CN105588982A - Measurement and calculation method of harmonic impedance of power system - Google Patents

Measurement and calculation method of harmonic impedance of power system Download PDF

Info

Publication number
CN105588982A
CN105588982A CN201410580371.1A CN201410580371A CN105588982A CN 105588982 A CN105588982 A CN 105588982A CN 201410580371 A CN201410580371 A CN 201410580371A CN 105588982 A CN105588982 A CN 105588982A
Authority
CN
China
Prior art keywords
harmonic
regression
calculate
impedance
voltage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410580371.1A
Other languages
Chinese (zh)
Inventor
窦征
魏华南
褚玉杰
王天啸
任琳琳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Jiaozuo Power Supply Co of State Grid Henan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Jiaozuo Power Supply Co of State Grid Henan Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Jiaozuo Power Supply Co of State Grid Henan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201410580371.1A priority Critical patent/CN105588982A/en
Publication of CN105588982A publication Critical patent/CN105588982A/en
Pending legal-status Critical Current

Links

Landscapes

  • Measurement Of Resistance Or Impedance (AREA)

Abstract

The invention discloses a measurement and calculation method of harmonic impedance of a power system. A complex least square method is introduced into harmonic impedance calculation of a power system and the phasor real and imaginary parts like a measured voltage and a measured current and the like are used as an organic integrated part to carry out calculation, so that an optimized least square solution is obtained. According to the invention, the data processing process is introduced and original data are screened by using a relative-complex-residual-sorting-based method, so that the influence on a regression coefficient by an abnormal point can be effectively eliminated. On the basis of screening of the original data, circulated regressive calculation is carried out by employing a complex field repeated weighting method, so that the influence on the regression coefficient by the strong influence point can be effectively reduced and the regression robustness is enhanced.

