CN112068064B - Method for calculating errors of operation three-phase voltage transformer with background influence subtracted - Google Patents
Method for calculating errors of operation three-phase voltage transformer with background influence subtracted Download PDFInfo
- Publication number
- CN112068064B CN112068064B CN202010988824.XA CN202010988824A CN112068064B CN 112068064 B CN112068064 B CN 112068064B CN 202010988824 A CN202010988824 A CN 202010988824A CN 112068064 B CN112068064 B CN 112068064B
- Authority
- CN
- China
- Prior art keywords
- phase
- phase voltage
- voltage transformer
- voltage
- matrix
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 239000011159 matrix material Substances 0.000 claims abstract description 35
- 238000004364 calculation method Methods 0.000 claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000008859 change Effects 0.000 claims abstract description 10
- 238000000819 phase cycle Methods 0.000 claims abstract description 9
- 238000004804 winding Methods 0.000 claims abstract description 9
- 230000000694 effects Effects 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims abstract description 4
- 238000005457 optimization Methods 0.000 claims abstract 2
- 238000000513 principal component analysis Methods 0.000 claims description 15
- 238000005259 measurement Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 239000006185 dispersion Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 4
- 230000005856 abnormality Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 11
- 238000002474 experimental method Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 7
- 230000008901 benefit Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 239000012634 fragment Substances 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012847 principal component analysis method Methods 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
- Measurement Of Current Or Voltage (AREA)
Abstract
Description
技术领域technical field
本发明涉及电压互感器误差计算领域，特别是一种扣除背景影响量的运行三相电压互感器误差计算方法。The invention relates to the field of error calculation of voltage transformers, in particular to a method for calculating errors of operating three-phase voltage transformers after deducting background influence quantities.
背景技术Background technique
电力系统的稳定运行与安全可靠发展是重点民生问题。统计数据显示，2012年全国电力消费总量达49726.64亿千瓦小时，2015年全国电力消费总量达58019.91亿千瓦小时，涨幅达16.67％，为社会的全面发展做出了举足轻重的作用。在电力系统迅速发展的同时，用户对电网的运行可靠性提出了越来越高的要求；作为电力系统中关键的信号提供设备，互感器的作用是实现一次侧高压部分与二次设备可靠的电气隔离，并在保证二次设备和用电安全的情况下实现一次电压、电流的准确测量，以便提供电能计量、状态监控和继电保护的可靠依据，保证电力系统的安全、稳定和经济运行；然而，长期运行发现互感器在长期运行中受到外界和内在双重不稳定因素影响，在实际运行过程中会出现超差现象，特别是电容式电压互感器(CVT)。根据多年的现场运行经验，110kV及以上电压等级的互感器中，CVT的故障率约为电磁式电压互感器的五倍，是电磁式电流互感器的10倍；因此，需要对运行中电压互感器的准确性开展评估分析。The stable operation and safe and reliable development of the power system are key livelihood issues. Statistics show that in 2012, the total national electricity consumption reached 4,972.664 billion kwh, and in 2015, the total national power consumption reached 5,801.991 billion kwh, an increase of 16.67%, which has played a pivotal role in the overall development of society. With the rapid development of the power system, users have put forward higher and higher requirements for the operation reliability of the power grid; as the key signal providing equipment in the power system, the role of the transformer is to realize the reliable connection between the high-voltage part of the primary side and the secondary equipment. Electrical isolation, and accurate measurement of primary voltage and current under the condition of ensuring the safety of secondary equipment and electricity consumption, so as to provide reliable basis for power metering, status monitoring and relay protection, and ensure the safe, stable and economical operation of the power system ; However, the long-term operation found that the transformer is affected by external and internal dual unstable factors in the long-term operation, and there will be out-of-tolerance phenomena in the actual operation process, especially the capacitor voltage transformer (CVT). According to many years of field operation experience, among transformers with a voltage level of 110kV and above, the failure rate of CVT is about five times that of electromagnetic voltage transformers, and 10 times that of electromagnetic current transformers; The accuracy of the device is evaluated and analyzed.
发明内容Contents of the invention
本发明的目的就是提供一种扣除背景影响量的运行三相电压互感器误差计算方法，他可以用于电压互感器误差的计算。The purpose of the present invention is to provide a method for calculating the error of the running three-phase voltage transformer after deducting the influence of the background, which can be used for the calculation of the error of the voltage transformer.
