CN117439033A - System for preventing loop closing misoperation based on real-time data of transformer substation - Google Patents
System for preventing loop closing misoperation based on real-time data of transformer substation Download PDFInfo
- Publication number
- CN117439033A CN117439033A CN202311743549.5A CN202311743549A CN117439033A CN 117439033 A CN117439033 A CN 117439033A CN 202311743549 A CN202311743549 A CN 202311743549A CN 117439033 A CN117439033 A CN 117439033A
- Authority
- CN
- China
- Prior art keywords
- data acquisition
- closing
- low
- edge computing
- voltage distribution
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004891 communication Methods 0.000 claims description 32
- 238000004364 calculation method Methods 0.000 claims description 31
- 238000012545 processing Methods 0.000 claims description 27
- 238000012544 monitoring process Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 11
- 238000013480 data collection Methods 0.000 description 12
- 238000013528 artificial neural network Methods 0.000 description 10
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 230000000306 recurrent effect Effects 0.000 description 6
- 230000007257 malfunction Effects 0.000 description 5
- 238000013178 mathematical model Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 2
- 230000006403 short-term memory Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H11/00—Emergency protective circuit arrangements for preventing the switching-on in case an undesired electric working condition might result
- H02H11/008—Emergency protective circuit arrangements for preventing the switching-on in case an undesired electric working condition might result preventing unsafe switching operations in substations (Schaltfehlerschutz)
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a system for preventing loop closing misoperation based on real-time data of a transformer substation, which relates to the field of power supply systems and comprises the following components: the data acquisition module comprises a plurality of data acquisition units; the edge computing module comprises a computing power scheduling unit and a plurality of edge computing units, wherein the computing power scheduling unit is used for determining an optimal edge computing unit, and the optimal edge computing unit is used for judging whether ring closing misoperation occurs or not based on the ring closing related information acquired by the data acquisition unit; the closed ring protection module comprises a plurality of closed ring protection units, wherein each closed ring protection unit comprises a closed ring protection switch and a closed ring protection controller; the optimal edge computing unit is also used for issuing a loop closing protection instruction to the loop closing protection controller when the loop closing misoperation is judged to occur, and the loop closing protection controller is instructed to control the loop closing protection switch to execute the loop closing protection operation, so that the loop closing misoperation is reduced, and the reliability of power supply is improved.
Description
Technical Field
The invention relates to the field of power supply systems, in particular to a system for preventing loop closing misoperation based on real-time data of a transformer substation.
Background
With the development of power distribution network construction, a power distribution network has generally adopted a power supply mode of bidirectional power supply. The power distribution network has the greatest characteristics of a closed-loop structure and a power supply mode of open-loop operation, under normal conditions, the tie switch is generally opened and closed to operate, and when the load is reversed or the line is overhauled, the power failure time can be reduced through the operation of closing and opening the loop, and the power supply reliability is improved. However, the ring closing operation can generate ring closing current, which can cause protection misoperation and even accidents.
The existing master station loop closing method mainly comprises the steps that a master station performs calculation and analysis according to real-time parameters of a power grid and a power grid model sent by a terminal, judges whether loop closing conditions are met, if the loop closing conditions are met, sends a loop closing command to the terminal, and completes corresponding loop closing operation after receiving the loop closing command. However, the primary station ring closing method is limited by the delay of communication uploading and transmission, and when the terminal performs ring closing operation, the ring closing condition is changed due to real-time change of the power grid parameters of the power distribution network, so that ring closing misoperation may be caused.
Therefore, it is necessary to provide a system for preventing loop closing misoperation based on real-time data of a transformer substation, which is used for reducing loop closing misoperation and improving the reliability of power supply.
Disclosure of Invention
One of the embodiments of the present disclosure provides a system for preventing loop closing misoperation based on real-time data of a transformer substation, which is applied to a low-voltage distribution network, wherein the low-voltage distribution network at least comprises a plurality of low-voltage distribution nodes and a plurality of interconnection switches, and the system comprises: the data acquisition module comprises a plurality of data acquisition units, one low-voltage distribution node corresponds to at least one data acquisition unit, and the data acquisition unit is used for acquiring corresponding ring closing related information of the low-voltage distribution node; the edge computing module comprises a computing power scheduling unit and a plurality of edge computing units, wherein the computing power scheduling unit is used for determining an optimal edge computing unit from the plurality of edge computing units, and the optimal edge computing unit is used for judging whether ring closing misoperation occurs or not based on ring closing related information acquired by data acquisition units corresponding to low-voltage power distribution nodes on two sides of a contact switch for ring closing operation; the environment-friendly closing protection module comprises a plurality of environment-friendly closing protection units, wherein each environment-friendly closing protection unit comprises an environment-friendly closing switch and an environment-friendly closing controller, the environment-friendly closing controller is electrically connected with the environment-friendly closing switches, and one environment-friendly closing switch is connected with one environment-friendly closing switch in series; the optimal edge computing unit is further used for issuing a closing ring protection instruction to a closing ring protection controller electrically connected with the closing ring protection switch connected in series with the contact switch for closing ring operation when the occurrence of closing ring misoperation is judged, wherein the closing ring protection instruction is used for indicating the closing ring protection controller to control the closing ring protection switch connected in series with the contact switch for closing ring operation to execute the closing ring protection operation.
In some embodiments, the data acquisition unit at least includes a bus data acquisition device and a plurality of transformer data acquisition devices, where the bus data acquisition device is configured to acquire electrical characteristic information of a bus of the low-voltage distribution node, the transformer data acquisition device is configured to acquire electrical characteristic information and operation status characteristics of a component of a transformer of the low-voltage distribution node, and the loop closing related information at least includes electrical characteristic information of the bus of the low-voltage distribution node and electrical characteristic information and operation status characteristics of the component of the transformer.
