IEEE P1159.1
Guide For Recorder and Data Acquisition Requirements For Characterization of Power Quality Events
Draft 0.01
February 2, 1998
Copyright ©1998 by the Institute of Electrical and Electronic
Engineers, Inc.
345 East 47th Street
New York, NY 10017, USA
All rights reserved.
This is an unapproved draft of a proposed IEEE Standard, subject to change. Permission is hereby granted for IEEE Standards Committee participants to reproduce this document for purposes of IEEE standardization activities. Permission is also granted for member bodies and technical committees of ISO and IEC to reproduce this document for purposes of developing a national position. Other entities seeking permission to reproduce this document for these or other uses must contact the IEEE Standards Department for the appropriate license. Use of information contained in this unapproved draft is at your own risk.
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Table of contents
1. Overview *
1.1 Scope *
1.2 Purpose *
2. References: *
3. Definitions *
4. Instrumentation classes *
5. Application classes *
5.1 Benchmarking class *
5.2 Trouble shooting class *
5.3 Field test for legal issues *
5.4 Laboratory emission and immunity tests *
6. Input voltage and current requirements *
6.3 Transients *
6.4 Short duration variations *
6.5 Long duration variations *
6.6 Voltage imbalance *
6.7 Waveform distortion *
6.8 Voltage fluctuations *
6.9 Power Frequency variations *
7. Performance test and calibration procedures *
8. Bibliography *
Tutorial discussion on Transient assessment *
Tutorial discussion on long duration variations assessment *
Tutorial discussion on Voltage Imbalance assessment *
Voltage unbalance assessment technique *
Instantaneous assessment and observation windows *
Observation intervals *
Disturbance level measurements adjusted in terms of equipment heating *
Survey duration *
Tutorial on voltage unbalance assessment requirements *
Tutorial on measured intervals *
Tutorial on Waveform distortion assessment *
Frequency bandwidth *
Number of observation windows for assessing harmonics over each interval *
Error related to gaps between windows *
This guide establishes the data acquisition attributes necessary to characterize the electromagnetic phenomena listed in table 2 of IEEE Std. 1159.
The objective of this guide is to describe the technical measurement requirements for each type of disturbance defined in 24 categories of typical characteristics of power system electromagnetic phenomena. Each category is discussed in several standards in terms of emission limits, severity levels, planning levels or immunity levels.
(to be accumulated by each chapter chair)
(Definitions given in this section have not been harmonized with definitions made in other IEEE standards. Several terms need to be defined, however, and IEEE 1159.1 seeks volunteers for the harmonizing of definitions.)
Before scheduling the power quality measurement, the user must select the instrument which meets his needs. This section addresses the language and the assessment specification which need to be understood to communicate with the instrumentation manufacturer. Also, the user needs to define his need clearly.
Accuracy |
The quantity of freedom from mistake or error which the IEC dictionary and IEEE 100 characterize as the closeness of an indicated value of a measuring instrument to the corresponding true value. Note: Strictly speaking, the accuracy specification should indicate a very high value such as 99%, which means that the value measured is at 99% of the actual value. That is to say, the indicated value is within 1% of the true value. In practice, however, this term has never been used according to the definition and the accuracy specification is the error value, i.e. 100% of the accuracy. Therefore, accuracy is greater when the indicated value is closer to the corresponding true value but is indicated by a smaller number. The accuracy of an indicated or recorded value is expressed as the percentage of the error of the indicated value to the true actual value. Each value measured will show a specific accuracy value. The specification should show that the accuracy will remain between two limiting values. For example, an accuracy specification can be <+5% and >-5% full scale which means that measured-value error is between -5% and +5% of full scale of the instrument. |
IEC dictionary and IEEE 100 |
Aliasing |
The distortion caused by sampling a signal at an inappropriate rate and which results in the overlapping of the sidebands around the harmonics of the sampling frequency in the spectrum of the sample signal. Note.: A high frequency which exceeds the operating range of the instrument affects the frequency component in the frequency range of the analysis. IEC has requested use of an anti-aliasing filter which should attenuate to below 50 dB all frequencies above the operating range of the instrument. Observation windows may be flagged during the presence of frequency components which exceed the operating range of the instrument. If these high frequency components occur too often, the user may need a wider bandwidth instrument. |
IEC dictionary |
Analogue signal |
A signal in which the characteristic quantity representing information may, at any instant, assume any value within a continuous interval. Note. For example, an analogue signal may follow continuously the values of another physical quantity representing information |
IEC dictionary |
Anti-aliasing |
correction intended to reduce the aliasing. |
IEC dictionary |
Aperture uncertainty |
Signal error of the sample-hold electronic device caused by the timing uncertainty in the switch and the driver circuit. |
|
Bandwidth |
The width of a frequency band over which a given characteristic of an equipment or transmission channel does not differ from a reference value by more than a specified amount or ratio. Note.: the given characteristic may, for example, be the amplitude/frequency, the phase/frequency or the delay/frequency characteristic. The quantitative difference between the limiting frequencies of a frequency band. For most power quality users should specify the bandwidth as the frequency for which the maximum sinusoidal input signal has decreased below the accuracy specified |
|
Digital signal |
A discretely timed signal in which information is represented by a finite number of well defined discrete values that one of its characteristic quantities may take in time. |
|
Dynamic accuracy |
Accuracy determined for a time-varying output |
IEEE 100 |
Dynamic range |
The ratio, usually expressed in decibels, of the maximum to the minimum signal input amplitude over which an amplifier can operate within some specified range of performance. |
IEEE 100 |
Effective bits |
Effective bits is a measure of the
signal-to-noise ratio given in term of the number of bits. The signal to noise ratio is
generally expressed in decibels
|
Datel |
Equivalent time sampling |
This method is also called random repetitive sampling which is used to virtually increase the sampling rate by capturing a little bit of the information during each repetition of the signal. The method assumes the signal waveform to be reproduced during each window observed. The instrument samples the signal of each window with different sequence timing allowing additional values between samples acquired from the previous observation windows. |
|
Frequency bins |
The minimum bandwidth at which two signals close in frequency can still be analysed. |
|
Observation Window |
Sampled signal which occurs during a predefined period. |
|
Phase lock loop |
A circuit for synchronizing a variable local oscillator with the phase of a reference signal. Widely used to control the sampling rate at a frequency multiple of the fundamental frequency of the recorded signal. The phase lock loop is used to maintain a fixed number of samples for each cycle of the fundamental frequency of the signal. |
|
Picket fence |
Discrete magnitude of each frequency component, calculated with the Fourier transform, which comprises the sampled signal. |
|
Precision |
The quantity of coherence or repeatability of measurement data, customarily expressed in terms of the standard deviation of the extended set of measurement results from a well-defined (adequately specified) measurement process in a state of statistical control. The standard deviation of the conceptual population is approximated by the standard deviation of an extended set of actual measurements. |
|
Resolution |
The smallest change in the measured or supplied quantity to which a numerical value can be assigned without interpolation. Note.: the resolution of most digital instruments isspecified in terms of the number of bits that the analogue to digital converter can provide. Manufacturers have invented several wordings such as effective bits. |
IEC dictionary |
Sampled signal |
Signal representing a variable which is only intermittently observed and represented. The sequence of values of a signal taken at discrete instants. |
|
Sideband |
