CN102170124B - Early warning method of stable-state index of power quality - Google Patents

Early warning method of stable-state index of power quality Download PDF

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CN102170124B
CN102170124B CN 201110067687 CN201110067687A CN102170124B CN 102170124 B CN102170124 B CN 102170124B CN 201110067687 CN201110067687 CN 201110067687 CN 201110067687 A CN201110067687 A CN 201110067687A CN 102170124 B CN102170124 B CN 102170124B
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power quality
index
early warning
described
data
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CN 201110067687
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CN102170124A (en
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郑爱霞
李群
刘建坤
袁晓冬
吴志
顾伟
陈兵
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江苏省电力公司电力科学研究院
江苏省电力公司
国家电网公司
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Abstract

The invention discloses an early warning method of stable-state index of power quality. The method is realized by support from a power quality online monitoring device and a computer. The method is characterized by comprising the following steps of: (1) selecting power quality indexes in advance, including voltage deviation, voltage total harmonic wave, short time flicking, etc, and setting early warning threshold values at four grades; (2) acquiring power quality data in real time, and analyzing each power quality index to carry out early warning grading; and (3) saving the values calculated and a final early warning grade into a database. The early warning method of stable-state index of power quality establishes an early warning structure with two types, including index standard-exceeding type and index abnormal type, and four grades, and adopts time sequence mining algorithm based on high-order statistics in abnormal mining link to analyze potential abnormity of power quality data with skewness and peakedness. Practice proves that the early warning method is clear in hierarchy, high in algorithm efficiency, strong in accuracy and good in operability. The early warning method is high-efficient and comprehensive.

Description

A kind of stable-state index of power quality method for early warning

Technical field

The present invention relates to a kind of electric energy quality monitoring technology, especially for the electric energy quality monitoring technology of electric power system and power consumer power distribution network.

Background technology

Can being defined as simply of the quality of power supply: the voltage, electric current or the frequency departure that cause subscriber equipment fault or cisco unity malfunction.Only definition just can be found out the importance of the quality of power supply thus.

Along with the fast development of national electric railway, the grid integration of large-scale wind generating, the extensive use of novel electric power electric equipment, the power quality problem that causes therefrom is more and more serious; And follow the construction of intelligent grid, microgrid, the quality of power supply will more be paid close attention to as pith wherein.For this reason, quality of power supply situation all stepping up to build corresponding electric energy quality monitoring platform, is grasped in national many provinces comprehensively.Quality of power supply early warning can be analyzed existence or potential power quality problem in the electric energy quality monitoring data as one of critical function of monitor supervision platform, and this is to supplier of electricity with significant per family.For supplier of electricity, grasp the whole network quality of power supply situation, understand the quality of power supply and exceed standard and abnormal circuit, impel power quality problem to administer, prevent its deterioration; For user's sensitive users particularly, understand the quality of power supply of self institute's electricity consumption, foundation is provided for fixing price according to quality.This shows, a kind of quality of power supply method for early warning of reasonable fast finds to exist and potential power quality problem, for the safe operation of electrical network provides safeguard, gives full play to the great function of electric energy quality monitoring platform.To this, also there are many mechanisms all this to be conducted in-depth research.For example, Chinese patent CN01129880.4, CN200720045366.6, CN200410064584.5 and CN200710012150.4 philosophy disclose multiple equipment for monitoring power quality or method.But these patents substantially all concentrate on the acquisition method or device that solves power quality data; For the processing of the power quality data after gathering or do not relate to or do not elaborate.

In fact, be a most important link in whole power quality analysis to analysis and the processing of power quality data, particularly developed to get today of comparative maturity at the device of data acquisition.The setting of early warning line which power quality index to estimate the quality of power supply and each index with is extremely important.Power quality index has a variety of, and wherein great majority have national standard, and only the contrast of need and national standard just can know whether this index exceeds standard.For example, " quality of power supply admissible deviation of supply volt-age " (GBl2325-1990) stipulates electric power system under normal running (operation) conditions, and the permissible variation of user's receiving end supply power voltage is: (1) 35kY and above power supply and user that quality of voltage is had a specific (special) requirements are no more than 10% for the positive and negative deviation absolute value sum of rated voltage; (2) 10kV and following high voltage supply and low voltage three-phase user are rated voltage+7%~-7%; (3) the single-phase user of 220V low pressure is rated voltage+7%~-10%.