本发明的目的是通过这样的技术方案实现的，它包括以下步骤：The object of the present invention is achieved by such technical scheme, and it comprises the following steps:
1)采集两组运行三相电压互感器的计量绕组三相信号，获得两组三相电压互感器采集的数据矩阵X1、X2，运行的两组三相电压互感器为同一电压等级，且运行的两组三相电压互感器的三相信号为同相序三相电压等比例变化信号；1) Collect the three-phase signals of the metering windings of two sets of operating three-phase voltage transformers, and obtain the data matrices X 1 and X 2 collected by the two sets of three-phase voltage transformers. The two sets of operating three-phase voltage transformers are of the same voltage level, And the three-phase signals of the two sets of three-phase voltage transformers in operation are equal-proportional change signals of the same-phase sequence three-phase voltage;
2)对采集到的两组三相信号数据矩阵X1、X2进行数据处理，将处理后的两组三相电压相减得到差值数据X；2) Perform data processing on the collected two sets of three-phase signal data matrices X 1 and X 2 , and subtract the processed two sets of three-phase voltages to obtain difference data X;
3)利用差值数据X开展优化主元分析计算，得到效应量的加权离均差平方和Q的统计量；3) Use the difference data X to carry out optimized principal component analysis and calculation, and obtain the statistics of the square sum Q of the weighted deviation from the mean of the effect size;
4)利用Q统计量判定三相电压互感器的运行状态。4) Use the Q statistic to determine the operating status of the three-phase voltage transformer.
进一步，步骤1)中所述运行三相电压互感器为同一电压等级的具体条件是：三相电压互感器一次电压等级范围为35～1000kV，准确度等级为0.2级或0.5级；Further, the specific conditions for operating the three-phase voltage transformers at the same voltage level as described in step 1) are: the primary voltage level of the three-phase voltage transformer ranges from 35 to 1000 kV, and the accuracy level is 0.2 or 0.5;
步骤1)中所述同相序三相电压等比例变化的具体条件是：多组三相电压互感器的A相电压、B相电压和C相电压，各自等比例变化；Step 1) The specific conditions for the proportional change of the same-phase sequence three-phase voltages are: the A-phase voltage, the B-phase voltage and the C-phase voltage of multiple groups of three-phase voltage transformers are respectively proportionally changed;
步骤1)中所述采集两组运行三相电压互感器的计量绕组三相信号为模拟信号采样，具体方法为：采用模拟采样电路板实现采样，高速采集频率大于等于12.8kHz，两组三相电压互感器的数据矩阵X1、X2；其中：The three-phase signals of the metering windings of two sets of operating three-phase voltage transformers described in step 1) are collected as analog signal sampling. Data matrix X 1 , X 2 of voltage transformer; where:
其中：为第一组中A相电压互感器采集的电压值；/>为第一组中B相电压互感器采集的电压值；/>为第一组中C相电压互感器采集的电压值；/>为第二组中A相电压互感器采集的电压值；/>为第二组中B相电压互感器采集的电压值；/>为第二组中C相电压互感器采集的电压值；n为采集的样本数。in: It is the voltage value collected by the phase A voltage transformer in the first group; /> It is the voltage value collected by the B-phase voltage transformer in the first group; /> is the voltage value collected by the C-phase voltage transformer in the first group; /> It is the voltage value collected by the phase A voltage transformer in the second group; /> It is the voltage value collected by the B-phase voltage transformer in the second group; /> is the voltage value collected by the C-phase voltage transformer in the second group; n is the number of samples collected.
进一步，对采集到的两组三相信号数据矩阵X1、X2进行数据处理，将处理后的两组三相电压相减得到差值数据X的具体方法为：Further, data processing is performed on the collected two sets of three-phase signal data matrices X 1 and X 2 , and the specific method for subtracting the processed two sets of three-phase voltages to obtain difference data X is as follows:
差值数据X计算为：The difference data X is calculated as:
X＝X1-X2 (1)。X = X 1 -X 2 (1).
