CN109741653B - Intelligent power failure emergency treatment training simulation method based on reasoning - Google Patents
Intelligent power failure emergency treatment training simulation method based on reasoning Download PDFInfo
- Publication number
- CN109741653B CN109741653B CN201811634722.7A CN201811634722A CN109741653B CN 109741653 B CN109741653 B CN 109741653B CN 201811634722 A CN201811634722 A CN 201811634722A CN 109741653 B CN109741653 B CN 109741653B
- Authority
- CN
- China
- Prior art keywords
- fault
- equipment
- power
- faults
- simulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Abstract
The invention discloses an intelligent power failure emergency treatment training simulation method based on reasoning, which is characterized by comprising the following steps: the method simulates the occurrence of various power equipment faults, completely records the emergency treatment process of the power operation and maintenance personnel, and intelligently judges the emergency treatment process of the accidents. The invention is convenient for the electric power operation and maintenance personnel to carry out practical operation and training in the simulation environment, accumulates accident handling experience and improves emergency handling capacity.
Description
Technical Field
The invention relates to an emergency treatment training simulation system for simulating fault scenes of various power equipment, and belongs to the technical field of power system training simulation systems.
Background
Industrial enterprises such as petrifaction enterprises and coal mines which have high requirements on power supply reliability are few in experience accumulation of electric power operation and maintenance personnel for handling electric power faults due to the fact that electric power faults rarely occur at ordinary times, and capacity of actually performing emergency treatment is weak. Therefore, a complete power failure emergency treatment simulation system is needed to perform panoramic simulation training on power operation and maintenance personnel.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the prior art, the invention provides an intelligent power failure emergency treatment training simulation system based on reasoning, which is convenient for power operation and maintenance personnel to perform actual operation training in a simulation environment, accumulates accident treatment experience and improves emergency treatment capacity.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent power failure emergency treatment training simulation method based on reasoning specifically comprises the following steps:
And 2, generating fault equipment and electrical events influencing the equipment according to the fault category and the topological relation, and simulating the occurrence of various power equipment faults, wherein the simulation of various power equipment faults comprises the simulation of line faults, the simulation of equipment faults, the simulation of actions of an automatic device and the simulation of the cooperation of multi-stage protection actions.
And 3, the simulation alarm service carries out alarm popup according to the electrical events of each monitoring device to inform students.
And 4, according to the protection and automatic device switching conditions set by the teaching plan, the protection and automatic device starts to detect whether the export conditions are met.
And 5, responding to the switch to start displacing when the exit condition is met.
And 6, simulating all operation steps of the power operation and maintenance personnel in the power processing process, and providing an operation playback function.
And 7, intelligently judging the accident emergency treatment process.
Step 701, automatically analyzing the fault equipment and the fault reason thereof by combining the power grid topology information according to the occurrence time of the action signal.
And step 702, analyzing the correctness of each operation step based on the fault positioning result and the fault emergency treatment procedure of the power equipment, and giving professional explanation and explanation.
In step 703, in the processing process, the trainee judges the fault position according to the alarm information, the state information of the device and the measuring point information, and adopts a corresponding strategy to isolate the fault device and recover the power supply of the non-fault area according to the judged fault position. In the operation processing process, a topological tree structure of the power grid is modified by using a topological analysis algorithm, and a final new tree structure is obtained by furthest reserving non-fault nodes of the tree and removing fault nodes by using the switch equipment. And each obtained final tree structure is identified by a unique code, and the correctness of the operation of the student is judged by calculating whether the topological code of the final network is consistent with the expected code.
Further: the operation violating the constraint rules in the operation processing process of the student is recorded, the emergency plan rules are dynamically configured and closely related to a specific production business process, and the constraint rules of the production business process, the transformer substation anti-error rules and the power system power flow constraint static safety and stability rules are organically unified by using an abstract frame and are embodied in the student assessment report with adjustable weights.
The method for simulating the action of the automatic device comprises the following steps:
step 201, loading the configuration file of the automatic device from the case base.
In step 202, monitored equipment electrical event information of the robot is scanned.
In step 203, the monitored equipment reaches the setting state of the trigger, if yes, the step 204 is carried out, and if no, the step 3 is carried out.
Step 204, the monitored device reaches the set delay of the trigger. If yes, go to step 205, otherwise, start timer to delay for a period of time for detection, and go to step 202.
In step 205, the robot acts to push alert information to the trainee.
And step 206, the outlet switch sequentially acts to send a switching-on/off signal to the event server.
