CN116031999A - Power distribution network section fault positioning method and system under condition of incomplete alarm information - Google Patents
Power distribution network section fault positioning method and system under condition of incomplete alarm information Download PDFInfo
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Abstract
The invention belongs to the field of power system grid protection, and provides a power distribution network section fault positioning method and system under the condition of incomplete alarm information, wherein the method comprises the steps of utilizing a power grid topological structure of a power distribution management system to establish a power grid element connection tree and determining a power grid key node; according to the importance of the fault alarm information, comprehensively analyzing a power distribution automation system, a mining system, a marketing management system and a weather forecast system to determine the comprehensive judgment priority of a plurality of systems; based on the multi-system comprehensive judgment priority, sequencing the fault possibility of the key nodes of the power grid according to the alarm information acquired in real time; and overhauling the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determining the fault position of the power distribution network section. The invention is based on the power grid topology after the power distribution network faults, fully considers various determination and uncertainty information, and performs section fault positioning on the power distribution network.
Description
Technical Field
The invention belongs to the technical field of power system grid protection, and particularly relates to a power distribution network section fault positioning method and system under the condition of incomplete alarm information.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The distribution network directly faces users, and the power supply quality of the distribution network also directly influences the power consumption feedback of the users. According to statistics, more than 80% of faults in the power system are derived from the power distribution network, the power distribution network has a plurality of fault types and is difficult to find, so that the power distribution network fault analysis is always an important power grid operation measure, and the power distribution network fault analysis is a promotion for guaranteeing the development of social economy and the quality of life of people. The power distribution network section positioning not only enables workers to roughly understand influences caused by faults, but also can determine the switching state of the final isolation faults again according to the determined power failure area and verify the accuracy of fault positioning results. Therefore, the fault section is positioned at any time after the power distribution network breaks down, the mastering degree and the working efficiency of workers on the faults can be improved, the accuracy of various operations in fault processing is improved, the fault processing time is greatly shortened, and the power supply reliability of the power distribution network is improved as a whole.
Because the distribution network directly faces users, when disasters such as earthquake, flood and the like occur, the distribution network often causes large-area power failure and fault information deletion.
The current power distribution automation fault location principle is illustrated by taking the circuit shown in fig. 1 as an example. When a fault occurs, the recloser serving as a power switch controls the circuit breaker CB1 to trip, then the reclosers are switched off due to voltage loss along the line sectionalizers S1 and S2, the circuit breaker CB1 is closed after time delay, the voltage-time sectionalizer serving as the sectionalizer realizes automatic closing after one side is electrified, and when the fault point is closed, the recloser and the sectionalizer are caused to trip in the 2 nd round. The sectional switch connected with the fault section keeps the closing time not exceeding the set time limit, and is locked in the opening state. At the same time, the downstream segment connected to the faulty segment is also locked in the open state by means of the residual voltage locking mechanism. After a period of time delay, the recloser can restore the full-section power supply of the power supply side of the fault line after the second reclosing. Thereafter, the tie switch is closed, and power is restored in the non-fault section.
In the above-mentioned manner, in the conventional automatic fault location principle for power distribution, if the FTU device for detecting voltage is a natural disaster communication terminal such as earthquake, hurricane, etc., the fault section cannot be located.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a system for positioning the section faults of a power distribution network under the condition of incomplete alarm information.
According to some embodiments, the first scheme of the invention provides a power distribution network section fault positioning method under the condition of incomplete alarm information, which adopts the following technical scheme:
the power distribution network section fault positioning method under the condition of incomplete alarm information comprises the following steps:
establishing a power grid element connection tree by utilizing a power grid topological structure of a power distribution management system, and determining key nodes of a power grid;
according to the importance of the fault alarm information, comprehensively analyzing a power distribution automation system, a mining system, a marketing management system and a weather forecast system to determine the comprehensive judgment priority of a plurality of systems;
based on the multi-system comprehensive judgment priority, sequencing the fault possibility of the key nodes of the power grid according to the alarm information acquired in real time;
and overhauling the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determining the fault position of the power distribution network section.
