CN105699806A - A multi-source harmonic wave responsibility division method - Google Patents
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Abstract
The invention provides a multi-source harmonic wave responsibility division method. The method comprises the steps of carrying out uninterrupted sampling on harmonic data; carrying out harmonic index factor calculating on data acquired every three hours; setting a domain of discourse according to harmonic index factors; selecting a harmonic wave responsibility evaluation method; carrying out dynamic weight determining on the harmonic wave responsibility evaluation method; carrying out evaluation on harmonic wave responsibility of each feed line according to the harmonic wave responsibility evaluation method; according to a harmonic wave responsibility evaluation result, carrying out rank ordering on the harmonic wave pollution responsibilities to form a linear order; determining whether present responsibility evaluation reaches 8 times; the Borda numbers of elements in the domain of discourse L are calculated; and selecting the feed line corresponding to the largest Borda number to be the harmonic wave source with the largest pollution responsibility; etc. The multi-source harmonic wave responsibility division method provided by the invention is based on a responsibility division method which is based on a fuzzy opinion centralized decision method. The calculating is simple and is easy to carry out. The accuracy is high. Conditions of misjudgement occurring in some classic and improved statistical methods can be overcome to enable the evaluation result to be more scientific and reasonable.
Description
Technical field
The present invention relates to harmonic contributions division methods technical field, more specifically, relate to a kind of multi-source harmonic contributions division methods。
Background technology
Due to the development of Power Electronic Technique, the jumbo nonlinear-load such as rectifying installation, electric arc furnace, electric railway increases day by day so that the harmonic pollution situation in electrical network is on the rise, and harmonic content is continuously increased, and produces harmonic pollution。And the harmonic current caused by harmonic pollution, transmission line of electricity can produce additional energy consumption, increase line loss；The harmonic impedance of circuit increases because of higher hamonic wave, the existence of m-Acetyl chlorophosphonazo；Harmonic current makes the copper loss of transformator increase, and causes transformator concussion and heating；Also can affect the accuracy of electric energy metrical；Harmonic voltage makes the magnetic hysteresis of transformator and eddy-current loss increase, and increases the electric stress that insulant bears, necessarily reduces the service life of transformator, if communication line and electric lines of force couple, harmonic wave can have a strong impact on communication quality。Electrical network power quality problem not only influences whether power system itself, but also has influence on power consumer and relevant industries etc.。Along with the extensive application to the sensitive electrical equipment of the quality of power supply such as computer, switch, the network equipment, numerical control device, semiconductor manufacturing facility, armarium, people are also more and more higher to the requirement of the quality of power supply。
The electrical equipment of quality of power supply contamination hazard user, affects the product quality that power consumer produces, cause the user heavy losses。Owing to lacking effective electric energy quality monitoring means and higher accuracy of detection so that operation of power networks exists very big potential safety hazard, the quality of power supply also is difficult to make user satisfied。This is accomplished by power department and accurately grasps quality of power supply situation in real time, and the quality of power supply meets the requirement of relevant criterion to take corresponding measure to guarantee in time。Harmonic wave identification technique is to improving the quality of power supply fast and accurately, it is ensured that safe and stable, the economical operation of electrical network and electrical equipment and various consuming device, ensures normally producing and living significant of user。
At present, harmonic impedance evaluation method has dualistic linear regression, robustness regression method, partial least square method。Wherein, dualistic linear regression can reflect when user side acts on system side harmonic disturbance simultaneously, the harmonic emission level of user side and system side, shortcoming is that the method utilizes least-squares estimation, easily by the interference of abnormal data, regression equation lacks robustness, it is impossible to the resistive component in computing system harmonic wave complex impedance, simultaneously that the coherence request of data statistics is higher。Robustness regression method is weighted by processing on the basis of dualistic linear regression, it is possible to effectively removes some singular values, but the dependency of variable is not analyzed in statistical property, still can serve error by band on data process。Partial least square method can overcome the harmful effect in system modelling process of the variable multiple correlation preferably, but finds in practice, and it is not all effective for all of Problems of Multiple Synteny。Therefore, in practice, above-mentioned harmonic impedance evaluation method all there will be the situation of erroneous judgement, thus can accurately harmonic impedance do not estimated。
