CN105699806B - A kind of multi-source harmonic contributions division methods - Google Patents
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Abstract
The present invention provides a kind of multi-source harmonic contributions division methods, the division methods include uninterruptedly sampling harmonic data；Harmonic wave index factor calculating is carried out to the data of acquisition in every 3 hours；Domain is set according to harmonic wave index factor；Selected harmonic Responsibility assessment method；Dynamic weight index is carried out to harmonic contributions evaluation method；Each feeder line harmonic contributions are evaluated according to harmonic contributions evaluation method；It is ranked up according to harmonic contributions evaluation result harmonic pollution responsibility, forms linear order；Judge whether current Responsibility assessment reaches 8 times；Calculate the Borda numbers of element in domain L；Select the harmonic source of feeder line corresponding to maximum Borda numbers for this liability for polution maximum.Multi-source harmonic contributions division methods provided by the invention are the divisions of responsibility methods based on fuzzy Idea synthesized Decision Method, simple operation is easy, accuracy rate is high, some can be overcome classical and improved in statistical method erroneous judgement situation occurs so that evaluation result is more scientific rationally.
Description
Technical field
The present invention relates to harmonic contributions division methods technical fields, more specifically, are related to a kind of multi-source harmonic contributions
Division methods.
Background technology
Due to the development of Power Electronic Technique, the nonlinear-load of the large capacities such as rectifier equipment, electric arc furnaces, electric railway
Increasingly increase so that the harmonic pollution situation in power grid is on the rise, and harmonic content is continuously increased, and generates harmonic pollution.And
Harmonic current caused by harmonic pollution can generate additional energy consumption on transmission line of electricity, increase line loss；The harmonic impedance of circuit because
Higher hamonic wave, m-Acetyl chlorophosphonazo presence and increase；Harmonic current increases the copper loss of transformer, and transformer is caused to shake and generate heat；
The accuracy of electrical energy measurement can also be influenced；Harmonic voltage increases the magnetic hysteresis of transformer and eddy-current loss, increases insulating materials
The electrical stress born necessarily reduces the service life of transformer, if communication line and power line couple, harmonic wave can be tight
Ghost image rings communication quality.Power grid power quality problem not only influences whether electric system in itself, but also also affects power consumer
With relevant industries etc..With computer, interchanger, the network equipment, numerical control device, semiconductor manufacturing facility, Medical Devices etc. pair
The extensive application of the electrical equipment of power quality sensitivity, requirement of the people to power quality are also higher and higher.
The electrical equipment of power quality contamination hazard user influences the product quality of power consumer production, is caused to user
Heavy losses.Due to lacking effective electric energy quality monitoring means and higher accuracy of detection so that operation of power networks presence is very big
Security risk, power quality also is difficult to be satisfied with user.This just needs power department accurately to grasp power quality situation in real time,
And corresponding measure is taken to ensure that power quality meets the requirement of relevant criterion in time.Fast and accurately harmonic wave identification technique is to carrying
High power quality ensures safe and stable, the economical operation of power grid and electrical equipment and various consuming devices, ensures user just
Often production and life are of great significance.
At present, harmonic impedance evaluation method has dualistic linear regression, robustness regression method, Partial Least Squares.Wherein, two
First linear regression method can reflect that, when user side and system side harmonic disturbance act on simultaneously, the harmonic wave of user side and system side is sent out
Jetting is put down, and shortcoming is that this method utilizes least-squares estimation, is easily interfered by abnormal data, and regression equation lacks robustness,
Resistive component that can not be in computing system harmonic wave complex impedance, at the same it is higher to the coherence request of data statistics.It is steady to return
Method is returned to be handled on the basis of dualistic linear regression by weighting, some singular values can be effectively removed, but it is special in statistics
The correlation of variable is not analyzed in property, some errors still can be brought in data processing.Partial Least Squares energy
Preferably overcome harmful effect of the variable multiple correlation during system modelling, but found in practice, it is not
It is all effective for all Problems of Multiple Synteny.Therefore, in practice, above-mentioned harmonic impedance evaluation method will appear
The situation of erroneous judgement, so as to estimate harmonic impedance.
Invention content
The object of the present invention is to provide a kind of multi-source harmonic contributions division methods, existing humorous described in background technology to solve
Wave impedance evaluation method will appear the problem of erroneous judgement.
In order to solve the above technical problem, the present invention provides following technical solutions：
A kind of multi-source harmonic contributions division methods, the division methods include the following steps：
S01：Continual continuous sampling is carried out to harmonic data；
S02：Harmonic wave index factor l at PCC is carried out to every data acquired for 3 hoursiIt calculates；
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, dynamic weight index is carried out to the harmonic contributions evaluation method in step S04
wi；
S06：Each feeder line harmonic contributions are evaluated according to different harmonic contributions evaluation methods；
S07：The harmonic pollution responsibility of feeder line each at PCC is ranked up according to harmonic contributions evaluation result, is formed linear
Sequence Ψi；
S08：Judge whether current Responsibility assessment reaches 8 times；
S09：If current Responsibility assessment reaches 8 times, the Borda numbers of element in domain L are calculated；
S10：Select the harmonic source that the feeder line corresponding to maximum Borda numbers is this liability for polution maximum；
S11：Algorithm terminates.