进一步，步骤3)中利用差值数据X开展优化主元分析计算的具体步骤如下：Further, in step 3), the specific steps of using the difference data X to carry out the optimized principal component analysis calculation are as follows:
3-1)将差值数据矩阵X进行分解：3-1) Decompose the difference data matrix X:
式中，为差值数据矩阵X的主元子空间模型，E＝TePe T为数据矩阵X的残差子空间模型。T为主元得分矩阵，P为主元载荷矩阵，Te为残差得分矩阵，Pe为残差载荷矩阵；In the formula, is the principal component subspace model of the difference data matrix X, and E=T e P e T is the residual subspace model of the data matrix X. T is the main component score matrix, P is the main component load matrix, T e is the residual score matrix, and P e is the residual load matrix;
3-2)对差值数据矩阵X的协方差矩阵进行奇异值分解，得到载荷矩阵P和Pe：3-2) Singular value decomposition is performed on the covariance matrix of the difference data matrix X to obtain load matrices P and P e :
R＝XTX/(N-1)＝[PPe]Λ[PPe]T (3)R=X T X/(N-1)=[PP e ]Λ[PP e ] T (3)
式中，Λ＝diag(λ1，λ2，...λm)，λ1≥λ2≥...≥λm为协方差矩阵R的特征值，[PPe]为对应的特征向量组成的负荷向量；In the formula, Λ=diag(λ 1 ,λ 2 ,...λ m ), λ 1 ≥λ 2 ≥...≥λ m is the eigenvalue of the covariance matrix R, and [PP e ] is the corresponding eigenvector The load vector composed of;
3-3)计算统计量Q统计量:3-3) Calculate the statistic Q statistic:
Q统计量为效应量的加权离均差平方和，即加权平方和；Q统计量反映总离散度；The Q statistic is the weighted sum of squares of the mean deviation of the effect size, that is, the weighted sum of squares; the Q statistic reflects the total dispersion;
3-4)计算显著性水平α的Q统计量控制阀值QC。3-4) Calculate the Q statistic control threshold Q C of the significance level α.
进一步，步骤4)中利用Q统计量判定三相电压互感器运行状态的具体方法如下：Further, in step 4), the specific method of using Q statistics to determine the operating state of the three-phase voltage transformer is as follows:
若Q≤QC，则判定三相电压互感无测量误差异常；If Q≤Q C , it is judged that there is no measurement error abnormality in the three-phase voltage mutual inductance;
若Q>QC，则判定三相电压互感中有互感器的测量误差异常。If Q>Q C , it is determined that there is an abnormal measurement error of the transformer in the three-phase voltage mutual inductance.
由于采用了上述技术方案，本发明具有如下的优点：Owing to adopting above-mentioned technical scheme, the present invention has following advantage:
1、本专利利用电源等比例变化时电压互感器的背景影响量相同原理，设计了一种扣除背景影响量的运行电压互感器误差计算方法，将原有对运行中电压互感器误差计算差异从千分位提高到万分位，准确度提升一个数量级；1. This patent uses the same principle of the background influence of the voltage transformer when the power supply changes in equal proportions, and designs a calculation method for the error calculation of the operating voltage transformer that deducts the background influence. The difference between the original error calculation of the voltage transformer in operation is from The thousandth place is increased to the ten thousandth place, and the accuracy is increased by an order of magnitude;
2、本专利将同电压等级同相序的两组或多组电压幅值相减，再进行优化的主元分析，这种利用同电压同相序电压之间的差值开展优化主元分析计算，不仅对电压互感器有效，对计算运行中电流互感器同样有效；2. This patent subtracts two or more groups of voltage amplitudes of the same voltage level and phase sequence, and then performs optimized principal component analysis. This method utilizes the difference between voltages of the same voltage and phase sequence to carry out optimized principal component analysis and calculation. It is not only valid for voltage transformers, but also valid for current transformers during calculation operation;
3、本专利对硬件要求优于0.05级，本专利设计的软件算法优于0.01级，被监测的电压互感器计量绕组为0.2级，硬件搭载软件后高于被监测电压互感器2个准确度等级，分析数据的不确定度不影响计算出的被监测电压互感器误差；3. The hardware requirement of this patent is better than 0.05 level, the software algorithm designed by this patent is better than 0.01 level, the metering winding of the voltage transformer to be monitored is 0.2 level, and the accuracy of the hardware equipped with software is higher than that of the monitored voltage transformer by 2 Level, the uncertainty of the analyzed data does not affect the calculated error of the monitored voltage transformer;
4、本专利安装在在变电站控制室内电压互感器误差特性在线监测系统内，实现对运行中电压互感器误差的实时分析计算，本算法对智能处理器要求较低，普通的FPGA即可搭载本算法，可实现对电压互感器运行误差的边缘计算。4. This patent is installed in the online monitoring system of voltage transformer error characteristics in the substation control room to realize real-time analysis and calculation of voltage transformer errors during operation. This algorithm has lower requirements for intelligent processors, and ordinary FPGAs can carry this Algorithm, which can realize the edge calculation of the operation error of the voltage transformer.
5、本专利采用数据并行分析原理，将传统的线性主元分析计算需要采集一个月的运行电压互感器数据量作为分析数据库支撑量缩短到一周数据可支撑开展误差分析，大幅提高计算效率。5. This patent adopts the principle of data parallel analysis, which shortens the amount of data of the operating voltage transformer that needs to be collected for one month in the traditional linear principal component analysis calculation as the support amount of the analysis database to one week. The data can support error analysis and greatly improve the calculation efficiency.
本发明的其他优点、目标和特征在某种程度上将在随后的说明书中进行阐述，并且在某种程度上，基于对下文的考察研究对本领域技术人员而言将是显而易见的，或者可以从本发明的实践中得到教导。本发明的目标和其他优点可以通过下面的说明书和权利要求书来实现和获得。Other advantages, objects and features of the present invention will be set forth in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the investigation and research below, or can be obtained from It is taught in the practice of the present invention. The objects and other advantages of the invention will be realized and attained by the following description and claims.
附图说明Description of drawings
本发明的附图说明如下：The accompanying drawings of the present invention are as follows:
图1为本发明的流程图。Fig. 1 is a flowchart of the present invention.
图2为本发明实验一中三相电压采集数据的统计图。Fig. 2 is a statistical chart of three-phase voltage acquisition data in Experiment 1 of the present invention.
图3为本发明实验一中三相电压Q统计值的统计图。Fig. 3 is a statistical diagram of the statistical value of the three-phase voltage Q in Experiment 1 of the present invention.
图4为本发明实验二中A相电压采集数据部分数据减少了0.2％的统计图。Fig. 4 is a statistical diagram showing a 0.2% reduction in partial data of phase A voltage acquisition data in Experiment 2 of the present invention.
图5为本发明实验二中三相电压Q统计值的统计图。Fig. 5 is a statistical diagram of the statistical value of the three-phase voltage Q in Experiment 2 of the present invention.
图6为本发明实验三中Ⅰ母和Ⅱ母的A相电压波形幅值采集数据的统计图。Fig. 6 is a statistical diagram of the collected data of phase A voltage waveform amplitudes of bus I and bus II in Experiment 3 of the present invention.
图7为本发明实验三中A相电压Q统计值的统计图。Fig. 7 is a statistical diagram of the statistical value of the A-phase voltage Q in Experiment 3 of the present invention.
具体实施方式Detailed ways
下面结合附图和实施例对本发明作进一步说明。The present invention will be further described below in conjunction with drawings and embodiments.
一种扣除背景影响量的运行三相电压互感器误差计算方法，如图1所示，具体步骤如下：A method for calculating the error of a running three-phase voltage transformer after deducting background influences, as shown in Figure 1, the specific steps are as follows:
1)采集两组运行三相电压互感器的计量绕组三相信号，获得两组三相电压互感器采集的数据矩阵X1、X2，运行的两组三相电压互感器为同一电压等级，且运行的两组三相电压互感器的三相信号为同相序三相电压等比例变化信号；1) Collect the three-phase signals of the metering windings of two sets of operating three-phase voltage transformers, and obtain the data matrices X 1 and X 2 collected by the two sets of three-phase voltage transformers. The two sets of operating three-phase voltage transformers are of the same voltage level, And the three-phase signals of the two sets of three-phase voltage transformers in operation are equal-proportional change signals of the same-phase sequence three-phase voltage;
2)对采集到的两组三相信号数据矩阵X1、X2进行数据处理，将处理后的两组三相电压相减得到差值数据X；2) Perform data processing on the collected two sets of three-phase signal data matrices X 1 and X 2 , and subtract the processed two sets of three-phase voltages to obtain difference data X;
3)利用差值数据X开展优化主元分析计算，得到效应量的加权离均差平方和Q的统计量；3) Use the difference data X to carry out optimized principal component analysis and calculation, and obtain the statistics of the square sum Q of the weighted deviation from the mean of the effect size;
4)利用Q统计量判定三相电压互感器的运行状态。4) Use the Q statistic to determine the operating status of the three-phase voltage transformer.
步骤1)中所述运行三相电压互感器为同一电压等级的具体条件是：三相电压互感器一次电压等级范围为35～1000kV，准确度等级为0.2级或0.5级；The specific conditions for operating the three-phase voltage transformers at the same voltage level as described in step 1) are: the primary voltage level of the three-phase voltage transformer ranges from 35 to 1000 kV, and the accuracy level is 0.2 or 0.5;
步骤1)中所述同相序三相电压等比例变化的具体条件是：多组三相电压互感器的A相电压、B相电压和C相电压，各自等比例变化；Step 1) The specific conditions for the proportional change of the same-phase sequence three-phase voltages are: the A-phase voltage, the B-phase voltage and the C-phase voltage of multiple groups of three-phase voltage transformers are respectively proportionally changed;
步骤1)中所述采集两组运行三相电压互感器的计量绕组三相信号为模拟信号采样，具体方法为：采用模拟采样电路板实现采样，高速采集频率大于等于12.8kHz，两组三相电压互感器的数据矩阵X1、X2；其中：The three-phase signals of the metering windings of two sets of operating three-phase voltage transformers described in step 1) are collected as analog signal sampling. Data matrix X 1 , X 2 of voltage transformer; where:
其中：为第一组中A相电压互感器采集的电压值；/>为第一组中B相电压互感器采集的电压值；/>为第一组中C相电压互感器采集的电压值；/>为第二组中A相电压互感器采集的电压值；/>为第二组中B相电压互感器采集的电压值；/>为第二组中C相电压互感器采集的电压值；n为采集的样本数。in: It is the voltage value collected by the phase A voltage transformer in the first group; /> It is the voltage value collected by the B-phase voltage transformer in the first group; /> is the voltage value collected by the C-phase voltage transformer in the first group; /> It is the voltage value collected by the phase A voltage transformer in the second group; /> It is the voltage value collected by the B-phase voltage transformer in the second group; /> is the voltage value collected by the C-phase voltage transformer in the second group; n is the number of samples collected.
步骤2)中对采集到的两组三相信号数据矩阵X1、X2进行数据处理，将处理后的两组三相电压相减得到差值数据X的具体方法为：In step 2), data processing is performed on the collected two sets of three-phase signal data matrices X 1 , X 2 , and the specific method of subtracting the processed two sets of three-phase voltages to obtain difference data X is as follows:
差值数据X计算为：The difference data X is calculated as:
X＝X1-X2 (1)。X = X 1 -X 2 (1).
步骤3)中利用差值数据X开展优化主元分析计算的具体步骤如下：In step 3), the specific steps of using the difference data X to carry out the optimized principal component analysis calculation are as follows:
3-1)将差值数据矩阵X进行分解：3-1) Decompose the difference data matrix X:
式中，为差值数据矩阵X的主元子空间模型，E＝TePe T为数据矩阵X的残差子空间模型。T为主元得分矩阵，P为主元载荷矩阵，Te为残差得分矩阵，Pe为残差载荷矩阵；In the formula, is the principal component subspace model of the difference data matrix X, and E=T e P e T is the residual subspace model of the data matrix X. T is the main component score matrix, P is the main component load matrix, T e is the residual score matrix, and P e is the residual load matrix;
3-2)对差值数据矩阵X的协方差矩阵进行奇异值分解，得到载荷矩阵P和Pe：3-2) Singular value decomposition is performed on the covariance matrix of the difference data matrix X to obtain load matrices P and P e :
R＝XTX/(N-1)＝[PPe]Λ[PPe]T (3)R=X T X/(N-1)=[PP e ]Λ[PP e ] T (3)
式中，Λ＝diag(λ1，λ2，...λm)，λ1≥λ2≥...≥λm为协方差矩阵R的特征值，为对应的特征向量组成的负荷向量；In the formula, Λ=diag(λ 1 ,λ 2 ,...λ m ), λ 1 ≥λ 2 ≥...≥λ m is the eigenvalue of the covariance matrix R, is the loading vector composed of the corresponding eigenvectors;
3-3)计算统计量Q统计量:3-3) Calculate the statistic Q statistic:
Q统计量为效应量的加权离均差平方和，即加权平方和；Q统计量反映总离散度；The Q statistic is the weighted sum of squares of the mean deviation of the effect size, that is, the weighted sum of squares; the Q statistic reflects the total dispersion;
3-4)计算显著性水平α的Q统计量控制阀值QC。3-4) Calculate the Q statistic control threshold Q C of the significance level α.
