CN107257135B - Method, device and equipment for judging unbalance treatment measures of power distribution area - Google Patents

Method, device and equipment for judging unbalance treatment measures of power distribution area Download PDF

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CN107257135B
CN107257135B CN201710582299.XA CN201710582299A CN107257135B CN 107257135 B CN107257135 B CN 107257135B CN 201710582299 A CN201710582299 A CN 201710582299A CN 107257135 B CN107257135 B CN 107257135B
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phase current
correlation
correlation coefficient
data
current
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CN107257135A (en
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范瑞祥
邓才波
何昊
蒙天骐
徐宁
辛建波
安义
刘友仁
肖红霞
曹蓓
陈琛
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
    • G01R29/16—Measuring asymmetry of polyphase networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
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  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The application belongs to the technical field of power distribution, and provides a method, a device and equipment for judging a measure for treating unbalance of a power distribution area, wherein after a current correlation coefficient of each three-phase current reasonable data set is calculated, an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient in each current correlation coefficient are respectively compared with a first correlation threshold value to determine whether the situation that the change trends of at least two phases of currents in the three-phase current in a target power distribution area are consistent or not, then generated first number, second number and third number are respectively compared with a first verification number value, and an artificial phase modulation result is generated when any one of the first number is greater than or equal to the first verification number value, the second number is greater than or equal to the first verification number value and the third number is greater than or equal to the first verification number value, therefore, on the basis of improving the judgment accuracy, the matching degree of the power distribution area and the manual phase modulation treatment measures is improved.

Description

Method, device and equipment for judging unbalance treatment measures of power distribution area
Technical Field
The invention relates to the technical field of power distribution, in particular to a method, a device and equipment for judging a power distribution station unbalance treatment measure.
Background
With the improvement of low-voltage power grid construction, the operation condition of a distribution network in a distribution station area gradually becomes a key point of attention of people, but the problem of three-phase load imbalance of the distribution network is increasingly serious.
At present, the treatment measures for solving the problem of unbalanced three-phase load in a power distribution station area mainly comprise: compensation of electronic power equipment, automatic phase-changing device and artificial phase-regulating. The electronic power equipment compensation treatment measures are that the three-phase current at the load side is collected in real time, the negative sequence, the zero sequence and the harmonic current are extracted, the power electronic device is adopted to output the current to be compensated in an inversion mode, the power factor, the unbalance degree and the harmonic content rate before a compensation point are improved, and the aim of basic balance of the three-phase load of the line is achieved; the compensation treatment measures of the automatic phase-changing device are that the phase of a user or a line is adjusted by acquiring the three-phase current of the line or the user and matching a plurality of phase-changing devices, so that the aim of basically balancing the three-phase load of the line is fulfilled; the manual phase modulation is to manually analyze the change condition of the three-phase load along with time in a period of time of all users or branches in a platform area, and to obtain and adjust the adjustment mode of the users or branches through a certain user adjustment algorithm, so as to achieve the aim of basic balance of the three-phase load.
Therefore, when the problem of three-phase load imbalance generated in the power distribution area is solved by adopting manual phase modulation, no equipment needs to be additionally arranged, the treatment cost is low, and the treatment effect is better than other two treatment measures; however, when aiming at the problem of three-phase load imbalance caused by complicated changes in different power distribution areas, the manual phase modulation treatment measures are mainly adopted to manually determine periodically or aperiodically which power distribution areas causing the problem of three-phase load imbalance can be treated by the treatment measures of manual phase modulation according to the working experience of workers, so that the matching degree between the determined power distribution areas causing the problem of three-phase load imbalance and the manual phase modulation treatment measures is not high, and the treatment process is time-consuming and labor-consuming.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, and a device for determining a measure for treating an imbalance of a distribution substation area, which improve the matching degree between the determined distribution substation area with a three-phase load imbalance problem and the manual phase modulation treatment measure, thereby reducing the time and labor cost required by the treatment process.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for judging a power distribution station unbalance treatment measure comprises the following steps:
acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage.
Preferably, the data preprocessing is performed on the initial three-phase current data to obtain a reasonable three-phase current data set, and the method includes:
according to a preset unit time period, performing data grouping on the three-phase current initial data to obtain at least one three-phase current initial grouped data;
according to a preset load change time period, performing data grouping on each three-phase current initial grouped data to obtain at least one three-phase current grouped data;
and removing unreasonable grouped data from all the three-phase current grouped data, and taking the three-phase current grouped data left after removal as the three-phase current reasonable data group.
Preferably, the removing unreasonable grouped data from all the three-phase current grouped data and using the three-phase current grouped data left after removing as the three-phase current reasonable data group includes:
adding the current data of the phase A, the current data of the phase B and the current data of the phase C in each three-phase current grouping data to calculate the current data sum of each three-phase current grouping data;
adding the current data of the phase A, the current data of the phase B and the current data of the phase C in the obtained initial data of the three-phase current to calculate the total sum of the initial data of the three-phase current;
dividing the current data sum of each three-phase current grouped data with the three-phase current initial data sum to calculate a three-phase current grouped data proportion value corresponding to each three-phase current grouped data;
and removing the proportion value of the three-phase current grouped data which is smaller than the three-phase current average value, and taking the remaining three-phase current grouped data after removal as the three-phase current reasonable data group, wherein the three-phase current average value is the value obtained by dividing the three-phase current initial data sum by the number of the three-phase current grouped data before removal.
Preferably, the calculating the current correlation coefficient of each of the three-phase current rational data sets includes:
calculating the current variance of each three-phase current reasonable data set, wherein the current variance of each three-phase current reasonable data set comprises an A-phase current variance, a B-phase current variance and a C-phase current variance;
calculating the current covariance of each three-phase current reasonable data set, wherein the current covariance of each three-phase current reasonable data set comprises an AB phase current covariance, a BC phase current covariance and a CA phase current covariance;
and substituting the current variance and the current covariance corresponding to each three-phase current rational data set into a current correlation coefficient calculation formula to calculate the current correlation coefficient of each three-phase current rational data set.
Preferably, after comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, the method further includes:
when the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients are all less than or equal to the first correlation threshold, comparing the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, and recording and generating a fourth number, a fifth number and a sixth number, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is the number in which the AB-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, the fifth number is the number in which the BC-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, and the sixth number is the number in which the CA-phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the number of the second correlation threshold;
when the second target number is greater than or equal to a second verification number value, generating an automatic commutation device result, wherein when the second target number is the fourth number, the second verification number value is a product of the number of all the AB phase current correlation coefficients and a second correlation percentage, when the second target number is the fifth number, the second verification number value is a product of the number of all the BC phase current correlation coefficients and the second correlation percentage, and when the second target number is the sixth number, the second verification number value is a product of the number of all the CA phase current correlation coefficients and the second correlation percentage.
Preferably, after comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with the second correlation threshold, the method further includes:
and when the AB phase current related coefficient, the BC phase current related coefficient and the CA phase current related coefficient in each current related coefficient are less than or equal to the second correlation threshold, generating a compensation result of the electronic power equipment.
A decision maker of a measure for managing unbalance of a distribution area, comprising:
the acquisition module is used for acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
the data preprocessing module is used for preprocessing the initial data of the three-phase current to obtain a reasonable data set of the three-phase current, the number of the reasonable data set of the three-phase current is at least one, and the data preprocessing comprises data grouping and data elimination;
the first calculation module is used for calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
the first comparison module is used for comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold value respectively;
a first generating module, configured to record and generate a first number, a second number, and a third number after the first comparing module compares the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, where the first number is a number where the AB-phase current correlation coefficient is greater than the first correlation threshold, the second number is a number where the BC-phase current correlation coefficient is greater than the first correlation threshold, and the third number is a number where the CA-phase current correlation coefficient is greater than the first correlation threshold;
a second generating module, configured to generate an artificial phase modulation result when a first target number is greater than or equal to a first validation number value, where the first validation number value is a product of a number of all AB phase current correlation coefficients and a first correlation percentage when the first target number is the first number, the first validation number value is a product of a number of all BC phase current correlation coefficients and the first correlation percentage when the first target number is the second number, and the first validation number value is a product of a number of all CA phase current correlation coefficients and the first correlation percentage when the first target number is the third number.
Preferably, the first calculation module comprises:
the second calculation module is used for calculating the current variance of each three-phase current reasonable data set, and the current variance of each three-phase current reasonable data set comprises an A-phase current variance, a B-phase current variance and a C-phase current variance;
the third calculation module is used for calculating the current covariance of each three-phase current reasonable data set, and the current covariance of each three-phase current reasonable data set comprises an AB phase current covariance, a BC phase current covariance and a CA phase current covariance;
and the fourth calculation module is used for substituting the current variance and the current covariance corresponding to each three-phase current reasonable data set into a current correlation coefficient calculation formula to calculate the current correlation coefficient of each three-phase current reasonable data set.
Preferably, the apparatus further comprises:
the second comparison module is used for comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold value respectively, and comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold value respectively when the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient are all smaller than or equal to the first correlation threshold value;
a third generating module, configured to record and generate a fourth number, a fifth number, and a sixth number after the second comparing module compares the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is that the AB phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the second correlation threshold, the fifth number being that the BC phase current correlation coefficient is less than or equal to the first correlation threshold, the sixth number is the number of the phase current correlation coefficient of the CA being smaller than or equal to the first correlation threshold and larger than the second correlation threshold;
a fourth generating module, configured to generate an automatic commutation device result when a second target number is greater than or equal to a second validation number value, where the second validation number value is a product of a number of all AB phase current correlation coefficients and a second correlation percentage when the second target number is the fourth number, the second validation number value is a product of a number of all BC phase current correlation coefficients and the second correlation percentage when the second target number is the fifth number, and the second validation number value is a product of a number of all CA phase current correlation coefficients and the second correlation percentage when the second target number is the sixth number.
Preferably, the apparatus further comprises:
and the fifth generating module is used for generating a compensation result of the electronic power equipment when the second comparing module compares the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold respectively, and the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are all smaller than or equal to the second correlation threshold.
An electronic device comprising a memory and a processor;
the memory is used for storing programs;
the processor is used for processing the program; wherein the program includes:
acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage.
According to the technical scheme, compared with the prior art, the method, the device and the equipment for judging the unbalance treatment measures of the power distribution area are provided, after the current correlation coefficient of each three-phase current reasonable data set is calculated, the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are respectively compared with the first correlation threshold value, whether the change trends of two-phase or three-phase currents in the three-phase current in the target power distribution area are consistent or not can be determined, then the first number, the second number and the third number which are recorded and generated are respectively compared with the first verification number value, when the first number is larger than or equal to the first verification number value, the second number is larger than or equal to the first verification number value, and the third number is larger than or equal to any one of the first verification number value, and generating an artificial phase modulation result, so that whether the three-phase load imbalance problem generated by the current target power distribution area can be rapidly controlled by adopting an artificial phase modulation control measure or not is judged according to the duration degree of consistent variation trends of two-phase or three-phase current in the target power distribution area, and the matching degree between the power distribution area generating the three-phase load imbalance problem and the artificial phase modulation control measure is further improved, so that the time and labor cost required by the control process are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a measure for managing unbalance of a distribution grid according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for acquiring a three-phase current rational data set according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for calculating a current correlation coefficient according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for determining an unbalance management measure of a power distribution area according to another embodiment of the present invention;
fig. 5 is a flowchart of a method for determining an unbalance management measure of a power distribution area according to another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a device for determining a measure for managing unbalance of a power distribution area according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an apparatus for calculating a current correlation coefficient according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another power distribution area unbalance management measure determination device according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another power distribution area unbalance management measure determination device according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a method for judging a measure for treating unbalance of a power distribution area, and please refer to the attached drawing 1, wherein the method specifically comprises the following steps:
s101: acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
specifically, the preset time interval may be preset and is mainly used for periodically acquiring three-phase current data of the target power distribution area within one preset time period, and if the preset time interval is "30 minutes", and the preset time period is "7 days", the three-phase current data of the target power distribution area is acquired every 30 minutes at the beginning, and until the acquisition frequency reaches "336", the acquisition of all three-phase current data generated by the target power distribution area within the preset time period of "7 days" is completed, and then the data are all used as initial three-phase current data. Wherein the preset time period may be one week, two weeks or one month, etc.
The target power distribution area refers to any one of a plurality of power distribution areas which have caused a three-phase load imbalance problem, and the three-phase current initial data of the target power distribution area mainly comprises three-phase current data of A-phase current data, B-phase current data and C-phase current data.