Preferably, each harmonic wave index factor l described in step S02iFor：WhereinIt is that harmonic source is born
Lotus i generates 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 of harmonic wave index factor
Number.
Preferably, harmonic contributions evaluation method described in step S04 include dualistic linear regression, robustness regression method and partially
Least square method.
Preferably, dynamic weight index w described in step S05iIncluding：Wherein, m
It is expressed as m kind harmonic contributions evaluation methods, Rt1i,t2iIt is expressed as the relative adaptability degrees of arbitrary two kinds of harmonic contributions evaluation methods.
Preferably, the relative adaptability degrees R of described two harmonic contributions evaluation methodst1i,t2iFor：Rt1i,t2i=| RIt1i-RIt2i
|, wherein RIt1iAnd RIt2iIt is expressed as Responsibility assessment of any time arbitrary two kinds of harmonic contributions evaluation methods to certain harmonic load
As a result.
Preferably, judge whether current Responsibility assessment reaches 8 times and be described in step S08：To every 3 hours numbers acquired
According to carry out first harmonic Responsibility assessment, judge when before harmonic wave Responsibility assessment when 24 is small within whether reach 8 times.
Preferably, Borda numbers described in step S09 are R (t), describedWherein wiDynamic weight index, Ri
(t) it is in linear order ΨiIn come the number of result of calculation behind t, t ∈ domains L.
Preferably, algorithm terminates.
Multi-source harmonic contributions division methods provided by the invention include the following steps：S01：Harmonic data is carried out uninterrupted
Continuous sampling；S02：Harmonic wave index factor l at PCC is carried out to every data acquired for 3 hoursiIt calculates；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, to step
Harmonic contributions evaluation method in S04 carries out dynamic weight index wi；S06：It is humorous to each feeder line according to different harmonic contributions evaluation methods
Wave responsibility is evaluated；S07：The harmonic pollution responsibility of feeder line each at PCC is ranked up according to harmonic contributions evaluation result, shape
Linear sequence Ψi；S08：Judge whether current Responsibility assessment reaches 8 times；S09：If current Responsibility assessment reaches 8 times, calculate
The Borda numbers of element in domain L；S10：It is the humorous of this liability for polution maximum to select the feeder line corresponding to maximum Borda numbers
Wave source；S11 algorithms terminate.Multi-source harmonic contributions division methods provided by the invention are the duties based on fuzzy Idea synthesized Decision Method
Appoint division methods, and according to the characteristics of harmonic source sample data dualistic linear regression comprehensive as far as possible, robustness regression method and
Partial Least Squares, and different evaluation weights is assigned for it, the information of problem main part can not only be accurately grasped, simultaneously
The abundant excavation to nonbody information will not be ignored again so that evaluation result is accurately reasonable.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, for those of ordinary skills, do not making the creative labor
Under the premise of, it can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is the flow diagram of multi-source harmonic contributions division methods provided in an embodiment of the present invention.
Specific embodiment
Multi-source harmonic contributions division methods provided in an embodiment of the present invention solve existing harmonic impedance evaluation method and can
The problem of judging by accident.
In order to which those skilled in the art is made to more fully understand the technical solution in the embodiment of the present invention, and make of the invention real
Apply the above-mentioned purpose of example, feature and advantage can be more obvious understandable, below in conjunction with the accompanying drawings to the technology in the embodiment of the present invention
Scheme is described in further detail.
Fuzzy Idea synthesized decision-making technique is important fuzzy mathematics method, and fuzzy Decision Making Method is had complaints concentric method, two
First method of comparison, Comprehensive Evaluation etc., the present invention is using the weighting Borda methods in Idea synthesized method.Weight Borda method basic thoughts
It is：If domain U={ u1, u2 ..., un } is the set of participative decision making evaluation, i.e., element in U is ranked up, expert group M=m
People delivers m kind opinions, is denoted as V={ v1, v2 ..., vm }.Wherein vi is i-th kind of opinion sequence, i.e. a certain row of element in U
Sequence.U ∈ U, Bi (u) is enabled to represent to come the element number after U in i-th kind of opinion sequence vi, even u is in i-th kind of opinion vi
Kth position is come, then Bi (u)=n-k.
ClaimWave for u reaches Borda numbers.If the importance of evaluation opinion is different, weight can be assigned, then ask
Weight Borda numbersThe all elements of each domain U can line up one linearly by the size of weighting Borda numbers
Sequence, this sequence are exactly the rational opinion of comparison concentrated after opinion, and element in domain can be separated according to ranking results
Quality, priority.
Attached drawing 1 is please referred to, attached drawing 1 shows that the flow of multi-source harmonic contributions division methods provided in an embodiment of the present invention is shown
It is intended to.
Multi-source harmonic contributions division methods provided in an embodiment of the present invention are a kind of based on above-mentioned fuzzy Idea synthesized decision
The divisions of responsibility method of method.Multi-source harmonic contributions division methods provided in an embodiment of the present invention include the following steps：
S01：Continual continuous sampling is carried out to harmonic data；
S02：Harmonic wave index factor l at PCC is carried out to every data acquired for 3 hoursiIt calculates；
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, dynamic weight index is carried out to the harmonic contributions evaluation method in step S04
wi；
S06：Each feeder line harmonic contributions are evaluated according to different harmonic contributions evaluation methods；
S07：The harmonic pollution responsibility of feeder line each at PCC is ranked up according to harmonic contributions evaluation result, is formed linear
Sequence Ψi；
S08：Judge whether current Responsibility assessment reaches 8 times
S09：If current Responsibility assessment reaches 8 times, the Borda numbers of element in domain L are calculated；
S10：Select the harmonic source that the feeder line corresponding to maximum Borda numbers is this liability for polution maximum；
S11：Algorithm terminates.
Further, each harmonic wave index factor l described in step S02iFor：WhereinIt is that harmonic source is born
Lotus i generates 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 of harmonic wave index factor
Number.
Further, harmonic contributions evaluation method described in step S04 include dualistic linear regression, robustness regression method and partially
Least square method.
Further, dynamic weight index w described in step S05iIncluding：Wherein, m
It is expressed as m kind harmonic contributions evaluation methods, Rt1i,t2iIt is expressed as the relative adaptability degrees of arbitrary two kinds of harmonic contributions evaluation methods.
Further, the relative adaptability degrees R of described two harmonic contributions evaluation methodst1i,t2iFor：Rt1i,t2i=| RIt1i-RIt2i
|, wherein RIt1iAnd RIt2iIt is expressed as Responsibility assessment of any time arbitrary two kinds of harmonic contributions evaluation methods to certain harmonic load
As a result.
Further, judge whether current Responsibility assessment reaches 8 times and be described in step S08：To every 3 hours numbers acquired
According to carry out first harmonic Responsibility assessment, judge when before harmonic wave Responsibility assessment when 24 is small within whether reach 8 times.
Further, Borda numbers described in step S08 are R (t), describedWherein wiDynamic weight index, Ri
(t) it is in linear order ΨiIn come the number of result of calculation behind t, t ∈ domains L.
Multi-source harmonic contributions division methods provided in an embodiment of the present invention are specifically described as：
S01：Continual continuous sampling in 24 hours is carried out to harmonic data.
S02：Harmonic wave index factor l at PCC is carried out to every data acquired for 3 hoursiIt calculates, liCalculation formula beWhereinIt is that harmonic-producing load i generates harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle.
S03：According to above-mentioned n harmonic wave index factor liDomain L is set, and domain L is：L={ l1,l2,...,ln}。
S04：Dualistic linear regression, robustness regression method and Partial Least Squares are selected as humorous in the embodiment of the present invention
Wave Responsibility assessment method.
S05：When being no different regular data interference in domain L, suitable for bilinear regression method；When having abnormal data in domain L
It, can be preferentially using robustness regression method in bilinear regression method during point；When data, can be preferential there are during multiple correlation in domain L
Be considered as Partial Least Squares, according to the data characteristics in above-mentioned domain L, to dualistic linear regression, robustness regression method and
The harmonic contributions evaluation method of Partial Least Squares carries out dynamic weight index wi, dynamic weight index wiCalculation formula beWherein, m is expressed as m kind harmonic contributions evaluation methods, Rt1i,t2iIt is expressed as arbitrary
The relative adaptability degrees of two kinds of harmonic contributions evaluation methods.Due in multi-source harmonic contributions division methods provided in an embodiment of the present invention
Harmonic contributions evaluation method for dualistic linear regression, robustness regression method and Partial Least Squares, therefore, m=3 at this time.But
Harmonic contributions evaluation method provided in an embodiment of the present invention is not limited to dualistic linear regression, robustness regression method and partially minimum
These three methods of square law, any other harmonic contributions evaluation method is using this multi-source harmonic contributions division methods in this hair
In bright protection domain.
Further, the relative adaptability degrees R of arbitrary two kinds of harmonic contributions evaluation methodst1i,t2iFor：Rt1i,t2i=| RIt1i-RIt2i
|, wherein RIt1iAnd RIt2iIt is expressed as Responsibility assessment of any time arbitrary two kinds of harmonic contributions evaluation methods to certain harmonic load
As a result, the calculation formula of Responsibility assessment uses computational methods more mature in regression algorithm, such as
S06：The harmonic contributions of each feeder line are evaluated according to above-mentioned different harmonic contributions evaluation method.
S07：The harmonic pollution responsibility for locating each feeder line is ranked up according to above-mentioned harmonic contributions evaluation result PCC, is formed
Linear order Ψi。
S08：First harmonic Responsibility assessment is carried out to every data acquired for 3 hours, judges that Responsibility assessment exists before harmonic wave
Whether reach within 24 hours 8 times.
S09：If when before harmonic wave Responsibility assessment when 24 is small within reach 8 times, calculate the Borda numbers R of element in domain L
(t), that is, score summations of the t in each sequence is calculated.The calculation formula of R (t) isWherein wiDynamic weight index,
Ri(t) it is in linear order ΨiIn come the number of result of calculation behind t, t ∈ domains L, m are linear order ΨiNumber.Work as t
In sequence ΨiDuring middle row's kth name, then, and Ri(t)=n-k, i.e. t are in linear order ΨiIn score.
If when before harmonic wave Responsibility assessment when 24 is small within not up to 8 times, continue to adopt every 3 hours in step S02
The data of collection carry out harmonic wave index factor l at PCCiCalculate, until before harmonic wave Responsibility assessment when 24 is small within reach 8 times and be
Only.
S10：Select the harmonic source that the feeder line corresponding to maximum Borda numbers is this liability for polution maximum.
S11：Algorithm terminates.
Multi-source harmonic contributions division methods provided in an embodiment of the present invention are the responsibilities based on fuzzy Idea synthesized Decision Method
Division methods, and dualistic linear regression comprehensive as far as possible, robustness regression method and partially according to the characteristics of harmonic source sample data
The characteristics of in least square method, and different evaluation weights is assigned for it, this can not only accurately grasp problem main part
Information, and the abundant excavation to nonbody information will not be ignored again so that evaluation result is accurately reasonable.
The embodiments of the present invention described above are not intended to limit the scope of the present invention.It is any in the present invention
Spirit and principle within the modifications, equivalent substitutions and improvements made etc., should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of multi-source harmonic contributions division methods, which is characterized in that the division methods include the following steps：
S01：Continual continuous sampling is carried out to harmonic data；
S02：Harmonic wave index factor l at PCC is carried out to every data acquired for 3 hoursiIt calculates；
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, dynamic weight index w is carried out to the harmonic contributions evaluation method in step S04i；
S06：Each feeder line harmonic contributions are evaluated according to different harmonic contributions evaluation methods；
S07：The harmonic pollution responsibility of feeder line each at PCC 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, the Borda numbers of element in domain L are calculated；
S10：Select the harmonic source that the feeder line corresponding to maximum Borda numbers is this liability for polution maximum；
S11：Algorithm terminates.
2. multi-source harmonic contributions division methods according to claim 1, which is characterized in that each harmonic wave described in step S02
Index factor liFor：WhereinIt is that harmonic-producing load i generates harmonic voltage,It is harmonic distortion voltage,It isWithBetween angle.
3. multi-source harmonic contributions division methods according to claim 2, which is characterized in that domain L described in step S03
For：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, which is characterized in that harmonic wave described in step S04 is blamed
Evaluation method is appointed to include dualistic linear regression, robustness regression method and Partial Least Squares.
5. multi-source harmonic contributions division methods according to claim 1, which is characterized in that dynamically assigned described in step S05
Weigh wiIncluding：Wherein, m is expressed as m kind harmonic contributions evaluation methods, Rt1i,t2iTable
It is shown as the relative adaptability degrees of arbitrary two kinds of harmonic contributions evaluation methods.
6. multi-source harmonic contributions division methods according to claim 5, which is characterized in that described two harmonic contributions evaluations
The relative adaptability degrees R of methodt1i,t2iFor：Rt1i,t2i=| RIt1i-RIt2i|, wherein RIt1iAnd RIt2iIt is arbitrary to be expressed as any time
Two kinds of harmonic contributions evaluation methods are to the Responsibility assessment result of certain harmonic load.
7. multi-source harmonic contributions division methods according to claim 1, which is characterized in that judge to work as described in step S08
Whether preceding Responsibility assessment reaches 8 times：First harmonic Responsibility assessment is carried out to every data acquired for 3 hours, is judged current humorous
Whether wave Responsibility assessment reached 8 times within 24 hours.
8. multi-source harmonic contributions division methods according to claim 1, which is characterized in that Borda numbers described in step S09
It is described for R (t)Wherein wiDynamic weight index, Ri(t) it is in linear order ΨiIn come calculating knot behind t
The number of fruit, t ∈ domains L.
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| 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 |
| 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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