步骤4)中利用Q统计量判定三相电压互感器运行状态的具体方法如下：In step 4), the specific method of using the Q statistic to determine the operating state of the three-phase voltage transformer is as follows:
若Q≤QC，则判定三相电压互感无测量误差异常；If Q≤Q C , it is judged that there is no measurement error abnormality in the three-phase voltage mutual inductance;
若Q>QC，则判定三相电压互感中有互感器的测量误差异常。If Q>Q C , it is determined that there is an abnormal measurement error of the transformer in the three-phase voltage mutual inductance.
实验一：experiment one:
采集某220kV变电站线路Ⅰ母三相运行中三相电压互感器采集的电压数据片段，如图2所示，通过主元分析法求得三相电压的主元分析Q值，如图3所示；可见，传统的主元分析表示的是三相输出电压的综合变化情况。Collect the voltage data fragments collected by the three-phase voltage transformer during the three-phase operation of the first bus of a 220kV substation line, as shown in Figure 2, and obtain the principal component analysis Q value of the three-phase voltage by the principal component analysis method, as shown in Figure 3 ; It can be seen that the traditional principal component analysis represents the comprehensive change of the three-phase output voltage.
实验二：Experiment 2:
采集某220kV变电站线路Ⅰ母三相运行中三相电压互感器采集的电压数据片段，将A相电压采集数据的部分数据减少0.2％，如图4所示，通过主元分析得到的Q统计量，如图5所示；由图5可知，部分Q值下降，可知若某相电压互感器的电源出现异动后会影响Q值计算的准确度，这就是背景误差产生的计算偏差，同时证明传统的主元分析的准确性依赖于电源的稳定。Collect the voltage data fragments collected by the three-phase voltage transformer in the three-phase operation of the first bus of a 220kV substation line, and reduce part of the data of the A-phase voltage collection data by 0.2%. As shown in Figure 4, the Q statistic obtained through the principal component analysis , as shown in Figure 5; it can be seen from Figure 5 that part of the Q value drops, and it can be seen that if the power supply of a certain phase voltage transformer changes, it will affect the accuracy of the calculation of the Q value, which is the calculation deviation caused by the background error, and proves that the traditional The accuracy of the PCA depends on the stability of the power supply.
实验三：Experiment three:
某220kV变电站的Ⅰ母和Ⅱ母并联运行，及存在两组电压互感器来自于同一个电压等级，获取Ⅰ母A相和Ⅱ母A相的电压互感器计量绕组输出电压信号，如图6所示，将两组电压值标记为M1和M2，采用扣除背景影响量的优化主元分析得到M1和M2的Q统计量，如图7所示，比较实验一中的图3和实验三中的图7可知，传统主元分析的Q值变化范围在-0.015～+0.035，变化在千分位，优化后的主元分析Q值变化范围在-0.0023～+0.007，变化在万分位。之后再对Q值按原来的主元分析方式求解电压互感器的运行误差值，证明了本专利对于运行误差计算准确度上有较大提升。The I bus and II bus of a 220kV substation operate in parallel, and there are two sets of voltage transformers from the same voltage level, and the output voltage signals of the voltage transformer metering windings of phase A of bus I and bus II of bus A are obtained, as shown in Figure 6 As shown, the two sets of voltage values are marked as M1 and M2, and the Q statistics of M1 and M2 are obtained by optimizing the principal component analysis after deducting the background influence, as shown in Figure 7, comparing Figure 3 in Experiment 1 and Experiment 3 It can be seen from Figure 7 that the Q value of the traditional principal component analysis ranges from -0.015 to +0.035, and the change is in the thousandth place. The Q value of the optimized principal component analysis ranges from -0.0023 to +0.007, and the change is in the ten thousandth place. After that, the operating error value of the voltage transformer is solved according to the original principal component analysis method for the Q value, which proves that the patent has greatly improved the accuracy of the operating error calculation.
