CN115663812B - Direct current transmission system reliability assessment method and system - Google Patents
Direct current transmission system reliability assessment method and system Download PDFInfo
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Abstract
The invention relates to the technical field of power transmission system evaluation, and particularly discloses a method and a system for evaluating the reliability of a direct current power transmission system, wherein the method comprises the steps of building a power transmission network; the method comprises the steps that working parameters of a power transmission end and an energy consumption end are obtained regularly, the abnormal probability of each power transmission section in a power transmission network is determined according to the working parameters, and a power parameter obtaining table is installed based on the abnormal probability; acquiring data of a parameter acquisition table in real time, identifying the acquired data, and judging the correlation among power transmission sections; counting the power transmission sections according to the correlation, and calculating a stable value of each power transmission section according to the collected data; and generating an evaluation report based on the stable values of all the power transmission sections counted by the power transmission network. According to the method, the ammeter is installed according to the working parameters of the energy consumption end, correlation analysis and stability analysis are carried out on the data collected by the ammeter, an evaluation report is generated by combining the correlation analysis result and the stability analysis result, and the method is high in intelligence degree and extremely high in adaptability.
Description
Technical Field
The invention relates to the technical field of power transmission system evaluation, in particular to a method and a system for evaluating the reliability of a direct-current power transmission system.
Background
In the regional power supply system, often adopt direct current transmission system, by direct current energy supplies such as battery, drive a plurality of equipment and accomplish certain work, this kind of system stability is very high, is often used for the field that has the demand to stability.
On the basis, in order to improve the stability, a management party often monitors the direct current transmission system and generates a stability report in real time; the existing monitoring systems mostly depend on preset data collected by an ammeter, the installation position of the ammeter is preset by workers, and the adaptability is not high; in addition, for the acquired data, the staff need to consider comprehensively, and when the number of the electric meters is large, the induction process is extremely complicated; therefore, how to provide an intelligent stability evaluation system with strong adaptability is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The present invention provides a method and a system for evaluating reliability of a dc power transmission system, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a method of dc power transmission system reliability assessment, the method comprising:
acquiring position information and connection information of a power transmission end and an energy consumption end, and building a power transmission network according to the position information and the connection information;
the method comprises the steps that working parameters of a power transmission end and an energy consumption end are obtained regularly, the abnormal probability of each power transmission section in a power transmission network is determined according to the working parameters, and a power parameter obtaining table is installed based on the abnormal probability;
acquiring the collected data of the electric parameter acquisition table in real time, identifying the collected data, and judging the correlation among all power transmission sections;
carrying out statistics on the power transmission sections according to the correlation, and calculating a stable value of each power transmission section according to the statistical collected data;
and generating an evaluation report based on the stable values of all the power transmission sections counted by the power transmission network.
As a further scheme of the invention: the step of acquiring the position information and the connection information of the power transmission end and the energy consumption end, and building the power transmission network according to the position information and the connection information comprises the following steps:
inquiring a power transmission end in a record library, acquiring the position information of the power transmission end, and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
sequentially acquiring output lines of the power transmission end, and inquiring position information of the energy consumption end based on the output lines;
adjusting a scale in real time according to the position information of the energy consumption end and the position information of the power transmission end, and recording scales corresponding to different energy consumption ends;
and building a power transmission network based on the scale.
As a further scheme of the invention: the method comprises the steps of obtaining working parameters of a power transmission end and an energy consumption end at regular time, determining the abnormal probability of each power transmission section in a power transmission network according to the working parameters, and installing a power parameter obtaining table based on the abnormal probability, wherein the steps comprise:
acquiring working parameters of a power transmission end and an energy consumption end at fixed time, and generating a historical working record;
generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
inputting the output curve of the power transmission end into a preset identification analysis model determined by a power transmission network, and determining a theoretical working curve of each energy consumption end;
comparing the theoretical working curve with the working curves of the energy consumption ends, and determining the abnormal value of each energy consumption end according to the comparison result;
and calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end, and installing an electrical parameter acquisition table based on the abnormal probability.
As a further scheme of the invention: the method comprises the following steps of calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end, and installing an electrical parameter acquisition table based on the abnormal probability, wherein the step of installing the electrical parameter acquisition table comprises the following steps:
sequentially selecting a power transmission section, and acquiring a power consumption end containing a relevant level of the power transmission section; the correlation level is used for representing the distance between the energy consumption end and the power transmission section in the power transmission network; the distance is determined by the serial association mode of the energy consumption end and the power transmission section and the quantity of the spaced energy consumption ends;
inputting the related level and the abnormal value of the energy consumption end into a preset calculation formula to obtain the abnormal probability of the power transmission section;
and comparing the abnormal probability with a preset probability threshold, and determining the type of the electrical parameter acquisition table according to the probability threshold reached by the abnormal probability.
As a further scheme of the invention: the step of acquiring the collected data of the electric parameter acquisition table in real time, identifying the collected data and judging the correlation among the power transmission sections comprises the following steps of:
acquiring data of the electric parameter acquisition table in real time, and converting the acquired data into a jump signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
counting all hopping signals by the same time axis, and classifying the hopping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
classifying the power transmission sections according to the hopping signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the similar power transmission sections;
wherein the step size is inversely proportional to the correlation value.
As a further scheme of the invention: the step of counting the power transmission sections according to the correlation and calculating the stable value of each power transmission section according to the collected data of the statistics comprises the following steps:
reading various power transmission sections in a descending order according to the correlation values;
acquiring collected data corresponding to a power transmission section, and performing Fourier transform on the collected data to obtain a superposition function of a preset term number;
and determining a stable value of the power transmission section according to the function characteristic of the superposition function.
The technical scheme of the invention also provides a system for evaluating the reliability of the direct current transmission system, which comprises the following steps:
the power transmission network building module is used for acquiring position information and connection information of the power transmission end and the energy consumption end and building a power transmission network according to the position information and the connection information;
the equipment installation module is used for acquiring working parameters of the power transmission end and the energy consumption end at regular time, determining the abnormal probability of each power transmission section in the power transmission network according to the working parameters, and installing an electrical parameter acquisition table based on the abnormal probability;
the correlation judging module is used for acquiring the collected data of the electric parameter acquisition table in real time, identifying the collected data and judging the correlation among the power transmission sections;
the stable value calculation module is used for counting the power transmission sections according to the correlation and calculating the stable value of each power transmission section according to the collected data;
and the report generation module is used for generating an evaluation report based on the stable values of all the power transmission sections counted by the power transmission network.
As a further scheme of the invention: the power transmission network building module includes:
the network generation unit is used for inquiring the power transmission end in the record base, acquiring the position information of the power transmission end and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
the position query unit is used for sequentially acquiring output lines of the power transmission ends and querying the position information of the energy consumption ends on the basis of the output lines;
the data insertion unit is used for adjusting the scale in real time according to the position information of the energy consumption end and the position information of the power transmission end and recording scales corresponding to different energy consumption ends;
and the building execution unit is used for building the power transmission network based on the scale.
As a further scheme of the invention: the device mounting module includes:
the record generating unit is used for acquiring working parameters of the power transmission end and the energy consumption end at regular time and generating a historical working record;
the curve generation unit is used for generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
the theoretical calculation unit is used for inputting the output curve of the power transmission end into a preset identification analysis model determined by the power transmission network and determining a theoretical working curve of each energy consumption end;
the curve comparison unit is used for comparing the theoretical working curve with the working curves of the energy consumption ends and determining abnormal values of the energy consumption ends according to comparison results;
and the installation execution unit is used for calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end and installing the electrical parameter acquisition table based on the abnormal probability.
As a further scheme of the invention: the correlation determination module includes:
the signal conversion unit is used for acquiring the acquired data of the electric parameter acquisition table in real time and converting the acquired data into a jump signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
the first classification unit is used for counting all the jumping signals by the same time shaft and classifying the jumping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
the second classification unit is used for classifying the power transmission sections according to the jump signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the same type of power transmission sections;
wherein the step size is inversely proportional to the correlation value.
Compared with the prior art, the invention has the beneficial effects that: according to the method, theoretical operation data of an energy consumption end are calculated according to data of a power transmission end, and the theoretical operation data and actual operation data are compared to obtain the working state of the energy consumption end; judging the abnormal probability of the power transmission section according to the working state of the energy consumption end, and installing an electric meter based on the abnormal probability; and the data collected by the ammeter is subjected to correlation analysis and stability analysis, and an evaluation report is generated by combining the correlation analysis result and the stability analysis result, so that the intelligent degree is high, and the adaptability is strong.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart of a method for evaluating reliability of a dc power transmission system.
Fig. 2 is a first sub-flow block diagram of a method for evaluating reliability of a dc power transmission system.
Fig. 3 is a second sub-flow block diagram of the method for evaluating the reliability of a dc power transmission system.
Fig. 4 is a third sub-flow block diagram of the method for evaluating the reliability of the dc transmission system.
Fig. 5 is a fourth sub-flow block diagram of the method for evaluating the reliability of a dc power transmission system.
Fig. 6 is a block diagram of a configuration of the dc power transmission system reliability evaluation system.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
Fig. 1 is a flow chart of a method for evaluating reliability of a dc power transmission system, in an embodiment of the present invention, the method for evaluating reliability of a dc power transmission system includes:
step S100: acquiring position information and connection information of a power transmission end and an energy consumption end, and building a power transmission network according to the position information and the connection information;
the direct current transmission system is simple, the current directions of the power transmission end and the energy consumption end are fixed, and the connection information is very clear; a power transmission network can be built according to the connection information and the position information of the power transmission end and the energy consumption end; the power transmission network refers to a model of a virtual layer. It is worth mentioning that the direct current transmission system is generally applied to the field of short-distance power transmission, which makes the construction process of the power transmission network easier.
Step S200: the method comprises the steps that working parameters of a power transmission end and an energy consumption end are obtained regularly, the abnormal probability of each power transmission section in a power transmission network is determined according to the working parameters, and a power parameter obtaining table is installed based on the abnormal probability;
acquiring working parameters of a power transmission end and an energy consumption end, and judging the abnormal probability of each power transmission section according to the working parameters of the power transmission end and the energy consumption end; the operating parameters refer to historical operating parameters, and the types of the operating parameters can be electric parameters (current and voltage) of a power transmission end or a power consumption end, and also can be operating data of a module or a sensor of the operating parameters. In general, the abnormal probability of each section in the power transmission network is determined according to the working conditions of the power transmission end and the energy consumption end, equipment is installed according to the abnormal probability, and the installed electricity parameter acquisition meter can be an ammeter or a voltmeter.
Step S300: acquiring data of a parameter acquisition table in real time, identifying the acquired data, and judging the correlation among power transmission sections;
in a direct-current power transmission system, two series-connection modes exist, and the two modes enable a power transmission end and an energy consumption end to have an influence relation, namely correlation; according to the data acquired by the electric parameter acquisition table, which power transmission sections are relevant can be judged.
Step S400: counting the power transmission sections according to the correlation, and calculating a stable value of each power transmission section according to the collected data;
and (4) counting the related power transmission sections, and further judging the stable value of the power transmission section according to the acquired data of the same type of power transmission sections.
Step S500: and generating an evaluation report based on the stable values of all the power transmission sections counted by the power transmission network.
And judging whether the whole power transmission network is in a stable state or not according to the stable value of each power transmission section, and inquiring an evaluation report in a preset report storage library according to a judgment result.
Of course, it is also a feasible technical solution to send the determination result to the manual detection end and receive the evaluation report fed back by the manual detection end.
Fig. 2 is a first sub-flow block diagram of the method for evaluating the reliability of the dc power transmission system, where the step of obtaining the position information and the connection information of the power transmission terminal and the energy consumption terminal, and building the power transmission network according to the position information and the connection information includes:
step S101: inquiring a power transmission end in a record library, acquiring the position information of the power transmission end, and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
the power transmission end serves as a power output end, and an initial network is generated according to the position information of the power transmission end; when the power transmission ends are not unique, determining a scale according to the distance between the power transmission ends; the determined scale is a scale which can be adjusted in real time, and the function of the scale which can be adjusted in real time is to provide a zooming-in and zooming-out function.
Step S102: sequentially acquiring output lines of the power transmission end, and inquiring position information of the energy consumption end based on the output lines;
inquiring an output line by taking the power transmission end as a power output end, and inquiring the energy consumption end and the position information thereof on the output line;
step S103: adjusting a scale in real time according to the position information of the energy consumption end and the position information of the power transmission end, and recording scales corresponding to different energy consumption ends;
the scale can be adjusted in real time according to the position information of the energy consumption end and the position information of the power transmission end, so that all ports can be displayed in the same image.
Step S104: and building a power transmission network based on the scale.
And a power transmission network can be built based on the scale.
Fig. 3 is a second sub-flow block diagram of the method for evaluating the reliability of the dc power transmission system, where the step of periodically obtaining the working parameters of the power transmission end and the energy consumption end, and determining the abnormal probability of each power transmission segment in the power transmission network according to the working parameters includes:
step S201: acquiring working parameters of a power transmission end and an energy consumption end at fixed time, and generating a historical working record;
the working parameters of the power transmission end and the energy consumption end are obtained at regular time, and the time interval for obtaining data can be set to be longer, so that the data obtaining pressure can be reduced.
Step S202: generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
according to the historical working records, a power transmission end output curve and an energy consumption end working curve can be generated in a fitting mode, the fitted curve possibly comes in and goes out from the actual situation, and the change trend of the power transmission end and the energy consumption end can be reflected.
Step S203: inputting the output curve of the power transmission end into a preset identification analysis model determined by a power transmission network, and determining a theoretical working curve of each energy consumption end;
the fitted output curve of the power transmission end is analyzed, a theoretical working curve of each energy consumption end can be obtained, and the identification and analysis process can be easily completed in a direct-current power transmission system by means of the existing physical law (kirchhoff law).
Step S204: comparing the theoretical working curve with the working curves of the energy consumption ends, and determining the abnormal value of each energy consumption end according to the comparison result;
comparing the theoretical data with the actual data, judging the difference between the actual condition and the theoretical condition according to the comparison result, wherein a mapping relation exists between the difference and the abnormal value of the energy consumption end, and the preset mapping model can be used for conversion.
Step S205: calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end, and installing an electrical parameter acquisition table based on the abnormal probability;
each power transmission section may be connected with a plurality of energy consumption ends, and the abnormal probability can be calculated according to the abnormal value of the connected energy consumption ends; and selecting the electric meters with preset quantity and preset types according to the abnormal probability, and installing.
As a preferred embodiment of the technical solution of the present invention, the step of calculating the abnormal probability of each power transmission segment based on the abnormal value of the energy consumption end includes:
sequentially selecting a power transmission section, and acquiring a power consumption end containing a relevant level of the power transmission section; the correlation level is used for representing the distance between the energy consumption end and the power transmission section in the power transmission network; the distance is determined by the serial association mode of the energy consumption end and the power transmission section and the quantity of the spaced energy consumption ends;
inputting the abnormal values of the relevant levels and the energy consumption ends into a preset calculation formula to obtain the abnormal probability of the power transmission section;
and comparing the abnormal probability with a preset probability threshold, and determining the type of the electrical parameter acquisition table according to the probability threshold reached by the abnormal probability.
The above-mentioned content specifically describes the application process of calculating the abnormal probability, and firstly, the connection tightness between the energy consumption end connected with the power transmission section and the power transmission section needs to be calculated; then, the abnormal probability of the power transmission section can be calculated according to the number of the energy consumption ends connected with the power transmission section and the connection tightness; and finally, when the abnormal probability reaches a preset abnormal threshold, selecting the electric meter according to different abnormal thresholds.
Fig. 4 is a third sub-flow block diagram of the method for evaluating the reliability of the dc power transmission system, where the step of acquiring the collected data of the parameter acquisition table in real time, identifying the collected data, and determining the correlation between the power transmission sections includes:
step S301: acquiring the acquired data of the electric parameter acquisition table in real time, and converting the acquired data into a hopping signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
acquiring data of an ammeter in real time, simplifying the acquired data according to a preset data threshold value, and converting the data into a jump signal; this process can be analogized to the conversion of an analog signal to a digital signal.
Step S302: counting all hopping signals by the same time axis, and classifying the hopping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
counting signals of all power transmission sections, and then classifying; inquiring which signals are synchronously raised or lowered in the classified jump signals, and considering that the two signals are synchronous only by the jump edge because the signals are jump signals; it is conceivable that the shorter the step length is, the stronger the synchronism of the two signals is, and the stronger the correlation is; the step size is inversely proportional to the correlation value.
Step S303: classifying the power transmission sections according to the hopping signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the similar power transmission sections;
and counting classification results corresponding to different step lengths by taking the correlation values as labels.
Fig. 5 is a fourth sub-flow block diagram of the method for evaluating the reliability of the dc power transmission system, where the step of performing statistics on the power transmission segments according to the correlations and calculating the stable values of the power transmission segments according to the collected data includes:
step S401: reading various power transmission sections in a descending order according to the correlation values;
the power transmission segments are sequentially read in descending order from the correlation value.
Step S402: acquiring collected data corresponding to a power transmission section, and performing Fourier transform on the collected data to obtain a superposition function of a preset number of terms;
the process of analyzing the power transmission section still needs to analyze the collected data (data before being converted into the jump signal), the collected data are analog signals, and the collected data are subjected to Fourier transform to obtain the sum of some trigonometric functions.
Step S403: determining a stable value of the power transmission section according to the function characteristics of the superposition function;
and under a preset calculation formula, calculating a stable value according to the function characteristics of the superposition function.
In an example of the technical solution of the present invention, after the stable value is calculated, whether the entire power transmission network is in a stable state or not can be determined according to the stable value of each power transmission segment, and the assessment report is queried in a preset report repository according to the determination result.
Of course, it is also a feasible technical solution to send the determination result to the manual detection end and receive the evaluation report fed back by the manual detection end.
Example 2
Fig. 6 is a block diagram of a structure of a dc power transmission system reliability evaluation system, in an embodiment of the present invention, a dc power transmission system reliability evaluation system includes:
the power transmission network building module 11 is used for acquiring position information and connection information of a power transmission end and an energy consumption end, and building a power transmission network according to the position information and the connection information;
the equipment installation module 12 is configured to obtain working parameters of the power transmission end and the energy consumption end at regular time, determine an abnormal probability of each power transmission segment in the power transmission network according to the working parameters, and install an electrical parameter acquisition table based on the abnormal probability;
the correlation determination module 13 is configured to obtain the collected data of the electric parameter acquisition table in real time, identify the collected data, and determine the correlation between the power transmission sections;
the stable value calculation module 14 is configured to count the power transmission segments according to the correlations, and calculate a stable value of each power transmission segment according to the collected data;
and a report generation module 15, configured to generate an evaluation report based on the stable values of all the power transmission segments counted by the power transmission network.
The power transmission network building module 11 includes:
the network generating unit is used for inquiring the power transmission end in the record base, acquiring the position information of the power transmission end and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
the position query unit is used for sequentially acquiring the output lines of the power transmission ends and querying the position information of the energy consumption ends on the basis of the output lines;
the data insertion unit is used for adjusting the scale in real time according to the position information of the energy consumption end and the position information of the power transmission end and recording scales corresponding to different energy consumption ends;
and the building execution unit is used for building the power transmission network based on the scale.
The device mounting module 12 includes:
the record generating unit is used for acquiring working parameters of the power transmission end and the energy consumption end at regular time and generating a historical working record;
the curve generation unit is used for generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
the theoretical calculation unit is used for inputting the output curve of the power transmission end into a preset identification analysis model determined by the power transmission network and determining a theoretical working curve of each energy consumption end;
the curve comparison unit is used for comparing the theoretical working curve with the working curves of the energy consumption ends and determining abnormal values of the energy consumption ends according to comparison results;
and the installation execution unit is used for calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end and installing the electrical parameter acquisition table based on the abnormal probability.
The correlation determination module 13 includes:
the signal conversion unit is used for acquiring the acquired data of the electric parameter acquisition table in real time and converting the acquired data into a jump signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
the first classification unit is used for counting all the jumping signals by the same time shaft and classifying the jumping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
the second classification unit is used for classifying the power transmission sections according to the jump signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the same type of power transmission sections;
wherein the step size is inversely proportional to the correlation value.
The functions that can be realized by the direct current transmission system reliability evaluation method are all completed by computer equipment, and the computer equipment comprises one or more processors and one or more memories, wherein at least one program code is stored in the one or more memories, and is loaded and executed by the one or more processors to realize the functions of the direct current transmission system reliability evaluation method.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, the computer program may be partitioned into one or more modules, stored in memory and executed by a processor, to implement the invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth status display system (such as product information acquisition templates corresponding to different product categories, product information that needs to be issued by different product providers, and the like). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. A method for evaluating reliability of a direct current transmission system, the method comprising:
acquiring position information and connection information of a power transmission end and an energy consumption end, and building a power transmission network according to the position information and the connection information;
the method comprises the steps that working parameters of a power transmission end and an energy consumption end are obtained regularly, the abnormal probability of each power transmission section in a power transmission network is determined according to the working parameters, and a power parameter obtaining table is installed based on the abnormal probability;
acquiring data of a parameter acquisition table in real time, identifying the acquired data, and judging the correlation among power transmission sections;
counting the power transmission sections according to the correlation, and calculating a stable value of each power transmission section according to the collected data;
based on the stable values of all the power transmission sections counted by the power transmission network, generating an evaluation report;
the method comprises the steps of obtaining working parameters of a power transmission end and an energy consumption end at regular time, determining the abnormal probability of each power transmission section in a power transmission network according to the working parameters, and installing a power parameter obtaining table based on the abnormal probability, wherein the steps comprise:
acquiring working parameters of a power transmission end and an energy consumption end at fixed time, and generating a historical working record;
generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
inputting the output curve of the power transmission end into a preset identification analysis model determined by a power transmission network, and determining a theoretical working curve of each energy consumption end;
comparing the theoretical working curve with the working curves of the energy consumption ends, and determining the abnormal value of each energy consumption end according to the comparison result;
and calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end, and installing an electrical parameter acquisition table based on the abnormal probability.
2. The direct current transmission system reliability evaluation method according to claim 1, wherein the step of obtaining the position information and the connection information of the transmission terminals and the energy consumption terminals, and building the transmission network according to the position information and the connection information thereof comprises:
inquiring a power transmission end in a record library, acquiring the position information of the power transmission end, and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
sequentially acquiring output lines of the power transmission end, and inquiring position information of the energy consumption end based on the output lines;
adjusting a scale in real time according to the position information of the energy consumption end and the position information of the power transmission end, and recording scales corresponding to different energy consumption ends;
and building a power transmission network based on the scale.
3. The method according to claim 1, wherein the step of calculating the abnormality probability of each power transmission section based on the abnormal value of the energy consumption terminal includes the steps of:
sequentially selecting a power transmission section, and acquiring a power consumption end containing a relevant level of the power transmission section; the correlation level is used for representing the distance between the energy consumption end and the power transmission section in the power transmission network; the distance is determined by the serial association mode of the energy consumption end and the power transmission section and the quantity of the spaced energy consumption ends;
inputting the abnormal values of the relevant levels and the energy consumption ends into a preset calculation formula to obtain the abnormal probability of the power transmission section;
and comparing the abnormal probability with a preset probability threshold, and determining the type of the electrical parameter acquisition table according to the probability threshold reached by the abnormal probability.
4. The method according to claim 1, wherein the step of obtaining data collected from a parameter acquisition table in real time, identifying the data collected, and determining the correlation between power transmission segments comprises:
acquiring data of the electric parameter acquisition table in real time, and converting the acquired data into a jump signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
counting all hopping signals by the same time axis, and classifying the hopping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
classifying the power transmission sections according to the hopping signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the similar power transmission sections;
wherein the step size is inversely proportional to the correlation value.
5. The method according to claim 1, wherein the step of performing statistics on the power transmission segments according to the correlations and calculating the stable value of each power transmission segment according to the collected data of the statistics comprises:
reading various power transmission sections in a descending order according to the correlation values;
acquiring collected data corresponding to a power transmission section, and performing Fourier transform on the collected data to obtain a superposition function of a preset number of terms;
and determining a stable value of the power transmission section according to the function characteristic of the superposition function.
6. A dc power transmission system reliability evaluation system, the system comprising:
the power transmission network building module is used for acquiring position information and connection information of the power transmission end and the energy consumption end and building a power transmission network according to the position information and the connection information;
the equipment installation module is used for acquiring working parameters of the power transmission end and the energy consumption end at regular time, determining the abnormal probability of each power transmission section in the power transmission network according to the working parameters, and installing an electrical parameter acquisition table based on the abnormal probability;
the correlation judging module is used for acquiring the collected data of the electric parameter acquisition table in real time, identifying the collected data and judging the correlation among the power transmission sections;
the stable value calculation module is used for counting the power transmission sections according to the correlation and calculating the stable value of each power transmission section according to the collected data;
the report generation module is used for generating an evaluation report based on the stable values of all the power transmission sections counted by the power transmission network;
the device mounting module includes:
the record generating unit is used for acquiring working parameters of the power transmission end and the energy consumption end at regular time and generating a historical working record;
the curve generation unit is used for generating a power transmission end output curve and an energy consumption end working curve according to the historical working record;
the theoretical calculation unit is used for inputting the output curve of the power transmission end into a preset identification analysis model determined by the power transmission network and determining a theoretical working curve of each energy consumption end;
the curve comparison unit is used for comparing the theoretical working curve with the working curve of the energy consumption end and determining the abnormal value of each energy consumption end according to the comparison result;
and the installation execution unit is used for calculating the abnormal probability of each power transmission section based on the abnormal value of the energy consumption end and installing the electrical parameter acquisition table based on the abnormal probability.
7. The system of claim 6, wherein the transmission network building module comprises:
the network generation unit is used for inquiring the power transmission end in the record base, acquiring the position information of the power transmission end and generating an initial network containing a dynamic scale according to the position information of the power transmission end;
the position query unit is used for sequentially acquiring the output lines of the power transmission ends and querying the position information of the energy consumption ends on the basis of the output lines;
the data insertion unit is used for adjusting the scale in real time according to the position information of the energy consumption end and the position information of the power transmission end, and recording scales corresponding to different energy consumption ends;
and the building execution unit is used for building the power transmission network based on the scale.
8. The dc power transmission system reliability evaluation system of claim 6, wherein the correlation determination module comprises:
the signal conversion unit is used for acquiring the acquired data of the electric parameter acquisition table in real time and converting the acquired data into a jump signal according to a preset data threshold; the data threshold is a proportion determined by historical data of the electrical parameter acquisition table;
the first classification unit is used for counting all the jumping signals by the same time shaft and classifying the jumping signals according to a preset incremental step length; different step sizes correspond to different correlation values;
the second classification unit is used for classifying the power transmission sections according to the jump signals containing the classification results, and taking the correlation values corresponding to the step lengths as labels of the same type of power transmission sections;
wherein the step size is inversely proportional to the correlation value.
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