Further, the building of the grid element connection tree by using the grid topology structure of the distribution management system includes:
according to the topological structure of the power grid, taking a substation bus as a tree root, and performing extensive traversal along the line;
when encountering a power grid branch, establishing a corresponding tree branch;
and finishing traversing the topological structure of the power grid until the interconnection switch is searched by traversing, and obtaining the power grid element connection tree.
Further, according to the importance of the fault alarm information, the comprehensive analysis is performed on the power distribution automation system, the mining system, the marketing management system and the weather forecast system, and the comprehensive judgment priority of the multiple systems is determined, specifically:
according to the importance of the fault alarm information, the distribution automation system M3, the mining system M2, the marketing management system M1 and the weather forecast system M5 are subjected to importance sorting, wherein the importance sorting is that M3> M2> M1> M5;
and determining the multi-system comprehensive judgment priority based on the importance sequencing results of the power distribution automation system M3, the mining system M2, the marketing management system M1 and the weather forecast system M5.
Further, the multi-system comprehensively judges the priority, specifically:
priority 1: when four systems alarm simultaneously, determining the priority as 1; the priority 1 specifically comprises M1, M2, M3 and M5;
priority 2: when any three of the four systems alarm simultaneously, determining the priority as 2; the priority 2 specifically comprises M2, M3, M5> M1, M2, M3> M1, M3, M5> M1, M2, M5;
priority 3: when any two of the four systems alarm simultaneously, determining the priority as 3; the priority 3 specifically comprises M2, M3> M3, M5> M2, M5> M1, M3> M1, M2> M1, M5;
priority 4: when any one of the four systems alarms, priority 4 is determined, and the priority 4 specifically comprises M3> M2> M1> M5.
Further, the priority is comprehensively judged based on multiple systems, and the fault possibility of the key nodes of the power grid is ordered according to the alarm information acquired in real time, specifically:
acquiring alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system in real time;
the method comprises the steps of firstly comparing alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system with a multi-system comprehensive judgment priority according to real-time acquisition, and sequencing the fault possibility of key nodes of the power grid;
and determining a fault probability sequencing result of the key nodes of the power grid.
Further, the method further comprises:
when the information of the control center of the power system is not smooth, the acquired alarm information of the marketing management system, the mining system and the distribution automation system is obtained;
determining the fault probability of each section by using a power distribution network Markov model;
when the fault probability of the line is larger than a threshold value, judging that the alarm information is correct, and carrying out fault inspection based on the alarm information;
and when the occurrence probability of the line fault is smaller than the threshold value, judging that the alarm information is wrong.
Further, determining the section fault probability by using a power distribution network Markov model, wherein the method specifically comprises the following steps:
respectively using a power grid marketing management system, an electricity acquisition system and a power distribution automation system as one Markov chain in a Markov model to carry out probability modeling on the line faults of the power distribution network so as to form the power distribution network Markov model;
determining the fault probability of the section by using a power distribution network Markov model;
the method for determining the section fault probability by using the power distribution network Markov model comprises the following steps of:
the segment failure probability is p=u1u2u3/(u1u2u3+v1u2u3+u1v2u3+u1u2v3);
wherein u1 represents the percentage of the total number of faults which are received by the user complaints after the section faults, v1 represents the percentage of the total number of faults which are not received by the user complaints after the section faults; u2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user is zero after the section fault, and v2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user fails after the section fault; u3 represents the percentage of the total number of the segment switch actions when the segment switch is tripped after the segment fault, and v3 represents the percentage of the total number of the segment switch actions when the segment switch is closed after the segment fault.
