CN116169778A - Processing method and system based on power distribution network anomaly analysis - Google Patents
Processing method and system based on power distribution network anomaly analysis Download PDFInfo
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Abstract
The invention discloses a processing method and a processing system based on power distribution network anomaly analysis, wherein the processing method and the processing system comprise the following steps: the decision module 100 locates, allocates resources, analyzes and manages the types and positions of the anomalies; the abnormality discrimination module 200 extracts feature information; the resource allocation module 300 allocates maintenance tools and personnel according to the abnormal information; the state evaluation module 400 monitors the overall running state of the power grid and the real-time monitoring of power distribution equipment; the intelligent power distribution system has the advantages that the immediate display of fault points and power failure geographic distribution is realized, personnel skill constraint and material availability constraint are comprehensively considered, an intelligent optimization algorithm is adopted, a rush-repair plan is formulated, the fault rush-repair efficiency and high-quality service level are improved, the rapid processing of faults in an area is realized, the intelligent treatment and self-healing capacity of the power distribution network is integrally improved, various conditions such as abnormality are timely sent to a platform layer, the grading and layering line loss lean analysis management of a power distribution area is realized, and better effects are achieved in the aspects of execution cost, management control and completion time.
Description
Technical Field
The invention relates to the technical field of power distribution network anomaly analysis, in particular to a processing method and system based on power distribution network anomaly analysis.
Background
Currently, with the improvement of living standard, intelligent electrical equipment of resident families is more and more, dependence on electric energy is increasingly improved, and meanwhile, higher requirements on power supply service level are also provided. Therefore, the safe and stable power supply of the power distribution network closely connected with the power supply of the client is particularly important.
The natural environment where the power grid operates is complex and is easily influenced by various external factors, such as color belts, plastic films, convenient bags, kites, birds, bird nests and the like, and the foreign matters are very easy to cause line tripping when being dropped on the distribution network line, so that power failure of users is caused. The fault belongs to line tripping caused by transient external force factors, and the probability of success of superposition after the fault tripping occurs is high; for such non-transient faults, power can be restored after on-site rapid processing by patrolling personnel. The fault has small influence on the power failure time of the line, has larger relation with the environment where the power grid operates, and has more situations in areas where natural vegetation is exuberant or strong wind weather frequently occurs. People sometimes influence the power grid in generating activity. The construction machinery operation hurts underground cable facilities, the overhead power line is possibly collided by mistake in the overhead operation, the safety distance between the distribution line and the street lamp post is insufficient, the power cable is stolen, the car is impacted, the agricultural crop waste is burned, and the like. Such factors are caused by human behavior activities, can be avoided in general, generally cause permanent faults of the circuit, have large processing difficulty, involve more factors and have long time for recovering power transmission. Damage to electrical lines such as overhead conductors, cables, ring main units, etc., or to accessories such as insulators, bowden cables, lightning arresters, etc., causes the lines to fail. The power line and the accessory equipment are damaged due to factors such as quality failure, operation aging, poor construction and construction, lightning stroke and the like in the operation process. Such faults are also diverse due to the large variety of distribution line equipment. Serious faults such as broken overhead line, breakdown of cable insulation, burnout of switching stations of the distribution ring main unit, defect of contact of isolating knife switch and the like, and general faults such as breakdown of lightning arrester, damage of insulator and wetting water inflow of the ring main unit. The failure power failure time and processing difficulty of the type of failure cause the influence to be different according to the type of the failure. The serious faults need to be processed by stopping the circuit, and the fault processing difficulty is high, the time consumption is long, and the power failure time is long; the general fault is simple to process, short in time and less in influence on users. The faults are closely related to weather factors, the influence on the power grid is large, short-time multi-place multi-secondary line faults can be presented when the faults occur, the power failure range is larger than other factors, the processing is relatively difficult, and challenges are brought to personnel distribution and ordered rush repair.
Along with the expansion of economic production scale, the number of users accessing to the power distribution network system is increased, and the situation that the user management difficulty is increased and the user faults are increased while the power grid bears the increasing power consumption demands is also faced. Poor electricity stealing behavior and electricity consumption habit of users, irregular operation, problems on equipment quality, low operation and maintenance level and the like can cause line tripping caused by faults of the user equipment. Although the current intelligent user demarcation switch can effectively isolate user faults when users fail to avoid line tripping, intelligent equipment installation and transformation are not easy to carry out in old communities and user dense areas, the current equipment has the conditions of difficult setting of protection fixed values, low equipment reliability, misoperation and the like, and tripping caused by current user factors becomes a main cause of power grid faults.