Description

A kind of measurement computational methods of Harmonious Waves in Power Systems impedance
Technical field
The present invention relates to the measurement computational methods of harmonic impedance computational methods design field, particularly a kind of Harmonious Waves in Power Systems impedance.
Background technology
Harmonious Waves in Power Systems impedance is to POWER SYSTEM STATE assessment and to access the design of new power equipment very important, plays a part indispensable in the configuration of the electric devices such as power system modeling, emulation and route protection. Simultaneously, along with the development of domestic and international Power Electronic Technique, formed by electronic power switch in a large number, the consumer with nonlinear characteristic is widely used in the demand fields such as metallurgy, iron and steel, traffic, chemical industry, as electrolysis unit, electric locomotive, rolling mill, coreless induction furnace etc., cause Harmonic in Power System problem day by day serious, to harmonic wave relevant issues, if the research of harmonic trend calculating, harmonic wave divisions of responsibility, harmonic emission level, harmonic source identification etc. is the problem that power industry is paid close attention to always. And the Measurement accuracy of system harmonic impedance is research harmonic wave relevant issues basis.
At present, harmonic impedance measurement method of estimation is mainly divided into " intervention formula " and " non-intervention formula " two large classes. " intervention formula " method is mainly to produce disturbance by artificial mode, as to system harmonic electric current or a harmonic current, or carries out the measurement of system side harmonic impedance by a certain branch road of the system of cut-offfing. This disturbance may normally move generation adverse influence to power system, and therefore these class methods can not be used widely. " non-intervention formula " method is to utilize the disturbance of system or harmonic-producing load itself, carries out correlation computations by measurable parameter, can not have influence on safety, the stable operation of system, thereby becomes the main stream approach of current relevant subject study. Typically " non-intervention formula " method has undulate quantity method and linear regression method. Linear regression method is occupying critical role aspect harmonic emission level assessment, is the core of " non-intervention formula " method. Traditional linear regression method comprises binary regression method, robustness regression method and PLS, these methods all do not have the preprocessing process of data, its essence is all that phasor real part, imaginary component are isolated, and utilizes least square method to carry out respectively solving of regression coefficient in real number field. This processing method has been ignored phasor has the entirety of specific physical significance to exist as one, and its solution procedure is not simple addition and the combination of real part, imaginary part result.
Summary of the invention
The object of the invention is to provide a kind of measurement computational methods of Harmonious Waves in Power Systems impedance.
For achieving the above object, the present invention implements according to following technical scheme:
Measurement computational methods for Harmonious Waves in Power Systems impedance, comprise the following steps:
Step 1: gather the busbar voltage instantaneous value of points of common connection and the current instantaneous value of user's injected system, obtain harmonic voltage and harmonic wave electric current phasor data sequence by Fourier transformation, and set up the multiple regression equation of harmonic voltage and harmonic wave electric current phasor;
Step 2: the harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, gets rid of the impact of abnormity point on regression coefficient;
Step 3: on Preliminary screening basis, solving system harmonic impedance regression coefficient; Obtain optimum tax power regression coefficient, and obtain the value of harmonic impedance.
Further, the harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, and described Preliminary screening adopts the method based on residual error sorts relatively again, the multiple residual error column vector of definition,e=[e1,e2,e3…en] ', whereinRefer to not pass through the estimated value of process of data preprocessing regression parameter, Y is the column vector of harmonic voltage phasor data sequence composition, and X is the augmented matrix of harmonic current phasor data sequence composition,For the associate matrix of X; Definition is residual error relatively again,(i=1,2,…,n),ejBe i multiple residual values, YjBe i harmonic voltage phasor, the number that n is column vector; By eriAscending sequence, obtains residual sequence { e relatively againri, delete in the relatively multiple irregular e of afterbody 5%riCorresponding harmonic voltage and harmonic current data, and remaining harmonic voltage and harmonic wave electric current phasor are designated as to Y95%、X95%
Concrete, described solving system harmonic impedance regression coefficient, adopts Ramsay influence function to compose the robustness regression method of the multiple least square of weighting repeatedly of power; Concrete steps are:
A) select remaining harmonic voltage X95%With harmonic current Y95%, according to formula, calculate regression parameterFor X95%Associate matrix;
B) by formula, calculate multiple residual error f=[f1,f2,f3,…,fm] ', i.e. f={fj},(i=1,2,3…,m,m=0.95n);
C) by formulaCalculate Ramsay influence function independent variable, wherein,=1.5med();med() beMedian; By formula, calculate the tax weight function based on Ramsay influence function, wherein a is the adjustment factor of adjusting Ramsay influence function shape;
D) get tax weight functionValue=(i=1,2,3 ..., m), note weight diagonal matrix is W=diag(),(i=1,2,3…,m,m=0.95);
E) by the multiple least-squares calculation formula of weighting:; Calculate the regression parameter of the power of tax,
F) calculate, calculate the difference of adjacent twice regression parameter; Wherein j representative returns computation cycles number of times, and its initial value is 0, in the time of j=0,Be the regression parameter that step a obtains, andIt is the regression parameter that step e obtains;WithIt is all plural number;
G) calculateWithMould valueWith, and judge max{}<Whether set up, if set up, perform step h; Otherwise, order=, return to step b;
H) byCan obtain harmonic impedance
Compared with prior art, beneficial effect of the present invention:
To answer least square method and introduce Calculation of Harmonic Impedances of Power Systems problem, and the phasor real parts such as measuring voltage, measurement electric current and imaginary part be calculated as an organic whole, thereby obtain optimum least square solution. Meanwhile, the present invention introduces data handling procedure, adopts the method based on residual error sequence relatively again to screen original harmonic voltage current data, effectively gets rid of the impact of abnormity point on regression coefficient. On the basis of this original harmonic voltage and harmonic current data screening, adopt complex field repeatedly the method for weighting circulate to return and calculates, effectively reduce the strong impact of point on regression coefficient that affect, increase the robustness of recurrence.
Brief description of the drawings
Fig. 1 is system and user's equivalent circuit schematic diagram of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention;
Fig. 2 is the Calculation of Harmonic Impedances of Power Systems flow chart of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention;
Fig. 3 is the IEEE14 node standard testing system of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention;
Fig. 4 is the 5 subwave electric currents that the harmonic source HL1 of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention injects; Wherein, a is 5 subharmonic current real parts; B is 5 primary current imaginary parts;
Fig. 5 is bus 11 place's 5 subharmonic voltage virtual value curves of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention;
Fig. 6 is the 5 subharmonic current virtual value curves that the harmonic source HL1 of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention injects bus 11.
Detailed description of the invention
Below in conjunction with specific embodiment, the invention will be further described, is used for explaining the present invention in illustrative examples and the explanation of this invention, but not as a limitation of the invention.
The measurement computational methods of a kind of Harmonious Waves in Power Systems impedance as shown in Figure 1 and Figure 2, comprise the following steps:
Step 1: gather the busbar voltage instantaneous value of points of common connection and the current instantaneous value of user's injected system, obtain harmonic voltage and harmonic wave electric current phasor data sequence by Fourier transformation, and set up the multiple regression equation of harmonic voltage and harmonic wave electric current phasor;
Step 2: the harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, gets rid of the impact of abnormity point on regression coefficient;
Step 3: on Preliminary screening basis, solving system harmonic impedance regression coefficient; Obtain optimum tax power regression coefficient, and obtain the value of harmonic impedance.
The harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, and described Preliminary screening adopts the method based on residual error sorts relatively again, the multiple residual error column vector of definition,e=[e1,e2,e3…en] ', whereinRefer to not pass through the estimated value of process of data preprocessing regression parameter, Y is the column vector of harmonic voltage phasor data sequence composition, and X is the augmented matrix of harmonic current phasor data sequence composition,For the associate matrix of X; Definition is residual error relatively again,(i=1,2,…,n),ejBe i multiple residual values, YjBe i harmonic voltage phasor, the number that n is column vector; By eriAscending sequence, obtains residual sequence { e relatively againri, delete in the relatively multiple irregular e of afterbody 5%riCorresponding harmonic voltage and harmonic current data, and remaining harmonic voltage and harmonic wave electric current phasor are designated as to Y95%、X95%
Solving system harmonic impedance regression coefficient, adopts Ramsay influence function to compose the robustness regression method of the multiple least square of weighting repeatedly of power; Concrete steps are:
A) select remaining harmonic voltage X95%With harmonic current Y95%, according to formula, calculate regression parameterFor X95%Associate matrix;
B) by formula, calculate multiple residual error f=[f1,f2,f3,…,fm] ', i.e. f={fj},(i=1,2,3…,m,m=0.95n);
C) by formulaCalculate Ramsay influence function independent variable, wherein,=1.5med();med() beMedian; By formula, calculate the tax weight function based on Ramsay influence function, wherein a is the adjustment factor of adjusting Ramsay influence function shape;
D) get tax weight functionValue=(i=1,2,3 ..., m), note weight diagonal matrix is W=diag(),(i=1,2,3…,m,m=0.95);
E) by the multiple least-squares calculation formula of weighting:; Calculate the regression parameter of the power of tax,
F) calculate, calculate the difference of adjacent twice regression parameter; Wherein j representative returns computation cycles number of times, and its initial value is 0, in the time of j=0,Be the regression parameter that step a obtains, andIt is the regression parameter that step e obtains;WithIt is all plural number;
G) calculateWithMould valueWith, and judge max{}<Whether set up, if set up, perform step h; Otherwise, order=, return to step b;
H) byCan obtain harmonic impedance
Fig. 3 is the IEEE14 node standard testing system of the measurement computational methods of a kind of Harmonious Waves in Power Systems impedance provided by the invention. In Fig. 3, G is generator, and C is phase modifier,Be two-winding transformer, utilize IEEE14 node standard testing system, algorithm proposed by the invention is carried out to simulating, verifying, this test macro is made up of 2 generators, 3 synchronous capacitors, 14 buses, 15 transmission lines of electricity and 3 transformers. Select bus 11 for paying close attention to bus, HL1 and L2 are connect load by bus 11, and wherein HL1 is nonlinear-load, represents Harmonics source customer, and L2 is linear load. Taking bus 11 as public junction bus, load HL1 is considered as separately to user's side, the network remainder of removing load HL1 is considered as to the system side of this simulation example, the system harmonics of the harmonic wave producing while normally work using system side during as problem analysis, this is identical with equivalent circuit shown in Fig. 1. The present invention carries out simulating, verifying as an example of 5 subharmonic example.
One minute 1 sample point in the 5 subharmonic current curves of harmonic source HL1, one day corresponding 1440 point, as shown in Figure 4. Measure bus 11 place's harmonic voltage virtual value curves and harmonic source HL1 inject bus 11 harmonic current virtual value curves respectively as 5 and Fig. 6 as shown in.
Adopt that the present invention proposes based on sane least square method computing system equivalent harmonic wave impedance again, result of calculation is as shown in the table with actual value contrast, symbol "-" represents that this value does not need calculating.
The contrast of table 1 system equivalent harmonic impedance result of calculation
As can be seen from Table 1, steadily and surely least square method can accurate Calculation system equivalent harmonic impedance again.
The emulation experiment of above-mentioned enforcement shows, original harmonic voltage based on residual error sequence relatively again and harmonic current data sequence screening and complex field be the sane least square method again of weighting repeatedly, can effectively eliminate or reduce abnormity point and the impact of strong impact point on regression coefficient, improve system harmonic impedance solving precision.
Technical scheme of the present invention is not limited to the restriction of above-mentioned specific embodiment, and the technology distortion that every technical scheme according to the present invention is made, within all falling into protection scope of the present invention.

Claims (3)

1. measurement computational methods for Harmonious Waves in Power Systems impedance, is characterized in that, comprise the following steps:
Step 1: gather the busbar voltage instantaneous value of points of common connection and the current instantaneous value of user's injected system, obtain harmonic voltage and harmonic wave electric current phasor data sequence by Fourier transformation, and set up the multiple regression equation of harmonic voltage and harmonic wave electric current phasor;
Step 2: the harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, gets rid of the impact of abnormity point on regression coefficient;
Step 3: on Preliminary screening basis, solving system harmonic impedance regression coefficient; Obtain optimum tax power regression coefficient, and obtain the value of harmonic impedance.
2. Calculation of Harmonic Impedances of Power Systems method according to claim 1, it is characterized in that, the harmonic voltage that step 1 is obtained and harmonic wave electric current phasor data sequence are carried out Preliminary screening, and described Preliminary screening adopts the method based on residual error sorts relatively again, the multiple residual error column vector of definition,e=[e1,e2,e3…en] ', whereinRefer to not pass through the estimated value of process of data preprocessing regression parameter, Y is the column vector of harmonic voltage phasor data sequence composition, and X is the augmented matrix of harmonic current phasor data sequence composition,For the associate matrix of X; Definition is residual error relatively again,(i=1,2,…,n),ejBe i multiple residual values, YjBe i harmonic voltage phasor, the number that n is column vector; By eriAscending sequence, obtains residual sequence { e relatively againri, delete in the relatively multiple irregular e of afterbody 5%riCorresponding harmonic voltage and harmonic current data, and remaining harmonic voltage and harmonic wave electric current phasor are designated as to Y95%、X95%
3. the measurement computational methods of Harmonious Waves in Power Systems impedance according to claim 1, is characterized in that, described solving system harmonic impedance regression coefficient adopts Ramsay influence function to compose the robustness regression method of the multiple least square of weighting repeatedly of power; Concrete steps are:
A) select remaining harmonic voltage X95%With harmonic current Y95%, according to formula, calculate regression parameterFor X95%Associate matrix;
B) by formula, calculate multiple residual error f=[f1,f2,f3,…,fm] ', i.e. f={fj},(i=1,2,3…,m,m=0.95n);
C) by formulaCalculate Ramsay influence function independent variable, wherein,=1.5med();med() beMedian; By formula, calculate the tax weight function based on Ramsay influence function, wherein a is the adjustment factor of adjusting Ramsay influence function shape;
D) get tax weight functionValue=(i=1,2,3 ..., m), note weight diagonal matrix is W=diag(),(i=1,2,3…,m,m=0.95);
E) by the multiple least-squares calculation formula of weighting:; Calculate the regression parameter of the power of tax,
F) calculate, calculate the difference of adjacent twice regression parameter; Wherein j representative returns computation cycles number of times, and its initial value is 0, in the time of j=0,Be the regression parameter that step a obtains, andIt is the regression parameter that step e obtains;WithIt is all plural number;
G) calculateWithMould valueWith, and judge max{}<Whether set up, if set up, perform step h; Otherwise, order=, return to step b;
H) byCan obtain harmonic impedance
CN201410580371.1A 2014-10-27 2014-10-27 Measurement and calculation method of harmonic impedance of power system Pending CN105588982A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410580371.1A CN105588982A (en) 2014-10-27 2014-10-27 Measurement and calculation method of harmonic impedance of power system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410580371.1A CN105588982A (en) 2014-10-27 2014-10-27 Measurement and calculation method of harmonic impedance of power system

Publications (1)

Publication Number Publication Date
CN105588982A true CN105588982A (en) 2016-05-18

Family

ID=55928722

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410580371.1A Pending CN105588982A (en) 2014-10-27 2014-10-27 Measurement and calculation method of harmonic impedance of power system

Country Status (1)

Country Link
CN (1) CN105588982A (en)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106019026A (en) * 2016-07-20 2016-10-12 东南大学 Distribution method based on waveform matching for harmonic voltage responsibility
CN106443285A (en) * 2016-11-30 2017-02-22 济南大学 Multi-harmonic-source harmonic contribution quantitative analysis method based on total-least square method
CN106526424A (en) * 2016-11-21 2017-03-22 云南电网有限责任公司电力科学研究院 Power transmission line single-phase ground fault parameter recognition method
CN106771640A (en) * 2017-02-22 2017-05-31 株洲中车时代电气股份有限公司 A kind of quantitative detecting method of power supply system of train equivalent insulaion resistance over the ground
CN107576853A (en) * 2017-07-12 2018-01-12 国网上海市电力公司 Distribution Network Harmonics impedance computation method based on canonical correlation analysis
CN108680788A (en) * 2018-05-29 2018-10-19 广东电网有限责任公司 Harmonic voltage transmission level computational methods and device
CN108846183A (en) * 2018-06-01 2018-11-20 南方电网科学研究院有限责任公司 A kind of harmonic impedance calculation method and system based on private clound
CN109787235A (en) * 2019-01-29 2019-05-21 国网湖南省电力有限公司 Generation of electricity by new energy unit full power range harmonic characterisitic model acquisition methods and system
CN110058084A (en) * 2019-04-15 2019-07-26 南方电网科学研究院有限责任公司 A kind of the harmonic impedance measuring system and method for converter power transformer
CN111077372A (en) * 2019-12-24 2020-04-28 中国南方电网有限责任公司超高压输电公司检修试验中心 Method and system for measuring harmonic impedance of alternating current-direct current power transmission system
CN111413543A (en) * 2020-03-25 2020-07-14 国网河南省电力公司电力科学研究院 Experimental device and method for identifying harmonic resistance parameters of low-voltage distribution line
CN112285421A (en) * 2020-10-16 2021-01-29 国网四川省电力公司电力科学研究院 System side harmonic impedance estimation method based on minimum norm criterion
CN112668134A (en) * 2019-10-14 2021-04-16 中车唐山机车车辆有限公司 Method and device for determining harmonic impedance of traction network and terminal equipment
CN115032458A (en) * 2022-06-02 2022-09-09 北京妙微科技有限公司 Harmonic impedance estimation method based on power grid system and computer storage medium
CN115659849A (en) * 2022-12-09 2023-01-31 南方电网数字电网研究院有限公司 Transient simulation method of power system based on data model hybrid drive

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101706532A (en) * 2009-11-25 2010-05-12 国网电力科学研究院武汉南瑞有限责任公司 Method and device for measuring harmonic impedance
CN101860037A (en) * 2010-05-26 2010-10-13 浙江大学 Determination method of network side harmonic current of high-voltage direct current power transmission system
CN102129015A (en) * 2011-02-21 2011-07-20 华北电力大学(保定) Method for determining branch circuit containing harmonic source at low-voltage side of electric network
CN102749521A (en) * 2012-07-18 2012-10-24 华北电力大学(保定) Method for computing harmonic impedance of power system
CN102998535A (en) * 2012-12-10 2013-03-27 华北电力大学(保定) Method for computing harmonic impedance of system based on maximum likelihood estimation theory

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101706532A (en) * 2009-11-25 2010-05-12 国网电力科学研究院武汉南瑞有限责任公司 Method and device for measuring harmonic impedance
CN101860037A (en) * 2010-05-26 2010-10-13 浙江大学 Determination method of network side harmonic current of high-voltage direct current power transmission system
CN102129015A (en) * 2011-02-21 2011-07-20 华北电力大学(保定) Method for determining branch circuit containing harmonic source at low-voltage side of electric network
CN102749521A (en) * 2012-07-18 2012-10-24 华北电力大学(保定) Method for computing harmonic impedance of power system
CN102998535A (en) * 2012-12-10 2013-03-27 华北电力大学(保定) Method for computing harmonic impedance of system based on maximum likelihood estimation theory

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106019026B (en) * 2016-07-20 2018-08-10 东南大学 A kind of division methods of the harmonic voltage responsibility based on Waveform Matching
CN106019026A (en) * 2016-07-20 2016-10-12 东南大学 Distribution method based on waveform matching for harmonic voltage responsibility
CN106526424A (en) * 2016-11-21 2017-03-22 云南电网有限责任公司电力科学研究院 Power transmission line single-phase ground fault parameter recognition method
CN106443285A (en) * 2016-11-30 2017-02-22 济南大学 Multi-harmonic-source harmonic contribution quantitative analysis method based on total-least square method
CN106443285B (en) * 2016-11-30 2019-02-22 济南大学 Multiple-harmonic-source harmonic responsibility quantitative analysis method based on total least square method
CN106771640A (en) * 2017-02-22 2017-05-31 株洲中车时代电气股份有限公司 A kind of quantitative detecting method of power supply system of train equivalent insulaion resistance over the ground
CN107576853B (en) * 2017-07-12 2019-11-05 国网上海市电力公司 Distribution Network Harmonics impedance computation method based on canonical correlation analysis
CN107576853A (en) * 2017-07-12 2018-01-12 国网上海市电力公司 Distribution Network Harmonics impedance computation method based on canonical correlation analysis
CN108680788A (en) * 2018-05-29 2018-10-19 广东电网有限责任公司 Harmonic voltage transmission level computational methods and device
CN108680788B (en) * 2018-05-29 2020-08-18 广东电网有限责任公司 Harmonic voltage emission level calculation method and device
CN108846183A (en) * 2018-06-01 2018-11-20 南方电网科学研究院有限责任公司 A kind of harmonic impedance calculation method and system based on private clound
CN109787235B (en) * 2019-01-29 2020-09-01 国网湖南省电力有限公司 New energy generator set full-power range harmonic characteristic model obtaining method and system
CN109787235A (en) * 2019-01-29 2019-05-21 国网湖南省电力有限公司 Generation of electricity by new energy unit full power range harmonic characterisitic model acquisition methods and system
CN110058084A (en) * 2019-04-15 2019-07-26 南方电网科学研究院有限责任公司 A kind of the harmonic impedance measuring system and method for converter power transformer
CN110058084B (en) * 2019-04-15 2021-06-08 南方电网科学研究院有限责任公司 Harmonic impedance measurement system and method of converter transformer
CN112668134A (en) * 2019-10-14 2021-04-16 中车唐山机车车辆有限公司 Method and device for determining harmonic impedance of traction network and terminal equipment
CN111077372A (en) * 2019-12-24 2020-04-28 中国南方电网有限责任公司超高压输电公司检修试验中心 Method and system for measuring harmonic impedance of alternating current-direct current power transmission system
CN111413543A (en) * 2020-03-25 2020-07-14 国网河南省电力公司电力科学研究院 Experimental device and method for identifying harmonic resistance parameters of low-voltage distribution line
CN112285421A (en) * 2020-10-16 2021-01-29 国网四川省电力公司电力科学研究院 System side harmonic impedance estimation method based on minimum norm criterion
CN112285421B (en) * 2020-10-16 2023-05-23 国网四川省电力公司电力科学研究院 System side harmonic impedance estimation method based on minimum norm criterion
CN115032458A (en) * 2022-06-02 2022-09-09 北京妙微科技有限公司 Harmonic impedance estimation method based on power grid system and computer storage medium
CN115032458B (en) * 2022-06-02 2023-08-11 北京妙微科技有限公司 Harmonic impedance estimation method based on power grid system and computer storage medium
CN115659849A (en) * 2022-12-09 2023-01-31 南方电网数字电网研究院有限公司 Transient simulation method of power system based on data model hybrid drive

Similar Documents

Publication Publication Date Title
CN105588982A (en) Measurement and calculation method of harmonic impedance of power system
CN102749521B (en) Method for computing harmonic impedance of power system
Swetapadma et al. All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification
Mousavi-Seyedi et al. Parameter estimation of multiterminal transmission lines using joint PMU and SCADA data
Hu et al. Novel method of corrosion diagnosis for grounding grid
Wang et al. Transmission lines positive sequence parameters estimation and instrument transformers calibration based on PMU measurement error model
Rens et al. On techniques for the localisation of multiple distortion sources in three‐phase networks: Time domain verification
JP6491424B2 (en) Harmonic estimation device, harmonic estimation method, and harmonic estimation program
Njafi et al. Evaluating and derating of three-phase distribution transformer under unbalanced voltage and unbalance load using finite element method
Farhoodnea et al. An enhanced method for contribution assessment of utility and customer harmonic distortions in radial and weakly meshed distribution systems
Unsar et al. Identification of harmonic current contributions of iron and steel plants based on time-synchronized field measurements—Part I: At PCC
Dirik et al. A computation and metering method for harmonic emissions of individual consumers
CN111141995A (en) Line double-end steady-state distance measuring method and system based on amplitude comparison principle
Zebardast et al. New method for assessing the utility harmonic impedance based on fuzzy logic
Au et al. Establishing harmonic distortion level of distribution network based on stochastic aggregate harmonic load models
Han et al. A new assessment for the total harmonic contributions at the point of common coupling
Mansani et al. Estimation of transmission line sequence impedances using real PMU data
Shi et al. Current transformer saturation compensation based on a partial nonlinear model
Haji et al. Online determination of external network models using synchronized phasor data
CN205562781U (en) Zero magnetic flow current transformer calibration equipment based on analog quantity is applyed to secondary side
Zadeh et al. A compensation scheme for CVT transient effects using artificial neural network
Veliz et al. Determination of harmonic contributions using active filter: Theoretical and experimental results
Pereira et al. Real time compensation algorithm for air-gapped current transformers saturation effects
Didden et al. How to connect a voltage sag-measuring device: Phase to phase or phase to neutral?
Luo et al. A tank vibration model for online monitoring of power transformer

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160518