According to some embodiments, the second scheme of the present invention provides a power distribution network section fault positioning system under the condition of incomplete alarm information, which adopts the following technical scheme:
the utility model provides a distribution network section fault location system under alarm information incomplete condition, includes:
the power grid key node determining module is configured to establish a power grid element connection tree by utilizing a power grid topological structure of the power distribution management system, and determine power grid key nodes;
the multi-system comprehensive judgment priority determining module is configured to comprehensively analyze the power distribution automation system, the mining system, the marketing management system and the weather forecast system according to the importance of the fault alarm information, and determine the multi-system comprehensive judgment priority;
the fault probability sequencing module is configured to comprehensively judge the priority based on the multiple systems and sequence the fault probability of the key nodes of the power grid according to the alarm information acquired in real time;
and the section fault positioning module is configured to overhaul the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determine the position of the fault of the section of the power distribution network.
According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of a method for locating a fault in a section of a power distribution network in the event of an incomplete alarm message as described in the first aspect above.
According to some embodiments, a fourth aspect of the invention provides a computer device.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the steps in a method for locating a fault in a section of a power distribution network in the event of an incomplete alarm information as described in the first aspect above.
Compared with the prior art, the invention has the beneficial effects that:
at present, fault positioning of the existing power distribution network is performed according to the determined fault information. But in extreme cases, such as hurricanes, earthquakes, etc., the fault alert information is poorly collected. Under the condition, the invention utilizes various information such as a marketing management system, a mining system, a distribution automation system, a distribution management system, a weather forecast system and the like to comprehensively judge the distribution line. When the power grid system has communication faults, the diagnosis result cannot be in a hundred-percent accurate form because of incomplete collection of alarm information, so that the invention calculates the fault probability of the distribution lines which are likely to be faulty, carries out overhaul and inspection priority sorting according to the fault probability, carries out priority inspection on the lines with high fault probability, can ensure that the fault lines are found under the optimal condition, avoids manual blind inspection, shortens the power failure time, and further improves the power supply reliability.
The invention gathers the marketing management system, the mining system, the distribution automation system, the distribution management system and the weather forecast system which are currently used as supports, performs section positioning on the power distribution network faults when the FTU information is missing, takes the power network topology after the power distribution network faults as a basis, fully considers various determination and uncertainty information, and performs section fault positioning on the power distribution network.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a diagram of a power grid topology in the current power distribution automation fault location principle;
FIG. 2 is a schematic diagram of an element connection tree generated by the grid topology of FIG. 1;
FIG. 3 is a schematic diagram of a Markov model according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for positioning faults in a power distribution network section under the condition of incomplete alarm information according to an embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Embodiments of the invention and features of the embodiments may be combined with each other without conflict.
Example 1
As shown in fig. 4, the present embodiment provides a method for positioning a fault of a power distribution network section under the condition of incomplete alarm information, and the present embodiment is illustrated by applying the method to a server, and it can be understood that the method can also be applied to a terminal, and can also be applied to a system and a terminal, and implemented through interaction between the terminal and the server. The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communication, middleware services, domain name services, security services CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, which is not limited herein. In this embodiment, the method includes the steps of:
establishing a power grid element connection tree by utilizing a power grid topological structure of a power distribution management system, and determining key nodes of a power grid;
according to the importance of the fault alarm information, comprehensively analyzing a power distribution automation system, a mining system, a marketing management system and a weather forecast system to determine the comprehensive judgment priority of a plurality of systems;
based on the multi-system comprehensive judgment priority, sequencing the fault possibility of the key nodes of the power grid according to the alarm information acquired in real time;
and overhauling the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determining the fault position of the power distribution network section.
The embodiment gathers the marketing management system, the mining system, the distribution automation system, the distribution management system and the weather forecast system which are used as supports at present, and performs section positioning on the power distribution network faults when the FTU information is lost.
Wherein, marketing management system M1, utilize 95598 artificial telephone to provide the blackout area of customer's feedback; the electricity utilization system M2 is used for acquiring electricity utilization conditions of users by using the user electricity meter; the power distribution automation system M3 collects the states of all the switches by using the FTU; the power distribution management system M4 provides element connection relations by using a power distribution topology; the weather forecast system M5 provides weather conditions of the local area.
Taking the line shown in fig. 1 as an example, a method for positioning a fault in a power distribution network section under the condition of incomplete alarm information in this embodiment is specifically described, including:
and step 1, establishing a power grid element connection tree.
Using a grid topology of a power distribution management system, establishing a grid element connection tree comprising:
according to the topological structure of the power grid, taking a substation bus as a tree root, and performing extensive traversal along the line;
when encountering a power grid branch, establishing a corresponding tree branch;
and finishing traversing the topological structure of the power grid until the interconnection switch is searched by traversing, and obtaining the power grid element connection tree.
Taking the line shown in fig. 1 as an example, a component connection tree is established according to the topology provided by the power distribution management system M4. The invention is based on a premise that the topology of the power distribution network is not changed in extreme weather such as earthquake, hurricane and the like, and is a determining factor. The building method is that the bus of the transformer substation is taken as a tree root, the bus is traversed along the line, when the branch of the power grid is met, the corresponding tree branch is built until the contact switch is searched.
For example, the corresponding grid element connection tree of fig. 1 is shown in fig. 2. The problem translates into which critical node L1, L2, L3 has a segment failure in the case of system M1, M2, M3, M4, M5 information.
Step 2: according to the importance of the fault alarm information, comprehensively analyzing a power distribution automation system, a mining system, a marketing management system and a weather forecast system to determine the comprehensive judgment priority of a plurality of systems;
wherein the same priority is performed in the order from left to right. Since the distribution management system M4 only provides topology information, this information is fixedly stored in the dispatch center and therefore does not participate in prioritization.
Ordering the importance of all information that can provide an alarm system. The information provided by the distribution automation system M3 is most important, because M3 provides the on-off information of the circuit breakers and switches at two ends of the line, and the on-off information is directly related to the line; secondly, the system M2 is adopted to represent the indirect association relation between the electricity consumption of the user and the line, so that the system is placed in a secondary position; again, the marketing management system M1, because the user complains about the telephone uncertainty is too much, the user himself/herself cannot clearly distinguish whether the line problem or the power failure caused by himself/herself; finally, the weather forecast system M5 is provided, as the weather causes line faults only one of the factors.
Specifically, the distribution automation system M3, the mining system M2, the marketing management system M1, and the weather forecast system M5 are ranked in order of M3> M2> M1> M5 according to the importance of the fault alarm information.
Thus, the multi-system comprehensive judgment priority is obtained, specifically:
priority 1: when four systems alarm simultaneously, determining the priority as 1; the priority 1 specifically comprises M1, M2, M3 and M5;
priority 2: when any three of the four systems alarm simultaneously, determining the priority as 2; the priority 2 specifically comprises M2, M3, M5> M1, M2, M3> M1, M3, M5> M1, M2, M5;
priority 3: when any two of the four systems alarm simultaneously, determining the priority as 3; the priority 3 specifically comprises M2, M3> M3, M5> M2, M5> M1, M3> M1, M2> M1, M5;
priority 4: when any one of the four systems alarms, priority 4 is determined, and the priority 4 specifically comprises M3> M2> M1> M5.
Step 3: based on the multi-system comprehensive judgment priority, the fault possibility of the key nodes of the power grid is ordered according to the alarm information acquired in real time, and the method specifically comprises the following steps:
acquiring alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system in real time;
the method comprises the steps of firstly comparing alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system with a multi-system comprehensive judgment priority according to real-time acquisition, and sequencing the fault possibility of key nodes of the power grid;
and determining a fault probability sequencing result of the key nodes of the power grid.
And according to the alarm information received by the key nodes L1, L2 and L3, carrying out fault probability sequencing. For example, when the L2 section receives tripping information of the two-end sectionalizing switch fed back by the distribution automation system M3, zero information of the user ammeter degree fed back by the mining system M2, user alarm information fed back by the marketing management system M1, and the weather forecast system M5 is in absence, the L2 section meets the priority 2. Meanwhile, when the L3 segment receives 95598 alarm information of the user of the marketing management system M1, the L3 segment meets the priority 4. Since priority 2 is higher than priority 4, the L2 segment line is first walked by the exclusive man.
Step 4: and overhauling the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determining the fault position of the power distribution network section.
Specifically, the method of this embodiment further includes:
when the information of the control center of the power system is not smooth, the acquired alarm information of the marketing management system, the mining system and the distribution automation system is obtained;
determining the fault probability of each section by using a power distribution network Markov model;
when the fault probability of the line is larger than a threshold value, judging that the alarm information is correct, and carrying out fault inspection based on the alarm information;
and when the occurrence probability of the line fault is smaller than the threshold value, judging that the alarm information is wrong.
Conflict resolution method. In extreme weather conditions, information is often not clear in the power system, and conflicts are caused. For example, some lines are tripped, but the trip signal is not uploaded, resulting in the control center misunderstanding that the line is intact. But the marketing management system receives the call of the power failure complaint of the user, and causes information conflict.
To resolve this type of conflict, the present invention utilizes a Markov model to model the probability of a line fault. In the line markov model shown in fig. 3, u1 represents a percentage of the total number of failures that are received after a section failure, and v1 represents a percentage of the total number of failures that are not received after a section failure; u2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user is zero after the section fault, and v2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user fails after the section fault; u3 represents the percentage of the total number of the segment switch actions when the segment switch is tripped after the segment fault, and v3 represents the percentage of the total number of the segment switch actions when the segment switch is closed after the segment fault. Since the weather conditions are not directly linked with the line faults, and only serve as auxiliary criteria, M5 does not participate in the Markov model.
Determining the section fault probability by using a power distribution network Markov model, wherein the method specifically comprises the following steps:
respectively using a power grid marketing management system, an electricity acquisition system and a power distribution automation system as one Markov chain in a Markov model to carry out probability modeling on the line faults of the power distribution network so as to form the power distribution network Markov model;
determining the fault probability of the section by using a power distribution network Markov model;
the method for determining the section fault probability by using the power distribution network Markov model comprises the following steps of:
the segment failure probability is p=u1u2u3/(u1u2u3+v1u2u3+u1v2u3+u1u2v3);
wherein u1 represents the percentage of the total number of faults which are received by the user complaints after the section faults, v1 represents the percentage of the total number of faults which are not received by the user complaints after the section faults; u2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user is zero after the section fault, and v2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user fails after the section fault; u3 represents the percentage of the total number of the segment switch actions when the segment switch is tripped after the segment fault, and v3 represents the percentage of the total number of the segment switch actions when the segment switch is closed after the segment fault.
Judging probability by judging whether the user complaints are received or not when the section faults occur on a Markov chain where the power grid marketing management system is located; judging probability according to whether the electricity consumption of the user is collected or not when a section fault occurs on a Markov chain where the electricity consumption collection system is located; and when the section fault occurs on the Markov chain where the power distribution automation system is located, probability judgment is carried out according to the opening and closing states of the sectional switch.
The markov model is solved, and the segment failure probability is p=u1u2u3/(u1u2u3+v1u2u3+u1u2u3+u2v3).
From the operation data statistics, u1=0.832, v1=0.168, u2=0.976, v2=0.024, u3=0.989, v3=0.011 are taken. The fault threshold is assumed to be set to 70%. If the faults are accurately reflected by M1, M2 and M3, the fault probability P=80.8% of the section is obtained according to the formula, and the line fault can be judged, and a person needs to send the line to find the fault.
For example, L2 fails and the two-terminal sectionalizers S1, S2 trip. However, due to communication problems, the dispatch center still displays S1, S2 in a closed state. I.e. the distribution automation system M3 does not alarm. Meanwhile, the L2 section is connected to 95598 manual complaint call of the marketing management system M1, and the calling and collecting system M2 displays that the electricity consumption of the user ammeter is zero. By means of the markov model,
the probability of the acquisition signals M1 and M2 is
P1＝u1u2v3/(u1u2u3+v1u2u3+u1v2u3+u1u2v3)＝0.899％；
The probability of the acquisition M3 is
P2＝v1v2u3/(u1u2u3+v1u2u3+u1v2u3+u1u2v3)＝0.4％
P1> P2, the information error of the distribution automation system M3 is known.
Case of conflict: according to the Markov model, calculating the probability of each possibility, judging that the probability is large as acquisition, and carrying out fault inspection based on alarm information; otherwise, the judgment with small probability is an information error.
Example two
The embodiment provides a distribution network section fault positioning system under the condition of incomplete alarm information, which comprises:
the power grid key node determining module is configured to establish a power grid element connection tree by utilizing a power grid topological structure of the power distribution management system, and determine power grid key nodes;
the multi-system comprehensive judgment priority determining module is configured to comprehensively analyze the power distribution automation system, the mining system, the marketing management system and the weather forecast system according to the importance of the fault alarm information, and determine the multi-system comprehensive judgment priority;
the fault probability sequencing module is configured to comprehensively judge the priority based on the multiple systems and sequence the fault probability of the key nodes of the power grid according to the alarm information acquired in real time;
and the section fault positioning module is configured to overhaul the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determine the position of the fault of the section of the power distribution network.
The above modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to what is disclosed in the first embodiment. It should be noted that the modules described above may be implemented as part of a system in a computer system, such as a set of computer-executable instructions.
The foregoing embodiments are directed to various embodiments, and details of one embodiment may be found in the related description of another embodiment.
The proposed system may be implemented in other ways. For example, the system embodiments described above are merely illustrative, such as the division of the modules described above, are merely a logical function division, and may be implemented in other manners, such as multiple modules may be combined or integrated into another system, or some features may be omitted, or not performed.
Example III
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the power distribution network section fault location method in the event of an incomplete alarm information as described in the above embodiment.
Example IV
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the steps in the power distribution network section fault positioning method under the condition of incomplete alarm information in the embodiment.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (10)
1. The power distribution network section fault positioning method under the condition of incomplete alarm information is characterized by comprising the following steps:
establishing a power grid element connection tree by utilizing a power grid topological structure of a power distribution management system, and determining key nodes of a power grid;
according to the importance of the fault alarm information, comprehensively analyzing a power distribution automation system, a mining system, a marketing management system and a weather forecast system to determine the comprehensive judgment priority of a plurality of systems;
based on the multi-system comprehensive judgment priority, sequencing the fault possibility of the key nodes of the power grid according to the alarm information acquired in real time;
and overhauling the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determining the fault position of the power distribution network section.
2. The method for locating a fault in a power distribution network segment in the case of incomplete alarm information according to claim 1, wherein said establishing a power grid element connection tree using a power grid topology of a power distribution management system includes:
according to the topological structure of the power grid, taking a substation bus as a tree root, and performing extensive traversal along the line;
when encountering a power grid branch, establishing a corresponding tree branch;
and finishing traversing the topological structure of the power grid until the interconnection switch is searched by traversing, and obtaining the power grid element connection tree.
3. The method for positioning faults in a power distribution network section under the condition of incomplete alarm information according to claim 1, wherein the comprehensive analysis is performed on a power distribution automation system, a mining system, a marketing management system and a weather forecast system according to the importance of the fault alarm information, and the comprehensive judgment priority of a plurality of systems is determined, specifically:
according to the importance of the fault alarm information, the distribution automation system M3, the mining system M2, the marketing management system M1 and the weather forecast system M5 are subjected to importance sorting, wherein the importance sorting is that M3> M2> M1> M5;
and determining the multi-system comprehensive judgment priority based on the importance sequencing results of the power distribution automation system M3, the mining system M2, the marketing management system M1 and the weather forecast system M5.