The early warning line of power quality index arranges De Taigao and easily causes early warning untimely, causes system to fail in time to find that some extremely causes the accident or cause some less abnormal data information dropouts; Early warning line arranges to such an extent that too lowly easily cause the frequent early warning of system and cause the waste of unnecessary manpower.

Summary of the invention

The objective of the invention is for the deficiencies in the prior art, provide a kind of monitoring a plurality of power quality indexs, and this index is carried out the Index For Steady-state method for early warning of grading forewarning system.

In order to realize above-mentioned purpose, the present invention takes following technical scheme to realize:

A kind of stable-state index of power quality method for early warning of the present invention is realized under the support of quality of power supply on-line monitoring device and computer, it is characterized in that: comprise the following steps:

1) according to the power quality index of actual conditions chosen in advance monitoring, described power quality index comprises one or more in following index: voltage deviation, the total harmonic wave of voltage, voltage tri-phase unbalance factor, short time flicker, 2 ~ 25 voltage harmonics and 2 ~ 25 primary current harmonic waves; And according to national standard, set the early warning threshold values of four grades for each selected described power quality index;

2) by described quality of power supply on-line monitoring device Real-time Collection power quality data, and with its input computer;

3) for 2) in the described power quality data that gathers, by computer respectively by 1) in the described power quality index selected it is analyzed, for each described power quality index wherein, the step of its analysis includes:

3.1) calculate the mean value on this index same day and the standard deviation of described power quality data by computer;

3.2) with 1) and in the standard deviation of the described power quality data that calculates compare with the corresponding national standard of this index, if in the national standard scope regard it as normal data; Otherwise, regard it as the data that exceed standard;

3.3) for step 3.2) the middle data that exceed standard that draw of analyzing, add up this index number of times that exceeds standard on the same day, if the number of times that exceeds standard of this index surpasses the third level threshold values in described early warning threshold values provides three grades of early warning; Otherwise, if it surpasses the fourth stage threshold values in described early warning threshold values provides the level Four early warning.

3.4) for step 3.2) the middle normal data that draws of analyzing, carry out 95% probable value and detect, and it is carried out corresponding grading forewarning system;

3.5) step 3.4) and in do not carry out the data that early warning processes and carry out Outlier mining, and carry out grading forewarning system according to analysis result;

4) numerical value and the final advanced warning grade that above each step are calculated are preserved into database, and the human-computer interaction interface that shows and inquire about is provided.

Preferably, 95% probable value described step 3.4) detects and comprises the following steps:

1) read 95% probable value of this index of data on the same day from database;

2) if above-mentioned 95% probable value more than or equal to set three grade of 95% probability threshold value, provides three grades of early warning; Otherwise, if 95% probable value provides the secondary early warning more than or equal to set secondary 95% probability threshold value;

Preferably, described step 2) and 3) between also be provided with data integrity degree check, refer to corresponding national standard according to this, the integrity degree of the described power quality data of check, the undesirable described power quality data of integrity degree is considered as undesired data, and it is not carried out subsequent analysis.

Preferably, described step 3.5), Outlier mining comprises the following steps:

1) according to the size of this target setting sliding window;

2) calculate the expected value and standard deviation of this index in designated period of time;

3) calculate each described sliding window interior degree of bias and kurtosis and their product;

4) add up maximum and the mean value of the product of the degree of bias in each described sliding window and kurtosis, if its maximum or mean value surpass first order threshold values or second level threshold values in described early warning threshold values, correspondingly carry out one-level or secondary early warning.

