CN106872823A - A kind of electricity quality evaluation method based on dynamic area cloud atlas - Google Patents
A kind of electricity quality evaluation method based on dynamic area cloud atlas Download PDFInfo
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- CN106872823A CN106872823A CN201710076511.5A CN201710076511A CN106872823A CN 106872823 A CN106872823 A CN 106872823A CN 201710076511 A CN201710076511 A CN 201710076511A CN 106872823 A CN106872823 A CN 106872823A
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- power quality
- quality index
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- cloud atlas
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The invention discloses a kind of electricity quality evaluation method based on dynamic area cloud atlas, including：Determine evaluation type and electricity quality evaluation region, the area of zoning delimited according to type；Being obtained by the electric energy quality monitoring point in region needs the power quality index data of assessment；Power quality data is arranged and power quality index data matrix is set up；Power quality index data cloud atlas is set up in geographical position according to matrix and monitoring point；According to the quality of power supply in cloud atlas assessment area；Areal calculation according to cloud atlas and region draws power quality index value；Desired value is arranged and power quality index value matrix is set up.It is different to region electricity quality evaluation requirement to solve the problems, such as different user that the present invention can dynamically delimit assessment area, and the influence that different voltage class or load type are caused to the region quality of power supply can be reflected, there is no the process of the distribution weight of complexity in appraisal procedure, calculating process simple and fast, result of calculation is rationally reliable.
Description
Technical field
The present invention relates to electricity quality evaluation field, more particularly to a kind of quality of power supply based on dynamic area cloud atlas is commented
Estimate method.
Background technology
In recent years, each Utilities Electric Co. had made a large amount of effective works at aspects such as electric energy quality monitoring, general survey, investigation
Make, have accumulated the experience and data in terms of much electricity quality, grasped substantial amounts of power network electric energy quality test data and monitoring
Data.Meanwhile, Utilities Electric Co. utilizes quality of power supply measurement data and Monitoring Data and electricity quality evaluation method in power network
The quality of power supply be estimated, so as to ensure the quality of user power utilization in power network.
In traditional electricity quality evaluation method, electricity quality evaluation work is mainly concentrated in using scientific and reasonable
Method, distributes different weights to multiple power quality indexs, is carried out artificial expansion or weakened some quality of power supply with this to refer to
The influence that mark is caused to the quality of power supply in whole region.For example, the order relation analytic approach in fuzzy analytics theory, by each electric energy
Quality index is sorted from big to small according to importance, and descending weight is distributed to each power quality index with this.But, give
When multiple power quality indexs distribute different weights, due to differences such as the know-how of expert, ability and experiences, cause subjectivity
Tax power cannot be carried out on same benchmark, the accuracy that influence power quality index weight determines.Traditional electricity quality evaluation
Method can not meet the demand of current enterprise and user, therefore, current more method is relatively reasonable by finding out
Power quality index weight, to be estimated to the quality of power supply.
But, current more method is the weight by finding out relatively reasonable power quality index, to electricity
Energy quality is estimated, and these methods can only be estimated to single monitoring point, if will when assessing multiple monitoring points
Calculating can be made becomes extremely complex, with significant limitation.
The content of the invention
A kind of electricity quality evaluation method based on dynamic area cloud atlas is provided in the embodiment of the present invention, it is existing to solve
Cannot meet the needs of different users the problems different to region electricity quality evaluation requirement in technology, so as to intuitively reflect area
The quality of the domain quality of power supply.
In order to solve the above-mentioned technical problem, the embodiment of the invention discloses following technical scheme：
A kind of electricity quality evaluation method based on dynamic area cloud atlas is provided in the embodiment of the present invention, including：
Determine evaluation type and electricity quality evaluation region delimited according to the type, calculate the area in the region；
Being obtained by the electric energy quality monitoring point in the region needs the power quality index data of assessment；
The power quality data is arranged and power quality index data matrix is set up；
Power quality index data cloud atlas is set up in geographical position according to the matrix and the monitoring point；
The quality of power supply in the region is assessed according to the cloud atlas；
Areal calculation according to the cloud atlas and the region draws power quality index value；
The desired value is arranged and power quality index value matrix is set up.
