CN116365714A - Analysis method for monitoring false alarm of alarm signal - Google Patents
Analysis method for monitoring false alarm of alarm signal Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/262—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of switching or blocking orders
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/263—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of measured values
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention relates to an analysis method for monitoring false alarm signals, which is technically characterized by comprising the following steps: modeling the power grid operation monitoring data taking the equipment as the center to obtain a power grid operation monitoring data model; according to the power grid operation monitoring data model, a multi-dimensional power grid operation mode identification model is established; clustering information by taking power grid equipment as a center; and establishing a false-sending signal identification model, and reasoning and judging the false-sending signal. The invention has reasonable design, and realizes the index retrieval function of equipment, monitoring information, operation data and various management data by taking the equipment as the center; the fault tripping event is based on the power grid topology, the relation and time sequence characteristics among signals such as a protection outlet, a switch tripping outlet, a reclosing outlet, a switch closing, an automatic switching device action and the like are analyzed, the fault process is analyzed by combining with remote measurement for cross identification, the false signal is identified, the problem of manually judging the false signal is solved, and the fault tripping device can be widely applied to power companies and transformer substations.
Description
Technical Field
The invention belongs to the technical field of power regulation and control, and particularly relates to an analysis method for monitoring false alarm signals.
Background
Along with the promotion of the regulation and control integration and county regulation and concentration work, the number of concentrated monitoring substations managed by a regulation and control center is increased sharply, and primary and secondary equipment in each substation can be uploaded to a dispatching master station, so that monitoring information monitored in a concentrated manner at the master station side is increased sharply. As the monitoring information quantity generated by the equipment reaches tens of thousands, and a large number of nonstandard and nonstandard false alarm signals are mixed in the equipment, the hidden danger is buried for the false judgment of monitoring personnel at the main station side.
False alarm of the alarm signal not only can cover effective information, but also can influence the normal operation of the whole dispatching automation system. The false alarm signal interferes with the handling of the accident alarm by the monitoring personnel, and has great influence on the judgment of the power grid faults and the correct handling of the power grid accidents. Therefore, false alarm of alarm signals is reduced, reliability of information transmission is enhanced, and the method has important significance for stable operation and fault analysis of the power grid.
At present, the processing of mass signals at a main station side mainly depends on manual resolution and treatment, so that the experience and responsibility of monitoring personnel become key factors influencing the work, and the fatigue degree is increased by increasing the workload, so that the probability of error is greatly increased, and the problem that how to manually judge false-sending signals is urgent to be solved at present is solved.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides an analysis method for monitoring false alarm signals, can analyze accidents aiming at fault tripping events, identify false alarm signals and solve the problem of manually judging the false alarm signals.
The invention solves the technical problems in the prior art by adopting the following technical scheme:
an analysis method for monitoring false alarm signals, comprising the following steps:
step 1, modeling power grid operation monitoring data taking equipment as a center to obtain a power grid operation monitoring data model;
step 2, establishing a multi-dimensional power grid operation mode identification model according to the power grid operation monitoring data model;
step 3, clustering information by taking the power grid equipment as a center;
and 4, establishing a false signal identification model, and reasoning and judging false signals.
Further, the specific implementation method of the step 1 is as follows: the method for modeling the power grid operation monitoring data by taking equipment as the center establishes the association relation between telemetry, remote signaling, remote control, protection signals and alarm information and circuit breakers, disconnecting links and buses, and retrieves maintenance information, fault information, defect information and operation information through equipment ID, so that the data integration based on the equipment is realized, and a power grid operation monitoring data model is established.
Further, the power grid operation monitoring data model comprises a power grid equipment analysis model, a power grid wiring mode analysis model and a power grid operation mode analysis model, wherein:
grid equipment analysis model: according to the type of the equipment, the state of the equipment and the influence on a power grid in different states;
and (3) analyzing a power grid wiring mode analysis model: analyzing the connection mode of each interval in the power grid, the equipment at each position in the interval and the connection relation among the intervals according to the power grid topology, and performing power grid connection mode analysis modeling;
analysis model of power grid operation mode: and according to whether various devices are in an operating state, carrying out analysis modeling on the power grid operation mode.
Further, the step 2 establishes a multi-dimensional power grid operation mode identification model based on the power grid operation mode analysis model, wherein the multi-dimensional power grid operation mode identification model comprises the following steps: a companion signal judgment model, a tripping event analysis model and a causal relationship model.
Further, the specific implementation method of the step 3 is as follows: based on the data identification and data cleaning of the monitoring data, the data association relation between the original signal and the standard signal and the association relation between the standard signal and the event rule base are established, meanwhile, according to the event rule base, the tripping information, the operation and the accompaniment, the overhaul and debugging, the AVC information and the monitoring defects are packaged in blocks, and the equipment monitoring alarm information clustering taking the power grid event as the center is realized.
Further, the specific implementation method of the step 4 is as follows: according to the association relation between signals and the topological relation between devices, a false sending signal identification model is established, and the following monitoring alarm signals are analyzed and judged:
the method comprises the steps of opening and closing a switch, a disconnecting link and a ground knife in a short time;
the protection outlets, the interval accidents are total and the total station accidents are caused independently;
the displacement information of a large number of devices of the same transformer substation appears at the same time;
the information of the switch and the disconnecting link is in an abnormal state for a long time;
and fifthly, the shift information is not matched with the current state.
The invention has the advantages and positive effects that:
the invention realizes the index retrieval function of equipment and monitoring information, operation data and various management data by taking the equipment as a center based on the current topology of the power grid and combining the data such as the operation mode, the wiring mode and the like of the power grid; the fault tripping event is based on the power grid topology, the relation and time sequence characteristics among signals such as a protection outlet, a switch tripping outlet, a reclosing outlet, a switch closing, an automatic switching device action and the like are analyzed, the fault process is analyzed by combining with remote measurement for cross identification, the false signal is identified, the problem of manually judging the false signal is solved, and the fault tripping device can be widely applied to power companies and transformer substations.
Drawings
FIG. 1 is a process flow diagram of the present invention.
Detailed Description
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
The design idea of the invention is as follows: and the machine learning technology is adopted to automatically analyze the whole event of the follow-up incremental monitoring operation data, so that analysis and research on the correctness of accidents and abnormal signals are advanced, and the automatic identification function of false sending signals is realized. The invention carries out integral analysis based on various event analysis model libraries, and comprises the following steps: (1) Based on the power grid wiring mode and the operation mode analysis model, the operation mode of the power grid is analyzed, the maintenance window period of each device is judged on the basis of cross identification with maintenance application and the like, and maintenance and debugging information in the alarm information is identified. (2) And identifying a fault tripping event according to the fault tripping model, and judging a time sequence abnormal signal in the tripping event. And carrying out association analysis on the generation source of the tripping event, the action condition of the automatic switching device and the like according to a causal relationship model related to the tripping event. (3) Identifying and extracting associated signals based on the running mode of the power grid according to the operation associated model; furthermore, the AVC operation information, remote control operation information, interval corresponding master equipment and the like are combined to distinguish the operation and the AVC condition. (4) According to the analysis result, the automatic identification of the false sending signal is realized.
The invention provides an analysis method for monitoring false alarm signals, as shown in fig. 1, comprising the following steps:
an analysis method for monitoring false alarm signals, comprising the following contents:
step 1, modeling power grid operation monitoring data taking equipment as a center to obtain a power grid equipment analysis model, a power grid wiring mode analysis model and a power grid operation mode analysis model.
The method for modeling the power grid operation monitoring data by taking equipment as the center establishes the association relation between telemetry, remote signaling, remote control, protection signals, alarm information and equipment such as a breaker, a disconnecting link, a bus and the like, and retrieves maintenance information, fault information, defect information and operation information through equipment ID so as to realize data integration based on the equipment.
In the modeling process, the system adopts a natural language processing technology to extract equipment keywords from running management data such as a machine account, overhaul, faults, defects, logs and the like in an OCS system and an OMS system, establishes association with equipment, takes equipment ID as a center, adopts a mode of locating main equipment at intervals, and establishes association relation between OCS monitoring information, alarm information, measurement data, operation data, position states and equipment such as a switch, a disconnecting link, a bus and the like.
The specific implementation method of the steps is as follows:
according to the equipment type, equipment state and influence on a power grid in different states, carrying out power grid equipment analysis modeling to obtain a power grid equipment analysis model;
according to the topology of the power grid, analyzing the wiring modes of each interval in the power grid, the equipment at each position in the interval and the connection relation among the intervals, and performing power grid wiring mode analysis modeling to obtain a power grid wiring mode analysis model;
according to the method, the power grid operation mode analysis modeling is carried out according to whether various devices are in an operation state or not, and a power grid operation mode analysis model is obtained.
Step 2, multi-dimensional power grid operation mode identification model
On the basis of a power grid operation mode analysis model, in order to prevent data abnormality in remote signaling state information, a multi-dimensional power grid operation mode identification model such as an associated signal judgment model, a tripping event analysis model, a causality relation model and the like is established, related data are subjected to cross identification, and the operation mode of a power grid is comprehensively judged.
The multidimensional power grid operation mode identification model can analyze the topology of a power grid, and the states of a transformer, a circuit and a bus are determined by combining the on-off states of a switch, a disconnecting link and a ground knife; the operation state of the equipment is comprehensively judged by combining the overhaul application, the operation ticket and the overhaul hanging information; and comprehensively judging abnormal power grid operation states by combining telemetry data and power grid topology.
Step 3, clustering information by taking power grid equipment as center
The method comprises the steps of establishing a data association relation between an original signal and a standard signal and an association relation between the standard signal and an event rule base based on data identification and data cleaning of monitoring data, and meanwhile, according to the event rule base, blocking and packaging the data into monitoring events of tripping information, operation, accompaniment, overhaul and debugging, AVC information, monitoring defects, other topics and the like, so as to realize equipment monitoring alarm information clustering taking a power grid event as a center.
Based on the power grid wiring mode and the operation mode analysis model, the operation mode of the power grid is analyzed, the maintenance window period of each device is judged on the basis of cross identification with maintenance application and the like, and maintenance and debugging information in the alarm information is identified.
And identifying a fault tripping event according to the fault tripping model, and judging a time sequence abnormal signal in the tripping event. And carrying out association analysis on the generation source of the tripping event, the action condition of the automatic switching device and the like according to a causal relationship model related to the tripping event.
Identifying and extracting associated signals based on the running mode of the power grid according to the operation associated model; furthermore, the AVC operation information, remote control operation information, interval corresponding master equipment and the like are combined to distinguish the operation and the AVC condition.
Step 4, reasoning and judging false sending signals
In this step, according to the association relationship between signals and the topological relationship between devices, a false signal identification model is established, and the false signal and the suspicious signal are analyzed and judged, so that the specific situations of the false signal are as follows:
(1) Switching on and switching off, disconnecting link and ground knife switching position change in a short time;
(2) The protection exits, the interval accident assembly, the total station accident assembly and the like which are independently occurred;
(3) Shift information of a large number of devices of the same substation, which occur at the same time (such problems may be caused by restarting devices such as a switch);
(4) The switch and disconnecting link information is in an abnormal state (such as switch closed and disconnecting link open) for a long time;
(5) The shift information and the current state do not match (may be missed information or misinformation).
The invention is applicable to the prior art where it is not described.
It should be emphasized that the examples described herein are illustrative rather than limiting, and therefore the invention includes, but is not limited to, the examples described in the detailed description, as other embodiments derived from the technical solutions of the invention by a person skilled in the art are equally within the scope of the invention.
Claims (6)
1. An analysis method for monitoring false alarm signals is characterized in that: the method comprises the following steps:
step 1, modeling power grid operation monitoring data taking equipment as a center to obtain a power grid operation monitoring data model;
step 2, establishing a multi-dimensional power grid operation mode identification model according to the power grid operation monitoring data model;
step 3, clustering information by taking the power grid equipment as a center;
and 4, establishing a false signal identification model, and reasoning and judging false signals.
2. The method for analyzing false alarm signal according to claim 1, wherein: the specific implementation method of the step 1 is as follows: the method for modeling the power grid operation monitoring data by taking equipment as the center establishes the association relation between telemetry, remote signaling, remote control, protection signals and alarm information and circuit breakers, disconnecting links and buses, and retrieves maintenance information, fault information, defect information and operation information through equipment ID, so that the data integration based on the equipment is realized, and a power grid operation monitoring data model is established.
3. The method for analyzing false alarm signal according to claim 2, wherein: the power grid operation monitoring data model comprises a power grid equipment analysis model, a power grid wiring mode analysis model and a power grid operation mode analysis model, wherein:
grid equipment analysis model: according to the type of the equipment, the state of the equipment and the influence on a power grid in different states;
and (3) analyzing a power grid wiring mode analysis model: analyzing the connection mode of each interval in the power grid, the equipment at each position in the interval and the connection relation among the intervals according to the power grid topology, and performing power grid connection mode analysis modeling;
analysis model of power grid operation mode: and according to whether various devices are in an operating state, carrying out analysis modeling on the power grid operation mode.
4. The method for analyzing false alarm signal according to claim 1, wherein: step 2, on the basis of the power grid operation mode analysis model, establishing a multi-dimensional power grid operation mode identification model as follows: a companion signal judgment model, a tripping event analysis model and a causal relationship model.
5. The method for analyzing false alarm signal according to claim 1, wherein: the specific implementation method of the step 3 is as follows: based on the data identification and data cleaning of the monitoring data, the data association relation between the original signal and the standard signal and the association relation between the standard signal and the event rule base are established, meanwhile, according to the event rule base, the tripping information, the operation and the accompaniment, the overhaul and debugging, the AVC information and the monitoring defects are packaged in blocks, and the equipment monitoring alarm information clustering taking the power grid event as the center is realized.
6. The method for analyzing false alarm signal according to claim 1, wherein: the specific implementation method of the step 4 is as follows: according to the association relation between signals and the topological relation between devices, a false sending signal identification model is established, and the following monitoring alarm signals are analyzed and judged:
the method comprises the steps of opening and closing a switch, a disconnecting link and a ground knife in a short time;
the protection outlets, the interval accidents are total and the total station accidents are caused independently;
the displacement information of a large number of devices of the same transformer substation appears at the same time;
the information of the switch and the disconnecting link is in an abnormal state for a long time;
and fifthly, the shift information is not matched with the current state.
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