The spectral components resulting from the modulation of a sinusoidal carrier and lying above or below the carrier frequency. Note.: Sideband designates a frequency band lying above or below a sinusoidal carrier frequency and containing spectral components of significance produced by modulation. Flicker originated from a lamp is produced by the modulation of the power-system voltage operated at the fundamental frequency. Thus, the fundamental frequency is the carrier frequency and the modulation produces the sidebands. |
IEC dictionary |
signal |
A measurable variable, one or more parameters of which carry information about one or more variables which the signal represents |
|
Signal window |
Test signal representing a uniform background with a uniform rectangular or square area, clearly contrasted in relation to the background |
IEC |
Spectral leakage |
Frequency component of a spectrum resulting from a signal discontinuity at the boundary of the observation window. This signal discontinuity occurs when a fraction of a cycle exists in the waveform comprised in the observation window which is subjected to the Fourier transform. |
|
Static accuracy |
Accuracy determined with a constant output which is independent of the time-varying nature of the variable |
|
Time-domain instrumentation |
Instrumentation which performs the analysis by time sampling of the signals and subsequent numerical handling of the sampled data. Fast Fourier Transform (FFT) is the most widely used computation algorithm for harmonic analysis |
IEC1000-4-7 |
Sampling with interpolation |
Method used to get an idea of what a sampled signal looks like if it is so fast that the recorder can only collect a few sample points. Linear interpolation connects sample points with straight lines, and sine interpolation connects samples with curves. |
Mean (
): The mean of a
number of measurements performed during a period or an interval of a given quantity is
defined by
![]()
rms (
)
The rms
of a number of
measurements performed during a period or an interval of a given quantity is defined by

Standard Deviation (s)
The standard deviation (s) is a measure of dispersion of a number of
measurements performed during a period or an interval. An estimate of this value is ![]()

Standard error (
)
The standard error indicates the disagreement between averages of the mean of measurements performed during several intervals when a fixed input level is applied.
Systematic Error (Es)
Systematic error, or bias, is the difference between the mean measured
value (
) and the actual value. This is also
referred to as "constant error" but often the error is constant only through a
particular set of measurements of observation. For example: a 5% systematic error over 100
measurements.
Random Error (Er)
The random error is one which causes the measured value to occur randomly around an average value.
Accuracy
Accuracy is the degree of agreement between measured values and the true values (i.e. closeness to the reality).
Precision
Precision is an indication of the likelihood that a measurement will differ from the same measurement at a different, but not correlated, time. The assessment interval specification is also needed to assess precision values. For example, the precision could be assessed using measurements every 3-s interval.
Traceability
Traceability is an attribute of some measurements. Measurements have traceability to the designated standards if an only if scientifically rigorous evidence is produced on a continuing basis to show that the measurement process is producing measurement results (data) for which the total measurement uncertainty, relative to national or other designated standards is quantified.
4. Instrumentation classes
Basically, when the signal to measure is supplied from a perfectly stable wave-form generator, results displayed by one instrument are very close to those obtained by others. However, when connected to the power system, several phenomena can affect the assessment in such a way that some instruments can measure disturbance levels which do not exist and several errors can be added to the remaining disturbance assessed.
Without the assessment specification of the instrument, or with an inappropriate specification, users are unable to assess the severity level of the disturbance on equipment; this can lead to incorrect conclusions and costly decisions. Therefore, this guide defines three classes considering the following specification:
Acquisition requirements should be well adapted to power quality measurement purposes, this justifies defining the application classes as related to usage. This guide addresses four application classes: benchmarking, trouble shooting, legal and laboratory.
Measurement for benchmarking aims to assess the "Quality Factors" and "Quality Indices" of an entire distribution system. The Quality Factors are the level of deformation of the voltage supply that has an active role in upsetting or damaging customers’ electronic or electrical equipment. The Quality Index is the ratio of total number of times per year, per customer in the survey, that the related Quality Factors exceeded the established planning levels. The planning levels are quality factor levels used for power system design and serve as reference for the power quality indices. These levels can be exceeded occasionally. It is intended for the coordination of the compatibility between power systems at different rated voltages.
Field surveys for benchmarking requests should be carried out to measure each Quality Factor at least once at a specific moment during one specific period. Unfortunately, the appropriate moment to perform this measurement is unknown since the event sought occurs when the disturbance reaches a level not exceeded during a percentage of the time. Therefore, the benchmarking application requires continuous recordings so as to assess the real cumulative function, since very low disturbance levels are now included in power quality assessments of distribution systems.