Preferably, the described designated period of time described step 2) is previous month.

Preferably, the described designated period of time described step 2) is the same day.

The second preferred embodiment of a kind of stable-state index of power quality method for early warning of the present invention is to realize under the support of quality of power supply on-line monitoring device and computer, and it is characterized in that: it comprises the following steps:

1) according to the power quality index of actual conditions chosen in advance monitoring, described power quality index comprises one or more in following index: negative-sequence current, zero-sequence current; And set the early warning threshold values of two grades for each selected described power quality index;

2) by described quality of power supply on-line monitoring device Real-time Collection power quality data, and with its input computer;

3) for 2) in the described power quality data that gathers, by computer respectively by 1) in the described power quality index selected it is analyzed, for each described power quality index wherein, the step of its analysis comprises:

3.1) calculate the mean value on this index same day and the standard deviation of described power quality data by computer;

3.2) described power quality data is carried out Outlier mining, and carry out grading forewarning system according to analysis result;

4) numerical value and the final advanced warning grade that above each step are calculated are preserved into database, and the human-computer interaction interface that shows and inquire about is provided.

Preferably, described step 3.2), Outlier mining comprises the following steps:

1) according to the size of this target setting sliding window;

2) calculate the expected value and standard deviation of this index in designated period of time;

3) calculate each described sliding window interior degree of bias and kurtosis and their product;

4) add up maximum and the mean value of the product of the degree of bias in each described sliding window and kurtosis, if its maximum or mean value surpass first order threshold values or second level threshold values in described early warning threshold values, correspondingly carry out one-level or secondary early warning.

Preferably, the described designated period of time described step 2) is previous month.

Preferably, the described designated period of time described step 2) is the same day.

A kind of stable-state index of power quality method for early warning of the present invention has been set up index exceeding standard and abnormal two kinds, the early warning structure of four grades; In the abnormal link of excavating, adopt the time series mining algorithm based on high-order statistic simultaneously, utilize the degree of bias and kurtosis that potential power quality data is analyzed extremely, facts have proved that this method for early warning is well arranged, comprehensively efficient, efficiency of algorithm is high, accuracy is strong, and operability is good.

Description of drawings

Fig. 1 is the FB(flow block) of the first preferred embodiment of the present invention;

Fig. 2 is the FB(flow block) of the second preferred embodiment of the present invention;

Fig. 3 is the FB(flow block) of monitoring modular of exceeding standard;

Fig. 4 is the FB(flow block) of 95% probable value detection module;

Fig. 5 is the FB(flow block) of Outlier mining module.

Embodiment

Below in conjunction with accompanying drawing, the present invention is specifically described as follows:

A kind of stable-state index of power quality method for early warning of the present invention is to realize under the support of quality of power supply on-line monitoring device and computer.At first will be according to the power quality index of actual conditions chosen in advance monitoring, method for early warning of the present invention is applicable to following index: voltage deviation, the total harmonic wave of voltage, voltage tri-phase unbalance factor, short time flicker, 2 ~ 25 voltage harmonics and 2 ~ 25 primary current harmonic waves.These methods have national standard separately, can set the early warning threshold values of four grades for each selected index; In case surpass corresponding threshold values, system sends corresponding early warning immediately.According to the harmfulness of situation separately, the early warning threshold values is set: for the data that exceed standard, be provided with three grades and two early warning threshold values of level Four and carry out early warning; And detect for 95% probable value, be provided with secondary and three grades of two early warning threshold values; For Outlier mining, be provided with two early warning threshold values of firsts and seconds.Can adopt different quality of power supply on-line monitoring devices to carry out the Real-time Collection power quality data according to selected index.At present, the device comparative maturity of electric energy quality monitoring can be selected as required.

As shown in Figure 1, the power quality data of collection is imported into computer and analyzes for each selected index, and wherein the corresponding analytical procedure of each index includes:

At first, the integrity degree of first check data.First screening is fallen due to the wrong of on-line monitoring device or absurd data that other unknown error causes, avoids the analysis result that must make mistake because of it.

Secondly, calculate desired value and the standard variance of this index, can add up as sample take the data of previous month, also can adopt the data on the same day as sample.And with this as standard, the data that gather are compared with it, if data surpass corresponding threshold values, carry out by the monitoring modular analysis that exceeds standard; Otherwise, carry out 95% probable value and detect.The normal data that 95% probable value is checked out in detecting also will be carried out Outlier mining, further detects abnormal data wherein.The result that final modules detects all is written into database and preserves.

As shown in Figure 3, exceed standard in monitoring modular, at first add up this index number of times that exceeds standard on the same day, after the number of times that exceeds standard surpasses respective threshold, directly provide corresponding early warning: if the number of times that exceeds standard of this index surpasses the fourth stage threshold values in described early warning threshold values provides the level Four early warning; Otherwise, if it surpasses the third level threshold values in described early warning threshold values provides three grades of early warning.

As shown in Figure 4, in 95% probable value detection module, at first obtain this index 95% probable value on the same day, if 95% probable value is more than or equal to three grade of 95% probability threshold value, provide three grades of early warning, if 95% probable value provides the secondary early warning more than or equal to secondary 95% probability threshold value.

As shown in Figure 5, in the Outlier mining module, at first determine the size of sliding window, desired value and standard variance are (if can get mean value and the standard side of previous month data, utilize the desired value and the standard variance that relate in these two value set algorithms, otherwise be set as mean value and the standard variance of this day data); Begin to calculate the degree of bias and kurtosis in each sliding window and both products from first window; Determine the maximum of the interior degree of bias of all sliding windows and kurtosis product, if product surpasses threshold value, check mean value or maximum in corresponding sliding window whether to surpass respective threshold, if at least one satisfies condition in two conditions, decision data is set up extremely, determines quality of power supply advanced warning grade.The last write into Databasce of final result is preserved.

A kind of stable-state index of power quality method for early warning of the present invention can also be monitored negative-sequence current, and zero-sequence current utilizes negative-sequence current, and the ratio of zero-sequence current and forward-order current is as analytic target.For negative-sequence current, zero-sequence current owing to there is no the respective country standard, as shown in Figure 2, directly carries out data exception and excavates, and does not detect and the detection of 95% probable value and do not exceed standard.

Above-described embodiment limits the present invention never in any form, and all employings are equal to replaces or technical scheme that the mode of equivalent transformation obtains, within all dropping on protection scope of the present invention.

Claims (10)

