CN117439064A - Method and system for predicting potential safety hazard of power grid - Google Patents
Method and system for predicting potential safety hazard of power grid Download PDFInfo
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Abstract
The invention discloses a method and a system for predicting potential safety hazards of a power grid, wherein the method comprises the following steps: acquiring power data of a power grid line and power grid equipment, and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result; comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality, and if so, sending out a power grid abnormality alarm signal; and comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid to determine whether potential safety hazards exist in the power grid line and the power grid equipment, and if so, sending a potential safety hazard alarm signal to predict the potential safety hazards of the power grid system and improve the running safety of the power grid.
Description
Technical Field
The invention relates to the technical field of power grid systems, in particular to a method, a system and a storage medium for predicting potential safety hazards of a power grid.
Background
The power grid is an integral body formed by power transformation stations with various voltages and power transmission and distribution lines of a power system, and is used for regulating and controlling urban resident electricity and industrial electricity along with the development of modern society so as to ensure the stability of urban electricity and ensure the normal daily life and production.
In the running process of the power grid, a large number of power transmission lines and power substations are required to be matched and scheduled, after long-time work, the power transmission lines and power substation equipment are prone to ageing phenomena, damage to the lines and the equipment is caused, damage to the power transmission lines and the equipment is prone to be caused under the influence of severe weather, along with the damage to the lines and the equipment, potential safety hazards in the power grid system are usually identified by a scheduling monitor, all equipment and the power transmission lines of the regional power grid are screened in a manual mode, the number of power grid equipment is large, the work difficulty of the scheduling monitor is increased, the analysis depth of the potential hazards depends on the level of personal skill experience, the potential hazards are prone to be missed by related personnel, and the running safety of the power grid is reduced.
Disclosure of Invention
The invention provides a method, a system and a storage medium for predicting potential safety hazards of a power grid system, so as to realize the prediction of the potential safety hazards of the power grid system and improve the running safety of the power grid.
The invention provides a method for predicting potential safety hazards of a power grid, which comprises the following steps: acquiring power data of a power grid line and power grid equipment, and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result; comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality, and if so, sending out a power grid abnormality alarm signal;
And comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid, determining whether potential safety hazards exist in the power grid line and the power grid equipment, and if so, sending a potential safety hazard alarm signal.
Further, acquiring power data of a power grid line and power grid equipment, specifically:
the method comprises the steps of obtaining current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, wherein the power grid monitoring equipment comprises the following components: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
Further, a topological graph model of the power grid line and the power grid equipment is established, specifically:
The collected electric power data are arranged and cleaned; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation;
using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; and adding corresponding attribute information to each node and each side according to the power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model.
Further, according to the topological graph model, the power flow of the power grid system is calculated to obtain a power flow result, which is specifically:
calculating the power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
Further, comparing the tide result with a corresponding preset safety range, and determining whether the power grid system has power grid abnormality or not, specifically includes:
Judging whether the tide result exceeds a corresponding preset safety range, if so, sending out an abnormal alarm signal of the power grid; the power grid abnormality comprises voltage abnormality, frequency abnormality, current abnormality, short circuit, overload, power quality abnormality or fault alarm; and feeding back and displaying the power grid abnormity alarm signal, and informing a service system to process.
Further, comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid, and determining whether potential safety hazards exist in the power grid line and the power grid equipment or not, wherein the method specifically comprises the following steps:
obtaining model data of potential safety hazard models of all power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing the data in the topological graph model with the model data of each power grid potential safety hazard model to obtain a comparison result; determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
According to the invention, as a preferred scheme, current, voltage and position parameters of a power grid line and power grid equipment in a power grid system are acquired, a topological graph model is built for the power grid line and the power grid equipment of the power grid system, then the graph model of a power grid potential safety hazard model library is used for comparison with the topological graph model, when the graph model in a power grid power flow calculation module is the same as the graph model of the power grid potential safety hazard model library, an abnormal signal is generated, an alarm signal is formed for feedback display and processing, the alarm signal is subjected to popup window display, position information of abnormal position points is acquired, so that operation and maintenance personnel can be reminded of paying attention to the abnormal situation, the potential safety hazard of the power grid system is predicted, and the safety of power grid operation is improved.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Correspondingly, the invention also provides a system for predicting potential safety hazard of the power grid, which comprises the following steps: the system comprises a power grid parameter acquisition module, a power grid tide calculation module, a power grid potential safety hazard model library, a model comparison module, an abnormality alarm module, a networking module, a power grid abnormality processing module and a data storage module;
the power grid parameter acquisition module is used for acquiring power data of a power grid line and power grid equipment;
the power grid power flow calculation module is used for receiving the data acquired by the power grid parameter acquisition module and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result;
the power grid potential safety hazard model library is used for storing potential safety hazard models of various potential safety hazard types in a power grid system;
the model comparison module is used for comparing the topological graph model with hidden danger models in a power grid potential safety hazard model library to determine whether potential safety hazards exist in the power grid line and the power grid equipment;
the abnormal alarm module is used for sending out a potential safety hazard alarm signal if the potential safety hazard exists in the power grid line and the power grid equipment;
The networking module is used for connecting with an external network system, and is used for receiving data of the power grid tide calculation module and the abnormality alarm module;
the power grid abnormality processing module is used for comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality or not, and if yes, sending out a power grid abnormality alarm signal;
the data storage module is used for receiving and storing the data of the power grid parameter acquisition module and the abnormality alarm module.
The power grid parameter acquisition module comprises: the acquisition unit and the data transmission module;
the acquisition unit is used for acquiring current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, and the power grid monitoring equipment comprises: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the data transmission module is used for receiving data acquired by the monitoring camera, the current monitoring module, the voltage monitoring module and the GPS positioning module; the data transmission module is connected with the power grid power flow calculation module and the data storage module; transmitting the received data to a power grid power flow calculation module and a data storage module;
The monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
The power grid power flow calculation module comprises: the topology diagram construction unit and the tide calculation unit;
the topological graph construction unit is used for sorting and cleaning the collected power data; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation; using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; adding corresponding attribute information to each node and each side according to the electric power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model;
the power flow calculation unit is used for calculating power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
The model comparison module comprises: a comparison unit and a prediction unit;
the comparison unit is used for obtaining model data of potential safety hazard models of all the power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing node power flow data under the same node with the model data, and comparing branch power flow data on the same branch with the model data to obtain a comparison result;
the prediction unit is used for determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
According to the invention, by means of the arrangement mode of matching the power grid parameter acquisition module, the power grid power flow calculation module, the model comparison module and the abnormality alarm module, the power grid line and the power grid equipment current, voltage and position parameters in the power grid system are acquired through the power grid parameter acquisition module, acquired data are transmitted to the power grid power flow calculation module, a topological graph model is formed for the power grid line and the power grid equipment of the power grid system, the model comparison module is used for comparing the graph model of the power grid potential safety hazard model library with the graph model in the power grid power flow calculation module, when the graph model in the power grid power flow calculation module and the graph model of the power grid potential safety hazard model library are identical, an abnormality signal is generated, the abnormality alarm module receives the abnormality signal to form an alarm signal, the power grid abnormality processing module feeds back and processes the alarm signal, the alarm signal is displayed in a popup window, position information of an abnormal position point is acquired, so that operation and maintenance personnel can be reminded of paying attention to abnormal conditions, the potential safety hazard of the power grid system is predicted, and the safety of power grid operation is improved.
Accordingly, the present invention also provides a computer-readable storage medium including a stored computer program; the computer program controls equipment where the computer readable storage medium is located to execute the method for predicting the potential safety hazard of the power grid according to the content of the invention when running.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a method for predicting potential safety hazard of a power grid;
fig. 2 is a schematic structural diagram of an embodiment of a system for predicting potential safety hazard of a power grid provided by the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, a method for predicting potential safety hazards of a power grid provided by an embodiment of the present invention includes steps S101 to S104:
Step S101: acquiring power data of a power grid line and power grid equipment;
further, acquiring power data of a power grid line and power grid equipment, specifically:
the method comprises the steps of obtaining current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, wherein the power grid monitoring equipment comprises the following components: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
In this embodiment, the current monitoring module measures the current between the grid line and the grid device through a plurality of sets of current detectors, and the current detectors are fixedly installed at the positions of the grid line and the grid device.
In this embodiment, the voltage monitoring module measures the voltage between the power grid line and the power grid device through a plurality of sets of voltage detectors, and the voltage detectors are fixedly installed between the power grid device and the power grid line.
In this embodiment, the GPS positioning module performs binary encoding on the position information of the plurality of power grid lines and the power grid equipment based on the beidou grid code positioning technology, and searches binary encoding information in combination with the GPS positioning technology, so that the position information of faults and potential safety hazards in the power grid system can be obtained, and the power grid lines and the power grid equipment at the positions of the faults and the potential safety hazards can be maintained conveniently.
In this embodiment, the data transmission module is used to receive the data collected by the monitoring camera, the current monitoring module, the voltage monitoring module and the GPS positioning module, the data transmission module is connected with the power grid power flow calculation module and the data storage module, the data transmission module is used to transmit the received data to the power grid power flow calculation module and the data storage module, and the data collected by the monitoring camera, the current monitoring module, the voltage monitoring module and the GPS positioning module is transmitted to the power grid power flow calculation module and the data storage module through the data transmission module, so that the data is convenient to process and store.
Step S102: establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result;
further, a topological graph model of the power grid line and the power grid equipment is established, specifically:
the collected electric power data are arranged and cleaned; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation;
using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; and adding corresponding attribute information to each node and each side according to the power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model.
Further, according to the topological graph model, the power flow of the power grid system is calculated to obtain a power flow result, which is specifically:
calculating the power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
In the embodiment, a power grid power flow calculation module is utilized to receive and calculate data in a topological graph model to obtain a power grid power flow calculation result, and the power grid power flow calculation module comprises a topological graph model module, a graph calculation module, a power flow threshold comparison module and an image display module; the topological graph model module, the graph calculation module, the tide threshold comparison module and the image display module are connected;
in this embodiment, the topology map model module is configured to receive data in the power grid parameter acquisition module, the topology map model module is configured to build a topology map model for a power grid line and a power grid device, the topology map model module is configured to build the line and the device in the power grid system to form a model structure, the network topology generation model is configured to model a real network, and then, a method for generating the network topology by using the model is mainly based on a random model, a hierarchical structure model or a power law model, the commonly used topology generation method model includes WAXMAN, TIERS, transit-stub, BA and INET, wherein WAXMAN is the random model, TIERS and Transit-stub are built on the hierarchical structure, BA and INET are both based on the power law model, and BRITE and INET are typical topology generators, and can perform simulation generation of the network topology based on the foregoing models.
In this embodiment, the graph calculation module is configured to receive and calculate data in the topology graph model module to obtain a power grid power flow calculation result, where the graph calculation module cuts an original graph through a graph calculation frame, cuts a large graph into multiple sub-graphs, and then runs the sub-graphs on a cluster, so as to complete various graph analysis and graph query tasks.
Step S103: comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality, and if so, sending out a power grid abnormality alarm signal;
further, comparing the tide result with a corresponding preset safety range, and determining whether the power grid system has power grid abnormality or not, specifically includes:
judging whether the tide result exceeds a corresponding preset safety range, if so, sending out an abnormal alarm signal of the power grid; the power grid abnormality comprises voltage abnormality, frequency abnormality, current abnormality, short circuit, overload, power quality abnormality or fault alarm; and feeding back and displaying the power grid abnormity alarm signal, and informing a service system to process.
In this embodiment, a power flow threshold comparison module is used to set a power flow threshold of the power grid, and the power flow threshold comparison module is used to compare the power flow threshold of the power grid with a power flow calculation result of the power grid, and when the set power flow threshold of the power grid is smaller than or equal to the power flow calculation result of the power grid, a power grid abnormality alarm signal is generated and transmitted.
In this embodiment, the power grid topological graph model and the power grid power flow calculation result are transmitted to the image display module for display. Transmitting the power grid abnormality alarm signal to a power grid abnormality processing module, displaying a popup window of the power grid abnormality alarm signal, and acquiring the position information of the abnormal position point so as to remind operation and maintenance personnel of paying attention to the abnormal condition, and enabling the operation and maintenance personnel to arrive at the abnormal position point of the power grid for maintenance.
In this embodiment, the networking module is used to receive the data of the power grid tide calculation module and the abnormality alarm module, and the networking module is used to connect with an external network system. The power grid tide calculation module and the abnormality alarm module are connected with an external network through a networking module, and networking transmission is carried out on data.
The power grid abnormality processing module is used for receiving, displaying and processing feedback of power grid abnormality, receiving and processing alarm signals transmitted by the power grid abnormality processing module, carrying out popup window display on the alarm signals, and obtaining position information of abnormal position points so as to remind operation and maintenance personnel of paying attention to abnormal conditions, the operation and maintenance personnel arrive at the abnormal position points of the power grid for overhauling, and the data storage module is used for receiving and storing data of the power grid parameter acquisition module and the abnormal alarm module.
Step S104: and comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid, determining whether potential safety hazards exist in the power grid line and the power grid equipment, and if so, sending a potential safety hazard alarm signal.
Further, comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid, and determining whether potential safety hazards exist in the power grid line and the power grid equipment or not, wherein the method specifically comprises the following steps:
obtaining model data of potential safety hazard models of all power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing the data in the topological graph model with the model data of each power grid potential safety hazard model to obtain a comparison result; determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
In this embodiment, the power grid potential safety hazard model library is used for storing data, and the power grid potential safety hazard model library is used for storing models of various potential safety hazards in the power grid system, and building models for various potential safety hazards common in the power grid system.
The power grid potential safety hazard model library is connected with the power grid power flow calculation module, the topological graph model is compared with the potential safety hazard models in the power grid potential safety hazard model library, and based on graph calculation engines, for example, a GES large-scale graph calculation engine HYG can flexibly provide users with various segmentation strategies by realizing different point-edge partition algorithms, so that better operation performance is achieved, and the model comparison module is used for comparing and predicting the power grid potential safety hazards.
In this embodiment, when the topology map model and the hidden danger model in the power grid potential safety hazard model library have the same lightning condition, an abnormal signal is generated, and the abnormal signal is transmitted to an abnormal alarm module, where the abnormal alarm module is used for receiving data in the model comparison module. The abnormal alarm module is used for sending out potential safety hazard alarm signals to potential safety hazards in the power grid system, receiving the abnormal signals through the abnormal alarm module, forming the potential safety hazard alarm signals and transmitting the potential safety hazard alarm signals.
The implementation of the embodiment of the invention has the following effects:
according to the invention, current, voltage and position parameters of a power grid line and power grid equipment in a power grid system are acquired, a topological graph model is built for the power grid line and the power grid equipment of the power grid system, then the graph model of a power grid potential safety hazard model library is used for comparison with the topological graph model, when the graph model in a power grid power flow calculation module is identical to the graph model of the power grid potential safety hazard model library, an abnormal signal is generated, an alarm signal is formed for feedback display and processing, the alarm signal is subjected to popup window display, position information of abnormal position points is acquired, so that operation and maintenance personnel are reminded of paying attention to abnormal conditions, the potential safety hazard of the power grid system is predicted, and the safety of power grid operation is improved.
Example two
Referring to fig. 2, a system for predicting potential safety hazard of a power grid according to an embodiment of the present invention includes: the system comprises a power grid parameter acquisition module 201, a power grid power flow calculation module 202, a power grid potential safety hazard model library 203, a model comparison module 204, an abnormality alarm module 205, a networking module 206, a power grid abnormality processing module 207 and a data storage module 208;
the power grid parameter acquisition module is used for acquiring power data of a power grid line and power grid equipment;
the power grid power flow calculation module is used for receiving the data acquired by the power grid parameter acquisition module and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result;
the power grid potential safety hazard model library is used for storing potential safety hazard models of various potential safety hazard types in a power grid system;
the model comparison module is used for comparing the topological graph model with hidden danger models in a power grid potential safety hazard model library to determine whether potential safety hazards exist in the power grid line and the power grid equipment;
the abnormal alarm module is used for sending out a potential safety hazard alarm signal if the potential safety hazard exists in the power grid line and the power grid equipment;
The networking module is used for connecting with an external network system, and is used for receiving data of the power grid tide calculation module and the abnormality alarm module;
the power grid abnormality processing module is used for comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality or not, and if yes, sending out a power grid abnormality alarm signal;
the data storage module is used for receiving and storing the data of the power grid parameter acquisition module and the abnormality alarm module.
The power grid parameter acquisition module comprises: the acquisition unit and the data transmission module;
the acquisition unit is used for acquiring current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, and the power grid monitoring equipment comprises: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the data transmission module is used for receiving data acquired by the monitoring camera, the current monitoring module, the voltage monitoring module and the GPS positioning module; the data transmission module is connected with the power grid power flow calculation module and the data storage module; transmitting the received data to a power grid power flow calculation module and a data storage module;
The monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
The power grid power flow calculation module comprises: the topology diagram construction unit and the tide calculation unit;
the topological graph construction unit is used for sorting and cleaning the collected power data; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation; using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; adding corresponding attribute information to each node and each side according to the electric power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model;
the power flow calculation unit is used for calculating power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
The model comparison module comprises: a comparison unit and a prediction unit;
the comparison unit is used for obtaining model data of potential safety hazard models of all the power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing node power flow data under the same node with the model data, and comparing branch power flow data on the same branch with the model data to obtain a comparison result;
the prediction unit is used for determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
According to the invention, by means of the arrangement mode of matching the power grid parameter acquisition module, the power grid power flow calculation module, the model comparison module and the abnormality alarm module, the power grid line and the power grid equipment current, voltage and position parameters in the power grid system are acquired through the power grid parameter acquisition module, acquired data are transmitted to the power grid power flow calculation module, a topological graph model is formed for the power grid line and the power grid equipment of the power grid system, the model comparison module is used for comparing the graph model of the power grid potential safety hazard model library with the graph model in the power grid power flow calculation module, when the graph model in the power grid power flow calculation module and the graph model of the power grid potential safety hazard model library are identical, an abnormality signal is generated, the abnormality alarm module receives the abnormality signal to form an alarm signal, the power grid abnormality processing module feeds back and processes the alarm signal, the alarm signal is displayed in a popup window, position information of an abnormal position point is acquired, so that operation and maintenance personnel can be reminded of paying attention to abnormal conditions, the potential safety hazard of the power grid system is predicted, and the safety of power grid operation is improved.
The power grid potential safety hazard prediction system can implement the power grid potential safety hazard prediction method of the method embodiment. The options in the method embodiments described above are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the content of the method embodiments described above, and in this embodiment, no further description is given.
The implementation of the embodiment of the invention has the following effects:
according to the invention, by means of the arrangement mode of the matching of the power grid parameter acquisition module, the power grid power flow calculation module, the model comparison module and the abnormality alarm module, the power grid line and the power grid equipment current, voltage and position parameters in the power grid system are acquired through the power grid parameter acquisition module, acquired data are transmitted to the power grid power flow calculation module, a topological graph model is built for the power grid line and the power grid equipment of the power grid system, the model comparison module is used for comparing the graph model of the power grid potential safety hazard model library with the graph model in the power grid power flow calculation module, when the graph model in the power grid power flow calculation module and the graph model of the power grid potential safety hazard model library have the same thunder condition, an abnormality signal is generated, the abnormality alarm module receives the abnormality signal to form an alarm signal, the power grid abnormality processing module feeds back and displays the alarm signal, the alarm signal is subjected to popup window display, position information of an abnormal position point is acquired, so that operation and maintenance personnel are reminded of paying attention to abnormal conditions, the potential safety hazards of the power grid system are predicted, and the safety of power grid operation is improved.
Example III
Correspondingly, the invention further provides a computer readable storage medium, which comprises a stored computer program, wherein when the computer program runs, equipment where the computer readable storage medium is located is controlled to execute the method for predicting the potential safety hazard of the power grid according to any one of the embodiments.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device.
The terminal equipment can be computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal device may include, but is not limited to, a processor, a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program and/or the module, and the processor may implement various functions of the terminal device by running or executing the computer program and/or the module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile terminal, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Wherein the terminal device integrated modules/units may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand alone products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. The utility model provides a power grid potential safety hazard prediction method which is characterized by comprising the following steps:
acquiring power data of a power grid line and power grid equipment, and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result; comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality, and if so, sending out a power grid abnormality alarm signal;
and comparing the topological graph model with hidden danger models in a potential safety hazard model library of the power grid, determining whether potential safety hazards exist in the power grid line and the power grid equipment, and if so, sending a potential safety hazard alarm signal.
2. The method for predicting potential safety hazards of a power grid according to claim 1, wherein the step of obtaining power data of a power grid line and power grid equipment is specifically as follows:
the method comprises the steps of obtaining current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, wherein the power grid monitoring equipment comprises the following components: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
3. The method for predicting potential safety hazards of a power grid according to claim 2, wherein the building of the topological graph model of the power grid line and the power grid equipment is specifically as follows:
The collected electric power data are arranged and cleaned; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation;
using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; and adding corresponding attribute information to each node and each side according to the power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model.
4. The method for predicting potential safety hazards of a power grid according to claim 3, wherein the calculating the power flow of the power grid system according to the topological graph model to obtain the power flow result specifically comprises:
calculating the power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
5. The method for predicting potential safety hazards of a power grid according to claim 4, wherein the comparing the power flow result with a corresponding preset safety range, and determining whether the power grid system has power grid abnormality is specifically:
judging whether the tide result exceeds a corresponding preset safety range, if so, sending out an abnormal alarm signal of the power grid; the power grid abnormality comprises voltage abnormality, frequency abnormality, current abnormality, short circuit, overload, power quality abnormality or fault alarm; and feeding back and displaying the power grid abnormity alarm signal, and informing a service system to process.
6. The method for predicting potential safety hazards of a power grid according to claim 4, wherein the step of comparing the topological graph model with hidden danger models in a power grid potential safety hazard model library to determine whether potential safety hazards exist in the power grid line and the power grid equipment is specifically as follows:
obtaining model data of potential safety hazard models of all power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing the data in the topological graph model with the model data of each power grid potential safety hazard model to obtain a comparison result; determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
7. The utility model provides a power grid potential safety hazard prediction system which characterized in that includes: the system comprises a power grid parameter acquisition module, a power grid tide calculation module, a power grid potential safety hazard model library, a model comparison module, an abnormality alarm module, a networking module, a power grid abnormality processing module and a data storage module;
the power grid parameter acquisition module is used for acquiring power data of a power grid line and power grid equipment;
the power grid power flow calculation module is used for receiving the data acquired by the power grid parameter acquisition module and establishing a topological graph model of the power grid line and the power grid equipment; calculating the power flow of the power grid system according to the topological graph model to obtain a power flow result;
the power grid potential safety hazard model library is used for storing potential safety hazard models of various potential safety hazard types in a power grid system;
the model comparison module is used for comparing the topological graph model with hidden danger models in a power grid potential safety hazard model library to determine whether potential safety hazards exist in the power grid line and the power grid equipment;
the abnormal alarm module is used for sending out a potential safety hazard alarm signal if the potential safety hazard exists in the power grid line and the power grid equipment;
the networking module is used for connecting with an external network system, and is used for receiving data of the power grid tide calculation module and the abnormality alarm module;
The power grid abnormality processing module is used for comparing the tide result with a corresponding preset safety range, determining whether the power grid system has power grid abnormality or not, and if yes, sending out a power grid abnormality alarm signal;
the data storage module is used for receiving and storing the data of the power grid parameter acquisition module and the abnormality alarm module.
8. The grid potential safety hazard prediction system as set forth in claim 7, wherein the grid parameter acquisition module comprises: the acquisition unit and the data transmission module;
the acquisition unit is used for acquiring current, voltage, position parameters and image information of a power grid line and power grid equipment by using power grid monitoring equipment, and the power grid monitoring equipment comprises: the system comprises a monitoring camera, a current monitoring module, a voltage monitoring module, a GPS positioning module and a data transmission module; the monitoring camera, the current monitoring module, the voltage monitoring module, the GPS positioning module and the data transmission module are connected;
the data transmission module is used for receiving data acquired by the monitoring camera, the current monitoring module, the voltage monitoring module and the GPS positioning module; the data transmission module is connected with the power grid power flow calculation module and the data storage module; transmitting the received data to a power grid power flow calculation module and a data storage module;
The monitoring camera is used for collecting image information of the power grid line and the power grid equipment; the current monitoring module is used for acquiring current parameters of the power grid line and the power grid equipment, the voltage monitoring module is used for acquiring voltage parameters of the power grid line and the power grid equipment, and the GPS positioning module is used for acquiring position parameters of the power grid line and the power grid equipment.
9. The grid potential safety hazard prediction system according to claim 8, wherein the grid power flow calculation module comprises: the topology diagram construction unit and the tide calculation unit;
the topological graph construction unit is used for sorting and cleaning the collected power data; determining a topological structure of a power grid line according to the connection relation of the power data, wherein the topological structure comprises a connection mode among all power grid devices and a current flow direction relation; using the power grid equipment in the power grid line as a node in the topological graph, and representing the connection relationship as an edge in the topological graph; adding corresponding attribute information to each node and each side according to the electric power data, organizing the nodes and the sides into a topological graph by using a graph theory or network analysis method, and generating a topological graph model;
The power flow calculation unit is used for calculating power flow data of each node and each branch in the power grid system according to the topological graph model to generate node power flow data and branch power flow data; the node power flow data includes: initial values of injection power, active load, reactive load and node voltage; the branch tidal current data comprises: line impedance between the first node and the last node, resistance to ground, and transformer transformation ratio.
10. The grid potential safety hazard prediction system as set forth in claim 9, wherein the model comparison module comprises: a comparison unit and a prediction unit;
the comparison unit is used for obtaining model data of potential safety hazard models of all the power grids; each power grid potential safety hazard model iteratively pushes out current power data as model data according to historical power data and corresponding power grid potential safety hazard types; comparing node power flow data under the same node with the model data, and comparing branch power flow data on the same branch with the model data to obtain a comparison result;
the prediction unit is used for determining whether potential safety hazards exist in the power grid line and the power grid equipment according to the comparison result; if yes, generating an abnormal signal to form an alarm signal for feedback display.
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