CN112035784A - Method and system for determining loss of low-voltage transformer area based on power consumption acquisition data - Google Patents

Method and system for determining loss of low-voltage transformer area based on power consumption acquisition data Download PDF

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CN112035784A
CN112035784A CN202010686416.9A CN202010686416A CN112035784A CN 112035784 A CN112035784 A CN 112035784A CN 202010686416 A CN202010686416 A CN 202010686416A CN 112035784 A CN112035784 A CN 112035784A
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刘婧
陈昊
林繁涛
张密
葛得辉
周晖
彭楚宁
王齐
李思源
徐龙光
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Beijing Zhixiang Technology Co Ltd
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Abstract

The invention relates to a method and a system for determining loss of a low-voltage transformer area based on power consumption acquisition data, which comprises the following steps: acquiring high-frequency acquired power consumption high-frequency acquired data of each user sub-meter in a first preset time period, acquiring a power supply quantity metering value of a distribution area general meter in each second preset time period, and acquiring frozen power consumption of each user sub-meter in each second preset time period; determining a distribution area line loss expression of the low-voltage distribution area in each second preset time period; determining a statistical line loss equation of the low-voltage transformer area in each second preset time period; establishing a statistical line loss equation set, and solving according to the high-frequency power consumption acquisition data, the power supply quantity metering value and the frozen power consumption to determine the metering error of each user sub-meter in the low-voltage distribution area, the distribution area fixed loss and the equivalent resistance of each branch; and substituting the metering error of each user sub-meter in the low-voltage distribution area and the equivalent resistance of each branch circuit into a distribution area line loss expression to determine the distribution area line loss of the low-voltage distribution area.

Description

Method and system for determining loss of low-voltage transformer area based on power consumption acquisition data
Technical Field
The invention relates to the technical field of electric energy metering, in particular to a method and a system for determining loss of a low-voltage transformer area based on power utilization acquisition data.
Background
Because the network of the low-voltage power network is complex and the load distribution is uneven, the data of each part in the line is not complete, and the difficulty of accurately calculating the line loss is high, the calculation can be performed only by adopting a simplified method. There are two commonly used methods, namely, the mesa depletion rate method and the voltage depletion rate method. The station area loss rate method needs to actually measure the electric energy loss and the loss rate of each typical station area, the actual measurement needs to draw a low-voltage power network wiring diagram, divide the calculation line sections of a main line and a branch line of a line, calculate load current section by section, and actually measure the load curve characteristic coefficient of the line. The method has large field workload, can not calculate the line loss aiming at each station area, and can only carry out classified estimation aiming at typical station areas, so the method has great limitation.
Therefore, a method for accurately and quickly determining the loss of the low-voltage transformer area is needed.
Disclosure of Invention
The invention provides a method and a system for determining the loss of a low-voltage transformer area based on power utilization acquisition data, and aims to solve the problem of accurately determining the line loss of the low-voltage transformer area.
In order to solve the above-mentioned problems, according to an aspect of the present invention, there is provided a method of determining a loss of a low-voltage station area based on power-usage collection data, the method including:
acquiring high-frequency acquired power consumption high-frequency acquired data of each user sub-meter in a first preset time period, acquiring a power supply quantity metering value of a distribution area general meter in each second preset time period, and acquiring frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods;
determining a distribution area line loss expression of the low-voltage distribution area in each second preset time period based on kirchhoff's law;
determining a statistical line loss equation of the low-voltage transformer area in each second preset time period based on the relation among the statistical line loss of the low-voltage transformer area, the transformer area line loss, the transformer area fixed loss and the electric energy loss caused by the errors of all user sub-meters under the transformer area and the transformer area line loss expression;
establishing a statistical line loss equation set according to a statistical line loss equation of the low-voltage distribution room in each second preset time period, and solving the statistical line loss equation set according to the high-frequency power consumption acquisition data, the power supply metering value and the frozen power consumption so as to determine the metering error of each user sub-table, the distribution room fixed loss and the equivalent resistance of each branch in the low-voltage distribution room;
and substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch circuit into a transformer area line loss expression of the low-voltage transformer area in each second preset time period, and determining the transformer area line loss of the low-voltage transformer area in each second preset time period.
Preferably, wherein the method further comprises:
and carrying out data format and integrity verification on the power consumption high-frequency acquired data, and cleaning abnormal data with data loss, data abnormality and file errors to obtain the data-cleaned power consumption high-frequency acquired data.
Preferably, the expression for determining the station line loss of the low-voltage station in each second preset time period based on kirchhoff's law includes:
Figure BDA0002587720200000021
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure BDA0002587720200000022
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure BDA0002587720200000023
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkusers j and j respectivelyMetering errors of the intelligent electric energy meter corresponding to the user k; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
Preferably, the determining a statistical line loss equation of the low-voltage distribution room in each second preset time period based on a relationship between statistical line loss of the low-voltage distribution room, distribution room line loss, distribution room fixed loss, and power loss caused by errors of all subscriber sub-meters in the distribution room, and the distribution room line loss expression includes:
Figure BDA0002587720200000031
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
Preferably, wherein the second preset time period is one day.
According to another aspect of the present invention, there is provided a system for determining line loss and fixed loss of a low-voltage station area based on power-usage collection data, the system comprising:
the data acquisition unit is used for acquiring high-frequency acquired power consumption data of each user sub-meter in a first preset time period, acquiring a power supply quantity metering value of the distribution area general meter in each second preset time period and acquiring frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods;
the transformer area line loss expression determining unit is used for determining a transformer area line loss expression of the low-voltage transformer area in each second preset time period based on kirchhoff's law;
the statistical line loss equation determining unit is used for determining a statistical line loss equation of the low-voltage transformer area in each second preset time period based on the relation among the statistical line loss of the low-voltage transformer area, the transformer area line loss, the transformer area fixed loss and the electric energy loss caused by the errors of all user sub-meters under the transformer area and the transformer area line loss expression;
the distribution area fixed loss determining unit is used for establishing a statistical line loss equation set according to a statistical line loss equation of the low-voltage distribution area in each second preset time period, and solving the statistical line loss equation set according to the power consumption high-frequency acquisition data, the power supply quantity metering value and the frozen power consumption so as to determine the metering error of each user sub-table in the low-voltage distribution area, the distribution area fixed loss and the equivalent resistance of each branch;
and the transformer area line loss determining unit is used for substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch circuit into a transformer area line loss expression of the low-voltage transformer area in each second preset time period, and determining transformer area line loss of the low-voltage transformer area in each second preset time period.
Preferably, wherein the system further comprises:
and the data cleaning unit is used for carrying out data format and integrity verification on the power consumption high-frequency acquired data, cleaning abnormal data with data loss, data abnormality and file errors, and acquiring the data-cleaned power consumption high-frequency acquired data.
Preferably, the expression determining unit for the line loss of the distribution area determines the expression of the line loss of the distribution area of the low-voltage distribution area in each second preset time period based on kirchhoff's law, and includes:
Figure BDA0002587720200000041
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure BDA0002587720200000042
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure BDA0002587720200000043
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
Preferably, the statistical line loss equation determining unit determines the statistical line loss equation of the low-voltage distribution room in each second preset time period based on a relationship among the statistical line loss of the low-voltage distribution room, the distribution room line loss, the distribution room fixed loss, and the power loss caused by errors of all subscriber sub-meters in the distribution room, and the distribution room line loss expression, and includes:
Figure BDA0002587720200000044
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phij(i) For user j at ith secondFreezing electricity consumption in a preset time period.
Preferably, wherein the second preset time period is one day.
The invention provides a method and a system for determining the loss of a low-voltage distribution room based on power consumption acquisition data, which are used for acquiring high-frequency acquired power consumption high-frequency acquisition data, a power supply metering value of a distribution room general table and frozen power consumption of each user sub-table, cleaning data and screening according to archive information to ensure the accuracy of data sources; estimating the line loss based on kirchhoff's law; the real power supply topology of the distribution area is not required to be obtained, the general table and the sub-tables of the distribution area are only required to be obtained according to the archive information in the marketing system, the equality dependency relationship between the statistical line loss of the distribution area and each user sub-table is established based on the energy conservation law, and finally the line loss of the distribution area and the fixed loss of the distribution area are obtained by solving an equation set. The method can quickly and accurately determine the line loss and the fixed loss of the transformer area, and has convenient operation and wide application range.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flow chart of a method 100 of determining loss of a low-voltage transformer area based on power usage collection data according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a system 200 for determining loss of a low-voltage transformer area based on power usage collection data according to an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flow chart of a method 100 for determining loss of a low-voltage station area based on power usage collection data according to an embodiment of the present invention. As shown in fig. 1, in the method for determining the loss of the low-voltage distribution room based on the power consumption acquisition data according to the embodiment of the present invention, the high-frequency acquisition data of the power consumption acquired at a high frequency, the power supply metering value of the total distribution table of the distribution room, and the frozen power consumption of each sub-distribution table of the user are obtained, and data cleaning and screening are performed according to the archive information, so as to ensure the accuracy of the data source; estimating the line loss based on kirchhoff's law; the real power supply topology of the distribution area is not required to be obtained, the general table and the sub-tables of the distribution area are only required to be obtained according to the archive information in the marketing system, the equality dependency relationship between the statistical line loss of the distribution area and each user sub-table is established based on the energy conservation law, and finally the line loss of the distribution area and the fixed loss of the distribution area are obtained by solving an equation set. The method can quickly and accurately determine the line loss and the fixed loss of the transformer area, and has convenient operation and wide application range. The method 100 for determining the loss of the low-voltage distribution room based on the power consumption acquisition data, which is provided by the embodiment of the invention, comprises the following steps of starting from step 101, acquiring power consumption high-frequency acquisition data acquired by each user sub-meter in a first preset time period in step 101, acquiring a power supply quantity metering value of a distribution room total meter in each second preset time period, and acquiring the frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods.
Preferably, wherein the method further comprises:
and carrying out data format and integrity verification on the power consumption high-frequency acquired data, and cleaning abnormal data with data loss, data abnormality and file errors to obtain the data-cleaned power consumption high-frequency acquired data.
Preferably, wherein the second preset time period is one day.
A low voltage distribution area is generally a transformer-powered area, and a summary table provides energy input for a plurality of user meters under the distribution area. In the embodiment of the present invention, the separation of the three types of loss under the platform region from the statistical line loss tl (total loss) includes: line loss ll (line loss), fixed loss fl (fixed loss), and power loss el (error loss) due to sub-meter error of each user under the line. If the line loss is determined by using the daily frozen power data according to the above relationship, the following two key advantages and disadvantages are provided.
Wherein, the advantage does: the metering accuracy of the electric energy meter can cause certain quantization error of data (namely certain rounding error of the acquired data), and the quantization error can be multiplied by the comprehensive multiplying power of the electric energy meter metering. The influence of quantization error can be obviously reduced by increasing the time interval between the collected data points, which has certain benefit on the calculation of the metering error EL of the electric energy meter;
the disadvantages are: when estimating the line loss LL, daily average current is obtained by using daily frozen electrical quantity/(voltage power factor), and the daily current fluctuation range of the user is usually large, so that the estimation of the line loss LL by using daily frozen electrical quantity data generates large deviation.
Through the analysis, the inventor finds that if the EL part is estimated by using the daily freezing electric quantity, and the LL part is estimated by using the high-frequency power consumption, voltage and power factor data acquired by HPLC (high performance liquid chromatography) at high frequency, the advantages of the daily freezing electric quantity data can be fully utilized, and the defects of the daily freezing electric quantity data are avoided.
Therefore, in the embodiment of the present invention, the archive information of the district general table and the user sub-table is obtained based on the marketing system, the high-frequency power consumption high-frequency collected data and the freezing amount data of the district general table and the user sub-table obtained by the power consumption information collection system are used to perform relevant inspection on the obtained data such as data format and integrity, and the data is cleaned for abnormal data such as data loss, data abnormality, file error, and the like, so as to finally obtain the cleaned high-quality data, which is used to determine the line loss and the fixed loss of the district. Wherein, the power consumption high frequency data collection includes: power usage, voltage, and power factor curves for each sampling interval.
In an embodiment of the present invention, the first preset time period is set to a plurality of days, and the second preset time period is set to a single day. The collection time of the high-frequency collected data of the power consumption of the user sub-meter can be set according to the requirement. The time of each sampling can be set to be the same time interval, for example, the time is set to be a 96-point electric quantity acquisition mode, and the 96-point electric quantity acquisition mode means that 24 hours are divided into 96 parts and the sampling is carried out once every 15 minutes; of course, a 48-point acquisition mode or a 24-point acquisition mode may be set according to requirements. The time of each sampling can also be set to be different time intervals, but although the sampling time intervals of different days are not consistent, the sampling time of different users in the same day is consistent.
In step 102, a distribution area line loss expression of the low-voltage distribution area in each second preset time period is determined based on kirchhoff's law. Preferably, the expression for determining the station line loss of the low-voltage station in each second preset time period based on kirchhoff's law includes:
Figure BDA0002587720200000081
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure BDA0002587720200000082
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure BDA0002587720200000083
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
Assuming that p users are all resistive loads in the transformer area, the second preset time is 1 day, and the high-frequency acquisition mode of the power consumption, the voltage and the power factor is a 96-point acquisition mode, the line loss ll (i) of the ith day of the transformer area should be equal to the sum of the line losses generated in 96 15-minute time periods of the ith day, that is:
Figure BDA0002587720200000084
wherein LL (i)m) Represents the line loss in the m 15 minutes on day i.
The above formula is derived to yield:
Figure BDA0002587720200000085
wherein, Xj(im),Uj(im) And
Figure BDA0002587720200000086
respectively representing the actual electricity consumption, the voltage and the power factor, X, of the jth user in the mth 15 minutes on the ith dayk(im),Uk(im) And
Figure BDA0002587720200000087
respectively representing the real electricity consumption, the voltage and the power of the kth user within the mth 15 minutes on the ith dayFactor, alphajkThe equivalent resistance of the common branch between the user j and the user k is represented as a undetermined constant.
From the above two equations, the line loss ll (i) at the ith day of the cell is:
Figure BDA0002587720200000091
due to the real electricity consumption X of the userjCannot be obtained, so by introducing calculation errorsjUsing the electricity consumption of the userjTo represent the true value X of the user's electricity consumptionjNamely:
Xj(im)＝φj(im)(1-j)，
the relationship of the line loss ll (i) at the ith day of the cell can be obtained by the above two formulas:
Figure BDA0002587720200000092
thus, once the power supply topology of the block is determined, the equivalent resistance of the branches of the block is already determined, so with this αjkIt is reasonable to establish a system of equations to be solved as undetermined constants. Because the current deviation in each sampling time period is small, the expression of the line loss LL is accurate, the establishment of an equation set is more reasonable, and the final solution result is more convincing.
Since the time detection between different sampling points does not have to be consistent, i.e. the reference time periods in a certain day do not have to be consistent (and the reference time periods in different days may also not be consistent, but the time segments for different users in the same day have to be consistent): sometimes, due to reasons such as acquisition failure, the time lengths between the acquired data points are not equal; or due to data cleaning, etc., the time length between data points is disordered, and the time length between finally adopted data is not equal. Therefore, in the embodiment of the present invention, the expression of the line loss of the station area established by using the high frequency data of different time intervals is set as follows:
Figure BDA0002587720200000093
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure BDA0002587720200000094
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure BDA0002587720200000101
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
In step 103, a statistical line loss equation of the low-voltage distribution area in each second preset time period is determined based on the relation between the statistical line loss of the low-voltage distribution area, the distribution area line loss, the distribution area fixed loss and the electric energy loss caused by the errors of all the user sub-meters in the distribution area and the distribution area line loss expression.
Preferably, the determining a statistical line loss equation of the low-voltage distribution room in each second preset time period based on a relationship between statistical line loss of the low-voltage distribution room, distribution room line loss, distribution room fixed loss, and power loss caused by errors of all subscriber sub-meters in the distribution room, and the distribution room line loss expression includes:
Figure BDA0002587720200000102
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
In the embodiment of the present invention, based on the relationship between the statistical line loss of the low-voltage distribution area, the distribution area line loss, the distribution area fixed loss, and the power loss caused by the errors of all subscriber sub-meters in the distribution area, and the distribution area line loss expression, the statistical line loss equation of the low-voltage distribution area in each second preset time period is determined as follows:
Figure BDA0002587720200000103
Figure BDA0002587720200000111
wherein, the polynomial on the left of the equal sign is statistical line loss TL; the first item on the right side of the equal sign is the line loss LL of the transformer area; second item to the right of equal sign0Fixing the loss FL for the distribution room; the third item on the right of the equal sign is electric energy loss EL caused by errors of sub-meters of all users in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
In step 104, a statistical line loss equation set is established according to a statistical line loss equation of the low-voltage distribution room in each second preset time period, and the statistical line loss equation set is solved according to the power consumption high-frequency acquisition data, the power supply quantity metering value and the frozen power consumption so as to determine the metering error of each user sub-table, the distribution room fixed loss and the equivalent resistance of each branch in the low-voltage distribution room.
In step 105, substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch into a transformer area line loss expression of the low-voltage transformer area in each second preset time period, and determining transformer area line loss of the low-voltage transformer area in each second preset time period.
In an embodiment of the invention, LL is determined from high frequency collected power, voltage and power factor data and EL is determined from daily frozen power data. And accumulating the high-frequency electric quantity of the table area general table and the user sub-table for N days to establish an equation set consisting of N equations, and solving the equation set to determine the table area line loss LL and the table area fixed loss FL.
In addition, in the embodiment of the invention, the fluctuation of the current within 15 minutes is relatively small, so that the line loss and the fixed loss of the station area can be determined based on the high-frequency electric quantity data of 96 points.
According to the method provided by the embodiment of the invention, a power grid network wiring diagram does not need to be drawn as in the traditional method, and the characteristic coefficients of load curves such as line resistance and the like do not need to be actually measured, but a mathematical model is established for solving by using a big data analysis method, so that the operation is more convenient, and the application range is wider.
Fig. 2 is a schematic diagram of a system 200 for determining loss of a low-voltage transformer area based on power usage collection data according to an embodiment of the present invention. As shown in fig. 2, a system 200 for determining line loss and fixed loss of a low-voltage transformer area based on power consumption collected data according to an embodiment of the present invention includes: the system comprises a data acquisition unit 201, a distribution room line loss expression determination unit 202, a statistical line loss equation determination unit 203, a distribution room fixed loss determination unit 204 and a distribution room line loss determination unit 205.
Preferably, the data obtaining unit 201 is configured to obtain power consumption high-frequency collected data of each user sub-meter in a first preset time period, obtain a power supply metering value of the distribution area total meter in each second preset time period, and obtain a frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods.
Preferably, wherein the system further comprises: and the data cleaning unit is used for carrying out data format and integrity verification on the power consumption high-frequency acquired data, cleaning abnormal data with data loss, data abnormality and file errors, and acquiring the data-cleaned power consumption high-frequency acquired data.
Preferably, wherein the second preset time period is one day.
Preferably, the station area line loss expression determining unit 202 is configured to determine a station area line loss expression of the low-voltage station area in each second preset time period based on kirchhoff's law.
Preferably, the unit 202 for determining the expression of the station line loss in the low-voltage station based on kirchhoff's law, includes:
Figure BDA0002587720200000121
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure BDA0002587720200000122
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure BDA0002587720200000123
respectively for the m-th sampling of the user k in the ith second preset time periodTime period deltat (i)m) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
Preferably, the statistical line loss equation determining unit 203 is configured to determine a statistical line loss equation of the low-voltage distribution room in each second preset time period based on a relationship between the statistical line loss of the low-voltage distribution room, the distribution room line loss, the distribution room fixed loss, and the power loss caused by errors of all subscriber sub-meters in the distribution room, and the distribution room line loss expression.
Preferably, the statistical line loss equation determining unit 203 determines a statistical line loss equation of the low-voltage distribution room in each second preset time period based on a relationship between the statistical line loss of the low-voltage distribution room, the distribution room line loss, the distribution room fixed loss, and the power loss caused by errors of all subscriber sub-meters in the distribution room, and the distribution room line loss expression, and includes:
Figure BDA0002587720200000131
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
Preferably, the block fixed loss determining unit 204 is configured to establish a statistical line loss equation set according to a statistical line loss equation of the low-voltage block in each second preset time period, and solve the statistical line loss equation set according to the power consumption high-frequency acquired data, the power supply metering value, and the frozen power consumption, so as to determine a metering error of each user sub-table in the low-voltage block, block fixed loss, and an equivalent resistance of each branch.
Preferably, the block line loss determining unit 205 is configured to substitute the metering error of each user sub-table in the low-voltage block and the equivalent resistance of each branch into a block line loss expression of the low-voltage block in each second preset time period, so as to determine the block line loss of the low-voltage block in each second preset time period.
The system 200 for determining the loss of the low-voltage transformer area based on the power consumption collected data according to the embodiment of the present invention corresponds to the method 100 for determining the loss of the low-voltage transformer area based on the power consumption collected data according to another embodiment of the present invention, and is not described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (10)

1. A method for determining loss of a low-voltage transformer area based on power usage collection data, the method comprising:
acquiring high-frequency acquired power consumption high-frequency acquired data of each user sub-meter in a first preset time period, acquiring a power supply quantity metering value of a distribution area general meter in each second preset time period, and acquiring frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods;
determining a distribution area line loss expression of the low-voltage distribution area in each second preset time period based on kirchhoff's law;
determining a statistical line loss equation of the low-voltage transformer area in each second preset time period based on the relation among the statistical line loss of the low-voltage transformer area, the transformer area line loss, the transformer area fixed loss and the electric energy loss caused by the errors of all user sub-meters under the transformer area and the transformer area line loss expression;
establishing a statistical line loss equation set according to a statistical line loss equation of the low-voltage distribution room in each second preset time period, and solving the statistical line loss equation set according to the high-frequency power consumption acquisition data, the power supply metering value and the frozen power consumption so as to determine the metering error of each user sub-table, the distribution room fixed loss and the equivalent resistance of each branch in the low-voltage distribution room;
and substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch circuit into a transformer area line loss expression of the low-voltage transformer area in each second preset time period, and determining the transformer area line loss of the low-voltage transformer area in each second preset time period.
2. The method of claim 1, further comprising:
and carrying out data format and integrity verification on the power consumption high-frequency acquired data, and cleaning abnormal data with data loss, data abnormality and file errors to obtain the data-cleaned power consumption high-frequency acquired data.
3. The method of claim 1, wherein the expression for determining the zone line loss of the low-voltage zone in each second preset time period based on kirchhoff's law comprises:
Figure FDA0002587720190000011
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure FDA0002587720190000021
respectively for the mth sampling time period delta t (i) of the user j in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure FDA0002587720190000022
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
4. The method according to claim 3, wherein the determining a statistical line loss equation of the low-voltage distribution room in each second preset time period based on the relation between the statistical line loss of the low-voltage distribution room, the distribution room line loss, the distribution room fixed loss and the power loss caused by the error of all subscriber sub-meters in the distribution room and the distribution room line loss expression comprises:
Figure FDA0002587720190000023
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
5. The method of claim 1, wherein the second predetermined period of time is one day.
6. A system for determining line loss and fixed loss for a low-voltage transformer area based on power usage collection data, the system comprising:
the data acquisition unit is used for acquiring high-frequency acquired power consumption data of each user sub-meter in a first preset time period, acquiring a power supply quantity metering value of the distribution area general meter in each second preset time period and acquiring frozen power consumption of each user sub-meter in each second preset time period; the first preset time period comprises a plurality of second preset time periods;
the transformer area line loss expression determining unit is used for determining a transformer area line loss expression of the low-voltage transformer area in each second preset time period based on kirchhoff's law;
the statistical line loss equation determining unit is used for determining a statistical line loss equation of the low-voltage transformer area in each second preset time period based on the relation among the statistical line loss of the low-voltage transformer area, the transformer area line loss, the transformer area fixed loss and the electric energy loss caused by the errors of all user sub-meters under the transformer area and the transformer area line loss expression;
the distribution area fixed loss determining unit is used for establishing a statistical line loss equation set according to a statistical line loss equation of the low-voltage distribution area in each second preset time period, and solving the statistical line loss equation set according to the power consumption high-frequency acquisition data, the power supply quantity metering value and the frozen power consumption so as to determine the metering error of each user sub-table in the low-voltage distribution area, the distribution area fixed loss and the equivalent resistance of each branch;
and the transformer area line loss determining unit is used for substituting the metering error of each user sub-meter in the low-voltage transformer area and the equivalent resistance of each branch circuit into a transformer area line loss expression of the low-voltage transformer area in each second preset time period, and determining transformer area line loss of the low-voltage transformer area in each second preset time period.
7. The system of claim 6, further comprising:
and the data cleaning unit is used for carrying out data format and integrity verification on the power consumption high-frequency acquired data, cleaning abnormal data with data loss, data abnormality and file errors, and acquiring the data-cleaned power consumption high-frequency acquired data.
8. The system according to claim 6, wherein the expression determining unit for the station area line loss determines the expression of the station area line loss of the low-voltage station area in each second preset time period based on kirchhoff's law, and includes:
Figure FDA0002587720190000031
wherein ll (i) is the line loss of the low-voltage transformer area in the ith second preset time period; phi is aj(im)、Uj(im) And
Figure FDA0002587720190000032
respectively for the mth sampling of the user j in the ith second preset time periodSample time period Δ t (i)m) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption; phi is ak(im)、Uk(im) And
Figure FDA0002587720190000033
respectively for the mth sampling time period delta t (i) of the user k in the ith second preset time periodm) The power consumption metering value, the voltage and the power factor in the power supply are obtained by high-frequency data acquisition of the power consumption;jandkmetering errors of the intelligent electric energy meters corresponding to the user j and the user k respectively; p is the total number of users; alpha is alphajkThe equivalent resistance of a common branch between a user j and a user k; q. q.siThe total number of sampling points in the ith second preset time period is; the second predetermined period of time being equal to qiA sampling period of time Deltat (i)m) And (4) summing.
9. The system of claim 8, wherein the statistical line loss equation determining unit determines the statistical line loss equation of the low-voltage distribution room in each second preset time period based on the relation between the statistical line loss of the low-voltage distribution room, the distribution room line loss, the distribution room fixed loss and the power loss caused by the error of all sub-subscriber distribution meters under the distribution room, and the distribution room line loss expression, and includes:
Figure FDA0002587720190000041
wherein, the polynomial on the left of the equal sign is the statistical line loss; the first item on the right side of the equal sign is the line loss of the transformer area; second item to the right of equal sign0Fixing loss for the platform area; the third item on the right side of the equal sign is the electric energy loss caused by errors of all user sub-meters in the station area; y (i) is a power supply metering value of the station area general table in the ith second preset time period; phi is aj(i) And f, freezing the electricity consumption of the user j in the ith second preset time period.
10. The system of claim 6, wherein the second predetermined period of time is one day.
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Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112379177A (en) * 2021-01-18 2021-02-19 中国电力科学研究院有限公司 Method and system for determining low-voltage line loss and electric energy meter operation error of transformer area
CN112730938A (en) * 2020-12-15 2021-04-30 北京科东电力控制系统有限责任公司 Electricity stealing user judgment method based on electricity utilization collection big data
CN113625217A (en) * 2021-07-16 2021-11-09 国网浙江省电力有限公司营销服务中心 Low-voltage transformer area electric energy meter operation error calculation method and system
CN114200382A (en) * 2021-12-13 2022-03-18 南方电网科学研究院有限责任公司 Ammeter error calculation method and device, electronic equipment and storage medium
CN115115282A (en) * 2022-08-25 2022-09-27 国网安徽省电力有限公司巢湖市供电公司 Data analysis method for high-voltage transformer area power system
CN115201743A (en) * 2022-09-16 2022-10-18 北京志翔科技股份有限公司 Method and device for determining error of metering point of low-voltage transformer area and storage medium
CN115267644A (en) * 2022-07-19 2022-11-01 广州伟宏智能科技有限公司 Method and device for detecting misalignment of electric energy meter
CN115473216A (en) * 2022-05-31 2022-12-13 云南电网有限责任公司 Method and system for improving line loss calculation of power grid
CN115600414A (en) * 2022-10-24 2023-01-13 中国电力科学研究院有限公司（Cn） Electric energy meter operation error solving method and device based on AI algorithm
CN115619594A (en) * 2022-12-21 2023-01-17 南京六的平方信息技术有限公司 Wisdom management system based on engineering construction equipment power consumption data
CN115718217A (en) * 2022-11-25 2023-02-28 中国电力科学研究院有限公司 Line loss hierarchical analysis method and system
CN115980656A (en) * 2022-11-03 2023-04-18 中国电力科学研究院有限公司 Low-voltage transformer area line loss determination method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101572413A (en) * 2009-06-05 2009-11-04 武汉珞珈天铭电气科技有限公司 Low-voltage line voltage compensating device and compensating method thereof
CN103500999A (en) * 2013-09-24 2014-01-08 国家电网公司 Low voltage distribution area power supply radius optimization method based on real-time loss
CN108063493A (en) * 2017-12-25 2018-05-22 光科技股份有限公司 A kind of method and system of quick positioning low-voltage platform area line loss
CN108512224A (en) * 2018-04-12 2018-09-07 周桂林 A kind of low-voltage platform area radius of electricity supply optimization method calculated in real time based on loss
CN111398885A (en) * 2020-03-27 2020-07-10 天津大学 Intelligent electric meter operation error monitoring method combining line loss analysis

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101572413A (en) * 2009-06-05 2009-11-04 武汉珞珈天铭电气科技有限公司 Low-voltage line voltage compensating device and compensating method thereof
CN103500999A (en) * 2013-09-24 2014-01-08 国家电网公司 Low voltage distribution area power supply radius optimization method based on real-time loss
CN108063493A (en) * 2017-12-25 2018-05-22 光科技股份有限公司 A kind of method and system of quick positioning low-voltage platform area line loss
CN108512224A (en) * 2018-04-12 2018-09-07 周桂林 A kind of low-voltage platform area radius of electricity supply optimization method calculated in real time based on loss
CN111398885A (en) * 2020-03-27 2020-07-10 天津大学 Intelligent electric meter operation error monitoring method combining line loss analysis

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
李新家;孔月萍;邹云峰;邓素兰;: "配电台区在线线损分级管理和智能异常分析设计", 电力需求侧管理, no. 02, 20 March 2016 (2016-03-20) *
林海;雷金勇;文福拴;: "基于等值电阻的低压配电系统线损计算与软件实现", 华北电力大学学报(自然科学版), no. 04, 30 July 2012 (2012-07-30) *
高九千方;: "利用移动用电监测仪有效降低低压台区线损率", 农村电气化, no. 04, 10 April 2020 (2020-04-10) *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112730938A (en) * 2020-12-15 2021-04-30 北京科东电力控制系统有限责任公司 Electricity stealing user judgment method based on electricity utilization collection big data
CN112730938B (en) * 2020-12-15 2023-05-02 北京科东电力控制系统有限责任公司 Electricity larceny user judging method based on electricity utilization acquisition big data
CN112379177A (en) * 2021-01-18 2021-02-19 中国电力科学研究院有限公司 Method and system for determining low-voltage line loss and electric energy meter operation error of transformer area
CN113625217A (en) * 2021-07-16 2021-11-09 国网浙江省电力有限公司营销服务中心 Low-voltage transformer area electric energy meter operation error calculation method and system
CN113625217B (en) * 2021-07-16 2023-09-26 国网浙江省电力有限公司营销服务中心 Low-voltage transformer area electric energy meter operation error calculation method and system
CN114200382A (en) * 2021-12-13 2022-03-18 南方电网科学研究院有限责任公司 Ammeter error calculation method and device, electronic equipment and storage medium
CN115473216A (en) * 2022-05-31 2022-12-13 云南电网有限责任公司 Method and system for improving line loss calculation of power grid
CN115267644A (en) * 2022-07-19 2022-11-01 广州伟宏智能科技有限公司 Method and device for detecting misalignment of electric energy meter
CN115115282A (en) * 2022-08-25 2022-09-27 国网安徽省电力有限公司巢湖市供电公司 Data analysis method for high-voltage transformer area power system
CN115115282B (en) * 2022-08-25 2022-11-11 国网安徽省电力有限公司巢湖市供电公司 Data analysis method for high-voltage transformer area power system
CN115201743A (en) * 2022-09-16 2022-10-18 北京志翔科技股份有限公司 Method and device for determining error of metering point of low-voltage transformer area and storage medium
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CN115980656A (en) * 2022-11-03 2023-04-18 中国电力科学研究院有限公司 Low-voltage transformer area line loss determination method and system
CN115980656B (en) * 2022-11-03 2024-03-26 中国电力科学研究院有限公司 Low-voltage transformer area line loss determination method and system
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CN115619594A (en) * 2022-12-21 2023-01-17 南京六的平方信息技术有限公司 Wisdom management system based on engineering construction equipment power consumption data

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