1. a stable-state index of power quality method for early warning, realize under the support of quality of power supply on-line monitoring device and computer, and it is characterized in that: it comprises the following steps:
1) according to the power quality index of actual conditions chosen in advance monitoring, described power quality index comprises one or more in following index: voltage deviation, the total harmonic wave of voltage, voltage tri-phase unbalance factor, short time flicker, 2 ~ 25 voltage harmonics and 2 ~ 25 primary current harmonic waves; And according to national standard, set the threshold value of warning of four grades for each selected described power quality index;
2) by described quality of power supply on-line monitoring device Real-time Collection power quality data, and with its input computer;
3) for step 2) in the described power quality data that gathers, by computer respectively by 1) in the described power quality index selected it is analyzed, for each described power quality index wherein, the step of its analysis includes:
3.1) calculate the mean value on this index same day and the standard deviation of described power quality data by computer;
3.2) with 3.1) and in the standard deviation of the described power quality data that calculates compare with the corresponding national standard of this index, if in the national standard scope regard it as normal data; Otherwise, regard it as the data that exceed standard;
3.3) for step 3.2) the middle data that exceed standard that draw of analyzing, add up this index number of times that exceeds standard on the same day, if the number of times that exceeds standard of this index surpasses the third level threshold value in described threshold value of warning provides three grades of early warning; Otherwise, if it surpasses the fourth stage threshold value in described threshold value of warning provides the level Four early warning;
3.4) for step 3.2) the middle normal data that draws of analyzing, carry out 95% probable value and detect, it is carried out corresponding grading forewarning system;
3.5) step 3.4) and in do not carry out the data that early warning processes and carry out Outlier mining, and carry out grading forewarning system according to analysis result;
4) numerical value and the final advanced warning grade that above each step are calculated are preserved into database, and the human-computer interaction interface that shows and inquire about is provided.
2. a kind of stable-state index of power quality method for early warning according to claim 1 is characterized in that: 95% probable value described step 3.4) detects and comprises the following steps:
Read 95% probable value of this index data on the same day from database;
If above-mentioned 95% probable value provides three grades of early warning more than or equal to set three grade of 95% probability threshold value; Otherwise, if 95% probable value provides the secondary early warning more than or equal to set secondary 95% probability threshold value.
3. one of them described a kind of stable-state index of power quality method for early warning according to claim 1 and 2, it is characterized in that: described step 2) and 3) between also be provided with data integrity degree check, national standard corresponding according to this index, check the integrity degree of described power quality data, the undesirable described power quality data of integrity degree is considered as undesired data, and it is not carried out subsequent analysis.
4. one of them described a kind of stable-state index of power quality method for early warning according to claim 1 and 2, it is characterized in that: described step 3.5), Outlier mining comprises the following steps:
1) according to the size of this target setting sliding window;
2) calculate the expected value and standard deviation of this index in designated period of time;
3) calculate each described sliding window interior degree of bias and kurtosis and their product;
4) add up maximum and the mean value of the product of the degree of bias in each described sliding window and kurtosis, if its maximum or mean value surpass first order threshold value or second level threshold value in described threshold value of warning, correspondingly carry out one-level or secondary early warning.
5. a kind of stable-state index of power quality method for early warning according to claim 4 is characterized in that: the described designated period of time each described step 2) is previous month.
6. a kind of stable-state index of power quality method for early warning according to claim 4, it is characterized in that: the described designated period of time each described step 2) is the same day.
7. a stable-state index of power quality method for early warning, be to realize under the support of quality of power supply on-line monitoring device and computer, and it is characterized in that: it comprises the following steps:
1) according to the power quality index of actual conditions chosen in advance monitoring, described power quality index comprises one or more in following index: negative-sequence current, zero-sequence current; And set the threshold value of warning of two grades for each selected described power quality index;
2) by described quality of power supply on-line monitoring device Real-time Collection power quality data, and with its input computer;
3) for 2) in the described power quality data that gathers, by computer respectively by 1) in the described power quality index selected it is analyzed, for each described power quality index wherein, the step of its analysis comprises:
3.1) calculate the mean value on this index same day and the standard deviation of described power quality data by computer;
3.2) described power quality data is carried out Outlier mining, and carry out grading forewarning system according to analysis result;
4) numerical value and the final advanced warning grade that above each step are calculated are preserved into database, and the human-computer interaction interface that shows and inquire about is provided.
8. a kind of stable-state index of power quality method for early warning according to claim 7, it is characterized in that: described step 3.2), Outlier mining comprises the following steps:
1) according to the size of this target setting sliding window;
2) calculate the expected value and standard deviation of this index in designated period of time;
3) calculate each described sliding window interior degree of bias and kurtosis and their product;
4) add up maximum and the mean value of the product of the degree of bias in each described sliding window and kurtosis, if its maximum or mean value surpass first order threshold value or second level threshold value in described threshold value of warning, correspondingly carry out one-level or secondary early warning.
9. a kind of stable-state index of power quality method for early warning according to claim 8 is characterized in that: the described designated period of time each described step 2) is previous month.
10. a kind of stable-state index of power quality method for early warning according to claim 8, it is characterized in that: the described designated period of time each described step 2) is the same day.
CN 201110067687 2011-03-21 2011-03-21 Early warning method of stable-state index of power quality CN102170124B (en)