In some embodiments, the computing power scheduling unit determines an optimal edge computing unit from the plurality of edge computing units, comprising: for each edge computing unit, determining a matching score of the edge computing unit based on a communication distance between a data acquisition unit corresponding to low-voltage distribution nodes on two sides of the connecting switch for ring closing operation and the edge computing unit, a calculation force load rate of the edge computing unit and state information of the edge computing unit; an optimal edge calculation unit is determined from the plurality of edge calculation units based on the matching score of each of the edge calculation units.
In some embodiments, the computing power scheduling unit determines a matching score of the edge computing unit based on a communication distance between the data collecting unit corresponding to the low-voltage distribution nodes on two sides of the tie switch performing the loop closing operation and the edge computing unit, a computing power load rate of the edge computing unit, and state information of the edge computing unit, and includes: determining the score of the edge computing unit in a communication real-time index based on the communication distance between the data acquisition units corresponding to the low-voltage distribution nodes on the two sides of the connecting switch for ring closing operation and the edge computing unit; determining the score of the edge computing unit on the residual computing power index based on the computing power load rate of the edge computing unit; determining a score of the edge computing unit in computing a failure rate based on the state information of the edge computing unit; and carrying out weighted summation on the score of the edge computing unit in the communication instantaneity index, the score of the residual power index and the score of the calculated failure rate, and determining the matching score of the edge computing unit.
In some embodiments, the edge computing module further includes a plurality of edge monitoring units, one of the edge monitoring units corresponds to one of the edge computing units, the edge monitoring units are configured to obtain state information of the corresponding edge computing unit, and the plurality of edge monitoring units all interact with the computing power scheduling unit in a data manner.
In some embodiments, the optimal edge calculating unit is configured to determine whether a loop closing error operation occurs based on loop closing related information collected by a data collecting unit corresponding to low-voltage distribution nodes on two sides of a tie switch performing the loop closing operation, and includes: judging whether the loop closing misoperation occurs or not based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation; when it is judged that the ring closing misoperation does not occur based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation, it is judged whether the ring closing misoperation occurs based on the electrical characteristic information and the running state characteristics of the components of the transformer of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation.
In some embodiments, the optimal edge calculating unit determines whether a loop closing malfunction occurs based on electrical characteristic information of low-voltage power distribution nodes on two sides of a tie switch performing the loop closing operation, including: determining voltage difference, phase angle difference and frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation, and judging whether ring closing misoperation occurs based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation; when the loop closing misoperation is judged not to occur based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation, the steady-state loop closing current and the transient-state loop closing current are predicted based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation and the dynamic equivalent impedance of the low-voltage distribution network, and whether the loop closing misoperation occurs is judged based on the predicted steady-state loop closing current and the transient-state loop closing current.
In some embodiments, the optimal edge calculating unit determines whether a loop closing malfunction occurs based on electrical characteristic information and operation status characteristics of components of the transformer of the low voltage distribution nodes on both sides of the tie switch performing the loop closing operation, including: determining the fault possibility of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation based on the electrical characteristic information and the running state characteristics of the components of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation; and judging whether the loop closing misoperation occurs or not based on the possibility of faults of transformers of low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation.
In some embodiments, the computing power scheduling unit is further configured to determine a distribution of the plurality of edge computing units by: grouping the plurality of data acquisition units to determine a plurality of data acquisition groups; based on the plurality of data acquisition groups, a distribution of a plurality of edge computing units is determined.
In some embodiments, the computing power scheduling unit groups the plurality of data acquisition units to determine a plurality of data acquisition groups, including: clustering the plurality of data acquisition units based on the position information of the plurality of data acquisition units to determine a plurality of data acquisition clusters; for each data acquisition cluster, judging whether the data acquisition clusters need to be grouped or not based on the data processing requirements of each data acquisition unit included in the data acquisition cluster and the historical fault rate of the corresponding low-voltage distribution node; if the data acquisition cluster is judged to be unnecessary to be grouped, the data acquisition cluster is used as one data acquisition group; and if the data acquisition cluster is judged to need to be grouped, grouping the data acquisition cluster according to a Monte Carlo model based on the data processing requirement of each data acquisition unit included in the data acquisition cluster and the historical fault rate of the corresponding low-voltage distribution node according to grouping constraint conditions, and determining a plurality of data acquisition groups.
Compared with the prior art, the system for preventing loop closing misoperation based on real-time data of the transformer substation provided by the specification has the following beneficial effects:
1. by arranging a plurality of data acquisition units, when a certain low-voltage distribution node fails and ring closing judgment and ring closing operation are needed, ring closing related information acquired by the data acquisition units corresponding to the low-voltage distribution nodes on two sides of a contact switch for ring closing operation is acquired in real time, whether ring closing misoperation occurs is judged in real time based on an edge computing technology, and when the ring closing misoperation is judged, the ring closing operation is executed through a ring closing controller and a ring closing protection switch, so that the ring closing misoperation is reduced, and the reliability of power supply is improved;
2. the optimal edge computing unit is determined from the communication distance between the data acquisition units and the edge computing units corresponding to the low-voltage distribution nodes on the two sides of the connecting switch for ring closing operation, the computing power load rate of the edge computing units and the state information of the edge computing units, so that the load of a plurality of edge computing units is balanced as much as possible, the quality of data transmission and the instantaneity of data processing are ensured, and the accuracy and the instantaneity of a result for judging whether ring closing misoperation occurs are further ensured;
3. The Monte Carlo model is used for quickly and accurately determining a plurality of data acquisition groups meeting grouping requirements through grouping constraint conditions;
4. the electrical characteristic information of the low-voltage distribution nodes on two sides of the tie switch which performs the loop closing operation and the electrical characteristic information and the running state characteristics of the components of the transformer of the low-voltage distribution nodes on two sides of the tie switch which performs the loop closing operation are analyzed, so that the judgment result of the loop closing misoperation is more comprehensive;
5. based on the plurality of data acquisition groups, the distribution of the plurality of edge computing units is determined, so that the distribution of the plurality of edge computing units is more in line with the data transmission and data processing requirements of the plurality of data acquisition groups, and the instantaneity of judging whether the ring closing misoperation occurs is improved.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a block diagram of a system for preventing closed loop misoperation based on substation real-time data according to some embodiments of the present disclosure;
FIG. 2 is a flow diagram of a system for determining a match score for an edge computing unit according to some embodiments of the present description;
fig. 3 is a schematic flow chart of determining a plurality of data acquisition groups according to some embodiments of the present description.
