CN115800527A - Local micro-current-based distribution room topology identification method - Google Patents
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Abstract
The invention provides a local micro-current-based distribution room topology identification method, which comprises the steps of respectively installing an advanced measuring terminal, a low-voltage sensing device and a broadband carrier module at each level of a distribution room; when the master station issues a topology identification instruction, the advanced measurement terminal configures a carrier communication module of the whole network to send a micro-current characteristic signal; each node low-voltage sensing device sends a micro-current characteristic signal to the upper stage and identifies the micro-current characteristic signal received by the node; after the micro-current characteristic signal is sent, the advanced measurement terminal reads the identification state of the low-voltage sensing device, and reads the topological information of the low-voltage sensing device of each node after judging that the identification is finished; the advanced measurement terminal collects topology information of the low-voltage sensing devices of all nodes and micro-current characteristic signals of the whole transformer area, extracts and converts the characteristic identification signals through unified topology identification, and obtains topological circuit information of the transformer area; and the master station acquires the topological line information of the distribution area and draws and displays the topological line information at the master station. The invention can improve the accuracy of the platform area topology identification.
Description
Technical Field
The invention relates to the technical field of district topology identification, in particular to a district topology identification method based on local micro-current.
Background
In the prior art, identification of the topology information of the distribution room is usually realized by collecting topology identification records reported by each device by using a master station of a power utilization information acquisition system, wherein the records comprise identification time; and then, according to the switching time of each device set and issued by the main station, namely the characteristic current sending time, forming a topological information summary data table corresponding to the sending device and the identification device, continuously comparing the planned switching time of the device with the identification time in the topological identification record according to the device characteristic current sending plan of the main station, continuously increasing the content of the topological information summary data table, after the work of establishing the topological information summary data table is completed, further making clear the hierarchy of each device in the table, confirming the direct superior device of each hierarchy of devices according to the level sequence from top to bottom, and finally drawing a platform area topological structure diagram according to the characteristic signal intensity result. The existing method for identifying the topology of the distribution room has the following problems: the outgoing line of the transformer is lack of a topological node at the outgoing line branch of the transformer in the transformer area, and the main reason is that the node is connected with the power by an outgoing line copper plate of the transformer, and common topological monitoring equipment cannot be installed at the node to get the power; the existing scheme lacks the calculation capability of the edge of the terminal, namely only micro-current identification is carried out at the terminal, topology identification carding cannot be carried out, the carrying capability of a master station algorithm is increased, and topology carding support is lacked.
Disclosure of Invention
In view of the above, the present invention provides a local micro-current based method for identifying a topology of a distribution room, which overcomes or at least partially solves the above problems of the prior art.
In order to achieve the above object, the present invention provides a method for identifying a platform area topology based on local micro-current, which comprises the following steps:
s101, respectively installing a high-grade measuring terminal, a low-voltage sensing device and a broadband carrier module with micro-current characteristic signals at each stage of a distribution room;
s102, when the master station issues a topology identification instruction to the advanced measurement terminal, the advanced measurement terminal configures a carrier communication module of the whole network to send a micro-current characteristic signal;
s103, the low-voltage sensing devices of all the nodes send micro-current characteristic signals to the upper level, and the micro-current characteristic signals received by the nodes are identified;
s104, after the micro-current characteristic signals of the whole area are sent, the advanced measurement terminal reads the identification state of the low-voltage sensing device, and after the advanced measurement terminal judges that the identification is finished, the advanced measurement terminal reads the topological information of the low-voltage sensing device of each node;
s105, the advanced measurement terminal collects topology information of the low-voltage sensing devices of the nodes and micro-current characteristic signals of the whole transformer area, and extracts and converts the characteristic identification signals through unified topology identification to obtain topological circuit information of the transformer area;
and S106, the master station acquires the topological line information of the distribution room and draws and displays the topological line information at the master station.
Further, step S101 specifically includes the following steps:
s201, installing an advanced measurement terminal at a first stage of a transformer area, leading out a mutual inductor at the side of a transformer through a branch monitoring module of the advanced measurement terminal, and clamping the mutual inductor at a branch outlet of the transformer to form a first-stage topology of the transformer area;
s202, installing a low-voltage sensing device on the 2 nd-N stage incoming line or outgoing line of the transformer area;
s203, installing a low-voltage sensing device in front of the (N + 1) th-level meter box, and replacing the meter module at the meter box to be a carrier communication module.
Further, before step S102, the method further includes the steps of: a load on-off module is additionally arranged between the zero line and the live line of the electric equipment, and the load on-off mode is controlled by the load on-off module, so that micro-current with a specific rule is generated on the power line.
Furthermore, before the advanced measurement terminal is configured with a carrier communication module of the whole network to send the micro-current characteristic signal, the advanced measurement terminal executes timing to the STA node of the whole station area through the CCO equipment, wherein the STA node can identify the micro-current characteristic signal in the whole network.
Furthermore, the high-level measuring terminal and the low-voltage sensing device perform gain processing on the micro-current characteristic signal identification result and then store the result.
Further, the advanced measurement terminal extracts and converts the feature identification signal through unified topology identification, and specifically comprises the following steps:
s301, unifying the intensities of all the micro-current characteristic signals in a dimensional range;
s302, comprehensively considering the strength and the identification number of the identified micro-current characteristic signals, and carrying out transverse and longitudinal comparison on the identified micro-current characteristic signals to judge the identification accuracy;
and S303, when the micro-current characteristic signal is accurately identified, identifying the topological relation of the transformer area according to the signal attribution relation and the signal information to obtain topological line information of the transformer area.
Further, the transverse comparison of the micro-current identification characteristic signals is specifically carried out with the micro-current characteristic signals identified by the same level identification equipment, and the longitudinal comparison of the micro-current identification characteristic signals is specifically carried out with the micro-current characteristic signals identified by the upper level identification equipment and the lower level identification equipment.
Further, when the identified micro-current characteristic signals are compared transversely or longitudinally, calculating deviation values of the two micro-current characteristic signals according to the intensity and the identification number of the two micro-current characteristic signals, taking the deviation values as the distance between the two micro-current characteristic signals, calculating the outlier index of the identified micro-current characteristic signals through an LOF algorithm, comparing the outlier index of the identified micro-current characteristic signals with a preset index threshold value, and judging that the identification is accurate when the outlier index is smaller than the preset index threshold value; and when the outlier index is larger than a preset index threshold value, judging that the identification is inaccurate.
Compared with the prior art, the invention has the beneficial effects that:
aiming at the problem that the existing distribution area topology identification process is too complex, the distribution area topology identification process is optimized to be a process that a master station issues an instruction, a high-level measurement terminal executes, a low-voltage sensing device sends a micro-current characteristic signal, the high-level measurement terminal finishes distribution area topology combing, the master station acquires topology information and draws and displays the topology information, so that topology identification is marginalized, master station participation is reduced, and the topology identification accuracy is guaranteed while the load of the master station is reduced.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive efforts.
Fig. 1 is a schematic overall flow chart of a station area topology identification method based on local micro-current according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, the illustrated embodiments are provided to illustrate the invention and not to limit the scope of the invention.
Referring to fig. 1, the present embodiment provides a method for identifying a topology of a distribution room based on local micro-current, the method including the following steps:
s101, respectively installing a high-grade measuring terminal, a low-voltage sensing device and a broadband carrier module with a micro-current characteristic signal at each stage of a transformer area. In this embodiment, the carrier communication module is an HPLC module.
S102, when the master station issues a topology identification instruction to the advanced measurement terminal, the advanced measurement terminal is configured with a carrier communication module of the whole network to send a micro-current characteristic signal.
S103, the low-voltage sensing device of each node sends a micro-current characteristic signal to the upper stage and identifies the micro-current characteristic signal received by the node.
And S104, after the micro-current characteristic signals of the whole area are sent, the advanced measurement terminal reads the identification state of the low-voltage sensing device, and after the advanced measurement terminal judges that the low-voltage sensing device is identified, the advanced measurement terminal reads the topology information of the low-voltage sensing device of each node.
And S105, the advanced measurement terminal collects topology information of the low-voltage sensing devices of the nodes and micro-current characteristic signals of the whole transformer area, and extracts and converts the characteristic identification signals through unified topology identification to obtain topological circuit information of the transformer area.
And S106, the master station acquires the topological line information of the transformer area, and draws and displays the topological line information at the master station.
The method comprises the following steps of respectively installing an advanced measuring terminal, a low-voltage sensing device and a broadband carrier module with micro-current characteristic signals at each stage of a transformer area, and specifically comprises the following steps:
s201, installing advanced measurement terminals, such as power distribution rooms and JP cabinets, at the first stage of the transformer area. And leading out a mutual inductor at the side of the transformer through a branch monitoring module of the advanced measurement terminal, and clamping the mutual inductor at a branch outlet of the transformer to form a primary topology of the transformer area. The existing platform area topology identification mode lacks a topology node at an outlet branch of a platform area transformer, and the main reason is that the node is connected with electricity by an outlet copper plate of the transformer, and common topology monitoring equipment cannot be installed at the position to get electricity. The branch monitoring module with the micro-current characteristic signal identification function is added to the advanced measuring terminal, so that the problem that power taking and installation of monitoring equipment are difficult in the prior art is solved.
S202, installing a low-voltage sensing device on the 2 nd-N stage incoming line or outgoing line of the platform area according to the actual situation, wherein the 2 nd-N stage can be a branch box and the like.
S203, installing a low-voltage sensing device in front of the (N + 1) th-level meter box, and replacing the meter module at the meter box to be a carrier communication module.
Before step S102, the method further includes the steps of: a load on-off module is additionally arranged between the zero line and the live line of the electric equipment, and the load on-off mode is controlled by the load on-off module, so that micro current with a specific rule is generated on the power line. The low-voltage sensing device generates a micro-current characteristic signal through a 00K modulation mode and feeds the micro-current characteristic signal to the power line. And the advanced measurement terminal or the last-level low-voltage sensing device samples and demodulates the current signal and detects the micro-current characteristic signal.
In this embodiment, before the advanced measurement terminal configures a carrier communication module of the whole network to send a micro-current characteristic signal, the advanced measurement terminal performs timing on equipment capable of recognizing the micro-current characteristic signal in the whole network to an STA node in the whole cell through the CCO equipment, so that time uniformity and accuracy of the identification equipment in the whole network are ensured.
In order to ensure the precision of identifying signal intensity and the intercommunication of various identification schemes of identification equipment, the average value of the maximum value with the characteristic current code bit being 1 is specified as the signal intensity; theoretically calculating and sending the peak value of the characteristic current of 400mA, the modulation frequency of 833.3Hz, the duty ratio of 33.3%, the bit width of the characteristic bit of 600ms and the characteristic code information of the default AAE9, wherein the signal intensity S1 and S2 of the two frequency points of 783Hz and 883Hz are both about 130mA, and the actual identification signal intensity of the two frequency points of 783Hz and 883Hz is about 90 mA-110 mA to the maximum, namely 0.09A-0.11A; the existing method for identifying the topology of the distribution room can not process the identification signals of two frequency points any more, and can greatly reduce the intensity of the identification signals under the conditions of large load distribution rooms, long and short installation of equipment and unequal sizes of transformers, so that the problems of undetected detection or inaccurate identification can occur. In the embodiment, in order to ensure the signal precision in recognition, the recognition result is stored by default by 10 times of gain, so that the reliability of the recognition result is ensured, and the recognition accuracy is improved.
In step S105, the advanced measurement terminal extracts and converts the feature identification signal through unified topology identification, and specifically includes the following steps:
s301, unifying the intensities of all the micro-current characteristic signals in a dimensional range.
S302, comprehensively considering the strength and the identification number of the identified micro-current characteristic signals, and comparing the identified micro-current characteristic signals transversely and longitudinally to judge the identification accuracy.
And S303, when the micro-current characteristic signal is accurately identified, identifying the topological relation of the transformer area according to the signal attribution relation and the signal information to obtain topological line information of the transformer area. The signal information may include signal strength, number of signals, etc.
The existing platform area topology identification scheme only singly relies on identifying the micro-current characteristic signal intensity to comb the platform area topology under the conditions that the current power supply radius is large and various novel devices are connected and subjected to load impact, so that the micro-current characteristic signal identification of the topology is limited, and the platform area identification accuracy is greatly reduced. In order to solve the problem, the embodiment adopts a unified topology identification scheme to unify the micro-current characteristic signals in a dimensional range, the platform area topology is not simply combed by depending on whether the identification signals succeed or not, but the intensity and the identification number of the identified micro-current characteristic signals are comprehensively considered, and the platform area topology structure is combed and confirmed by performing transverse comparison and longitudinal comparison, so that the platform area identification accuracy is improved.
The advanced measurement terminal is used as a center for micro-current topology identification in the embodiment, and micro-current is identified and measured by the aid of extension modules such as an extended HPLC module and a branch detection module and matched with software. A high-performance multi-core processor can be adopted in hardware, and the main frequency is 1.2GHz; plug and play extension module based on USB bus, speed 12Mbps. The topology detection device is compatible with the software by adopting the extension module, the software is divided into an operating system layer and an application layer, the operating system layer comprises an operating system kernel, a hardware driving frame, a starting program, a system interface, a hardware abstraction layer and a system component, the operating system provides a system calling interface for the APP through the system interface, the hardware abstraction layer provides a hardware device access interface, and the system component and the application layer are communicated through a message bus; the application layer comprises a basic APP, a business APP and corresponding containers, and data interaction is carried out among the APPs through a message bus. In addition, a more refined and multi-level topological structure can be realized at each node and meter box of the transformer area by using the low-voltage sensing terminal, so that the topological structure of the transformer area is changed from a transformer-branch-meter box-meter into a transformer-outgoing line first-stage branch-meter box-2-level meter box- (N-level meter box) -meter topological level, the multi-level circuit of the transformer area topology is improved, and the transformer area topology has more refined visibility.
In the embodiment, a low-voltage sensing device is adopted on a platform area monitoring unit, and the low-voltage sensing device is provided with a micro-current module and has a micro-current sending and identifying function; meanwhile, the mutual inductor is equipped to pass through an alternating current analog chip, so that the metering sampling function is achieved; the edge calculation function is provided by embedding a high-performance processor. The low-voltage sensing device realizes the sending and identifying function of micro-current characteristic signals through a micro-current module, the metering of nodes can be carried out by combining a mutual inductor with the alternating current analog quantity acquisition of the sensing device, and a high-performance COR-TEXM core processor, a built-in HPLC chip and an alternating current analog chip are adopted on hardware; the software adopts an RTOS real-time operating system to realize multi-person task data, and combines hardware and software combination to realize the identification of micro-current, and the system has the functions of metering, sampling, data monitoring, edge end sensing and the like. Compare traditional monitoring unit, this low pressure perception device can carry out topology edge end perception carding through increase edge calculation perception hardware on hardware, install the low pressure perception device at platform district end node promptly and can accomplish the topology carding of this node, the edge cutting of each node of platform district topology has been realized, make the topology more lean on, the accuracy of platform district topology is promoted, this equipment realizes the topology carding of this node on hardware and algorithm, every low pressure perception device combs the topology identification carding information feedback to senior measurement terminal, senior measurement terminal gathers carding district node at each node, the most discernment is for combing the physical circuit who accomplishes whole platform district through the unification scheme. In addition, the equipment can also realize the functions of monitoring data of each node, collecting various data and the like, and the sectional line loss of a transformer-first-level branch-meter box (N-level meter box) -meter in the transformer area is realized by matching with the topology of the transformer area, so that the monitoring of various data of each node in the transformer area is promoted, and the beneficial support is provided for the topology transformer area.
In this embodiment, the transverse comparison of the micro-current identification signal is specifically performed with the micro-current identification signal identified by the same level of identification equipment, and the longitudinal comparison of the micro-current identification signal is specifically performed with the micro-current identification signals identified by the upper level of identification equipment and the lower level of identification equipment. The identification device is a device capable of identifying the micro-current characteristic signal.
As a preferred example, when the identified micro-current characteristic signals are compared transversely or longitudinally, a deviation value of the two micro-current characteristic signals is calculated according to the intensity and the identification number of the two micro-current characteristic signals to be compared, the deviation value is used as the distance between the two micro-current characteristic signals, an outlier index of the identified micro-current characteristic signals is calculated through an LOF algorithm, the outlier index of the identified micro-current characteristic signals is compared with a preset index threshold, and when the outlier index is smaller than the preset index threshold, the identification is judged to be accurate; and when the outlier index is larger than the preset index threshold, judging that the identification is inaccurate, wherein the value of the preset index threshold can be set according to the requirement. Calculating the deviation value of the two micro-current characteristic signals can be calculated by the following formula:
wherein D (i, j) represents the deviation value of i and j micro-current characteristic signals, SI i Signal strength, SI, representing a characteristic signal i of a micro-current j Signal strength of a characteristic signal j representing a micro-current, exp represents an exponential function with e as base, IQ i Representing the identification number, IQ, of the characteristic signal i of the microcurrent j Representing the identified number of the micro-current characteristic signals j.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A local micro-current-based method for identifying a platform area topology is characterized by comprising the following steps:
s101, respectively installing an advanced measuring terminal, a low-voltage sensing device and a broadband carrier module with a micro-current characteristic signal at each level of a transformer area;
s102, when the master station issues a topology identification instruction to the advanced measurement terminal, the advanced measurement terminal configures a carrier communication module of the whole network to send a micro-current characteristic signal;
s103, the low-voltage sensing device of each node sends a micro-current characteristic signal to the upper stage, and the micro-current characteristic signal received by the node is identified;
s104, after the micro-current characteristic signals of the whole area are sent, the advanced measurement terminal reads the identification state of the low-voltage sensing device, and after the advanced measurement terminal judges that the identification is finished, the advanced measurement terminal reads the topological information of the low-voltage sensing device of each node;
s105, the advanced measurement terminal collects topology information of the low-voltage sensing devices of the nodes and micro-current characteristic signals of the whole transformer area, and extracts and converts the characteristic identification signals through unified topology identification to obtain topological circuit information of the transformer area;
and S106, the master station acquires the topological line information of the transformer area, and draws and displays the topological line information at the master station.
2. The method for identifying the topology of the distribution room based on the local micro-current as claimed in claim 1, wherein the step S101 specifically comprises the following steps:
s201, installing an advanced measurement terminal at a first stage of a transformer area, leading out a mutual inductor at the side of a transformer through a branch monitoring module of the advanced measurement terminal, and clamping the mutual inductor at a branch outlet of the transformer to form a first-stage topology of the transformer area;
s202, installing a low-voltage sensing device on the 2 nd-N stage incoming line or outgoing line of the transformer area;
s203, installing a low-voltage sensing device in front of the (N + 1) th-level meter box, and replacing the meter module at the meter box to be a carrier communication module.
3. The local micro-current based station topology identification method according to claim 1, further comprising, before step S102, the steps of: a load on-off module is additionally arranged between the zero line and the live line of the electric equipment, and the load on-off mode is controlled by the load on-off module, so that micro-current with a specific rule is generated on the power line.
4. The method according to claim 1, wherein before the advanced measurement terminal configures a carrier communication module of the whole network to send the microcurrent signature signal, the advanced measurement terminal performs timing on devices of the whole network identifiable microcurrent signature signal to the STA node of the whole network through the CCO device.
5. The method for identifying the topology of the distribution room based on the local micro-current as claimed in claim 1, wherein the advanced measurement terminal and the low voltage sensing device perform gain processing on the micro-current characteristic signal identification result and store the result.
6. The method for identifying the topology of the distribution room based on the local micro-current as claimed in claim 1, wherein the advanced measurement terminal extracts and converts the characteristic identification signal through unified topology identification, comprising the following steps:
s301, unifying the intensities of all the micro-current characteristic signals in a dimensional range;
s302, comprehensively considering the strength and the identification number of the identified micro-current characteristic signals, and comparing the identified micro-current characteristic signals transversely and longitudinally to judge the identification accuracy;
and S303, when the micro-current characteristic signal is accurately identified, identifying the topological relation of the transformer area according to the signal attribution relation and the signal information to obtain topological line information of the transformer area.
7. The local micro-current-based district topology identification method according to claim 6, wherein the micro-current identification characteristic signals are compared transversely, specifically with micro-current characteristic signals identified by a same-level identification device, and the micro-current identification characteristic signals are compared longitudinally, specifically with micro-current characteristic signals identified by upper and lower level identification devices.
8. The local micro-current-based distribution room topology identification method according to claim 7, wherein when the identified micro-current characteristic signals are compared transversely or longitudinally, the deviation values of the two micro-current characteristic signals are calculated according to the intensities and the identification numbers of the two micro-current characteristic signals, the deviation values are used as the distances between the two micro-current characteristic signals, the outliers of the identified micro-current characteristic signals are calculated through an LOF algorithm, the outliers of the identified micro-current characteristic signals are compared with a preset exponential threshold value, and when the outliers are smaller than the preset exponential threshold value, the identification is judged to be accurate; and when the outlier index is larger than a preset index threshold value, judging that the identification is inaccurate.
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