In the face of this situation, anti-electricity-theft, timeliness of fault repair, reliability of circuit safety become important aspects in solving the problem of grid management.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems.
Therefore, the technical problems solved by the invention are as follows: the existing sensing complete equipment has the problems that the branch detection terminal and the meter box detection unit adopt the characteristic current technology, the relation is complex, the relation of the station is disordered, the circuit maintenance is not in time, and the resource request is distributed to the edge end to realize the optimization of the circuit management system.
In order to solve the technical problems, the invention provides the following technical scheme: a processing method based on power distribution network anomaly analysis comprises the following steps:
the decision module locates, allocates and analyzes and manages the abnormal type and abnormal position;
the abnormality judging module extracts characteristic information;
the resource allocation module allocates maintenance tools and personnel according to the abnormal information;
and the state evaluation module is used for monitoring the overall running state of the power grid and the real-time monitoring of power distribution equipment.
The processing method and the processing system based on the power distribution network anomaly analysis are characterized in that: the control strategy of the decision module makes control instructions through judging the characteristic information, distinguishes the abnormal type and the abnormal position, and gives maintenance of faults and management of electricity theft integer instructions aiming at different anomalies; if the edge end technician solves the fault, the abnormality is recovered after the feedback audit.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the decision module further comprises: the fault positioning module is used for positioning the fault type and the fault position according to the characteristic information; the anti-electricity-stealing module is used for accurately positioning the anti-electricity-stealing of the power distribution network and accurately analyzing and managing line loss and benefit according to the characteristic information; the control instruction module makes a control instruction for the judgment of the decision module.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the control strategy further comprises:
if the continuously observed characteristic information is unchanged after the control instruction is issued, integrating the maintenance record and the characteristic information as a basis for optimizing maintenance means.
If the continuously observed characteristic information changes after the control command is issued:
when the fault characteristic is changed into the electricity stealing characteristic, 70% of the electricity stealing characteristics are judged to be abnormal, an electricity stealing prevention management instruction is added on the basis of the original maintenance instruction, and the electricity stealing prevention management instruction is added to a resource allocation module for key investigation.
When the electricity stealing feature is changed into the fault feature, the electricity stealing abnormality is basically judged, the original electricity stealing prevention management instruction is changed into the original maintenance instruction, and the resource configuration instruction is changed for the resource configuration module.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the control instruction module further includes:
when a short circuit fault occurs, automatically switching off and positioning a short circuit abnormal state of the distribution network by using an automatic reclosing method of a distribution line and no channel protection through a fault positioning module, and conveying a processing result of fault characteristic parameters and positions to a resource configuration module;
when the bit has short circuit fault and the anti-electricity-stealing module is detected to react, the control instruction module directly executes the positioning opening action and conveys the processing results of the fault characteristic parameters and the positions to the resource allocation module.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the state evaluation module, the state includes:
monitoring the running state of a power distribution station; the state of the platform is evaluated and early-warned; analyzing power supply reliability; asset lean management and equipment life-time analysis.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the abnormality discrimination module further includes: the topology information of various nodes of the topology association module is dynamically acquired, and the dynamic acquisition is expressed as follows: extracting characteristic information of the running state information;
if the abnormality is judged to be a short-circuit fault, the position information and the fault information are directly extracted through automatic reclosing without channel protection;
if the abnormality does not accord with the electricity stealing characteristics of the topology association module, judging that the fault is not a short circuit fault, defining the fault as a complex circuit fault, and extracting the characteristics;
if the abnormality accords with the electricity stealing characteristics of the topology association module, judging that electricity is stolen, and extracting the characteristics.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the state evaluation module further comprises the following steps:
acquiring a radio station area line key node monitoring unit and intelligent electric energy meter information of an end user by using the state evaluation module;
determining target circuit information of an operation state;
and judging whether the circuit information accords with the target circuit information.
The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of: the method comprises the steps that when the decision module locates, allocates and analyzes and manages the abnormal types and abnormal positions, the resource allocation module performs characteristic allocation on maintenance tools and personnel according to abnormal information;
when the decision-making module judges that the characteristic configuration of the maintenance tool and personnel can not solve the fault, the state evaluation module continues to evaluate the whole running state of the power grid and the information of the power distribution equipment, the abnormality judgment module extracts the characteristic information, and the resource configuration module adjusts the configuration until the characteristic information accords with the specified running state of the power grid, otherwise, the circulation is executed.
The processing system based on the power distribution network anomaly analysis is characterized in that: comprises a decision module; an abnormality discrimination module; a resource allocation module; a state evaluation module;
the state evaluation module is provided with an identification device arranged at the edge end and the distribution area;
the abnormality discrimination module is used for topologically collecting information features;
the resource allocation module is used for executing maintenance and management instructions and allocating resources;
the decision module is used for deciding the next action instruction of resource allocation through the collected fault information and sending the action instruction to the resource allocation module for allocating the edge resources.
The invention has the beneficial effects that: according to the processing method and system based on the power distribution network anomaly analysis, based on the Internet of things and the edge computing technology, real-time acquisition and monitoring of information such as real-time operation conditions and equipment states of a power distribution station are realized on a sensing layer, real-time monitoring and risk early warning of the whole operation state of the low-voltage power distribution network and power distribution equipment are realized, the operation and equipment management level of the low-voltage power distribution network is improved, the on-site edge computing capability and the disposal advantage of an intelligent measuring terminal are brought into play, the automatic identification function and the geographic information of the power distribution station electrical topology/household transformation relationship are combined, the accurate analysis of power failure of a support fault is realized, the instant display of the fault point and the power failure geographic distribution is realized, the skill constraint and the material availability constraint of personnel are comprehensively considered, an intelligent optimization algorithm is adopted, a rush-repair plan is formulated, the fault rush-repair efficiency and high-quality service level are improved, the rapid processing of faults in an area is realized, the intelligent disposal and self-healing capability of the power distribution network is integrally improved, various conditions such as anomalies are timely sent to a platform layer, and the classification and layering line loss of the power distribution station are accurately analyzed and managed, and the good effect is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is an overall flowchart of a processing method based on anomaly analysis of a power distribution network according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of a module in a processing system based on anomaly analysis of a power distribution network according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a decision module of a processing method and system based on power distribution network anomaly analysis according to a second embodiment of the present invention;
fig. 4 is an actual simulation diagram of a processing method and system based on power distribution network anomaly analysis according to a second embodiment of the present invention;
fig. 5 is a time effect comparison chart of a processing method and a system based on power distribution network anomaly analysis according to a second embodiment of the present invention;
fig. 6 is a ratio effect comparison chart of a processing method and a system based on power distribution network anomaly analysis according to a second embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, for an embodiment of the present invention, a processing method and a system based on power distribution network anomaly analysis are provided, including:
s1: the state evaluation module 400 monitors the overall running state of the power grid and the real-time monitoring of power distribution equipment;
further, the monitoring information comprises monitoring of the running state of the power distribution area; the state of the platform is evaluated and early-warned; analyzing power supply reliability; asset lean management and equipment life-time analysis.
It should be noted that, the monitoring of the operation state of the distribution area mainly includes that by deploying devices such as a primary and a secondary fusion device and an intelligent measurement terminal with an edge calculation function, the operation data of the transformer are collected and analyzed in real time, and possible faults of the transformer are early warned in time; the platform area state evaluation early warning mainly comprises information such as historical condition statistics and the like, and intelligent comprehensive research and judgment analysis is carried out by combining the distribution network panoramic state sensing data; asset lean management and equipment full-life management and control comprise unified power distribution equipment asset information models, a full-life core value chain is built, and full-link integrated sharing of power distribution equipment asset detection and operation defect information is achieved.
Meanwhile, edge calculation refers to that a user obtains running state information of a plurality of users at the same time through hardware or software of a user side, and the running of the users is different, so that how to perform abnormality analysis processing on the state information is a problem.
S2: inputting the information acquired by the state evaluation module 400 into the abnormality discrimination module 200 for feature extraction;
further, the anomaly determination module 200 further includes: the topology association module 201 dynamically acquires topology information of various nodes, which is expressed as follows: extracting characteristic information of the running state information;
if the abnormality is judged to be a short-circuit fault, the position information and the fault information are directly extracted through automatic reclosing without channel protection;
if the abnormality does not accord with the electricity stealing feature of the topology association module 201, determining that the fault is not a short circuit fault, defining the fault as a complex circuit fault, and extracting the feature;
if the abnormality accords with the electricity stealing feature of the topology association module 201, the electricity stealing is judged, and feature extraction is performed.
It should be noted that, the automatic reclosing without channel protection refers to: the automatic reclosing method without channel protection matching further comprises the step of identifying a two-phase short-circuit fault of the distribution line; after the fault is protected and isolated by the channel-free protection, reclosing after waiting for the fault to be free; the reclosing utilizes a power side relay to send a closing instruction to a corresponding power side breaker and accelerates after reclosing; and if the load side relay waits for the reclosing operation of the power supply side circuit breaker to be completed, judging that the line voltage is recovered to a normal level, then issuing a closing instruction to the corresponding load side circuit breaker, and acquiring a short circuit position.
It should be noted that the topology association module 201 refers to: based on key parameters such as signal-to-noise ratio, gain ratio, subcarrier delay ratio and the like of the HPLC communication technology, the identification of the low-voltage station user change relation is realized through inter-network coordination calculation, and automatic maintenance is realized on the station account of the station equipment. Based on the power frequency distortion communication technology, a power frequency current distortion signal is sent at a voltage zero crossing point, the current distortion signal is transmitted along a power supply loop, voltage zero crossing point distortion current is monitored in real time through high-speed analog sampling, branch and split phase distortion current information is decoded and stored in a concurrent meter reading mode, a platform region topology relation table is generated by utilizing a fragment fusion technology, and then a platform region electrical logic relation topology is generated, and characteristic information is extracted.
The extracted feature information is provided to a decision module 100, which further comprises: the fault locating module 101 locates the fault type and the fault position according to the characteristic information; the anti-electricity-stealing module 102 is used for accurately positioning the anti-electricity-stealing of the power distribution network and accurately analyzing and managing line loss and benefit according to the characteristic information; the control instruction module 110 makes a control instruction to the decision module's judgment.
It should be noted that, with the edge internet of things component main equipment in the situation awareness complete equipment as a core, by enabling corresponding function application software and adopting a passive low-power consumption internet of things sensor technology, non-electric quantity and electric quantity data such as the running temperature, high-low voltage, current and the like of the transformer are collected and analyzed in real time, all-weather state monitoring and intelligent control are carried out on the electric equipment, the transformer and the surrounding environment, possible faults are predicted timely and accurately, and functions such as equipment running state analysis, visual online monitoring, foreign matter invasion automatic alarm and the like are realized, so that safe, stable and economic running of the power distribution network is ensured.
It should be noted that if there is no change in the continuously observed feature information after the control command is issued, the maintenance record and the feature information are integrated as a basis for optimizing the maintenance means.
If the continuously observed characteristic information changes after the control command is issued:
when the fault feature is changed into the electricity stealing feature, 70% of the power is judged to be abnormal, an electricity stealing prevention management command is added on the basis of the original maintenance command, and the power stealing prevention management command is added to the resource allocation module 300 for carrying out important investigation.
When the electricity stealing feature is changed into the fault feature, the electricity stealing abnormality is basically judged, the original electricity stealing prevention management instruction is changed into the original maintenance instruction, and the resource configuration instruction is changed to the resource configuration module 300.
S3: after the control instruction is issued, reasonably scheduling technical maintenance personnel at the edge according to the fault and instruction requirements; and adjusting the device resources based on the instructions and technical requirements of technicians.
It should be noted that, the implementation utilizes the combination of the on-site operation and maintenance tool and the on-line monitoring function of the abnormal work order of the platform to realize the closed-loop management operation mechanism of the abnormal work order of the platform. When the abnormality occurs, the network neural unit automatically reports the abnormality and transmits the abnormality to the on-site operation and maintenance tool in the form of a work order through the display platform, and a platform manager processes the abnormality on site in time according to the work order requirement. Meanwhile, the processing condition of workers and the satisfaction degree of clients can be managed and controlled in real time through the on-site operation and maintenance tool, and finally the on-line monitoring of service quality and effect is realized.
It should be noted that the issuing of the control command may be variable, and the final confirmation of the accurate repair and failure is performed with respect to the analysis result of the information monitored in real time, or requires professional judgment of the technician to whom the edge is configured.