Steady-state disturbances such as power frequency, flicker (voltage fluctuations), voltage harmonics, voltage imbalance, and long duration voltage variations are reported in term of average or rms levels over a given interval. The sampling of each disturbance should be performed continuously and grouped to assess the rms value occurred during each contiguous interval. For example, a 10-min interval was used for several benchmarking surveys. The sought value for benchmarking should match a level not exceeded by a percentage of measurements cumulated during a given period. Several surveys for benchmarking the power system in Europe and one benchmarking survey performed in Canada reported that the 10-min rms level had not exceeded 95% of the measurements performed during one week per site. The value obtained is therefore valid for the specific week during which the measurement was performed. For benchmarking the power system, several sites should be measured during the 12 consecutive months of the survey. Each benchmarking survey addresses only one user type at a time. For example, the user type can be residential, commercial or industrial. The instrumentation may be moved from site to site during the survey period to supply the Quality Indices in terms of the number of times per year, per customer that recorded factors exceeded the planning level.
The most common objective to perform measurement involves the preliminary investigation to identify loss sources such as production loss, high maintenance cost or premature damage to equipment. Accurate measurement during the preliminary investigation of a trouble shooting application may be not required until the measurement gives some indication that a particular distortion can cause the problem. Portable hand size meters that are available from several manufacturers can be used. Although, the assessment specifications for these meters are difficult to obtain, they are very convenient at this stage since they are easy to move around for measuring disturbance levels at several points of a plant. However, the user should select the measuring period during which the highest harmonic levels are expected to occur and several readings should be performed during that period.
Therefore, field testing for trouble shooting consists of recording the specific phenomenon that can be associated with a specific power quality problem. As opposed to the benchmarking class, the sought phenomenon can be provoked in several cases. For example, the user can measure the voltage disturbances during an induced event such as motor starting or arc-welder operation. Measurement for a trouble-shooting application class helps in the understanding of the phenomenon but may not necessarily be required to identify the problem. For example, one specific problem can be observed when inducing a motor starting and no instrumentation is needed to reach this conclusion. However, several phenomena such as transients, sag or resonance can occur during the induced event and only measurement with the appropriate instrumentation can indicate the difference between these phenomena. The induced event may not cause the problem each time. For example, the severity of a transient provoked by switching a capacitor bank onto the power system is a function of the operation sequence in the cycle. Capacitor switching transients may be negligible when they occur close to the normal zero crossing of voltage.
Contiguous measurement during long periods may not be necessary if the approach of inducing an event is possible and succeeds in the identification of the problem. However, continuous measurement may be useful. In this case, strip-chart recording and event trigger approaches may be appropriate for the trouble-shooting class.
Measurements can be performed for contractual purposes to assess the disturbance emission from a particular load or to assess the voltage quality supplied by the utility. If an induced event is possible for the emission test, a few measurements may give the appropriate assessment of the emission level but the user needs to repeat the measurements several times so as to ensure that no other load or power-system configuration affects the result. Unless a single measurement demonstrates clearly a specific legal issue, continuous measurement during at least one week may be preferable.
Repetitive tests during one week are not normally useful if the operating condition and the test environment are well defined. In such a case measurement can be performed in a laboratory. Repetitive tests could be useful to demonstrate the repetitively of the result.
6. Input voltage and current requirements
Instrumentation that completely and permanently meets specification is normally a dream. Any instrument may be out of the specification at any time. Drift problems may be accelerated by the environmental conditions. Therefore, the measurement integrity concept included in this guide helps to avoid data corruption during possible abnormal instrumentation operation due to unexpected environmental or random failure. The measurement integrity concept aims to avoid corrupted data influence on each assessment performed during the measurement period and is very useful for application classes requiring long period surveys.