And step 207, displaying the opening and closing information items in the alarm window for the students to refer.
The method for simulating the cooperation of the multilevel protection actions comprises the following steps:
step 211, loading the protection device configuration file from the case library.
At step 212, a fault event trigger is set to set an electrical event of the fault point associated device.
In step 213, the monitoring device electrical event information of the protection device is scanned.
In step 214, the monitored device reaches the triggered setup state, and if so, the process proceeds to step 215.
Step 215, the monitored device reaches the set delay of the trigger, if yes, step 216 is entered, if no, the timer is started to delay for a period of time and then the detection is entered step 213.
At step 216, the protection switch action sends a trip signal to the event server.
In step 217, the latest protection device operates correctly, if yes, the process proceeds to step 218, and if not, the upstream fault event information triggers a backup protection operation, and the process proceeds to step 2111.
In step 218, the event server receives the switch trip signal to perform network topology load flow balancing.
At step 219, the failure event for the upstream non-failed zone is reset.
Step 2110, setting a trip downstream equipment power loss event.
Step 2111, enter the automatic device response flow.
In step 6, all the operation steps of the power operation and maintenance personnel in the process of processing the power are completely recorded, and the process of providing the operation playback function is as follows:
step 601, operating record: and completely recording all operation processes of operation and maintenance personnel, including electrical equipment operation and contact report management links.
Step 602, operating playback: the emergency operation playback function is provided, and a technical means is provided for deeply analyzing the emergency operation process.
The simulation line faults comprise single-phase earth faults, interphase short circuits and three-phase short circuits.
The simulated equipment faults comprise transformer faults, capacitor faults and motor faults.
Compared with the prior art, the invention has the following beneficial effects:
the invention is convenient for the electric power operation and maintenance personnel to carry out practical operation and training in the simulation environment, accumulates accident handling experience and improves emergency handling capacity.
Drawings
FIG. 1 is a flow chart of fault simulation and protection automation device simulation
FIG. 2 is a line fault parameter set
FIG. 3 is a simulated equipment failure setting
FIG. 4 is a flow chart of the operation of the simulation robot
FIG. 5 is a flow chart of simulating the cooperation of multi-level protection actions
FIG. 6 is a schematic diagram of intelligent evaluation
Detailed Description
The present invention is further illustrated by the following description in conjunction with the accompanying drawings and the specific embodiments, it is to be understood that these examples are given solely for the purpose of illustration and are not intended as a definition of the limits of the invention, since various equivalent modifications will occur to those skilled in the art upon reading the present invention and fall within the limits of the appended claims.
An intelligent power failure emergency treatment training simulation method based on reasoning comprises the following core algorithms:
1) various power accident related signals are flexibly defined: various power equipment fault scenes are simulated by sending primary equipment action and protection action signals.
2) Panoramic simulation electric power accident emergency treatment link: and simulating all operation steps of the power operation and maintenance personnel in the power processing process, and protecting complete records.
3) And (3) intelligently judging the correctness of the operation steps: the system deeply analyzes and summarizes the electric power emergency treatment rules of large-scale industrial and enterprise, extracts the electric power operation rule reasoning rules, and intelligently judges the correctness of each operation step according to the equipment action signals and the network topology information.
As shown in fig. 1, the method comprises the following steps:
And 2, generating fault equipment and electrical events influencing the equipment according to fault types (including short circuit, overload, low voltage and power failure) and topological relations (power grid equipment connection relations), simulating various power equipment faults, wherein the simulation of various power equipment faults comprises the simulation of line faults, the simulation of equipment faults, the simulation of automatic device actions and the simulation of multi-stage protection action coordination. As shown in fig. 2, the simulated line faults include single-phase earth faults, inter-phase short circuits, and three-phase short circuits. As shown in fig. 3, the simulated equipment faults include transformer, capacitor, motor faults.
As shown in fig. 4, the method of simulating the operation of the robot (backup power automatic switching operation) is as follows:
step 201, loading the configuration file of the automatic device from the case base.
In step 202, monitored equipment electrical event information of the robot is scanned.
In step 203, the monitored equipment reaches the setting state of the trigger, if yes, the step 204 is carried out, and if no, the step 3 is carried out.
Step 204, the monitored device reaches the set delay of the trigger. If yes, go to step 205, otherwise, start timer to delay for a period of time for detection, and go to step 202.
In step 205, the robot acts to push alert information to the trainee.
And step 206, the outlet switch sequentially acts to send a switching-on/off signal to the event server.
And step 207, displaying the opening and closing information items in the alarm window for the students to refer.
As shown in fig. 5, the simulated multi-level protection action coordination includes a lower-level protection rejection action, resulting in an upper-level protection action. The method for simulating the cooperation of the multilevel protection actions comprises the following steps:
step 211, loading the protection device configuration file from the case library.
At step 212, a fault event trigger is set to set an electrical event of the fault point associated device.
In step 213, the monitoring device electrical event information of the protection device is scanned.
In step 214, the monitored device reaches the triggered setup state, and if so, the process proceeds to step 215.
Step 215, the monitored device reaches the set delay of the trigger, if yes, step 216 is entered, if no, the timer is started to delay for a period of time and then the detection is entered step 213.
At step 216, the protection switch action sends a trip signal to the event server.
In step 217, the latest protection device operates correctly, if yes, the process proceeds to step 218, and if not, the upstream fault event information triggers a backup protection operation, and the process proceeds to step 2111.
In step 218, the event server receives the switch trip signal to perform network topology load flow balancing.
At step 219, the failure event for the upstream non-failed zone is reset.
Step 2110, setting a trip downstream equipment power loss event.
Step 2111, enter the automatic device response flow.
And 3, the simulation alarm service carries out alarm popup according to the electrical events of each monitoring device to inform students.
And 4, according to the protection and automatic device switching conditions set by the teaching plan, the protection and automatic device starts to detect whether the export conditions are met.
And 5, responding to the switch to start displacing when the exit condition is met.
And 6, simulating all operation steps of the power operation and maintenance personnel in the power processing process, and providing an operation playback function.
In step 6, all the operation steps of the power operation and maintenance personnel in the process of processing the power are completely recorded, and the process of providing the operation playback function is as follows:
step 601, operating record: and completely recording all operation processes of operation and maintenance personnel, including electrical equipment operation and contact report management links.
Step 602, operating playback: the emergency operation playback function is provided, and a technical means is provided for deeply analyzing the emergency operation process.
As shown in fig. 6, in step 7, the accident emergency treatment process is intelligently judged, and the accident emergency treatment process is intelligently judged by an intelligent judgment module, so that the correctness of each operation step is intelligently reasoned and judged based on the electric power operation rules according to various equipment action signals and network topology information.
Step 701, intelligent fault location: and automatically analyzing the fault equipment and the fault reason thereof by combining the power grid topology information according to the occurrence time of the action signal.
Step 702, operating step correctness criterion: and analyzing the correctness of each operation step based on the fault positioning result and the fault emergency treatment rule of the power equipment, and giving professional explanation and explanation.
In step 703, the trainee determines the fault position according to the alarm information, the state information of the device and the measurement point information during the processing, and adopts corresponding strategies (such as switching on and off operation and protection switching on and off operation) to isolate the fault device and recover the power supply of the non-fault area according to the determined fault position. In the operation processing process, a topological tree structure of the power grid is modified by using a topological analysis algorithm (breadth-first traversal topological algorithm), and a final new power grid topological tree structure is obtained by furthest retaining non-fault nodes of the tree and removing fault nodes by using the switch equipment. And each obtained final tree structure is identified by a unique code, and the correctness of the operation of the student is judged by calculating whether the topological code of the final network is consistent with the expected code.
Further: the system also comprises emergency plan rules of an expert knowledge base (comprising user-defined emergency plan rules and default emergency plan rules based on the power system operation rules), the operation violating the constraint rules in the operation processing process of the trainees can be recorded, the emergency plan rules are dynamically configured and closely related to the specific production business process, and the constraint rules of the production business process, the transformer substation anti-error rules and the power system power flow constraint static safety and stability rules are organically unified by using an abstract frame and expressed in trainee assessment reports with adjustable weights.
The invention completely realizes all functions from fault simulation, emergency treatment to result judgment, and provides a panoramic simulation environment for emergency treatment and an intelligent judgment system for power operation and maintenance personnel. The system is applied to the power centralized control centers of large-scale industrial enterprises such as petrifaction enterprises, coal mines and the like, is a powerful means for training the fault emergency treatment capability of power operation and maintenance personnel, and has good effect.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (5)
1. An intelligent power failure emergency treatment training simulation method based on reasoning is characterized in that: the method comprises the following steps:
step 1, extracting fault equipment and fault parameter type setting from a case library;
step 2, generating fault equipment and electrical events influencing the equipment according to the fault category and the topological relation, simulating various power equipment faults, wherein the simulation of the various power equipment faults comprises the simulation of line faults, the simulation of equipment faults, the simulation of actions of an automatic device and the simulation of the coordination of multi-stage protection actions;
the method for simulating the action of the automatic device comprises the following steps:
step 201, loading configuration files of the automatic device from a case library;
step 202, scanning monitored equipment electrical event information of the automatic device;
step 203, the monitored equipment reaches a triggered setting state, if yes, step 204 is carried out, and if not, step 3 is carried out;
step 204, the monitored equipment reaches the set time delay of triggering; if yes, go to step 205, otherwise, start timer to delay for a period of time and then detect, go to step 202;
step 205, the automatic device acts to push alarm information to the student;
step 206, the outlet switch sequentially acts to send opening and closing signals to the event server;
step 207, displaying the opening and closing information items in the alarm window for the students to refer to;
the method for simulating the cooperation of the multilevel protection actions comprises the following steps:
step 211, loading a protection device configuration file from a case library;
step 212, triggering a fault event, and setting an electrical event of the fault point related equipment;
step 213, scanning the monitoring equipment electrical event information of the protection device;
step 214, the monitored equipment reaches the triggered setting state, if yes, the step 215 is entered;
step 215, the monitored device reaches the set delay of the trigger, if yes, step 216 is entered, if no, the timer is started to delay for a period of time and then the detection is entered step 213;
step 216, the protection switch acts to send a trip signal to the event server;
step 217, the latest protection device operates correctly, if yes, step 218 is performed, if not, the upstream fault event information triggers a backup protection operation, and step 2111 is performed;
step 218, the event server receives the switch trip signal to perform network topology load flow balancing;
step 219, resetting the fault event of the upstream non-fault area;
step 2110, setting a power failure event of tripping downstream equipment;
step 2111, entering the response flow of the automatic device;
step 3, the simulation alarm service carries out alarm popup according to the electrical events of each monitoring device to inform students;
step 4, according to the protection and automatic device switching conditions set by the teaching plan, the protection and automatic device starts to detect whether the export conditions are met;
step 5, responding to the switch to start displacement when the exit condition is met;
step 6, simulating all operation steps of the power operation and maintenance personnel in the power processing process, and providing an operation playback function;
step 7, intelligently judging the accident emergency treatment process;
step 701, automatically analyzing fault equipment and fault reasons thereof by combining power grid topology information according to the occurrence time of the action signal;
step 702, analyzing the correctness of each operation step based on the fault positioning result and the fault emergency treatment procedure of the power equipment, and giving professional explanation and explanation;
step 703, in the processing process, the student judges the fault position according to the alarm information, the state information of the equipment and the measuring point information, and adopts a corresponding strategy to isolate the fault equipment and recover the power supply of the non-fault area according to the judged fault position; in the operation processing process, a topological tree structure of the power grid is modified by using a topological analysis algorithm, and a final new tree structure is obtained by furthest reserving non-fault nodes of the tree and removing fault nodes by using the switch equipment; and each obtained final tree structure is identified by a unique code, and the correctness of the operation of the student is judged by calculating whether the topological code of the final network is consistent with the expected code.
2. The intelligent power failure emergency treatment training simulation method based on reasoning as claimed in claim 1, wherein: the operation violating the constraint rules in the operation processing process of the student is recorded, the emergency plan rules are dynamically configured and closely related to a specific production business process, and the constraint rules of the production business process, the transformer substation anti-error rules and the power system power flow constraint static safety and stability rules are organically unified by using an abstract frame and are embodied in the student assessment report with adjustable weights.
3. The intelligent power failure emergency treatment training simulation method based on reasoning as claimed in claim 2, wherein: in step 6, all the operation steps of the power operation and maintenance personnel in the process of processing the power are completely recorded, and the process of providing the operation playback function is as follows:
step 601, operating record: recording all operation processes of operation and maintenance personnel completely, including electrical equipment operation and contact reporting management links;
step 602, operating playback: the emergency operation playback function is provided, and a technical means is provided for deeply analyzing the emergency operation process.
4. The intelligent power failure emergency treatment training simulation method based on reasoning as claimed in claim 1, wherein: the simulation line faults comprise single-phase earth faults, interphase short circuits and three-phase short circuits.
5. The intelligent power failure emergency treatment training simulation method based on reasoning as claimed in claim 1, wherein: the simulated equipment faults comprise transformer faults, capacitor faults and motor faults.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811634722.7A CN109741653B (en) | 2018-12-29 | 2018-12-29 | Intelligent power failure emergency treatment training simulation method based on reasoning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811634722.7A CN109741653B (en) | 2018-12-29 | 2018-12-29 | Intelligent power failure emergency treatment training simulation method based on reasoning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109741653A CN109741653A (en) | 2019-05-10 |
| CN109741653B true CN109741653B (en) | 2021-05-04 |
Family
ID=66362262
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811634722.7A Active CN109741653B (en) | 2018-12-29 | 2018-12-29 | Intelligent power failure emergency treatment training simulation method based on reasoning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109741653B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111914401A (en) * | 2020-07-08 | 2020-11-10 | 国家电网有限公司 | Power communication network maintenance drilling method and system based on fault simulation |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN101958536A (en) * | 2010-09-20 | 2011-01-26 | 中国电力科学研究院 | Distribution network failure isolation and quick power service restoration decision support system |
| CN103227450A (en) * | 2013-04-26 | 2013-07-31 | 国家电网公司 | On-line failure recovery method and system |
| CN104064065A (en) * | 2014-06-23 | 2014-09-24 | 国家电网公司 | Distribution network fault simulation analysis training system implementation method |
| CN106781792A (en) * | 2016-11-21 | 2017-05-31 | 国网四川省电力公司技能培训中心 | A kind of power information emergency drilling training system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8352236B2 (en) * | 2008-10-16 | 2013-01-08 | Institute Of Nuclear Energy Research | Fault tree analysis system for the instrument control process for nuclear power plant with advanced boiling water reactor background |
-
2018
- 2018-12-29 CN CN201811634722.7A patent/CN109741653B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101944766A (en) * | 2010-06-01 | 2011-01-12 | 中国电力科学研究院 | Operation and safety monitoring simulation system for power system |
| CN101958536A (en) * | 2010-09-20 | 2011-01-26 | 中国电力科学研究院 | Distribution network failure isolation and quick power service restoration decision support system |
| CN103227450A (en) * | 2013-04-26 | 2013-07-31 | 国家电网公司 | On-line failure recovery method and system |
| CN104064065A (en) * | 2014-06-23 | 2014-09-24 | 国家电网公司 | Distribution network fault simulation analysis training system implementation method |
| CN106781792A (en) * | 2016-11-21 | 2017-05-31 | 国网四川省电力公司技能培训中心 | A kind of power information emergency drilling training system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109741653A (en) | 2019-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104578426B (en) | Detection method for information comprehensive analysis and intelligent alarming application | |
| CN107203816B (en) | Fault maintenance method and system for secondary equipment of power system | |
| CN108988487B (en) | Power grid power failure event identification method based on multidimensional data | |
| CN110941918A (en) | Intelligent substation fault analysis system | |
| CN111768076B (en) | Monitoring alarm signal clustering method taking power grid event as center | |
| US11740266B2 (en) | Systems and methods for monitoring energy-related data in an electrical system | |
| CN103208049A (en) | Quick accident analysis method and system for abnormal alarm | |
| CN105245001A (en) | Event-driven intelligent alarm processing method and device for transformer station accidents | |
| CN113629876A (en) | Test system and test method of special inspection module | |
| CN110350660B (en) | Online monitoring method and system for relay protection function pressing plate | |
| CN109741653B (en) | Intelligent power failure emergency treatment training simulation method based on reasoning | |
| CN104734353A (en) | Intelligent substation hovering fault monitoring method based on network message | |
| CN109149534B (en) | Method for rapidly diagnosing topological fault of power grid model based on DTS virtual switch | |
| CN111969709B (en) | Intelligent alarm method and system based on power system spare power automatic switching analysis | |
| CN113848471A (en) | Fault intelligent positioning method and system for relay protection system | |
| CN114172271B (en) | Intelligent alarm test method, system and equipment for online monitoring control function of master station | |
| CN104317203A (en) | Fault information full-process simulation method | |
| Xiaoyu et al. | The Effect of secondary-DC-loss Protection on the Reliability of substation protection system | |
| CN108923529B (en) | Intelligent substation secondary safety measure diagnosis method and system | |
| Teo et al. | Artificial intelligence in diagnosis and supply restoration for a distribution network | |
| CN106709158B (en) | Performance improvement method of power grid feeder automation system | |
| CN110674193A (en) | Intelligent substation relay protection fault information modeling method | |
| CN105610157B (en) | A kind of area power grid static security analysis system of failure driving | |
| CN204720973U (en) | A kind of relaying protection auxiliary monitoring treatment system | |
| CN112736878B (en) | Power grid cascading failure warning method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |