CN117748447A - Distribution network line transformation relation diagnosis method and system based on voltage regulation event analysis - Google Patents
Distribution network line transformation relation diagnosis method and system based on voltage regulation event analysis Download PDFInfo
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Abstract
The invention discloses a distribution network line transformation relation diagnosis method and system based on voltage regulation event analysis, wherein the method comprises the steps of dividing a distribution transformer into a trusted distribution transformer set and a suspected abnormal distribution transformer set by utilizing a voltage correlation coefficient of a bus and the distribution transformer; generating a low-voltage side bus voltage regulating event set in the transformer substation; calculating the bus voltage change rate, generating a bus voltage change rate outlier set, and obtaining a bus voltage regulation outlier set; generating a distribution transformer voltage change rate outlier set, matching with the busbar voltage regulation outlier set, and calculating distribution transformer matching rate; calculating a distribution transformer matching rate threshold of the feeder line, diagnosing a suspected abnormal distribution transformer set, and screening out a distribution transformer set with a suspected line transformer relation abnormality; and determining the suspected line transformation relation abnormal distribution transformer and the feeder line to which the distribution transformer belongs. According to the invention, the voltage regulation event is used for driving the operation data change characteristics of the learning bus and the distribution transformer, the distribution transformer with abnormal linear transformation relation is accurately identified, the linear transformation relation identification accuracy is improved, and the defect of the traditional correlation coefficient linear transformation relation diagnosis method is overcome.
Description
Technical Field
The invention belongs to the field of medium-voltage distribution network line transformation relation diagnosis, and particularly relates to a distribution network line transformation relation diagnosis method and system based on voltage regulation event analysis.
Background
The distribution network line transformation relation refers to a corresponding relation between a feeder line and a distribution transformer, and whether the line transformation relation is correct or not directly influences core business development such as power distribution network fault rush-repair, line loss calculation, line power failure management, marketing high-quality service and the like. The traditional method relies on the mode of on-site blind line inspection to check the abnormal line change relation, and is long in time consumption and high in inspection difficulty. At present, the traditional correlation coefficient linear transformation relation diagnosis method is to firstly screen out suspected abnormal distribution transformer through voltage correlation coefficient calculation and experience threshold comparison of the feeder head end and the distribution transformer, and has a certain application prospect. However, under the working condition of a complex actual running scene of the medium-voltage distribution network, the traditional correlation coefficient linear transformation relation diagnosis method still has a certain limitation on accuracy: on one hand, as the power supply radius of part of feeder lines is larger, the similarity between the distribution voltage of the rear section in the line and the voltage of the head end is obviously reduced; on the other hand, the operation condition of part of the distribution transformer is complex, the low-voltage side of the distribution transformer has the behaviors of on-load voltage regulation, capacitor switching and the like, and the voltage change trend of the abnormal part of the measurement points has obvious difference with the head end and the adjacent distribution transformer.
Therefore, the diagnosis method for researching the line transformation relation of the power distribution network and the related technology have important application values, and can help related departments to accurately identify abnormal line transformation relation distribution transformation and assist related departments to correctly maintain the line transformation relation.
Disclosure of Invention
The invention aims to: the invention provides a distribution network line change relation diagnosis method and system based on voltage regulation event analysis, which can solve the problems of long time consumption and high investigation difficulty existing in the current mode of the traditional dependence on the on-site blind inspection line change relation abnormality and the problem of low accuracy of the traditional correlation coefficient line change relation diagnosis method.
The technical scheme is as follows: the invention discloses a distribution network cable transformation relation diagnosis method based on voltage regulation event analysis, which comprises the following steps:
the method comprises the steps of obtaining voltage measurement data of a bus and a distribution transformer, and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using a traditional correlation coefficient linear transformation relation diagnosis method;
generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation;
obtaining bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set OutSET, and obtaining a bus voltage regulation outlier set OutEventSET matched with a voltage regulation event set EventSET;
Acquiring distribution voltage measurement data of all feeder lines under a bus, generating a distribution voltage change rate outlier set OutDtSET, matching the distribution voltage change rate outlier set OutDtSET with a bus voltage regulation outlier set OutEventSET, and calculating a distribution matching rate;
calculating a distribution transformer matching rate threshold of the feeder line by using the trusted distribution transformer set A, further diagnosing the suspected abnormal distribution transformer set B, and screening out a distribution transformer set C with an abnormal suspected line transformer relation;
and recommending the feeder line to which the suspected line change relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line change relation abnormal, and finally determining the feeder line to which the suspected line change relation abnormal distribution transformer and the distribution transformer belong.
Further, voltage measurement data of a bus and a distribution transformer are obtained, the distribution transformer is divided into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using a traditional correlation coefficient linear transformation relation diagnosis method, and the method comprises the following steps:
acquiring voltage measurement data of buses and distribution transformers, and calculating voltage correlation coefficients between each distribution transformer and buses to which each distribution transformer originally belongs;
if the voltage correlation coefficient between the distribution transformer and the bus to which the distribution transformer originally belongs is larger than or equal to the correlation coefficient threshold, the distribution transformer is changed into a correct distribution transformer with a linear transformation relation, the distribution transformer is divided into a trusted distribution transformer set A, and otherwise, the distribution transformer is divided into a suspected abnormal distribution transformer set B.
Further, generating a voltage regulation event set EventSET of a low-voltage side bus in the transformer substation, including the following steps:
aiming at a low-voltage side bus in a transformer substation, traversing and identifying a main transformer to which the low-voltage side bus belongs and the low-voltage side bus directly connected with the main transformer according to the topology in the substation to form a bus group with the main transformer;
looking up a given period of time T in an EMS system n And (3) in the process, the transformer gear adjustment record of the bus group, the capacitor switching of each bus and the reactor switching event form a voltage regulating event set EventSET.
