CN105279353A - Low voltage transformer area line loss calculating method based on cluster characteristic and network vector - Google Patents

Low voltage transformer area line loss calculating method based on cluster characteristic and network vector Download PDF

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Publication number
CN105279353A
CN105279353A CN201410269508.1A CN201410269508A CN105279353A CN 105279353 A CN105279353 A CN 105279353A CN 201410269508 A CN201410269508 A CN 201410269508A CN 105279353 A CN105279353 A CN 105279353A
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loss
backbone
network vector
line
line loss
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CN201410269508.1A
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李蒙赞
郑雅轩
霍成军
郝俊博
段伟文
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Electric Power Research Institute of State Grid Shanxi Electric Power Co Ltd
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Electric Power Research Institute of State Grid Shanxi Electric Power Co Ltd
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Abstract

The invention provides a low voltage transformer area line loss calculating method based on cluster characteristics and network vectors; the method uses a typical transformer area line loss theory accumulated in years to calculate a result, and uses a cluster analysis method to calculate transformer area type loss indexes according to power supply volume and maximum power supply radius parameters; the method uses statistics parameters like transformer area power supply volume, a main line, branches, and ammeters to fast calculate transformer area theory line loss. The method can satisfy power supply company transformer area theory line loss calculating precision requirements, is fast in calculating speed, and theory line loss calculating time consumption of each transformer area is smaller than 50 millisecond; no network wiring diagram is needed, statistics parameters needed by the transformer area line loss calculation can be easily obtained from an existing system of the power supply company in real time, and artificial data maintenance workload is small, thus basically realizing maintenance-free effect.

Description

A kind of low-voltage platform area line loss calculation method based on cluster feature and network vector
Technical field
The present invention relates to line loss calculation technical field, more specifically relate to a kind of low-voltage platform area line loss calculation method based on cluster feature and network vector.
Background technology
Line loss calculation is an important process content of electric power enterprise with analysis, and theoretical loss calculation is the line loss per unit drawn according to defeated, change, controller switching equipment parameter, load uncertainty, property calculation.Logical in a few years Shanxi Power Network theoretical line loss caluclation is analyzed, and the theory wire loss electricity of low-voltage platform area accounts for about 15% of the whole network total losses electricity, is the emphasis that damage falls in electrical network.
There are three huge difficulties in the whole network low-voltage platform area line loss calculation: one is that low-voltage platform area quantity is extremely huge, and real-time data capture difficulty, workload and cost are all quite huge; Two is that conventional table domain tyeory line loss algorithm or measuring instrument of distribution line loss device all need input table district substitutional resistance, but the calculating of substitutional resistance needs to draw platform district detailed network topological structure in systems in which, needs a large amount of manpower and materials to drop into; The transformation of three Shi Tai districts or change produce a large amount of data maintenance work, exceed the ability to bear of line loss staff.
Summary of the invention
(1) technical matters that will solve
How quick the technical problem to be solved in the present invention is, the calculating low-voltage platform area line loss that letter becomes.
(2) technical scheme
In order to solve the problems of the technologies described above, the invention provides a kind of low-voltage platform area line loss calculation method based on cluster feature and network vector, comprising the following steps:
The basic data in the existing platform district of S1, automatic acquisition or input, front-month delivery, maximum radius of electricity supply, backbone length, backbone hop count, branch line quantity, branch line length;
S2, foundation existing platform district basic data, adopt three layers of BP neural network models training to calculate, obtain platform district type loss objective;
S3, network vector calculate, and adopt equivalent current values as the network vector value of every bar branch road, and can calculate appearance district head end electric current by actual measurement or foundation delivery is I, then every section of circuit network vector is:
Backbone: backbone has n section, n section connected, first section of network vector is I, and the 2nd section of network vector is (n-1) * I/n, the like, latter end network vector is I/n;
Branch line: branch line has one or more branch, there is m section in each branch; The multi-stage series of each branch, in parallel between branch; Each branch line first section of network vector is I/n, and the 2nd section of network vector is (m-1) * I/ (m*n), the like, latter end network vector is I/ (m*n);
Subscribers feeder: subscribers feeder multistage is all in parallel, every section of network vector is 9*I/k, and wherein k is the total hop count of subscribers feeder;
S4, computational scheme loss,
(1) loss of described backbone is calculated,
Backbone loss=KC*K1*K2*Kpl*I*I*R* (n+1) * (2n+1)/(6n*n), wherein, R is backbone all-in resistance; KC is electric current conversion factor; K1 shape coefficient, is defaulted as 1; K2 platform district type loss objective; Kpl circuit types loss factor;
(2) loss of every bar branch line of described branch line is calculated,
Loss=KC*K1*K2*Kpl* (I/n) * (I/n) * r* (m+1) * (2m+1)/(6m*m) of every bar branch line; The wherein all-in resistance of this branch line of r;
(3) described subscriber's line loss is calculated,
Subscriber's line loss=KC*K1*K2*Kpl*9*I*I/ (k*k*k);
S5, reckoner damage,
Table damage=single-phase machinery table monthly loss * single-phase machinery table quantity/30+ three-phase mechanical table monthly loss * three-phase mechanical table quantity/30+ single-phase electricity sublist monthly loss * single-phase electricity sublist quantity/30+ three-phase electricity sublist monthly loss * three-phase electricity sublist quantity/30;
S6, calculating total losses and line loss per unit,
Total losses=table damage+backbone loss+branch line loss+entrance line loss;
Line loss per unit=total losses/delivery * 100%.
Preferably, the all-in resistance r of described backbone all-in resistance R and branch line is all according to wire type and length computation.
Preferably, the span of described district's type loss objective is 0 ~ 3.
(3) beneficial effect
The invention provides a kind of low-voltage platform area line loss calculation method based on cluster feature and network vector, method of the present invention is while meeting electric company's platform domain tyeory line loss calculation accuracy requirement, have the computing velocity be exceedingly fast, every platform domain tyeory line loss calculation is consuming time is less than 50 milliseconds; And without the need to drawing network connection figure, needed for platform district line loss calculation, statistical parameter is easy to Real-time Obtaining from electric company's existing system, and artificial data maintenance workload is little, substantially non-maintaining.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is three layers of BP neural network model figure that the present invention utilizes;
Fig. 2 is the process flow diagram of a kind of low-voltage platform area line loss calculation method based on cluster feature and network vector of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Following examples for illustration of the present invention, but can not be used for limiting the scope of the invention.
Fig. 2 is the process flow diagram of a kind of low-voltage platform area line loss calculation method based on cluster feature and network vector of the present invention; Method of the present invention comprises the following steps:
The basic data in the existing platform district of S1, automatic acquisition or input, front-month delivery, maximum radius of electricity supply, backbone length, backbone hop count, branch line quantity, branch line length;
S2, foundation existing platform district basic data, adopt three-layer neural network model training to calculate, obtain platform district type loss objective; Described three-layer neural network model is BP neural network model; The span of described district's type loss objective is 0 ~ 3;
Above-mentioned poly-three-layer neural network model comprises: input layer has 6 inputs, the moon delivery, maximum radius of electricity supply, backbone length, backbone hop count, branch line quantity, branch line length; Hidden layer has 6 neurons; Output layer has 1 output, and Ji Tai district type loss objective, shown in model structure Fig. 1.Interconnected all between two between 6 inputs of described three-layer neural network mode input layer and 6 neurons of hidden layer, this figure is the too complexity avoiding picture, only depict input 1 front-month delivery and the annexation of input 6 that is between branch line length and hidden layer neuron in detail, the relation object between other 4 inputs and hidden layer neuron is same.The weights of described three-layer neural network model have 42 parameters, wherein: have 36 parameter WAij (i=1 between input layer and hidden layer ... 6, j=1 ... 6) weights between input i and hidden layer neuron j, are represented respectively; 6 parameter WBj (j=1 are had between hidden layer and output layer ... 6) weights between hidden layer neuron j and output (platform district type loss objective), are represented respectively.
S3, network vector calculate, and adopt equivalent current values as the network vector value of every bar branch road, and can calculate appearance district head end electric current by actual measurement or foundation delivery is I, then every section of circuit network vector is:
Backbone: backbone has n section, n section connected, first section of network vector is I, and the 2nd section of network vector is (n-1) * I/n, the like, latter end network vector is I/n;
Branch line: branch line has one or more branch, there is m section in each branch; The multi-stage series of each branch, in parallel between branch; Each branch line first section of network vector is I/n, and the 2nd section of network vector is (m-1) * I/ (m*n), the like, latter end network vector is I/ (m*n);
Subscribers feeder: subscribers feeder multistage is all in parallel, every section of network vector is 9*I/k, and wherein k is the total hop count of subscribers feeder;
S4, computational scheme loss,
(1) loss of described backbone is calculated,
Backbone loss=KC*K1*K2*Kpl*I*I*R* (n+1) * (2n+1)/(6n*n), wherein, R is backbone all-in resistance; KC is electric current conversion factor; K1 shape coefficient, is defaulted as 1; K2 platform district type loss objective; Kpl circuit types loss factor;
(2) loss of every bar branch line of described branch line is calculated,
Loss=KC*K1*K2*Kpl* (I/n) * (I/n) * r* (m+1) * (2m+1)/(6m*m) of every bar branch line; The wherein all-in resistance of this branch line of r;
(3) described subscriber's line loss is calculated,
Subscriber's line loss=KC*K1*K2*Kpl*9*I*I/ (k*k*k)
S5, reckoner damage,
Table damage=single-phase machinery table monthly loss * single-phase machinery table quantity/30+ three-phase mechanical table monthly loss * three-phase mechanical table quantity/30+ single-phase electricity sublist monthly loss * single-phase electricity sublist quantity/30+ three-phase electricity sublist monthly loss * three-phase electricity sublist quantity/30;
S6, calculating total losses and line loss per unit,
Total losses=table damage+backbone loss+branch line loss+entrance line loss;
Line loss per unit=total losses/delivery * 100%.
The all-in resistance r of above-mentioned backbone all-in resistance R and branch line is all according to wire type and length computation.
Method disclosed by the invention, while meeting electric company's platform domain tyeory line loss calculation accuracy requirement, has the computing velocity be exceedingly fast, and every platform domain tyeory line loss calculation is consuming time is less than 50 milliseconds; And without the need to drawing network connection figure, needed for platform district line loss calculation, statistical parameter is easy to Real-time Obtaining from electric company's existing system, and artificial data maintenance workload is little, substantially non-maintaining.
Above embodiment is only for illustration of the present invention, but not limitation of the present invention.Although with reference to embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, various combination, amendment or equivalent replacement are carried out to technical scheme of the present invention, do not depart from the spirit and scope of technical solution of the present invention, all should be encompassed in the middle of right of the present invention.

Claims (3)

1., based on a low-voltage platform area line loss calculation method for cluster feature and network vector, it is characterized in that, comprise the following steps:
The basic data in the existing platform district of S1, automatic acquisition or input, front-month delivery, maximum radius of electricity supply, backbone length, backbone hop count, branch line quantity, branch line length;
S2, foundation existing platform district basic data, adopt three layers of BP neural network models training to calculate, obtain platform district type loss objective;
S3, network vector calculate, and adopt equivalent current values as the network vector value of every bar branch road, and can calculate appearance district head end electric current by actual measurement or foundation delivery is I, then every section of circuit network vector is:
Backbone: backbone has n section, n section connected, first section of network vector is I, and the 2nd section of network vector is (n-1) * I/n, the like, latter end network vector is I/n;
Branch line: branch line has one or more branch, there is m section in each branch; The multi-stage series of each branch, in parallel between branch; Each branch line first section of network vector is I/n, and the 2nd section of network vector is (m-1) * I/ (m*n), the like, latter end network vector is I/ (m*n);
Subscribers feeder: subscribers feeder multistage is all in parallel, every section of network vector is 9*I/k, and wherein k is the total hop count of subscribers feeder;
S4, computational scheme loss,
(1) loss of described backbone is calculated,
Backbone loss=KC*K1*K2*Kpl*I*I*R* (n+1) * (2n+1)/(6n*n), wherein, R is backbone all-in resistance; KC is electric current conversion factor; K1 shape coefficient, is defaulted as 1; K2 is platform district type loss objective; Kpl is circuit types loss factor;
(2) loss of every bar branch line of described branch line is calculated,
Loss=KC*K1*K2*Kpl* (I/n) * (I/n) * r* (m+1) * (2m+1)/(6m*m) of every bar branch line; The wherein all-in resistance of this branch line of r;
(3) described subscriber's line loss is calculated,
Subscriber's line loss=KC*K1*K2*Kpl*9*I*I/ (k*k*k);
S5, reckoner damage,
Table damage=single-phase machinery table monthly loss * single-phase machinery table quantity/30+ three-phase mechanical table monthly loss * three-phase mechanical table quantity/30+ single-phase electricity sublist monthly loss * single-phase electricity sublist quantity/30+ three-phase electricity sublist monthly loss * three-phase electricity sublist quantity/30
S6, calculating total losses and line loss per unit,
Total losses=table damage+backbone loss+branch line loss+entrance line loss;
Line loss per unit=total losses/delivery * 100%.
2. method according to claim 1, is characterized in that, the all-in resistance r of described backbone all-in resistance R and branch line is all according to wire type and length computation.
3. method according to claim 1, is characterized in that, the span of described district's type loss objective is 0 ~ 3.
CN201410269508.1A 2014-06-17 2014-06-17 Low voltage transformer area line loss calculating method based on cluster characteristic and network vector Pending CN105279353A (en)

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CN106127387A (en) * 2016-06-24 2016-11-16 中国电力科学研究院 A kind of platform district based on BP neutral net line loss per unit appraisal procedure
CN107832855A (en) * 2017-09-14 2018-03-23 北京中恒博瑞数字电力科技有限公司 Line loss multi-source diagnostic method and system based on correlation analysis
CN108229087A (en) * 2017-09-30 2018-06-29 国网上海市电力公司 A kind of destructed method of low-voltage platform area typical scene
CN114638554A (en) * 2022-05-18 2022-06-17 国网浙江省电力有限公司 Marketing business health index evaluation joint control method and system

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106127387A (en) * 2016-06-24 2016-11-16 中国电力科学研究院 A kind of platform district based on BP neutral net line loss per unit appraisal procedure
CN107832855A (en) * 2017-09-14 2018-03-23 北京中恒博瑞数字电力科技有限公司 Line loss multi-source diagnostic method and system based on correlation analysis
CN107832855B (en) * 2017-09-14 2020-08-21 北京中恒博瑞数字电力科技有限公司 Line loss multi-source diagnosis method and system based on correlation analysis
CN108229087A (en) * 2017-09-30 2018-06-29 国网上海市电力公司 A kind of destructed method of low-voltage platform area typical scene
CN114638554A (en) * 2022-05-18 2022-06-17 国网浙江省电力有限公司 Marketing business health index evaluation joint control method and system
CN114638554B (en) * 2022-05-18 2022-08-26 国网浙江省电力有限公司 Marketing business health index evaluation joint control method and system

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Application publication date: 20160127