WO2001006265A2 - Verfahren zum ermitteln von amplitude und phasenwinkel eines einem strom oder einer spannung eines elektrischen energieversorgungsnetzes entsprechenden messsignals - Google Patents
Verfahren zum ermitteln von amplitude und phasenwinkel eines einem strom oder einer spannung eines elektrischen energieversorgungsnetzes entsprechenden messsignals Download PDFInfo
- Publication number
- WO2001006265A2 WO2001006265A2 PCT/DE2000/002434 DE0002434W WO0106265A2 WO 2001006265 A2 WO2001006265 A2 WO 2001006265A2 DE 0002434 W DE0002434 W DE 0002434W WO 0106265 A2 WO0106265 A2 WO 0106265A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- measurement signal
- model
- frequency
- amplitude
- phase angle
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000005259 measurement Methods 0.000 claims description 84
- 230000002123 temporal effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 238000002847 impedance measurement Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
Definitions
- the invention relates to a method for determining the amplitude and phase angle of a measurement signal corresponding to a current or a voltage on an electrical power supply network with samples of the measurement signal, the samples with an at least one sinusoidal component containing the model for the measurement signal using a recursive least-squares - Estimation method of the model parameter amplitude and the model parameter phase of the measurement signal can be calculated.
- sample values are formed from a measurement signal corresponding to a current or a voltage of an electrical power supply network, and a complex pointer is formed therefrom by means of a linear least-squares estimation method using a sinusoidal signal model modeling the measurement signal, which indicates the amplitude and phase angle of the measurement signal.
- a first step the real and imaginary parts of the pointer are determined individually.
- the real and imaginary parts of the pointer can be used by means of a
- Coordinate transformation the polar coordinate representation of the complex pointer, ie the amount and phase of the pointer, are determined.
- the frequency of the measurement signal is known. If this is not the case or if the frequency changes, then a separate method is required to determine the frequency of the measurement signal. Methods are known, for example, which measure the distance between the zero crossings of the measurement signal and determine the frequency of the measurement signal on the basis of this period measurement, see, for example, E. Schrüfer (ed.): “Lexikon Meß- und Automatmaschinestechnik", VDI-Verlag, 1992, p .204.
- a method for frequency measurement is known in which the measurement signal to be examined is filtered in parallel with a high-pass filter and an all-pass filter (German Patent DE 42 11 946).
- the frequency of the measurement signal can be determined via the ratio of the amplitudes of the output signals of these two filters.
- the invention has for its object to provide a method with which all significant quantities of the measurement signal can be determined simultaneously and quickly.
- the model parameter frequency of the measurement signal is also determined by means of a recursive non-linear least-squares estimation method together with the model parameter amplitude and the model parameter phase angle Estimation determined.
- An essential advantage of the method according to the invention is that, in addition to amplitude and phase angle, the frequency is also determined from the sample values of the measurement signal in a measurement value processing process, and thus the amplitude, phase angle and frequency of the measurement signal are assigned to the same point in time.
- phase-locked loop PLL (Phase-Locked Loop)
- the values of the amplitude A, the phase angle ⁇ and the frequency f determined by the estimation method are only output as a result when the estimation error is smaller than a minimum permitted one
- Estimation error This has the advantage that, in particular, the values estimated at the start of the method and having large estimation errors are not output, and thus the large values Estimation errors for a user of the method cannot have negative consequences.
- FIG. 1 uses a block diagram to show the sequence of an exemplary embodiment of the method according to the invention
- Figure 3 results of the method according to the invention with a purely sinusoidal measurement signal when using a corresponding model for the measurement signal separately according to the temporal courses of amplitude, phase angle and frequency
- Figure 4 results of the method according to the invention with an offset, ie one Measurement component containing DC component separated according to the temporal profiles of amplitude, phase angle and frequency when using a model modeling the DC component for the measurement signal
- an offset ie one Measurement component containing DC component separated according to the temporal profiles of amplitude, phase angle and frequency when using a model modeling the DC component for the measurement signal
- Figure 5 results of the method according to the invention in an offset, d. H. a measurement signal containing a DC component shown separately according to the temporal courses of amplitude, phase angle, frequency and DC component when using a model modeling the DC component for the measurement signal.
- sample values y m of a measurement signal u m after sampling in a sample-and-hold circuit 1 and analog-digital conversion in an analog-digital converter 2 are on one
- the data processing system 4 contains a unit 5 for carrying out a recursive non-linear least-squares estimation method. proceedings. At the beginning of the recursive estimation process, start values SW are entered into the unit 5 for the variables amplitude A, frequency f and phase angle ⁇ and are at the output 6 of the unit 5 as the estimated output values ⁇ (0) .
- the estimation output values ⁇ (0) are passed to a block 7, which contains a model for the measurement signal.
- a start signal value y s g is determined, which is output at the output of block 7 and fed to an input 8 of unit 5.
- the unit 5 determines an estimation error ⁇ estimate from a (first) sample value y m of the measurement signal u m and the start signal value y s o according to the relationship (3) below. This estimation error will be above an admitted smallest estimation error. Therefore, starting from the estimate output values ⁇ (0) according to the rules for recursive non-linear least-squares estimates in accordance with the relationship (1) below, new estimate values ⁇ (1) are formed in unit 5, output at unit 6 output and block 7 headed.
- Estimated signal value y s _ is determined, which is output at the output of block 7 and passed to input 8 of unit 5.
- the unit 5 determines from the (first two) samples y and the start signal value y so and s y turn the estimated value of an estimation error signal Fg Higer na ch the below relation (3). This estimation error in general lie above the smallest permitted estimation error.
- Relationship (1) again determined new estimated values ⁇ (2) . These steps are repeated until the estimation error F sc tz is below a smallest approved estimation error.
- a block 9 is used to determine whether the estimation error F sc estimated is below a smallest permitted estimation error.
- Block 9 receives, via an input 10 from unit 5, the sample values y m of the measurement signal u m the start signal value y so and the estimated signal values y s ] to y s ⁇ which are buffered in unit 5. If the estimation error sch estimate lies below a smallest permitted estimation error, then a switching signal is output at an output 11 of the block 9, which switches a switch 12 through. The switch 12 forwards the estimated values ⁇ (jt) then present at the output 6 of the unit 5 to an output 13 of the data processing system 4. The estimated values ⁇ (i) are then output as result values of the estimation process and represent the values for amplitude, frequency and phase angle of the measurement signal estimated with sufficient accuracy. The estimation process then continues as described above and enables the estimated values ⁇ (i ) .
- the unit 5 determines the estimated values ⁇ (it) according to the following relationship (1).
- ⁇ (k) represents a vector which contains the estimated values of the quantities to be determined, in this case amplitude A, frequency f and phase angle ⁇ , after k estimation steps; ⁇ (k _ "denotes a vector which results from the estimation according to k-1 estimation steps.
- the matrix P (k) is a so-called symmetrical precision matrix, the determination of which is shown below using the relationship (2).
- the function h ⁇ ⁇ , ⁇ (A _ n J includes that
- the vector ⁇ ( k ) contains the partial derivatives of the model h ⁇ ⁇ - > ® (k - ⁇ ) ) for the measurement signal according to the parameters of the model for the measurement signal, ie derivatives according to amplitude, phase angle and frequency.
- the quantity y (k) is the kth sample value of the measurement signal.
- a relationship (2) is used to determine the precision matrix P (k) .
- the factor ⁇ determines the exponential weighting of past samples of the measurement signal. At the beginning of the method, a starting value is used for the precision matrix P (k) .
- the estimation error F ⁇ C estimates after the k-th estimate is made using the relationship
- N is the number of the sample values y m of the measurement signal u m to be taken into account and the estimate signal values y s , y m j_ to be taken into account the i-th sample value of the measurement signal u m and y s j_ the i-th estimate signal value.
- the estimation error F sc is determined by evaluating N samples Ymi of the measurement signal u m and N estimate signal values y s j_.
- a reasonable quantity for N is the quotient (sampling frequency of the sample-and-hold circuit 1) / (estimated
- N can also be chosen larger.
- the quotient sampling frequency of the sample and hold circuit 1 / (start value SW of the frequency) is used for N. If N sample values y m j_ of the measurement signal u m or N estimate signal values y s j_ are not yet available at the start of the estimation process, only the present values are used to determine the estimation error F sc estimate.
- FIG. 2 shows the time profile of a sinusoidal measurement signal u m , its amplitude, frequency and phase angle can be determined using the estimation method according to FIG.
- the curve y s shows the estimated signal values y s ysk over time, which are output at the output of block 7. Likewise is the course of the values of the error F, which results from the difference between the
- Measurement signal u m and the estimated signal values y s ⁇ ... y s k results, shown over time t.
- the estimation method thus enables the correct determination of the amplitude, the frequency and the phase angle of the measurement signal after approximately one period of the measurement signal u m .
- FIG. 3 shows in an upper diagram the course of the amplitude A determined with the estimation method according to FIG. 1, in a middle diagram the course of the
- Phase angle ⁇ when using samples of a measurement signal that contains a DC component.
- Fluctuations indicate an erroneous estimate and are an indication that the selected model is unfavorable for a measurement signal containing a DC component.
Abstract
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE50001144T DE50001144D1 (de) | 1999-07-19 | 2000-07-19 | Verfahren zum ermitteln von amplitude und phasenwinkel eines einem strom oder einer spannung eines elektrischen energieversorgungsnetzes entsprechenden messsignals |
US10/031,733 US6820017B1 (en) | 1999-07-19 | 2000-07-19 | Method for determining the amplitude and phase angle of a measuring signal corresponding to a current or voltage of an electrical power supply network |
EP00958168A EP1194785B1 (de) | 1999-07-19 | 2000-07-19 | Verfahren zum ermitteln von amplitude und phasenwinkel eines einem strom oder einer spannung eines elektrischen energieversorgungsnetzes entsprechenden messsignals |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE19934055.2 | 1999-07-19 | ||
DE19934055A DE19934055C2 (de) | 1999-07-19 | 1999-07-19 | Verfahren zum Ermitteln von Amplitude und Phasenwinkel eines einem Strom oder einer Spannung eines elektrischen Energieversorgungsnetzes entsprechenden Meßsignals |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2001006265A2 true WO2001006265A2 (de) | 2001-01-25 |
WO2001006265A3 WO2001006265A3 (de) | 2001-04-12 |
Family
ID=7915448
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/DE2000/002434 WO2001006265A2 (de) | 1999-07-19 | 2000-07-19 | Verfahren zum ermitteln von amplitude und phasenwinkel eines einem strom oder einer spannung eines elektrischen energieversorgungsnetzes entsprechenden messsignals |
Country Status (4)
Country | Link |
---|---|
US (1) | US6820017B1 (de) |
EP (1) | EP1194785B1 (de) |
DE (2) | DE19934055C2 (de) |
WO (1) | WO2001006265A2 (de) |
Families Citing this family (15)
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CA2349041A1 (en) * | 2001-05-28 | 2002-11-28 | Alireza Karimi Ziarani | System and method of extraction of sinusoids of time-varying characteristics |
DE10253865B4 (de) * | 2002-11-15 | 2007-05-24 | Siemens Ag | Verfahren zur Ermittelung von ein mehrphasiges elektrotechnisches Betriebsmittel charakterisierenden elektrischen Größen |
US7684955B2 (en) | 2007-05-16 | 2010-03-23 | Raytheon Company | Noncontinuous resonant position feedback system |
CN101487861B (zh) * | 2009-02-27 | 2011-08-31 | 国电南瑞科技股份有限公司 | 电网电压跌落时刻电压相角跳变检测方法 |
RU2486529C2 (ru) * | 2011-08-31 | 2013-06-27 | Федеральное государственное автономное образовательное учреждение высшего профессионального образования "ЮЖНЫЙ ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ" | Способ совместного измерения частоты, амплитуды, фазы и начальной фазы гармонического сигнала |
CN102841244B (zh) * | 2012-09-19 | 2014-10-15 | 华北电力大学(保定) | 电网电压骤变的快速检测方法 |
CN104251932B (zh) * | 2014-08-15 | 2017-02-15 | 中国计量科学研究院 | 一种测量正弦电压信号的方法及其系统 |
RU2015138806A (ru) * | 2015-09-12 | 2017-03-20 | Андрей Викторович Шпитальный | Способ обработки гармонического сигнала |
CN106226590A (zh) * | 2016-07-19 | 2016-12-14 | 国网河北省电力公司电力科学研究院 | 一种电力系统同步相量测量方法 |
RU2654945C1 (ru) * | 2017-06-01 | 2018-05-23 | федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого" (ФГАОУ ВО "СПбПУ") | Цифровой способ измерения фазы гармонического сигнала |
AT520558B1 (de) * | 2017-11-27 | 2019-05-15 | Avl List Gmbh | Rekursives, zeitreihenbasiertes Verfahren zur Zustandsermittlung eines elektrochemischen Reaktors |
CN109782074B (zh) * | 2019-02-28 | 2021-10-22 | 浙江中控研究院有限公司 | 一种低频正弦波快速响应全参数估计方法及装置 |
WO2021102446A1 (en) * | 2019-11-24 | 2021-05-27 | Purdue Research Foundation | High accuracy non-invasive current sensor system |
RU196223U1 (ru) * | 2019-12-12 | 2020-02-19 | Евгений Борисович Колесников | Измеритель частоты гармонического сигнала |
RU196115U1 (ru) * | 2019-12-12 | 2020-02-18 | Евгений Борисович Колесников | Измеритель частоты гармонического сигнала |
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- 2000-07-19 WO PCT/DE2000/002434 patent/WO2001006265A2/de active IP Right Grant
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Also Published As
Publication number | Publication date |
---|---|
DE50001144D1 (de) | 2003-02-27 |
EP1194785B1 (de) | 2003-01-22 |
DE19934055A1 (de) | 2001-02-08 |
DE19934055C2 (de) | 2001-06-13 |
EP1194785A2 (de) | 2002-04-10 |
US6820017B1 (en) | 2004-11-16 |
WO2001006265A3 (de) | 2001-04-12 |
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