Further, obtaining bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set outletSET, and obtaining a bus voltage regulation outlier set outletEventSET matched with a voltage regulation event set EventSET, wherein the method comprises the following steps:
acquiring bus bar in time period T n The voltage measurement data in the circuit are as follows:
wherein u is i,j Represents the ith bus bar, the th j Voltage at each moment;
bus voltage normalization is carried out by utilizing the reference voltage, the bus voltage change rate is calculated according to the front-back voltage difference value, and the ith bus voltage change rate sequence is as follows:
in the method, in the process of the invention,represents the ith bus bar, the th j The voltage change rate at each moment; / >A reference voltage representing an i-th bus;
the voltage change rate threshold of the absolute value of the ith busbar voltage change rate sequence is defined by using a 3Sigma principle, and the calculation formula is as follows:
ε i ＝ξ i +3δ i
wherein ε i 、ξ i 、δ i The voltage change rate threshold value, the average value and the standard deviation of the absolute value of the ith bus voltage change rate sequence are respectively set;
generating a bus voltage change rate outlier set according to a voltage change rate threshold value out-of-limit method; if the voltage change rate x i,j Voltage change rate threshold epsilon higher than the absolute value of the ith bus voltage change rate sequence i Then the ith bus bar is the T j The moments are forward outliers; if the ith bus is the T j Rate of change of voltage x at each instant i,j Lower than-epsilon i Then the ith bus bar is the T j The moments are negative outliers; putting both the positive outlier and the negative outlier into a bus voltage change rate outlier set;
carrying out association matching on a bus voltage change rate outlier set OutSET and a voltage regulating event set EventSET according to a time and direction consistency principle, wherein positive and negative outliers are respectively consistent with the directions of voltage regulating events of boosting and reducing;
and deleting the outliers which are not matched with the up-voltage regulating event or the outliers which are matched with the up-voltage regulating event but are adjacent to each other in the sampling time in opposite directions from the outlier set of the bus voltage change rate, thereby generating a bus voltage regulating outlier set OutEventSET which is matched with the up-voltage regulating event.
Further, obtaining distribution voltage measurement data of all feeder lines under the bus, generating a distribution voltage change rate outlier set OutDtSET, matching the distribution voltage change rate outlier set OutDtSET with the bus voltage regulation outlier set OutEventSET, and calculating a distribution matching rate, wherein the distribution matching rate comprises the following steps:
acquiring distribution and transformation voltage data of all feeder lines under a bus, and determining a time period T n Normalizing the voltage measurement time sequence data in the power distribution transformer, calculating the voltage change rate of each time sequence point of the power distribution transformer, and the ith power distribution transformerThe voltage change rate sequence is as follows:
in the method, in the process of the invention,represents the ith distribution transformer T j The voltage change rate at each moment; v i,j Represents the ith distribution transformer T j Voltage at each moment; />A reference voltage representing an ith power distribution transformer;
defining a voltage change rate threshold eta of the absolute value of the ith distribution voltage change rate sequence by using a box diagram i The calculation formula is as follows:
η i ＝p i,3 +λ(p i,3 -p i,1 )
wherein p is i，3 、p i,1 Respectively represent the ith distribution voltage change rate sequence y i A quarter-three-digit number, a quarter-one-digit number of the absolute value; λ represents a parameter;
generating an outlt set of the distribution voltage change rate outlier set according to the voltage change rate threshold value out-of-limit method; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j Voltage change rate threshold eta higher than the absolute value of the ith power distribution voltage change rate sequence i The ith power distribution transformer is the T j The moments are forward outliers; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j Below-eta i The ith power distribution transformer is the T j The moments are negative outliers; putting both the positive outlier and the negative outlier into an outlier set OutDtSET with the change rate of the distribution voltage;
carrying out association matching on the distribution voltage change rate outlier set OutDtSET and the bus voltage regulation outlier set OutEventSET by utilizing a principle of consistency of time and outlier directions, and calculating distribution transformer matching rate;
the calculation formula of the matching rate of the distribution transformer is as follows:
wherein R is i Representing the matching rate of the ith distribution transformer; c (C) i Representing the number of bus voltage regulation outliers which belong to the matching of the outlier of the ith distribution transformer; d (D) i And (5) indicating the total number of the busbar voltage regulation outliers to which the ith distribution transformer belongs.
Further, the trusted distribution transformer set A is used for calculating a distribution transformer matching rate threshold of the feeder line, the suspected abnormal distribution transformer set B is further diagnosed, and a distribution transformer set C with suspected line transformer relation abnormality is screened out, and the method comprises the following steps:
aiming at all the distribution transformers under the feeder kx of the ith bus, screening out m distribution transformers with voltage correlation coefficients greater than or equal to a correlation coefficient threshold under the feeder kx by utilizing a trusted distribution transformer set A, and taking the average matching rate of the m distribution transformers as a distribution transformer matching rate threshold of the feeder kx;
The calculation formula of the distribution transformer matching rate threshold value of the feeder kx is as follows:
wherein R represents a distribution transformer matching rate threshold value of the feeder kx, and is also an average matching rate of m distribution transformers with voltage correlation coefficients under the feeder kx being more than or equal to the correlation coefficient threshold value; r is R i Representing the ith matching rate of the distribution transformer;
further diagnosing a suspected abnormal distribution transformer set B, and if a certain distribution transformer under the jurisdiction of the feeder kx is in the set B and the distribution transformer matching rate is smaller than a distribution transformer matching rate threshold value R of the feeder kx, dividing the distribution transformer into a distribution transformer set C with an abnormal suspected line transformer relation.