4. A method for locating a fault in a power distribution network section in the event of incomplete alarm information as claimed in claim 3, wherein the multiple systems comprehensively determine priority levels, specifically:
priority 1: when four systems alarm simultaneously, determining the priority as 1; the priority 1 specifically comprises M1, M2, M3 and M5;
priority 2: when any three of the four systems alarm simultaneously, determining the priority as 2; the priority 2 specifically comprises M2, M3, M5> M1, M2, M3> M1, M3, M5> M1, M2, M5;
priority 3: when any two of the four systems alarm simultaneously, determining the priority as 3; the priority 3 specifically comprises M2, M3> M3, M5> M2, M5> M1, M3> M1, M2> M1, M5;
priority 4: when any one of the four systems alarms, priority 4 is determined, and the priority 4 specifically comprises M3> M2> M1> M5.
5. The method for positioning faults in a power distribution network section under the condition of incomplete alarm information according to claim 1, wherein the method is based on multi-system comprehensive judgment priority, ranks the fault probability of key nodes of the power distribution network according to alarm information acquired in real time, and specifically comprises the following steps:
acquiring alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system in real time;
the method comprises the steps of firstly comparing alarm information of a power grid marketing management system, a power consumption acquisition system and a power distribution automation system with a multi-system comprehensive judgment priority according to real-time acquisition, and sequencing the fault possibility of key nodes of the power grid;
and determining a fault probability sequencing result of the key nodes of the power grid.
6. The method for locating a fault in a power distribution network section in the event of incomplete alarm information according to claim 1, further comprising:
when the information of the control center of the power system is not smooth, the acquired alarm information of the marketing management system, the mining system and the distribution automation system is obtained;
determining the fault probability of each section by using a power distribution network Markov model;
when the fault probability of the line is larger than a threshold value, judging that the alarm information is correct, and carrying out fault inspection based on the alarm information;
and when the occurrence probability of the line fault is smaller than the threshold value, judging that the alarm information is wrong.
7. The method for positioning faults in a power distribution network section under the condition of incomplete alarm information according to claim 6, wherein the determining of the fault probability of the section by using a power distribution network markov model is specifically as follows:
respectively using a power grid marketing management system, an electricity acquisition system and a power distribution automation system as one Markov chain in a Markov model to carry out probability modeling on the line faults of the power distribution network so as to form the power distribution network Markov model;
determining the fault probability of the section by using a power distribution network Markov model;
the method for determining the section fault probability by using the power distribution network Markov model comprises the following steps of:
the segment failure probability is p=u1u2u3/(u1u2u3+v1u2u3+u1v2u3+u1u2v3);
wherein u1 represents the percentage of the total number of faults which are received by the user complaints after the section faults, v1 represents the percentage of the total number of faults which are not received by the user complaints after the section faults; u2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user is zero after the section fault, and v2 represents the percentage of the total number of times of collecting the electricity consumption of the user when the electricity consumption of the user fails after the section fault; u3 represents the percentage of the total number of the segment switch actions when the segment switch is tripped after the segment fault, and v3 represents the percentage of the total number of the segment switch actions when the segment switch is closed after the segment fault.
8. Distribution network section fault location system under alarm information incomplete condition, its characterized in that includes:
the power grid key node determining module is configured to establish a power grid element connection tree by utilizing a power grid topological structure of the power distribution management system, and determine power grid key nodes;
the multi-system comprehensive judgment priority determining module is configured to comprehensively analyze the power distribution automation system, the mining system, the marketing management system and the weather forecast system according to the importance of the fault alarm information, and determine the multi-system comprehensive judgment priority;
the fault probability sequencing module is configured to comprehensively judge the priority based on the multiple systems and sequence the fault probability of the key nodes of the power grid according to the alarm information acquired in real time;
and the section fault positioning module is configured to overhaul the key nodes of the power grid one by one based on the fault probability sequencing result of the key nodes of the power grid, and determine the position of the fault of the section of the power distribution network.
9. A computer readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of the method for fault localization of a section of a power distribution network in case of incomplete alarm information according to any one of claims 1-7.
10. Computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for fault localization of a power distribution network section in case of incomplete alarm information according to any one of claims 1-7 when the program is executed.
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