CN103576004B - Voltage phase shortage algorithm in metering exception analysis system - Google Patents

Abstract

The invention discloses a kind of voltage phase shortage algorithm measured in exception analysis system, by the mode of Mathematical Statistics Analysis, realize data model, highly automated judgement is carried out to result, and there is the flatness of time, by theoretical analysis and practical proof, accurate event can be realized judge, significantly reduce and manually carry out data judgement and statistic analysis amount, improve work efficiency, and achieve the analysis foundation of data, effectively ensure that the promptness that voltage phase shortage event judges and accuracy; And based on on-line metering exception monitoring system, for the safe and reliable of adapted electrical network and economical operation provide supplementary, thus for providing the electric service of higher reliability to provide guidance.

Description

Voltage phase shortage algorithm in metering exception analysis system

Technical field

The present invention relates to electrical network distribution multiplexe electric technology field, particularly relate to a kind of voltage phase shortage algorithm measured in exception analysis system.

Background technology

Along with deepening continuously and the continuous growth of acquisition terminal installation rate and image data amount of power information acquisition system construction, system possesses the basis of measuring apparatus being carried out to on-line monitoring ability and intelligent diagnostics.What the on-line monitoring of measuring apparatus and intelligent diagnostics software (hereinafter referred to as metering on-line monitoring) made full use of that acquisition platform provides enriches data, realize the voltage to electric energy meter, metering, current transformer and secondary circuit, electric energy metering cabinet, case etc. and carry out on-line monitoring, to the abnormal quick position of situ metrology and fixed point investigation.Guarantee the accuracy of electric power meter, improve the recovery of electric power enterprise fund, consumption is reduced to promotion confession, electricity consumption both sides, economize energy, strengthen business accounting, alleviate the workload of the specialized department such as measurement centre, power utility check staff, improve enterprise operation and management and increase economic efficiency, all play very important meaning.

Voltage phase shortage algorithm in conventional metered dose exception analysis system, basic by manual analysis and judgement, the main artificial compare of analysis relying on direct feel to carry out data, analyzes in a large amount of data, has not only been difficult to judge fast but also easily cause that staff's is tired out.Even if having the system of part to achieve computing machine comparison, but its algorithm is only simply compare, and has very large wrong report problem in condition adjudgement.

Summary of the invention

The object of the invention is exactly the defect in order to make up prior art, provides a kind of voltage phase shortage algorithm measured in exception analysis system.

The present invention is achieved by the following technical solutions:

Measure the voltage phase shortage algorithm in exception analysis system, in massive quantity power supply and measurement state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase or C phase voltage are lower than 60V, and A, C phase voltage sum is less than 160V simultaneously;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height in low meter state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is set to self-contained mode { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and random voltages phase shortage event H is set to for the data meeting abnormal voltage non-full-phase state, total probability p(θ j) >0, at self-contained mode, { probability that in θ j}, random voltages phase shortage event H occurs is

$P\left(\mathrm{\θj}\right|H)=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{P\left(H\right)}=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{{\mathrm{\Σ}}_{j=1}^{n}P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})},$ (j=1,2,3 ..., n; P(H) >0), get n >=30, θ j is the image data at interval of 15 minutes, when self-contained mode in θ j} random voltages phase shortage event H occur probability P (θ j|H) >0.95 time, voltage phase shortage event set up.

Advantage of the present invention is: the present invention is by the mode of Mathematical Statistics Analysis, realize data model, highly automated judgement is carried out to result, and there is the flatness of time, by theoretical analysis and practical proof, accurate event can be realized and judge, significantly reduce and manually carry out data judgement and statistic analysis amount, improve work efficiency, and achieve the analysis foundation of data, effectively ensure that the promptness that voltage phase shortage event judges and accuracy; And based on on-line metering exception monitoring system, for the safe and reliable of adapted electrical network and economical operation provide supplementary, thus for providing the electric service of higher reliability to provide guidance.

Embodiment

Measure the voltage phase shortage algorithm in exception analysis system, in massive quantity power supply and measurement state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase or C phase voltage are lower than 60V, and A, C phase voltage sum is less than 160V simultaneously;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height in low meter state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is set to self-contained mode { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and random voltages phase shortage event H is set to for the data meeting abnormal voltage non-full-phase state, total probability p(θ j) >0, at self-contained mode, { probability that in θ j}, random voltages phase shortage event H occurs is $P\left(\mathrm{\θj}\right|H)=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{P\left(H\right)}=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{{\mathrm{\Σ}}_{j=1}^{n}P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})},$ (j=1,2,3 ..., n; P(H) >0), get n >=30, θ j is the image data at interval of 15 minutes, when self-contained mode in θ j} random voltages phase shortage event H occur probability P (θ j|H) >0.95 time, voltage phase shortage event set up.

Claims (1)

1. measure the voltage phase shortage algorithm in exception analysis system, it is characterized in that: in massive quantity power supply and measurement state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase or C phase voltage are lower than 60V, and A, C phase voltage sum is less than 160V simultaneously;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height in low meter state, what one of to meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is set to self-contained mode { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and random voltages phase shortage event H is set to for the data meeting abnormal voltage non-full-phase state, total probability p(θ j) >0, at self-contained mode, { probability that in θ j}, random voltages phase shortage event H occurs is (j=1,2,3 ..., n; P(H) >0), get n>=30, θ j is the image data at interval of 15 minutes, when self-contained mode in θ j} random voltages phase shortage event H occur probability P (θ j|H) >0.95 time, voltage phase shortage event set up.