Preferably, the delimitation electricity quality evaluation region is realized in the following manner：
Some points during each the described monitoring point in the region is considered as into plane on map,
The connection point constitutes a region of closing.
Preferably, described acquisition needs the power quality index data of assessment to realize in the following manner：
In the monitoring point, equipment for monitoring power quality and data analysis set-up are set,
Every power quality index data of equipment for monitoring power quality collection and by every power quality index
Data upload to data analysis set-up,
The data analysis set-up will be needed described in assessment after every power quality index data analysis is arranged
Power quality index data are transferred to electricity quality evaluation platform.
Preferably, the power quality index data cloud atlas of setting up is realized in the following manner：
Using power quality index data described in quadratic nonlinearity regression fit and the two of the geographical position of the monitoring point
Secondary curved surface, the quadratic surface is the cloud atlas.
Preferably, the power quality index value that calculates is realized in the following manner：
The double integral to dx and dy is carried out to the quadratic surface, the integral result is made with the area in the region
Business, the value of the business is the desired value.
Beneficial effects of the present invention include：In the present invention, by determining that evaluation type can dynamically delimit the quality of power supply
Assessment area, and selected the power quality index related to evaluation type to be estimated according to needed for user；In addition, the present invention is also
The power quality index of dynamic area can be estimated for load type and voltage class, be referred to by setting up the quality of power supply
Mark data cloud atlas and power quality index value matrix, can intuitively reflect different load type and voltage class to region
The influence that the quality of power supply is caused；Finally, the power quality index data fitting for being obtained according to electric energy quality monitoring point in the present invention
Go out quadratic surface, i.e. power quality index data cloud atlas, and basic mathematical operation is carried out to the quadratic surface, without complexity
The process of weight is distributed, calculating process simple and fast, result of calculation is rationally reliable.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, on the premise of not paying creative work, can also obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of flow of electricity quality evaluation method based on dynamic area cloud atlas provided in an embodiment of the present invention
Figure；
Fig. 2 is the flow chart of the embodiment of the present invention 1；
Fig. 3 is the flow chart of the embodiment of the present invention 2；
Fig. 4 is the flow chart of the embodiment of the present invention 3.
Specific embodiment
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with of the invention real
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described implementation
Example is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, this area is common
The every other embodiment that technical staff is obtained under the premise of creative work is not made, should all belong to protection of the present invention
Scope.
It is a kind of electricity quality evaluation method based on dynamic area cloud atlas provided in an embodiment of the present invention referring to Fig. 1
Schematic flow sheet, comprises the following steps：
S100：Determine evaluation type and electricity quality evaluation region, the area of zoning delimited according to type.Assessment class
Type includes geographical position, voltage class and load type, wherein, conventional voltage class include 220V, 380V, 6kV, 10kV,
35kV, 110kV, 220kV, 330kV, 500kV and 1000kV；Load type by electricity consumption department attribute divide include commercial power,
Farming power, communications and transportation electricity consumption and municipal household electricity；Being divided by payload includes peak load, average load and minimum
Load；Being divided by the purpose using electric power includes power electricity consumption, electric consumption on lighting, electric heating electricity consumption, various electric equipment instrumentations
Control electricity consumption and communication electric etc..Delimiting the mode in electricity quality evaluation region is, the prison in region that will be delimited on map
Measuring point is considered as some points in plane, these points is sequentially connected the region for constituting a closing, then the method by integrating
The area of zoning.
S200：Being obtained by the electric energy quality monitoring point in region needs the power quality index data of assessment.According to state
Family's standard, power quality index includes voltage deviation, frequency departure, utility network harmonic wave, non-equilibrium among three phase voltages, voltage wave
Dynamic and flickering and temporary overvoltage and transient overvoltage.The power quality index that user can assess as needed is in the area for delimiting
Power quality index data are obtained by electric energy quality monitoring point in domain.Obtaining the mode of power quality index data is, is drawing
Equipment for monitoring power quality and data analysis set-up are set in fixed region, and equipment for monitoring power quality is used to gather every electric energy
Every power quality index data are simultaneously uploaded to data analysis set-up by quality index data；Data analysis set-up receives electric energy
Data analysis is arranged after quality index data, the power quality index data that user then is needed into assessment are transferred to electric energy matter
Amount Evaluation Platform is checked for user.
S300：Power quality data is arranged and power quality index data matrix is set up.By data preparation into matrix
Form, is easy to check and make cloud atlas.
S400：Power quality index data cloud atlas is set up in geographical position according to matrix and monitoring point.Using secondary non-thread
Property quadratic surface of the regression fit on monitoring point geographical position in power quality index data and defined area, as electric energy matter
Figureofmerit data cloud atlas.
S500：According to the quality of power supply in cloud atlas assessment area.The electric energy matter that can be intuitively checked in region by cloud atlas
Amount situation, and quality or the influence of the quality of power supply are assessed according to national standard.
S600：Areal calculation according to cloud atlas and region draws power quality index value.By the Quadratic Surface Equation of cloud atlas
Make double integral to dx and dy, that is, the volume in the space constituted with quadratic surface for obtaining defined area, then by the knot after integration
Fruit makees business with the area of defined area, obtains the power quality index value of each point in the region.
S700：Desired value is arranged and power quality index value matrix is set up.
Embodiment 1
It is the flow chart of the embodiment of the present invention 1 referring to Fig. 2, comprises the following steps：
S111：Assessment area delimited by geographical position, each electric energy quality monitoring point in the assessment area of delimitation regarded
It is some points in plane, is sequentially connected these points and constitutes a plane domain for closing, and calculate the area S in the region.
S212：Power quality index data needed for obtaining.
S313：The power quality index h assessed according to needed for user sets up geographical position power quality index data matrix
H, i.e.,：
H=[h1,h2,...,hi]
Wherein：hiIt is power quality index data, hi=f (xii,yii), i=1,2 ..., n, n be that the selected quality of power supply refers to
Target number, (xii,yii) be by geographical position delimit region in monitoring point geographical position coordinates.
S414：The power quality index h assessed according to needed for user is using quadratic nonlinearity regression fit on electric energy matter
Measure the power quality index data h of monitoring pointiWith the geographical position (x of electric energy quality monitoring pointii,yii) quadratic surface, i.e., should
The geographical position power quality index data cloud atlas in region：
Wherein：M, n=0,1,2, amnIt is multinomial coefficient.
S515：According to the quality of power supply in the geographical position power quality index data cloud graph evaluation geographic area set up
Quality.
S616：The quadratic surface that will be fitted makees the area S in integral result and the region to dx and dy double integrals
Business, draws power quality index value ei：
ei=∫ ∫ f (x, y) dxdy/S
Wherein：I=1,2 ..., number that n, n are selected power quality index.
S717：According to power quality index value eiGeographical position power quality index value matrix E is set up, is in array by result
Form expression, i.e.,：
E=[e1,e2,...,ei]
Wherein：eiIt is power quality index value.
Embodiment 2
It is the flow chart of the embodiment of the present invention 2 referring to Fig. 3, comprises the following steps：
S121：Assessment area delimited by voltage class, each electric energy quality monitoring point in the assessment area of delimitation regarded
It is some points in plane, is sequentially connected these points and constitutes a plane domain for closing, and calculate the area S in the region.
S222：Obtain the required and power quality index data related to voltage class.
S323：The power quality index m assessed according to needed for user sets up voltage class power quality index data matrix
M, i.e.,：
M=[m1,m2,...,mp]
Wherein：mpIt is power quality index data, mp=f (xmi,ymi), p=1,2 ..., n, n be that the selected quality of power supply refers to
Target number, (xmi,ymi) be by voltage class delimit region in monitoring point geographical position coordinates.
S424：The power quality index m assessed according to needed for user is using quadratic nonlinearity regression fit on electric energy matter
Measure the power quality index data m of monitoring pointpWith the geographical position (x of electric energy quality monitoring pointmi,ymi) quadratic surface, i.e., should
The voltage class power quality index data cloud atlas in region：
Wherein：M, n=0,1,2, amnIt is multinomial coefficient.
S525：Voltage class is to assessment area according to selected by the voltage class power quality index data cloud graph evaluation set up
The influence that the quality of power supply in domain is caused.
S626：The quadratic surface that will be fitted makees the area S in integral result and the region to dx and dy double integrals
Business, draws power quality index value fp：
fp=∫ ∫ f (x, y) dxdy/S
Wherein：P=1,2 ..., number that n, n are selected power quality index.
S727：According to power quality index value fpVoltage class power quality index value matrix F is set up, is in array by result
Form expression, i.e.,：
F=[f1,f2,...,fp]
Wherein：fpIt is power quality index value.
Embodiment 3
It is the flow chart of the embodiment of the present invention 3 referring to Fig. 4, comprises the following steps：
S131：Assessment area delimited by load type, each electric energy quality monitoring point in the assessment area of delimitation regarded
It is some points in plane, is sequentially connected these points and constitutes a plane domain for closing, and calculate the area S in the region.
S232：Obtain the required and power quality index data related to load type.
S333：The power quality index n assessed according to needed for user sets up load type power quality index data matrix
N, i.e.,：
N=[n1,n2,...,nq]
Wherein：nqIt is power quality index data, nq=f (xni,yni), p=1,2 ..., n, n be that the selected quality of power supply refers to
Target number, (xni,yni) be by load type delimit region in monitoring point geographical position coordinates.
S434：The power quality index n assessed according to needed for user is using quadratic nonlinearity regression fit on electric energy matter
Measure the power quality index data n of monitoring pointqWith the geographical position (x of electric energy quality monitoring pointni,yni) quadratic surface, i.e., should
The load type power quality index data cloud atlas in region：
Wherein：M, n=0,1,2, amnIt is multinomial coefficient.
S535：Load type is to assessment area according to selected by the load type power quality index data cloud graph evaluation set up
The influence that the quality of power supply in domain is caused.
S636：The quadratic surface that will be fitted makees the area S in integral result and the region to dx and dy double integrals
Business, draws power quality index value wq：
wq=∫ ∫ f (x, y) dxdy/S
Wherein：Q=1,2 ..., number that n, n are selected power quality index.
S737：According to power quality index value wqLoad type power quality index value matrix W is set up, is in array by result
Form expression, i.e.,：
W=[w1,w2,...,wq]
Wherein：wqIt is power quality index value.
The above is only specific embodiment of the invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of electricity quality evaluation method based on dynamic area cloud atlas, it is characterised in that including：
Determine evaluation type and electricity quality evaluation region delimited according to the type, calculate the area in the region；
Being obtained by the electric energy quality monitoring point in the region needs the power quality index data of assessment；
The power quality data is arranged and power quality index data matrix is set up；
Power quality index data cloud atlas is set up in geographical position according to the matrix and the monitoring point；
The quality of power supply in the region is assessed according to the cloud atlas；
Areal calculation according to the cloud atlas and the region draws power quality index value；
The desired value is arranged and power quality index value matrix is set up.
2. the electricity quality evaluation method based on dynamic area cloud atlas according to claim 1, it is characterised in that described stroke
Determine electricity quality evaluation region to realize in the following manner：
Some points during each the described monitoring point in the region is considered as into plane on map,
The connection point constitutes a region of closing.
3. the electricity quality evaluation method based on dynamic area cloud atlas according to claim 1, it is characterised in that described to obtain
Taking needs the power quality index data of assessment to realize in the following manner：
In the monitoring point, equipment for monitoring power quality and data analysis set-up are set,
Every power quality index data of equipment for monitoring power quality collection and by every power quality index data
Upload to data analysis set-up,
The data analysis set-up will need the electric energy of assessment after every power quality index data analysis is arranged
Quality index data is transferred to electricity quality evaluation platform.
4. the electricity quality evaluation method based on dynamic area cloud atlas according to claim 2, it is characterised in that described to build
Vertical power quality index data cloud atlas is realized in the following manner：
Using the secondary song in power quality index data described in quadratic nonlinearity regression fit and the geographical position of the monitoring point
Face, the quadratic surface is the cloud atlas.
5. the electricity quality evaluation method based on dynamic area cloud atlas according to claim 4, it is characterised in that the meter
Calculation show that power quality index value is realized in the following manner：
The double integral to dx and dy is carried out to the quadratic surface, the integral result is made into business with the area in the region,
The value of the business is the desired value.
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| CN101726678A (en) * | 2008-10-30 | 2010-06-09 | 华北电力科学研究院有限责任公司 | Electricity quality evaluation system and method |
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