Description of the embodiments
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
A system for preventing loop closing misoperation based on real-time data of a transformer substation can be applied to a low-voltage distribution network, wherein the low-voltage distribution network at least comprises a plurality of low-voltage distribution nodes and a plurality of interconnection switches. The low voltage distribution node may be constituted by a low voltage distribution device. For example, the low-voltage distribution node may be formed by a primary distribution device, a secondary distribution device, or a final distribution device. Wherein, the first-stage power distribution equipment is collectively called a power distribution center. They are installed centrally in the substations of the enterprise to distribute the electrical energy to the lower distribution facilities at different sites. The stage of equipment is closely adjacent to the step-down transformer, so that the electrical parameter requirement is higher, and the output circuit capacity is also larger. The secondary power distribution equipment is a generic name of a power distribution cabinet and a motor control center. The power distribution cabinet is used in the occasions with dispersed load and less loops; the motor control center is used for occasions with concentrated load and more loops. They distribute the power of a circuit of the upper-level distribution equipment to nearby loads. This class of equipment should provide protection, monitoring and control of the load. The final stage distribution equipment is collectively referred to as an illumination power distribution box. They are remote from the power center and are decentralized small-capacity power distribution devices. The tie switch may be used to connect the corresponding bus bars of the two low voltage distribution nodes.
Fig. 1 is a schematic block diagram of a system for preventing loop closing misoperation based on real-time data of a substation according to some embodiments of the present disclosure, as shown in fig. 1, a system for preventing loop closing misoperation based on real-time data of a substation may include a data acquisition module, an edge calculation module, and a loop closing protection module. The respective modules are described in detail in order below.
The data acquisition module can comprise a plurality of data acquisition units, one low-voltage distribution node corresponds to at least one data acquisition unit, and the data acquisition unit is used for acquiring ring closing related information of the corresponding low-voltage distribution node.
In some embodiments, the data acquisition unit at least includes a bus data acquisition device and a plurality of transformer data acquisition devices, wherein the bus data acquisition device is used for acquiring electrical characteristic information of a bus of the low-voltage distribution node, the transformer data acquisition device is used for acquiring electrical characteristic information and operation state characteristics of components of a transformer of the low-voltage distribution node, and the ring closing related information at least includes electrical characteristic information of the bus of the low-voltage distribution node and electrical characteristic information and operation state characteristics of the components of the transformer.
Specifically, the bus data acquisition device can be used for acquiring A-phase current, B-phase current, C-phase current, A-phase voltage, B-phase voltage and C-phase voltage of a bus. Different transformer data acquisition devices can be used for gathering the electrical characteristic information and the running state characteristic of the different components of the transformer of low voltage distribution node. The transformer data acquisition device at least comprises an electrical characteristic acquisition device and an operation state acquisition device, wherein the electrical characteristic acquisition device can comprise a current sensor and a voltage sensor. The operating state detection device may comprise at least a vibration sensor, a temperature sensor, a humidity sensor, a gas sensor, etc.
In some embodiments, when a certain tie switch does not need to perform a loop closing operation or a loop closing judgment, the data acquisition units corresponding to the low-voltage distribution nodes at two sides of the tie switch may not perform a data acquisition operation.
The edge computing module may include a computing power scheduling unit and a plurality of edge computing units, where the computing power scheduling unit is configured to determine an optimal edge computing unit from the plurality of edge computing units, and the optimal edge computing unit is configured to determine whether a loop closing misoperation occurs based on loop closing related information acquired by data acquisition units corresponding to low-voltage distribution nodes on two sides of a tie switch that performs the loop closing operation.
The optimal edge calculating unit may be an edge calculating unit that is currently the best match among the plurality of edge calculating units to determine whether the computing force requirement of the ring closing malfunction occurs. The computing power scheduling unit and the plurality of edge computing units may communicate by wired or wireless means. The data interaction between the plurality of data acquisition units and the plurality of edge calculation units is performed in a wireless communication (e.g., WIFI, zigBee, etc.), and the data interaction relationship between the plurality of data acquisition units and the plurality of edge calculation units can be flexibly adjusted.
In some embodiments, the power dispatch unit is further configured to determine a distribution of the plurality of edge calculation units by a process comprising:
grouping a plurality of data acquisition units to determine a plurality of data acquisition groups;
based on the plurality of data acquisition groups, a distribution of a plurality of edge computing units is determined.
In particular, the data acquisition group may comprise at least a part of the plurality of data acquisition units. The computing power scheduling unit may determine a distribution of the plurality of edge computing units based on the position information of the plurality of data acquisition groups. For example, the number of edge calculation units and the positions of the edge calculation units are determined based on the number of data collection groups and obstacle information within the communication range of the data collection groups. For example only, for each data acquisition group, a plurality of unit communication ranges may be determined based on a preset radius, the unit communication ranges may be fused, the communication range of the data acquisition group may be determined, point cloud information within the communication range may be acquired, thereby determining obstacle information within the communication range, and the number of edge calculation units and the positions of the edge calculation units within the communication range may be determined based on the point cloud information within the communication range through a distribution planning model, where the distribution planning model may be a machine learning model such as an artificial neural network (Artificial Neural Network, ANN) model, a recurrent neural network (Recurrent Neural Networks, RNN) model, a Long Short-Term Memory (LSTM) model, a bi-directional recurrent neural network (BRNN) model, and the like.
FIG. 3 is a schematic flow chart of determining a plurality of data acquisition groups according to some embodiments of the present disclosure, as shown in FIG. 3, in some embodiments, the computing power scheduling unit groups the plurality of data acquisition units to determine the plurality of data acquisition groups, including:
clustering the plurality of data acquisition units based on the position information of the plurality of data acquisition units to determine a plurality of data acquisition clusters;
for each data acquisition cluster, determining the data processing requirement of each data acquisition unit and the historical fault rate of the corresponding low-voltage distribution node included in the data acquisition cluster, and judging whether the data acquisition cluster needs to be grouped or not based on the data processing requirement of each data acquisition unit and the historical fault rate of the corresponding low-voltage distribution node included in the data acquisition cluster;
if the data acquisition cluster is judged not to need grouping, the data acquisition cluster is used as a data acquisition group;
if the data acquisition clusters are judged to need to be grouped, the data acquisition clusters are grouped according to the data processing requirements of each data acquisition unit included in the data acquisition clusters and the historical fault rate of the corresponding low-voltage distribution node by a Monte Carlo model according to grouping constraint conditions, and a plurality of data acquisition groups are determined.
Specifically, the calculation power scheduling unit may calculate the distance between any two data acquisition units based on the position information of the plurality of data acquisition units, determine a plurality of initial clustering centers from the plurality of data acquisition units, determine the distance between any two initial clustering centers to be greater than a preset distance threshold, calculate the distance between other data acquisition units and each initial clustering center, cluster the data acquisition unit to the data acquisition cluster in which the initial clustering center is located if the distance between a certain data acquisition unit and a certain initial clustering center is less than or equal to the preset distance threshold, cluster the data acquisition unit to the data acquisition cluster in which the initial clustering center with the smallest distance is located if the distance between a certain data acquisition unit and the two initial clustering centers is less than or equal to the preset distance threshold, repeating the steps of adding at least one secondary clustering center from the rest data acquisition units of incomplete clusters, performing secondary clustering on the plurality of data acquisition units until the plurality of data acquisition units are clustered, generating a plurality of initial data acquisition clusters, taking the initial data acquisition clusters with the number of the data acquisition units smaller than a preset number threshold as initial data acquisition clusters to be fused, calculating the distance between the clustering center of the initial data acquisition clusters to be fused and the clustering centers of other initial data acquisition clusters not to be fused, and fusing the initial data acquisition clusters to be fused into the initial data acquisition clusters not to be fused which are closest to each other, thereby determining a plurality of data acquisition clusters.
In some embodiments, the power dispatch unit may determine a historical failure rate for the low voltage power distribution node based on the historical operational information for the low voltage power distribution node and the historical operational information for a similar low voltage power distribution node via a failure rate determination model. The failure rate determining model may be a machine learning model such as an artificial neural network (Artificial Neural Network, ANN) model, a recurrent neural network (Recurrent Neural Networks, RNN) model, a Long Short-Term Memory (LSTM) model, or a bi-directional recurrent neural network (BRNN) model. The similar low voltage distribution node may be a low voltage distribution node in a current low voltage distribution network or other low voltage distribution network that is similar to the structure, operating environment, and operating time of the low voltage distribution node.
In some embodiments, the higher the historical failure rate of the low-voltage power distribution node, the greater the possibility of performing ring closing operation on the low-voltage power distribution node, the higher the possibility of determining whether ring closing misoperation occurs by analyzing the data acquired by the data acquisition unit corresponding to the low-voltage power distribution node. The data processing requirements of different data acquisition units can be different, and can be determined according to the type of the data acquisition device included in the data acquisition unit, the data volume acquired by the data acquisition device at one time and the acquisition frequency.
In some embodiments, the data collection frequency of the data collection unit may also be determined based on the historical failure rate of the low voltage power distribution node. For example, the higher the historical failure rate of a low voltage power distribution node, the higher the data collection frequency of the data collection unit to which the low voltage power distribution node corresponds.
The power calculation scheduling unit can determine grouping demand parameters of the data acquisition cluster according to data processing demands of each data acquisition unit and historical fault rates of corresponding low-voltage power distribution nodes, wherein the data acquisition cluster comprises the data acquisition units, and when the grouping demand parameters are larger than a preset grouping demand threshold, the data acquisition cluster is judged to need to be grouped.
For example, the power dispatch unit may determine the grouping requirement parameters for the data collection cluster based on the following formula:
wherein (1)>For the grouping demand parameters of the ith data acquisition cluster, N is the total number of data acquisition units included in the ith data acquisition cluster, and +.>For the data processing requirement of the nth data acquisition unit included in the normalized ith data acquisition cluster,/for the nth data acquisition unit>For the historical failure rate of the nth data acquisition unit included in the normalized ith data acquisition cluster,/th data acquisition cluster>、/>All are preset weights.
In some embodiments, the grouping constraint condition may at least include a maximum grouping number constraint, a minimum grouping number constraint, an average failure rate constraint of the data collection group, a failure rate fluctuation constraint of the data collection group, an average data processing requirement constraint of the data collection group, a data processing requirement fluctuation constraint of the data collection group, and the like, which correspond to the data collection cluster. The maximum grouping number constraint and the minimum grouping number constraint can be determined based on grouping requirement parameters of the data acquisition cluster, and the larger the grouping requirement parameters of the data acquisition cluster are, the larger the maximum number of the corresponding grouping of the data acquisition cluster is, and the larger the minimum number of the grouping is. Specifically, the calculation power scheduling unit may establish a mathematical model, where the mathematical model may represent a correlation between a maximum constraint of the grouping number and a minimum constraint of the grouping number corresponding to the data acquisition cluster and a grouping demand parameter of the data acquisition cluster, and bring the grouping demand parameter of the data acquisition cluster into the mathematical model to solve the mathematical model, so as to obtain the maximum constraint of the grouping number and the minimum constraint of the grouping number corresponding to the data acquisition cluster. The average fault rate constraint of the data acquisition group may represent an average fault rate allowable range, the fault rate fluctuation constraint of the data acquisition group may represent a fault rate fluctuation allowable range, the average data processing demand constraint of the data acquisition group may represent an average data processing demand allowable range, and the data processing demand fluctuation constraint of the data acquisition group may represent a data processing demand fluctuation allowable range.
Specifically, the failure rate fluctuation of the data acquisition group can be calculated based on the following formula:
wherein (1)>Failure rate fluctuation for the j-th data acquisition group,/-for the j-th data acquisition group>For the historical failure rate of the low-voltage distribution node corresponding to the mth data acquisition unit included in the jth data acquisition group,/-for the mth data acquisition unit>And M is the total number of the data acquisition units included in the j-th data acquisition group, wherein the average value of the historical failure rates of the low-voltage distribution nodes corresponding to the data acquisition units included in the j-th data acquisition group is the average value of the historical failure rates of the low-voltage distribution nodes corresponding to the data acquisition units included in the j-th data acquisition group.
The data processing demand fluctuations for the data acquisition group may be calculated based on the following formula:
wherein (1)>Fluctuations in data processing requirements for the jth data acquisition group,/->Data processing requirements for the mth data acquisition unit comprised in the jth data acquisition group,/->The average value of the data processing requirements of the mth data acquisition unit included in the jth data acquisition group.
It can be understood that a plurality of data acquisition groups meeting the grouping requirement can be rapidly and accurately determined by using a Monte Carlo model through grouping constraint conditions, further, average fault rate constraint of the data acquisition groups, fault rate fluctuation constraint of the data acquisition groups, average data processing requirement constraint of the data acquisition groups and data processing requirement fluctuation constraint of the data acquisition groups are established, large difference of data processing requirements of each data acquisition group including data acquisition units and large difference of fault rates of corresponding low-voltage distribution nodes are guaranteed, the situation that a certain or a plurality of edge calculation units need to process a large amount of data in the same time period to cause data processing congestion is avoided, the real-time condition of judging whether ring closing misoperation occurs is reduced, and the robustness of data processing of the system is improved.
In some embodiments, the computing power scheduling unit determines an optimal edge computing unit from a plurality of edge computing units, comprising:
for each edge computing unit, determining a matching score of the edge computing unit based on a communication distance between a data acquisition unit corresponding to low-voltage distribution nodes on two sides of a tie switch for ring closing operation and the edge computing unit, a calculation force load rate of the edge computing unit and state information of the edge computing unit;
an optimal edge calculation unit is determined from the plurality of edge calculation units based on the matching score of each edge calculation unit.
For example, the edge calculation unit with the largest matching score is used as the optimal edge calculation unit.
Fig. 2 is a schematic flow chart of a system for determining a matching score of an edge computing unit according to some embodiments of the present disclosure, as shown in fig. 2, in some embodiments, the computing power scheduling unit determines the matching score of the edge computing unit based on a communication distance between a data collecting unit corresponding to a low-voltage distribution node on two sides of a tie switch performing a loop closing operation and the edge computing unit, a computing power load rate of the edge computing unit, and state information of the edge computing unit, and includes:
Determining the score of the edge computing unit in a communication instantaneity index based on the communication distance between the data acquisition units corresponding to the low-voltage distribution nodes on the two sides of the connecting switch for ring closing operation and the edge computing unit;
determining the score of the edge computing unit in the residual computing power index based on the computing power load rate of the edge computing unit;
determining a score of the edge computing unit in computing the failure rate based on the state information of the edge computing unit;
and carrying out weighted summation on the score of the edge computing unit in the communication instantaneity index, the score of the residual calculation power index and the score of the calculated failure rate, and determining the matching score of the edge computing unit.
Specifically, the calculation power scheduling unit may determine communication distances between the data acquisition units corresponding to the low-voltage distribution nodes on two sides of the tie switch performing the ring closing operation and the edge computing unit, obtain obstacle information between the data acquisition units corresponding to the low-voltage distribution nodes on two sides of the tie switch performing the ring closing operation and the edge computing unit, determine communication time and communication quality between the data acquisition units corresponding to the low-voltage distribution nodes on two sides of the tie switch performing the ring closing operation and the edge computing unit based on the communication distances and the obstacle information between the data acquisition units corresponding to the low-voltage distribution nodes on two sides of the tie switch performing the ring closing operation, and determine a score of the edge computing unit on a residual calculation power index based on the communication time and the communication quality.
For each edge computing unit, the computing power scheduling unit may determine a maximum computing power load of the edge computing unit based on device parameter information (e.g., clock frequency, number of processor cores, cache size, etc.) of the edge computing unit, and determine a computing power load rate of the edge computing unit based on computer resources currently occupied by the edge computing unit, thereby determining a score of the edge computing unit on a remaining computing power index, where the higher the computing power load rate of the edge computing unit, the lower the score of the edge computing unit on the remaining computing power index.
In some embodiments, the edge computing module further includes a plurality of edge monitoring units, one edge monitoring unit corresponds to one edge computing unit, the edge monitoring unit is configured to obtain status information of the corresponding edge computing unit, and the plurality of edge monitoring units all perform data interaction with the computing power scheduling unit.
In some embodiments, the optimal edge calculating unit is configured to determine whether a loop closing error operation occurs based on loop closing related information collected by a data collecting unit corresponding to low-voltage distribution nodes on two sides of a tie switch performing the loop closing operation, and includes:
judging whether the loop closing misoperation occurs or not based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation;
When it is judged that the ring closing misoperation does not occur based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation, it is judged whether the ring closing misoperation occurs based on the electrical characteristic information and the running state characteristics of the components of the transformer of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation.
In some embodiments, the optimal edge calculating unit determines whether a loop closing malfunction occurs based on electrical characteristic information of low-voltage distribution nodes on both sides of a tie switch performing the loop closing operation, including:
determining voltage difference, phase angle difference and frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation, and judging whether ring closing misoperation occurs based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation;
when the loop closing misoperation is judged to not occur based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation, the steady-state loop closing current and the transient-state loop closing current are predicted based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation and the dynamic equivalent impedance of the low-voltage distribution network, and whether the loop closing misoperation occurs is judged based on the predicted steady-state loop closing current and the transient-state loop closing current.
For example, based on the voltage difference and the phase angle difference, calculating the voltage difference, and judging whether the voltage difference satisfies a preset voltage difference condition, for example, the voltage difference is less than or equal to 5% of the rated voltage;
judging whether the phase difference meets the preset phase difference condition, for example, the phase difference is 0, if not, judging that the loop closing misoperation occurs;
judging whether the frequency difference meets the preset frequency difference condition, for example, the phase difference is 0, and if not, judging that the loop closing misoperation occurs;
judging whether the steady-state current and the transient-state current meet the preset loop closing stability requirement, for example, the steady-state current is the preset steady-state current, the transient-state current is the preset transient-state current and the like, and if not, judging that loop closing misoperation occurs.
In some embodiments, the optimal edge calculating unit determines whether a loop closing malfunction occurs based on electrical characteristic information and operation status characteristics of components of the transformer of the low voltage distribution node on both sides of the tie switch performing the loop closing operation, including:
determining the fault possibility of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation based on the electrical characteristic information and the running state characteristics of the components of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation;
And judging whether the loop closing misoperation occurs or not based on the possibility of faults of transformers of low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation.
Specifically, when the fault probability of any one of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the loop closing operation is greater than a preset fault probability threshold, the loop closing misoperation is judged to occur.
It can be understood that from the electrical characteristic information of the low-voltage distribution nodes on both sides of the tie switch performing the loop closing operation and the electrical characteristic information and the running state characteristics of the components of the transformer based on the low-voltage distribution nodes on both sides of the tie switch performing the loop closing operation, the two dimensions are analyzed, so that the judgment result of the loop closing misoperation is more comprehensive.
The closed-loop protection module can comprise a plurality of closed-loop protection units, wherein the closed-loop protection units comprise a closed-loop protection switch and a closed-loop protection controller, the closed-loop protection controller is electrically connected with the closed-loop protection switch, and one closed-loop protection switch is connected in series with one connecting switch.
The optimal edge calculation unit can be further used for issuing a closing ring protection instruction to a closing ring protection controller electrically connected with a closing ring protection switch connected in series with a contact switch for closing ring operation when judging that the closing ring misoperation occurs, wherein the closing ring protection instruction is used for indicating the closing ring protection controller to control the closing ring protection switch connected in series with the contact switch for closing ring operation to execute the closing ring protection operation.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the present description. Indeed, less than all of the features of a single embodiment disclosed above.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.
Claims (10)
1. The utility model provides a system of preventing closing ring maloperation based on transformer substation real-time data, is applied to low voltage distribution network, wherein, low voltage distribution network includes a plurality of low voltage distribution nodes and a plurality of tie switch at least, its characterized in that includes:
The data acquisition module comprises a plurality of data acquisition units, one low-voltage distribution node corresponds to at least one data acquisition unit, and the data acquisition unit is used for acquiring corresponding ring closing related information of the low-voltage distribution node;
the edge computing module comprises a computing power scheduling unit and a plurality of edge computing units, wherein the computing power scheduling unit is used for determining an optimal edge computing unit from the plurality of edge computing units, and the optimal edge computing unit is used for judging whether ring closing misoperation occurs or not based on ring closing related information acquired by data acquisition units corresponding to low-voltage power distribution nodes on two sides of a contact switch for ring closing operation;
the environment-friendly closing protection module comprises a plurality of environment-friendly closing protection units, wherein each environment-friendly closing protection unit comprises an environment-friendly closing switch and an environment-friendly closing controller, the environment-friendly closing controller is electrically connected with the environment-friendly closing switches, and one environment-friendly closing switch is connected with one environment-friendly closing switch in series;
the optimal edge computing unit is further used for issuing a closing ring protection instruction to a closing ring protection controller electrically connected with the closing ring protection switch connected in series with the contact switch for closing ring operation when the occurrence of closing ring misoperation is judged, wherein the closing ring protection instruction is used for indicating the closing ring protection controller to control the closing ring protection switch connected in series with the contact switch for closing ring operation to execute the closing ring protection operation.
2. The system for preventing loop closing misoperation based on substation real-time data according to claim 1, wherein the data acquisition unit at least comprises a bus data acquisition device and a plurality of transformer data acquisition devices, wherein the bus data acquisition device is used for acquiring electrical characteristic information of a bus of the low-voltage distribution node, the transformer data acquisition device is used for acquiring electrical characteristic information and operation state characteristics of components of a transformer of the low-voltage distribution node, and the loop closing related information at least comprises the electrical characteristic information of the bus of the low-voltage distribution node and the electrical characteristic information and operation state characteristics of the components of the transformer.
3. The system for preventing loop closing misoperation based on substation real-time data according to claim 1 wherein the computing power scheduling unit determines an optimal edge computing unit from the plurality of edge computing units, comprising:
for each edge computing unit, determining a matching score of the edge computing unit based on a communication distance between a data acquisition unit corresponding to low-voltage distribution nodes on two sides of the connecting switch for ring closing operation and the edge computing unit, a calculation force load rate of the edge computing unit and state information of the edge computing unit;
An optimal edge calculation unit is determined from the plurality of edge calculation units based on the matching score of each of the edge calculation units.
4. The system for preventing loop closing misoperation based on substation real-time data according to claim 3, wherein the computing power scheduling unit determines a matching score of the edge computing unit based on a communication distance between a data acquisition unit corresponding to low-voltage distribution nodes on two sides of a tie switch performing loop closing operation and the edge computing unit, a computing power load rate of the edge computing unit and state information of the edge computing unit, and the system comprises:
determining the score of the edge computing unit in a communication real-time index based on the communication distance between the data acquisition units corresponding to the low-voltage distribution nodes on the two sides of the connecting switch for ring closing operation and the edge computing unit;
determining the score of the edge computing unit on the residual computing power index based on the computing power load rate of the edge computing unit;
determining a score of the edge computing unit in computing a failure rate based on the state information of the edge computing unit;
and carrying out weighted summation on the score of the edge computing unit in the communication instantaneity index, the score of the residual power index and the score of the calculated failure rate, and determining the matching score of the edge computing unit.
5. The system for preventing loop closing misoperation based on substation real-time data according to claim 4 wherein the edge computing module further comprises a plurality of edge monitoring units, one edge monitoring unit corresponds to one edge computing unit, the edge monitoring units are used for acquiring state information of the corresponding edge computing units, and the edge monitoring units interact with the computing power dispatching unit.
6. The system for preventing loop closing misoperation based on substation real-time data according to any one of claims 1 to 5, wherein the optimal edge calculating unit is configured to determine whether loop closing misoperation occurs based on loop closing related information collected by data collecting units corresponding to low-voltage distribution nodes on two sides of a tie switch performing loop closing operation, and the system comprises:
judging whether the loop closing misoperation occurs or not based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation;
when it is judged that the ring closing misoperation does not occur based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation, it is judged whether the ring closing misoperation occurs based on the electrical characteristic information and the running state characteristics of the components of the transformer of the low-voltage distribution nodes on the two sides of the interconnection switch which performs the ring closing operation.
7. The system for preventing loop closing misoperation based on substation real-time data according to claim 6, wherein the optimal edge calculating unit judges whether loop closing misoperation occurs based on electrical characteristic information of low-voltage distribution nodes on two sides of a tie switch performing loop closing operation, and the system comprises:
determining voltage difference, phase angle difference and frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation based on the electrical characteristic information of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation, and judging whether ring closing misoperation occurs based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on two sides of the tie switch for ring closing operation;
when the loop closing misoperation is judged not to occur based on the voltage difference, the phase angle difference and the frequency difference of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation, the steady-state loop closing current and the transient-state loop closing current are predicted based on the electrical characteristic information of the low-voltage distribution nodes on the two sides of the connecting switch which performs the loop closing operation and the dynamic equivalent impedance of the low-voltage distribution network, and whether the loop closing misoperation occurs is judged based on the predicted steady-state loop closing current and the transient-state loop closing current.
8. The system for preventing loop closing misoperation based on substation real-time data according to claim 7, wherein the optimal edge calculating unit judges whether loop closing misoperation occurs based on electrical characteristic information and operation state characteristics of components of transformers of low-voltage distribution nodes on two sides of a tie switch performing loop closing operation, and the system comprises:
determining the fault possibility of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation based on the electrical characteristic information and the running state characteristics of the components of the transformers of the low-voltage distribution nodes on two sides of the tie switch for the ring closing operation;
and judging whether the loop closing misoperation occurs or not based on the possibility of faults of transformers of low-voltage distribution nodes on two sides of the interconnection switch for the loop closing operation.
9. The system for preventing loop closing misoperation based on substation real-time data according to any one of claims 1 to 5 wherein the computing power scheduling unit is further configured to determine the distribution of a plurality of edge computing units by the following procedure, including:
grouping the plurality of data acquisition units to determine a plurality of data acquisition groups;
based on the plurality of data acquisition groups, a distribution of a plurality of edge computing units is determined.
10. The system for preventing loop closing misoperation based on substation real-time data according to claim 9 wherein the computing power scheduling unit groups the plurality of data acquisition units to determine a plurality of data acquisition groups, comprising:
clustering the plurality of data acquisition units based on the position information of the plurality of data acquisition units to determine a plurality of data acquisition clusters;
for each data acquisition cluster, judging whether the data acquisition clusters need to be grouped or not based on the data processing requirements of each data acquisition unit included in the data acquisition cluster and the historical fault rate of the corresponding low-voltage distribution node;
if the data acquisition cluster is judged to be unnecessary to be grouped, the data acquisition cluster is used as one data acquisition group;
and if the data acquisition cluster is judged to need to be grouped, grouping the data acquisition cluster according to a Monte Carlo model based on the data processing requirement of each data acquisition unit included in the data acquisition cluster and the historical fault rate of the corresponding low-voltage distribution node according to grouping constraint conditions, and determining a plurality of data acquisition groups.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311743549.5A CN117439033B (en) | 2023-12-19 | 2023-12-19 | System for preventing loop closing misoperation based on real-time data of transformer substation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311743549.5A CN117439033B (en) | 2023-12-19 | 2023-12-19 | System for preventing loop closing misoperation based on real-time data of transformer substation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117439033A true CN117439033A (en) | 2024-01-23 |
| CN117439033B CN117439033B (en) | 2024-05-14 |
Family
ID=89553729
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311743549.5A Active CN117439033B (en) | 2023-12-19 | 2023-12-19 | System for preventing loop closing misoperation based on real-time data of transformer substation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117439033B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4410848A (en) * | 1981-06-08 | 1983-10-18 | Basler Electric Company | System for maintaining excitation of an alternator during excessive output current conditions |
| CN101431255A (en) * | 2008-11-17 | 2009-05-13 | 国电南瑞科技股份有限公司 | Closed loop operation risk analysis method for power system |
| CN101908763A (en) * | 2010-07-23 | 2010-12-08 | 广东电网公司中山供电局 | Method for controlling distribution network closed loop |
| CN102842951A (en) * | 2011-06-24 | 2012-12-26 | 北京市电力公司 | Low voltage loop-closing selective-tripping system |
| CN102904228A (en) * | 2012-10-17 | 2013-01-30 | 南京因泰莱配电自动化设备有限公司 | Protection method and protection device of power distribution network |
| CN103236695A (en) * | 2013-04-28 | 2013-08-07 | 国家电网公司 | Power distribution network loop closing current switching method and device, and power distribution terminal |
| CN103701199A (en) * | 2013-12-25 | 2014-04-02 | 施耐德万高（天津）电气设备有限公司 | Parallel changeover control system with closed-loop switch-off protection |
| FR3006515A1 (en) * | 2013-05-31 | 2014-12-05 | Airbus Operations Sas | ELECTRICAL PROTECTION USING A SEMICONDUCTOR SWITCH. |
| CN104682551A (en) * | 2015-03-18 | 2015-06-03 | 常熟开关制造有限公司(原常熟开关厂） | Closed-loop screening method for power parallel conversion device and power parallel conversion device |
| CN104734352A (en) * | 2015-03-10 | 2015-06-24 | 国家电网公司 | Loop closing operation control method for power distribution line |
| CN105429137A (en) * | 2015-12-09 | 2016-03-23 | 云南电网有限责任公司红河供电局 | Distribution network loop closing power supply switching method |
| US20180278040A1 (en) * | 2017-03-21 | 2018-09-27 | Shanghai Fudan Microelectronics Group Company Limited | Ground Fault Protection System |
| CN110445108A (en) * | 2019-07-31 | 2019-11-12 | 云南电网有限责任公司瑞丽供电局 | A kind of cyclization tune electric protection control method improving power supply reliability |
| KR20220059058A (en) * | 2020-11-02 | 2022-05-10 | 광주과학기술원 | Protection apparatus for closed loop power distribution system |
-
2023
- 2023-12-19 CN CN202311743549.5A patent/CN117439033B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4410848A (en) * | 1981-06-08 | 1983-10-18 | Basler Electric Company | System for maintaining excitation of an alternator during excessive output current conditions |
| CN101431255A (en) * | 2008-11-17 | 2009-05-13 | 国电南瑞科技股份有限公司 | Closed loop operation risk analysis method for power system |
| CN101908763A (en) * | 2010-07-23 | 2010-12-08 | 广东电网公司中山供电局 | Method for controlling distribution network closed loop |
| CN102842951A (en) * | 2011-06-24 | 2012-12-26 | 北京市电力公司 | Low voltage loop-closing selective-tripping system |
| CN102904228A (en) * | 2012-10-17 | 2013-01-30 | 南京因泰莱配电自动化设备有限公司 | Protection method and protection device of power distribution network |
| CN103236695A (en) * | 2013-04-28 | 2013-08-07 | 国家电网公司 | Power distribution network loop closing current switching method and device, and power distribution terminal |
| FR3006515A1 (en) * | 2013-05-31 | 2014-12-05 | Airbus Operations Sas | ELECTRICAL PROTECTION USING A SEMICONDUCTOR SWITCH. |
| CN103701199A (en) * | 2013-12-25 | 2014-04-02 | 施耐德万高（天津）电气设备有限公司 | Parallel changeover control system with closed-loop switch-off protection |
| CN104734352A (en) * | 2015-03-10 | 2015-06-24 | 国家电网公司 | Loop closing operation control method for power distribution line |
| CN104682551A (en) * | 2015-03-18 | 2015-06-03 | 常熟开关制造有限公司(原常熟开关厂） | Closed-loop screening method for power parallel conversion device and power parallel conversion device |
| CN105429137A (en) * | 2015-12-09 | 2016-03-23 | 云南电网有限责任公司红河供电局 | Distribution network loop closing power supply switching method |
| US20180278040A1 (en) * | 2017-03-21 | 2018-09-27 | Shanghai Fudan Microelectronics Group Company Limited | Ground Fault Protection System |
| CN110445108A (en) * | 2019-07-31 | 2019-11-12 | 云南电网有限责任公司瑞丽供电局 | A kind of cyclization tune electric protection control method improving power supply reliability |
| KR20220059058A (en) * | 2020-11-02 | 2022-05-10 | 광주과학기술원 | Protection apparatus for closed loop power distribution system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117439033B (en) | 2024-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Liu et al. | The control and analysis of self-healing urban power grid | |
| CN102938588B (en) | Intelligent power grid safety and stability early-warning and control system | |
| RU2525859C2 (en) | Controlling power outage and faulty state of electrical power system | |
| CN103441572B (en) | Substation equipment method for supervising | |
| CN111277048B (en) | System and method for controlling wide area coordinated operation of electric power system | |
| CN103872681A (en) | Online real-time loop closing method based on integration of major network and distribution network | |
| CN102931727A (en) | Topological anti-error check method of power dispatching master station type integrated intelligent anti-error system | |
| CN105244865A (en) | Power system safe and stable operation control method | |
| CN105425768A (en) | Electric power secondary equipment monitoring device and method | |
| CN103560590A (en) | Power grid intelligent dispatching framework and achieving method thereof | |
| CN108512222A (en) | A kind of intelligent substation complex automatic system | |
| CN111327468A (en) | Operation method and system for edge computing platform of power system | |
| CN112234587A (en) | Power distribution network relay protection fixed value checking and evaluating method and system | |
| KR20190119207A (en) | An artificial intelligence-based parameter setting value automatic calculation protection relays | |
| CN115395643A (en) | Low-voltage distribution network fault early warning positioning device and system based on full data acquisition and state perception | |
| CN112165100B (en) | Power grid over-supply power online control method and equipment | |
| CN114142614A (en) | Highway power distribution room intelligent operation and maintenance management system based on SD-WAN network | |
| CN117439033B (en) | System for preventing loop closing misoperation based on real-time data of transformer substation | |
| CN113964816A (en) | Analysis method for distribution network feeder line fault self-healing rate | |
| CN108539740B (en) | Power grid accident forecast simulation system and method thereof | |
| Yunus et al. | Reliability and availability study on substation automation system based on IEC 61850 | |
| CN105337257A (en) | Adaptive method for realizing substation area protection fixed value based on center server | |
| CN117498351B (en) | Full-model simulation system based on real-time data of power grid and used for loop closing control | |
| CN112799363A (en) | Intelligent electrical monitoring management system for layered and partitioned energy station | |
| CN117335578B (en) | Detection and regulation system for loop closing power conversion of low-voltage power distribution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |