Table 7.2: Energy tests—polyphase 2½ element wye meters Test ConfigurationCurrentPower Factor PfSpecification LimitWh, VAhvarhQhSeries Test25% I max1.00.50.5±1.0%Series Test2.5% I max1.00.50.5Each element50% I max1.00.50.5Each element50% I max0.50.8661.0Split coil element50% I max1.00.50.57.3.2.5 Polyphase 2 element, 2½ element delta and 3 element energy metersPolyphase 2 element, 2½ element delta, and 3 element energy meters shall be evaluated at the test points and specification limits identified in table 7.3. Table 7.3: Energy tests—polyphase 2 element, 2½ element delta and 3 element meters Test ConfigurationCurrentPower Factor PfSpecification LimitWh, VAhvarhQhSeries Test25% I max1.00.50.5±1.0%Series Test2.5% I max1.00.50.5Each Element25% I max1.00.50.5Each Element25% I max0.50.8661.0Each Element(2½ element 4-wire delta only)2.5% I max1.00.50.57.3.2.6 Electromechanical bi-directional energy metersElectromechanical bi-directional energy meters shall be verified for each direction of energy flow. The test points and specification limits shall be as specified in tables 7.1 to 7.3 as applicable. 7.3.2.7 Electromechanical demand meters—general. Thermal demand meters shall be tested for hysteresis (grease memory) by manually resetting the driven demand pointer a minimum of two major scale divisions and holding for a maximum of three seconds. After removing the demand reset mechanism, the driven demand pointer shall not move up scale more than 1.0% FS (full scale). Thermal demand meters shall be tested for pull-back after the demand test load is removed.
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Plotting Inline¶. You can use Plotly's python API to plot inside your Jupyter Notebook by calling plotly.plotly.iplot or plotly.offline.iplot if working offline. Plotting in the notebook gives you the advantage of keeping your data analysis and plots in one place.
Table 7.5: Demand tests—electromechanical 2, 2½ and 3 element thermal demand meters Test ConfigurationTest PointPower Factor PfSpecification LimitSeries test66.6% FS1.0±1.5% FSVA only: Series test66.6% FS0.5±1.5% FS2 el: Any one element20% FS1.0±1.5% FS3 el: Any two elements20% FS1.0±1.5% FS2½ el: Each single element (delta meters)20% FS1.0±1.5% FS2½ el: Each single element (wye meters)16.6% FS1.0±1.5% FS7.3.2.10 Electromechanical integrating demand metersWhere the demand pointer is driven by the meter disc, one series test shall be performed at 66.6% FS, 1.0 Pf. The specification limit for this test is ±1.5% FS.
7.3.2.11 Accuracy of demand intervalThe demand interval for electromechanical block interval demand meters shall be within ±1.0% of the set interval. 7.3.3 Electronic meters 7.3.3.1 Zero load performance. Electronic meters shall be subject to a zero load verification test performed with zero current in all circuits, and at any rated voltage. Meters may be evaluated for zero load performance using one of the methods outlined in (a) to (d) below.
The duration of the evaluation test shall be determined based on a hypothetical load of 0.05% I max at the test voltage and the test condition described in (a) to (d) as applicable. No registration is permitted for the duration of the tests performed in (a) to (d) below. Demand test: The duration of the test shall be at least one complete demand interval, or in the case of exponential demand three time constants. Table 7.6: Energy tests—electronic energy meters—delivered direction Test ConfigurationCurrentPower Factor PfSpecification LimitWhVAhvarhQhSeries Test25% I max1.00.50.5±1.00%Series Test25% I max0.50.50.866Individual Elements25% I max0.5Series Test2.5% I max1.07.3.3.3 Accuracy requirements for demand metersElectronic demand meters shall be evaluated for each applicable demand LUM identified in table 7.7 except as noted in (1) below.
The 50% I max test load shall be used except where a 25% I max test load can be shown to provide a 0.1% resolution of reading, in which case either test point may be used. Table 7.7: Demand tests—electronic demand meters Test ConfigurationCurrentPower Factor PfSpecification LimitWVAVarSeries Test50% Imax0.50.50.866±1.00%Series Test25% Imax0.50.50.866±1.00%7.3.3.4 Meters with multiple or auto-ranging voltagesElectronic meters which are capable of operating at multiple voltages shall be verified with all elements in series/parallel configuration at one additional nominal service voltage using a previously verified current and power factor test point (i.e. Energy or demand). 7.3.3.5 Voltage squared hour metersMeters which are capable of metering voltage squared hours shall be evaluated at 95% and 105% of the nominal nameplate voltage. The specification limit for these V 2 h tests is ±1.00%.
7.3.3.6 Ampere squared hour metersMeters which are capable of metering ampere squared hours and have not been evaluated for the watt-hour LUM shall be evaluated at 2.5% I max and 25% I max. All other ampere squared hour meters may be evaluated at only one convenient test point which is at or greater than 25% I max. The specification limit for these I 2 h tests is ±1.00%. 7.3.3.7 Electronic demand meter response typeEach demand response type (exponential, block, sliding window, etc.) which has been programmed and not otherwise verified shall be verified in accordance with the requirements of section 7.3.3.3. 7.3.3.8 Meters equipped with gain switching circuitsMeters equipped with gain switching circuits shall be tested at one test point in each gain switching range. This may require additional test points for the case of meters having gain ranges not exercised by the standard test points.
The additional test points within the various gain ranges of the meter shall be as established within procedures, notices of approvals or other official documentation as established by MC. 7.3.3.9 Received direction energy metersElectronic energy meters which are approved to register energy flowing in the received direction shall be verified at the test points specified in Table 7.8 as applicable. Notes:.
The MADT per A.5.1 (iii) is calculated from all observations identified in A.5.2 below. The calculation method is to first determine the absolute value of each error, e i, then determine the mean of those values. The definition of new meter identified in A.5.1 above is as defined in bulletin E-26 reference 3.10. Also see section 5.6 for applicable reverification periods.A.5.2 For single phase, polyphase and network electronic meters, the MADT is determined using the unweighted mean of all Wh energy observations at unity and 0.5 power factor.A.5.3 Conformity shall be determined using a one-stage procedure in accordance with the requirements of MC specification S-S-02 (reference 3.7).A.5.4 Measurement results shall be reported in accordance with S-S-02 (reference 3.7). A.6 Acceptance sampling inspection for electronic and electromechanical (energy only) metersA.6.1 Devices may have their conformity evaluated by 100% inspection or, where the prerequisites of MC Specification S-S-03 (reference 3.8) have been and continue to be met, by sampling inspection in accordance with the requirements of MC Specification S-S-04 (reference 3.9).A.6.2 A lot of meters submitted for acceptance sampling shall not contain a mixture of self-contained and transformer type meters. Footnotes Footnote 1Var hour and Q hour meters that operate on the crossed phase principle shall be tested as watt-hour meters.Footnote 2The split coil element test is not required on reverification.Footnote 3Var hour and Q hour meters that operate on the crossed phase principle shall be tested as watt-hour meters.Footnote 4The tests for each element of 2½ element 4-wire delta meters shall be applied to:.
the 2-wire element. the 3-wire element in series.Footnote 5The series test for 3 element 4-wire delta meters shall be conducted at the rated voltage of the lower rated potential coil. The individual element tests shall be conducted at the rated voltage of the respective potential coil.Footnote 6The series test for 2 ½ and 3 element 4-wire Delta meters shall be conducted at the nameplate rated voltage. The individual element tests shall be conducted at the rated voltage of the respective potential coil.Footnote 7Individual element testing is not required for 1 and 1 ½ element meters.Footnote 8Meters which have been assessed for VAh and/or varh and watt demand are not required to be assessed for their respective VA and/or Var demand accuracy.
.If X and Y areboth vectors, then they must have equal length. The plot functionplots Y versus X.If X and Y areboth matrices, then they must have equal size. The plot functionplots columns of Y versus columns of X.If one of X or Y isa vector and the other is a matrix, then the matrix must have dimensionssuch that one of its dimensions equals the vector length.
If the numberof matrix rows equals the vector length, then the plot functionplots each matrix column versus the vector. If the number of matrixcolumns equals the vector length, then the function plots each matrixrow versus the vector. If the matrix is square, then the functionplots each column versus the vector.If one of X or Y isa scalar and the other is either a scalar or a vector, then the plot functionplots discrete points. However, to see the points you must specifya marker symbol, for example, plot(X,Y,'o').An RGB triplet is a three-element row vector whose elementsspecify the intensities of the red, green, and bluecomponents of the color.
The intensities must be in therange 0,1; for example, 0.40.6 0.7.A hexadecimal color code is a character vector or a stringscalar that starts with a hash symbol ( #)followed by three or six hexadecimal digits, which can rangefrom 0 to F. Thevalues are not case sensitive.
Thus, the color codes'#FF8800','#ff8800','#F80', and'#f80' are equivalent.Alternatively, you can specify some common colors by name. This table lists the named coloroptions, the equivalent RGB triplets, and hexadecimal color codes.An RGB triplet is a three-element row vector whose elementsspecify the intensities of the red, green, and bluecomponents of the color. The intensities must be in therange 0,1; for example, 0.40.6 0.7.A hexadecimal color code is a character vector or a stringscalar that starts with a hash symbol ( #)followed by three or six hexadecimal digits, which can rangefrom 0 to F. Thevalues are not case sensitive. Thus, the color codes'#FF8800','#ff8800','#F80', and'#f80' are equivalent.Alternatively, you can specify some common colors by name.
This table lists the named coloroptions, the equivalent RGB triplets, and hexadecimal color codes.An RGB triplet is a three-element row vector whose elementsspecify the intensities of the red, green, and bluecomponents of the color. The intensities must be in therange 0,1; for example, 0.40.6 0.7.A hexadecimal color code is a character vector or a stringscalar that starts with a hash symbol ( #)followed by three or six hexadecimal digits, which can rangefrom 0 to F. Thevalues are not case sensitive. Thus, the color codes'#FF8800','#ff8800','#F80', and'#f80' are equivalent.Alternatively, you can specify some common colors by name. This table lists the named coloroptions, the equivalent RGB triplets, and hexadecimal color codes. Format for datetime tick labels, specified as the comma-separated pairconsisting of 'DatetimeTickFormat' and a charactervector or string containing a date format. Use the lettersA-Z and a-z to construct acustom format.
These letters correspond to the Unicode ® Locale Data Markup Language (LDML) standard for dates. Youcan include non-ASCII letter characters such as a hyphen, space, orcolon to separate the fields.If you do not specify a value for 'DatetimeTickFormat',then plot automatically optimizes and updatesthe tick labels based on the axis limits.Example: 'DatetimeTickFormat','eeee, MMMM d, yyyy HH:mm:ss' displaysa date and time such as Saturday, April19, 2014 21:41:06.The following table shows several common display formats andexamples of the formatted output for the date, Saturday, April 19,2014 at 9:41:06 PM in New York City. Value of DatetimeTickFormatExample'yyyy-MM-dd'2014-04-19'dd/MM/yyyy'dd.MM.yyyy'yyyy年 MM月 dd日'2014年 04月 19日'MMMM d, yyyy'April 19, 2014'eeee, MMMM d, yyyy HH:mm:ss'Saturday, April 19, 2014 21:41:06'MMMM d, yyyy HH:mm:ss Z'April 19, 2014 21:41:06 -0400For a complete list of valid letter identifiers, see the propertyfor datetime arrays.DatetimeTickFormat is not a chart line property.You must set the tick format using the name-value pair argument whencreating a plot. Alternatively, set the format using the and functions.The TickLabelFormat property of the datetimeruler stores the format.' dd:hh:mm:ss'.' hh:mm:ss'.'
mm:ss'.' hh:mm'In addition, you can display up to nine fractionalsecond digits by appending up to nine S characters.Example: 'DurationTickFormat','hh:mm:ss.SSS' displaysthe milliseconds of a duration value to three digits.DurationTickFormat is not a chart line property.You must set the tick format using the name-value pair argument whencreating a plot. Alternatively, set the format using the and functions.The TickLabelFormat property of the durationruler stores the format.plot(X,Y).plot(Y).plot(,LineSpec).plot(,Name,Value).plot(ax,).X must be in monotonically increasing order.Categorical inputs are not supported.Tall inputs must be real column vectors.With tall arrays, the plot function plots in iterations, progressively adding to the plot as more data is read.
During the updates, a progress indicator shows the proportion of data that has been plotted. Zooming and panning is supported during the updating process, before the plot is complete. To stop the update process, press the pause button in the progress indicator.For more information, see. GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
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