CN112001588A - Accident event online pre-judging method and device based on N-1 state - Google Patents
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Abstract
The invention discloses an accident event online prejudging method based on an N-1 state, which comprises the steps of accessing OMS and EM system data, completing the acquisition and processing of multi-source data, and synthesizing the system data into basic data for accident event online judgment; when the real-time data of the power grid are acquired, the equipment which is being overhauled is judged, and the condition of the equipment is prevented from being judged by the system; and simulating the disconnection of the equipment N-1, analyzing a calculation result, predicting possible consequences after the equipment fails in advance, performing loss load calculation, loss user calculation and voltage loss substation grade statistics by using BPA (Business Process analysis), and judging results based on the accident event grades of the simulation equipment N-1, the loss user calculation and the voltage loss substation grade, wherein the accident event grade with the maximum grade is taken as the current accident event grade. The method of the invention can reduce the accident consequences caused by the fault tripping of the equipment, reduce the influence of the emergency shutdown of the equipment on the power supply reliability and enhance the stability of the power grid.
Description
Technical Field
The invention relates to the technical field of power system safety, in particular to an accident event online pre-judging method based on an N-1 state.
Background
With the increasing requirements of scheduling operation management, a series of power grid operation accident events occurring in recent years are exposed in real-time risk management and control, and scheduling disposal has the problem that accident event level tracking and prejudging are not in place.
The research and application of the early online safety analysis and early warning system in China is to realize the monitoring of the running state of a power grid by monitoring key parameters such as a tidal current section, node voltage and the like, and realize the online evaluation technology of the running safety of the power grid by online static, transient and voltage analysis.
Because the grading of the accident consequence is not unified in the risk-based static evaluation method for online safety analysis and risk early warning, the grading standard of the accident event is complex, the requirements on the timeliness and the accuracy of handling measures in the accident treatment are high, and a dispatcher difficultly considers the multi-aspect information of the actual operation of the power grid comprehensively and carefully while considering the equipment operation and the system control, so as to make a good judgment on the grade of the accident event.
For standardizing electric power safety accident management, the southern electric network promulgates' survey regulations for electric power accident events (accident regulation for short) of the southern electric network finite responsibility company in China in 2014, defines grading standards of electric power safety accidents, and provides a quantitative evaluation method for electric power safety accident risks. However, due to the complex accident event grading standard, it is difficult to consider the scheduling operation in detail and to predict and predict the grade of the accident event according to the actual operation information of the power grid.
The difficulty lies in that after an accident happens, although load is lost, a transformer substation is out of voltage, and the like. Data can be obtained through collection and analysis of an EMS system, but when the method is applied to identification of real-time risk points of power grid operation or advanced identification of power grid operation risk points after forced outage of elements, the method firstly needs to scan the power grid operation mode after faults in a province-region two-stage range through network analysis by combining action behaviors of secondary systems such as backup power automatic switching and the like, and data information such as a voltage loss transformer substation, loss load and the like is relatively difficult to obtain through analysis.
Disclosure of Invention
In view of the above, the first aspect of the present invention is to provide an accident event online pre-judging method based on N-1 state. The accident event grade can be accurately tracked and judged; unified online security analysis and risk early warning grading of accident consequences in a risk-based static assessment method.
The purpose of the first aspect of the invention is realized by the following technical scheme:
the accident event online prejudging method based on the N-1 state comprises the following steps:
accessing OMS and EM system data, completing the acquisition and processing of multi-source data, and synthesizing the system data into basic data for accident event on-line judgment;
when the real-time data of the power grid are acquired, the equipment which is being overhauled is judged, and the condition of the equipment is prevented from being judged by the system;
and simulating the disconnection of the equipment N-1, analyzing a calculation result, predicting possible consequences after the equipment fails in advance, performing loss load calculation, loss user calculation and voltage loss substation grade statistics by using BPA (Business Process analysis), and judging results based on the accident event grades of the simulation equipment N-1, the loss user calculation and the voltage loss substation grade, wherein the accident event grade with the maximum grade is taken as the current accident event grade.
In particular, the lost load calculation also comprises the steps of whole network load statistics, lost load proportion calculation and lost load accident event judgment.
Specifically, the lost user calculation comprises user total number statistics, lost user proportion calculation and lost user accident event grade judgment.
In particular, the voltage loss substation level statistics comprise voltage loss substation accident event level determination.
In particular, when the simulation equipment N-1 is disconnected, the backup power automatic switching operation logic is simulated in the BPA for processing.
In particular, the loss load accident event grade judgment is to calculate the loss load through the BPA, and the current loss load caused accident event grade is determined by the system judging the loss load.
Particularly, the judgment of the accident level of the loss user is to calculate a no-voltage bus by using BPA, to connect the number of users on the bus, to calculate the number of users with no-voltage, and to judge the accident level caused by the number of the users with no-voltage by judging the number of the users with no-voltage through a system.
Particularly, the accident event grade judgment of the voltage-loss transformer substation is to calculate and find the voltage-loss transformer substation by utilizing BPA (Business Process for production), judge the grade of the accident event caused by the current voltage-loss transformer substation according to parameters including the grade and the quantity of the current voltage-loss transformer substation by a configuration file
It is an object of a second aspect of the invention to provide a computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the computer program.
It is an object of a third aspect of the invention to provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method as described above.
The invention has the beneficial effects that: the method is based on the on-line calculation and prejudgment of the accident event grade of N-1 scanning, the N-1 switching-on and the N-1 switching-off of the equipment are simulated, the calculation result is analyzed, the possible consequences after the equipment is in failure are predicted in advance, and according to the information, a dispatcher can take precautionary measures in advance, so that the consequences of the accident event caused by the failure and the tripping of the equipment are reduced, the influence of the emergency shutdown of the equipment on the power supply reliability is reduced, and the stability of a power grid is enhanced.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is an overall flow chart of accident event level online pre-judgment in an N-1 state;
FIG. 2 is a diagram of a substation wiring diagram of an example application;
FIG. 3 is a diagram of the operation result of BPA operation performed after a further processing card cannot be identified in the case of an application example in the case of an N-1 fault of a certain substation.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
The N-1 accident event grade judgment is to automatically search the accident type which will cause the accident event after the equipment N-1 is in fault through N-1 fault scanning, and pre-judge the accident event grade which may be caused after the fault according to the real-time information of the power grid. With the increasing scale of the power system, the complicated operation characteristics and the gradual increase of the power utilization load, some important risk states may be missed during the calculation of the traditional regional power system power supply capacity evaluation method, and the calculation result obtained in this way may have a large error.
Under the background, the power supply capacity calculation of a regional power system is described as a constrained optimization problem, an N-1 accident prediction analysis method is introduced, the power supply capacity of a regional power grid is calculated, and a simple calculation method for the maximum power supply capacity of the power system is provided. The purpose is as follows: (1) accurately tracking and pre-judging accident event levels; (2) unified online security analysis and risk early warning grading of accident consequences in a risk-based static assessment method.
Based on the above, as shown in fig. 1, the accident event online pre-judging method based on the N-1 state of the invention comprises the following steps:
accessing OMS and EM system data, completing the acquisition and processing of multi-source data, and synthesizing the system data into basic data for accident event on-line judgment;
when the real-time data of the power grid are acquired, the equipment which is being overhauled is judged, and the condition of the equipment is prevented from being judged by the system;
and simulating the disconnection of the equipment N-1, analyzing a calculation result, predicting possible consequences after the equipment fails in advance, performing loss load calculation, loss user calculation and voltage loss substation grade statistics by using BPA (Business Process analysis), and judging results based on the accident event grades of the simulation equipment N-1, the loss user calculation and the voltage loss substation grade, wherein the accident event grade with the maximum grade is taken as the current accident event grade.
And the loss load calculation also comprises the steps of total network load statistics, loss load proportion calculation and loss load accident event judgment. The loss load accident grade judgment is to calculate the loss load through BPA, and the system judges the loss load to determine the current loss load caused accident grade.
And the lost user calculation comprises user total number statistics, lost user proportion calculation and lost user accident event grade judgment. The grade judgment of the loss user accident event is to calculate a no-voltage bus by using BPA, and then calculate the number of users of the no-voltage bus by hanging the number of the users on the bus, and judge the accident event grade caused by the number of the current users of the no-voltage bus by judging the number of the users of the no-voltage bus by a system.
And the step of counting the grades of the voltage-loss substations comprises judging the grades of accident events of the voltage-loss substations. And judging the accident event grade of the voltage-loss transformer substation, namely calculating by using BPA to find the voltage-loss transformer substation, and judging the accident event grade caused by the current voltage-loss transformer substation according to parameters including the grade and the quantity of the current voltage-loss transformer substation through a configuration file.
When the simulation equipment N-1 is disconnected, the spare power automatic switching operation logic is simulated in the BPA for processing.
Examples of applications are: analysis is performed with a certain substation as an object, and the wiring of the substation is as shown in fig. 2. As can be seen from fig. 2, there are eight elements in the substation: 110kVCA first line, 110kVCA second line, 110kV I mother line, 110kV II mother line, #1 main transformer, #2 main transformer, 10kV I mother line and 10kV II mother line. Therefore, when the N-1 failure analysis is performed in the station, it is necessary to turn off the eight elements and analyze the change in the operation state.
The line of the equipment above the station A in BPA tide data is represented by an L card, the bus is represented by a B card, the main transformer is represented by a T card, and the equipment specifically comprises the following components: two L-cards, four B-cards and two T-cards.
When the BPA is used for carrying out N-1 fault simulation, equipment and lines are disconnected one by one, namely after the data cards are added in front of the corresponding data cards, programs are respectively operated, and load flow calculation is carried out, so that the following result of 'BPA operation result under the N-1 fault of the station A' can be obtained.
For the situation that the data card cannot be identified, adding points in front of the unidentified data card according to the steps of the flow chart, and finally obtaining the load flow calculation result shown in the following table after running the program again.
The left column of the table shows the disconnected equipment, and the right column shows the content of error report in the calculation result of the BPA after the left equipment is disconnected. The T card represents a main transformer in the BPA; the B card represents a bus in the BPA; the L-card inside the BPA represents a wire. If the card cannot be identified, the current equipment is independent of the whole net rack, and the equipment needs to be removed to calculate the power flow.
After the BPA is subjected to N-1 disconnection, the calculation result prompts the contents shown in the table below, the isolated nodes are calculated through an N-1 program by an accident event online prejudging method in an N-1 state, and the accident event grade is judged mainly according to three dimensions of the number of lost users, a voltage loss transformer substation and a loss load in the calculation process. If the number of lost users does not cause an event, the loss transformer substation causes a third-level event, and the loss load causes the third-level event, the largest one of the three dimensions is taken as the current accident event grade, and the loss transformer substation and the loss load both cause the third-level event, namely the third-level event caused by the loss transformer station is taken as the current accident event of the power grid. Fig. 3 shows the contents of the accident judgment calculated after the XX line is disconnected.
In the dynamic N-1 accident event level judgment, the action logic of a secondary system, particularly the action logic of a spare power automatic switching device and a stability control system, needs to be considered. There is also a need to overlay network signaling data, device status data acquired from the EMS, and the like. Taking these factors into consideration, calling and sequentially disconnecting each device through a system program, superposing the disconnected device information into BPA, calling BPA to calculate a tidal current, finding out devices which are not connected with a main network (such as a bus (B card), a main transformer (T card) and a line (L card) and cannot be identified or become isolated sub-nodes or form a subsystem formed by combining a plurality of devices) after BPA is calculated, capturing the found device information through the system program, obtaining the information of a voltage-loss transformer substation (namely, when all buses in the transformer substation are in voltage loss, the transformer substation is in voltage loss) through program judgment and identification, obtaining the information of loss load and user number (the load and the user number are hung on the buses, the information of loss load and the user number can be counted through counting the voltage-loss buses), and according to an accident event grade standard (an accident grade standard of a power grid company issued by a main guideline in the embodiment), and calculating the accident event grade caused by loss load, the accident event grade caused by loss user number and the accident event grade caused by a voltage-loss transformer substation. And then according to the accident event grades of the three dimensions, taking the accident event grade with the maximum accident event grade as the accident event grade after the current equipment is disconnected.
It should be noted that any process or method descriptions in flow charts of the present invention or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and that the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, and the program may be stored in a computer readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention.
Claims (10)
1. The accident event online prejudging method based on the N-1 state is characterized by comprising the following steps: the method comprises the following steps:
accessing OMS and EM system data, completing the acquisition and processing of multi-source data, and synthesizing the system data into basic data for accident event on-line judgment;
when the real-time data of the power grid are acquired, the equipment which is being overhauled is judged, and the condition of the equipment is prevented from being judged by the system;
and simulating the disconnection of the equipment N-1, analyzing a calculation result, predicting possible consequences after the equipment fails in advance, performing loss load calculation, loss user calculation and voltage loss substation grade statistics by using BPA (Business Process analysis), and judging results based on the accident event grades of the simulation equipment N-1, the loss user calculation and the voltage loss substation grade, wherein the accident event grade with the maximum grade is taken as the current accident event grade.
2. The accident event online prejudgment method based on the N-1 state is characterized in that: the loss load calculation also comprises the steps of whole network load statistics, loss load proportion calculation and loss load accident event judgment.
3. The accident event online prejudgment method based on the N-1 state is characterized in that: and the lost user calculation comprises user total number statistics, lost user proportion calculation and lost user accident event grade judgment.
4. The accident event online prejudgment method based on the N-1 state is characterized in that: and the grade statistics of the voltage-loss substation comprises the grade judgment of accident events of the voltage-loss substation.
5. The on-line accident event prediction method based on the N-1 state according to claim 1, 2 or 3, characterized in that: when the simulation equipment N-1 is disconnected, the spare power automatic switching operation logic is simulated in the BPA for processing.
6. The accident event online prejudgment method based on the N-1 state according to claim 2, wherein: the loss load accident event grade judgment is to calculate loss load through BPA, and the system judges the loss load to determine the accident event grade caused by the current loss load.
7. The accident event online predication method based on the N-1 state as claimed in claim 3, wherein: the grade judgment of the loss user accident event is to calculate a no-voltage bus by using BPA, and then calculate the number of users of the no-voltage bus by hanging the number of the users on the bus, and judge the accident event grade caused by the number of the current users of the no-voltage bus by judging the number of the users of the no-voltage bus by a system.
8. The accident event online predication method based on the N-1 state as claimed in claim 4, wherein: the judging of the accident event grade of the voltage-losing transformer substation is to calculate by utilizing BPA to find the voltage-losing transformer substation, and judge the accident event grade caused by the current voltage-losing transformer substation according to parameters including the grade and the quantity of the current voltage-losing transformer substation.
9. A computer apparatus comprising a memory, a processor, and a computer program stored on the memory and capable of running on the processor, wherein: the processor, when executing the computer program, implements the method of any of claims 1-8.
10. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the method of any one of claims 1-8.
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| CN109191007A (en) * | 2018-09-28 | 2019-01-11 | 广东电网有限责任公司 | A kind of method and system that grid equipment N-1 consequence grade determines automatically |
| CN110728471A (en) * | 2019-11-26 | 2020-01-24 | 中国南方电网有限责任公司 | Power grid dispatching operation safety accident grade determining method and risk index calculating method |
| CN110955967A (en) * | 2019-11-26 | 2020-04-03 | 广东电网有限责任公司 | Modeling method and system for bus tie spare power automatic switching in BPA |
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