CN113078649B - Power grid accident event grade pre-judging system and method based on sensitivity analysis and equipment fault rate - Google Patents
Power grid accident event grade pre-judging system and method based on sensitivity analysis and equipment fault rate Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0061—Details of emergency protective circuit arrangements concerning transmission of signals
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0092—Details of emergency protective circuit arrangements concerning the data processing means, e.g. expert systems, neural networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
Abstract
The invention discloses a power grid accident event grade pre-judging system and method based on sensitivity analysis and equipment fault rate, wherein the method comprises the following steps: when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event; selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes; counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event; regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node; and regarding the equipment and the lines related to the accident event related nodes and the out-of-limit nodes as removal, and pre-judging the grade degree of the accident event. The invention can improve the capability of the power system for quickly responding to emergencies and disasters.
Description
Technical Field
The invention relates to a power grid accident event grade pre-judging system and method based on sensitivity analysis and equipment fault rate, and belongs to the technical field of power dispatching risk analysis.
Background
Nowadays, the economic development speed of China is faster and faster, the social productivity is continuously improved, the life quality of the masses of people is continuously improved, and the high-precision industry is continuously expanded at a high speed. The reliability and stability of the power grid are directly closely related to the living standard of the general people, and are also important factors for restricting the rapid development of national economy. Maintaining stability and safe operation of the power system becomes very important. Meanwhile, the innovation of the power system is continuously innovated, and according to the perfection requirement of 'three-set five-large', a 'large operation' system of the power grid is gradually established, and each company carries out improvement of a prefecture and county regulation and control integrated mode; meanwhile, newly-released regulations on emergency handling and investigation handling of electric power safety accidents all put higher requirements on safe and stable operation of the power grid.
In newly released specifications, besides the power safety accident event caused by the traditional factors such as the number of the pressure-loss stations and the reduction of the load supply ratio, the consideration of influencing the number of users and the power failure time in power failure, the number of the users in power interruption of important users and the like is newly added, so that the difficulty of evaluating and calculating the level of the power safety accident event is increased. The realization of the requirements cannot avoid screening, analyzing and judging the mass data information in the power grid, and meanwhile, the time limit requirement of information reporting also puts higher requirements on the evaluation efficiency. Traditional operation personnel rely on manual understanding and memory to develop regulation and control business, the risk and pressure of safe operation are obviously increased, obviously, the work of carrying out careful analysis on the power grid has high requirements on electric power workers, the evaluation workload is large, the efficiency is low, errors are easy to occur, and the problems need to be solved by an automatic processing system with information.
The situation of the accident event is accurately judged, and a reference basis can be provided for an emergency command mechanism to start an emergency response or an emergency plan. In the current actual operation of the power grid, due to the lack of an enough automatic data processing and analyzing and equipment dynamic management system, the conditions of inaccurate positioning and untimely reporting of the influence degree of the accident event are often caused, the accident processing progress is greatly influenced, and the response speed and the power restoration work of the power grid and related enterprise organizations to the power grid accident event are also influenced.
Disclosure of Invention
Based on the above, the invention provides a power grid accident event grade pre-judging system and method based on sensitivity analysis and equipment failure rate, so as to solve the problems that in the current power grid actual operation, due to the lack of an enough automatic data processing analysis and equipment dynamic management system, the influence degree of an accident event is often inaccurately positioned and reported in time, the accident processing progress is greatly influenced, and the response speed of a power grid and related enterprise organizations to the power grid accident event and the power restoration work are also influenced.
The technical scheme of the invention is as follows:
in a first aspect, the invention provides a power grid accident event level prejudging method based on sensitivity analysis and equipment fault rate, wherein the prejudging method comprises the following steps:
when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event;
selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes;
counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event;
regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node;
and regarding the equipment and the lines related to the accident event related nodes and the out-of-limit nodes as removal, and pre-judging the grade degree of the accident event.
Optionally, the sensitivity calculation method includes:
acquiring power grid operation steady-state data before the accident event occurs;
taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event;
and adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
Optionally, the historical failure rate calculation method includes:
according to the historical fault conditions of the power grid equipment, analyzing the accident event indirectly relates to the proportion of the number of times of faults of the equipment on the node in the overvoltage or overload working condition to all the number of times of faults, and taking the proportion as the fault rate of the equipment in the overvoltage or overload working condition.
Optionally, the out-of-limit node includes a node with out-of-limit power or out-of-limit voltage in the power system.
Optionally, the power failure severity, the equipment damage condition and the personnel hazard condition which may occur to the power grid are pre-judged according to the cut equipment and the cut line, and the grade judgment is performed on the accident event according to the pre-judgment result.
In a second aspect, the present invention provides a power grid accident event level pre-judging device based on sensitivity analysis and equipment failure rate, wherein the device comprises:
a first computing module to: when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event;
a node selection module configured to: selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes;
a second calculation module to: counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event;
an out-of-limit analysis module to: regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node;
a rank anticipation module configured to: and regarding the equipment and the lines related to the accident event related nodes and the out-of-limit nodes as removal, and pre-judging the grade degree of the accident event.
Optionally, the first computing module includes:
an acquisition submodule for: acquiring power grid operation steady-state data before the accident event occurs;
the power flow calculation submodule is used for: taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event;
an addition calculation sub-module for: and adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
Optionally, the historical failure rate calculation method includes:
according to the historical fault conditions of the power grid equipment, analyzing the accident event indirectly relates to the proportion of the number of times of faults of the equipment on the node in the overvoltage or overload working condition to all the number of times of faults, and taking the proportion as the fault rate of the equipment in the overvoltage or overload working condition.
In a third aspect, the present invention provides a system for predicting the level of a grid accident event based on sensitivity analysis and equipment failure rate, which includes a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the prediction method.
In a fourth aspect, the present invention provides a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the anticipation method as described.
The invention has the beneficial effects that: the method can quickly and accurately predict the grade of the accident event through the safety and stability analysis after the accident event occurs, improves the capability of quick and appropriate response of relevant departments of the power system to the emergency event and the disaster, and effectively solves the problems that the analysis and calculation scale of the power system is more and more complex, the workload for judging the power accident event is large and the efficiency is low in the prior art.
Drawings
FIG. 1 is a flow chart of a method of an embodiment of the present invention;
FIG. 2 is a structural framework diagram of an embodiment of the present invention;
FIG. 3 is a block diagram of yet another apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a computer-readable medium according to an embodiment of the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, but rather should be construed as broadly as the present invention is capable of modification in various respects, all without departing from the spirit and scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Example one
Referring to fig. 1, in an embodiment of the present invention, a method for predicting a level of a grid accident event based on sensitivity analysis and an equipment failure rate includes:
s1, when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event;
specifically, when an accident event occurs in a power system, firstly, acquiring steady-state data of power grid operation before the accident event occurs, such as given power grid structure, parameters and operation conditions of elements such as a generator and a load; then, taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event; and finally, adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
In one example, when an accident event occurs to a line or equipment in a power system, calculating the sensitivity of each node in the system and a node related to the accident event by taking grid operation steady-state data before the accident event occurs as basic data of load flow calculation; calculating the sensitivity of active power and reactive power aiming at the node related to each accident event, adding the calculated sensitivity of the active power and the reactive power, sequencing according to the added values, and searching the node with the maximum correlation with the fluctuation of the active power and the fluctuation of the reactive power of the node related to the calculated accident event; and (4) carrying out sensitivity calculation, processing of calculation results and sequencing on all nodes involved in the accident event.
In the field of power technology, sensitivity analysis methods are based on load flow calculation of a power grid, and the basic starting point is a power balance calculation matrix of nodes. The sensitivity calculation includes a perturbation method and a Jacobian matrix method. The disturbance method is characterized in that a small disturbance is added to a control variable, the power grid load flow before and after the disturbance is calculated, and the change relation between a dependent variable and the variable is calculated. Using the jacobian matrix method as an example:
change of state of system:
wherein, delta P is a node active power change vector, and delta Q is a node reactive power change vector; delta theta is a phase angle variable quantity vector, and delta U is a node voltage variable quantity vector; j. the design is a squarePθ、JPU、JQθ、JQUP, Q partial differential matrices for theta and U, respectively.
The sensitivity calculation formula of the voltage and the active power/reactive power can be obtained according to the above formula, which is shown in the following formula.
It should be noted that all nodes involved in the power flow calculation are usually determined according to the regional level, and the relevant node is a line node directly related to the accident event, for example, a line is disconnected, and two nodes at two ends of the line are the relevant nodes.
S2, selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes;
specifically, according to the calculation result of the step S1, N nodes with the highest sensitivity are selected for the node related to each accident event, the value of N is determined according to the actual condition of the analyzed power grid, the selection result is synthesized after the selection is completed, and repeated nodes are removed to form a set of the nodes indirectly related to the accident event.
S3, statistically calculating the historical failure rate of the equipment on the node indirectly related to the accident event;
specifically, the calculation method of the historical failure rate comprises the following steps: according to the historical fault conditions of the power grid equipment, analyzing the accident event indirectly relates to the proportion of the number of times of faults of the equipment on the node in the overvoltage or overload working condition to all the number of times of faults, and taking the proportion as the fault rate of the equipment in the overvoltage or overload working condition.
S4, regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node;
specifically, according to the calculation result of step S3, the device with the failure rate higher than the set value determined according to the actual condition of the calculated power grid is considered to be cut off, it should be noted that the set value is a threshold value, and the value more than the threshold value is considered to be the device with high possibility of damage in this condition, and the set value is related to weather, humidity and temperature, and is determined according to the actual condition differently in every place, such as Guizhou and Heilongjiang. The cut-out represents the change from the original state of being connected to the power grid to the state of not being connected to the power grid.
In the technical field of electric power, a static safety analysis function is used for analyzing the static safety condition of an electric power system under a specified fault or a specified fault combination, a steady-state load flow result is obtained through simulation calculation of each fault, network out-of-limit condition examination is carried out, and a system safety evaluation report is generated, so that nodes with out-of-limit power or out-of-limit voltage in a power grid can be obtained. The static safety analysis of the power system can also apply an N-1 principle, disconnect elements such as lines, transformers and the like one by one without faults, check whether other elements are overloaded and the low voltage of the power grid, and check whether the structural strength and the operation mode of the power grid meet the safe operation requirements.
And S5, regarding the equipment and the lines related to the accident event related node and the out-of-limit node as cutting-off, and pre-judging the grade degree of the accident event.
Specifically, according to the static safety analysis results of nodes involved in the accident event removal and indirectly involved in the nodes, the comprehensive accident event involves the nodes and the out-of-limit unstable nodes calculated after the static safety analysis, all equipment and lines involved in the nodes are regarded as removal, the shutdown severity, equipment damage conditions and personnel hazard conditions possibly realized by the power grid are pre-judged according to the removal nodes, and the grade of the accident event is judged according to the pre-judgment results. The grade judgment can be made according to the regulations on emergency handling and survey processing of electric power safety accidents.
According to the method, the situation of the electric power safety accident event is quickly and accurately judged through reliable analysis and calculation according to the actual operation data of electric power operation, so that dispatching operation personnel can be helped to fully know the possible consequences caused by equipment failure, can also be helped to quickly know the severity of the accident after the accident occurs, and can make reasonable treatment.
The method can solve the problems that the analysis and calculation scale of the power system is more and more complex, the judgment workload of the power accident event is large and the efficiency is low in the prior art, quickly and accurately judges the grade of the accident event through the safety and stability analysis after the accident event occurs, and improves the capability of quickly and properly responding to the emergency event and the disaster of relevant departments of the power system.
Example two
Referring to fig. 2, a second embodiment of the present invention provides a power grid accident event level pre-judging device based on sensitivity analysis and equipment failure rate, where the device includes: a first computing module to: when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event; a node selection module configured to: selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes; a second calculation module to: counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event; an out-of-limit analysis module to: regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node; a rank anticipation module configured to: and regarding the equipment and the lines related to the accident event related nodes and the out-of-limit nodes as removal, and pre-judging the grade degree of the accident event.
Optionally, the first computing module includes: an acquisition submodule for: acquiring power grid operation steady-state data before the accident event occurs; the power flow calculation submodule is used for: taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event; an addition calculation sub-module for: and adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
Since the apparatus described in the second embodiment of the present invention is an apparatus used for implementing the method of the first embodiment of the present invention, based on the method described in the first embodiment of the present invention, a person skilled in the art can understand the specific structure and the deformation of the apparatus, and thus the details are not described herein. All the devices adopted in the method of the first embodiment of the present invention belong to the protection scope of the present invention.
EXAMPLE III
Referring to fig. 3, it should be noted that, based on the same inventive technique as in the first embodiment and the second embodiment, a third embodiment of the present invention provides a system, including: radio frequency circuit 310, memory 320, input unit 330, display unit 340, audio circuit 350, WiFi module 360, processor 370, and power supply 380. The storage 320 stores a computer program that can be executed on the processor 370, and the processor 370 executes the computer program to implement the steps S1, S2, S3, S4, and S5 according to one embodiment.
In a specific implementation process, when the processor executes the computer program, either implementation manner of the first embodiment or the second embodiment can be realized.
Those skilled in the art will appreciate that the device configuration shown in fig. 3 is not intended to be limiting of the device itself and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes the components of the computer device in detail with reference to fig. 3:
the rf circuit 310 may be used for receiving and transmitting signals, and in particular, receives downlink information of a base station and then sends the received downlink information to the processor. In general, the radio frequency circuitry 310 includes, but is not limited to, at least one amplifier, transceiver, coupler, low noise amplifier, duplexer, and the like.
The memory 320 may be used to store software programs and modules, and the processor 370 may execute various functional applications of the computer device and data processing by operating the software programs and modules stored in the memory 320. The memory 320 may mainly include a program storage area and a data storage area, wherein the program storage 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 use of the computer device, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The input unit 330 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer apparatus. Specifically, the input unit 330 may include a keyboard 331 and other input devices 332. The keyboard 331 is capable of collecting input operations of a user thereon and driving a corresponding connection device according to a preset program. The output information is collected by the keyboard and then fed to the processor 370. The input unit may include other input devices 332 in addition to the keyboard 331. In particular, other input devices 332 may include, but are not limited to, one or more of a touch panel, function keys (such as volume control keys, switch button lights), a trackball, a mouse, a joystick, and the like.
The display unit 340 may be used to display information input by a user or information provided to the user and various menus of the computer device. The display unit 340 may include a display panel 341, and optionally, the display panel 341 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. Further, the keyboard 331 may cover the display panel 341, and when the keyboard 331 detects a touch operation on or near the keyboard 331, the keyboard 331 transmits the touch event to the processor 370 to determine the type of the touch event, and then the processor 370 provides a corresponding visual output on the display panel 341 according to the type of the input event. Although the keyboard 331 and the display panel 341 are shown in fig. 3 as two separate components to implement input and output functions of the computer device, in some embodiments, the keyboard 331 and the display panel 341 may be integrated to implement input and output functions of the computer device.
WiFi belongs to short-distance wireless transmission technology, and computer equipment can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 360, and provides wireless broadband internet access for the user. Although the WiFi module 360 is shown in fig. 3, it is understood that it does not belong to the essential constitution of the computer device, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 370 is a control center of the computer device, connects various parts of the entire computer device using various interfaces and lines, performs various functions of the computer device and processes data by running or executing software programs and/or modules stored in the memory, and calling data stored in the memory 320, thereby monitoring the computer device as a whole. Alternatively, processor 320 may report one or more processing units; preferably, the processor 320 may be integrated with an application processor, wherein the application processor mainly processes an operating system, a user interface, an application program, and the like.
The computer device also includes a power supply 380 (such as a power adapter) for powering the various components, which may preferably be logically connected to the processor 370 through a power management system.
Example four
Based on the same inventive concept, as shown in fig. 4, the fourth embodiment provides a computer-readable storage medium 400, on which a computer program 411 is stored, and when the computer program 411 is executed by a processor, the steps S1, S2, S3, S4, and S5 in one embodiment are implemented.
In a specific implementation process, when the computer program 411 is executed by a processor, the implementation of any one of the first and second embodiments may be implemented.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, hard disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A power grid accident event grade pre-judging method based on sensitivity analysis and equipment fault rate is disclosed, wherein the pre-judging method comprises the following steps:
when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event;
selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes;
counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event;
regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node;
regarding the equipment and lines related to the accident event related node and the out-of-limit node as removal, and pre-judging the grade degree of the accident event;
the sensitivity calculation method comprises the following steps:
acquiring power grid operation steady-state data before the accident event occurs;
taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event;
and adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
2. The grid accident event level prejudgment method according to claim 1, wherein the historical failure rate is calculated by the following method:
according to the historical fault conditions of the power grid equipment, analyzing the accident event indirectly relates to the proportion of the number of times of faults of the equipment on the node in the overvoltage or overload working condition to all the number of times of faults, and taking the proportion as the fault rate of the equipment in the overvoltage or overload working condition.
3. The grid accident event level anticipation method of claim 1, wherein the off-limit node comprises a power off-limit or voltage off-limit node in a power system.
4. The power grid accident event grade pre-judging method according to claim 1, wherein the accident event is grade judged according to the pre-judging result by pre-judging the severity of power failure, equipment damage and personnel hazard which may occur to the power grid according to the cut equipment and lines.
5. A grid accident event class anticipation apparatus based on sensitivity analysis and equipment failure rate, wherein the apparatus comprises:
a first computing module to: when an accident event occurs in the power system, calculating the sensitivity of each node in the power system before the accident event occurs and the node related to the accident event;
a node selection module configured to: selecting a plurality of nodes with highest sensitivity correlation with the accident event related nodes to form a set of accident event indirectly related nodes;
a second calculation module to: counting and calculating the historical failure rate of the equipment on the node indirectly related to the accident event;
an out-of-limit analysis module to: regarding the equipment with the historical fault rate higher than a set value as removed, regarding the accident event related node as removed, and performing static safety analysis on the power system to obtain an out-of-limit node;
a rank anticipation module configured to: regarding the equipment and lines related to the accident event related node and the out-of-limit node as removal, and pre-judging the grade degree of the accident event;
wherein the first computing module comprises:
an acquisition submodule for: acquiring power grid operation steady-state data before the accident event occurs;
the power flow calculation submodule is used for: taking the power grid operation steady-state data as basic data of load flow calculation, and calculating the active power sensitivity and the reactive power sensitivity of the nodes related to the accident event;
an addition calculation sub-module for: and adding the active power sensitivity and the reactive power sensitivity to obtain the sensitivity.
6. The grid accident event level anticipation device of claim 5, wherein the historical failure rate is calculated by:
according to the historical fault conditions of the power grid equipment, analyzing the accident event indirectly relates to the proportion of the number of times of faults of the equipment on the node in the overvoltage or overload working condition to all the number of times of faults, and taking the proportion as the fault rate of the equipment in the overvoltage or overload working condition.
7. A system for predicting the level of a grid accident event based on sensitivity analysis and equipment failure rate, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor performs the prediction method according to any one of claims 1 to 4.
8. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the prejudice method of any one of claims 1 to 4.
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