CN113189451A

CN113189451A - Power distribution network fault positioning studying and judging method, system, computer equipment and storage medium

Info

Publication number: CN113189451A
Application number: CN202110593164.XA
Authority: CN
Inventors: 余永胜; 刘思明; 李俊伟; 康林春; 张亮芬; 潘堋; 闫文棋
Original assignee: Kunming Power Supply Bureau of Yunnan Power Grid Co Ltd
Current assignee: Kunming Power Supply Bureau of Yunnan Power Grid Co Ltd
Priority date: 2021-05-28
Filing date: 2021-05-28
Publication date: 2021-07-30
Anticipated expiration: 2041-05-28
Also published as: CN113189451B

Abstract

The application relates to a method, a system, computer equipment and a storage medium for studying and judging fault location of a power distribution network. The method comprises the following steps: and acquiring output information of different correlation systems, and performing data fusion processing on each output information to obtain fault study and judgment data. Based on the topological structure of the main distribution network, fault study and judgment data are subjected to hierarchical fault study and judgment to generate corresponding fault study and judgment results, the fault type and the fault area of the distribution network are determined according to the fault study and judgment results, and corresponding alarm information is generated. According to the method, the outputs of a plurality of different correlation systems are collected for fusion and integration, more comprehensive fault study and judgment data can be obtained, and further, when hierarchical fault study and judgment are carried out according to the comprehensive fault study and judgment data, more accurate fault study and judgment results can be obtained, so that the fault position can be quickly positioned, the emergency repair measures can be matched for quick emergency repair, the fault repair efficiency of the power distribution network can be improved, and the fault quick recovery of the power distribution network can be realized.

Description

Power distribution network fault positioning studying and judging method, system, computer equipment and storage medium

Technical Field

The application relates to the technical field of power engineering, in particular to a method, a system, computer equipment and a storage medium for studying and judging fault location of a power distribution network.

Background

With the development of power engineering technology and the improvement of economic level and living standard, the demands of people on the power supply reliability and the power supply quality of a power distribution network are increasingly increased. In order to ensure good power supply reliability and power supply quality, attention needs to be paid to the operation state of a power system of the power distribution network, fault diagnosis is carried out on the operation process of the power distribution network, the fault is found in time, and then rapid recovery after the fault of the power distribution network is realized.

The power distribution network fault diagnosis is a device for identifying the location, type, and malfunction of a fault element by using extensive knowledge about a power system and its protection devices and fault information such as relay protection. Conventionally, fault diagnosis is often implemented by using a method based on switching values or analog values, wherein the method mainly performs modeling analysis according to the action information of the protection and the circuit breaker, and the method mainly performs modeling and analysis according to analog electrical values such as current, voltage, and power measured by various monitoring devices.

However, most of the conventional diagnosis methods are directed to a power transmission network, and are focused on using local information of a single diagnosis object, and considering that the structure in a power distribution network is complex and changeable, branches are numerous, the automation degree of the power distribution network is different, a large number of uncertain factors exist, the integrity of information is influenced, and therefore fault diagnosis cannot be performed according to comprehensive power distribution network information. Therefore, when multiple faults occur, a large number of fault elements and non-fault elements exist in a power failure area, switch protection can be rejected or mistakenly operated, the fault is easily interfered and researched, the fault type of the power distribution network cannot be accurately known, the positions of different faults cannot be accurately analyzed, the fault repairing efficiency of the power distribution network is low, and quick recovery after the fault of the power distribution network cannot be guaranteed.

Disclosure of Invention

Therefore, it is necessary to provide a power distribution network fault location research and judgment method, a system, a computer device, and a storage medium, which can improve the power distribution network fault repair efficiency to ensure fast recovery after a power distribution network fault.

A method for studying and judging fault location of a power distribution network, the method comprising the following steps:

acquiring output information of different correlation systems, and performing data fusion processing on the output information to obtain fault study and judgment data;

based on the topological structure of the main and distribution network, carrying out hierarchical fault study and judgment on the fault study and judgment data to generate a corresponding fault study and judgment result;

and determining the fault type and the fault area of the power distribution network according to the fault studying and judging result, and generating corresponding alarm information.

In one embodiment, the performing hierarchical fault diagnosis on the fault diagnosis data based on the topology of the main network and the distribution network to generate corresponding fault diagnosis results includes:

acquiring preset levels corresponding to the topological structures of the main and distribution networks and judging logics corresponding to the preset levels;

and according to the study and judgment logic and the preset signal priority corresponding to each preset level, carrying out hierarchical fault study and judgment on the fault study and judgment data to generate a corresponding fault study and judgment result.

In one embodiment, the performing hierarchical fault diagnosis on the fault diagnosis data according to the diagnosis logic corresponding to each of the preset hierarchies and the preset signal priority to generate a corresponding fault diagnosis result includes:

judging whether a correlation signal corresponding to the discrete power failure signal of the preset level exists or not according to the judging logic corresponding to the preset level;

when determining that the associated signals corresponding to the discrete power failure signals of the preset level exist, grouping the associated signals according to the associated signals and corresponding preset signal priorities;

and carrying out topology analysis according to the group of the associated signals and the topological structure of the main and distribution network to generate a corresponding fault studying and judging result.

In one embodiment, the group of associated signals includes a power off signal for the entire line; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

detecting signals and switch opening states in the station;

determining whether a power failure signal of the whole line exists or not according to the in-station signal and the switch opening state;

when the power failure signal of the whole line is determined to exist, acquiring the feeder automation coverage rate based on the topological structure of the main distribution network;

and when the feeder automation coverage rate is determined to reach a preset threshold value, carrying out topology analysis according to the whole line power failure signal and the main distribution network topology structure, and generating a corresponding fault research and judgment result.

In one embodiment, the group of associated signals includes a feeder outage signal; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

monitoring a road level signal state, and determining a power distribution network switch action state according to the road level signal state;

performing in-station signal matching according to the switching action state of the power distribution network;

when the in-station signal matched with the feeder line power failure signal exists, judging whether other branch signals related to the feeder line power failure signal exist or not;

and when determining that other branch signals associated with the feeder line power failure signal do not exist, acquiring the associated station area branch signal, and performing topology analysis based on the main and distribution network topological structure according to the feeder line power failure signal and the station area branch signal to generate a corresponding fault study and judgment result.

In one embodiment, the group of associated signals includes a station branch line power down signal; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

monitoring a platform area branch line power failure signal in real time, and performing grouping traversal on the platform area branch line power failure signal according to preset feeder line groups to generate a first power failure rate corresponding to each preset feeder line group;

when the first power loss rate is smaller than a first preset threshold value, traversing the zone branch power failure signals according to preset zone branch line groups to generate second power loss rates corresponding to the preset zone branch line groups;

when the second power loss rate is larger than a second preset threshold value, acquiring telemetering data of the associated distribution transformer;

and performing topology analysis based on the main and distribution network topology structure according to the telemetering data and the power failure signal of the branch line of the distribution area, and generating a corresponding fault research and judgment result.

In one embodiment, the method further comprises:

performing preliminary study and judgment according to the fault study and judgment data to generate a corresponding preliminary study and judgment result;

when the preliminary judging result is determined not to meet the preset judging requirement, acquiring a related preset level signal;

generating a new evidence according to the associated preset level signal, and performing evidence redistribution and evidence fusion on the new evidence according to the evidence probability to generate a corresponding evidence fusion result;

generating a corresponding decision result according to the preliminary study and judgment result and the evidence fusion result;

checking the decision result sum according to a preset theoretical signal to generate a corresponding checking result;

and generating a corresponding fault research and judgment result according to the checking result.

A power distribution network fault location study and judgment system, the system comprising:

the fault studying and judging data generating module is used for acquiring output information of different correlation systems and carrying out data fusion processing on the output information to obtain fault studying and judging data;

the fault research and judgment result generation module is used for carrying out hierarchical fault research and judgment on the fault research and judgment data based on the topological structure of the main distribution network and generating a corresponding fault research and judgment result;

and the alarm information generation module is used for determining the fault type and the fault area of the power distribution network according to the fault research and judgment result and generating corresponding alarm information.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

According to the method, the system, the computer equipment and the storage medium for studying and judging the fault location of the power distribution network, the output information of different correlation systems is collected, data fusion processing is carried out on the output information to obtain fault studying and judging data, then the fault studying and judging data are subjected to hierarchical fault studying and judging based on the topological structure of the main distribution network to generate corresponding fault studying and judging results, the fault type and the fault area of the power distribution network are determined according to the fault studying and judging results, and corresponding alarm information is generated. Because the outputs of a plurality of different correlation systems are collected for fusion and integration, more comprehensive fault study and judgment data can be obtained, and then more accurate fault study and judgment results can be obtained when hierarchical fault study and judgment are carried out according to the comprehensive fault study and judgment data, so that the fault position can be quickly positioned, the emergency repair measures can be matched for quick emergency repair, the fault repair efficiency of the power distribution network can be improved, and the fault quick recovery of the power distribution network can be realized.

Drawings

FIG. 1 is a diagram illustrating an exemplary embodiment of a method for locating and evaluating faults in a power distribution network;

FIG. 2 is a schematic flow chart illustrating a method for determining fault location of a power distribution network according to an embodiment;

FIG. 3 is a flow diagram illustrating processing of output information by the association system in one embodiment;

FIG. 4 is a diagram illustrating intranet and extranet data interaction in one embodiment;

FIG. 5 is a schematic diagram illustrating a master network model assembly according to an embodiment;

FIG. 6 is a flow diagram illustrating generation of corresponding fault evaluation results according to one embodiment;

FIG. 7 is a schematic flow chart illustrating the generation of corresponding fault diagnosis results according to another embodiment;

FIG. 8 is a schematic flow chart illustrating the generation of corresponding fault diagnosis results according to another embodiment;

FIG. 9 is a flowchart illustrating a method for generating a corresponding fault diagnosis result according to yet another embodiment;

FIG. 10 is a schematic flow chart illustrating a method for determining fault location of a distribution network according to another embodiment;

FIG. 11 is a block diagram of a system for locating and evaluating faults in a power distribution network according to an embodiment;

FIG. 12 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The method for studying and judging the fault location of the power distribution network can be applied to the application environment shown in fig. 1. Wherein the terminal 102 and the server 104 communicate via a network. The server 104 acquires output information of different correlation systems, performs data fusion processing on the output information to obtain fault study and judgment data, and further performs hierarchical fault study and judgment on the fault study and judgment data based on the topological structure of the main and distribution networks to generate corresponding fault study and judgment results. According to the fault study and judgment result, the fault type and the fault area of the power distribution network are determined, corresponding alarm information is generated, and the generated alarm information is sent to the terminal 102. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.

In an embodiment, as shown in fig. 2, a method for studying and determining fault location of a power distribution network is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:

step S202, collecting output information of different correlation systems, and performing data fusion processing on each output information to obtain fault study and judgment data.

Specifically, the output information of different associated systems can be acquired through a database connection mode, an interface acquisition mode (including active acquisition and pushing), an SOA bus (service oriented architecture bus) interaction mode, an SFTP file download mode (secure file transfer protocol), and the like. The correlation systems can comprise a main network OCS, a distribution network automation system, a metering automation system, a marketing system, a GIS and production system, an internet map and the like, and output information of the correlation systems is stored in a distribution network OMS system to serve as an input data source of a fault study and judgment algorithm.

Furthermore, data such as the displacement reclosing of the outgoing line switch, current, voltage and the like can be acquired from the main network OCS system, and the slave power distribution automation system: the line switch shifts, the current, the voltage and other data, the distribution transformer, the transformer area, the user meter voltage loss alarm and other data are obtained from the metering automation system, and the real-time calling service provided by the line switch is called. The method comprises the steps of obtaining data such as customer fault reporting, user arrearage power failure, user change relations and user numbers from a marketing system, obtaining data such as lines and equipment account data from a production system, obtaining data such as lines, equipment geographic positions and topological relations from an integrated GIS system, and obtaining longitude and latitude coordinate positioning data of a user from an internet map.

The main network OCS provides data such as a station feeder switch tripping signal, an alarm protection signal, voltage, current and power information at the outlet of a 10kV feeder line, and the like, and has the highest reliability and real-time performance, but the range is limited, and only electric quantities such as the switch tripping signal, the voltage and the current at the outlet of the feeder line station are covered. Distribution automation system provides the tripping operation of circuit intelligence switch, alarm signal and voltage electric current signal, but whole coverage is limited, even to the circuit that covers, intelligent terminal's such as FTU (feeder terminal equipment), DTU (switching station, looped netowrk cabinet terminal equipment) or fault indicator quantity is also comparatively limited, is difficult to accomplish every segmentation and all covers, in signal quality, has the line rate height of falling, the high scheduling problem of misstatement rate. The information in the metering automation system comprises distribution transformer voltage loss alarm signals, voltage, current, active power and other electrical signals provided by a distribution transformer monitoring terminal, and voltage loss and metering information of a user intelligent electric meter, and although the user is completely covered, the relation of station-line-variable-user during fault research and judgment is still difficult to accurately match due to incomplete data of the relation of user-variable. And the metering system emphasizes the function of passively receiving the periodic state and information uploading of each terminal, and as for the user intelligent electric meter, data can be updated only once in about 20 minutes, so that the timeliness is relatively poor.

Further, after the output information of each associated system needs to be integrated into the distribution network OMS, the integrated output information is further acquired based on the distribution network OMS, and data fusion processing and data preprocessing are performed based on the output information to obtain fault study and judgment data. Because the output information of each associated system is considered at the same time, the fault study and judgment are not directly carried out aiming at the output information of a single system, and the problem of limited coverage range of the data of each associated system can be further avoided.

The data fusion processing and the data preprocessing are performed on the output information, and may include data processing means such as data deduplication processing, abnormal value deletion processing, missing value processing, data attribute coding, and data normalization and regularization.

In one embodiment, the basic principle of distribution network "station-line-change-user" topological relation identification and verification based on voltage waveform similarity is as follows: the voltage curve fluctuation similarity of the voltage monitoring points with the closer electrical distances is higher, and the voltage curve fluctuation similarity of the monitoring points with the farther electrical distances is lower. According to the principle, the topological relation of 'station-line-change-user' of the distribution network can be identified and verified through voltage waveform similarity analysis and by combining with existing data such as the standing book and the like.

Further, the power distribution network 'household-variation' relation identification and verification steps are as follows:

1) determining a transformer area A to be verified, and calling a voltage curve of the transformer A of the transformer area and the voltage curve of each user in the last 30 days from a user information system;

2) selecting a certain transformer B near the transformer A to be verified, and calling a voltage curve of the transformer B and the voltage curve of each user powered by the transformer B in the last 30 days from a user information system;

3) dividing voltage curves of the transformer A and the transformer B into 360 time intervals, wherein each time interval corresponds to 2 hours;

4) calculating the correlation coefficient of the voltage curve of the transformer A and the voltage curve of the transformer B in each period by using a Pearson correlation coefficient method;

5) selecting 5 time intervals with the minimum correlation coefficient, and extracting voltage curves of each user of the transformer A and the transformer B in the 5 time intervals;

6) then, carrying out correlation analysis of the user voltage and the transformer voltage by using a Pearson correlation coefficient method; if a certain user x exists in the transformer area A to be verified, the correlation coefficient between the voltage of the user x and the voltage of the transformer A is smaller than the correlation coefficient between the voltage of the user x and the voltage of the transformer B, and the user variation relation of the transformer area A is judged to be wrong; if a certain user y exists in the transformer area B, the correlation coefficient between the voltage of the certain user y and the voltage of the transformer A is larger than the correlation coefficient between the voltage of the certain user y and the voltage of the transformer B, and the user variation relation of the transformer area A is judged to have an error;

8) selecting other transformers near the transformer A to be verified, and verifying the user-variable relationship by adopting the same method; if the 'home-to-change' relation is not found to be wrong, the 'home-to-change' relation of the power supply area of the transformer A is correct.

For two voltage time series U_A(k)、U_B(k) k is 1,2,3, …, N. The Pearson correlation coefficient lambda thereof is defined as shown in formula (1):

wherein the content of the first and second substances,

respectively represent the sequence U_X(k) And U_Y(k) Is measured.

In one embodiment, the output information of each correlation system is shown in table 1:

TABLE 1

In an embodiment, as shown in fig. 3, an output information processing flow of an association system is provided, and as can be known from fig. 3, the association system includes a major network OCS system, a distribution network automation system, a metering automation system, a marketing system, a production system, a GIS system, and the like, by integrating and storing output information of the association systems into a distribution network OMS system, further acquiring the integrated output information based on the distribution network OMS system, performing multi-system data fusion processing and data preprocessing based on the output information to obtain fault study and judgment data, studying and judging through a fault location study and judgment algorithm to produce corresponding distribution network fault location study and judgment results, storing the corresponding distribution network fault location study and judgment results into a data center, further analyzing the distribution network fault location study and judgment results through the data center, rapidly locating faults, and rapidly performing matching emergency repair measures, and meanwhile, corresponding warning information is sent to the user terminal.

In an embodiment, as shown in fig. 4, an internal and external network data interaction schematic diagram is provided, and as can be seen from fig. 4, because strong isolation is required between an information external network and an information internal network, it is further ensured that information internal network data is not leaked to the external network, and a network attack path from the internet is cut off, a virus propagation path is blocked, hacking attacks such as information eavesdropping and information tampering are prevented, it is ensured that key application systems and important data of the information internal network are not compromised by security from the internet, and under the condition that information security of the internal network is ensured, a data security exchange function between the information external network and the information internal network is provided for an application system, that is, data exchange between the internal network and each associated system is realized.

Further, a multi-level data exchange safety control and network isolation defense system between the internet and the information intranet is established through safety technical means such as network isolation, safety access control, information ferrying, content safety filtering and safety auditing, various network attacks on the internet are resisted, and the safety of the information intranet is ensured.

Referring to fig. 4, after the separation of the internal network and the external network is realized, the longitude and latitude acquired by the internet map are required to be transmitted to the internal network of the power grid from the external network in an encryption mode and the like, so that the fusion of the coordinates of the external network and the WebGIS system positioned in the internal network is ensured. The information transmission provides four data security exchange channels, which are respectively: a first channel implemented by the application data security exchange gateway, i.e. the structured data channel, a second channel implemented by the application data security exchange gateway, i.e. the unstructured data exchange channel, a third channel implemented by the custom protocol security exchange gateway, i.e. the custom protocol data exchange channel, and a fourth channel implemented by the high-strength security exchange gateway, i.e. the high-strength data exchange channel.

And step S204, carrying out hierarchical fault study and judgment on the fault study and judgment data based on the topological structure of the main distribution network, and generating a corresponding fault study and judgment result.

Specifically, by acquiring preset levels corresponding to the topology structure of the main distribution network and study and judgment logics corresponding to the preset levels, fault study and judgment data are subjected to hierarchical fault study and judgment according to the study and judgment logics corresponding to the preset levels and preset signal priorities, and corresponding fault study and judgment results are generated.

The power failure event is classified into a deterministic event and an undetermined event, and the power failure event is analyzed and judged according to the priority hierarchy, wherein the first preset hierarchy corresponds to the deterministic power failure event, and the second preset hierarchy corresponds to the undetermined power failure event. The deterministic power failure event refers to fault power failure, planned power failure, temporary power failure, arrearage power failure and the like, the studying and judging logic of the deterministic event is set to be a first preset level, and the logic is not actively associated with the bottom studying and judging result and is only positioned in passive association. And the non-deterministic power failure event comprises a power failure signal in real time in the power distribution area and a power failure event in the power distribution area associated with a customer failure report work order, and the most relevant power failure event and suspected event can be automatically searched from a power failure event pool according to the rapid matching of incomplete information corresponding to a second preset level, and whether the signal is an associated sub-signal in a certain deterministic event or not is judged.

Further, the signal priority is specifically designed such that the in-station signal alarm information is prioritized over the feeder level, the feeder level alarm information is prioritized over the station level, and the priority of the station level is that the distribution transformation signal with higher reliability is prioritized over the user level failure reporting information. For example, when the system can complete fault research and judgment by combining substation level and feeder level alarm information, the transformer area level information does not need to be correlated. And after the event is finalized, checking a theoretical distribution area power-off signal set and an actual distribution area power-off signal set, and supporting distribution area signal regulation and credibility portrait modeling.

The processing logic for carrying out hierarchical fault study and judgment on the fault study and judgment data runs relatively independently, the upper layer study and judgment result needs to be considered when the lower layer study and judgment data is analyzed according to the hierarchy and the priority, the upper layer study and judgment does not need to be associated with the lower layer signal or the study and judgment result under the condition that the signal is relatively complete, verification is matched among the layers, and the power failure property and the fault interval are analyzed according to the priority of the criterion.

In an embodiment, as shown in fig. 5, a schematic diagram of splicing a main network and a distribution network model is provided, and as can be seen from fig. 5, the basis of splicing the main network and the distribution network model is that two ends of the main network and the distribution network need to have a common boundary, that is, the EMS main network model uses a 10kV outgoing switch as a terminal boundary, and the distribution network uses a 10kV outgoing switch as a starting point. Compared with an EMS main network model, the distribution network feeder line is equivalent to an equivalent load and belongs to a single-terminal device, the distribution network system model is equivalent to a single-terminal number of a substation outgoing cable or an overhead line, the equivalent terminal number of the main network load is adopted, and the equivalent process is a splicing process.

Referring to fig. 5, it can be known that, after the maintenance work is completed on the EMS main network model, by searching for the matching distribution network model boundary device in the distribution network system model, if the boundary device is found, it is indicated that there is a distribution network device that needs to be spliced with the current plant station model, otherwise, it is indicated that no distribution network model needs to be spliced with the distribution network model in the system, and the EMS main network model is incrementally updated. And after the EMS main network model updates the system increment, marking the matched distribution network system model, and updating the node number of one end of the distribution network equipment connected with the boundary equipment. And when the distribution network system model is changed, modeling is carried out again on the basis of the boundary equipment. In order to shield the influence of frequent change of a distribution network system model on the whole network model, dynamic checking methods such as measurement balance analysis, telesignaling and telemetering consistency check and the like are adopted in design to ensure the state of the main distribution model boundary equipment and the correctness of measurement data. The distribution network system model comprises a GIS/PMS distribution network model and a voltage transformer area valve.

And step S206, determining the fault type and the fault area of the power distribution network according to the fault studying and judging result, and generating corresponding alarm information.

Specifically, the fault studying and judging result is further analyzed to determine the fault type of the power distribution network, such as different types of power failure of the whole line fault, power failure of a feeder line signal, power failure of a station area signal, planned power failure, temporary power failure and the like, and the fault studying and judging result is obtained by studying and judging the faults in a layered and graded mode based on the topological structure of the main distribution network, so that layered and graded judgment can be performed, the most possible tripping position can be further determined while the fault type of the power distribution network is obtained, and the fault area can be positioned.

And further, after the fault type and the fault area of the power distribution network are obtained by further analyzing according to the fault study and judgment result, corresponding alarm information is generated based on the fault type and the fault area of the power distribution network and is sent to a user terminal or a data center to inform a user of the specific fault condition, and meanwhile, the data center can further match emergency repair measures to carry out rapid emergency repair based on the alarm information, so that the purpose of rapidly recovering the fault of the power distribution network is achieved.

According to the method for studying and judging the fault location of the power distribution network, the output information of different correlation systems is collected, data fusion processing is carried out on the output information to obtain fault studying and judging data, then the fault studying and judging data are subjected to hierarchical fault studying and judging based on the topological structure of the main distribution network, corresponding fault studying and judging results are generated, the fault type and the fault area of the power distribution network are determined according to the fault studying and judging results, and corresponding alarm information is generated. Because the outputs of a plurality of different correlation systems are collected for fusion and integration, more comprehensive fault study and judgment data can be obtained, and then more accurate fault study and judgment results can be obtained when hierarchical fault study and judgment are carried out according to the comprehensive fault study and judgment data, so that the fault position can be quickly positioned, the emergency repair measures can be matched for quick emergency repair, the fault repair efficiency of the power distribution network can be improved, and the fault quick recovery of the power distribution network can be realized.

In an embodiment, as shown in fig. 6, the step of generating the corresponding fault studying and judging result, that is, the step of performing hierarchical fault studying and judging on the fault studying and judging data according to the studying and judging logic corresponding to each preset hierarchy and the preset signal priority, and generating the corresponding fault studying and judging result specifically includes:

step S602, determining whether there is a correlation signal corresponding to the discrete power failure signal of the preset level according to the judging logic corresponding to the preset level.

Specifically, the preset levels include a first preset level corresponding to a deterministic power failure event and a second preset level corresponding to a non-deterministic power failure event, wherein the judging logic corresponding to the first preset level is not actively associated with the layer judging result of the second preset level, and is only positioned in a passive association, i.e. passively receives the corresponding judging result from the second preset level. And the judging logic corresponding to the second preset level is used for automatically searching the most relevant power failure events and suspected events from the power failure event pool according to the rapid matching of the incomplete information, and judging whether the signals are relevant sub-signals in a certain deterministic event or not.

Step S604, when it is determined that there is an associated signal corresponding to the discrete power outage signal at the preset level, grouping the associated signals according to the associated signal and the corresponding preset signal priority.

The signal priority is specifically designed to be that in-station signal alarm information is prior to a feeder level, feeder level alarm information is prior to a station level, and the priority of the station level is that a distribution signal with higher reliability is prior to user level failure reporting information, that is, the preset signal priority includes a first signal priority corresponding to an in-station signal, a second signal priority corresponding to a feeder level signal, a third signal priority corresponding to a station level signal, and a fourth signal priority corresponding to user level guarantee information.

Specifically, when determining that the associated signals corresponding to the discrete power failure signals of the preset hierarchy exist, grouping the associated signals according to the associated signals and corresponding preset signal priorities, and obtaining a group of the associated signals. The group of the associated signals comprises a whole line power failure signal, a feeder line power failure signal and a station area branch line power failure signal.

And step S606, performing topology analysis according to the group of the associated signals and the topological structure of the main distribution network, and generating a corresponding fault studying and judging result.

Specifically, the step-by-step topology analysis is performed based on the topology structure of the main and distribution network and the group of associated signals, such as a power failure signal of the whole line, a power failure signal of a feeder line, or a power failure signal of a branch line of the distribution area. The method is based on a main distribution network topological structure, and areas with wide range and small range are analyzed step by step, so that the method can be used for judging whether the power failure of the whole line or the power failure of the branch line or the power failure of the transformer area step by step, and further generating a corresponding fault research and judgment result. The power distribution network fault types in the fault study and judgment result can comprise different types such as whole line fault power failure, feeder line signal power failure, distribution area signal power failure, planned power failure and temporary power failure.

Further, whether a related signal exists in the hierarchy is inquired according to the discrete power failure signal, then signal grouping is carried out according to the feeder line and the branch line, whether the whole line has power failure or the branch line has power failure is judged, the most possible tripping position is analyzed in an inference mode, and then the fault area is located. When the in-station signal and the feeder line signal are missing or the line is not covered by the automatic terminal temporarily, the deterministic power failure event cannot be associated directly, and the full-logic power failure event study and judgment cannot be completed. At this time, the most possible tripping position can be inferred only by the station zone level signal and by combining with the static association relation topological analysis of the branch line and the distribution transformer.

In some extreme cases, manual verification of the authenticity and blackout nature of the non-deterministic event is required. If a branch line fails and no breaker is arranged upstream, a whole line fault can be caused, the event is classified as a whole line fault power failure, and the branch line fault power failure only needs to consider the condition that the breaker is arranged upstream. In order to ensure that the accuracy of the reverse analysis of the station-level signals is not affected by the false alarm and missing report of the signals, it is necessary to combine with the real-time measurement and other recorded telemetering data to assist in the study and judgment. When the condition that an automatic terminal uploads a switch opening signal in real time is lacked, planned power failure and unplanned power failure of a branch line can be only judged, the judgment of temporary power failure and fault power failure can be only carried out through manual secondary maintenance, and the correlation record of the power failure property needs to be maintained manually, so that the method can be used for providing service data support for automatic construction project decision making.

In this embodiment, when it is determined that there is an associated signal corresponding to a discrete power failure signal of a preset level according to a study and judgment logic corresponding to the preset level, the associated signals are grouped according to the associated signal and a corresponding preset signal priority, and then topology analysis is performed according to the group of the associated signals and the topology structure of the main distribution network, so as to generate a corresponding fault study and judgment result. Because comprehensive fault studying and judging data is combined to conduct layered and graded fault studying and judging, a more accurate fault studying and judging result can be obtained step by step, therefore, quick positioning of fault positions and matching of rush repair measures are achieved to conduct quick rush repair, the fault repairing efficiency of the power distribution network is improved, and quick recovery of the power distribution network is achieved.

In an embodiment, as shown in fig. 7, the step of generating a corresponding fault studying and judging result, that is, the step of performing topology analysis according to the group of the associated signals and the topology structure of the main network and the distribution network to generate a corresponding fault studying and judging result specifically includes the following steps:

step S702, detecting signals in the station and the opening state of the switch.

Specifically, the group of the related signals comprises a whole line power failure signal, and whether the whole line power failure signal exists can be determined by detecting the signal in the station and the opening state of the switch.

Step S704, determining whether there is a power failure signal of the whole line according to the signal in the station and the switch opening state.

Specifically, the station signal comprises a station internal protection signal and a station internal non-protection signal, and when the station internal signal is the station internal protection signal, the existence of the whole line power failure signal can be determined according to the switching-off state of the switch.

When the in-station signal is missing, namely the in-station signal is an in-station unprotected signal, the maintenance plan needs to be further matched, if the matching is successful, the current power distribution network fault type can be determined to be planned power failure, and if the matching is not successful, the current power distribution network fault type is temporary power failure.

Step S706, when it is determined that a power outage signal of the whole line exists, the feeder automation coverage rate is obtained based on the topological structure of the main distribution network.

Specifically, when it is determined that a power outage signal of the whole feeder exists, the feeder automation coverage rate is further acquired based on the topological structure of the main distribution network, and whether the feeder automation coverage rate reaches a preset threshold value is further judged. The preset threshold value can be 100%, namely when the feeder automation coverage rate reaches 100% of the preset threshold value, the feeder achieves full automation coverage.

And step S708, when the feeder automation coverage rate is determined to reach the preset threshold, performing topology analysis according to the whole line power failure signal and the topological structure of the main distribution network, and generating a corresponding fault research and judgment result.

Specifically, when the feeder automation coverage rate is determined to reach a preset threshold value, that is, the feeder achieves full automation coverage, the correlation signal is further acquired, topology analysis is performed according to the correlation signal, that is, a power failure signal of the whole feeder, based on the topological structure of the main and distribution networks, and a corresponding fault study and judgment result is generated.

In one embodiment, when the automatic coverage rate of the feeder line does not reach a preset threshold value, that is, when the feeder line does not realize full automatic coverage, a station area level signal can be further obtained, further topology analysis is performed according to the station area level signal and a power failure signal of the whole line based on the topological structure of the main distribution network, the fault type and the fault area of the distribution network are judged, and a corresponding fault research and judgment result is obtained.

In this embodiment, whether a power failure signal of the whole line exists is determined by detecting an in-station signal and a switch opening state and according to the in-station signal and the switch opening state. And when the existence of the whole line power failure signal is determined, acquiring the automatic coverage rate of the feeder line based on the topological structure of the main distribution network, and further performing topological analysis according to the whole line power failure signal and the topological structure of the main distribution network when the fact that the automatic coverage rate of the feeder line reaches a preset threshold value is determined, so as to generate a corresponding fault studying and judging result. The method and the device realize layered and graded fault studying and judging by combining comprehensive fault studying and judging data, and can obtain more accurate fault studying and judging results step by step, thereby realizing rapid positioning of fault positions and matching of rush repair measures for rapid rush repair, improving the fault repair efficiency of the power distribution network, and achieving rapid recovery of the power distribution network faults.

In an embodiment, as shown in fig. 8, the step of generating a corresponding fault studying and judging result, that is, the step of performing topology analysis according to the group of the associated signals and the topology structure of the main network and the distribution network to generate a corresponding fault studying and judging result specifically includes the following steps:

and S802, monitoring the state of the road level signal, and determining the switching action state of the power distribution network according to the state of the road level signal.

Specifically, the group of the associated signals comprises feeder line power failure signals, and when the associated signals are the feeder line power failure signals, the switching action state of the power distribution network is determined according to the state of the road level signals by monitoring the state of the road level signals. The power distribution network switch action state and whether the protection action exists can be determined by monitoring the road level signal.

In an embodiment, when it is determined that there is no protection action, a maintenance plan needs to be further matched, that is, whether there is a maintenance plan matched with the current feeder line power failure signal or not exists, if it is determined that there is no maintenance plan matched with the current feeder line power failure signal, the current power distribution network fault type is temporary power failure, otherwise, if there is a maintenance plan matched with the current feeder line power failure signal, the current power distribution network fault type is determined to be planned power failure.

And step S804, performing in-station signal matching according to the switching action state of the power distribution network.

Specifically, when the power distribution network switching action state is determined to have the protection action according to the road level signal state, the in-station signal matching is carried out according to the power distribution network switching action state, namely whether the in-station signal matched with the current power distribution network switching action state exists or not is determined.

And whether a fault indicator indicates overcurrent card turning can be further determined according to the state of the road level signal by monitoring the state of the road level signal. When the fault indicator indicates overcurrent turnover, the station signal matching is further carried out according to the switching action state of the power distribution network.

Step S806, when it is determined that there is an in-station signal matching the feeder line outage signal, determines whether there is another branch signal associated with the feeder line outage signal.

Specifically, when it is determined that there is an in-station signal matching the feeder line outage signal, it is further determined whether there is another branch signal associated with the feeder line outage signal, and if there is no other branch signal associated with the feeder line outage signal, the station area branch signal associated with the feeder line outage signal is further acquired.

And further, other branch signals related to the feeder line power failure signal exist, and topology analysis is carried out according to the related other branch signals and the current feeder line power failure signal and based on the topological structure of the main network and the distribution network to generate a corresponding fault research and judgment result.

Step S808, when it is determined that no other branch signal associated with the feeder line power failure signal exists, acquiring the associated station area branch signal, and performing topology analysis based on the main and distribution network topology structure according to the feeder line power failure signal and the station area branch signal to generate a corresponding fault study and judgment result.

Specifically, when it is determined that no other branch signal associated with the feeder line power failure signal exists, a station area branch signal associated with the current feeder line power failure signal is obtained, topology analysis is performed according to the feeder line power failure signal and the station area branch signal and based on the main distribution network topology structure, and a corresponding fault study and judgment result is generated.

In the embodiment, the switching action state of the power distribution network is determined by monitoring the road level signal state and according to the road level signal state, and then the in-station signal matching is performed according to the switching action state of the power distribution network. When the in-station signal matched with the feeder line power failure signal is determined to exist and other branch signals related to the feeder line power failure signal are determined not to exist, the related station area branch signal is obtained, topology analysis is further carried out according to the feeder line power failure signal and the station area branch signal and based on the main distribution network topology structure, and a corresponding fault study and judgment result is generated. The method and the device realize layered and graded fault studying and judging by combining comprehensive fault studying and judging data, and can obtain more accurate fault studying and judging results step by step, thereby realizing rapid positioning of fault positions and matching of rush repair measures for rapid rush repair, improving the fault repair efficiency of the power distribution network, and achieving rapid recovery of the power distribution network faults.

In an embodiment, as shown in fig. 9, the step of generating a corresponding fault studying and judging result, that is, the step of performing topology analysis according to the group of the associated signals and the topology structure of the main network and the distribution network to generate a corresponding fault studying and judging result specifically includes the following steps:

step S902, monitoring the power failure signals of the branch lines of the distribution area in real time, and traversing the power failure signals of the branch lines of the distribution area in groups according to preset feeder groups to generate first power failure rates corresponding to the preset feeder groups.

Specifically, by detecting the station branch line power failure signals in real time and performing grouping traversal on the station branch line power failure signals according to the preset feeder groups, the power loss station area occupation ratio of different preset feeder groups within a preset time period threshold is obtained, and the first power loss rate corresponding to each preset feeder group is obtained.

Step S904, when the first power loss rate is smaller than the first preset threshold, traversing the station area branch power outage signal according to the preset station area branch line groups, and generating a second power loss rate corresponding to each preset station area branch line group.

Specifically, the first preset threshold may be 70%, and when the power-loss station area occupation ratio of different preset feeder groups within the preset time period threshold, that is, the first power loss rate, is smaller than 70% of the first preset threshold, the branch line power failure signal of the station area is further traversed according to the preset station area branch line grouping, that is, the power-loss station area occupation ratio of different preset station area branch line groups within the preset time period threshold is obtained, that is, the second power loss rate corresponding to each preset station area branch line grouping is obtained.

And step S906, when the second power loss rate is larger than a second preset threshold value, acquiring the telemetering data of the associated distribution transformer.

Specifically, the second preset threshold may be 70%, which may be the same as the first preset threshold in value, and when it is determined that the power-loss station area occupation ratio of different preset station area branch line groups within the preset time period threshold, that is, the second power loss rate corresponding to each preset station area branch line group is greater than 70% of the second preset threshold, the telemetry data of the associated distribution transformer is obtained. In order to ensure that the accuracy of the reverse analysis of the station-level signals is not affected by false alarm and missed report of the signals, the analysis needs to be assisted by the detection of telemetering data in combination with real-time measurement and the like.

And step S908, performing topology analysis based on the topological structure of the main and distribution networks according to the telemetering data and the power failure signal of the branch line of the transformer area, and generating a corresponding fault research and judgment result.

Specifically, when the telemetering data is determined to be empty, topology analysis is performed according to the station area branch power failure signal and based on the main distribution network topology structure, and the current distribution network fault type is determined to be branch line power failure. And when the telemetering data is determined not to be empty, returning to the step S902, performing real-time monitoring on the station area branch line power failure signals, performing grouping traversal on the station area branch line power failure signals according to the preset feeder line groups, and generating first power failure rates corresponding to the preset feeder line groups.

Further, by matching the station zone branch power failure signal with a preset maintenance plan, when the matching is successful, namely the preset maintenance plan matched with the current station zone branch power failure signal is determined to exist, the current power distribution network fault type is further determined to be planned power failure under the branch line. Otherwise, when the preset maintenance plan matched with the branch power failure signal of the current transformer area does not exist, the current power distribution network fault type is further determined to be temporary power failure under the branch line.

In this embodiment, the first outage rates corresponding to the preset feeder groups are generated by monitoring the station branch line outage signals in real time and traversing the station branch line outage signals in groups according to the preset feeder groups. And when the second power loss rate is greater than the second preset threshold, acquiring telemetering data of the associated distribution transformer, and further performing topology analysis based on the main distribution network topological structure according to the telemetering data and the power failure signals of the branch lines of the distribution transformer to generate corresponding fault research and judgment results. The method and the device realize layered and graded fault studying and judging by combining comprehensive fault studying and judging data, and can obtain more accurate fault studying and judging results step by step, thereby realizing rapid positioning of fault positions and matching of rush repair measures for rapid rush repair, improving the fault repair efficiency of the power distribution network, and achieving rapid recovery of the power distribution network faults.

In an embodiment, as shown in fig. 10, a method for studying and determining fault location of a power distribution network is provided, which specifically includes the following steps:

step S1002, performing preliminary study and judgment according to the fault study and judgment data, and generating a corresponding preliminary study and judgment result.

Specifically, the output information of different correlation systems is collected, data fusion processing is performed on the output information to obtain fault study and judgment data, and preliminary study and judgment are performed according to the fault study and judgment data to generate corresponding preliminary study and judgment results.

Step S1004, when it is determined that the preliminary evaluation result does not meet the predetermined evaluation requirement, acquiring a related predetermined level signal.

Specifically, the preliminary judgment result is compared with the preset judgment requirement, and when the preliminary judgment result is determined not to meet the preset judgment requirement, the associated preset level signal is obtained. The preset studying and judging requirements show that whether the fault type and the fault area of the current power distribution network can be accurately determined or not according to the fault studying and judging results obtained by directly studying and judging the fault studying and judging data, namely whether the fault type and the fault area of the current power distribution network are consistent or not is determined by comparing the determined fault type and the determined fault area of the current power distribution network with the fault type and the fault area obtained by actual measurement.

In one embodiment, when the preliminary judgment result is determined to meet the predetermined judgment requirement, the corresponding decision result is directly generated according to the preliminary judgment result.

And step S1006, generating a new evidence according to the associated preset level signal, and performing evidence redistribution and evidence fusion on the new evidence according to the evidence probability to generate a corresponding evidence fusion result.

Specifically, by acquiring a related preset level signal, such as a first preset level signal, and further determining whether a new evidence can be generated according to the related preset level signal, when it is determined that the new evidence can be generated according to the related preset level signal, evidence redistribution and evidence fusion are performed on the new evidence according to an evidence probability, so as to generate a corresponding evidence fusion result.

In consideration of the differences in signal ductility, integrity and accuracy of different correlation systems, the fusion of multi-level data brings more logical directions for evaluation, and may also have negative effects on evaluation results, for example, logic and result conflicts occur at different levels, which requires an additional algorithm to reduce the degree of coupling of signals. Based on the D-S evidence theory, if conditions such as approximate equal probability, high conflict or paradox evidence and the like are met, a certain proposition cannot be selected as a result by force, and the quality and the integrity of different information can be evaluated according to historical results and association conditions among different information according to the limitations of the D-S evidence theory, the credibility of different information sources can be corrected, the D-S evidence probability can be redistributed, and a corresponding evidence fusion result can be generated.

And step S1008, generating a corresponding decision result according to the preliminary study result and the evidence fusion result.

Specifically, when the preliminary judgment result does not meet the preset judgment requirement, the corresponding decision result is regenerated according to the preliminary judgment result and the evidence fusion result. The decision result is used for determining how to evaluate the quality and integrity of different information when logic and result conflicts occur at different levels, and further correcting the credibility of different information sources.

And step S1010, checking the decision result sum according to a preset theoretical signal to generate a corresponding checking result.

Specifically, a preset theoretical signal is obtained, and the decision result is checked according to the theoretical signal, so that a corresponding checking result is generated. The preset theoretical signal is used for checking the decision result, namely, whether the information quality, the information integrity and the information source reliability corresponding to the current decision result meet the requirement of the preset theoretical signal is determined.

In one embodiment, after the decision result sum is checked according to a preset theoretical signal to generate a corresponding check result, the credibility portrait is further updated according to the check result, so that evidence redistribution and evidence fusion are performed on new evidence according to the updated credibility portrait and the evidence probability to generate a corresponding evidence fusion result.

Step S1012, generating a corresponding fault study result according to the checking result.

Specifically, when the information quality, the information integrity and the information source reliability corresponding to the current decision result are determined and the preset theoretical signal requirement is met, the corresponding fault studying and judging result is further generated according to the checking result, namely the current power distribution network fault type and the current fault area are further determined according to the checking result.

According to the power distribution network fault positioning studying and judging method, preliminary studying and judging are carried out according to fault studying and judging data, corresponding preliminary studying and judging results are generated, when the preliminary studying and judging results are determined to be not in accordance with the preset studying and judging requirements, associated preset level signals are obtained, new evidences are generated according to the associated preset level signals, further evidence redistribution and evidence fusion are carried out on the new evidences according to evidence probabilities, and corresponding evidence fusion results are generated. And generating a corresponding decision result according to the preliminary studying and judging result and the evidence fusion result, checking the decision result according to a preset theoretical signal to generate a corresponding checking result, and further generating a corresponding fault studying and judging result according to the checking result. The evidence redistribution and evidence fusion are carried out on the new evidence according to the evidence probability, and the generated evidence fusion result is obtained, so that the coupling degree of signals is reduced, the algorithm fault tolerance is improved, meanwhile, the calculation efficiency of the algorithm is also ensured, and the accuracy of the obtained fault research and judgment result is improved.

It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in each flowchart related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.

In one embodiment, as shown in fig. 11, there is provided a power distribution network fault location research and judgment system, including: a fault study data generating module 1102, a fault study result generating module 1104, and an alarm information generating module 1106, wherein:

and a fault study and judgment data generation module 1102, configured to collect output information of different associated systems, and perform data fusion processing on each output information to obtain fault study and judgment data.

And a fault study and judgment result generation module 1104, configured to perform hierarchical fault study and judgment on the fault study and judgment data based on the topology structure of the main network and the distribution network, and generate a corresponding fault study and judgment result.

And an alarm information generating module 1106, configured to determine the power distribution network fault type and fault area according to the fault studying and judging result, and generate corresponding alarm information.

In the power distribution network fault positioning and studying and judging system, the output information of different correlation systems is collected, data fusion processing is carried out on the output information to obtain fault studying and judging data, then the fault studying and judging data are subjected to hierarchical fault studying and judging based on the topological structure of the main and distribution networks to generate corresponding fault studying and judging results, the fault type and the fault area of the power distribution network are determined according to the fault studying and judging results, and corresponding alarm information is generated. Because the outputs of a plurality of different correlation systems are collected for fusion and integration, more comprehensive fault study and judgment data can be obtained, and then more accurate fault study and judgment results can be obtained when hierarchical fault study and judgment are carried out according to the comprehensive fault study and judgment data, so that the fault position can be quickly positioned, the emergency repair measures can be matched for quick emergency repair, the fault repair efficiency of the power distribution network can be improved, and the fault quick recovery of the power distribution network can be realized.

In one embodiment, the fault study result generation module is further configured to:

acquiring preset levels corresponding to the topological structures of the main and distribution networks and judging logics corresponding to the preset levels; and according to the study and judgment logic corresponding to each preset level and the preset signal priority, carrying out hierarchical fault study and judgment on the fault study and judgment data to generate a corresponding fault study and judgment result.

judging whether an associated signal corresponding to the discrete power failure signal of the preset level exists or not according to the judging logic corresponding to the preset level; when determining that the associated signals corresponding to the discrete power failure signals of the preset level exist, grouping the associated signals according to the associated signals and the corresponding preset signal priority; and carrying out topology analysis according to the group of the associated signals and the topological structure of the main and distribution network to generate a corresponding fault studying and judging result.

detecting signals and switch opening states in the station; determining whether a power failure signal of the whole line exists or not according to the in-station signal and the switch opening state; when the fact that a power failure signal of the whole line exists is determined, the feeder automation coverage rate is obtained based on the topological structure of the main distribution network; and when the feeder automation coverage rate is determined to reach a preset threshold value, carrying out topology analysis according to the power failure signal of the whole feeder and the topological structure of the main distribution network, and generating a corresponding fault research and judgment result.

monitoring the state of the road level signal, and determining the switching action state of the power distribution network according to the state of the road level signal; performing in-station signal matching according to the switching action state of the power distribution network; when the in-station signal matched with the feeder line power failure signal exists, judging whether other branch signals related to the feeder line power failure signal exist or not; and when determining that other branch signals associated with the feeder line power failure signal do not exist, acquiring the associated station area branch signal, performing topology analysis based on the main and distribution network topological structure according to the feeder line power failure signal and the station area branch signal, and generating a corresponding fault study and judgment result.

monitoring the power failure signals of the branch lines of the transformer area in real time, and performing grouping traversal on the power failure signals of the branch lines of the transformer area according to preset feeder line groups to generate a first power failure rate corresponding to each preset feeder line group; when the first power loss rate is smaller than a first preset threshold value, traversing the branch power failure signals of the distribution area according to the branch line groups of the preset distribution area, and generating second power loss rates corresponding to the branch line groups of the preset distribution area; when the second power loss rate is larger than a second preset threshold value, acquiring telemetering data of the associated distribution transformer; and performing topology analysis based on the main and distribution network topology structure according to the telemetering data and the power failure signal of the branch line of the transformer area to generate a corresponding fault research and judgment result.

In one embodiment, a system for studying and judging fault location of a power distribution network is provided, which specifically includes:

and the primary studying and judging result generating module is used for carrying out primary studying and judging according to the fault studying and judging data and generating a corresponding primary studying and judging result.

And the associated preset level signal acquisition module is used for acquiring the associated preset level signal when the preliminary judgment result is determined not to meet the preset judgment requirement.

And the evidence fusion result generation module is used for generating a new evidence according to the associated preset level signal, and carrying out evidence redistribution and evidence fusion on the new evidence according to the evidence probability to generate a corresponding evidence fusion result.

And the decision result generating module is used for generating a corresponding decision result according to the preliminary studying and judging result and the evidence fusion result.

And the checking result generating module is used for checking the decision result according to the preset theoretical signal and generating a corresponding checking result.

And the fault studying and judging result generating module is used for generating a corresponding fault studying and judging result according to the checking result.

According to the power distribution network fault positioning studying and judging system, evidence redistribution and evidence fusion are carried out on new evidence according to the evidence probability, and a generated evidence fusion result is obtained, so that the coupling degree of signals is reduced, the algorithm fault tolerance is improved, meanwhile, the calculation efficiency of the algorithm is ensured, and the accuracy of the obtained fault studying and judging result is improved.

For specific limitations of the power distribution network fault location research and judgment system, reference may be made to the above limitations of the power distribution network fault location research and judgment method, and details are not described herein again. All modules in the power distribution network fault positioning studying and judging system can be completely or partially realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 12. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as fault studying and judging data, fault studying and judging results, alarm information and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a power distribution network fault positioning research and judgment method.

Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.

In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method for studying and judging fault location of a power distribution network is characterized by comprising the following steps:

2. The method according to claim 1, wherein the step of performing hierarchical fault study and judgment on the fault study and judgment data based on a main network and distribution network topology structure to generate a corresponding fault study and judgment result comprises:

3. The method according to claim 2, wherein the step of performing hierarchical fault diagnosis on the fault diagnosis data according to diagnosis logic and preset signal priority corresponding to each preset hierarchy to generate corresponding fault diagnosis results comprises:

4. The method of claim 3, wherein the group of associated signals includes a power-off-all-wire signal; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

detecting signals and switch opening states in the station;

5. The method of claim 3, wherein the group of associated signals includes feeder outage signals; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

6. The method of claim 3, wherein the group of associated signals includes a station area branch line outage signal; the generating a corresponding fault studying and judging result by performing topology analysis according to the group of the associated signals and the topology structure of the main and distribution networks includes:

7. The method of claim 1, further comprising:

8. A power distribution network fault location research and judgment system, characterized in that the system includes:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.