size of each influence factor in table 1.
Step S4 calculates feeder line group different degree, is calculated by following formula:
In above formula, I is the different degree of feeder line group.
The same or similar label correspond to the same or similar components;
The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent;
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (8)
1. a kind of feeder line group different degree computing system, which is characterized in that including data module, selecting module and data processing mould
Block, the data module include network system relevant to feeder line group, and the data module obtains basic data, then utilize institute
Selecting module is stated for choosing feeder line group to be analyzed, the last data processing module completes following steps:
Inquiry influences the weighted value of each influence factor of feeder line group different degree, is pressed to each influence factor according to basic data
Its influence grade in the calculating of feeder line group different degree is calculated according to default rule;According to the weighted value of each influence factor and its
Influence rating calculation feeder line group different degree in the calculating of feeder line group different degree.
2. a kind of feeder line group importance calculation method that feeder line group different degree computing system according to claim 1 is realized, special
Sign is, comprising the following steps:
S1: obtaining the basic data for calculating feeder line group different degree, and the basic data is from power grid relevant to feeder line group system
It is obtained in system;
S2: it chooses feeder line group to be analyzed and inquires the weighted value for influencing each influence factor of feeder line group different degree;
S3: to each influence factor, according to basic data, it is calculated in the calculating of feeder line group different degree according to default rule
Influence grade;
S4: according to the weighted value of each influence factor and its influence rating calculation feeder line group weight in the calculating of feeder line group different degree
It spends.
3. a kind of feeder line group importance calculation method according to claim 2, which is characterized in that the basic data includes
Feeder line segment table, feeder line table, distribution transforming table, distributed generation resource table, remote measure and communication table, responsible consumer information table, social influence coefficient table,
Coefficient of region table and tender spots table.
4. a kind of feeder line group importance calculation method according to claim 3, which is characterized in that described with feeder line group phase
The network system of pass include distribution generalized information system, distribution DMS system, marketing system, power distribution network operational management skill support platform with
And local system, wherein obtain feeder line segment table, feeder line table and distribution transforming table from distribution generalized information system, obtained from distribution DMS system distant
Believe telemeter, obtain responsible consumer Basic Information Table from marketing system, supports platform obtains to divide from power distribution network operational management skill
Cloth power meter obtains the social influence coefficient table of feeder line, coefficient of region table and tender spots table from local system.
5. feeder line group importance calculation method according to claim 4, which is characterized in that by way of manual intervention from
The social influence coefficient table and coefficient of region table of local system acquisition feeder line group.
6. feeder line group importance calculation method according to any one of claims 2 to 5, which is characterized in that the influence because
Element includes the responsible consumer number of feeder line group, the total amount of tender spots load loss, social influence coefficient, coefficient of region and distributed electrical
Source permeability, weighted value are followed successively by A1、A2、A3、A4、A5。
7. feeder line importance calculation method according to claim 6, which is characterized in that influence the calculating of grade in step S3
Method is specific as follows:
Feeder line group table and the responsible consumer information table of marketing system are associated with by the corresponding Customs Assigned Number of feeder line group, inquiry obtains
The corresponding responsible consumer number of feeder line group, the responsible consumer number for calculating feeder line group according to " responsible consumer number " dimension of table 1 are corresponding
Influence grade B1;
The equipment in feeder line group for tender spots is inquired, the load of tender spots loss is calculated separately, is finally added and show that feeder line group is crisp
The total amount of weakness load loss determines the total of tender spots load loss according to " total amount of the tender spots load loss " dimension of table 1
Measure corresponding influence grade B2;
From social influence coefficient table inquiry feeder line group social influence coefficient, and according to " social influence coefficient " dimension of table 1 into
Row analytical calculation obtains the corresponding influence grade B of social influence coefficient3;
Inquiry obtains the geographical location information of feeder line group, then associated region coefficient table, the coefficient of region of feeder line group is obtained, according to table
1 " coefficient of region " dimension carry out analytical calculation, obtain the corresponding influence grade B of coefficient of region4;
The permeability of distributed generation resource is calculated, and carries out analytical calculation according to " distributed generation resource permeability " dimension of table 1, is obtained
The corresponding influence grade B of distributed generation resource permeability5;
Table 1
It further include the weighted value size of each influence factor in table 1.
8. feeder line group importance calculation method according to claim 7, which is characterized in that it is important that step S4 calculates feeder line group
Degree, is calculated by following formula:
In above formula, I is the different degree of feeder line group.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102956021A (en) * | 2012-11-30 | 2013-03-06 | 国电南瑞科技股份有限公司 | Power grid comprehensive visualization method based on multi-service system information fusion |
CN103985068A (en) * | 2014-05-30 | 2014-08-13 | 湖南智仁科技有限公司 | Online risk evaluation method for power distribution network |
CN105356463A (en) * | 2015-12-08 | 2016-02-24 | 国网重庆市电力公司电力科学研究院 | Reliability index measuring and calculating model generation method and apparatus and measuring and calculating method and apparatus |
CN107394785A (en) * | 2017-07-03 | 2017-11-24 | 中国南方电网有限责任公司电网技术研究中心 | The method and device of power distribution network vulnerability assessment |
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- 2019-07-04 CN CN201910599420.9A patent/CN110350520A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102956021A (en) * | 2012-11-30 | 2013-03-06 | 国电南瑞科技股份有限公司 | Power grid comprehensive visualization method based on multi-service system information fusion |
CN103985068A (en) * | 2014-05-30 | 2014-08-13 | 湖南智仁科技有限公司 | Online risk evaluation method for power distribution network |
CN105356463A (en) * | 2015-12-08 | 2016-02-24 | 国网重庆市电力公司电力科学研究院 | Reliability index measuring and calculating model generation method and apparatus and measuring and calculating method and apparatus |
CN107394785A (en) * | 2017-07-03 | 2017-11-24 | 中国南方电网有限责任公司电网技术研究中心 | The method and device of power distribution network vulnerability assessment |
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