本领域内的技术人员应明白，本申请的实施例可提供为方法、系统、或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
本申请是参照根据本申请实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。The present application is described with reference to flowcharts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.
最后应当说明的是：以上实施例仅用以说明本发明的技术方案而非对其限制，尽管参照上述实施例对本发明进行了详细的说明，所属领域的普通技术人员应当理解：依然可以对本发明的具体实施方式进行修改或者等同替换，而未脱离本发明精神和范围的任何修改或者等同替换，其均应涵盖在本发明的权利要求保护范围之内。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the present invention can still be Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall fall within the protection scope of the claims of the present invention.
Claims (4)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010988824.XA CN112068064B (en) | 2020-09-18 | 2020-09-18 | Method for calculating errors of operation three-phase voltage transformer with background influence subtracted |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010988824.XA CN112068064B (en) | 2020-09-18 | 2020-09-18 | Method for calculating errors of operation three-phase voltage transformer with background influence subtracted |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112068064A CN112068064A (en) | 2020-12-11 |
| CN112068064B true CN112068064B (en) | 2023-08-25 |
Family
ID=73682409
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010988824.XA Active CN112068064B (en) | 2020-09-18 | 2020-09-18 | Method for calculating errors of operation three-phase voltage transformer with background influence subtracted |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112068064B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113050017A (en) * | 2021-03-02 | 2021-06-29 | 合肥工业大学 | Intelligent error state monitoring and fault diagnosis system for electronic transformer |
| CN113376561B (en) * | 2021-04-28 | 2022-09-27 | 国网重庆市电力公司营销服务中心 | A remote verification system of electric energy metering device based on the same-level comparison method |
| CN113239132B (en) * | 2021-07-12 | 2021-09-24 | 武汉格蓝若智能技术有限公司 | Online out-of-tolerance identification method for voltage transformer |
| CN114861133A (en) * | 2022-04-26 | 2022-08-05 | 威胜集团有限公司 | Error space extraction optimization method and device, electronic equipment and readable storage medium |
| CN114579933B (en) * | 2022-05-05 | 2022-08-12 | 威胜集团有限公司 | Error measurement optimization method and device, electronic equipment and readable storage medium |
| CN115267641B (en) * | 2022-09-22 | 2023-01-17 | 武汉格蓝若智能技术有限公司 | Method and system for identifying error abnormity of current transformer in same-tower double-circuit power transmission line |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102338664A (en) * | 2010-07-27 | 2012-02-01 | 上海闻泰电子科技有限公司 | Real-time background deduction method for target radiometry |
| KR20140062881A (en) * | 2012-11-15 | 2014-05-26 | 삼성테크윈 주식회사 | Method and system for background substraction |
| CN104933012A (en) * | 2015-05-08 | 2015-09-23 | 西南交通大学 | Method for online identifying measurement deviation fault for traction substation instrument transformer |
| CN105976382A (en) * | 2016-05-11 | 2016-09-28 | 华中科技大学 | TFT-LCD Mura defect detection algorithm based on defect area prognosis and level set |
| CN107255792A (en) * | 2017-06-20 | 2017-10-17 | 华中科技大学 | A kind of electronic type voltage transformer error on-line monitoring method and system |
| CN109444791A (en) * | 2018-11-09 | 2019-03-08 | 华中科技大学 | A kind of capacitance type potential transformer error state appraisal procedure and system |
| CN110333474A (en) * | 2019-06-28 | 2019-10-15 | 中国电力科学研究院有限公司 | A method and system for online detection of abnormal state of transformer metering |
| CN111366887A (en) * | 2020-04-27 | 2020-07-03 | 广东电网有限责任公司电力调度控制中心 | Mutual inductor transient sampling precision calibration method, device, terminal and medium |
| CN111474510A (en) * | 2020-04-25 | 2020-07-31 | 华中科技大学 | Error evaluation method and system for voltage transformer with non-stable output |
-
2020
- 2020-09-18 CN CN202010988824.XA patent/CN112068064B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102338664A (en) * | 2010-07-27 | 2012-02-01 | 上海闻泰电子科技有限公司 | Real-time background deduction method for target radiometry |
| KR20140062881A (en) * | 2012-11-15 | 2014-05-26 | 삼성테크윈 주식회사 | Method and system for background substraction |
| CN104933012A (en) * | 2015-05-08 | 2015-09-23 | 西南交通大学 | Method for online identifying measurement deviation fault for traction substation instrument transformer |
| CN105976382A (en) * | 2016-05-11 | 2016-09-28 | 华中科技大学 | TFT-LCD Mura defect detection algorithm based on defect area prognosis and level set |
| CN107255792A (en) * | 2017-06-20 | 2017-10-17 | 华中科技大学 | A kind of electronic type voltage transformer error on-line monitoring method and system |
| CN109444791A (en) * | 2018-11-09 | 2019-03-08 | 华中科技大学 | A kind of capacitance type potential transformer error state appraisal procedure and system |
| CN110333474A (en) * | 2019-06-28 | 2019-10-15 | 中国电力科学研究院有限公司 | A method and system for online detection of abnormal state of transformer metering |
| CN111474510A (en) * | 2020-04-25 | 2020-07-31 | 华中科技大学 | Error evaluation method and system for voltage transformer with non-stable output |
| CN111366887A (en) * | 2020-04-27 | 2020-07-03 | 广东电网有限责任公司电力调度控制中心 | Mutual inductor transient sampling precision calibration method, device, terminal and medium |
Non-Patent Citations (1)
| Title |
|---|
| 电流互感器简化接线附加误差的分析;常仕亮; 郑宜超;《工业计量》;第25卷(第03期);第62-63、66页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112068064A (en) | 2020-12-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112068064B (en) | Method for calculating errors of operation three-phase voltage transformer with background influence subtracted | |
| CN115018139B (en) | Method and system for online identifying error state of current transformer based on interphase characteristics | |
| CN102930344B (en) | A kind of ultra-short term bus load Forecasting Methodology based on load trend change | |
| CN109034461B (en) | Voltage sag random estimation method based on actual power grid monitoring information | |
| CN107255792A (en) | A kind of electronic type voltage transformer error on-line monitoring method and system | |
| CN117955110B (en) | Auxiliary optimization method for innovative power system load regulation and control | |
| CN110322135A (en) | A kind of method for real-time monitoring and system of grid equipment safe operation state | |
| CN102244384A (en) | Optimal operation method of main transformers based on economic equivalent analysis | |
| CN108074198B (en) | A method for identifying bad data of power system PMU | |
| CN103995162A (en) | Power distribution network large user real-time electricity larceny prevention method based on advanced measuring system | |
| CN114740418A (en) | An online detection method of capacitive voltage transformer error | |
| CN116125361A (en) | Voltage transformer error evaluation method, system, electronic equipment and storage medium | |
| CN113112136A (en) | Comprehensive evaluation method and system for reliability of power distribution network | |
| CN109524982A (en) | A kind of alternating current-direct current Power Network Transient Stability methods of risk assessment | |
| CN115685045A (en) | Online evaluation method for voltage transformer | |
| Li et al. | Self-detecting the measurement error of electronic voltage transformer based on principal component analysis-wavelet packet decomposition | |
| CN111242420A (en) | Comprehensive performance multi-dimensional evaluation method | |
| CN111160576A (en) | Quantitative evaluation method, device, equipment and medium for health degree of distribution transformer | |
| CN102509154B (en) | A dynamic adjustment method for infrared temperature measurement cycle of substation equipment | |
| CN108334990A (en) | A kind of bulk power grid reactive-load compensation addressing and capacity optimization method and system | |
| CN106684865A (en) | Reactive daily curve bad data identification and correction method | |
| Sun et al. | Collection and Application of Real-time Operation Data of Distribution Transformer Based on Internet of Things | |
| Shen et al. | Stepwise estimation of harmonic state based on hybrid measurement | |
| Ji et al. | Develop a test device to check the charged relay protection | |
| Tang et al. | Similarity Calculation Considering the Impact of Voltage Regulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |