CN106771883B - Multi-source information power distribution fault positioning method and system based on cloud - Google Patents
Multi-source information power distribution fault positioning method and system based on cloud Download PDFInfo
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Abstract
The invention provides a cloud-based multi-source information power distribution fault positioning method and system, which comprises the following steps: reading configuration information in a cloud database into a service starting process to start the cloud database, and waiting for power distribution network fault starting information; the power distribution network fault starting information triggers a fault processing program to obtain a fault data set; and analyzing the topology of the power distribution network according to the fault data set, and obtaining a fault positioning result by a fault processing algorithm module. The technical scheme provided by the invention enables the distribution line to quickly and accurately position the fault, and improves the power supply reliability; by adopting the intelligent power distribution network unified information model cloud, the problem of fusion and use of fault information of the power distribution lines from different devices, equipment and systems is solved.
Description
Technical Field
The invention relates to a fault positioning method, in particular to a cloud-based multi-source information power distribution fault positioning method and system.
Background
With the development of modern economic society, economic loss and adverse effects caused by power failure are increasingly large, and the requirement on power supply reliability is increasingly high. The power distribution network directly faces to users and has important influence on economic development and people life. The quality and the reliability of the electric energy are mainly determined by the power distribution network, the access of renewable energy power generation grid connection has great influence on the power distribution network, and the focus of interaction with users and demand side management is also on the power distribution network.
Fault location of distribution lines is an important function of Feeder Automation (FA). The Feeder Automation (FA) function is to realize automatic positioning, Isolation and power Restoration (Fault Location, Isolation and Service Restoration, referred to as FLISR for short) of a Fault after the Fault occurs in the medium-voltage distribution line (feeder). After the permanent fault occurs to the line and is cut off, the line fault point is automatically positioned to jump off the section switches at two sides of the fault point, the fault section is isolated, and the power supply of the non-fault line is recovered, so that the power failure is avoided or the fault power failure range is reduced, the power failure time is reduced, and the power supply reliability is improved. FLISR is a corrective operation measure aiming at shortening the power failure time after a line fault occurs, and therefore, the FLISR is used as a self-healing function of a power distribution network.
The fault location of the distribution line is realized by installing fault detection equipment such as a fault indicator and a distribution terminal on the distribution line. Most of the prior art related to power distribution network fault location focuses on power distribution network fault location methods based on monitoring terminals such as terminal units (FTUs) of a power distribution automation system, and the methods have two categories: a matrix method and an artificial intelligence method; meanwhile, a part of people also researches a distribution network fault positioning method by taking a fault complaint telephone as fault information and combining an intelligent method. When a distribution line breaks down, not only fault information can be collected by monitoring terminals such as FTUs, but also corresponding fault information can be collected by collecting equipment such as circuit breakers, reclosures, section switches and distribution transformers, and the difficulty is how to comprehensively use the information.
The comprehensive use of the information requires information synthesis of various information sources, and simultaneously, the uncertainty of the information needs to be fully considered. A large amount of distribution network alarm information that come from outdoor communication device are owing to the environment that is abominable, the temperature variation range is great, installs mostly on the power line post or in the switch board, will bear interference factors such as high pressure, heavy current, thunder and lightning, and the condition of information incompleteness, information mistake is more relatively.
Therefore, a multi-source information power distribution fault positioning method needs to be provided, so that standardized distribution network models and field data of different intelligent terminals and intelligent detection devices are fully used, accurate fault positioning and comprehensive statistics of fault sections are obtained, power supply reliability and operation scheduling level of a power distribution network are improved, and added values brought to advanced application and power distribution automation of the intelligent power distribution network by cloud services are comprehensively reflected.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a cloud-based multi-source information power distribution fault positioning method and system.
The technical scheme provided by the invention is as follows: a cloud-based multi-source information power distribution fault positioning method comprises the following steps:
reading configuration information in a cloud database into a service starting process to start the cloud database, and waiting for power distribution network fault starting information;
the power distribution network fault starting information triggers a fault processing program to obtain a fault data set;
and analyzing the topology of the power distribution network according to the fault data set, and obtaining a fault positioning result by a fault processing algorithm module.
Preferably, the configuration information includes: persistent data layer interface information; analyzing CIM Profile information and configuring conversion parameters; and (4) algorithm self-adaption configuration information.
Preferably, the fault starting information comprises breaker action information, FTU or fault indicator fault information and distribution transformation alarm information;
the processing of the fault comprises:
the fault processing module searches a power distribution network topological structure formed according to the power distribution network static model data and the power distribution network switching equipment state data to form a fault data set;
the fault processing module carries out fault data consistency detection on the fault data set and eliminates abnormal data; and sorting the information types in the detected data set according to the priority of the configuration information, and analyzing the topology of the power distribution network by taking the equipment generating the information with high priority as a root node.
Preferably, the fault locating includes:
detecting the consistency of data in a data set, setting the reliability according to the priority order of information types, and evaluating the information reliability of different systems according to recorded inconsistent information;
inputting the detected data into a fault positioning algorithm module, and positioning the fault according to a fault positioning algorithm;
and calculating a fault area and counting section data according to the fault positioning result, storing the data and sending fault positioning information.
Preferably, the fault location algorithm of the fault location algorithm module includes:
directly outputting a fault positioning result if the fault is transient;
otherwise, when the breaker action information exists, the feeder-level fault alarm information is used for fault positioning according to the information priority;
when the FTU or the fault indicator has fault information, fault positioning is carried out by taking the section switch or the fault indicator as a search starting point; or the like, or, alternatively,
and when the distribution transformation alarm information is used, the distribution transformation information is combined with the complaint information of the user to position the fault.
Preferably, the fault area is calculated according to the fault positioning result, and the section data is counted.
Preferably, the transient fault includes: a fault in which the circuit breaker with the reclosing function is finally closed and reclosed only once;
the fault location comprises the location of fault sections: the positioning of the fault section comprises the steps of determining the most downstream monitoring terminal which sends out overcurrent alarm information, setting the equipment of the terminal as the upstream boundary of the fault section, and setting the installation configuration condition of the monitoring terminal on the branch line section downstream of the upstream boundary equipment as the downstream boundary of the fault section.
Preferably, the locating the power outage area includes: starting from a search starting point to search each on-line switch in an outward topology manner, and judging whether the on-line switch is a power failure boundary or not according to the current information of the on-line switch and the current information of adjacent equipment;
the calculation of the fault region comprises: the sum of the transformer and the power supply area which is switched on and switched off in the fault section is a fault area;
the statistics of the section data comprise: determining section time according to the fault occurrence time; and collecting all measurement data and alarm information on the fault feeder line, wherein the time origin does not exceed +/-30 seconds by taking the section time as the origin, and forming section data statistics.
Preferably, the principle of setting the downstream boundary includes:
firstly, if monitoring terminal equipment serving as one of downstream boundaries is searched before possible branch lines are searched, stopping searching;
if the equipment provided with the monitoring terminal cannot be searched before the possible branch line on the searched branch line section, taking the branch line section as the branch line section of the upstream boundary equipment and continuing searching and judging according to the searching principle;
and thirdly, if the branch line is not branched, searching the tail end of the branch line section and not searching the equipment of the monitoring terminal, wherein the tail end of the branch line is the downstream boundary of the fault section.
A cloud-based multi-source information power distribution fault location system, the system comprising: the persistent data layer interface is positioned between the cloud database and the fault positioning processing unit;
the fault positioning processing unit comprises a fault data judging module, a topology analyzing module and a fault positioning algorithm module which are sequentially connected and respectively receives the interface data of the persistent data layer.
Preferably, the persistent data layer interface:
the input of network topology information and measurement data and the output of a positioning result are realized;
analyzing the power distribution network topology information and the measurement data which are read from the cloud database and encapsulated by CIM Profile messages into data required by the fault positioning processing unit, encapsulating the fault positioning information into CIM Profile messages, and writing the CIM Profile messages into the cloud database.
Preferably, the fault data discrimination unit is configured to perform fault data consistency detection on the formed fault data set and reject abnormal data;
the topology analysis unit is used for carrying out credibility setting on the information types in the detected fault data set according to the priority sequence of the configuration information, carrying out topology analysis by taking equipment generated by high-priority information as a root node, and forming a power distribution network topology model;
and the fault positioning algorithm module is used for positioning the fault according to the set fault positioning algorithm and the principle of searching the downstream boundary of the fault section and calculating the fault area.
Compared with the closest prior art, the invention has the following excellent effects:
according to the cloud-based multi-source information power distribution fault positioning method, the fault of the power distribution line can be quickly and accurately positioned, and the power supply reliability is improved;
according to the technical scheme, the intelligent power distribution network unified information model cloud is adopted, the power distribution network fault positioning algorithm is achieved, the fault processing efficiency of workers is improved, the fault power failure time is greatly shortened, and the power supply reliability of the power distribution network is improved.
According to the technical scheme provided by the invention, the accurate fault positioning result and the comprehensive statistical result of the fault section are obtained through the fault positioning algorithm based on the multi-source information, the operation scheduling level of the power distribution network is improved, and the power supply reliability is enhanced.
Drawings
FIG. 1 is a fault processing flow diagram of a multi-source information power distribution fault locating method of the present invention;
FIG. 2 is a flow chart of a multi-source information power distribution fault location algorithm of the present invention;
FIG. 3 is a flow chart of fault location based on feeder-level fault alarm information in accordance with the present invention;
FIG. 4 is a block diagram of an algorithm implementation system of the present invention;
FIG. 5 is a block diagram of a fault location procedure according to the present invention.
The device comprises a piezoelectric substrate 1, a 2-interdigital transducer, a 3-reflecting grating, a 4-antenna and a 5-surface acoustic wave.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
The invention provides a cloud-based multi-source information power distribution fault positioning method and system, wherein the method comprises the following steps:
the adopted means are as follows: the reading and writing of the cloud database are supported through a persistent data layer interface, the reading of the power distribution topology information and the fault information is realized through the interface, and the fault positioning is carried out on the obtained data through the following algorithm.
The schematic diagram of the program module is shown in fig. 5, the persistent data layer interface is located between the cloud database and the power distribution network fault location processing module, CIM Profile messages need to be supported, network topology information and measurement data are input through the interface, and location results are output. The interface mainly realizes CIM Profile message encapsulation and analysis functions. The network topology information and the measurement data which are read from the cloud database and encapsulated by the CIM Profile message are analyzed into data required by the power distribution network fault positioning processing module, and the fault positioning information is encapsulated into the CIM Profile message and written into the cloud database. The persistent data layer interface can realize flexible configuration, and the configuration information can be read from a configuration file or configuration data in a cloud database.
The algorithm comprises the following steps:
and (I) reading the configured interface information of the persistent layer and the analysis of CIM Profile messages, the configuration of conversion parameters (including CIM Profile templates used by various used messages, specific data structure parameters converted into fault location data and the like), the adaptive configuration information of the algorithm (including specific equipment rated parameters and equipment operation parameters of each region) and the like into a starting service process, and waiting for the messages after the power distribution network faults to start fault processing.
Secondly, searching the topology of the power distribution network, and forming real-time topology according to the static model data of the power distribution network and the state data of the current switch equipment; and carrying out topology analysis based on a Common Information Model (CIM) and adopting a breadth-first search algorithm. The searching process is that starting from a certain vertex F, searching each adjacent vertex which is not searched in the F in sequence, then starting from the adjacent vertices, searching the adjacent vertices in sequence until all the vertices in the graph are searched.
The Breadth-First-Search algorithm (also called Breadth-First Search or horizontal-First Search, abbreviated as BFS) is a pattern Search algorithm. In brief, BFS is a traversal of the nodes of the tree along its width, starting from the root node, and ending if a target is found. BFS is a blind search method that aims to systematically spread out and check all nodes in the graph for a result. In other words, it does not take into account the possible locations of the results and searches through the entire graph until a result is found. BFS does not use a rule-of-thumb algorithm.
And (III) triggering the fault processing by using a fault starting message, firstly forming a fault data set after triggering, detecting the consistency of the fault data after forming the fault data set, and removing abnormal data. And sequencing according to the information types in the detected fault data set and configured information priorities, and performing topology analysis by taking equipment generated by high-priority information as a root node.
The CIM model defines the association between the conductive device class and the end points, end points and connection nodes. The CIM topology model is shown in fig. 5.
Meanwhile, according to the sequence established by the equipment, adding an equipment terminal to each equipment, and establishing a connection node table for describing the topological relation among the equipment. For the bus bar, it can be classified as a single-ended device, i.e., the terminals at both ends are the same number. For a switch/knife switch, a two-terminal transformer or a three-terminal transformer, the number of each terminal is different because each terminal has different functions.
And (IV) fault positioning of multi-source information.
As fault information comes from different devices, equipment and systems, firstly, data consistency detection is needed, reliability is set according to the priority sequence of information types, and meanwhile, inconsistent information is recorded for information reliability evaluation of different systems. And sending the data after completing the data detection into a fault positioning algorithm module, and calculating according to an algorithm to obtain a fault positioning result.
A general block diagram of fault handling is shown in fig. 1. The fault positioning algorithm based on multi-source information is as follows:
(1) before the fault is positioned, reclosing information is needed to judge whether the fault is a transient fault. Considering that most faults in the power distribution network are transient, and transient faults do not need to be located due to the existence of reclosing, if the faults are transient, the fault location result can be directly obtained to be 'the faults are transient'. If the breaker with reclosing function is finally closed and only recloses once, the fault is transient, and the rest of the conditions temporarily judge that the fault is permanent.
(2) And determining that the method only uses feeder-level fault alarm information to perform fault location according to the information priority under the condition that the breaker action information exists. However, considering that the alarm information uploaded at the fault moment can be caused by more than one fault, because the action information of the circuit breaker comprises the name of the feeder where the circuit breaker is located, the feeder-level alarm information on all the feeders is picked out according to the names of the feeders, and the fault location is removed from the rest of the alarm information. And simultaneously, obtaining the feeder topology and the FTU or fault indicator configuration table of the feeder through the feeder name in the breaker action information. The basic principle of determining the fault section is to find the most downstream monitoring terminal which sends out overcurrent alarm information, the device where the monitoring terminal is located is the upstream boundary of the fault section, then determine the downstream boundary of the fault section according to the installation configuration conditions of the monitoring terminals on all branch line sections downstream of the upstream boundary device, and the principle of searching the downstream boundary of the fault section is listed as follows:
firstly, if a device for installing a monitoring terminal is searched before a possible branch line section of A is searched on a certain branch line section A, the device is one of the downstream boundaries, and the search for A can be stopped;
if the device for installing the monitoring terminal cannot be searched when the branch line section of the B is searched on a certain branch line B, the branch line section of the B is taken as the branch line section of the upstream boundary device to continue searching and judging according to the searching principle;
and thirdly, if the tail end of the C is searched on a certain branch line section C under the condition of no bifurcation and the equipment with the monitoring terminal is not searched, the tail end of the C is the downstream boundary of the fault section.
All the downstream boundaries of the fault section can be finally determined according to the searching principle, and all the possible fault sections can be finally determined according to the upstream and downstream boundaries. The search flow is shown in fig. 3.
(3) Under the condition of no feeder-level fault alarm information, fault location can be carried out only by taking distribution transformer abnormal alarm information as a main part and user complaint information as an auxiliary part, and meanwhile, the distribution transformer abnormal alarm information does not have the name of a feeder where the distribution transformer is located, so that the topology of the feeder cannot be obtained, and the distribution transformer can be located in the full-network topology. The fault information that feeder alarm information can reveal is most direct, accurate, utilize this alarm information very accurate acquisition fault nature, relatively accurate positional information of time of occurrence and fault point, and from distributing and changing abnormal alarm information can only obtain the abnormal condition of distribution and changing, whether can continue information such as power supply, can't obtain the reason that the abnormal condition takes place, information such as fault location directly, and user's complaint information is vague usually, can directly be used for fault location very rarely, can only be used for supplementary fault location.
And fifthly, calculating a fault area and counting section data according to the fault positioning result, and finally storing persistent data and sending a fault positioning result message.
The method comprises the steps of searching all power failure boundaries from a search starting point to an external topology, and judging whether an on-line switch is the power failure boundary or not by calling current information of the on-line switch and assisting current information of adjacent equipment.
Calculation of the failure region: according to the fault section determined in the step 3, equipment such as a transformer, a switching station and the like in the fault section is determined; the power supply areas of the transformers and the switching station are accumulated, and the obtained area is a fault area.
And (3) section data statistics: determining section time according to fault occurrence time (if the breaker action time exists, the fault occurrence time is set, and if the breaker action time does not exist, the fault occurrence time is the earliest alarm information time); and collecting all measurement data and alarm information on the fault feeder line according to the time origin not exceeding +/-30 seconds by taking the section time as the origin to form section data statistics.
A cloud-based multi-source information power distribution fault location system, the system comprising: the persistent data layer interface is positioned between the cloud database and the fault positioning processing unit;
the fault positioning processing unit comprises a fault data judging module, a topology analyzing module and a fault positioning algorithm module which are sequentially connected and respectively receives the interface data of the persistent data layer.
Preferably, the persistent data layer interface:
realizing the input of network topology information and measurement data and the output of positioning results;
analyzing the power distribution network topology information and the measurement data which are read from the cloud database and encapsulated by CIM Profile messages into data required by the fault positioning processing unit, encapsulating the fault positioning information into CIM Profile messages, and writing the CIM Profile messages into the cloud database.
Preferably, the fault data discrimination unit is configured to perform fault data consistency detection on the formed fault data set and eliminate abnormal data;
the topology analysis unit is used for carrying out credibility setting on the information types in the detected fault data set according to the priority sequence of the configuration information, carrying out topology analysis by taking equipment generated by high-priority information as a root node, and forming a power distribution network topology model;
and the fault positioning algorithm module is used for positioning the fault according to the set fault positioning algorithm and the principle of searching the downstream boundary of the fault section and calculating the fault area.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (4)
1. A cloud-based multi-source information power distribution fault positioning method is characterized by comprising the following steps:
reading configuration information in a cloud database into a service starting process to start the cloud database, and waiting for power distribution network fault starting information;
the power distribution network fault starting information triggers a fault processing program to obtain a fault data set;
analyzing the topology of the power distribution network according to the fault data set, and obtaining a fault positioning result by a fault processing algorithm module;
the fault locating comprises:
detecting the consistency of data in a data set, setting the reliability according to the priority order of information types, and evaluating the information reliability of different systems according to the recorded inconsistent information;
inputting the detected data into a fault positioning algorithm module, and positioning the fault according to a fault positioning algorithm;
calculating a fault area and counting section data according to a fault positioning result, storing the data and sending fault positioning information;
the fault location algorithm of the fault location algorithm module comprises the following steps:
if the fault is a transient fault, directly outputting a fault positioning result;
otherwise, when the breaker action information exists, the feeder-level fault alarm information is used for fault positioning according to the information priority;
when the FTU or the fault indicator has fault information, fault positioning is carried out by taking the section switch or the fault indicator as a search starting point; or, the distribution transformation information is combined with the user complaint information to position the fault;
calculating a fault area according to the fault positioning result, counting section data, and storing the persistent data and the fault positioning result into a cloud database;
the fault starting information comprises breaker action information, FTU or fault indicator fault information and distribution transformer alarm information;
the processing of the fault comprises:
the fault processing module searches a power distribution network topological structure formed according to the power distribution network static model data and the power distribution network switching equipment state data to form a fault data set;
the fault processing module carries out fault data consistency detection on the fault data set and eliminates abnormal data;
sorting the information types in the detected data set according to the priority of the configuration information, and analyzing the topology of the power distribution network by taking equipment generating high-priority information as a root node;
the transient faults include: a fault in which the circuit breaker with the reclosing function is finally closed and reclosed only once;
the fault location comprises the location of fault sections: the positioning of the fault section comprises the steps of determining the most downstream monitoring terminal which sends out overcurrent alarm information, setting the equipment of the terminal as the upstream boundary of the fault section, and setting the installation configuration condition of the monitoring terminal on the branch line section downstream of the upstream boundary equipment as the downstream boundary of the fault section;
the location outage area includes: starting from a search starting point to search each on-line switch in an outward topology manner, and judging whether the on-line switch is a power failure boundary or not according to the current information of the on-line switch and the current information of adjacent equipment;
the calculation of the fault region comprises: the sum of the transformer and the power supply area which is switched on and switched off in the fault section is a fault area;
the statistics of the section data comprise: determining section time according to the fault occurrence time; and collecting all measurement data and alarm information on the fault feeder line according to the time origin not exceeding +/-30 seconds by taking the section time as the origin to form section data statistics.
2. The cloud-based multi-source information power distribution fault location method of claim 1, wherein the configuration information comprises: persistent data layer interface information; analyzing CIM Profile information and configuring conversion parameters; and (4) algorithm self-adaption configuration information.
3. The cloud-based multisource information power distribution fault locating method of claim 1, wherein the principle of setting the downstream boundary comprises:
4. A cloud-based multi-source information power distribution fault location system, the system comprising: the persistent data layer interface is positioned between the cloud database and the fault positioning processing unit;
the fault positioning processing unit comprises a fault data judging module, a topology analyzing module and a fault positioning algorithm module which are connected in sequence and respectively receives the interface data of the persistent data layer;
the fault data discrimination module is used for carrying out fault data consistency detection on the formed fault data set and eliminating abnormal data;
the topology analysis module is used for carrying out credibility setting on the information types in the detected fault data set according to the priority sequence of the configuration information, carrying out topology analysis by taking equipment generated by high-priority information as a root node, and forming a power distribution network topology model;
the fault positioning algorithm module is used for positioning the fault according to a set fault positioning algorithm and a principle of searching for a downstream boundary of a fault section, and calculating a fault area;
the fault location algorithm module is specifically configured to: if the fault is a transient fault, directly outputting a fault positioning result;
otherwise, when the breaker action information exists, fault positioning is carried out by using the feeder-level fault alarm information according to the information priority;
when the FTU or the fault indicator has fault information, fault positioning is carried out by taking the section switch or the fault indicator as a search starting point; or, the distribution transformation information is combined with the user complaint information to position the fault;
starting to search each on-line switch from the search starting point to the outside topology, and judging whether the on-line switch is a power failure boundary according to the current information of the on-line switch and the current information of adjacent equipment;
calculating a fault area according to a fault positioning result, counting section data, and storing persistent data and the fault positioning result into a cloud database;
the persistent data layer interface:
realizing the input of network topology information and measurement data and the output of positioning results;
analyzing the power distribution network topology information and the measurement data which are read from the cloud database and encapsulated by CIM Profile messages into data required by the fault positioning processing unit, encapsulating the fault positioning information into CIM Profile messages, and writing the CIM Profile messages into the cloud database.
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