CN111596157A - Power system fault condition prediction method, device, system and storage medium - Google Patents
Power system fault condition prediction method, device, system and storage medium Download PDFInfo
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Abstract
The invention provides a method, a device and a system for predicting a fault condition of a power system and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: when the power system fails, acquiring integral abnormal data of the power system, wherein the integral abnormal data of the power system comprises abnormal data of the running condition of a power facility; acquiring actual operation state data of the electric power facility acquired by the information acquisition equipment, and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data; and fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system. The method and the device have the advantages that the prediction result of the fault condition of the power system is automatically obtained, the time for obtaining the damage information of the power facilities is shortened, and the working efficiency of emergency disposal is further improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a device and a system for predicting a fault condition of a power system and a storage medium.
Background
When a large-scale natural disaster occurs, the power system is easily damaged, thereby causing a power failure. However, the power failure of the power system will increase the difficulty of the whole post-disaster reconstruction, and how to quickly recover the power supply and how to quickly grasp the damage of the power facility is the first problem of reducing the burden of the post-disaster reconstruction.
In the existing implementation methods, most of the methods of manual inspection or unmanned aerial vehicle high-altitude inspection are used for mastering the damage condition of the power facility and checking the power supply condition, and although the two methods can directly master the damage information of the power facility, a large amount of time is needed, and the working efficiency of emergency treatment in the whole post-disaster reconstruction is possibly influenced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, a system, and a storage medium for predicting a fault condition of an electrical power system, so as to solve the problem in the prior art that emergency handling work efficiency is low due to long time consumption for acquiring damage information of an electrical power facility.
According to a first aspect, an embodiment of the present invention provides a method for predicting a fault condition of an electrical power system, including:
when a power system fails, acquiring integral abnormal data of the power system, wherein the integral abnormal data of the power system comprises abnormal data of the running condition of a power facility;
acquiring actual operation state data of the electric power facility acquired by information acquisition equipment, and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data;
and fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
With reference to the first aspect, in a first embodiment of the first aspect, the method further includes:
acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, power system facility data, disaster data and environment data;
performing simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility;
and fusing the electric power facility fault prediction result with the overall abnormal data of the electric power system and the abnormal data of the actual operation condition of the electric power facility to obtain the electric power system fault condition prediction result.
With reference to the first embodiment of the first aspect, in a second embodiment of the first aspect, the step of acquiring meteorological data in the simulation data includes:
acquiring initial meteorological data acquired by meteorological data acquisition equipment;
and performing weather simulation according to the initial weather data, and obtaining the weather data according to a simulation result.
According to a second aspect, an embodiment of the present invention provides an apparatus for predicting a fault condition of an electric power system, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring overall abnormal data of the power system when the power system fails, and the overall abnormal data of the power system comprises abnormal data of the operation condition of power facilities;
the second acquisition module is used for acquiring the actual operation state data of the electric power facility acquired by the information acquisition equipment and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data;
and the third acquisition module is used for fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
With reference to the second aspect, in a first embodiment of the second aspect, the method further includes:
the fourth acquisition module is used for acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, power system facility data, disaster data and environmental data;
the fifth acquisition module is used for carrying out simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility;
and the sixth acquisition module is used for fusing the electric power facility fault prediction result with the electric power system overall abnormal data and the electric power facility actual operation condition abnormal data to obtain an electric power system fault condition prediction result.
With reference to the second aspect, in a second embodiment of the second aspect, a fourth module includes:
the first acquisition submodule is used for acquiring initial meteorological data acquired by meteorological data acquisition equipment;
and the second obtaining submodule is used for carrying out meteorological simulation according to the initial meteorological data and obtaining the meteorological data according to a simulation result.
According to a third aspect, an embodiment of the present invention provides a power system fault condition prediction system, including:
the power dispatching monitoring system is used for acquiring overall abnormal data of the power system;
the information acquisition equipment is used for acquiring actual running state data of the electric power facility;
and the processor is connected with the power dispatching monitoring system and the information acquisition device, and is configured to execute the power system fault condition prediction method in the first aspect or any one implementation manner of the first aspect.
With reference to the third aspect, in a first embodiment of the third aspect, the information acquisition device includes a plurality of sensors, and the sensors are integrated with a backup battery, and the backup battery is used for supplying power to the sensors when the system power supply fails.
With reference to the third aspect, in a second embodiment of the third aspect, the method further includes:
the display device is connected with the processor and used for displaying the prediction result of the fault condition of the power system;
and the storage device is connected with the processor and is used for storing the prediction result of the fault condition of the power system.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the power system fault condition prediction method described in the first aspect or any one of the implementation manners of the first aspect.
The technical scheme provided by the embodiment of the invention has the following advantages:
the method comprises the steps of acquiring abnormal data of the power system and actual operation state data of the power facility acquired by the information acquisition equipment, and fusing the abnormal data of the power system and the actual operation state data of the power facility acquired by the information acquisition equipment, so that the fault condition prediction result of the power system is automatically acquired, the damage information acquisition duration of the power facility is reduced, and the work efficiency of emergency disposal is further improved.
In addition, simulation data are utilized to carry out simulation prediction on the power facility fault, and the influence of various parameters on the power facility is simulated, so that the influence of the various parameters on the power facility is considered while the power system fault condition prediction result is automatically obtained, and the accuracy of the power system fault condition prediction result is further improved.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
fig. 1 is a flowchart of a method for predicting a fault condition of an electrical power system according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for predicting a fault condition of an electrical power system according to an embodiment of the present invention;
fig. 3 is a block diagram of a power system fault condition prediction apparatus according to an embodiment of the present invention;
fig. 4 is a block diagram of a system for predicting a fault condition of an electrical power system according to an embodiment of the present invention;
fig. 5 is a block diagram of a system for predicting a fault condition of an electrical power system according to an embodiment of the present invention.
Reference numerals
10-a first acquisition module; 20-a second acquisition module; 30-a third acquisition module; 100-a power dispatching monitoring system; 101-an information acquisition device; 102-a processor; 103-a display device; 104-a storage device; 200-a front-end system; 201-a backend system; 202-I/O module; 203-a visualization engine; 204-a communication interface; 205-equipment facility parameter information base; 206-a power grid operation condition information analysis module; 207-facility sensor information analysis module; 208-facility damage simulation module; 209-weather simulation module; 210-a power grid damage condition information base; 211-meteorological department; 212-weather information Collection device.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "first" to "sixth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In order to automatically acquire the prediction result of the fault condition of the power system, reduce the acquisition time of the damage information of the power facilities and further improve the working efficiency of emergency disposal. Referring to fig. 1, a flowchart of a method for predicting a fault condition of a power system according to an embodiment of the present invention is shown, where the method for predicting a fault condition of a power system includes the following steps:
and S10, when the power system has a fault, acquiring the overall abnormal data of the power system, wherein the overall abnormal data of the power system comprises the abnormal data of the operation condition of the power facility.
In this embodiment, the overall abnormal data of the power system may be extracted from the power dispatching monitoring system, and the damage condition of the power facility in the power system may be analyzed. Specifically, the overall abnormal data of the power system may include information such as operating conditions of each power station, operating conditions of a transformer substation and a converter station, and operating conditions of a power transmission line, or may be real-time power transmission information. When the power system is in fault, the obtained overall abnormal data of the power system can be used for calculating the possible fault problem of each power facility according to the overall abnormal data of the power system. For example: when power failure occurs in the area B in the city A, the whole abnormal data of the power system can be extracted from the power dispatching monitoring system, the power supply condition in the area B can be checked, and the abnormal operation of the power transmission line in the area B or the damage of part of power facilities in the area B can be preliminarily judged to enable the power system to generate the abnormal data.
And S11, acquiring the actual operation state data of the electric power facility acquired by the information acquisition equipment, and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data.
In this embodiment, the abnormal data of the actual operating condition of the electric power facility may be obtained by acquiring the actual operating condition data of the electric power facility through a sensor installed on the electric power facility, and analyzing a damage result of the electric power facility according to a change condition of the actual operating condition data of the electric power facility.
Specifically, different sensors such as a height sensor, an angle sensor, an infrared sensor, an electromagnetic sensor and the like are mounted on each electric power facility, the state information of the electric power facility is collected by the sensors, and the damage result of the electric power facility is analyzed from the state information. Optionally, under normal conditions, the sensors on each power facility may perform timing data acquisition by preset time, or may perform real-time data acquisition.
For example: when the power system breaks down, if the angle sensor arranged on the tower changes the angle, the tower is collapsed; or shooting the power equipment through the infrared sensor, and if the power equipment stops heating, judging that the power equipment stops running; or a height sensor installed at the center of the transmission line, if the height of the sensor is reduced, the line can be judged to be cut off.
In addition, in the present embodiment, in order to ensure that the sensors provided at the respective electric facilities can operate without supplying power to the power system. Therefore, each sensor is provided with a standby battery and a communication module, the standby battery supplies power to the sensors and the communication module, and each sensor acquires data and sends the acquired data to the processor through the communication module to predict the fault condition of the power system. Wherein the communication module performs data transmission through a communication network.
And S12, fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
In this embodiment, the acquired overall abnormal data of the power system and the abnormal data of the actual operating conditions of the power facilities are subjected to data complementation, so as to obtain a prediction result of the fault conditions of the power system. For example: the power failure range of a certain target failure region is obtained in the overall abnormal data of the power system, and then the failure range is narrowed to a specific power facility in the range of the target failure region according to the abnormal data of the actual operation condition of the power facility.
Another example is: it is known that a target fault area a is determined in a general power system, data information acquired by sensors on all power equipment is acquired, and the data information acquired by the sensors is complemented in the area a to obtain sensor data of power facilities in the area a. If the difference between the collected data and the preset data is detected or the data collected by the sensor cannot be obtained, the power equipment can be considered to be damaged, and therefore the prediction result of the fault condition of the power system can be automatically obtained.
In this embodiment S10 to S12, when the power system fails, the overall abnormal data of the power system and the abnormal data of the actual operating condition of the power facility are acquired, and the two data are complemented with each other, so that the prediction result of the failure condition of the power system is automatically acquired, the acquisition duration of the damage information of the power facility is reduced, and the work efficiency of emergency treatment is further improved. And the sensors are arranged on the electric power facilities, and the sensors are utilized to collect data of the electric power facilities, so that a further result of predicting the fault condition of the electric power system is obtained.
In an alternative embodiment, as shown in fig. 2, a flowchart of a further method for predicting a fault condition of an electric power system according to an embodiment of the present invention may specifically be, after S11:
and S111, acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, power system facility data, disaster data and environment data.
In this embodiment, the meteorological data may be data collected after a power system failure. Data after the power system breaks down are collected, so that the power system fault prediction result is more accurate. Alternatively, the meteorological data may be data acquired by a meteorological department. Alternatively, the power system facility data may be parameter information of the size, material, structure, etc. of the power facility. Alternatively, the power system facility data and the terrain data and environmental data may be pre-stored data, and the data may not be detected in real time. Data can be quickly called from the memory through the pre-stored data, so that the data acquisition time is reduced, and the efficiency of emergency disposal work is improved.
For example: since the geographic information and the environmental information around the electric power facility are rarely changed, the corresponding data can be used for a long time only by acquiring the geographic information and the environment around the electric power facility once or periodically. Another example is: when the power system facility data is in the construction state of the power facility, the structure and parameters of the power system facility data can be recorded in the corresponding enterprise. And subsequently, only data is required to be acquired from a specified storage area during simulation, wherein the specified storage area can be a storage device. Or corresponding electric power facility information is extracted from a place where the enterprise is recorded regularly, or information acquisition is directly carried out when a new facility is built, and acquired data are sent to a storage device for data retrieval at any time.
And S112, carrying out simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility.
In this embodiment, the power facility fault condition may be subjected to simulation calculation through a physical simulation algorithm to obtain a prediction result corresponding to the power facility fault. For example: the method can be used for simulating the earthquake vibration stress or typhoon stress result of the transmission tower and calculating whether the tower collapses or not so as to give a fault prediction result of the transmission tower.
And S113, fusing the power facility fault prediction result with the overall power system abnormal data and the power facility actual operation condition abnormal data to obtain a power system fault condition prediction result.
In this embodiment, the power facility fault prediction result needs to be subjected to data complementation with the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility, so as to obtain a complete data prediction result.
Specifically, if the power facility fault prediction result cannot be obtained, the power facility fault prediction result can be predicted and supplemented through the simulation model, so that a more accurate prediction result is obtained. If the result of the simulation model is different from the abnormal data of the actual operation condition of the electric power facility, the result of the abnormal data of the actual operation condition of the electric power facility can be directly reserved, so that the accuracy of the prediction result can be ensured; and if the result of the abnormal data of the actual operation condition of the electric power facility is different from the abnormal data of the whole electric power system, preferentially retaining the result of the abnormal data of the actual operation condition of the electric power facility.
The result of selecting the abnormal data of the actual operation condition of the electric power facility is that the result data of the abnormal data of the actual operation condition of the electric power facility is more consistent with the actual detection result. The results of the power facility actual operating condition anomaly data are thus selected, which results in power system fault condition prediction results that are more favorable to the fault condition of the actual power system. Furthermore, the prediction result is closer to the actual situation, so that the working efficiency of emergency disposal is improved.
In an optional embodiment, before S113, the method further includes:
1) and acquiring initial meteorological data acquired by meteorological data acquisition equipment.
In this embodiment, the initial meteorological data may be meteorological data published according to a meteorological department (e.g., a meteorological office). Or the meteorological data in the surrounding environment can be collected by the collecting device. Wherein, meteorological data collection system can be wind profile radar, meteorological balloon etc..
Optionally, the meteorological data acquisition device may be configured to temporarily acquire meteorological data within a fault range of the power system. For example: when the power system breaks down, a plurality of data acquisition devices which can independently operate can be deployed around the emergency command center to acquire surrounding meteorological data and perform meteorological simulation by using the acquired meteorological data.
2) And performing meteorological simulation according to the initial meteorological data, and obtaining meteorological data according to a simulation result. In this embodiment, the simulated meteorological data can be obtained by simulating the surrounding meteorological environment in which the power system fails by using the existing meteorological simulation model.
By simulating meteorological data, the interference of environmental factors to the power system is considered in the fault condition prediction, so that the accuracy of the electric power facility damage information result prediction is further improved when the power system fails, the time length for acquiring the electric power facility damage information is shortened, and the emergency disposal working efficiency is further improved.
Optionally, when the backup battery of any one of the sensors in S11 is exhausted, neither the sensor nor the communication module can work normally, and at this time, S111 to S113 need to be executed to perform fault prediction on the power system, so as to ensure that a relatively accurate power system fault condition prediction can be obtained, so as to realize automatic power system fault condition prediction, reduce power facility damage information acquisition time, and improve emergency disposal work efficiency.
Optionally, in this embodiment, the prediction result of the power system fault condition may be displayed in a form of a graph. The prediction result of the fault condition of the power system is displayed in a chart form, the fault of the power system can be analyzed visually, and the work efficiency of emergency disposal is improved.
The technical scheme provided by the embodiment of the invention has the following advantages: the method comprises the steps of acquiring abnormal data of the power system and actual operation state data of the power facility acquired by the information acquisition equipment, and fusing the abnormal data of the power system and the actual operation state data of the power facility acquired by the information acquisition equipment, so that the fault condition prediction result of the power system is automatically acquired, the damage information acquisition duration of the power facility is reduced, and the work efficiency of emergency disposal is further improved.
In addition, simulation data are utilized to carry out simulation prediction on the power facility fault, and the influence of various parameters on the power facility is simulated, so that the influence of the various parameters on the power facility is considered while the power system fault condition prediction result is automatically obtained, and the accuracy of the power system fault condition prediction result is further improved.
The embodiment also discloses a power system fault condition prediction device, as shown in fig. 3, which is a schematic structural diagram of the power system fault condition prediction device, and the power system fault condition prediction device includes: a first obtaining module 10, a second obtaining module 20, and a third obtaining module 30, wherein:
the first obtaining module 10 is configured to obtain overall abnormal data of the power system when the power system fails, where the overall abnormal data of the power system includes abnormal data of an operation condition of a power facility;
the second obtaining module 20 is configured to obtain actual operation state data of the electric power facility, which is collected by the information collecting device, and obtain abnormal data of an actual operation condition of the electric power facility according to the actual operation state data;
and the third obtaining module 30 is configured to fuse the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
In an alternative embodiment, the method comprises:
the fourth acquisition module is used for acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, facility data of the power system, disaster data and environmental data;
the fifth acquisition module is used for carrying out simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility;
and the sixth acquisition module is used for fusing the electric power facility fault prediction result with the overall abnormal data of the electric power system and the abnormal data of the actual operation condition of the electric power facility to obtain the electric power system fault condition prediction result.
In an optional embodiment, the fourth module may further include:
the first acquisition submodule is used for acquiring initial meteorological data acquired by meteorological data acquisition equipment;
and the second acquisition submodule is used for carrying out meteorological simulation according to the initial meteorological data and obtaining meteorological data according to a simulation result.
For details of the first to sixth obtaining modules, the first obtaining sub-module, and the second obtaining sub-module, please refer to the above power system fault prediction method, which is not described herein again.
The embodiment also discloses a power system fault condition prediction system, as shown in fig. 4, which is a structural block diagram of the power system fault condition prediction system, and the power system fault condition prediction system includes a power dispatching monitoring system 100, an information acquisition device 101, a processor 102, a display device 103, and a storage device 104; wherein:
the power dispatching monitoring system 100 is used for acquiring overall abnormal data of the power system; for example: the abnormal data of the whole power system can be the loss of power supply information of a certain area, and the loss reason can be the damage of a line or equipment.
The information acquisition equipment 101 is used for acquiring actual running state data of the electric power facility; optionally, the information collecting device 101 includes a plurality of sensors, and the sensors are integrated with a backup battery, and the backup battery is used for supplying power to the sensors when the system fails to supply power.
The information collecting device 101 may be a sensor installed in an electric power facility, and the information collecting device 101 may perform individual data collection or parallel data collection. For example: the information collecting device 101 is an angle sensor, and the processor 102 can control the angle sensor on a single electric power facility to collect data, or can directly control the angle sensors on a plurality of electric power facilities to collect data simultaneously. The work efficiency of emergency disposal can be improved by simultaneously acquiring data.
And the processor 102 is connected with the power dispatching monitoring system 100 and the information acquisition device 101, and is configured to execute the power system fault condition prediction method provided in the foregoing embodiment.
In an optional embodiment, the method further comprises:
and the display device 103 is connected with the processor 102 and is used for displaying the prediction result of the power system fault condition. Wherein the display device 103 may be a display screen.
And the storage device 104 is connected with the processor 102 and is used for storing the prediction result of the fault condition of the power system.
Optionally, in this embodiment, as shown in fig. 5, the power system fault condition prediction system may further include a front-end system 200 and a back-end system 201.
Among them, the front-end system 200 includes:
the I/O module 202 is a functional module for performing local manual input/output processing and executing reading and output processing of data in different formats. The visualization engine 203 (i.e., the display device 103 in this embodiment) is configured to convert the power facility damage condition into a map visualization mode corresponding to the geographic information system in technology, and display the relevant condition data as a whole. The communication interface 204 is used for processing software function modules of different communication modes including satellite communication, mobile communication, Wi-Fi and the like.
The backend system 201 (i.e., the processor 102 and the storage device 104 in this embodiment) specifically includes:
the equipment facility parameter information base 205 includes parameters such as the size, shape, height, inter-component connection and the like of the transmission tower, the transformer substation and other facility equipment. And the grid operating condition information analysis module 206 is configured to analyze the relevant information extracted from the power dispatching monitoring system 100 and obtain a power facility equipment damage condition. The facility sensor information analysis module 207 is configured to obtain information sent by the information collection device 101 (e.g., a sensor on an electric power facility) and obtain a damage condition of the electric power facility according to the information sent by the information collection device. The facility damage simulation module 208 is a software module for performing simulation operation on the power facility parameters, the meteorological data and the disaster data, and the algorithm used in the facility damage simulation module is a general finite element algorithm and other various disaster damage physical models. And the weather simulation module 209 is used for performing weather model deduction on the disaster area based on weather data issued by the weather part or weather data acquired by the weather part, so as to obtain a detailed weather simulation result in the disaster area. And the grid damage condition information base 210 comprises electric facilities obtained by various analysis and simulation results.
For example: as shown in fig. 5, the power system fault condition prediction system is built in with an equipment real-time parameter information base (i.e. an equipment facility parameter information base 205), and the equipment real-time parameter information base provides data for the facility damage simulation module 208 and performs power facility damage simulation. If the meteorological department 211 cannot meet the data requirement, the calculation result of the meteorological simulation module 209 provides basic meteorological data for the facility damage simulation module 208; its meteorological information acquisition equipment 212 (e.g., wind profile radar, meteorological balloon) transmits data to the meteorological simulation module 209 via the communication interface 204 of the front end; if the meteorological department 211 is able to meet the data requirements, the data provided by the meteorological department 211 will be transmitted to the facility damage simulation module 208 and the meteorological simulation module 209 via the front-end communications interface 204; the signal collected by the information collecting device 101 is transmitted to the facility sensor information analyzing module 207 via the front-end communication interface 204; data of the power dispatching monitoring system 100 is transmitted to the power grid operation condition information analysis module 206 through the front-end communication interface 204, and finally, a power system fault condition prediction result is output after data fusion.
The embodiment discloses a method, a device and a system for predicting a fault condition of a power system. The abnormal data of the power system and the actual operation state data of the power facility collected by the information collection equipment are obtained, and then the abnormal data of the power system and the actual operation state data of the power facility collected by the information collection equipment are fused, so that the fault condition prediction result of the power system is automatically obtained, the damage information acquisition duration of the power facility is reduced, and the work efficiency of emergency disposal is further improved.
The simulation data is utilized to carry out simulation prediction on the power facility fault, and the influence of various parameters on the power facility is simulated, so that the influence of various parameters on the power facility is considered while the power system fault condition prediction result is automatically obtained, and the accuracy of the power system fault condition prediction result is further improved.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, and the program can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A method for predicting a fault condition of an electric power system, comprising:
when a power system fails, acquiring integral abnormal data of the power system, wherein the integral abnormal data of the power system comprises abnormal data of the running condition of a power facility;
acquiring actual operation state data of the electric power facility acquired by information acquisition equipment, and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data;
and fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
2. The method of claim 1, further comprising:
acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, power system facility data, disaster data and environment data;
performing simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility;
and fusing the electric power facility fault prediction result with the overall abnormal data of the electric power system and the abnormal data of the actual operation condition of the electric power facility to obtain the electric power system fault condition prediction result.
3. The method of claim 2, wherein the step of obtaining meteorological data in simulated data comprises:
acquiring initial meteorological data acquired by meteorological data acquisition equipment;
and performing weather simulation according to the initial weather data, and obtaining the weather data according to a simulation result.
4. An apparatus for predicting a fault condition in an electrical power system, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring overall abnormal data of the power system when the power system fails, and the overall abnormal data of the power system comprises abnormal data of the operation condition of power facilities;
the second acquisition module is used for acquiring the actual operation state data of the electric power facility acquired by the information acquisition equipment and acquiring abnormal data of the actual operation condition of the electric power facility according to the actual operation state data;
and the third acquisition module is used for fusing the overall abnormal data of the power system and the abnormal data of the actual operation condition of the power facility to obtain a prediction result of the fault condition of the power system.
5. The apparatus of claim 4, further comprising:
the fourth acquisition module is used for acquiring simulation data, wherein the simulation data comprises meteorological data, topographic data, power system facility data, disaster data and environmental data;
the fifth acquisition module is used for carrying out simulation prediction on the fault condition of the electric power facility based on the simulation data to obtain a fault prediction result of the electric power facility;
and the sixth acquisition module is used for fusing the electric power facility fault prediction result with the electric power system overall abnormal data and the electric power facility actual operation condition abnormal data to obtain an electric power system fault condition prediction result.
6. The apparatus of claim 5, wherein the fourth obtaining module comprises:
the first acquisition submodule is used for acquiring initial meteorological data acquired by meteorological data acquisition equipment;
and the second obtaining submodule is used for carrying out meteorological simulation according to the initial meteorological data and obtaining the meteorological data according to a simulation result.
7. A power system fault condition prediction system, comprising:
the power dispatching monitoring system is used for acquiring overall abnormal data of the power system;
the information acquisition equipment is used for acquiring actual running state data of the electric power facility;
a processor connected to the power dispatching monitoring system and the information collecting device, for executing the power system fault condition prediction method of any one of the claims 1 to 3.
8. The system of claim 7, wherein the information gathering device comprises a plurality of sensors integrated with a battery backup for providing power to the sensors in the event of a system power failure.
9. The system of claim 7, further comprising:
the display device is connected with the processor and used for displaying the prediction result of the fault condition of the power system;
and the storage device is connected with the processor and is used for storing the prediction result of the fault condition of the power system.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the power system fault condition prediction method of any one of claims 1-3.
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