CN114265000B - Error correction method and system for electric energy meter based on error wiring vector diagram - Google Patents
Error correction method and system for electric energy meter based on error wiring vector diagram Download PDFInfo
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Abstract
The invention belongs to the field of power equipment, and particularly relates to an error correction method, system and device for an electric energy meter based on a misconnection vector diagram. The error correction method of the electric energy meter comprises the following steps: s1: vector information of each phase of voltage and current in the current wiring state is obtained; and further calculates the measurement result of the output power. S2: acquiring a voltage vector angle type u and a current vector angle type i; a training dataset is constructed. S3: and acquiring load information L, load power factor information and load class number L provided on site. S4: determining a fault wiring vector diagram corresponding to the current wiring state by adopting independent forest and binary search methods; s5: then determining the current wrong wiring type according to the load information provided by the site; s6: and correcting the power metering result output by the electric energy meter according to the type of the wrong wiring. The method aims to solve the problems that the error wiring type of the existing three-phase electric energy meter is difficult to determine, and the error of the metering result cannot be corrected accurately and timely.
Description
Technical Field
The invention belongs to the field of power equipment, and particularly relates to an error correction method, system and device for an electric energy meter based on a misconnection vector diagram.
Background
The accuracy requirements of the three-phase intelligent electric energy meter are very high, because the metering accuracy of the intelligent electric energy meter is related to the benefits of both power consumption settlement parties. Generally, the accuracy of the electric energy meter is mainly affected by the accuracy level of the electric energy meter and the wiring mode. The higher the accuracy level of the meter, the smaller the power metering error. The current common electric energy meter has various accuracy levels, and can fully meet the requirements of various industries. However, if the electric energy meter is in wrong connection, the electric energy metering error is large. When the intelligent ammeter is installed, due to the fact that the wiring process is complex, the problem of wrong wiring is easy to occur, the accuracy of electric energy metering is seriously affected, the electric quantity is wrong or even cannot be metered, even instruments and equipment are damaged, and certain economic loss is caused.
In the practical application process, some wrong wiring modes do not necessarily lead to equipment damage, but can necessarily lead to errors in measurement results. Therefore, even if the fault wiring state of the fault wiring electric energy meter cannot be processed timely and effectively, the influence caused by the fault wiring mode can be reduced as long as the fault wiring type can be found timely and then the metering result is corrected according to different wiring types. However, in the existing three-phase intelligent electric energy meter, the possible error types of the wiring mode are very many, so that the difficulty is brought to the manual determination of the error wiring type of the electric energy meter, and meanwhile, the metering error of the electric energy meter caused by the error wiring is difficult to effectively correct.
Disclosure of Invention
The invention provides an error correction method, system and device for an electric energy meter based on a misconnection vector diagram, which are used for solving the problems that the error connection type of the existing three-phase electric energy meter is difficult to determine and the error of a metering result cannot be corrected accurately and timely.
The invention is realized by adopting the following technical scheme:
an error correction method of an electric energy meter based on a misconnection vector diagram comprises the following steps:
s1: vector information of each phase of voltage and current in the current wiring state is obtained; and further calculating the metering result of the output power in the current wiring state.
S2: acquiring a series of state data in a history metering state, the state data comprising: voltage vector angle type u and current vector angle type i; the state data is used as sample data to form a training data set.
S3: load information L, load power factor information, load class number L, power integration ascending data set T and normal load data set D provided on site are obtained.
S4: the method for determining the error wiring vector diagram corresponding to the current wiring state by adopting independent forest and binary search comprises the following steps:
s41: an anomaly detection tree is initialized, and then gamma sample data are randomly selected from the training data set to be placed into a root node of the anomaly detection tree.
S42: and randomly designating a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the current node space into 2 subspaces.
S43: and acquiring state data in the current metering state, inputting the state data into an anomaly detection tree, adding the state data into a left node of the current node if the state data is smaller than a cutting point p, and otherwise adding the state data into a right node of the current node.
S44: judging whether more than one data quantity is met in the child nodes meeting the conditions in the anomaly detection tree and the limit height is not reached or not:
(1) And if so, traversing the anomaly detection tree by using the load information, and calculating the height and the height average value h of each tree.
(2) Otherwise, the process returns to step S42.
S45: the vector diagram category v is calculated using the following formula:
v＝4u+i-4。
and calculating a combination type e of the wiring modes of the vector diagram according to the type v of the vector diagram:
e＝6v+α-6
in the above formula, α is a cycle control parameter, and α=1 under the initialization condition.
S46: let l=1, r=l under initialization conditions, the value of the intermediate point m is calculated by the following formula:
m＝int(l+r/2)；
in the above formula, l represents load information; r represents a variable for calculating the value of m.
S47: recording pulse frequency f in current state to let T e,m =f; te, m is one data in the power integration ascending data set T, and the values of l and r are updated according to the following strategy until l is satisfied>r：
(1) When T is e,m <L, then cause: l=m+1;
(2) If T e,m >L, then cause: r=m-1.
S48: the loop control parameter α is added 1 to let α=α+1, and then the process of steps S45 to S47 is loop-executed until α >6 is satisfied.
S49: and determining the miswiring vector diagram of the current miswiring state according to the output of the anomaly detection tree.
S5: obtaining a fault wiring vector diagram according to the above steps, and determining a plurality of possible suspected fault wiring modes; then according to the load power factor, the power integration ascending data set T and the normal load data set D provided on site; and determining the miswiring mode as one of suspected miswiring modes, namely the current miswiring type.
S6: and determining the association relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by using the association relation to obtain the correct metering result.
The method provided by the invention can be simultaneously applied to the three-phase three-wire connection type electric energy meter and the three-phase four-wire connection type electric energy meter.
For a three-phase three-wire electric energy meter, the voltages of the three-phase three-wire electric energy meter have 2 vector relations, which are respectively: a voltage positive phase sequence and a voltage negative phase sequence; the currents have 4 vector relations, respectively: the current positive phase sequence, the current negative phase sequence, the current polarity is normal, and the current of one phase is opposite; the wiring vector diagram combined by the voltage and the electric quantity is 8.
For a three-phase four-wire electric energy meter, the voltage wiring types comprise 24 types, and the current phase sequence types comprise 6 types; the polarity class of the current is included in 8; the combined wiring vector diagram is 1152 kinds.
In the invention, for any wiring vector diagram; the corresponding wiring types are not more than 6, and the error wiring type corresponding to the wiring vector diagram can be manually judged according to the site load condition.
The invention further comprises an electric energy meter error correction system based on the error wiring vector diagram, and the electric energy meter error correction system is used for correcting the metering result of the electric energy meter and outputting a correct metering result by adopting the electric energy meter error correction method based on the error wiring vector diagram. The error correction system of the electric energy meter comprises: the system comprises an electric quantity information acquisition module, a wiring detection module, a power correction module, a manual verification module and an electric energy output module.
The electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter.
The wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information.
The power correction module is used for calculating a metering result P of the output power in the electric energy meter according to the acquired voltage vector information and current vector information 0 The method comprises the steps of carrying out a first treatment on the surface of the Then determining 6 suspected wrong wiring modes according to the wrong wiring vector diagram; finally according to the association relation beta between the metering result and the normal result of each wrong wiring mode i Respectively calculating the correction result P of the output power under the conditions of 6 suspected wrong wiring modes i ：P i ＝β i ·P 0 I=1, 2,3,4,5, 6; wherein beta is i Is a series of expert experience values.
The manual verification module is a manual interaction module, and a worker manually checks the load condition of the current power utilization node, and inquires a corresponding load power factor, power integration ascending data set T and a normal load data set D; and then manually determining which wrong wiring mode corresponds to the wrong wiring vector diagram output by the wiring detection module according to the load condition, and inputting the confirmation result of the wrong wiring mode into the manual verification module.
The power integration unit is used for calculating an electric energy result Ei measured by the electric energy meter in a power utilization period according to the correction result Pi output by the function correction module; the electric energy meter output module inquires the wrong wiring mode determined in the manual verification module, and takes an electric energy metering result corresponding to the wrong wiring mode as the output of the electric energy output module.
As a further improvement of the invention, the electric energy output module outputs six correction results corresponding to the current misconnection vector diagram before obtaining the confirmation result of the misconnection mode sent by the manual verification module. After the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
As a further improvement of the invention, each functional module of the error correction system of the electric energy meter is arranged on the electric energy meter. The electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and the correction process of the metering result is finished locally on the electric energy meter. The electric energy meter error correction system also comprises a communication module, and the communication module sends the corrected electric energy measurement determined by the electric energy output module to a settlement center of the electric power management system.
As a further improvement of the invention, the error correction system of the electric energy meter also comprises a communication module, and the communication module and the electric quantity information acquisition module are positioned on the electric energy meter. The wiring detection module, the power correction module, the manual verification module and the electric energy output module are positioned at a settlement center of the remote electric power management system. The communication module sends the data acquired locally by the electric quantity information acquisition module to the far end, and the correction process of the metering result of the electric energy meter is completed at the far end.
The invention also comprises an electric energy meter error correction device based on the error wiring vector diagram, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the electric energy meter error correction method based on the error wiring vector diagram when executing the program.
The technical scheme provided by the invention has the following beneficial effects:
1. the technical scheme of the invention can fully apply the existing electric energy data, and judges the miswiring vector diagram of the electric energy meter in the current wiring state by information such as voltage, current angle and the like, so that whether the electric energy meter has miswiring faults can be judged; the wiring faults of the electric energy meter can be accurately classified, the range of the wrong wiring types of the electric energy meter is greatly reduced, and the actual wrong wiring types are locked by manually checking load information. And finally correcting the electric quantity metering result with errors according to the association relation between the correct wiring types of the wrong wiring types. The method can realize the rapid real-time detection of the wiring faults of the electric energy meter, and correct the wrong metering information through an algorithm before the wrong wiring faults are eliminated; and the influence of the fault wiring fault on the two power consumption settlement parties is reduced.
2. The invention uses independent forest technology to detect abnormality; the core idea of independent forest anomaly detection is to divide all data points until subdivision is impossible. Since the data of the outlier and other data are not in the same form, fewer steps are required to divide the outlier from the other data. Based on this, outliers are distinguished by the depth of the data in the independent forest and setting a threshold. In addition, a binary search method is also applied to search data. The independent forest technology and binary search are synthesized, so that the data processing speed and accuracy are improved; the accuracy and the reliability of fault diagnosis are improved. By the precisely positioned type of the wrong wiring, a foundation is laid for the power correction module to correct the output power value.
Drawings
Fig. 1 is a flow chart of steps of an error correction method for an electric energy meter based on a misconnection vector diagram in embodiment 1 of the present invention.
Fig. 2 is a schematic block diagram of an error correction system for an electric energy meter based on a misconnection vector diagram in embodiment 2 of the present invention.
Fig. 3 is a schematic diagram of a power output module in embodiment 2 of the present invention.
Fig. 4 is a schematic diagram of a framework of an error correction system for an electric energy meter using a local deployment in accordance with embodiment 2 of the present invention.
Fig. 5 is a schematic diagram of a remote electric energy meter error correction system according to embodiment 2 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The error correction method for the electric energy meter based on the misconnection vector diagram, as shown in fig. 1, comprises the following steps:
s1: vector information of each phase of voltage and current in the current wiring state is obtained; and further calculating the metering result of the output power in the current wiring state.
S2: acquiring a series of state data in a history metering state, the state data comprising: voltage vector angle type u and current vector angle type i; the state data is used as sample data to form a training data set.
S3: acquiring load information L, load power factor information, load class number L, power integration ascending data set T and normal load data set D provided on site;
s4: the method for determining the error wiring vector diagram corresponding to the current wiring state by adopting independent forest and binary search comprises the following steps:
s41: an anomaly detection tree is initialized, and then gamma sample data are randomly selected from the training data set to be placed into a root node of the anomaly detection tree.
S42: and randomly designating a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the current node space into 2 subspaces.
S43: and acquiring state data in the current metering state, inputting the state data into an anomaly detection tree, adding the state data into a left node of the current node if the state data is smaller than a cutting point p, and otherwise adding the state data into a right node of the current node.
S44: judging whether more than one data quantity is met in the child nodes meeting the conditions in the anomaly detection tree and the limit height is not reached or not:
(1) If yes, traversing the abnormal detection tree by using the load information, and calculating the height and the height average value h of each tree;
(2) Otherwise, the process returns to step S42.
S45: the vector diagram category v is calculated using the following formula:
v＝4u+i-4；
and calculating a combination type e of the wiring modes of the vector diagram according to the type v of the vector diagram:
e＝6v+α-6
in the above formula, α is a cycle control parameter, and α=1 under the initialization condition.
S46: let l=1, r=l under initialization conditions, the value of the intermediate point m is calculated by the following formula:
m＝int(l+r/2)；
in the above formula, l represents load information; r represents a variable for calculating the value of m.
S47: recording pulse frequency f in current state to let T e,m =f; te, m is one data in the power integration ascending data set T, and the values of l and r are updated according to the following strategy until l is satisfied>r：
(1) When T is e,m <L, then cause: l=m+1;
(2) If T e,m >L, then cause: r=m-1.
S48: the loop control parameter α is added 1 to let α=α+1, and then the process of steps S45 to S47 is loop-executed until α >6 is satisfied.
S49: and determining the miswiring vector diagram of the current miswiring state according to the output of the anomaly detection tree.
S5: obtaining a fault wiring vector diagram according to the above steps, and determining a plurality of possible suspected fault wiring modes; then according to the load power factor, the power integration ascending data set T and the normal load data set D provided on site; determining the wrong wiring mode as one of suspected wrong wiring modes, namely the current wrong wiring type;
s6: and determining the association relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by using the association relation to obtain the correct metering result.
The method provided by the invention can be simultaneously applied to the three-phase three-wire connection type electric energy meter and the three-phase four-wire connection type electric energy meter.
Specifically, the following describes in detail the process of detecting a wrong wiring and correcting an error in the state of wiring modes of two electric energy meters:
three-phase three-wire electric energy meter
For a three-phase three-wire electric energy meter, under the condition of not considering the phase relation of current and voltage, the voltage has 2 vector relations, namely: voltage positive phase sequence and voltage negative phase sequence. The currents have 4 vector relations, respectively: the current positive phase sequence, the current negative phase sequence, the current polarity is normal, and the current of one phase is opposite. Thus, the different vector relations of the voltage and the current can be combined to form 2×4=8 vector diagrams as shown in the table.
Table: vector diagram type of three-phase three-wire electric energy meter
Determining a wiring vector diagram of the current wiring state through the following process:
step 1: initial data, voltage vector angle type u epsilon {1,2}, current vector angle type i epsilon {1,2,3,4}, load information L provided on site, load power factor information, power integration ascending data sets T of L load categories and normal load data set D are obtained.
Step 2: the wiring detection is carried out, and the method comprises the following steps:
(2.1) initializing an abnormality detection tree, and randomly selecting gamma sample points from training data to be put into a root node of the tree;
(2.2) randomly assigning a dimension, randomly generating a cut point p in the current node data. Generating a hyperplane by the cutting point, and dividing the current node space into 2 subspaces;
(2.3) if the data is less than p, adding the data to the left node of the current node; otherwise, the data is added into the right node of the current node;
(2.4) when the conditional child node exceeds one data and does not reach the defined height, turning to (2.2) and (2.3);
(2.5) traversing the anomaly detection trees by the load information l, calculating the height in each tree and averaging h;
(2.6) if h < a preset threshold value theta or the load power factor information is abnormal, ending the algorithm, and correcting the output power; otherwise, go to (2.7);
(2.7) calculating the vector diagram category v=4u+i-4, and initializing alpha=1;
(2.8) calculating a vector diagram wiring mode combination type e=6v+α -6, initializing l=1, and r=l;
(2.9) calculating the intermediate point m=int (l+t/2). If T e,m <L, then l=m+1; if T e,m >L, r=m-1; otherwise, ending the binary search and double-layer circulation;
(2.10) when the condition l is less than or equal to r, turning to (2.9);
(2.11) updating the parameter α=α+1;
(2.12) when the condition alpha is less than or equal to 6, switching to (2.7) to (2.11);
(2.13) recording pulse frequency f=t e,m ；
(2.14) combining load information l and T e,m A vector diagram of the current wiring state is determined and then a determination is made as to whether the power needs correction.
After the wiring vector diagram is determined, the possible wiring modes of each vector diagram type are at most 6. And then the types of wiring modes can be further reduced according to the load power factors given by the sites of the power utilization nodes. And determining the type of the wrong wiring of the current wiring state. In the three-phase three-wire electric energy meter, the number of the misconnection vector diagrams is 8, and the number of the wiring types is 48, but after the misconnection vector diagram of the current wiring state is determined, the range of the misconnection types is further reduced to 6, and at the moment, the specific misconnection type can be reached only by manually checking the load information of the electric energy meter site.
An error change relation exists between the metering result of each error wiring mode and the metering result of the correct wiring mode, and an association relation between the error wiring mode and the metering result can be fitted according to large-scale data statistics. In this embodiment, the association relationship between the measurement values and the correct values of different miswiring states is determined by using expert experience values, and the correct correction value corresponding to the wrong measurement value is determined by using the relationship.
(II) three-phase four-wire electric energy meter
The three-phase four-wire electric energy meter is provided with a one-dimensional voltage value and a one-dimensional current value on the basis of the three-phase three-wire electric energy meter. Therefore, the wiring mode and the vector diagram of the electric energy meter of the wiring method are greatly increased. In the three-phase four-wire electric energy meter, the voltage wiring types comprise 24 types, and the current phase sequence types comprise 6 types; the polarity class of the current is included in 8; the combined wiring vector diagram is 1152 kinds. Specific wire class combinations are shown in table 1 below:
table 1: vector diagram type of three-phase four-wire electric energy meter
Continuing to determine a wiring vector diagram of the current wiring state by:
step 1: initial data, voltage vector angle type u epsilon {1,2,3}, current vector angle type i epsilon {1,2,3,4,5}, load information L provided on site, load power factor information, power integration ascending data sets T of L load categories and normal load data set D are obtained.
Step 2: the wiring detection is carried out, and the method comprises the following steps:
(2.1) initializing an abnormality detection tree, and randomly selecting gamma sample points from training data to be put into a root node of the tree;
(2.2) randomly assigning a dimension, randomly generating a cut point p in the current node data. Generating a hyperplane by the cutting point, and dividing the current node space into 2 subspaces;
(2.3) if the data is less than p, adding the data to the left node of the current node; otherwise, the data is added into the right node of the current node;
(2.4) when the conditional child node exceeds one data and does not reach the defined height, turning to (2.2) and (2.3);
(2.5) traversing the anomaly detection trees by the load information l, calculating the height in each tree and averaging h;
(2.6) if h < a preset threshold value theta or the load power factor information is abnormal, ending the algorithm, and correcting the output power; otherwise, go to (2.7);
(2.7) calculating the vector diagram category v=4u+i-4, and initializing alpha=1;
(2.8) calculating a vector diagram wiring mode combination type e=6v+α -6, initializing l=1, and r=l;
(2.9) calculating the intermediate point m=int (l+r/2). If T e,m <L, then l=m+1; if T e,m >L, r=m-1; otherwise, ending the binary search and double-layer circulation;
(2.10) when the condition l is less than or equal to r, turning to (2.9);
(2.11) updating the parameter α=α+1;
(2.12) when the condition alpha is less than or equal to 6, switching to (2.7) to (2.11);
(2.13) recording pulse frequency f=t e,m ；
(2.14) combining load information l and T e,m A vector diagram of the current wiring state is determined and then a determination is made as to whether the power needs correction.
Although the wiring types of the three-phase four-wire electric energy meter are greatly increased relative to the three-phase electric energy meter, after the miswiring vector diagram is determined, the possible miswiring types are still locked in no more than 6 types corresponding to the miswiring vector diagram. The specific wrong wiring type can be determined only by manually checking the load information of the power utilization node by a technician. After the wrong wiring type is determined, the correction process of the metering error of the electric energy meter is the same as that of the three-phase and three-phase electric energy meter, and expert experience values of association relations among results of different wiring modes are adopted for proportional adjustment, so that error correction is realized.
In the embodiment, an independent forest technology is applied to perform anomaly detection; the core idea of independent forest anomaly detection is to divide all data points until subdivision is impossible. Since the data of the outlier and other data are not in the same form, fewer steps are required to divide the outlier from the other data. Based on this, outliers are distinguished by the depth of the data in the independent forest and setting a threshold. In addition, a binary search method is also applied to search data. The independent forest technology and binary search are synthesized, so that the data processing speed and accuracy are improved; the accuracy and the reliability of fault diagnosis are improved. By the precisely positioned type of the wrong wiring, a foundation is laid for the power correction module to correct the output power value.
The embodiment fully uses the existing electric energy data, judges the miswiring vector diagram of the electric energy meter in the current wiring state through information such as voltage, current angle and the like, and can judge whether the electric energy meter has miswiring faults or not; the wiring faults of the electric energy meter can be accurately classified, the range of the wrong wiring types of the electric energy meter is greatly reduced, and the actual wrong wiring types are locked by manually checking load information. And finally correcting the electric quantity metering result with errors according to the association relation between the correct wiring types of the wrong wiring types. The method can realize the rapid real-time detection of the wiring faults of the electric energy meter, and correct the wrong metering information through an algorithm before the wrong wiring faults are eliminated; and the influence of the fault wiring fault on the two power consumption settlement parties is reduced.
Example 2
The embodiment provides an electric energy meter error correction system based on a wrong wiring vector diagram, which is used for correcting a metering result of an electric energy meter and outputting a correct metering result by adopting the electric energy meter error correction method based on the wrong wiring vector diagram as in the embodiment 1. As shown in fig. 2, the error correction system of the electric energy meter includes: the system comprises an electric quantity information acquisition module, a wiring detection module, a power correction module, a manual verification module and an electric energy output module.
The electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter.
The wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information.
The power correction module is used for calculating a metering result P of the output power in the electric energy meter according to the acquired voltage vector information and current vector information 0 The method comprises the steps of carrying out a first treatment on the surface of the Then determining 6 suspected wrong wiring modes according to the wrong wiring vector diagram; finally according to the association relation beta between the metering result and the normal result of each wrong wiring mode i Respectively calculating the correction result P of the output power under the conditions of 6 suspected wrong wiring modes i ：P i ＝β i ·P 0 I=1, 2,3,4,5, 6; wherein beta is i Is a series of expert experience values.
The manual verification module is a manual interaction module, and a worker manually checks the load condition of the current power utilization node, and inquires a corresponding load power factor, power integration ascending data set T and a normal load data set D; and then manually determining which wrong wiring mode corresponds to the wrong wiring vector diagram output by the wiring detection module according to the load condition, and inputting the confirmation result of the wrong wiring mode into the manual verification module.
The power integration unit is used for calculating an electric energy result Ei measured by the electric energy meter in a power utilization period according to the correction result Pi output by the function correction module; the electric energy meter output module inquires the wrong wiring mode determined in the manual verification module, and takes an electric energy metering result corresponding to the wrong wiring mode as the output of the electric energy output module.
As shown in fig. 3, the electric energy output module outputs six correction results corresponding to the current misconnection vector diagram before obtaining the confirmation result of the misconnection mode sent by the manual verification module. After the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
In this embodiment, the error correction system of the electric energy meter based on the misconnection vector diagram may be applied by adopting two installation modes of local deployment and remote deployment, and the two deployment schemes of the system are as follows:
(1) Local deployment
As shown in fig. 4, each functional module of the error correction system of the electric energy meter is mounted on the electric energy meter. The electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and the correction process of the metering result is finished locally on the electric energy meter. The electric energy meter error correction system also comprises a communication module, and the communication module sends the corrected electric energy measurement determined by the electric energy output module to a settlement center of the electric power management system.
(2) Remote deployment
As shown in fig. 5, the error correction system of the electric energy meter further comprises a communication module, and the communication module and the electric quantity information acquisition module are located on the electric energy meter. The wiring detection module, the power correction module, the manual verification module and the electric energy output module are positioned at a settlement center of the remote electric power management system. The communication module sends the data acquired locally by the electric quantity information acquisition module to the far end, and the correction process of the metering result of the electric energy meter is completed at the far end.
Example 3
The embodiment provides an error correction device of an electric energy meter based on a misconnection vector diagram, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the error correction method of the electric energy meter based on the misconnection vector diagram when executing the program.
The computer device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack-mounted server, a blade server, a tower server, or a rack-mounted server (including a stand-alone server or a server cluster composed of a plurality of servers) that may execute a program, or the like. The computer device of the present embodiment includes at least, but is not limited to: a memory, a processor, and the like, which may be communicatively coupled to each other via a system bus.
In this embodiment, the memory (i.e., readable storage medium) includes flash memory, hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), random Access Memory (RAM), static Random Access Memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of a computer device, such as a hard disk or memory of the computer device. In other embodiments, the memory may also be an external storage device of a computer device, such as a plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card) or the like, which are provided on the computer device. Of course, the memory may also include both internal storage units of the computer device and external storage devices. In this embodiment, the memory is typically used to store an operating system and various application software installed on the computer device. In addition, the memory can be used to temporarily store various types of data that have been output or are to be output.
The processor may be a central processing unit (Central Processing Unit, CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor is typically used to control the overall operation of the computer device. In this embodiment, the processor is configured to run the program code or process the data stored in the memory, so as to implement a processing procedure of the error correction method of the electric energy meter based on the misconnection vector diagram in embodiment 1, thereby automatically detecting a misconnection type of the electric energy meter in a misconnection state, and automatically correcting an error of a metering result of the electric energy meter.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The error correction method of the electric energy meter based on the misconnection vector diagram is characterized by comprising the following steps of:
s1: vector information of each phase of voltage and current in the current wiring state is obtained; further calculating the measurement result of the output power in the current wiring state;
s2: acquiring a series of state data in a history metering state, the state data comprising: voltage vector angle type u and current vector angle type i; forming a training data set by taking the state data as sample data;
s3: acquiring load information L, load power factor information, load class number L, power integration ascending data set T and normal load data set D provided on site;
s4: the method for determining the error wiring vector diagram corresponding to the current wiring state by adopting independent forest and binary search comprises the following steps:
s41: initializing an anomaly detection tree, and then randomly selecting gamma sample data from the training data set to be placed into a root node of the anomaly detection tree;
s42: randomly designating a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the current node space into 2 subspaces;
s43: acquiring state data in a current metering state, inputting the state data into the abnormal detection tree, adding the state data into a left node of a current node if the state data is smaller than a cutting point p, otherwise adding the state data into a right node of the current node;
s44: judging whether more than one data quantity is met in the child nodes meeting the conditions in the anomaly detection tree and the limit height is not reached or not:
(1) If yes, traversing the abnormal detection tree by using the load information, and calculating the height and the height average value h of each tree;
(2) Otherwise, returning to the execution step S42;
s45: the vector diagram category v is calculated using the following formula:
v＝4u+i-4；
and calculating a combination type e of the wiring modes of the vector diagram according to the type v of the vector diagram:
e＝6v+α-6
in the above formula, α is a cycle control parameter, and α=1 under an initialization condition;
s46: let l=1, r=l under initialization conditions, the value of the intermediate point m is calculated by the following formula:
m＝int(l+r/2)；
in the above formula, l represents load information; r represents a variable for calculating the value of m;
s47: recording pulse frequency f in current state to let T e，m =f; te, m is one data in the power integration ascending data set T, and the values of l and r are updated according to the following strategy until l > r is satisfied:
(1) When T is e，m < L, then cause: l=m+1;
(2) If T e，m > L, then cause: r=m-1;
s48: adding 1 to the circulation control parameter alpha to enable alpha to be equal to alpha+1, and then circularly executing the processes of the steps S45-S47 until alpha >6 is met;
s49: determining a miswiring vector diagram of the current miswiring state according to the output of the anomaly detection tree;
s5: obtaining a fault wiring vector diagram according to the above steps, and determining a plurality of possible suspected fault wiring modes; then according to the load power factor, the power integration ascending data set T and the normal load data set D provided on site; determining the wrong wiring mode as one of suspected wrong wiring modes, namely the current wrong wiring type;
s6: and determining the association relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by utilizing the association relation to obtain the correct metering result.
2. The error correction method for the electric energy meter based on the misconnection vector diagram according to claim 1, wherein: the method can be simultaneously applied to the three-phase three-wire connection type electric energy meter and the three-phase four-wire connection type electric energy meter.
3. The error correction method for the electric energy meter based on the misconnection vector diagram according to claim 2, wherein: for a three-phase three-wire electric energy meter, the voltages have 2 vector relations, which are respectively: a voltage positive phase sequence and a voltage negative phase sequence; the currents have 4 vector relations, respectively: the current positive phase sequence, the current negative phase sequence, the current polarity is normal, and the current of one phase is opposite; the wiring vector diagram combined by the voltage and the electric quantity is 8.
4. The error correction method for the electric energy meter based on the misconnection vector diagram according to claim 3, wherein: for a three-phase four-wire electric energy meter, the voltage wiring types comprise 24 types, and the current phase sequence types comprise 6 types; the polarity class of the current is included in 8; the combined wiring vector diagram is 1152 kinds.
5. The error correction method for the electric energy meter based on the misconnection vector diagram according to claim 4, wherein: for any wiring vector diagram; the corresponding wiring types are not more than 6, and the error wiring type corresponding to the wiring vector diagram can be manually judged according to the site load condition.
6. An electric energy meter error correction system based on a misconnection vector diagram is characterized in that: the electric energy meter error correction system is used for correcting the metering result of the electric energy meter and outputting a correct metering result by adopting the electric energy meter error correction method based on the error wiring vector diagram according to any one of claims 1-5; the electric energy meter error correction system comprises:
the electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter;
the wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information;
the power correction module is used for calculating the metering result P of the output power in the electric energy meter according to the acquired voltage vector information and current vector information 0 The method comprises the steps of carrying out a first treatment on the surface of the Then determining 6 suspected wrong wiring modes according to the wrong wiring vector diagram; finally according to the association relation beta between the metering result and the normal result of each wrong wiring mode i Respectively calculating the correction result P of the output power under the conditions of 6 suspected wrong wiring modes i ：P i ＝β i ·P 0 I=1, 2,3,4,5, 6; wherein beta is i Is a series of expert experience values;
the manual verification module is a manual interaction module, and a worker manually checks the load condition of the current power utilization node and inquires a corresponding load power factor, a power integration ascending data set T and a normal load data set D; then manually determining which error wiring mode corresponds to the error wiring vector diagram output by the wiring detection module according to the load condition, and sending a confirmation result of the error wiring mode to a manual verification module;
the electric energy output module comprises a power integration unit which is used for calculating an electric energy result Ei measured by the electric energy meter in an electricity utilization period according to the correction result Pi output by the function correction module; the electric energy meter output module inquires the error wiring mode confirmed in the manual verification module, and takes an electric energy metering result corresponding to the error wiring mode as the output of the electric energy output module.
7. The error correction system for an electrical energy meter based on a misconnection vector diagram of claim 6, wherein: the electric energy output module outputs six correction results corresponding to the current wrong wiring vector diagram before acquiring the confirmation result of the wrong wiring mode sent by the manual verification module; after the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
8. The error correction system for an electrical energy meter based on a misconnection vector diagram of claim 6, wherein: each functional module of the error correction system of the electric energy meter is arranged on the electric energy meter; the electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and the correction process of the metering result is finished locally on the electric energy meter; the electric energy meter error correction system further comprises a communication module, and the communication module sends the corrected electric energy measurement determined by the electric energy output module to a settlement center of the electric power management system.
9. The error correction system for an electrical energy meter based on a misconnection vector diagram of claim 6, wherein: the electric energy meter error correction system also comprises a communication module, wherein the communication module and the electric quantity information acquisition module are positioned on the electric energy meter; the wiring detection module, the power correction module, the manual verification module and the electric energy output module are positioned at a settlement center of the electric power management system at the far end; and the communication module sends the data acquired locally by the electric quantity information acquisition module to a far end, and the correction process of the metering result of the electric energy meter is completed at the far end.
10. An electric energy meter error correction device based on a wrong wiring vector diagram is characterized in that: the electric energy meter error correction device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the electric energy meter error correction method based on the error wiring vector diagram as claimed in any one of claims 1-5.
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