CN104345224A - Electric energy quality monitoring method and apparatus - Google Patents

Electric energy quality monitoring method and apparatus Download PDF

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CN104345224A
CN104345224A CN201310323182.1A CN201310323182A CN104345224A CN 104345224 A CN104345224 A CN 104345224A CN 201310323182 A CN201310323182 A CN 201310323182A CN 104345224 A CN104345224 A CN 104345224A
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voltage
data
2urms
wave front
current
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CN104345224B (en
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仲刚
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Siemens Power Automation Ltd
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Siemens Power Automation Ltd
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Abstract

The invention provides an electric energy quality monitoring method and apparatus. The electric energy quality monitoring method comprises steps of acquiring a voltage or current sampling value of at least one cycle; calculating a voltage or current root-mean-square value of the current cycle based on the acquired voltage or current sampling value; caching each pre half cycle voltage or current root-mean-square value, just recording voltage or current root-mean-square values exceeding a predetermined tolerance range, and recording the pre half cycle voltage or current root-mean-square value of the voltage or current root-mean-square values exceeding a predetermined tolerance range. As a result, the recorded data volume of the electric energy quality monitoring apparatus is greatly reduced.

Description

Electric energy quality monitoring method and device
Technical field
The present invention relates in general to electric energy quality monitoring method and device, particularly relates to a kind of energy monitor method and apparatus that can reduce data storage capacity.
Background technology
The quality of power supply refers to the quality being supplied the AC energy of user side by electrical network (such as public electric wire net).The utility network of perfect condition should with constant frequency, sinusoidal waveform and normal voltage to customer power supply.Meanwhile, in three-phase alternating current system, the amplitude of each phase voltage and electric current answers equal and opposite in direction, phase place symmetrical and mutual deviation 120 °.But because the equipment such as the generator in system, transformer and circuit are non-linear or asymmetric, load character is changeable, in addition control measures imperfection and operation, external interference and various failure and other reasons, and this desirable state does not exist.Thus, create operation of power networks, power equipment and supply the various problems in electricity consumption link, also just create the concept of the quality of power supply.
Observe from different perspectives, quality of power supply implication such as can comprise:
(1) quality of voltage: it is with the deviation of virtual voltage and desired voltage, the concept whether electric energy that reflection power supply enterprise supplies to user is qualified.This definition can comprise most of power quality problem, but can not comprise the power quality problem that frequency causes, and does not also comprise consumer to the impact of the electrical network quality of power supply and pollution.
(2) current quality: the change that reflects the electric current having substantial connection with quality of voltage, be power consumer except AC power being had to constant frequency, sine-shaped requirement, also require that current waveform and supply voltage same-phase are to ensure that high power factor is run.This definition contributes to the improvement of the electrical network quality of power supply and reduces line loss, but can not summarize most of power quality problem caused because of voltage reason.
Obtaining quality of voltage or current quality to analyze, generally needing to sample to the voltage and current in power supply network, the voltage and current data monitored being preserved, for power quality analysis simultaneously.In order to ensure reliability and the accuracy of power quality analysis, in electric energy quality monitoring, important link is exactly continue to record with the cycle regular time voltage or current value that monitor.Such as, record voltage or the current sampling data in each cycle, or the voltage of every 1 minute, each hour or current sampling data.Suppose to sample to the single-phase of the line of electric force of 50Hz with 625 microseconds, then each cycle obtains 32 sampled points.If record the data of continuous 10 seconds, then need to record 16K sampling number certificate, the namely data of such as 16K*4 byte=64K byte.So, if the record data of a day 24 hours, then data volume will reach 552M byte.This just needs power quality monitoring device to have suitable memory capacity, but this point is very inaccessible for most of power quality monitoring device.
Meanwhile, if record the data of each sampled point, once cause record data to exceed predetermined recording interval because of the fluctuation of such as voltage time-out or voltage (electric current), then recorded data will lose efficacy since then, or obtained inaccurate record data.In order to address this problem, existing a kind of mode reduces data logging interval further to obtain more or data more accurately.But this scheme is had higher requirement to the memory capacity of power quality monitoring device.Another kind of scheme records this event when there is off-limits invalid data and mark invalid data in data record.But the shortcoming of this method is there is continuous print sampled data and will there will be interruption because of invalid data, and is unfavorable for the analysis of the quality of power supply.
Summary of the invention
One object of the present invention is to provide a kind of electric energy quality monitoring method, and it can record the data of continuous print kinetic current or change in voltage, for power quality analysis.
According to one embodiment of the invention, the method for electric energy quality monitoring that the present invention proposes, initialization one is for storing the buffer memory of half week wave front data and one for storing the buffer memory formerly recording data point; Obtain voltage or the current sampling data at least one cycle, based on obtained voltage or current sampling data, calculate voltage or the RMS current of current period; Judge whether the voltage of described current period or RMS current and the described difference formerly recording data point exceed predetermined first tolerance limit; If do not exceeded, then upgrade described half week wave front data with the voltage of described current period or RMS current and associated timestamp thereof, and continue to perform and obtain the voltage of subsequent cycle or the step of current sampling data; If exceeded, then when described when within half week, wave front data is effective value, record described as a data point at half week wave front data, if and exceed, then also the voltage of described current period or RMS current and associated timestamp thereof are recorded as a data point, described in upgrading with the voltage of described current period or RMS current, formerly record data point simultaneously.
Preferably, described initialization step comprises: empty the buffer memory for storing described half week wave front data.And described half week wave front data is that the situation of effective value also comprises: if described half week wave front data is for empty, then show that described half week wave front data is effective value; And the step described half week wave front data to be recorded as a data point also comprises; After recording described half week wave front data, empty described for storing the buffer memory of half week wave front data.
More preferably, described half week wave front data is that the situation of effective value also comprises: if described half week wave front data is for empty, then and then judge whether the voltage of described current period or the difference of RMS current and described half week wave front data exceed second tolerance limit (Tc); If exceeded, then show that described half week wave front data is effective value.
In another embodiment, more preferably, described the first predetermined tolerance limit is one of at least the first sub-tolerance limit and the second sub-tolerance limit, and described first sub-tolerance limit is greater than described second sub-tolerance limit, and the step recording described voltage or RMS current also comprises: judge whether the difference of the current voltage that calculates or RMS current and specified voltage or current value exceeds a predetermined tolerance threshold; If the difference of the voltage calculated current or RMS current and specified voltage or current value does not exceed described predetermined tolerance threshold, then described the first predetermined tolerance limit is the first sub-tolerance limit, otherwise described predetermined first tolerance limit is the second sub-tolerance limit, and wherein said predetermined tolerance threshold is greater than in described first sub-tolerance limit and the second sub-tolerance limit arbitrary.Preferably, described predetermined tolerance threshold is 8% ~ 12% of specified voltage or electric current mean square value.More preferably, described first tolerance limit is the twice of the second tolerance limit.Particularly preferably, described predetermined tolerance limit is specified voltage or electric current mean square value 1% ~ 6%.
According to a further embodiment of the invention, the invention allows for a kind of device for electric energy quality monitoring, comprising: initialization module, formerly record data point for initialization half week wave front data and one; Sampling module, for obtaining voltage or the current sampling data of at least one cycle; Computing module, based on obtained voltage or current sampling data, calculates voltage or the RMS current of current period; Judge module, judges whether the voltage of described current period or RMS current and the described difference formerly recording data point exceed predetermined first tolerance limit; First update module, if the judged result of judge module is not for exceed the first tolerance limit, then upgrades described half week wave front data with the voltage of described current period or RMS current and associated timestamp thereof; First logging modle, if the judged result of judge module is for exceeding the first tolerance limit, then when within described half week, wave front data is effective value, described half week wave front data is recorded as a data point, and second logging modle, if the judged result of judge module is for exceeding the first tolerance limit, then also the voltage of described current period or RMS current and associated timestamp thereof are recorded as a data point; Second update module, after described second logging modle record completes, formerly records data point described in upgrading with the voltage of described current period or RMS current.
Reference is below in conjunction with the detailed description of accompanying drawing to various embodiments of the present invention, and above-mentioned aspect of the present invention and advantage will become more apparent clear.
Accompanying drawing explanation
The following drawings is only intended to schematically illustrate the present invention and explain, not delimit the scope of the invention.Wherein,
Fig. 1 shows the schematic diagram of the root mean square account form of voltage;
Fig. 2 shows the schematic diagram of the root mean square account form of every half cycle (instantaneous half cycles) voltage;
Fig. 3 is the schematic diagram of the record data utilizing electric energy quality monitoring method to obtain;
Fig. 4 shows the process flow diagram of electric energy quality monitoring method according to an embodiment of the invention;
Fig. 5 shows the process flow diagram of electric energy quality monitoring method in accordance with another embodiment of the present invention;
Fig. 6 shows the process flow diagram of the electric energy quality monitoring method according to another embodiment of the present invention;
Fig. 7 is the schematic diagram of the record data that the electric energy quality monitoring method adopting the present invention to propose obtains;
Fig. 8 is the structured flowchart of equipment for monitoring power quality according to an embodiment of the invention.
Embodiment
In order to there be understanding clearly to technical characteristic of the present invention, object and effect, now contrast accompanying drawing and the specific embodiment of the present invention is described.
Fig. 1 schematically shows voltage waveform single-phase in supply line, and the computing method of rms voltage (Urms).In FIG, ordinate is the magnitude of voltage sampled, and represents in figure with x (i); Horizontal ordinate is time shaft, and unit is second (S).As shown in Figure 1, the y (t) in root-mean-square value Urms(and Fig. 1 of voltage) for voltage sample value x (i) square in whole cycle T after integration divided by the square root after cycle duration T.The root-mean-square value Urms of voltage is also called effective voltage.The amplitude change of Urms is enough to the change of reflecting voltage waveform, namely the state change of voltage.Voltage status change described here refers to that magnitude of voltage is transitted towards a new stabilizing panel state of value from a stable amplitude position.Here state also can refer in amplitude with the variable condition that constant ratio increases or reduces.
In an embodiment of the present invention, in order to carry out power quality analysis, what record is the rms voltage (Urms) going up every wrong rear half cycle the time.Fig. 2 shows the sinusoidal voltage waveform at least two cycles.Meanwhile, Fig. 2 also shows each data point corresponding with this voltage waveform, represents in the drawings with " x ".In figure, the three to the five data point indicated by " x " can respectively with sampled data Range Representation corresponding with it from left to right.In fig. 2, the n-th 1/2 scopes indicated by the cycle are the scope for calculating the sampled data that this corresponding Urms uses.Such as, first x point (1 st) value be at one-period (i.e. 1 in figure st1/2 cycle) in cycle of indicating according to the formulae discovery shown in Fig. 1 out.Second x point (2 nd) value be within the cycle that second period (2nd1/2Cycle namely in figure) indicates according to the formulae discovery shown in Fig. 1 out.2 nd1/2Cycle is than 1 sthalf period after 1/2Cycle mistake.In other words, if 2 ndscope indicated by 1/2Cycle is current period Cur Cycle, then 1 st1/2Cycle be half week wavefront (Pre-1/2) Urms.So, Urms can be calculated successively according to the scope shown in Fig. 2, i.e. " x " point in Fig. 2.The curve that x point is formed describes the variation tendency of voltage.
Fig. 3 shows the recording mode of further reduced data recorded amounts.Similarly, represent with " x " Urms recorded in figure 3.As shown in Figure 3, only record the Urms changed, so recorded data measures significantly to reduce.Such as, power quality monitoring device judge Urms that current period (Cur) calculates and the first Urms of the data point of previous record difference whether beyond a predetermined tolerance limit T l.Such as, suppose that the current Urms calculated is 2 in Fig. 2 ndurms, then power quality monitoring device asks 2 ndthe absolute value of Urms and the first difference of the Urms of the data point of previous record, i.e. △ 1/2Urms.If △ 1/2Urms is greater than predetermined tolerance limit T l(1% ~ 6% of such as specified voltage mean square value) is then by current calculating (Cur) (such as 2 ndurms) record as data measuring point.Otherwise, do not carry out record, and then obtain new sampled value, such as, to calculate rms voltage in half week wave period of staggering backward, in Fig. 23 rdurms.So just can obtain change in voltage trend as shown in Figure 3.
Mode shown in Fig. 3 is adopted can significantly to reduce recorded data amount.Such as, if when voltage stabilization, such as, in one hour, one day or one week, Urms change does not all exceed tolerance limit T l, then only a Urms value is recorded.Meanwhile, when voltage magnitude increases or decline, as shown in the middle part of Fig. 3 waveform, the change of voltage can also be captured in time.Thus, the event such as fluctuation, time-out of such as voltage waveform is recorded in the change that the mode shown in Fig. 3 depends on Urms, thus recorded data is continuous and believable all the time, and can not be subject to the interference of the events such as such as voltage time-out.
Fig. 4 shows the process flow diagram of electric energy quality monitoring method according to an embodiment of the invention.In the flow process shown in Fig. 4, employ a buffer memory Buf especially, for being buffered in Urms before half cycle and relevant time mark (timestamp) thereof, this also can be called half week wave front data, represents in figure with Pre-1/2Urms.When needing to record current root-mean-square value Cur_Urms according to mode shown in Fig. 3, also record institute buffer memory at half week wave front data Pre-1/2Urms.Thus, recorded curve data continuity can be made better by increasing a very little buffer memory, and more can reflect the situation of change of virtual voltage truly.
Particularly, the flow process shown in Fig. 4 is from initialization step S410.In step S411, set tolerance limit T as above l.Described tolerance limit T alternatively lalso can be a predetermined fixed value.In step S413, initialization is for storing the buffer memory Buf of Pre-1/2Urms.Here initialization is such as empty this buffer memory.Alternatively, the Urms of one-period also can be stored in this buffer memory Buf as primary data by initialization step S413.In step S414, initialization is used for storing the buffer memory formerly recording data point (Recorded Point), such as, first Urms calculated and relevant timestamp thereof are saved as these initial formerly record data.
After initialization step completes, flow process enters course of normal operation.In course of normal operation, the voltage on electric energy quality detection device real-time sampling circuit.In the example shown in Figure 4 only for voltage sample, in actual use, also can sampled current value.In step S420, obtain the voltage sample value of current period, and calculate the Urms of current period thus, i.e. Cur_Urms.And then judge whether to need to record this Cur_Urms in step S430.Particularly, in step S435, by the difference △ 1/2Urms of the data point (that is, formerly recording data point) of the Cur_Urms calculated and precedence record and determined first tolerance limit T lcompare.If △ 1/2Urms exceeds tolerance limit T l, then show to need to record Cur_Urms, flow process proceeds to record operation part S440 and S450.If △ 1/2Urms does not exceed tolerance limit T l, then without the need to recording Cur_Urms, flow process advances to step S437.In step S437, by Cur_Urms and relevant timestamp thereof stored in buffer memory Buf, as the Pre-1/2Urms after upgrading, and then repeated execution of steps S420, to obtain the Urms in the cycle after half cycle.
If △ 1/2Urms exceeds tolerance limit T l, then flow process advances to step S440, to judge and to record half week wave front data, and then advances to step S450, to record current data Cur_Urms.Particularly, in step S441, first judge whether buffer memory Buf is empty (NULL).If be sky, show that Pre-1/2Urms is invalid value, otherwise flow process advances to step S445, the Pre-1/2Urms stored and correlation time thereof are stabbed record as a record data point in buffer memory Buf.After having recorded, in step S447, empty buffer memory Buf.Last in step S450, the current current data Cur_Urms that calculates and relevant timestamp thereof to be recorded as a record data point.After step S450, flow process gets back to the data that step S420 continues to obtain next half-wave.
Fig. 5 schematically illustrates the electric energy quality monitoring data and curves obtained according to the method shown in Fig. 4.Compared with the record data and curves shown in Fig. 3, the curve shown in Fig. 5 adds at least two record data point P1 and P2.P1 and P2 is in current data and formerly records the difference of data beyond tolerance limit T ltime the buffer memory Buf that records in half week wave front data.The data and curves so obtained is better relative to the continuity of curve shown in Fig. 3, and more can react actual change in voltage trend.
Fig. 6 shows the process flow diagram of electric energy quality monitoring method in accordance with another embodiment of the present invention.In figure 6, the step identical with Fig. 4 have employed identical Reference numeral, and the particular content of these steps refers to above, no longer repeats here.With Fig. 4 unlike, in the flow process shown in Fig. 6 in initialization step S511 except setting the first tolerance limit T loutside, also set a second tolerance limit Tc.Second tolerance limit Tc is used for judging whether to need to record Pre-1/2Urms.Such as, the second tolerance limit Tc is 1% ~ 6%.In addition, in figure 6, after step S441, also add step S543.In S543, judge the current Cur_Urms calculated further and whether be stored in the difference of the Pre-1/2Urms in Buf beyond the second tolerance limit Tc.If exceeded, then flow process advances to step S445 and S447, records the Pre-1/2Urms of institute buffer memory successively and situation buffer memory Buf after reordering.If the difference of the Pre-1/2Urms of Cur_Urms and institute's buffer memory is less than the second tolerance limit Tc, then without the need to recording the Pre-1/2Urms in Buf, and directly advance to step S447 and S450.The method shown in Fig. 6 of employing, only just records Pre-1/2Urms when the difference of the Pre-1/2Urms of Cur_Urms and institute's buffer memory is enough large.On the contrary, if the Pre-1/2Urms of Cur_Urms and institute's buffer memory closely, then without the need to recording Pre-1/2Urms, and by Cur_Urms for it, the amount of record data can be reduced so further, and do not affect recorded continuity.
Fig. 7 shows the process flow diagram of the electric energy quality monitoring method according to another embodiment of the present invention.Only depict emphatically the part being different from Fig. 4 and Fig. 6 in Fig. 7, other parts are omitted and are not drawn.In addition, step identical with Fig. 4 or Fig. 6 in Fig. 7 have employed identical Reference numeral, and the particular content of these steps refers to above, no longer repeats here.Different from Fig. 4 and Fig. 6, before step S435, add step S731 ~ S733 in Fig. 7.Newly-increased step is used for adopting the first different tolerance limit T to the voltage of different varied sections or different variation range l, so that with different susceptibility record related datas.Such as, the situation in user's range of interest is in for change in voltage, tolerance limit T lthe value that one less can be selected, so that recording voltage change details.On the contrary, change in voltage is in the situation of non-user range of interest, tolerance limit T lthe value that one larger can be selected, so that the megatrend of only recording voltage change.
Particularly, as shown in Figure 7, in step S731, power quality monitoring device judges that whether the difference of the current Cur_Urms and calculated a specified rms voltage Unom is beyond a predetermined tolerance threshold Th.Here the setting of tolerance threshold Th is for distinguishing the interested voltage change range of user, and uninterested voltage change range.Such as, if it is such as load voltage value root mean square 8% ~ 12% that change in voltage does not exceed threshold value Th(Th, be preferably 10%), then data belong to the unconcerned scope of user, without the need to providing high-resolution data record.On the contrary, beyond this threshold value, change in voltage then needs the data record of high-resolution, to carry out detailed analysis.In the present embodiment, suppose that the absolute value of the difference of current Cur_Urms and the Unom calculated is greater than threshold value Th, then advance to step S732, select a less tolerance limit T2 as tolerance limit T l.On the contrary, the absolute value of the difference of current Cur_Urms and the Unom calculated is less than threshold value Th, then advance to step S733, selects a larger tolerance limit T1 as tolerance limit T l.Preferably, T1 can be the twice of T2.Such as, if tolerance limit T2 is 2.5%, then T1 can be such as general 5%.And then, in step S435, according to determined tolerance limit T l, according to the mode identical with corresponding steps in Fig. 4 or Fig. 6, determine whether to need to record current half wave datum.If needed, then perform step S440 and S450 according to the mode similar with Fig. 4 or Fig. 6, otherwise turn back to step S420.
Fig. 5 also shows and adopts method shown in Fig. 7 to occurring that the voltage waveform of fluctuation and change is monitored and the result of data record.As shown in Figure 5, when voltage is in the interested scope of user relative to rated voltage change, data record is carried out, as shown in measuring point P3 and P4 with higher resolution.Thus, more data record is provided, to carry out further power quality analysis in the variation range adopting the method shown in Fig. 7 can be concerned about user.
Method shown in Fig. 4, Fig. 6 and Fig. 7 can adopt software to realize, and hardware or embedded programming also can be adopted to realize, and the mode that software and hardware can also be adopted to combine realizes.Fig. 8 schematically shows the structured flowchart of a kind of device for electric energy quality monitoring (or claiming power quality monitoring device).
As shown in Figure 8, the device of electric energy quality monitoring comprises initialization module 810, sampling module 820, computing module 830, judge module 840, first update module 850, second update module 860, first logging modle 870 and the second logging modle 880.
Particularly, initialization module 810 is for initialization two buffer areas, and one is for storing a half week wave front data Pre-1/2Urms, and another formerly records data point Recorded_Point for storing.Sampling module 820 obtains voltage (or electric current) sampled value of current cycle.Voltage (or electric current) sampled value that computing module 830 obtains based on sampling module 820, calculates voltage (or electric current) root-mean-square value (such as Cur_Urms) of current period.Judge module 840 judges the current data Cur_Urms calculated) whether exceed a predetermined first tolerance limit T with the difference formerly recording data point (Recorded_Point) l.First update module 850 in the judged result of judge module 840 for not exceed the first tolerance limit T ltime with current data Cur_Urms) and associated timestamp upgrade half week wave front data Pre-1/2Urms.First logging modle 870 in the judged result of judge module 840 for exceeding the first tolerance limit T ltime when described Pre-1/2Urms is effective value, will record as a data point at half week wave front data Pre-1/2Urms.Second logging modle 880 in the judged result of judge module 840 for exceeding the first tolerance limit T lcurrent data Cur_Urms and associated timestamp thereof also record as a data point by time.Second update module 860, after described second logging modle record completes, formerly records data point Recorded_Point described in upgrading with current data Cur_Urms.
More preferably, described initialization module 810 empties the buffer memory Buf for storing Pre-1/2Urms when carrying out initialization.First logging modle 850 is judging buffer memory Buf not as determining that Pre-1/2Urms is effective value time empty.And the first logging modle 870, after recording Pre-1/2Urms, empties buffer memory Buf.More preferably, the first logging modle 870 when buffer memory Buf is not empty, and then judges whether the difference of Cur_Urms and Pre-1/2Urms exceeds a second tolerance limit Tc.If exceeded, then show that described Pre-1/2Urms is effective value, can record.
Be to be understood that, although this instructions describes according to each embodiment, but not each embodiment only comprises an independently technical scheme, this narrating mode of instructions is only for clarity sake, those skilled in the art should by instructions integrally, technical scheme in each embodiment also through appropriately combined, can form other embodiments that it will be appreciated by those skilled in the art that.
The foregoing is only the schematic embodiment of the present invention, and be not used to limit scope of the present invention.Any those skilled in the art, the equivalent variations done under the prerequisite not departing from design of the present invention and principle, amendment and combination, all should belong to the scope of protection of the invention.

Claims (13)

1., for a method for electric energy quality monitoring, comprising:
Initialization one for store half week wave front data (Pre-1/2Urms) buffer memory and one formerly record the buffer memory of data point (Recorded_Point) for storing;
Obtain voltage or the current sampling data at least one cycle,
Based on obtained voltage or current sampling data, calculate voltage or the RMS current (Cur_Urms) of current period;
Judge whether the voltage of described current period or RMS current (Cur_Urms) and the described difference formerly recording data point (Recorded_Point) exceed a predetermined first tolerance limit (T l);
If do not exceeded, then upgrade described half week wave front data (Pre-1/2Urms) with the voltage of described current period or RMS current (Cur_Urms) and associated timestamp thereof, and continue to perform and obtain the voltage of subsequent cycle or the step of current sampling data;
If exceeded, then when described half week wave front data (Pre-1/2Urms) for effective value, using described half week wave front data (Pre-1/2Urms) record as a data point, and
If exceeded, then also the voltage of described current period or RMS current (Cur_Urms) and associated timestamp thereof are recorded as a data point, described in upgrading with the voltage of described current period or RMS current (Cur_Urms), formerly record data point (Recorded_Point) simultaneously.
2. the method for claim 1, wherein described initialization step comprises: empty for store described half week wave front data (Pre-1/2Urms) buffer memory;
And, described half week wave front data (Pre-1/2Urms) be effective value situation also comprises: if described half week wave front data (Pre-1/2Urms) for empty, then show described half week wave front data (Pre-1/2Urms) be effective value; And
Described half week wave front data (Pre-1/2Urms) step recorded as a data point is also comprised; After recording described half week wave front data (Pre-1/2Urms), empty described for store half week wave front data (Pre-1/2Urms) buffer memory.
3. method as claimed in claim 2, wherein, described half week wave front data (Pre-1/2Urms) be effective value situation also comprises:
If described half week wave front data (Pre-1/2Urms) be not empty, then so judge the voltage of described current period or RMS current (Cur_Urms) with described half week wave front data (Pre-1/2Urms) difference whether exceed second tolerance limit (Tc);
If exceeded, then show described half week wave front data (Pre-1/2Urms) be effective value.
4. as the method in claim 1-3 as described in any one, wherein, described the first predetermined tolerance limit (T l) be at least the first sub-tolerance limit (T 1) and the second sub-tolerance limit (T 2one of) in, and described first sub-tolerance limit (T 1) be greater than described second sub-tolerance limit (T 2), and
Judge whether the voltage of described current period or RMS current (Cur_Urms) and the described difference formerly recording data point (Recorded_Point) exceed a predetermined first tolerance limit (T l) also comprise:
Judge whether the difference of the voltage of current period or RMS current (Cur_Urms) and a specified voltage or electric current mean square value (Unom) exceeds a predetermined tolerance threshold (Th);
If do not exceed described predetermined tolerance threshold (Th), then described predetermined first tolerance limit (T l) be the first sub-tolerance limit (T 1), otherwise described predetermined first tolerance limit (T l) be the second tolerance limit (T 2),
Wherein said predetermined threshold value (Th) is greater than described first sub-tolerance limit (T 1) and the second sub-tolerance limit (T 2) in arbitrary.
5. method as claimed in claim 4, wherein, described predetermined tolerance threshold is 8% ~ 12% of specified voltage or electric current mean square value.
6. method as claimed in claim 4, wherein, described first sub-tolerance limit is the twice of the second sub-tolerance limit.
7. the method for claim 1, wherein described predetermined first tolerance limit (T l) be 1% ~ 6% of rated voltage or electric current mean square value.
8. the method for claim 1, wherein described predetermined second tolerance limit (Tc) is rated voltage or electric current mean square value 1% ~ 6%.
9., for a device for electric energy quality monitoring, comprising:
Initialization module (810), formerly records data point (Recorded_Point) for initialization half week wave front data (Pre-1/2Urms) and one;
Sampling module (820), for obtaining voltage or the current sampling data of at least one cycle,
Computing module (830), based on obtained voltage or current sampling data, calculates voltage or the RMS current (Cur_Urms) of current period;
Judge module (840), judges whether the voltage of described current period or RMS current (Cur_Urms) and the described difference formerly recording data point (Recorded_Point) exceed a predetermined first tolerance limit (T l);
First update module (850), if the judged result of judge module is not for exceed the first tolerance limit (T l), then upgrade described half week wave front data (Pre-1/2Urms) with the voltage of described current period or RMS current (Cur_Urms) and associated timestamp thereof;
First logging modle (870), if the judged result of judge module is for exceeding the first tolerance limit (T l), then when described half week wave front data (Pre-1/2Urms) for effective value, using described half week wave front data (Pre-1/2Urms) record as a data point, and
Second logging modle (880), if the judged result of judge module is for exceeding the first tolerance limit (T l), then also the voltage of described current period or RMS current (Cur_Urms) and associated timestamp thereof are recorded as a data point;
Second update module (860), after described second logging modle record completes, formerly records data point (Recorded_Point) described in upgrading with the voltage of described current period or RMS current (Cur_Urms).
10. device as claimed in claim 9, wherein,
Described initialization module (810) empty for store described half week wave front data (Pre-1/2Urms) buffer memory;
Described first logging modle (870) judge described half week wave front data (Pre-1/2Urms) not as determine time empty described half week wave front data (Pre-1/2Urms) be effective value; And
Described first logging modle (870) after recording described half week wave front data (Pre-1/2Urms), empty described for store half week wave front data (Pre-1/2Urms) buffer memory.
11. devices as claimed in claim 10, wherein, described first logging modle (870) when described half week wave front data (Pre-1/2Urms) be not empty, and then judge the voltage of described current period or RMS current (Cur_Urms) with described half week wave front data (Pre-1/2Urms) difference whether exceed second tolerance limit (Tc); If exceeded, then show described half week wave front data (Pre-1/2Urms) be effective value.
12. devices as claimed in claim 1, wherein, described predetermined first tolerance limit (T l) be 1% ~ 6% of rated voltage or electric current mean square value.
13. devices as claimed in claim 1, wherein, described predetermined second tolerance limit (Tc) is rated voltage or electric current mean square value 1% ~ 6%.
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