Summary of the invention
It is an object of the invention to provide a kind of multi-source harmonic contributions division methods, with the problem that the existing harmonic impedance evaluation method solved described in background technology all there will be erroneous judgement。
In order to solve above-mentioned technical problem, the present invention provides following technical scheme:
A kind of multi-source harmonic contributions division methods, described division methods comprises the following steps:
S01: harmonic data is carried out continual continuous sampling；
S02: every data gathered for 3 hours are carried out PCC place harmonic wave index factor liCalculate；
S03: according to harmonic wave index factor liSet domain L；
S04: selected harmonic Responsibility assessment method；
S05: according to the data characteristics in domain L, the harmonic contributions evaluation methodology in step S04 is carried out dynamic weight index wi；
S06: each feeder line harmonic contributions is evaluated according to different harmonic contributions evaluation methodologys；
S07: the harmonic pollution responsibility of each feeder line in PCC place is ranked up according to harmonic contributions evaluation result, forms linear order Ψi；
S08: judge whether current Responsibility assessment reaches 8 times；
S09: if current Responsibility assessment reaches 8 times, then calculate the Borda number of element in domain L；
S10: the selected maximum feeder line corresponding to Borda number is the harmonic source that this liability for polution is maximum；
S11: algorithm terminates。
Preferably, each harmonic wave index factor l described in step S02iFor:WhereinIt is that harmonic-producing load i produces harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle。
Preferably, domain L described in step S03 is: L={l1,l2,...,ln, wherein, n is the number of harmonic wave index factor。
Preferably, harmonic contributions evaluation methodology described in step S04 includes dualistic linear regression, robustness regression method and partial least square method。
Preferably, dynamic weight index w described in step S05iIncluding:Wherein, t ∈ domain L；M is expressed as m kind harmonic contributions evaluation methodology, Rt1i,t2iIt is expressed as the relative adaptability degrees of any two kinds of harmonic contributions evaluation methodologys。
Preferably, the relative adaptability degrees R of the two harmonic contributions evaluation methodologyt1i,t2iFor: Rt1i,t2i=| RIt1i-RIt2i|, wherein RIt1iAnd RIt2iIt is expressed as any time any two kinds of harmonic contributions evaluation methodologys Responsibility assessment result to certain harmonic load。
Preferably, judge described in step S08 whether current Responsibility assessment reaches 8 times and be: every data gathered for 3 hours are carried out first harmonic Responsibility assessment, it is judged that when before harmonic wave Responsibility assessment when 24 is little within whether reach 8 times。
Preferably, Borda number described in step S09 is R (t), described inWherein wiDynamic weight index, RiT () is at linear order ΨiIn come the number of t result of calculation below, t ∈ domain L。
Preferably, algorithm terminates。
Multi-source harmonic contributions division methods provided by the invention comprises the following steps: S01: harmonic data is carried out continual continuous sampling；S02: every data gathered for 3 hours are carried out PCC place harmonic wave index factor liCalculate；S03: according to harmonic wave index factor liSet domain L；S04: selected harmonic Responsibility assessment method；S05: according to the data characteristics in domain L, the harmonic contributions evaluation methodology in step S04 is carried out dynamic weight index wi；S06: each feeder line harmonic contributions is evaluated according to different harmonic contributions evaluation methodologys；S07: the harmonic pollution responsibility of each feeder line in PCC place is ranked up according to harmonic contributions evaluation result, forms linear order Ψi；S08: judge whether current Responsibility assessment reaches 8 times；S09: if current Responsibility assessment reaches 8 times, then calculate the Borda number of element in domain L；S10: the selected maximum feeder line corresponding to Borda number is the harmonic source that this liability for polution is maximum；S11 algorithm terminates。Multi-source harmonic contributions division methods provided by the invention is based on the divisions of responsibility method of fuzzy Idea synthesized Decision Method, and according to the comprehensive as much as possible dualistic linear regression of feature of harmonic source sample data, robustness regression method and partial least square method, and give different evaluation weight for it, can not only accurately grasp the information of problem main part, the abundant excavation to nonbody information will not be ignored again so that evaluation result is accurately reasonable simultaneously。
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme in the embodiment of the present invention, below the accompanying drawing used required during embodiment is described is briefly described, apparently, for those of ordinary skills, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings。
Fig. 1 is the schematic flow sheet of the multi-source harmonic contributions division methods that the embodiment of the present invention provides。
Detailed description of the invention
The multi-source harmonic contributions division methods that the embodiment of the present invention provides, solves the problem that existing harmonic impedance evaluation method all there will be erroneous judgement。
In order to make those skilled in the art be more fully understood that the technical scheme in the embodiment of the present invention, and it is understandable to enable the above-mentioned purpose of the embodiment of the present invention, feature and advantage to become apparent from, below in conjunction with accompanying drawing, the technical scheme in the embodiment of the present invention is described in further detail。
Fuzzy Idea synthesized decision method is important fuzzy mathematics method, and fuzzy Decision Making Method is had complaints concentric method, paried comparison method, Comprehensive Evaluation etc., and the present invention adopts the weighting Borda method in Idea synthesized method。Weighting Borda method basic thought is: set domain U={u1, u2 ..., un} is the set that participative decision making is evaluated, and is ranked up by element in U, expert group M=m people, delivers m kind suggestion, be designated as V={v1, v2 ..., vm}。Wherein vi is i-th kind of suggestion sequence, i.e. a certain sequence of element in U。Making u ∈ U, Bi (u) represent in i-th kind of suggestion sequence vi and come the element number after U, even u comes kth position in i-th kind of suggestion vi, then Bi (u)=n-k。
ClaimRipple for u reaches Borda number。If the importance of evaluation opinion is different, it is possible to compose weight, then seek weighting Borda numberThe all elements of each domain U can line up a linear order by the size of weighting Borda number, and this sequence is exactly a rational suggestion of comparison after concentrating suggestion, can separate the quality of element in domain, successively according to ranking results。
Refer to accompanying drawing 1, accompanying drawing 1 illustrates the schematic flow sheet of the multi-source harmonic contributions division methods that the embodiment of the present invention provides。
The multi-source harmonic contributions division methods that the embodiment of the present invention provides is a kind of divisions of responsibility method based on above-mentioned fuzzy Idea synthesized Decision Method。The multi-source harmonic contributions division methods that the embodiment of the present invention provides comprises the following steps:
S01: harmonic data is carried out continual continuous sampling；
S02: every data gathered for 3 hours are carried out PCC place harmonic wave index factor liCalculate；
S03: according to harmonic wave index factor liSet domain L；
S04: selected harmonic Responsibility assessment method；
S05: according to the data characteristics in domain L, the harmonic contributions evaluation methodology in step S04 is carried out dynamic weight index wi；
S06: each feeder line harmonic contributions is evaluated according to different harmonic contributions evaluation methodologys；
S07: the harmonic pollution responsibility of each feeder line in PCC place is ranked up according to harmonic contributions evaluation result, forms linear order Ψi；
S08: judge whether current Responsibility assessment reaches 8 times
S09: if current Responsibility assessment reaches 8 times, then calculate the Borda number of element in domain L；
S10: the selected maximum feeder line corresponding to Borda number is the harmonic source that this liability for polution is maximum；
S11: algorithm terminates。
Further, each harmonic wave index factor l described in step S02iFor:WhereinIt is that harmonic-producing load i produces harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle。
Further, domain L described in step S03 is: L={l1,l2,...,ln, wherein, n is the number of harmonic wave index factor。
Further, harmonic contributions evaluation methodology described in step S04 includes dualistic linear regression, robustness regression method and partial least square method。
Further, dynamic weight index w described in step S05iIncluding:Wherein, t ∈ domain L；M is expressed as m kind harmonic contributions evaluation methodology, Rt1i,t2iIt is expressed as the relative adaptability degrees of any two kinds of harmonic contributions evaluation methodologys。
Further, the relative adaptability degrees R of the two harmonic contributions evaluation methodologyt1i,t2iFor: Rt1i,t2i=| RIt1i-RIt2i|, wherein RIt1iAnd RIt2iIt is expressed as any time any two kinds of harmonic contributions evaluation methodologys Responsibility assessment result to certain harmonic load。
Further, judge described in step S08 whether current Responsibility assessment reaches 8 times and be: every data gathered for 3 hours are carried out first harmonic Responsibility assessment, it is judged that when before harmonic wave Responsibility assessment when 24 is little within whether reach 8 times。
Further, Borda number described in step S08 is R (t), described inWherein wiDynamic weight index, RiT () is at linear order ΨiIn come the number of t result of calculation below, t ∈ domain L。
The multi-source harmonic contributions division methods that the embodiment of the present invention provides is specifically described as:
S01: harmonic data is carried out continual continuous sampling in 24 hours。
S02: every data gathered for 3 hours are carried out PCC place harmonic wave index factor liCalculate, liComputing formula beWhereinIt is that harmonic-producing load i produces harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle。
S03: according to above-mentioned n harmonic wave index factor liSet domain L, and domain L is: L={l1,l2,...,ln}。
S04: select dualistic linear regression, robustness regression method and partial least square method as the harmonic contributions evaluation methodology in the embodiment of the present invention。
S05: when data without exception interference in domain L, it is adaptable to bilinear regression method；When domain L has exceptional data point, can preferentially adopt robustness regression method at bilinear regression method；When data exist multiple correlation in domain L, employing partial least square method can be paid the utmost attention to, according to the data characteristics in above-mentioned domain L, the harmonic contributions evaluation methodology of dualistic linear regression, robustness regression method and partial least square method be carried out dynamic weight index wi, dynamic weight index wiComputing formula beWherein, t ∈ domain L；M is expressed as m kind harmonic contributions evaluation methodology, Rt1i,t2iIt is expressed as the relative adaptability degrees of any two kinds of harmonic contributions evaluation methodologys。Owing to the harmonic contributions evaluation methodology in the multi-source harmonic contributions division methods that the embodiment of the present invention provides is dualistic linear regression, robustness regression method and partial least square method, therefore, now m=3。But the embodiment of the present invention provide harmonic contributions evaluation methodology be not limited to dualistic linear regression, robustness regression method and partial least square method these three method, any other harmonic contributions evaluation methodology use this multi-source harmonic contributions division methods all in protection scope of the present invention。
Further, the relative adaptability degrees R of any two kinds of harmonic contributions evaluation methodologyst1i,t2iFor: Rt1i,t2i=| RIt1i-RIt2i|, wherein RIt1iAnd RIt2iBeing expressed as any time any two kinds of harmonic contributions evaluation methodologys Responsibility assessment result to certain harmonic load, the computing formula of Responsibility assessment adopts computational methods comparatively ripe in regression algorithm, as
S06: the harmonic contributions of each feeder line is evaluated according to above-mentioned different harmonic contributions evaluation methodology。
S07: the harmonic pollution responsibility locating each feeder line is ranked up according to above-mentioned harmonic contributions evaluation result PCC, forms linear order Ψi。
S08: every data gathered for 3 hours are carried out first harmonic Responsibility assessment, it is judged that when before harmonic wave Responsibility assessment when 24 is little within whether reach 8 times。
S09: if when before harmonic wave Responsibility assessment when 24 is little within reach 8 times, then calculate Borda number R (t) of element in domain L, namely calculate t score summation in each sequence。The computing formula of R (t) isWherein wiDynamic weight index, RiT () is at linear order ΨiIn come the number of t result of calculation below, t ∈ domain L, m are linear order ΨiNumber。When t is at sequence ΨiDuring middle row's kth name, then, RiT ()=n-k, namely t is at linear orderΨiIn score。
If when before harmonic wave Responsibility assessment when 24 is little within not up to 8 times, then continue every data gathered for 3 hours are carried out by step S02 PCC place harmonic wave index factor liCalculate, until when before harmonic wave Responsibility assessment when 24 is little within reach 8 times。
S10: the selected maximum feeder line corresponding to Borda number is the harmonic source that this liability for polution is maximum。
S11: algorithm terminates。
The multi-source harmonic contributions division methods that the embodiment of the present invention provides is based on the divisions of responsibility method of fuzzy Idea synthesized Decision Method, and according to the feature in the comprehensive as much as possible dualistic linear regression of feature of harmonic source sample data, robustness regression method and partial least square method, and give different evaluation weight for it, this can not only accurately grasp the information of problem main part, and the abundant excavation to nonbody information will not be ignored again so that evaluation result is accurately reasonable。
Invention described above embodiment, is not intended that limiting the scope of the present invention。Any amendment, equivalent replacement and improvement etc. made within the spirit and principles in the present invention, should be included within protection scope of the present invention。
Claims (8)
1. a multi-source harmonic contributions division methods, it is characterised in that described division methods comprises the following steps:
S01: harmonic data is carried out continual continuous sampling；
S02: every data gathered for 3 hours are carried out PCC place harmonic wave index factor liCalculate；
S03: according to harmonic wave index factor liSet domain L；
S04: selected harmonic Responsibility assessment method；
S05: according to the data characteristics in domain L, the harmonic contributions evaluation methodology in step S04 is carried out dynamic weight index wi；
S06: each feeder line harmonic contributions is evaluated according to different harmonic contributions evaluation methodologys；
S07: the harmonic pollution responsibility of each feeder line in PCC place is ranked up according to harmonic contributions evaluation result, forms linear order Ψi；
S08: judge whether current Responsibility assessment reaches 8 times；
S09: if current Responsibility assessment reaches 8 times, then calculate the Borda number of element in domain L；
S10: the selected maximum feeder line corresponding to Borda number is the harmonic source that this liability for polution is maximum；
S11: algorithm terminates。
2. multi-source harmonic contributions division methods according to claim 1, it is characterised in that each harmonic wave index factor l described in step S02iFor:WhereinIt is that harmonic-producing load i produces harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle。
3. multi-source harmonic contributions division methods according to claim 1, it is characterised in that domain L described in step S03 is: L={l1,l2,...,ln, wherein, n is the number of harmonic wave index factor。
4. multi-source harmonic contributions division methods according to claim 1, it is characterised in that harmonic contributions evaluation methodology described in step S04 includes dualistic linear regression, robustness regression method and partial least square method。
5. multi-source harmonic contributions division methods according to claim 1, it is characterised in that dynamic weight index w described in step S05iIncluding:Wherein, t ∈ domain L；M is expressed as m kind harmonic contributions evaluation methodology, Rt1i,t2iIt is expressed as the relative adaptability degrees of any two kinds of harmonic contributions evaluation methodologys。
6. multi-source harmonic contributions division methods according to claim 5, it is characterised in that the relative adaptability degrees R of the two harmonic contributions evaluation methodologyt1i,t2iFor: Rt1i,t2i=| RIt1i-RIt2i|, wherein RIt1iAnd RIt2iIt is expressed as any time any two kinds of harmonic contributions evaluation methodologys Responsibility assessment result to certain harmonic load。
7. multi-source harmonic contributions division methods according to claim 1, it is characterized in that, judge described in step S08 whether current Responsibility assessment reaches 8 times and be: every data gathered for 3 hours are carried out first harmonic Responsibility assessment, it is judged that when before harmonic wave Responsibility assessment when 24 is little within whether reach 8 times。
8. multi-source harmonic contributions division methods according to claim 1, it is characterised in that Borda number described in step S09 is R (t), described inWherein wiDynamic weight index, RiT () is at linear order ΨiIn come the number of t result of calculation below, t ∈ domain L。
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| CN108169585A (en) * | 2017-11-28 | 2018-06-15 | 国电南瑞科技股份有限公司 | One kind prejudges other division of responsibiltiy engineering method based on harmonic source |
| CN108169585B (en) * | 2017-11-28 | 2019-08-09 | 国电南瑞科技股份有限公司 | One kind prejudging other division of responsibiltiy engineering method based on harmonic source |
| CN110927491A (en) * | 2019-12-03 | 2020-03-27 | 南方电网科学研究院有限责任公司 | Multi-harmonic source responsibility division method and device based on phase-free data |
| CN110927491B (en) * | 2019-12-03 | 2021-07-20 | 南方电网科学研究院有限责任公司 | Multi-harmonic source responsibility division method and device based on phase-free data |
| CN111898499A (en) * | 2020-07-17 | 2020-11-06 | 东南大学 | Multi-harmonic source harmonic responsibility division method based on mutual approximation entropy and clustering |
| CN112101806A (en) * | 2020-09-22 | 2020-12-18 | 厦门理工学院 | Harmonic responsibility evaluation method, terminal equipment and storage medium |
| CN112858782A (en) * | 2021-01-07 | 2021-05-28 | 国网河南省电力公司电力科学研究院 | Harmonic responsibility quantification method and system under influence of multi-user interaction of power system |
| CN112858782B (en) * | 2021-01-07 | 2022-04-26 | 国网河南省电力公司电力科学研究院 | Harmonic responsibility quantification method and system under influence of multi-user interaction of power system |
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