The three-phase current initial data of the target power distribution area in the preset time period are obtained regularly according to the preset time interval, so that the number of the obtained three-phase current initial data is at least one, and one three-phase current initial data obtained each time comprises A-phase current data, B-phase current data and C-phase current data which are generated in the time period of the current preset time interval in the preset time period. Still taking the example that the preset time period is 7 days and the preset time interval is 30 minutes, when the third time passes 30 minutes, the initial data of the three-phase current is obtained once, and at this time, the initial data of the three-phase current is the three-phase current data obtained in real time at 1 point 30 minutes on the first day in the preset time period 7 days.
S102: performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
specifically, the data preprocessing performed on the acquired all three-phase current initial data may include two operations, namely data grouping and data culling. The data grouping is mainly used for grouping all the obtained three-phase current initial data according to a preset grouping rule so as to better perform data analysis by using the data obtained after the data grouping, thereby improving the judgment precision of the unbalance treatment measures of the power distribution area; the data elimination is mainly used for eliminating unreasonable data from the data obtained after data grouping, so that the probability of errors of judgment results of unbalanced management measures of the power distribution area due to the influence of the unreasonable data is effectively reduced.
S103: calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
specifically, the current correlation coefficient of any two-phase current data among the a-phase current data, the B-phase current data and the C-phase current data in each three-phase current rational data set can be obtained by calculating the current correlation coefficient of each three-phase current rational data set, that is, the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each three-phase current rational data set can be obtained, so that a basis judgment basis is provided for subsequently judging whether two-phase or three-phase change trends among the three-phase currents in the target power distribution area are consistent.
S104: comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
specifically, the first correlation threshold may be a threshold, such as 0.708, for checking whether there is a strong correlation between at least two phase currents between three phase currents of A, B, C in the target distribution grid area under heavy load conditions.
Comparing the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each calculated current correlation coefficient with a preset first correlation threshold value respectively, whether two phases of A, B, C three-phase currents exist in each current correlation coefficient or whether the three-phase currents have strong correlation under the condition of heavy load can be accurately judged. In other words, if any one of the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient is greater than the first correlation threshold, it is proved that a strong correlation exists between the two phase currents, for example, if the BC phase current correlation coefficient "0.82" is greater than the first correlation threshold "0.708", a strong correlation exists between the B phase current and the C phase current of the target distribution substation area; if any two or three of the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient are larger than the first correlation threshold, the fact that strong correlation exists among the three-phase currents is proved, for example, the AB phase current correlation coefficient '0.85' and the BC phase current correlation coefficient '0.98' are both larger than the first correlation threshold '0.708', and then strong correlation exists among the three-phase currents of the A phase current, the B phase current and the C phase current of the target power distribution station area.
The generated first number, second number and third number are recorded, and the method is mainly used for respectively recording the total number of AB phase current correlation coefficients, BC phase current correlation coefficients and CA phase current correlation coefficients which are respectively larger than a first correlation threshold value in all current correlation coefficients, so that the duration degree of strong correlation of at least two phases of currents between A, B, C three-phase currents in a target power distribution area under a heavy load condition is determined according to the generated first number, second number and third number. That is, it is determined that the target distribution area has a duration degree in which the variation trends of the two-phase or three-phase currents are consistent among the A, B, C three-phase currents.
S105: when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage;
specifically, the first verification quantity value can reflect a value of a duration degree of strong correlation of at least two phases of currents among A, B, C three-phase currents in the target power distribution area under a heavy load condition, and the value can be changed according to different first target numbers. For example, when the generated first number is taken as a first target number, the first verification quantity value is the product of the total number of the AB phase current correlation coefficients contained in all the current correlation coefficients and a first correlation percentage, wherein the first correlation percentage may be a percentage set under the precondition that the duration degree of strong correlation existing between A, B, C three-phase currents in the target distribution area under a heavy load condition meets the requirement of treatment by adopting artificial phase modulation treatment measures, such as 80%, so that the problem that the current target distribution area generates three-phase load imbalance is only caused by the difference of the number of users, therefore, the number of three-phase users can be quickly adjusted to basic balance by adopting artificial phase modulation to balance the three-phase load, and on the basis of improving the matching degree between the distribution area generating the three-phase load imbalance problem and the artificial phase modulation measures, the time and labor cost required by the treatment process are reduced.
The method for judging the measure for treating the unbalance of the power distribution area disclosed by the embodiment of the invention can determine whether the change trends of two-phase or three-phase currents in the three-phase current in the target power distribution area are consistent or not by comparing the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold value respectively after calculating the current correlation coefficient of each reasonable three-phase current data set, and then generate an artificial phase modulation result when any one of the first number, the second number and the third number is greater than or equal to the first verification number value respectively and the first verification number value is established, thereby realizing that one change trend of two-phase or three-phase currents in the target power distribution area is based on the first verification number value, the second verification number value and the third number is greater than or equal to the first verification number value And the degree of the duration time is judged whether the three-phase unbalanced load problem generated by the current target power distribution area can be rapidly treated by adopting an artificial phase modulation treatment measure, so that the matching degree between the power distribution area generating the three-phase unbalanced load problem and the artificial phase modulation treatment measure is improved, and the time and labor cost required by the treatment process are reduced.
For the data preprocessing of the initial data of the three-phase current in the embodiment corresponding to fig. 1 to obtain the reasonable data set of the three-phase current, the invention provides a method for obtaining the reasonable data set of the three-phase current, and please refer to fig. 2, the method specifically includes the following steps:
s201: according to a preset unit time period, performing data grouping on the three-phase current initial data to obtain at least one three-phase current initial grouped data;
specifically, the preset unit time period may be preset according to a preset time period, and if the preset time period is "7 days", the preset unit time period may be "1 day", so that all the three-phase current initial data sequentially acquired according to the time sequence are grouped according to the preset unit time period, which is beneficial to performing data analysis on the three-phase current initial grouped data generated after the data grouping.
Taking a preset time period of 7 days and a preset unit time period of 1 day as an example, specifically setting data grouping, sequentially acquiring all three-phase current initial data in the preset time period of 7 days according to the time sequence, and grouping the data by taking the preset unit time period of 1 day as a grouping rule, thereby acquiring 7 three-phase current initial grouped data.
S202: according to a preset load change time period, performing data grouping on each three-phase current initial grouped data to obtain at least one three-phase current grouped data;
specifically, the preset load change time period may be generated by dividing 24 hours a day into a plurality of time periods according to the load change trend of A, B, C three-phase current in the target power distribution grid in one day, for example, the preset load change time period may include four time periods of 0-5 points, 6-11 points, 12-17 points, and 18-23 points.
