CN105607029B - A kind of electric power metering device running quality trend analysis based on standard deviation - Google Patents

A kind of electric power metering device running quality trend analysis based on standard deviation Download PDF

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CN105607029B
CN105607029B CN201610011974.9A CN201610011974A CN105607029B CN 105607029 B CN105607029 B CN 105607029B CN 201610011974 A CN201610011974 A CN 201610011974A CN 105607029 B CN105607029 B CN 105607029B
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electric power
metering device
power metering
device running
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CN105607029A (en
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周玉
崔高颖
范洁
易永仙
陈霄
郑飞
许杰雄
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State Grid Corp of China SGCC
Jiangsu Fangtian Power Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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State Grid Corp of China SGCC
Jiangsu Fangtian Power Technology Co Ltd
Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses a kind of the electric power metering device running quality trend analysis based on standard deviation, step 1, the statistics section standard deviation of calculating electric power metering device running quality index；Step 2 calculates the statistics average value in interval of electric power metering device running quality index；Step 3 calculates the judge value of electric power metering device running quality index；Step 4, according to equal line, practical line judges line and carries out trend analysis to electric power metering device running quality.A kind of electric power metering device running quality trend analysis based on standard deviation provided by the invention, it is cut from electric power metering device running quality trend analysis, introduce trend mutation, it is stable, shake controllable feature, the accuracy rate for greatly improving running quality trend analysis provides the information support being more clear for measurement monitoring, is to build one high standard, the electric power metering device operating status of high quality important means.

Description

A kind of electric power metering device running quality trend analysis based on standard deviation
Technical field
The present invention relates to a kind of electric power metering device running quality trend analysis based on standard deviation, belongs to kilowatt meter Measure technical field.
Background technology
Currently, with the variation of scientific and technological progress and energy pattern, socio-economic development increasingly increases the degree of dependence of electric energy By force.A steelyard of the electric energy metering device as electric energy trade settlement business, to hair, it is defeated, match, the several links of electricity consumption it is all very heavy It wants.Electric power metering device running quality influences the stability and reliability of power operation, is utilizing the industry such as metering on-line monitoring While business system is monitored electric power metering device running quality, discovery only supervises the abnormal threshold values of device itself Control, and the relevant informations such as state, Long-term change trend, the concussion section of electric power metering device operation are ignored, to cause to metering The hysteresis quality of device running quality monitoring, cannot achieve metering device running quality advanced early warning.Currently, it is a kind of right that there is an urgent need for researchs Metering device running quality trend analysis.The present invention is cut from electric power metering device running quality trend analysis, is introduced Trend is mutated, stable, shakes controllable feature, is established a kind of electric power metering device running quality based on standard deviation and is become Method of potential analysis.
Invention content
Purpose：In order to overcome the deficiencies in the prior art, the present invention to provide a kind of electric-power metering based on standard deviation Device running quality trend analysis.
Technical solution：In order to solve the above technical problems, the technical solution adopted by the present invention is：
A kind of electric power metering device running quality trend analysis based on standard deviation, including steps are as follows：
Step 1 calculates the statistics section standard deviation of electric power metering device running quality index；
Step 2 calculates the statistics average value in interval of electric power metering device running quality index；
Step 3 calculates the judge value of electric power metering device running quality index；
Step 4, according to equal line, practical line judges line and carries out trend analysis to electric power metering device running quality.
Statistics section standard deviation computational methods are as follows：
Assuming that there is one group of real number value X1,X2,X3,......XN, it is all real number, one group of real number value arithmetic mean of instantaneous value is μ, mark Quasi- difference is as shown in formula 1：
Wherein, N is statistics section.
Statistics section mean value calculation method is as follows：
Assuming that there is one group of real number value X1,X2,X3,......XN, it is all real number, one group of real number value arithmetic mean of instantaneous value is μ such as public Shown in formula 2：
Wherein, N is statistics section.
The judge value calculating method of the running quality index is as follows：
When operating index is positive index, it is better more leveling off to 1 expression quality that the forward direction index is index value, judges Value is as shown in formula 3：
α=μ-β σ (3)
When operating index is reverse index, the reverse index is that index value is better more leveling off to 0 expression quality, is judged Value is as shown in formula 4：
α=μ+β σ (4)
Wherein, β is regulation coefficient, β=1.7.
The equal line of basis, practical line judge line and carry out trend analysis judgment criteria to electric power metering device running quality It is as follows：
If actual value is θ1, θ2,...θM, by θN-1Later value is labeled in the coordinate of operating index-serial number, and line The practical line of composition；
A series of σ can be calculated according to step 11, σ2,...σM-N+1,
A series of μ can be calculated according to step 21, μ2,...μM-N+1, a series of average values are labeled in operating index-sequence Number coordinate in, and line forms equal line；
A series of α can be calculated according to step 31, α2,...αM-N+1, a series of judge values are labeled in operating index-sequence Number coordinate in, and line composition judge line；
If：
σi-σi-1＞ 0
Then illustrate to judge line far from equal line, the concussion aggravation of electric power metering device running quality；
σi-σi-1＜ 0
Then illustrate to judge line close to equal line, electric power metering device running quality tends towards stability；
If：
θi-μi＞ 0
Then illustrate that practical line is higher than equal line, electric power metering device running quality is in propradation；
θi-μi＜ 0
Then illustrate that practical line is less than equal line, electric power metering device running quality is in decline state；
If：
θi-αi＞ 0
When judging quota is positive index：
Then illustrate practical line higher than judgement line, electric power metering device running quality changes in normal range (NR)；
When judging quota is reverse index：
Then illustrate that practical line is higher than equal line, electric power metering device running quality is uprushed；
If：
θi-αi＜ 0
When judging quota is positive index：
Then illustrate that practical line is less than equal line, bust occurs for electric power metering device running quality；
When judging quota is reverse index：
Then illustrate practical line less than judgement line, electric power metering device running quality changes in normal range (NR)；
Wherein, it is sequence number value that M, which is judging quota actual value number M ＞ N, i,.
Preferably, the N=20.
Advantageous effect：A kind of electric power metering device running quality trend analysis side based on standard deviation provided by the invention Method is cut from electric power metering device running quality trend analysis, introduces trend mutation, stable, shakes controllable feature, The accuracy rate for greatly improving running quality trend analysis provides the information support being more clear for measurement monitoring, is to build One high standard, the electric power metering device operating status of high quality important means.
Description of the drawings
Fig. 1 is the analysis method flow chart of the present invention；
Fig. 2 is that Wuxi City power information acquisition system builds utility ratio trend analysis figure.
Specific implementation mode
The present invention is further described below in conjunction with the accompanying drawings.
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention Technical solution, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, a kind of electric power metering device running quality trend-analyzing model based on standard deviation, including following step Suddenly：
Step 1, electric power metering device running quality count section standard deviation formula and are,
Assuming that there is one group of real number value X1,X2,X3,......XN, it is all real number, arithmetic mean of instantaneous value μ, formula：
Wherein, N is statistics section, N=20 herein.
Example：
63 days in measurement technology supervision Wuxi City " power information acquisition system construction utility ratio " index is now chosen to carry out Objective evaluation refers to table one.
One Wuxi City of table, 63 days power information acquisition systems build utility ratio
1 2 3 4 5 6 7
98.68% 98.62% 98.56% 98.40% 98.44% 97.88% 98.42%
8 9 10 11 12 13 14
98.62% 98.56% 98.68% 98.82% 98.78% 98.78% 98.84%
15 16 17 18 19 20 21
98.86% 98.98% 99.00% 99.08% 99.08% 99.12% 99.12%
22 23 24 25 26 27 28
99.12% 99.16% 99.16% 99.16% 99.20% 99.20% 99.20%
29 30 31 32 33 34 35
99.20% 99.20% 99.24% 99.24% 99.24% 99.24% 99.24%
36 37 38 39 40 41 42
99.20% 98.68% 98.80% 98.88% 98.92% 98.92% 98.92%
43 44 45 46 47 48 49
98.96% 99.00% 98.92% 98.88% 98.88% 98.84% 98.84%
50 51 52 53 54 55 56
98.88% 98.88% 98.92% 98.96% 99.00% 98.98% 98.99%
57 58 59 60 61 62 63
99.03% 99.07% 99.11% 99.16% 99.24% 99.24% 99.27%
It is as shown in Table 2 by calculating standard deviation result.
Two standard deviation result of table
1 2 3 4 5 6 7
0.002960441 0.003097299 0.003202154 0.003287792 0.003256007 0.003205571 0.002314508
8 9 10 11 12 13 14
0.002058206 0.001950843 0.001709755 0.001541394 0.001492578 0.001364628 0.001176972
15 16 17 18 19 20 21
0.001003153 0.000779946 0.000660144 0.001233054 0.001459632 0.001567432 0.001636427
22 23 24 25 26 27 28
0.001696436 0.001748383 0.001769329 0.001772183 0.001797659 0.001818154 0.001823704
29 30 31 32 33 34 35
0.00183303 0.001823704 0.001780715 0.001690095 0.001565954 0.001412575 0.001233054
36 37 38 39 40 41 42
0.000999526 0.000764939 0.000614731 0.000633516 0.000732336 0.000872444 0.001071693
43 44
0.001217374 0.0013667
Step 2 calculates the statistics average value in interval of electric power metering device running quality index.
Electric power metering device running quality counts section Mean Value Formulas,
Wherein, N is statistics section, N=20 herein.
It is as shown in Table 3 by calculating average results.
Three average results of table
1 2 3 4 5 6 7
0.9871 0.98732 0.98757 0.98787 0.98825 0.98861 0.98927
8 9 10 11 12 13 14
0.98966 0.98995 0.99027 0.99053 0.99074 0.99097 0.9912
15 16 17 18 19 20 21
0.9914 0.99159 0.9917 0.99154 0.9914 0.9913 0.9912
22 23 24 25 26 27 28
0.9911 0.991 0.9909 0.99082 0.9907 0.99054 0.99038
29 30 31 32 33 34 35
0.9902 0.99002 0.98986 0.98968 0.98952 0.98938 0.98926
36 37 38 39 40 41 42
0.98913 0.989025 0.9892 0.989335 0.98945 0.98957 0.98973
43 44
0.98989 0.990045
Step 3 calculates the judge value of electric power metering device running quality index.
Calculate electric power metering device running quality index judge value calculation formula be,
Formula one：
α=μ-β σ
Formula two：
α=μ+β σ
Formula one is suitable for positive index, and index value is 1 better more leveling off to, and formula two is suitable for reverse index, index value It is 0 better more leveling off to.
Wherein, β is regulation coefficient, β=1.7 herein.
" power information acquisition system construction utility ratio " is positive index, therefore with formula one.
It is as shown in Table 4 by calculating judge value result.
Four judge value result of table
1 2 3 4 5 6 7
0.98206725 0.982054591 0.982126338 0.982280753 0.982714789 0.98316053 0.985335336
8 9 10 11 12 13 14
0.98616105 0.986633566 0.987363416 0.987909631 0.988202617 0.988650132 0.989199148
15 16 17 18 19 20 21
0.98969464 0.990264092 0.990577756 0.989443809 0.988918625 0.988635366 0.988418073
22 23 24 25 26 27 28
0.988216059 0.988027749 0.98789214 0.987807289 0.987643979 0.987449138 0.987279704
29 30 31 32 33 34 35
0.987083849 0.986919704 0.986832784 0.986806839 0.986857879 0.986978622 0.987163809
36 37 38 39 40 41 42
0.987430805 0.987724604 0.988154957 0.988258023 0.988205029 0.988086846 0.987908122
43 44
0.987820464 0.98772161
Step 4, according to equal line, practical line judges line and carries out trend analysis to electric power metering device running quality.
Analysis and judgment standard is,
If actual value is θ1, θ2,...θM, by θN-1Later value is labeled in the coordinate of operating index-serial number, and line The practical line of composition；
A series of σ can be calculated according to step 11, σ2,...σM-N+1,
A series of μ can be calculated according to step 21, μ2,...μM-N+1, a series of average values are labeled in operating index-sequence Number coordinate in, and line forms equal line；
A series of α can be calculated according to step 31, α2,...αM-N+1, a series of judge values are labeled in operating index-sequence Number coordinate in, and line composition judge line；
If：
σi-σi-1＞ 0
Then illustrate to judge line far from equal line, the concussion aggravation of electric power metering device running quality；
σi-σi-1＜ 0
Then illustrate to judge line close to equal line, electric power metering device running quality tends towards stability；
If：
θi-μi＞ 0
Then illustrate that practical line is higher than equal line, electric power metering device running quality is in propradation；
θi-μi＜ 0
Then illustrate that practical line is less than equal line, electric power metering device running quality is in decline state；
If：
θi-αi＞ 0
When judging quota is positive index：
Then illustrate practical line higher than judgement line, electric power metering device running quality changes in normal range (NR)；
When judging quota is reverse index：
Then illustrate that practical line is higher than equal line, electric power metering device running quality is uprushed；
If：
θi-αi＜ 0
When judging quota is positive index：
Then illustrate that practical line is less than equal line, bust occurs for electric power metering device running quality；
When judging quota is reverse index：
Then illustrate practical line less than judgement line, electric power metering device running quality changes in normal range (NR)；
Wherein, it is sequence number value that M, which is judging quota actual value number M ＞ N, i,.
As shown in Fig. 2, building utility ratio to Wuxi City power information acquisition system according to judgment criteria carries out trend analysis, Choose wherein analysis site：
σ i- σ i-1 0 17 >=i of ＞ ＞ 4
σ i- σ i-1 0 44 >=i of ＜ ＞ 38
0 i=18 of θ i- β i ＜
θ i- μ i 0 34 >=i of ＜ ＞ 18
θ i- μ i 0 44 >=i of ＞ ＞ 35
It draws a conclusion：
On day 4 in operation in the 17th day, index value grows steadily and index value concussion tends towards stability, and the 18th It, index value, which is broken through, judges line, causes index value bust, belongs to anomalous variation, should ascertain the reason, in operation in 18 days to 34 days Middle index is of flowing rhythm, but overall trend is less than equal line, belongs to weak tendency concussion, practical in the operation by 44 days in the 35th day Line breaks through equal line, and shakes aggravation, in the trend for accelerating to go up, should summarize index advantage reason, for optimizing index fortune in the future It is used when row.
In conclusion the above method, realizes to electric power metering device running quality trend analysis, greatly improves electricity The accuracy rate of power metering device running quality trend analysis, the information support being more clear is provided for measurement monitoring, is to build height One standard, the electric power metering device operating status of high quality important means.
The above is only a preferred embodiment of the present invention, it should be pointed out that：For the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (2)

1. a kind of electric power metering device running quality trend analysis based on standard deviation, it is characterised in that：Such as including step Under：
Step 1 calculates the statistics section standard deviation of electric power metering device running quality index；
Step 2 calculates the statistics average value in interval of electric power metering device running quality index；
Step 3 calculates the judge value of electric power metering device running quality index；
Step 4, according to equal line, practical line judges line and carries out trend analysis to electric power metering device running quality；
Statistics section standard deviation computational methods are as follows：
Assuming that there is one group of real number value X1,X2,X3,......XN, it is all real number, one group of real number value arithmetic mean of instantaneous value is μ, and standard deviation is such as Shown in formula 1：
Wherein, N is statistics section；
Statistics section mean value calculation method is as follows：
Assuming that there is one group of real number value X1,X2,X3,......XN, it is all real number, one group of real number value arithmetic mean of instantaneous value is μ such as 2 institutes of formula Show：
Wherein, N is statistics section；
The judge value calculating method of the running quality index is as follows：
When operating index is positive index, the forward direction index is that 1 expression quality is better, and judge value is such as more leveling off to for index value Shown in formula 3：
α=μ-β σ (3)
When operating index is reverse index, the reverse index is that 0 expression quality is better, and judge value is such as more leveling off to for index value Shown in formula 4：
α=μ+β σ (4)
Wherein, β is regulation coefficient, β=1.7；
It is as follows to electric power metering device running quality progress trend analysis judgment criteria to judge line for the equal line of basis, practical line：
If actual value is θ1, θ2... ... θM, by θN-1Later value is labeled in the coordinate of operating index-serial number, and line forms Practical line；
A series of σ can be calculated according to step 11, σ2... ... σM-N+1,
A series of μ can be calculated according to step 21, μ2... ... μM-N+1, a series of average values are labeled in operating index-serial number In coordinate, and line forms equal line；
A series of α can be calculated according to step 31, α2... ... αM-N+1, a series of judge values are labeled in operating index-serial number In coordinate, and line composition judges line；
If：
σi-σi-1＞ 0
Then illustrate to judge line far from equal line, the concussion aggravation of electric power metering device running quality；
σi-σi-1＜ 0
Then illustrate to judge line close to equal line, electric power metering device running quality tends towards stability；
If：
θi-μi＞ 0
Then illustrate that practical line is higher than equal line, electric power metering device running quality is in propradation；
θi-μi＜ 0
Then illustrate that practical line is less than equal line, electric power metering device running quality is in decline state；
If：
θi-αi＞ 0
When judging quota is positive index：
Then illustrate practical line higher than judgement line, electric power metering device running quality changes in normal range (NR)；
When judging quota is reverse index：
Then illustrate that practical line is higher than equal line, electric power metering device running quality is uprushed；
If：
θi-αi＜ 0
When judging quota is positive index：
Then illustrate that practical line is less than equal line, bust occurs for electric power metering device running quality；
When judging quota is reverse index：
Then illustrate practical line less than judgement line, electric power metering device running quality changes in normal range (NR)；
Wherein, it is sequence number value that M, which is judging quota actual value number M ＞ N, i,.
2. a kind of electric power metering device running quality trend analysis based on standard deviation according to claim 1, It is characterized in that：The N=20.
CN201610011974.9A 2016-01-08 2016-01-08 A kind of electric power metering device running quality trend analysis based on standard deviation Active CN105607029B (en)

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