Further, for the distribution transformer set C with abnormal suspected line transformation relation, recommending a feeder line to which the distribution transformer with abnormal suspected line transformation relation most possibly belongs by using a KNN algorithm, and finally determining the feeder lines to which the distribution transformer with abnormal suspected line transformation relation belongs, including the following steps:
aiming at a distribution transformer set C with abnormal suspected line transformer relation, screening a nearby feeder set S of all non-belonging feeders within the ith distribution transformer l kilometers according to longitude and latitude coordinates of a transformer substation in a GIS system i ；
Collecting S of the nearby feeders of all non-belonging feeders within l kilometers of the ith distribution transformer i All the distribution and transformation voltage change rate, voltage correlation coefficient and distribution and transformation matching rate data are used as a sample set of a KNN algorithm;
And carrying out classification prediction on the sample set by using a KNN algorithm, screening a feeder line to which the ith distribution transformer most probably belongs, and changing the ith distribution transformer into a line transformation relationship abnormal distribution transformer most probably belonging to the feeder line.
Based on the same inventive concept, the power distribution network line change relation diagnosis system based on voltage regulation event analysis comprises:
the distribution transformer dividing module is used for acquiring voltage measurement data of the bus and the distribution transformer and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by utilizing a traditional correlation coefficient linear transformation relation diagnosis method;
the voltage regulating event set generation module is used for generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation;
the bus voltage regulation outlier set generating module is used for acquiring bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set, and acquiring a bus voltage regulation outlier set OutEventSET matched with the voltage regulation event set EventSET;
the distribution transformer matching rate calculation module is used for acquiring distribution transformer voltage measurement data of all feeder lines under the bus, generating a distribution transformer voltage change rate outlier set OutDtSET, matching the distribution transformer voltage change rate outlier set OutDtSET with a bus voltage regulation outlier set OutEventSET, and calculating a distribution transformer matching rate;
The suspected abnormal distribution transformer set generating module is used for calculating a distribution transformer matching rate threshold of the feeder line by utilizing the trusted distribution transformer set A, further diagnosing the suspected abnormal distribution transformer set B and screening a distribution transformer set C with an abnormal suspected line transformer relation;
the abnormal distribution transformer determining module is used for recommending a feeder line to which the suspected line transformation relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line transformation relation abnormal, and finally determining the feeder line to which the suspected line transformation relation abnormal distribution transformer and the distribution transformer belong.
Based on the same inventive concept, the power distribution network line change relation diagnosis device based on the voltage regulation event analysis comprises a processor and a memory, wherein the memory is stored with computer instructions, the processor is used for executing the computer instructions stored in the memory, and the electronic device realizes the steps of the power distribution network line change relation diagnosis method based on the voltage regulation event analysis when the computer instructions are executed by the processor.
Based on the same inventive concept, the computer readable storage medium of the present invention stores a computer program thereon, which when executed by a processor, implements the steps of the above-described power distribution network cable change relation diagnosis method based on the voltage regulation event analysis.
The beneficial effects are that: compared with the prior art, the technical scheme of the invention has the beneficial effects that:
(1) The invention comprehensively considers the data association rule between the distribution transformer voltage mutation, the bus voltage mutation and the voltage regulating event record, and performs the line change relation diagnosis based on the voltage regulating event analysis, thereby having high accuracy.
(2) The invention calculates the threshold value of the matching rate of the distribution transformer by utilizing the correlation coefficient of the feeder line and the distribution transformer voltage, realizes the dynamic matching rate threshold value of the distribution transformer of 'one line one policy', and avoids manual assignment.
(3) The invention recommends the feeder line to which the suspected line change relation abnormal distribution transformer most possibly belongs by utilizing the KNN algorithm, further determines the distribution transformer with abnormal line change relation and is convenient for operation and maintenance personnel to verify.
(4) The invention has simple calculation and clear principle, can help distribution network operators to find out abnormal distribution of the line change relation and correctly maintain the line change relation in time, and has good application prospect.
Drawings
Fig. 1 is a schematic flow chart of a power distribution network cable change relation diagnosis method based on voltage regulation event analysis, which is disclosed by the embodiment of the invention;
fig. 2 is a schematic structural diagram of a distribution network cable change relation diagnosis system based on voltage regulation event analysis according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a distribution network cable change relation diagnosis device based on voltage regulation event analysis according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is described in detail below with reference to the detailed description and the attached drawings.
Example 1
Referring to fig. 1, fig. 1 is a flow chart of a power distribution network cable change relation diagnosis method based on voltage regulation event analysis according to an embodiment of the present invention. The distribution network line transformation relation diagnosis method based on the voltage regulation event analysis described in fig. 1 is applied to a medium voltage distribution network, for example, the distribution network line transformation relation diagnosis method is not limited in the embodiment of the invention. As shown in fig. 1, the power distribution network cable transformation relation diagnosis method based on voltage regulation event analysis of the present invention may include the following operations:
s1, acquiring voltage measurement data of a bus and a distribution transformer, and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using a traditional correlation coefficient linear transformation relation diagnosis method. The method specifically comprises the following steps:
s1.1, acquiring voltage measurement data of buses and distribution transformers, and calculating voltage correlation coefficients between each distribution transformer and the buses to which each distribution transformer originally belongs; the method comprises the following steps:
S1.1.1, acquiring bus in time period T n The voltage measurement data in the circuit are as follows:
wherein u is i,j Is the ith bus bar and the T j Voltage at each moment;
s1.1.2, acquiring the ith distribution transformer governed by a certain feeder line under a bus in a time period T n The voltage measurement data in the circuit are as follows:
wherein v is i,j Is the ith distribution transformer T j Voltage at each instant.