Some manufacturers may specify the period during which the instrument can meet the specification. However, the manufacturer’s specification assumes specific use conditions which can be controlled during an application in laboratory. As other application classes require moving the instrument into uncontrolled environments, the accuracy period specified by the manufacturer should not be used to qualify the integrity during the measurement period.
Instrumentation designed for the benchmarking and legal classes should include features to ensure that the specification is met for the longest portion of the measurement period (>95% of the time for example). A good design provides a means to check the specification during the measurement period.
Specifications of products reflect the variability of components, disturbing processes and use environments. These "contributors" to the specification determine the specification limits that must be tested by the manufacturer. It should be kept in mind that the factory quality control conditions cannot simulate all environmental conditions and all types of disturbances to be recorded.
The variation of any "contributor" is subject to the following stresses:
The requirement for the data acquisition attributes necessary for the recording of PQ Events depends upon what type of events from Table 2 of IEEE 1159 are intended to be acquired. This can also vary within a category of event types, as for example voltage transients. These categories and the typical event characteristics are given in the table 6.1 below:
Table 6.1: Transient category and typical event characteristic
Categories |
Spectral Content |
Duration |
Voltage Magnitude |
1.0 Transients |
|||
1.1 Impulsive |
|||
1.1.1 Nanosecond |
5 ns rise |
<50 ns |
|
1.1.2 Microsecond |
1 µs rise |
50 ns- 1 ms |
|
1.1.3 Millisecond |
0.1 ms rise |
>1 ms |
|
1.2 Oscillatory |
|||
1.2.1 Low Frequency |
<5 kHz |
0.3 - 50 ms |
0 - 4 pu pV??? |
1.2.2 Medium Frequency |
5 - 500 kHz |
20 <µs |
0 - 8 pu pV??? |
1.2.3 High Frequency |
0.5 - 5 MHz |
5 µs |
0 - 4 pu pV??? |
A. Attributes
1. Input Configuration |
TYPICAL VALUES |
|
a. Differential |
For wye or delta |
|
b. Common or derived neutral |
For wye or balanced delta |
|
c. Full Scale or Range |
1 kV - 6 kV |
|
2. Input Impedance |
||
a. Resistance to Ground |
10 - 40 MW |
|
b. Capacitance to Ground |
40 pF |
|
c. Resistance Channel-to-Channel |
>50 MW |
|
3. Input Filter |
||
a. High-pass cut-off frequency |
5 - 10 kHz |
|
4. Acquisition Scheme |
||
a. Low speed sampling |
128 samples/channel/cycle |
|
b. Multi-sample/cycle peak detection |
128 samples/channel/cycle |
|
c. High speed sampling |
1 - Msamples/channel |
|
5. Front End less the ADC |
||
a. Bandwidth |
1 - 10 MHz |
|
b. Slew rate |
9 - 30 V/µs |
|
c. Settling time |
250 ns - 2 µs |
|
d. Linearity |
||
e. Accuracy |
10% error overall |
|
f. Common-mode rejection |
>40 dB @ 60 Hz |
|
g. Over/undershoot |
||
6. Phase Shift between Samples |
||
a. Sequential |
0.2 - 0.7° @ 60 Hz |
|
b. Simultaneous Sample and Hold |
<0.1° @ 60 Hz |
|
7. Analog-to-Digital Conversion |
||
a. Conversion Time |
250 ns - 3 µs |
|
b. Reset time |
500 ns (peak detectors) |
|
c. Bits Resolution |
12 (pk det.) 8 - 10 (high speed) |
|
d. Conversion Accuracy |
+/- 1LSB |
|
8. Samples |
||
a. Number of pre-trigger samples |
0 – 512 |
|
b. Number of post-trigger samples |
0 - 512 |
|
c. Phase position accuracy (time correlation) |
+/- 1 LF sample |
|
9. Trigger |
||
a. Absolute Value (peak relative to zero volts) |
n/a |
|
b. Relative (remove low frequency signals) |
n/a |
|
B. Performance Criteria
Amplitude accuracy versus duration and point-on-wave of transient, including positive and negative transients.
Point-on-wave accuracy versus magnitude and duration
Duration accuracy versus magnitude and point-on-wave
Amplitude and frequency accuracy of oscillatory or ringing frequency.
Cross-channel coupling.
C. Test Waveforms
1. Lightning : 1.2 u x 50 µs
2. Surge Withstand Capability : 2 MHz exponentially decaying
3. PF Correction Cap switching In/Out : 2 pu, ½ cycle ring.
4. ANSI/IEEE C62.41-1991
Categories |
Typical spectral content |
Typical duration |
Typical voltage magnitude |
7.0 Power Frequency Variations |
<10 s |
The frequency of the power system is established by the angular velocity of mechanically connected prime movers and associated electrical generators. In large, networked power grids, the combined inertias of many large rotating generators operating synchronously provide an extremely stable system operating frequency. Power system deviations from nominal frequency rarely occur on large networks in developed countries. When significant deviations do occur, they usually result from slow clearance of severe faults, or cascading system failures that result in severe mismatches between available generation and connected loads. In less developed countries, there can be long term mismatches between available generation and connected loads that result in steady state under-frequency operation.
In small, isolated power systems, frequency deviations are more likely to occur when changes in connected loads are an appreciable fraction of the available generator kVA. Examples of this situation occur when isolated industrial loads are served from on-site generation and when commercial loads are served from on-site back-up generators. Remote communities served by local generators without a connection to a larger networked power grid may also experience frequency deviations due to switching on and off of "large" loads.
The results of frequency deviations on connected loads vary by type of load. Per IEEE Standard 446-1995, the majority of end-use equipment can tolerate frequency changes by as much as +/-0.5 Hz, which is slightly less than a one percent deviation on a 60 Hz system. Frequency deviations can affect the performance of electronic timers, where a timing interval is determined by detecting the zero-crossings of the ac supply voltage. Frequency deviations can also affect measurements of voltages where (frequency dependent) reactive components are involved.
Typically, power frequency variations on modern, interconnected power systems are rare. When they do occur on large systems, however, there exists the possibility for severe consequences such as sustained interruption of power. In such a scenario, frequency measurements are of interest in characterizing the dynamics of the power system during stressful conditions.
A variety of means are available for the measurement of synchronous power frequency. These include, and are not necessarily limited to, the following.
Rapid progress in electronic measurement technology of ac waveforms has opened the way for a variety of measurement application techniques. This standards document does not provide a specific recommended approach to ac frequency measurements, rather it outlines a test protocol for the "certification" of a meter’s ability to correctly measure ac input frequency under a variety of dynamic and steady-state conditions.
The objective of the frequency measurement test protocol is to determine the ability of a test instrument to properly report the frequency of a standard input signal. The input signal must be precisely defined, and have specific attributes that embrace the range of possible operating conditions in the field. The ability of the instrument in test to properly record [or indicate] the standard input signal will be measured in terms of acceptable levels of measurement uncertainty. Measurement uncertainty is defined as a function of the class of instrument under test. These measurement uncertainties are as defined below.
Classes |
Limits of Measurement Uncertainty |
Benchmarking Application |
|
Troubleshooting Application |
|
Legal Application |
|
Laboratory Application |
Standard Input Signal. The instrument under test shall have the following set of signal waveforms applied to its input channels. The test input signal will exercise the instrument in measuring off-nominal operating frequencies and rate-of change of frequency, both positive and negative.
7. Performance test and calibration procedures
A method to verify the performance specifications should be provided. These procedures should specify common, readily available test equipment (arbitrary [random??] waveform generator). If a specification is beyond the user's normal capacity to test, IEEE 1159 should describe an alternative method which can be implemented in the instrument or supplied as a separate unit.