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Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102654531B (en) * 2011-03-04 2015-05-20 国网河南省电力公司电力科学研究院 Remedying method and remedying device of lacked electric energy qualitative data
CN102508900B (en) * 2011-11-04 2014-04-02 国电南京自动化股份有限公司 Method for analyzing and setting FTU (Feeder Terminal Unit) threshold value based on variation order-statistics
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CN102636713A (en) * 2012-04-05 2012-08-15 上海市电力公司 Monitoring method for electric energy quality of distributed wind power generation
CN102768301B (en) * 2012-08-13 2014-06-11 广东电网公司中山供电局 Method and device for on-line determining withdrawal and compensation electric quantity in three-phase four-wire two-phase current loss
CN102778605B (en) * 2012-08-13 2014-07-23 广东电网公司中山供电局 Method and device for carrying out online determination on given and appended electric quantity of three-phase four-wire system in process of one-phase current losing
CN102830280B (en) * 2012-08-13 2014-09-10 广东电网公司中山供电局 Method and device for online determining returned and compensated electric quantity for three-phase three-wire current loss
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CN103617568B (en) * 2013-12-06 2017-02-15 国家电网公司 Setting method for abnormal data determination threshold in steady-state power quality early-warning mechanism
CN103824129B (en) * 2014-02-26 2017-05-17 国家电网公司 High-speed rail power quality abnormal condition prewarning method based on dynamic threshold
CN103928923B (en) * 2014-03-24 2016-02-24 东南大学 A kind of network stationary power quality method for early warning based on sensitivity analysis
CN103915900B (en) * 2014-04-18 2017-09-12 上海电科智能系统股份有限公司 A kind of track traffic electric power monitors DC load monitoring method
CN104330694A (en) * 2014-06-30 2015-02-04 国家电网公司 Method for analyzing and diagnosing real-time state of line online by utilizing harmonic amount
CN105825315A (en) * 2015-01-09 2016-08-03 国家电网公司 Electric energy quality early warning method
CN104682384B (en) * 2015-02-03 2017-12-15 国家电网公司 Cause the evaluation method of voltage ripple of power network after grid-connected
CN104880637B (en) * 2015-06-26 2017-11-10 青岛海能阿尔派轨道电力设备工程科技有限公司 A kind of electric parameter safety monitoring method
CN105445577B (en) * 2015-11-12 2019-03-22 全球能源互联网研究院 A kind of power quality interference source industry and mining city method
CN105607029B (en) * 2016-01-08 2018-08-03 江苏省电力公司电力科学研究院 A kind of electric power metering device running quality trend analysis based on standard deviation
CN105591396B (en) * 2016-02-29 2018-06-26 国家电网公司 The three-phase imbalance guard method of the distribution transformer of low-voltage distributing line and device
CN106997391A (en) * 2017-04-10 2017-08-01 华北电力大学(保定) A kind of method of steady state condition data in quick screening large scale process data
CN107732902A (en) * 2017-10-12 2018-02-23 国网河北能源技术服务有限公司 Power distribution network economical operation monitoring and evaluation method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1416197A (en) * 2001-11-04 2003-05-07 深圳市领步科技有限公司 System for on-line monitoring quality of electricity and monitoring method
CN101726678A (en) * 2008-10-30 2010-06-09 华北电力科学研究院有限责任公司 Electricity quality evaluation system and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005261152A (en) * 2004-03-15 2005-09-22 Toshiba Corp Distribution system monitoring and controlling system and watt-hour meter with system monitoring function

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1416197A (en) * 2001-11-04 2003-05-07 深圳市领步科技有限公司 System for on-line monitoring quality of electricity and monitoring method
CN101726678A (en) * 2008-10-30 2010-06-09 华北电力科学研究院有限责任公司 Electricity quality evaluation system and method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JP特开2005-261152A 2005.09.22
江辉等.基于概率统计和矢量代数的电能质量归一量化与评价.《湖南大学学报(自然科学版)》.2003,第30卷(第1期),66-70. *

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