S1.1.3, calculating the correlation coefficient of all distribution transformers governed by a feeder under the bus and the bus voltage. The calculation formula of the voltage correlation coefficient of the ith power distribution transformer and the bus is as follows:
wherein P is i For the voltage related coefficient of the ith power distribution transformer and the bus,for the bus to which the ith distribution transformer belongs and the average voltage value of the distribution transformer, u i,j 、v i,j T for the ith distribution transformer j The bus of each moment and the voltage of the distribution transformer.
S1.2, if the voltage correlation coefficient between the distribution transformer and the bus is greater than or equal to the correlation coefficient threshold, the distribution transformer is changed into a line transformation relation correct distribution transformer, the distribution transformer is divided into a trusted distribution transformer set A, and otherwise, the distribution transformer is divided into a suspected abnormal distribution transformer set B.
In this embodiment, if the correlation coefficient between the distribution transformer and the bus is greater than or equal to 0.9, the distribution transformer is changed into a correct distribution transformer with a linear transformation relationship, and the distribution transformer is divided into a trusted distribution transformer set a, otherwise, the distribution transformer is divided into a suspected abnormal distribution transformer set B.
S2, generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation; the method specifically comprises the following steps:
s2.1, aiming at a low-voltage side bus in a transformer substation, traversing and identifying a main transformer to which the low-voltage side bus belongs and the low-voltage side bus directly connected with the main transformer according to the topology in the substation to form a bus group with the main transformer;
in the embodiment, the in-station topological relation of a transformer substation-main transformer-bus is read in a PMS (equipment asset lean management) system, and a bus group BusSET with the main transformer is formed by traversing and identifying the main transformer to which the in-station topological relation belongs and other directly connected low-voltage side buses according to the in-station topology aiming at the low-voltage side buses in the transformer substation;
s2.2, searching for a given time period T in an EMS (energy management) system n And (3) the transformer gear adjustment record of the bus group BusSET, the capacitor switching and reactor switching events of each bus, and a voltage regulating event set EventSET are formed.
S3, obtaining bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set OutSET, and obtaining a bus voltage regulation outlier set OutEventSET matched with the voltage regulation event set EventSET. The method specifically comprises the following steps:
S3.1, acquiring bus in time period T n The voltage measurement data in the circuit are as follows:
wherein u is i,j Represents the ith bus bar, the th j Voltage at each moment;
in this embodiment, bus voltage measurement data sampled every 15min is obtained from a D5000 (smart grid scheduling control) system, and the foregoing sampling frequency sampled every 15min may be modified according to practical situations. Setting the ith bus bar in a time period T n The voltage measurement data in the circuit are as follows:
wherein u is i,j Is the ith bus bar and the T j Voltage at each moment;
s3.2, carrying out bus voltage normalization by using the reference voltage, and calculating the bus voltage change rate according to the front-back voltage difference value, wherein the ith bus voltage change rate sequence is as follows:
in the method, in the process of the invention,represents the ith bus bar, the th j The voltage change rate at each moment; />A reference voltage representing an i-th bus; if the bus voltage class is 10kV, the reference voltage is 10;
s3.3, defining a voltage change rate threshold of the absolute value of the ith busbar voltage change rate sequence by using a 3Sigma principle, wherein the calculation formula is as follows:
ε i ＝ξ i +3δ i
wherein ε i 、ξ i 、δ i The voltage change rate threshold value, the average value and the standard deviation of the absolute value of the ith bus voltage change rate sequence are respectively set;
s3.4, generating a bus voltage change rate outlier set according to a voltage change rate threshold value out-of-limit method; if the voltage change rate x i,j Voltage change rate threshold epsilon higher than the absolute value of the ith bus voltage change rate sequence i Then the ith bus bar is the T j The moments are forward outliers; if the ith bus is the T j Rate of change of voltage x at each instant i,j Lower than-epsilon i Then the ith bus bar is the T j The moments are negative outliers; putting both the positive outlier and the negative outlier into a bus voltage change rate outlier set;
s3.5, carrying out association matching on a bus voltage change rate outlier set OutSET and a voltage regulating event set EventSET according to a time and direction consistency principle, wherein positive and negative outliers are respectively consistent with the directions of voltage regulating events of boosting and reducing;
and S3.6, deleting the outliers which are not matched with the up-voltage regulating event or the outlier sets which are matched with the up-voltage regulating event but are adjacent to the outliers in the sampling time in opposite directions from the outlier sets in the bus voltage change rate, thereby generating the bus voltage regulating outlier set OutEventSET which is matched with the up-voltage regulating event.
S4, acquiring distribution voltage measurement data of all feeder lines under the bus, generating a distribution voltage change rate outlier set OutDtSET, matching the distribution voltage change rate outlier set OutDtSET with the bus voltage regulation outlier set OutEventSET, and calculating distribution matching rate. The method specifically comprises the following steps:
S4.1, acquiring distribution and voltage data of all feeder lines under the bus, and determining a time period T n And normalizing the voltage measurement time sequence data in the time sequence data, and calculating the voltage change rate of each time sequence point.
In this embodiment, the distribution and transformation voltage data under all feeder lines under the bus are obtained, and the time period T is set n The voltage measurement time sequence data in the power distribution transformer are normalized, the voltage change rate of each time sequence point of the power distribution transformer is calculated, and the ith power distribution transformer voltage change rate sequence is as follows:
in the method, in the process of the invention,represents the ith distribution transformer T j The voltage change rate at each moment; v i,j Represents the ith distribution transformer T j Voltage at each moment; />A reference voltage representing an ith power distribution transformer;
s4.2, generating an outlier set OutDtSET of the distribution voltage change rate according to a voltage change rate threshold value out-of-limit method.
In the present embodiment, the voltage change rate threshold η of the absolute value of the i-th distribution voltage change rate sequence is defined by using a box diagram i The calculation formula is as follows:
η i ＝p i,3 +λ(p i,3 -p i,1 )
wherein p is i，3 、p i,1 Respectively represent the ith distribution voltage change rate sequence y i A quarter-three-digit number, a quarter-one-digit number of the absolute value; λ represents a parameter;
generating an outlt set of the distribution voltage change rate outlier set according to the voltage change rate threshold value out-of-limit method; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j Voltage change rate threshold eta higher than the absolute value of the ith power distribution voltage change rate sequence i The ith power distribution transformer is the T j The moments are forward outliers; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j Below-eta i The ith power distribution transformer is the T j The moments are negative outliers; both positive and negative outliers are put into the set of distribution voltage change rate outliers OutDtSET.
And S4.3, matching the distribution transformer voltage change rate outlier set OutDtSET with the bus voltage regulation outlier set OutEventSET by using a correlation method, and calculating the distribution transformer matching rate.
In the embodiment, the principle of consistency of time and outlier direction is utilized to carry out association matching on the distribution voltage change rate outlier set OutDtSET and the busbar voltage regulation outlier set OutEventSET, and the distribution transformer matching rate is calculated;
the calculation formula of the matching rate of the distribution transformer is as follows:
wherein R is i Representing the matching rate of the ith distribution transformer; c (C) i Representing the number of bus voltage regulation outliers which belong to the matching of the outlier of the ith distribution transformer; d (D) i And (5) indicating the total number of the busbar voltage regulation outliers to which the ith distribution transformer belongs.
S5, calculating a matching rate threshold of the feeder line by using the trusted matching rate set A, and further diagnosing the suspected abnormal matching rate set B as a dynamic matching rate threshold of the first line policy, and screening out a matching rate set C with an abnormal suspected line transformation relation. The method specifically comprises the following steps:
S5.1, screening m distribution transformers with voltage correlation coefficients greater than or equal to correlation coefficient thresholds under the feeder kx by utilizing a trusted distribution transformer set A aiming at all distribution transformers under the feeder kx under the ith bus, and taking the average matching rate of the m distribution transformers as a distribution transformer matching rate threshold of the feeder kx and also as a 'first line policy' dynamic distribution transformer matching rate threshold of the feeder kx;
the calculation formula of the distribution transformer matching rate threshold value of the feeder kx is as follows:
wherein R represents a distribution transformer matching rate threshold value of the feeder kx, and is also an average matching rate of m distribution transformers with voltage correlation coefficients under the feeder kx being more than or equal to the correlation coefficient threshold value; r is R i Representing the ith matching rate of the distribution transformer;
s5.2, further diagnosing a suspected abnormal distribution set B by using a 'line-of-a-line strategy' dynamic distribution matching rate threshold value of the feeder kx; if a certain distribution transformer under the control of the feeder kx is in the set B, and the distribution transformer matching rate is smaller than a distribution transformer matching rate threshold R of the feeder kx, dividing the distribution transformer into a distribution transformer set C with suspected line transformer relation abnormality.
S6, recommending a feeder line to which the suspected line change relation abnormal distribution transformer most possibly belongs by using a KNN algorithm according to the distribution transformer set C with the suspected line change relation abnormal, and finally determining the feeder line to which the suspected line change relation abnormal distribution transformer and the distribution transformer belong. The method specifically comprises the following steps:
S6.1, screening a nearby feeder set S of all non-belonging feeders within the ith distribution transformer l kilometers according to longitude and latitude coordinates of a transformer substation in a GIS (geographic information system) aiming at a distribution transformer set C with abnormal suspected line transformation relation i ；
S6.2, collecting the nearby feeder lines S of all the non-belonging feeder lines within the ith distribution transformer l kilometers i And taking all the distribution voltage change rate, the voltage correlation coefficient and the distribution matching rate data as a sample set of the KNN algorithm.
In this embodiment, the ith distribution transformer vicinity feeder set S i All the distribution voltage change rate, voltage correlation coefficient and distributionThe variable matching rate is used for constructing a KNN algorithm sample set, samples with correct linear transformation relations are randomly divided into 75% of training sets and 25% of test sets, and the distribution transformer with abnormal suspected linear transformation relations is used as a verification set.
S6.3, classifying and predicting the sample set by using a KNN algorithm, screening a feeder line to which the ith distribution transformer most probably belongs, and changing the ith distribution transformer into a line transformation relationship abnormal distribution transformer most probably belonging to the feeder line.
In this embodiment, the training set and the testing set are input into the KNN algorithm to perform training and testing, the algorithm accuracy is calculated, and the K value is dynamically corrected and selected according to the accuracy corresponding to different parameters of the K value in the algorithm. The trained KNN algorithm is applied to the verification set, w nearest-neighbor distribution transformers of the ith distribution transformer are screened out, and more than half of the w distribution transformers belong to the feeder line set S i If the line is the feeder XL, the ith line transformation relation abnormal distribution transformer recommends that the line should be hung as the feeder XL. The accuracy of the final recommendation algorithm reaches 96.8%.
The technical scheme of the invention utilizes the voltage regulation event of voltage fluctuation caused by voltage optimization control to assist in studying and judging the linear transformation relation, and makes up the defects of the traditional related coefficient linear transformation relation diagnosis method. The voltage regulating event comprises events such as main transformer gear adjustment, capacitor switching of a bus, reactor switching event and the like, and obvious voltage fluctuation characteristics can occur to the bus and the distribution transformer of the feeder line under the impact of the voltage regulating event. The distribution network line change relation diagnosis method based on the voltage regulation event analysis integrates the measurement data change characteristics of the voltage regulation event, the feeder line and the distribution transformer, and can be used for identifying distribution network line change relations of any scale.
According to the invention, the voltage regulation event is used for driving the operation data change characteristics of the learning bus and the distribution transformer, the distribution transformer with abnormal linear transformation relation is accurately identified, the traditional topological relation management service is promoted to be intelligently and automatically transformed and upgraded, the accuracy of linear transformation relation identification is improved, the defect of the traditional correlation coefficient linear transformation relation diagnosis method is overcome, and the power-assisted correlation departments correctly maintain the linear transformation relation.
Example 2
Referring to fig. 2, fig. 2 is a schematic structural diagram of a distribution network cable change relation diagnosis system based on voltage regulation event analysis, where the system may implement distribution network cable change relation diagnosis, and specifically includes:
the distribution transformer dividing module is used for acquiring voltage measurement data of the bus and the distribution transformer and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by utilizing a traditional correlation coefficient linear transformation relation diagnosis method;
the voltage regulating event set generation module is used for generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation;
the bus voltage regulation outlier set generating module is used for acquiring bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set, and acquiring a bus voltage regulation outlier set OutEventSET matched with the voltage regulation event set EventSET;
the distribution transformer matching rate calculation module is used for acquiring distribution transformer voltage measurement data of all feeder lines under the bus, generating a distribution transformer voltage change rate outlier set OutDtSET, matching the distribution transformer voltage change rate outlier set OutDtSET with a bus voltage regulation outlier set OutEventSET, and calculating a distribution transformer matching rate;
The suspected abnormal distribution transformer set generating module is used for calculating a distribution transformer matching rate threshold of the feeder line by utilizing the trusted distribution transformer set A, further diagnosing the suspected abnormal distribution transformer set B and screening a distribution transformer set C with an abnormal suspected line transformer relation;
the abnormal distribution transformer determining module is used for recommending a feeder line to which the suspected line transformation relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line transformation relation abnormal, and finally determining the feeder line to which the suspected line transformation relation abnormal distribution transformer and the distribution transformer belong.
In an alternative embodiment, the power distribution network cable change relation diagnosis method based on the voltage regulation event analysis comprises the following steps: a) The method comprises the steps of obtaining voltage measurement data of a bus and a distribution transformer, and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using a traditional correlation coefficient linear transformation relation diagnosis method; b) Generating a voltage regulating event set of a low-voltage side bus in the transformer substation; c) Calculating the bus voltage change rate, generating a bus voltage change rate outlier set, and acquiring a bus voltage regulation outlier set which can be matched with an upper voltage regulation event; d) Acquiring distribution voltage measurement data of all feeder lines under a bus, generating a distribution voltage change rate outlier set, matching the set with the bus voltage regulation outlier set, and calculating distribution matching rate; e) Calculating a distribution matching rate threshold of the feeder line by using the trusted distribution set A, further diagnosing a suspected abnormal distribution set B as a dynamic distribution matching rate threshold of a first line policy, and screening a distribution set C with a suspected line transformation relation abnormality; f) And recommending the feeder line to which the suspected line change relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line change relation abnormal, and finally determining the feeder line to which the suspected line change relation abnormal distribution transformer and the distribution transformer belong.
Example 3
Referring to fig. 3, fig. 3 is a schematic structural diagram of a power distribution network cable change relation diagnosis device based on voltage regulation event analysis according to an embodiment of the present invention. The apparatus described in fig. 3 can be applied to a medium voltage distribution network, for example, for diagnosing a cable-changing relationship of the distribution network, and the embodiment of the invention is not limited.
As shown in fig. 3, the apparatus may include a processor and a memory, where the memory stores computer instructions, and the processor is configured to execute the computer instructions stored in the memory, where the electronic apparatus implements the steps of the method according to the above embodiment and achieves technical effects consistent with the method.
The memory may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) and/or cache memory. The device may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, memory may be used to read from or write to non-removable, non-volatile magnetic media (commonly referred to as a "hard disk drive"). A program/utility having a set (at least one) of program modules may be stored, for example, in a memory, such program modules including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules typically carry out the functions and/or methods of the embodiments described herein.
The processor executes various functional applications and data processing by running programs stored in the memory, for example, to implement the method provided by the first embodiment of the present invention.
Example 4
The present invention also includes a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method described in the above embodiments and achieves technical effects consistent with the method described above.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the above method operations, but may also perform the related operations in the method provided in any embodiment of the present invention.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention and are not to be construed as limiting the invention, but are intended to cover all modifications, alternatives, equivalents, and improvements made thereon.
Claims (10)
1. The power distribution network line transformation relation diagnosis method based on the voltage regulation event analysis is characterized by comprising the following steps of:
the method comprises the steps of obtaining voltage measurement data of a bus and a distribution transformer, and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using a traditional correlation coefficient linear transformation relation diagnosis method;
generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation;
obtaining bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set OutSET, and obtaining a bus voltage regulation outlier set OutEventSET matched with a voltage regulation event set EventSET;
Acquiring distribution voltage measurement data of all feeder lines under a bus, generating a distribution voltage change rate outlier set OutDtSET, matching the distribution voltage change rate outlier set OutDtSET with a bus voltage regulation outlier set OutEventSET, and calculating a distribution matching rate;
calculating a distribution transformer matching rate threshold of the feeder line by using the trusted distribution transformer set A, further diagnosing the suspected abnormal distribution transformer set B, and screening out a distribution transformer set C with an abnormal suspected line transformer relation;
and recommending the feeder line to which the suspected line change relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line change relation abnormal, and finally determining the feeder line to which the suspected line change relation abnormal distribution transformer and the distribution transformer belong.
2. The method for diagnosing the line change relation of the power distribution network based on the voltage regulation event analysis according to claim 1, wherein the voltage measurement data of a bus and a distribution transformer are obtained, the distribution transformer is divided into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by using the traditional correlation coefficient line change relation diagnosis method, and the method comprises the following steps:
acquiring voltage measurement data of buses and distribution transformers, and calculating voltage correlation coefficients between each distribution transformer and buses to which each distribution transformer originally belongs;
if the voltage correlation coefficient between the distribution transformer and the bus to which the distribution transformer originally belongs is larger than or equal to the correlation coefficient threshold, the distribution transformer is changed into a correct distribution transformer with a linear transformation relation, the distribution transformer is divided into a trusted distribution transformer set A, and otherwise, the distribution transformer is divided into a suspected abnormal distribution transformer set B.
3. The method for diagnosing a transformation relationship of a power distribution network cable based on voltage regulation event analysis according to claim 1, wherein the step of generating a voltage regulation event set EventSET of a low-voltage side bus in a transformer substation comprises the following steps:
aiming at a low-voltage side bus in a transformer substation, traversing and identifying a main transformer to which the low-voltage side bus belongs and the low-voltage side bus directly connected with the main transformer according to the topology in the substation to form a bus group with the main transformer;
looking up a given period of time T in an EMS system n And (3) in the process, the transformer gear adjustment record of the bus group, the capacitor switching of each bus and the reactor switching event form a voltage regulating event set EventSET.
4. The method for diagnosing a change relation of a power distribution network line based on voltage regulation event analysis according to claim 1, wherein the steps of obtaining bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set out set, and obtaining a bus voltage regulation outlier set out EventSET matched with the voltage regulation event set EventSET are performed, and the method comprises the following steps:
acquiring bus bar in time period T n The voltage measurement data in the circuit are as follows:
wherein u is i,j Represents the ith bus bar, the th j Voltage at each moment;
bus voltage normalization is carried out by utilizing the reference voltage, the bus voltage change rate is calculated according to the front-back voltage difference value, and the ith bus voltage change rate sequence is as follows:
In the method, in the process of the invention,represents the ith bus bar, the th j The voltage change rate at each moment; />A reference voltage representing an i-th bus;
the voltage change rate threshold of the absolute value of the ith busbar voltage change rate sequence is defined by using a 3Sigma principle, and the calculation formula is as follows:
ε i ＝ξ i +3δ i
wherein ε i 、ξ i 、δ i The voltage change rate threshold value, the average value and the standard deviation of the absolute value of the ith bus voltage change rate sequence are respectively set;
generating a bus voltage change rate outlier set according to a voltage change rate threshold value out-of-limit method; if the voltage change rate x i,j Voltage change rate threshold epsilon higher than the absolute value of the ith bus voltage change rate sequence i Then the ith bus bar is the T j The moments are forward outliers; if the ith bus is the T j Rate of change of voltage x at each instant i,j Lower than-epsilon i Then the ith bus bar is the T j The moments are negative outliers; putting both the positive outlier and the negative outlier into a bus voltage change rate outlier set;
carrying out association matching on a bus voltage change rate outlier set OutSET and a voltage regulating event set EventSET according to a time and direction consistency principle, wherein positive and negative outliers are respectively consistent with the directions of voltage regulating events of boosting and reducing;
and deleting the outliers which are not matched with the up-voltage regulating event or the outliers which are matched with the up-voltage regulating event but are adjacent to each other in the sampling time in opposite directions from the outlier set of the bus voltage change rate, thereby generating a bus voltage regulating outlier set OutEventSET which is matched with the up-voltage regulating event.
5. The method for diagnosing a transformation relationship between power distribution network lines based on voltage regulation event analysis according to claim 1, wherein the method is characterized by obtaining measurement data of distribution voltage under all feeder lines under a bus, generating a distribution voltage change rate outlier set OutDtSET, matching the distribution voltage change rate outlier set with the bus voltage regulation outlier set OutEventSET, and calculating a distribution transformation matching rate, and comprises the following steps:
acquiring distribution and transformation voltage data of all feeder lines under a bus, and determining a time period T n The voltage measurement time sequence data in the power distribution transformer are normalized, the voltage change rate of each time sequence point of the power distribution transformer is calculated, and the ith power distribution transformer voltage change rate sequence is as follows:
in the method, in the process of the invention,represents the ith distribution transformer T j The voltage change rate at each moment; v i,j Represents the ith distribution transformer T j Voltage at each moment; />A reference voltage representing an ith power distribution transformer;
defining a voltage change rate threshold eta of the absolute value of the ith distribution voltage change rate sequence by using a box diagram i ，
The calculation formula is as follows:
η i ＝p i,3 +λ(p i,3 -p i,1 )
wherein p is i，3 、p i,1 Respectively represent the ith distribution voltage change rate sequence y i A quarter-three-digit number, a quarter-one-digit number of the absolute value; λ represents a parameter;
generating an outlt set of the distribution voltage change rate outlier set according to the voltage change rate threshold value out-of-limit method; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j A voltage higher than the absolute value of the i-th distribution voltage change rate sequenceRate of change threshold η i The ith power distribution transformer is the T j The moments are forward outliers; if the ith distribution transformer is the T j Rate of change y of voltage at each instant i,j Below-eta i The ith power distribution transformer is the T j The moments are negative outliers; putting both the positive outlier and the negative outlier into an outlier set OutDtSET with the change rate of the distribution voltage;
carrying out association matching on the distribution voltage change rate outlier set OutDtSET and the bus voltage regulation outlier set OutEventSET by utilizing a principle of consistency of time and outlier directions, and calculating distribution transformer matching rate;
the calculation formula of the matching rate of the distribution transformer is as follows:
wherein R is i Representing the matching rate of the ith distribution transformer; c (C) i Representing the number of bus voltage regulation outliers which belong to the matching of the outlier of the ith distribution transformer; d (D) i And (5) indicating the total number of the busbar voltage regulation outliers to which the ith distribution transformer belongs.
6. The distribution network line transformation relation diagnosis method based on voltage regulation event analysis according to claim 1, wherein the distribution transformation matching rate threshold of the feeder line is calculated by utilizing a trusted distribution transformation set A, a suspected abnormal distribution transformation set B is further diagnosed, and a distribution transformation set C with a suspected line transformation relation abnormality is screened out, and the method comprises the following steps:
Aiming at all the distribution transformers under the feeder kx of the ith bus, screening out m distribution transformers with voltage correlation coefficients greater than or equal to a correlation coefficient threshold under the feeder kx by utilizing a trusted distribution transformer set A, and taking the average matching rate of the m distribution transformers as a distribution transformer matching rate threshold of the feeder kx;
the calculation formula of the distribution transformer matching rate threshold value of the feeder kx is as follows:
wherein R represents a distribution transformer matching rate threshold value of the feeder kx, and is also an average matching rate of m distribution transformers with voltage correlation coefficients under the feeder kx being more than or equal to the correlation coefficient threshold value; r is R i Representing the ith matching rate of the distribution transformer;
further diagnosing a suspected abnormal distribution transformer set B, and if a certain distribution transformer under the jurisdiction of the feeder kx is in the set B and the distribution transformer matching rate is smaller than a distribution transformer matching rate threshold value R of the feeder kx, dividing the distribution transformer into a distribution transformer set C with an abnormal suspected line transformer relation.
7. The distribution network line transformation relation diagnosis method based on voltage regulation event analysis according to claim 1, wherein the distribution transformer set C with the suspected line transformation relation abnormality is used for recommending the most probable feeder line to which the suspected line transformation relation abnormality distribution transformer belongs by using a KNN algorithm, and finally the suspected line transformation relation abnormality distribution transformer and the feeder line to which the distribution transformer belongs are determined, and the method comprises the following steps:
Aiming at a distribution transformer set C with abnormal suspected line transformer relation, screening a nearby feeder set S of all non-belonging feeders within the ith distribution transformer l kilometers according to longitude and latitude coordinates of a transformer substation in a GIS system i ；
Collecting S of the nearby feeders of all non-belonging feeders within l kilometers of the ith distribution transformer i All the distribution and transformation voltage change rate, voltage correlation coefficient and distribution and transformation matching rate data are used as a sample set of a KNN algorithm;
and carrying out classification prediction on the sample set by using a KNN algorithm, screening a feeder line to which the ith distribution transformer most probably belongs, and changing the ith distribution transformer into a line transformation relationship abnormal distribution transformer most probably belonging to the feeder line.
8. A distribution network cable change relation diagnostic system based on voltage regulation event analysis, comprising:
the distribution transformer dividing module is used for acquiring voltage measurement data of the bus and the distribution transformer and dividing the distribution transformer into a trusted distribution transformer set A and a suspected abnormal distribution transformer set B by utilizing a traditional correlation coefficient linear transformation relation diagnosis method;
the voltage regulating event set generation module is used for generating a voltage regulating event set EventSET of a low-voltage side bus in the transformer substation;
the bus voltage regulation outlier set generating module is used for acquiring bus voltage measurement data, calculating a bus voltage change rate, generating a bus voltage change rate outlier set, and acquiring a bus voltage regulation outlier set OutEventSET matched with the voltage regulation event set EventSET;
The distribution transformer matching rate calculation module is used for acquiring distribution transformer voltage measurement data of all feeder lines under the bus, generating a distribution transformer voltage change rate outlier set OutDtSET, matching the distribution transformer voltage change rate outlier set OutDtSET with a bus voltage regulation outlier set OutEventSET, and calculating a distribution transformer matching rate;
the suspected abnormal distribution transformer set generating module is used for calculating a distribution transformer matching rate threshold of the feeder line by utilizing the trusted distribution transformer set A, further diagnosing the suspected abnormal distribution transformer set B and screening a distribution transformer set C with an abnormal suspected line transformer relation;
the abnormal distribution transformer determining module is used for recommending a feeder line to which the suspected line transformation relation abnormal distribution transformer most possibly belongs by utilizing a KNN algorithm aiming at the distribution transformer set C with the suspected line transformation relation abnormal, and finally determining the feeder line to which the suspected line transformation relation abnormal distribution transformer and the distribution transformer belong.
9. A power distribution network cable change relation diagnosis device based on voltage regulation event analysis, characterized by comprising a processor and a memory, wherein the memory stores computer instructions, the processor is configured to execute the computer instructions stored in the memory, and when the computer instructions are executed by the processor, the electronic device implements the steps of the power distribution network cable change relation diagnosis method based on voltage regulation event analysis according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the distribution network cable change relation diagnosis method based on voltage regulation event analysis according to any one of claims 1 to 7.
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