Specifically explaining still by taking the number of the obtained three-phase current initial grouped data as "7", if the preset load change time period includes four time periods of "0-5 point", "6-11 point", "12-17 point" and "18-23 point", performing data grouping on each three-phase current initial grouped data according to the four time periods included in the preset load change time period, and obtaining 28 three-phase current grouped data; if the preset time interval is '30 minutes', the number of the three-phase current initial data acquired in the S101 is 336, and each of the 28 corresponding three-phase current grouped data includes 12 three-phase current initial data in the S101.
S203: adding the current data of the phase A, the current data of the phase B and the current data of the phase C in each three-phase current grouping data to calculate the current data sum of each three-phase current grouping data;
taking the example that each three-phase current grouping data in the 28 three-phase current grouping data includes 12 three-phase current initial data in S101, the current data sum of each three-phase current grouping data is specifically set forth. Each three-phase current grouping data includes 12 three-phase current initial data of S101, and each three-phase current initial data of S101 includes a-phase current data, B-phase current data, and C-phase current data, so that each three-phase current grouping data includes 12 a-phase current data, 12B-phase current data, and 12C-phase current data, and at this time, the 36 current data are cumulatively added, and the current data sum of each three-phase current grouping data can be calculated.
S204: adding the current data of the phase A, the current data of the phase B and the current data of the phase C in the obtained initial data of the three-phase current to calculate the total sum of the initial data of the three-phase current;
still taking the preset time interval of "30 minutes" and the preset time period of "7 days" as an example for explanation, the number of the three-phase current initial data acquired in S101 is 336, and each three-phase current initial data includes a-phase current data, a B-phase current data and a C-phase current data, and 1008 three-phase current data included in total in the 336 three-phase current initial data are added up cumulatively, so that the total of the three-phase current initial data can be calculated.
S205: and dividing the current data sum of each three-phase current grouped data with the three-phase current initial data sum to calculate a three-phase current grouped data proportion value corresponding to each three-phase current grouped data.
S206: and removing the proportion value of the three-phase current grouped data which is smaller than the three-phase current average value, and taking the remaining three-phase current grouped data after removal as the three-phase current reasonable data group, wherein the three-phase current average value is the value obtained by dividing the three-phase current initial data sum by the number of the three-phase current grouped data before removal.
The steps S203 to S206 are only preferred implementations of the process of "removing unreasonable grouped data from all three-phase current grouped data and using the three-phase current grouped data left after removal as the three-phase current reasonable data group" disclosed in the embodiments of the present invention, and specific implementations related to this process may be arbitrarily set according to actual requirements, and are not limited herein.
In the embodiment of the invention, the obtained three-phase current initial data are subjected to data grouping according to the preset unit time period and the preset load change time period in sequence, and unreasonable grouped data in the obtained multiple three-phase current grouped data are eliminated, so that multiple three-phase current reasonable data groups can be obtained, basic data are provided for calculating the corresponding current correlation coefficient of each three-phase current reasonable data group subsequently, meanwhile, the current correlation coefficient is calculated by using the three-phase current reasonable data groups obtained after data grouping and data elimination, and the accuracy of the calculated current correlation coefficient can be improved.
Referring to fig. 3, the specific implementation process of S103 in the embodiment corresponding to fig. 1 includes:
s301: calculating the current variance of each three-phase current reasonable data set, wherein the current variance of each three-phase current reasonable data set comprises an A-phase current variance, a B-phase current variance and a C-phase current variance;
for example, if each of the three-phase current rational data sets obtained in S102 includes "5 three-phase current initial data", and each of the three-phase current initial data includes a-phase current data, B-phase current data, and C-phase current data, each of the three-phase current rational data sets includes "5 a-phase current data, 5B-phase current data, and 5C-phase current data", at this time, "5 a-phase current data", "5B-phase current data", and "5C-phase current data" are respectively substituted into the variance calculation formula:
Figure BDA0001352618410000141
calculating the A-phase current variance Var [ A ] contained in the current variance of each three-phase current reasonable data set]Phase B current variance Var [ B ]]And C phase current variance Var [ C ]]Calculating the current variance of each three-phase current reasonable data set; wherein, Var [ x ]]Is A phase current variance/B phase current variance/C phase current variance, n is A phase current data number/B phase current data number/C phase current data number, xiIs ith A phase current data/B phase current data/C phase current data,the average value of current data of phase A/the average value of current data of phase B/the average value of current data of phase C is shown.
S302: calculating the current covariance of each three-phase current reasonable data set, wherein the current covariance of each three-phase current reasonable data set comprises an AB phase current covariance, a BC phase current covariance and a CA phase current covariance;
still taking the example that each three-phase current reasonable data set obtained in S102 includes "5 three-phase current initial data", each three-phase current reasonable data set includes "5 a-phase current data, 5B-phase current data, and 5C-phase current data" which are combined in pairs, and the combined data are substituted into the covariance calculation formula:
calculating an AB phase current covariance cov (A, B), a BC phase current covariance cov (B, C) and a CA phase current covariance cov (C, B) contained in the current covariance of each three-phase current rational data set, namely calculating the current covariance of each three-phase current rational data set; wherein cov (X, Y) is AB phase current covariance/BC phase current covariance/CA phase current covariance, and n is A phase current data number/B phase current data number/C phase current data number; when x isiFor the ith A-phase current data, yiFor the ith B-phase current data,
Figure BDA0001352618410000153
is the average value of the a-phase current data,
Figure BDA0001352618410000154
the average value of the phase B current data is; when x isiFor the ith B-phase current data, yiFor the ith C-phase current data,
Figure BDA0001352618410000155
is the average value of the phase B current data,the average value of the C-phase current data is; x is the number ofiFor the ith C-phase current data, yiFor the ith a-phase current data,
Figure BDA0001352618410000156
is the average value of the C-phase current data,
Figure BDA0001352618410000157
the average of the a-phase current data.
S303: substituting the current variance and the current covariance corresponding to each three-phase current reasonable data set into a current correlation coefficient calculation formula to calculate a current correlation coefficient of each three-phase current reasonable data set;
for example, if the current variance of each of the three-phase current rational data sets includes "a-phase current variance Var [ a ], B-phase current variance Var [ B ], and C-phase current variance Var [ C ], and the current covariance includes" AB-phase current covariance cov (a, B), BC-phase current covariance cov (B, C), and CA-phase current covariance cov (C, B) ", they are respectively substituted into the current correlation coefficient calculation formula:
and calculating the current correlation coefficient of each three-phase current rational data set, namely calculating an AB phase current correlation coefficient r (A, B), a BC phase current correlation coefficient r (B, C) and a CA phase current correlation coefficient r (C, A). Wherein r (X, Y) is AB phase current correlation coefficient/BC phase current correlation coefficient/CA phase current correlation coefficient, cov (X, Y) is AB phase current covariance/BC phase current covariance/CA phase current covariance; when Var [ x ] is the variance of the A-phase current, Var [ Y ] is the variance of the B-phase current; when Var [ x ] is the variance of the phase B current, Var [ Y ] is the variance of the phase C current; when Var [ x ] is the variance of C-phase current, Var [ Y ] is the variance of A-phase current.
In the embodiment of the invention, the current variance and the current covariance of each three-phase current reasonable data set which are sequentially calculated are substituted into the current correlation coefficient calculation formula, so that the current correlation coefficient of each three-phase current reasonable data set can be accurately calculated, and the accuracy of the finally generated judgment result is indirectly improved on the basis of improving the accuracy of the current correlation coefficient.
On the basis of the embodiment corresponding to fig. 1, the embodiment of the present invention discloses another method for determining a measure for managing the unbalance of a distribution area, please refer to fig. 4, where the method specifically includes the following steps:
s401: and acquiring three-phase current initial data of the target power distribution area in a preset time period according to a preset time interval.
S402: and carrying out data preprocessing on the initial data of the three-phase current to obtain a reasonable data set of the three-phase current, wherein the number of the reasonable data set of the three-phase current is at least one, and the data preprocessing comprises data grouping and data elimination.
S403: and calculating the current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient.
S404: and comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively.
S405: when the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients are all less than or equal to the first correlation threshold, comparing the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, and recording and generating a fourth number, a fifth number and a sixth number, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is the number in which the AB-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, the fifth number is the number in which the BC-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, and the sixth number is the number in which the CA-phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the number of the second correlation threshold;
specifically, the second correlation threshold may be a threshold, such as 0.576, for checking whether there is a certain correlation between at least two phase currents between three phase currents of A, B, C in the target distribution grid area under heavy load conditions.
Comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each calculated current correlation coefficient with a preset second correlation threshold value respectively, whether two phases of current among A, B, C three phases in each current correlation coefficient exist or whether three phases of current have certain correlation under the condition of heavy load can be accurately judged. In other words, if any one of the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient is greater than the second correlation threshold and is less than or equal to the first correlation threshold, it is verified that a certain correlation exists between the two phases of currents, for example, if the BC phase current correlation coefficient "0.62" is greater than the second correlation threshold "0.576" and is less than the first correlation threshold 0.708, a certain correlation exists between the B phase current and the C phase current of the target distribution substation area; if any two or three of the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient are larger than the second correlation threshold and are smaller than or equal to the first correlation threshold, it is proved that certain correlation exists among the three-phase currents, for example, if the AB phase current correlation coefficient '0.59' and the BC phase current correlation coefficient '0.70' are both larger than the second correlation threshold '0.576' and smaller than the first correlation threshold 0.708, certain correlation exists among the A-phase current, the B-phase current and the C-phase current of the target distribution board area.
And recording the generated fourth number, the fifth number and the sixth number, wherein the recording is mainly used for respectively recording the total number of AB phase current correlation coefficients, BC phase current correlation coefficients and CA phase current correlation coefficients which are respectively less than or equal to a first correlation threshold and greater than a second correlation threshold in all the current correlation coefficients, so as to determine the duration degree of certain correlation of at least two phases of currents between A, B, C three-phase currents in the target power distribution area under the condition of heavy load according to the generated fourth number, fifth number and sixth number.
S406: when the second target number is greater than or equal to a second verification number value, generating an automatic commutation device result, wherein when the second target number is the fourth number, the second verification number value is a product of the number of all the AB phase current correlation coefficients and a second correlation percentage, when the second target number is the fifth number, the second verification number value is a product of the number of all the BC phase current correlation coefficients and the second correlation percentage, and when the second target number is the sixth number, the second verification number value is a product of the number of all the CA phase current correlation coefficients and the second correlation percentage.
Specifically, the second verification quantity value can reflect a value of a duration degree of a certain correlation between at least two phases of currents among A, B, C three-phase currents in the target power distribution area under a heavy load condition, and the value can be changed according to the difference of the second target number. For example, when the generated fourth number is taken as a second target number, the second verification quantity value is a product of the total number of the AB-phase current correlation coefficients included in all the current correlation coefficients and a second correlation percentage, where the second correlation percentage may be a percentage set under the precondition that a duration degree of a certain correlation existing between A, B, C three-phase currents in the target distribution substation area under a heavy load condition satisfies a requirement of treatment by an automatic commutation device, such as 70%, so that it can be proved that a part of user electricity utilization laws in at least two phases in the target distribution substation area where the three-phase load imbalance problem currently occurs are consistent but fluctuate, and at this time, an automatic phasing device may be used to perform effective treatment to balance the three-phase load.
It should be noted that the first percentage and the second percentage may be the same value.
When the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each current correlation coefficient are all less than or equal to a first correlation threshold, the method for determining the unbalance governing measures of the power distribution area can determine whether two-phase or three-phase currents have certain correlation in the three-phase current in the target power distribution area by comparing the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold, compares the recorded fourth number, fifth number and sixth number with a second verification number value respectively, and determines that when any one of the fourth number is greater than or equal to the second verification number value, the fifth number is greater than or equal to the second verification number value and the sixth number is greater than or equal to the second verification number value, and generating an automatic phase-changing device result, so that whether the three-phase load imbalance problem generated by the current target power distribution area can be quickly solved by adopting the automatic phase-changing device treatment measures or not is judged according to the duration degree of certain correlation between two-phase or three-phase currents in the target power distribution area, and the matching degree between the power distribution area generating the three-phase load imbalance problem and the automatic phase-changing device treatment measures is improved.
On the basis of the embodiment shown in fig. 4, another method for determining an unbalance management measure in a power distribution area is disclosed in the embodiment of the present invention, and please refer to fig. 5, the method specifically includes the following steps:
s501: and acquiring three-phase current initial data of the target power distribution area in a preset time period according to a preset time interval.
S502: and carrying out data preprocessing on the initial data of the three-phase current to obtain a reasonable data set of the three-phase current, wherein the number of the reasonable data set of the three-phase current is at least one, and the data preprocessing comprises data grouping and data elimination.
S503: and calculating the current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient.
S504: and comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively.
S505: and when the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are all smaller than or equal to the first correlation threshold, respectively comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold.
S506: and when the AB phase current related coefficient, the BC phase current related coefficient and the CA phase current related coefficient in each current related coefficient are less than or equal to the second correlation threshold, generating a compensation result of the electronic power equipment.
Specifically, when the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are all smaller than or equal to a second correlation threshold value, it is proved that the electricity utilization rules of three-phase users in a target distribution area generating the problem of three-phase load imbalance are completely different, three-phase load fluctuation is random, and a better treatment effect can be obtained only by adopting electronic power equipment compensation treatment measures for real-time compensation.
According to the method for judging the treatment measures for the unbalance of the power distribution area, disclosed by the embodiment of the invention, when the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each current correlation coefficient are less than or equal to the second correlation threshold, the most suitable treatment measures for the current target power distribution can be judged to be the compensation treatment measures for the electronic power equipment in time by generating the compensation results for the electronic power equipment, so that the problem of the unbalance of the three-phase load is solved by quickly utilizing the electronic power equipment on the basis of improving the matching degree between the compensation treatment measures for the power distribution area and the electronic power equipment, which generate the problem of the unbalance of the three-phase load.
The embodiment of the invention discloses a device for judging the unbalance treatment measures of a power distribution area, please refer to the attached figure 6, which comprises the following steps:
the acquisition module 601 is configured to acquire three-phase current initial data of a target power distribution area within a preset time period according to a preset time interval;
the data preprocessing module 602 is configured to perform data preprocessing on the three-phase current initial data to obtain a three-phase current reasonable data set, where the number of the three-phase current reasonable data set is at least one, and the data preprocessing includes data grouping and data elimination;
the first calculating module 603 is configured to calculate a current correlation coefficient of each of the three-phase current rational data sets, where the current correlation coefficient of each of the three-phase current rational data sets includes an AB-phase current correlation coefficient, a BC-phase current correlation coefficient, and a CA-phase current correlation coefficient;
a first comparing module 604, configured to compare the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, respectively;
a first generating module 605, configured to record and generate a first number, a second number, and a third number after the first comparing module 604 compares the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, where the first number is a number where the AB phase current correlation coefficient is greater than the first correlation threshold, the second number is a number where the BC phase current correlation coefficient is greater than the first correlation threshold, and the third number is a number where the CA phase current correlation coefficient is greater than the first correlation threshold;
a second generating module 606, configured to generate an artificial phase modulation result when a first target number is greater than or equal to a first validation number value, where the first validation number value is a product of a number of all AB phase current correlation coefficients and a first correlation percentage when the first target number is the first number, the first validation number value is a product of a number of all BC phase current correlation coefficients and the first correlation percentage when the first target number is the second number, and the first validation number value is a product of a number of all CA phase current correlation coefficients and the first correlation percentage when the first target number is the third number.
After the first calculation module 603 calculates the current correlation coefficient of each reasonable three-phase current data set, the first comparison module 604 compares the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each current correlation coefficient with the first correlation threshold, so as to determine whether the two-phase or three-phase current in the target power distribution area has a consistent trend, and then records the first number, the second number and the third number generated by the first generation module 605, and when the first number is greater than or equal to the first verification number value, the second number is greater than or equal to the first verification number value, and the third number is greater than or equal to any one of the first verification number value, the second generation module 606 generates an artificial phase modulation result, so that whether an artificial phase modulation treatment measure can be adopted to rapidly treat the three-phase load imbalance problem generated by the current target power distribution station area or not is judged according to the duration degree of consistent variation trends of two-phase or three-phase current in the target power distribution station area, and the matching degree between the power distribution station area generating the three-phase load imbalance problem and the artificial phase modulation treatment measure is improved, so that the time and labor cost required by a treatment process are reduced.
Please refer to a method flowchart corresponding to fig. 1 for the working process of each module provided in the embodiment of the present invention, and detailed description of the working process is omitted.
Referring to fig. 7, the first calculating module 603 in the embodiment corresponding to fig. 6 specifically includes:
the second calculating module 6031 is configured to calculate a current variance of each of the three-phase current reasonable data sets, where the current variance of each of the three-phase current reasonable data sets includes an a-phase current variance, a B-phase current variance, and a C-phase current variance;
a third calculating module 6032, configured to calculate a current covariance of each of the three-phase current rational data sets, where the current covariance of each of the three-phase current rational data sets includes an AB phase current covariance, a BC phase current covariance, and a CA phase current covariance;
and a fourth calculating module 6033, configured to substitute the current variance and the current covariance corresponding to each of the three-phase current rational data sets into a current correlation coefficient calculation formula, so as to calculate a current correlation coefficient of each of the three-phase current rational data sets.
In the embodiment of the present invention, the fourth calculation module 6033 substitutes the current variance and the current covariance of each three-phase current rational data set sequentially calculated by the second calculation module 6031 and the third calculation module 6032 into the current correlation coefficient calculation formula, so as to accurately calculate the current correlation coefficient of each three-phase current rational data set, thereby indirectly improving the accuracy of the finally generated determination result on the basis of improving the accuracy of the current correlation coefficient.
Please refer to a method flowchart corresponding to fig. 3 for the working process of each module provided in the embodiment of the present invention, and detailed description of the working process is omitted.
On the basis of the embodiment shown in fig. 6, another determining device for an unbalance management measure of a power distribution area is disclosed in the embodiment of the present invention, referring to fig. 8, which includes:
an obtaining module 601, a data preprocessing module 602, a first calculating module 603, a first comparing module 604, a second comparing module 607, a third generating module 608 and a fourth generating module 609;
the second comparing module 607 is configured to compare the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, respectively, and compare the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, respectively, when the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients are less than or equal to the first correlation threshold;
the third generating module 608 is configured to record and generate a fourth number, a fifth number and a sixth number after the second comparing module 604 compares the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold respectively, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is that the AB phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the second correlation threshold, the fifth number being that the BC phase current correlation coefficient is less than or equal to the first correlation threshold, the sixth number is the number of the phase current correlation coefficient of the CA being smaller than or equal to the first correlation threshold and larger than the second correlation threshold;
the fourth generating module 609 is configured to generate an automatic commutation device result when a second target number is greater than or equal to a second validation number value, where the second validation number value is a product of the number of all AB phase current correlation coefficients and a second correlation percentage when the second target number is the fourth number, the second validation number value is a product of the number of all BC phase current correlation coefficients and the second correlation percentage when the second target number is the fifth number, and the second validation number value is a product of the number of all CA phase current correlation coefficients and the second correlation percentage when the second target number is the sixth number.
When the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each current correlation coefficient are all less than or equal to the first correlation threshold, the second comparison module 607 compares the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each current correlation coefficient with the second correlation threshold, so as to determine whether there is a certain correlation between two-phase or three-phase currents in the three-phase current in the target distribution area, and then the third generation module 608 records that the fourth number, the fifth number, and the sixth number generated are compared with the second verification number value, and when the fourth number is greater than or equal to the second verification number value, the fifth number is greater than or equal to the second verification number value, and the fifth number is greater than or equal to the second verification number value, When the sixth number is larger than or equal to any one of the second verification number values, the fourth generation module 609 generates an automatic phase change device result, so that whether an automatic phase change device treatment measure can be adopted to quickly treat the three-phase load imbalance problem generated by the current target power distribution station area or not is judged according to the duration degree of certain correlation between two-phase or three-phase currents in the target power distribution station area, and the matching degree between the power distribution station area generating the three-phase load imbalance problem and the automatic phase change device treatment measure is improved.
Please refer to a method flowchart corresponding to fig. 4 for the working process of each module provided in the embodiment of the present invention, and detailed description of the working process is omitted.
On the basis of the embodiment shown in fig. 8, another determining device for an unbalance management measure of a power distribution area is disclosed in the embodiment of the present invention, referring to fig. 9, which includes:
an obtaining module 601, a data preprocessing module 602, a first calculating module 603, a first comparing module 604, a second comparing module 607 and a fifth generating module 6010;
the fifth generating module 6010 is configured to generate an electronic power equipment compensation result when the second comparing module compares the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, and the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients are all smaller than or equal to the second correlation threshold.
According to the method for judging the treatment measures for the unbalance of the power distribution area, disclosed by the embodiment of the invention, when the AB phase current correlation coefficient, BC phase current correlation coefficient and CA phase current correlation coefficient in each current correlation coefficient are smaller than or equal to the second correlation threshold, the compensation result of the electronic power equipment is generated by the fifth generation module 6010, the most suitable treatment measure for the current target power distribution can be timely judged to be the compensation treatment measure of the electronic power equipment, and therefore, the problem of the unbalance of the three phases of loads is quickly solved by using the electronic power equipment on the basis of improving the matching degree between the treatment measures for the compensation of the power distribution area and the electronic power equipment, which generate the problem of the unbalance of the three phases of loads.
Please refer to a method flowchart corresponding to fig. 5 for the working process of each module provided in the embodiment of the present invention, and detailed description of the working process is omitted.
An embodiment of the present invention discloses an electronic device, please refer to fig. 10, which includes a memory 701 and a processor 702;
the memory 701 is used for storing programs;
the processor 702 is configured to process the program; wherein the program includes:
acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage.
The electronic device disclosed in the embodiment of the present invention can accurately determine the treatment measures matched with the target distribution area by processing all the programs stored in the memory 701 by the processor 702, wherein the program processed by the processor 702 specifically includes that after calculating the current correlation coefficient of each reasonable three-phase current data set, the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are respectively compared with the first correlation threshold value, so as to determine whether the change trends of two-phase or three-phase currents in the three-phase current in the target distribution area are consistent, and then the first number, the second number and the third number generated by recording are respectively compared with the first verification number value, and the first number is greater than or equal to the first verification number value, the second number is greater than or equal to the first verification number value, and the second number is greater than or equal to the first verification number value, When the third number is larger than or equal to any one of the first verification number values, an artificial phase modulation result is generated, so that whether the problem of three-phase load imbalance generated by the current target power distribution station area can be rapidly treated by adopting an artificial phase modulation treatment measure or not is judged according to the duration degree of consistent variation trend of two-phase or three-phase current in the target power distribution station area, and the matching degree between the power distribution station area generating the three-phase load imbalance problem and the artificial phase modulation treatment measure is further improved, so that the time and labor cost required by the treatment process are reduced.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (11)

1. A method for judging a power distribution station unbalance treatment measure is characterized by comprising the following steps:
acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage.
2. The method for determining according to claim 1, wherein the step of performing data preprocessing on the initial three-phase current data to obtain a reasonable three-phase current data set comprises:
according to a preset unit time period, performing data grouping on the three-phase current initial data to obtain at least one three-phase current initial grouped data;
according to a preset load change time period, performing data grouping on each three-phase current initial grouped data to obtain at least one three-phase current grouped data;
and removing unreasonable grouped data from all the three-phase current grouped data, and taking the three-phase current grouped data left after removal as the three-phase current reasonable data group.
3. The determination method according to claim 2, wherein the removing unreasonable grouped data from all the three-phase current grouped data and using the three-phase current grouped data remaining after the removing as the three-phase current reasonable data group comprises:
adding the current data of the phase A, the current data of the phase B and the current data of the phase C in each three-phase current grouping data to calculate the current data sum of each three-phase current grouping data;
adding the current data of the phase A, the current data of the phase B and the current data of the phase C in the obtained initial data of the three-phase current to calculate the total sum of the initial data of the three-phase current;
dividing the current data sum of each three-phase current grouped data with the three-phase current initial data sum to calculate a three-phase current grouped data proportion value corresponding to each three-phase current grouped data;
and removing the proportion value of the three-phase current grouped data which is smaller than the three-phase current average value, and taking the remaining three-phase current grouped data after removal as the three-phase current reasonable data group, wherein the three-phase current average value is the value obtained by dividing the three-phase current initial data sum by the number of the three-phase current grouped data before removal.
4. The method of claim 1, wherein the calculating a current correlation coefficient for each of the three-phase current rational data sets comprises:
calculating the current variance of each three-phase current reasonable data set, wherein the current variance of each three-phase current reasonable data set comprises an A-phase current variance, a B-phase current variance and a C-phase current variance;
calculating the current covariance of each three-phase current reasonable data set, wherein the current covariance of each three-phase current reasonable data set comprises an AB phase current covariance, a BC phase current covariance and a CA phase current covariance;
and substituting the current variance and the current covariance corresponding to each three-phase current rational data set into a current correlation coefficient calculation formula to calculate the current correlation coefficient of each three-phase current rational data set.
5. The method according to claim 1, wherein after comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient, and the CA phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, respectively, the method further comprises:
when the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients are all less than or equal to the first correlation threshold, comparing the AB-phase current correlation coefficient, the BC-phase current correlation coefficient and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, and recording and generating a fourth number, a fifth number and a sixth number, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is the number in which the AB-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, the fifth number is the number in which the BC-phase current correlation coefficient is less than or equal to the first correlation threshold and is greater than the second correlation threshold, and the sixth number is the number in which the CA-phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the number of the second correlation threshold;
when the second target number is greater than or equal to a second verification number value, generating an automatic commutation device result, wherein when the second target number is the fourth number, the second verification number value is a product of the number of all the AB phase current correlation coefficients and a second correlation percentage, when the second target number is the fifth number, the second verification number value is a product of the number of all the BC phase current correlation coefficients and the second correlation percentage, and when the second target number is the sixth number, the second verification number value is a product of the number of all the CA phase current correlation coefficients and the second correlation percentage.
6. The method according to claim 5, further comprising, after comparing the AB phase current correlation coefficient, BC phase current correlation coefficient, and CA phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, respectively:
and when the AB phase current related coefficient, the BC phase current related coefficient and the CA phase current related coefficient in each current related coefficient are less than or equal to the second correlation threshold, generating a compensation result of the electronic power equipment.
7. The utility model provides a decision maker of unbalanced treatment measure in distribution station district which characterized in that includes:
the acquisition module is used for acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
the data preprocessing module is used for preprocessing the initial data of the three-phase current to obtain a reasonable data set of the three-phase current, the number of the reasonable data set of the three-phase current is at least one, and the data preprocessing comprises data grouping and data elimination;
the first calculation module is used for calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
the first comparison module is used for comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold value respectively;
a first generating module, configured to record and generate a first number, a second number, and a third number after the first comparing module compares an AB phase current correlation coefficient, a BC phase current correlation coefficient, and a CA phase current correlation coefficient in each of the current correlation coefficients with a first correlation threshold, where the first number is a number where the AB phase current correlation coefficient is greater than the first correlation threshold, the second number is a number where the BC phase current correlation coefficient is greater than the first correlation threshold, and the third number is a number where the CA phase current correlation coefficient is greater than the first correlation threshold;
a second generating module, configured to generate an artificial phase modulation result when a first target number is greater than or equal to a first validation number value, where the first validation number value is a product of a number of all AB phase current correlation coefficients and a first correlation percentage when the first target number is the first number, the first validation number value is a product of a number of all BC phase current correlation coefficients and the first correlation percentage when the first target number is the second number, and the first validation number value is a product of a number of all CA phase current correlation coefficients and the first correlation percentage when the first target number is the third number.
8. The determination device according to claim 7, wherein the first calculation module includes:
the second calculation module is used for calculating the current variance of each three-phase current reasonable data set, and the current variance of each three-phase current reasonable data set comprises an A-phase current variance, a B-phase current variance and a C-phase current variance;
the third calculation module is used for calculating the current covariance of each three-phase current reasonable data set, and the current covariance of each three-phase current reasonable data set comprises an AB phase current covariance, a BC phase current covariance and a CA phase current covariance;
and the fourth calculation module is used for substituting the current variance and the current covariance corresponding to each three-phase current reasonable data set into a current correlation coefficient calculation formula to calculate the current correlation coefficient of each three-phase current reasonable data set.
9. The determination device according to claim 7, further comprising:
the second comparison module is used for comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold value respectively, and comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold value respectively when the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient are all smaller than or equal to the first correlation threshold value;
a third generating module, configured to record and generate a fourth number, a fifth number, and a sixth number after the second comparing module compares the AB-phase current correlation coefficient, the BC-phase current correlation coefficient, and the CA-phase current correlation coefficient in each of the current correlation coefficients with a second correlation threshold, wherein the second correlation threshold is less than the first correlation threshold, the fourth number is that the AB phase current correlation coefficient is less than or equal to the first correlation threshold, and is greater than the second correlation threshold, the fifth number being that the BC phase current correlation coefficient is less than or equal to the first correlation threshold, the sixth number is the number of the phase current correlation coefficient of the CA being smaller than or equal to the first correlation threshold and larger than the second correlation threshold;
a fourth generating module, configured to generate an automatic commutation device result when a second target number is greater than or equal to a second validation number value, where the second validation number value is a product of a number of all AB phase current correlation coefficients and a second correlation percentage when the second target number is the fourth number, the second validation number value is a product of a number of all BC phase current correlation coefficients and the second correlation percentage when the second target number is the fifth number, and the second validation number value is a product of a number of all CA phase current correlation coefficients and the second correlation percentage when the second target number is the sixth number.
10. The determination device according to claim 9, further comprising:
and the fifth generating module is used for generating a compensation result of the electronic power equipment when the second comparing module compares the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a second correlation threshold respectively, and the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient are all smaller than or equal to the second correlation threshold.
11. An electronic device comprising a memory and a processor;
the memory is used for storing programs;
the processor is used for processing the program; wherein the program includes:
acquiring three-phase current initial data of a target power distribution area in a preset time period according to a preset time interval;
performing data preprocessing on the initial three-phase current data to obtain a three-phase current reasonable data set, wherein the number of the three-phase current reasonable data set is at least one, and the data preprocessing comprises data grouping and data elimination;
calculating a current correlation coefficient of each three-phase current reasonable data set, wherein the current correlation coefficient of each three-phase current reasonable data set comprises an AB phase current correlation coefficient, a BC phase current correlation coefficient and a CA phase current correlation coefficient;
comparing the AB phase current correlation coefficient, the BC phase current correlation coefficient and the CA phase current correlation coefficient in each current correlation coefficient with a first correlation threshold respectively, and recording and generating a first number, a second number and a third number, wherein the first number is the number of the AB phase current correlation coefficients larger than the first correlation threshold, the second number is the number of the BC phase current correlation coefficients larger than the first correlation threshold, and the third number is the number of the CA phase current correlation coefficients larger than the first correlation threshold;
when the first target number is greater than or equal to a first verification number value, generating an artificial phase modulation result, wherein when the first target number is the first number, the first verification number value is a product of the number of all the AB phase current correlation coefficients and a first correlation percentage, when the first target number is the second number, the first verification number value is a product of the number of all the BC phase current correlation coefficients and the first correlation percentage, and when the first target number is the third number, the first verification number value is a product of the number of all the CA phase current correlation coefficients and the first correlation percentage.
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