Example 2
Referring to fig. 2-6, for an embodiment of the present invention, a processing method and a system based on power distribution network anomaly analysis are provided, and in order to verify the beneficial effects of the present invention, scientific demonstration is performed through economic benefit calculation and simulation experiments.
Firstly, setting a key node monitoring unit and an intelligent ammeter of an end user, realizing the dynamic acquisition of topology information, and realizing the active discovery and automatic maintenance of the topology relation, abnormal power supply phase and other information of a transformer branch line meter box meter; and utilizing a network neural unit equipped with the intelligent equipment according to the electrical physical topology level to judge the faults and the fault types under different fault conditions.
Extracting characteristic information of the topology, and comparing the characteristic information with abnormal characteristic reference quantity through a decision module 100;
after the decision module 100 determines that the fault is a breaking fault, instruction output and resource allocation are performed on the fault position immediately, and in the execution process, the breaking fault suddenly disappears, and then the output is cut-off information, and the change instruction is an anti-electricity-stealing behavior instruction.
It should be noted that, the abnormal electricity larceny of the circuit is very little possible to be the spontaneous behavior of the user, because the real-time control of the power grid marks the soundness of the electricity larceny management system, and the parallel electricity larceny without using electric appliances is excluded when the electricity larceny happens outside the user; it follows that an open circuit needs to be made in the circuit to enable electricity theft.
At this time, an open circuit is implemented on the node by the anti-electricity-stealing module 102 of the decision module; by means of an anti-electricity-theft monitoring system and combining an anti-electricity-theft early warning model, users with abnormal electricity utilization are locked through online diagnosis and analysis, and actions such as miswire electricity theft, voltage electricity theft, electricity theft in a winding way and the like in a place area are rapidly checked, so that intelligent research and judgment of electricity theft types are realized.
Finally, the abnormal circuit is maintained and managed by the resource allocation module 300, the dispatcher and the resource.
The above processing method can be realized by means of the system, and specifically, the system comprises: the decision module 100 comprises an abnormality judging module 200, a resource allocation module 300 and a state evaluation module 400.
Scene one:
the technical effects adopted in the method are verified and explained, and the different methods selected in the embodiment and the method are adopted for comparison test, and the test results are compared by means of scientific demonstration to verify the true effects of the method.
Test environment: in a computer simulation end, modeling test is carried out on a power grid to obtain result data, and by adopting the method, automatic test equipment is started to realize simulation test of the method, and the simulation data are obtained according to experimental results. The test procedure is recorded in reality, including,
simulation 1: and (5) testing the same area and 100 user edge branches for 10 times in total, and recording fault processing time comparison.
Simulation 2: and (5) testing the total 10 times of anti-electricity-stealing accuracy comparison for the same area and 100 user edge branches.
The actual results are compared with the data in tables 1 and 2, respectively.
Table 1: comparison of simulation one:
| test method | Manual test h | System test h |
| Analyzing time of |
4 | Less than 0.1 |
| |
2 | Less than 1.5 |
Table 2: comparison of simulation two:
| minimum safe distance | Manual cycle | Automatic test | |
| 1 | × | √ | |
| 2 | √ | √ | |
| 3 | × | √ | |
| 4 | × | × | |
| 5 | × | √ | |
| 6 | × | √ | |
| 7 | √ | × | |
| 8 | √ | √ | |
| 9 | × | √ | |
| 10 | √ | √ | |
| Accuracy rate of | 40％ | 80％ |
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. The processing method based on the power distribution network anomaly analysis is characterized by comprising the following steps of:
the decision module (100) is used for positioning, distributing and analyzing and managing the abnormal types and abnormal positions;
the abnormality discrimination module (200) extracts characteristic information;
the resource allocation module (300) allocates maintenance tools and personnel according to the abnormal information;
the state evaluation module (400) is used for monitoring the overall running state of the power grid and the real-time monitoring of power distribution equipment.
2. The processing method and system based on power distribution network anomaly analysis according to claim 1, wherein: the control strategy of the decision module (100) makes control instructions through judging the characteristic information, distinguishes the abnormal type and the abnormal position, and gives maintenance of faults and management of electricity stealing integer instructions aiming at different anomalies; if the edge end technician solves the fault, the abnormality is recovered after the feedback audit.
3. The processing method based on the power distribution network anomaly analysis according to claim 1 or 2, wherein: the decision module further comprises: the fault positioning module (101) is used for positioning the fault type and the fault position according to the characteristic information; the anti-electricity-stealing module (102) is used for accurately positioning the anti-electricity-stealing of the power distribution network and accurately analyzing and managing line loss and benefit according to the characteristic information; a control instruction module (110) makes a control instruction to the judgment of the decision module.
4. A processing method based on anomaly analysis of a power distribution network as claimed in claim 3, wherein: the control strategy further comprises:
if the continuously observed characteristic information is unchanged after the control instruction is issued, integrating the maintenance record and the characteristic information as a basis for optimizing maintenance means.
If the continuously observed characteristic information changes after the control command is issued:
when the fault characteristic is changed into the electricity stealing characteristic, 70% of the power is judged to be abnormal, an electricity stealing prevention management instruction is added on the basis of the original maintenance instruction, and the power is added to a resource allocation module (300) for carrying out important investigation.
When the electricity stealing feature is converted into the fault feature, the electricity stealing abnormality is basically judged, the original electricity stealing prevention management instruction is changed into the original maintenance instruction, and the resource configuration instruction is changed for the resource configuration module (300).
5. A processing method based on anomaly analysis of a power distribution network according to any one of claims 3 or 4, wherein: the control instruction module (110) further includes:
when a short circuit fault occurs, automatically switching off and positioning a short circuit abnormal state of the distribution network by using an automatic reclosing method of a distribution line and no channel protection through a fault positioning module (101), and conveying a processing result of fault characteristic parameters and positions to a resource configuration module (300);
when the bit has a short circuit fault and the anti-electricity-stealing module (102) is detected to react, the control instruction module (110) directly executes positioning and opening actions, and the processing results of the fault characteristic parameters and the positions are transmitted to the resource allocation module (300).
6. The processing method based on the power distribution network anomaly analysis according to claim 5, wherein: -the state evaluation module (400), the state comprising:
monitoring the running state of a power distribution station; the state of the platform is evaluated and early-warned; analyzing power supply reliability; asset lean management and equipment life-time analysis.
7. The processing method based on the power distribution network anomaly analysis according to claim 6, wherein: an abnormality determination module (200) further comprising: the topology association module (201) dynamically acquires topology information of various nodes, and the topology information is expressed as follows: extracting characteristic information of the running state information;
if the abnormality is judged to be a short-circuit fault, the position information and the fault information are directly extracted through automatic reclosing without channel protection;
if the abnormality does not accord with the electricity stealing characteristics of the topology association module (201), judging that the fault is not a short circuit fault, defining the fault as a complex circuit fault, and extracting the characteristics;
if the abnormality accords with the electricity stealing characteristics of the topology association module (201), judging that electricity is stolen, and extracting the characteristics.
8. The processing method based on the power distribution network anomaly analysis according to claim 6 or 7, wherein: the state evaluation module (400) further comprises the steps of:
acquiring a station area line key node monitoring unit and intelligent electric energy meter information of an end user by using the state evaluation module (400);
determining target circuit information of an operation state;
and judging whether the circuit information accords with the target circuit information.
9. The processing method based on power distribution network anomaly analysis according to claim 8, wherein: the method comprises the steps that when the decision module (100) locates, allocates resources and analyzes and manages the abnormal types and the abnormal positions, the resource allocation module (300) performs characteristic allocation on maintenance tools and personnel according to abnormal information;
when the decision module (100) judges that the characteristic configuration of the maintenance tool and personnel can not solve the fault, the state evaluation module (400) continues to evaluate the whole running state of the power grid and the information of the power distribution equipment, the abnormality judgment module (200) extracts the characteristic information, and the resource configuration module (300) adjusts the configuration until the configuration meets the specified running state of the power grid, otherwise, the circulation is executed.
10. A processing system based on distribution network anomaly analysis is characterized in that: comprises a decision module (100); an abnormality determination module (200); a resource allocation module (300); a state evaluation module (400);
the state evaluation module (400) is provided with an identification device arranged at the edge end and the distribution area;
the abnormality discrimination module (200) is used for topologically collecting information features;
the resource allocation module (300) is used for executing maintenance and management instructions and allocating resources;
the decision module (100) is configured to decide a next action instruction of resource allocation according to the collected fault information, and send the action instruction to the resource allocation module (300) to allocate the edge resources.
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