CN116316481B - Power system distribution network protection fixed value setting system based on big data - Google Patents
Power system distribution network protection fixed value setting system based on big data Download PDFInfo
- Publication number
- CN116316481B CN116316481B CN202310282150.5A CN202310282150A CN116316481B CN 116316481 B CN116316481 B CN 116316481B CN 202310282150 A CN202310282150 A CN 202310282150A CN 116316481 B CN116316481 B CN 116316481B
- Authority
- CN
- China
- Prior art keywords
- value
- distribution network
- marking
- analysis object
- fault
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 84
- 238000012544 monitoring process Methods 0.000 claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 15
- 238000012216 screening Methods 0.000 claims description 7
- 238000012935 Averaging Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 abstract description 7
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 206010019233 Headaches Diseases 0.000 description 2
- 231100000869 headache Toxicity 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- 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
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/263—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of measured values
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H1/00—Details of emergency protective circuit arrangements
- H02H1/0007—Details of emergency protective circuit arrangements concerning the detecting means
-
- 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
-
- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
-
- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application belongs to the field of power grids, relates to a data analysis technology, and aims to solve the problem that a power system distribution network protection fixed value setting system in the prior art cannot dynamically adjust a distribution network protection fixed value of a power system in combination with an actual distribution state of a distribution network, and particularly relates to a power system distribution network protection fixed value setting system based on big data, which comprises a server, wherein the server is in communication connection with a line analysis module, a fault monitoring module and a storage module, and the line analysis module is used for carrying out fixed value analysis on a distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object; the application carries out fixed value analysis on the distribution line of the distribution network system, and obtains the supply coefficient by carrying out comprehensive calculation and analysis on each basic parameter of the distribution line in the distribution network system, thereby carrying out distribution network protection fixed value setting in different modes, reducing the distribution network cost and meeting the construction requirement of 'simple and applicable'.
Description
Technical Field
The application belongs to the field of power grids, relates to a data analysis technology, and particularly relates to a power system distribution network protection fixed value setting system based on big data.
Background
With the continuous promotion of distribution automation construction in the whole country, new problems and difficulties are continuously generated, wherein the distribution network fixed value configuration is a troublesome problem, and is also a headache problem of distribution network workers of power supply companies, the main reason of the problem is pursued, the problem is determined by the characteristics of the distribution network, and after distribution network lines adopt distribution automation equipment, a plurality of distribution equipment are necessarily installed in one line for ensuring the remote measuring, remote signaling and remote control functions of the lines, and the distribution equipment generally has a protection function;
however, in the power system distribution network protection fixed value setting system in the prior art, the distribution network protection fixed value of the power system cannot be dynamically adjusted by combining with the actual distribution state of the power distribution network, so that the fixed distribution network protection fixed value cannot be combined with the actual distribution state of the power distribution network, and the monitoring and early warning effects of the distribution network protection fixed value are poor;
the application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a power system distribution network protection fixed value setting system based on big data, which is used for solving the problem that the power system distribution network protection fixed value setting system in the prior art cannot be combined with the actual distribution state of a power distribution network to dynamically adjust the distribution network protection fixed value of the power system.
The technical problems to be solved by the application are as follows: how to provide a power system distribution network protection fixed value setting system based on big data, which can dynamically adjust the distribution network protection fixed value of a power system in combination with the actual distribution state of a distribution network.
The aim of the application can be achieved by the following technical scheme:
the power system distribution network protection fixed value setting system based on big data comprises a server, wherein the server is in communication connection with a line analysis module, a fault monitoring module and a storage module;
the line analysis module is used for carrying out fixed value analysis on the distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object, and acquiring line length data XC, ring network data HW and amplitude supply data GF of the analysis object; obtaining a supply coefficient GY of the analysis object by carrying out numerical calculation on line length data XC, ring network data HW and supply width data GF of the analysis object; obtaining a supply threshold GYmax through a storage module, comparing a supply coefficient GY of an analysis object with the supply threshold GYmax, and marking a fixed value characteristic of the analysis object through a comparison result; transmitting the fixed value characteristics of the analysis object to a server;
the fault monitoring module is used for monitoring and analyzing the fault condition of the distribution network system and obtaining L1 marked areas; generating a monitoring period, carrying out fault monitoring on the L1 marked areas in the monitoring period, obtaining a service average value and a service wave value of the monitoring areas, obtaining a service average threshold value and a service wave threshold value through a storage module, comparing the service average value and the service wave value with the service average threshold value and the service wave threshold value respectively, and judging the distribution network safety of the distribution network system through comparison results.
As a preferred embodiment of the present application, the analysis object line length data XC is an analysis object cable length value, the analysis object ring network data HW is an analysis object distribution line number value, and the acquisition process of the amplitude data GF includes: and acquiring the maximum power value and the minimum power value of the analysis object in the last L1 days, and marking the difference value between the maximum power value and the minimum power value as the amplitude supply data GF.
As a preferred embodiment of the present application, the specific process of comparing the supply coefficient GY of the analysis object with the supply threshold value GYmax includes: if the supply coefficient GY is smaller than the supply threshold GYmax, marking the constant value characteristic of the analysis object as applicable; if the supply coefficient GY is equal to or greater than the supply threshold GYmax, the constant value feature of the analysis object is marked as protection.
As a preferred embodiment of the present application, the process of acquiring the marker region includes: marking an analysis object with the largest value of the supply coefficient GY as a marking object, drawing a circle by taking the middle point of the line length of the marking object as a circle center and r1 as a radius, marking the obtained circular area as a marking area, marking the analysis object which does not cross the marking area as a screening object, marking the screening object with the largest value of the supply coefficient GY as a marking object, and acquiring the marking area corresponding to the marking object again until the number of the marking areas reaches L1.
As a preferred embodiment of the present application, the process of obtaining the mean value and the event value includes: marking the times of faults of the distribution lines in the marking areas in a monitoring period as fault values, summing the fault values of all the marking areas, averaging to obtain a fault mean value, forming a fault set by the fault values of all the marking areas, and calculating the variance of the fault set to obtain a fault wave value.
As a preferred embodiment of the present application, the specific process of comparing the mean value and the wave value with the mean value and the wave threshold value respectively includes: if the average value is smaller than or equal to the average value and the wave value is smaller than or equal to the wave threshold, generating a distribution network normal signal and sending the distribution network normal signal to a server, and after receiving the distribution network normal signal, the server sends the distribution network normal signal to a mobile phone terminal of a manager; if the wave value is larger than the Yu Gubo threshold value, generating a fixed value adjusting signal and sending the fixed value adjusting signal to a server, and after receiving the fixed value adjusting signal, the server sends the fixed value adjusting signal to a mobile phone terminal of a manager; if the event mean value is larger than the event mean threshold value and the event wave value is smaller than or equal to the event wave threshold value, generating a distribution network fault signal and sending the distribution network fault signal to a server, and after receiving the distribution network fault signal, the server sends the distribution network fault signal to a mobile phone terminal of a manager.
The working method of the power system distribution network protection fixed value setting system based on big data comprises the following steps:
step one: and carrying out fixed value analysis on a distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object, obtaining line length data XC, ring network data HW and amplitude supply data GF of the analysis object, and performing numerical calculation to obtain a supply coefficient GY;
step two: marking the constant value characteristic of the analysis object as applicable or protected by the value of the supply coefficient GY;
step three: monitoring and analyzing the fault condition of the distribution network system, obtaining L1 marked areas, generating a monitoring period, and obtaining the accident mean value and the accident wave value of the marked areas in the monitoring period;
step four: generating a distribution network safety signal, a distribution network fault signal or a fixed value adjusting signal according to the numerical values of the event mean value and the event wave value, and sending the signals to a server.
The application has the following beneficial effects:
1. the application can carry out fixed value analysis on the distribution line of the distribution network system through the line analysis module, and obtains the supply coefficient through comprehensive calculation and analysis on each basic parameter of the distribution line in the distribution network system, thereby feeding back the complexity necessity when the distribution network protection fixed value is set for the power supply line according to the supply coefficient, marking the fixed value characteristic of the power supply line according to the size of the supply coefficient, further adopting different modes to carry out distribution network protection fixed value setting, and meeting the construction requirement of 'simple and applicable', while reducing the distribution network cost;
2. the application can monitor and analyze the fault condition of the distribution network system through the fault monitoring module, divide the coverage area of the distribution network system into a plurality of sub-areas through the area division mode, and comprehensively analyze the fault data in the sub-areas to obtain the event mean value and the event wave value, thereby feeding back the distribution network state of the distribution network coverage area according to the event mean value and the event wave value, analyzing the necessity of adjusting the fixed value, and realizing the dynamic adjustment of the protection fixed value of the distribution network.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
With the continuous promotion of distribution automation construction in the whole country, new problems and difficulties are continuously generated, wherein the distribution network fixed value configuration is a troublesome problem, and is also a headache problem of distribution network workers of power supply companies, the main reason of the problem is pursued, the problem is determined by the characteristics of the distribution network, and after distribution network lines adopt distribution automation equipment, a plurality of distribution equipment are necessarily installed in one line for ensuring the remote measuring, remote signaling and remote control functions of the lines, and the distribution equipment generally has a protection function;
aiming at the characteristics of short distribution network line distance, multiple ring networks, variable operation modes and the like, the simple overcurrent protection of the self-distribution equipment is difficult to meet the requirements, but if complex protection is needed to be configured like a main network, the main network protection principle is not only not suitable for the multiple increase of the construction cost of the distribution network, but also is not suitable for the construction requirement of 'simple application' of national network companies, so that the aim of safe and reliable operation of the distribution network is achieved by setting a reasonable distribution network setting principle, which is important:
example 1
As shown in FIG. 1, the power system distribution network protection fixed value setting system based on big data comprises a server, wherein the server is in communication connection with a line analysis module, a fault monitoring module and a storage module.
The line analysis module is used for carrying out fixed value analysis on the distribution lines of the distribution network system: marking a distribution line of a distribution network system as an analysis object, acquiring line length data XC, ring network data HW and amplitude supply data GF of the analysis object, wherein the line length data XC of the analysis object is a cable length value of the analysis object, the ring network data HW of the analysis object is a distribution line quantity value connected with the analysis object, and the acquisition process of the amplitude supply data GF comprises the following steps: acquiring a power maximum value and a power minimum value of an analysis object in the last L1 days, and marking a difference value between the power maximum value and the power minimum value as amplitude supply data GF; obtaining a supply coefficient GY of an analysis object through a formula gy=α1×xc+α2×hw+α3×gf, wherein α1, α2 and α3 are proportionality coefficients, and α1 > α2 > α3 > 1; the supply threshold value GYmax is acquired by the storage module, and the supply coefficient GY of the analysis object is compared with the supply threshold value GYmax: if the supply coefficient GY is smaller than the supply threshold GYmax, marking the constant value characteristic of the analysis object as applicable; if the supply coefficient GY is larger than or equal to the supply threshold GYmax, marking the constant value characteristic of the analysis object as protection; transmitting the fixed value characteristics of the analysis object to a server; the distribution line of the distribution network system is subjected to fixed value analysis, and the supply coefficient is obtained by comprehensively calculating and analyzing various basic parameters of the distribution line in the distribution network system, so that the complexity of the distribution network protection fixed value setting of the power supply line is fed back according to the supply coefficient, the fixed value characteristic of the power supply line is marked according to the size of the supply coefficient, the distribution network protection fixed value setting is performed in different modes, and the construction requirement of 'simple and applicable' can be met while the distribution network cost is reduced.
The fault monitoring module is used for monitoring and analyzing the fault condition of the distribution network system: marking an analysis object with the largest value of the supply coefficient GY as a marking object, drawing a circle by taking the middle point of the line length of the marking object as a circle center and r1 as a radius, marking the obtained circular area as a marking area, wherein r1 is a constant value, and the specific value of r1 is set by a manager; marking the analysis objects which do not cross the marking areas as screening objects, marking the screening objects with the largest supply coefficient GY value as marking objects, and obtaining the marking areas corresponding to the marking objects again until the number of the marking areas reaches L1; l1 is a constant value, and the value of L1 is set by a manager; generating a monitoring period, and performing fault monitoring on the L1 marked areas in the monitoring period: marking the number of faults of the distribution circuit in the marking area in a monitoring period as fault values, summing the fault values of all the marking areas, taking an average value to obtain a fault average value, forming a fault set by the fault values of all the marking areas, calculating the variance of the fault set to obtain a fault average value and a fault wave threshold value, acquiring the fault average value and the fault wave threshold value by a storage module, and comparing the fault average value and the fault wave value with the fault average value and the fault wave threshold value respectively: if the average value is smaller than or equal to the average value and the wave value is smaller than or equal to the wave threshold, generating a distribution network normal signal and sending the distribution network normal signal to a server, and after receiving the distribution network normal signal, the server sends the distribution network normal signal to a mobile phone terminal of a manager; if the wave value is larger than the Yu Gubo threshold value, generating a fixed value adjusting signal and sending the fixed value adjusting signal to a server, and after receiving the fixed value adjusting signal, the server sends the fixed value adjusting signal to a mobile phone terminal of a manager; if the event mean value is larger than the event mean threshold value and the event wave value is smaller than or equal to the event wave threshold value, generating a distribution network fault signal and sending the distribution network fault signal to a server, and after receiving the distribution network fault signal, the server sends the distribution network fault signal to a mobile phone terminal of a manager; the fault condition of the distribution network system is monitored and analyzed, the coverage area of the distribution network system is divided into a plurality of sub-areas in a region division mode, the fault data in the sub-areas are comprehensively analyzed to obtain the mean value and the mean value, the distribution network state of the coverage area of the distribution network is fed back according to the mean value and the mean value, meanwhile, the fixed value adjustment necessity is analyzed, and the dynamic adjustment of the protection fixed value of the distribution network is realized.
Example two
As shown in fig. 2, the method for setting the protection set value of the power system distribution network based on big data comprises the following steps:
step one: and carrying out fixed value analysis on a distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object, obtaining line length data XC, ring network data HW and amplitude supply data GF of the analysis object, and performing numerical calculation to obtain a supply coefficient GY;
step two: marking the fixed value characteristic of the analysis object as applicable or protected through the value of the supply coefficient GY, and feeding back the complexity necessity of setting the distribution network protection fixed value of the power supply line according to the supply coefficient GY so as to mark the fixed value characteristic of the power supply line;
step three: monitoring and analyzing the fault condition of the distribution network system, obtaining L1 marked areas, generating a monitoring period, and obtaining the accident mean value and the accident wave value of the marked areas in the monitoring period;
step four: and generating a distribution network safety signal, a distribution network fault signal or a fixed value adjusting signal according to the numerical values of the event mean value and the event wave value, sending the distribution network safety signal, the distribution network fault signal or the fixed value adjusting signal to a server, feeding back the distribution network state of a distribution network coverage area according to the event mean value and the event wave value, and analyzing the fixed value adjusting necessity to realize dynamic adjustment of the distribution network protection fixed value.
When the application works, the distribution line of the distribution network system is subjected to constant value analysis: marking a distribution line of a distribution network system as an analysis object, obtaining line length data XC, ring network data HW and amplitude supply data GF of the analysis object, and performing numerical calculation to obtain a supply coefficient GY; marking the constant value characteristic of the analysis object as applicable or protected by the value of the supply coefficient GY; monitoring and analyzing the fault condition of the distribution network system, obtaining L1 marked areas, generating a monitoring period, and obtaining the accident mean value and the accident wave value of the marked areas in the monitoring period; generating a distribution network safety signal, a distribution network fault signal or a fixed value adjusting signal according to the numerical values of the event mean value and the event wave value, and sending the signals to a server.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula gy=α1×xc+α2×hw+α3×gf; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding supply coefficient for each group of sample data; substituting the set supply coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 5.47, 3.25 and 2.68 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding supply coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the supply coefficient is proportional to the value of the line length data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, 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 present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (2)
1. The power system distribution network protection fixed value setting system based on big data is characterized by comprising a server, wherein the server is in communication connection with a line analysis module, a fault monitoring module and a storage module;
the line analysis module is used for carrying out fixed value analysis on the distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object, and acquiring line length data XC, ring network data HW and amplitude supply data GF of the analysis object; obtaining a supply coefficient GY of the analysis object by carrying out numerical calculation on line length data XC, ring network data HW and supply width data GF of the analysis object; obtaining a supply threshold GYmax through a storage module, comparing a supply coefficient GY of an analysis object with the supply threshold GYmax, and marking a fixed value characteristic of the analysis object through a comparison result; transmitting the fixed value characteristics of the analysis object to a server;
the calculation formula of the supply coefficient GY of the analysis object is: gy=α1×xc+α2×hw+α3×gf, wherein α1, α2, and α3 are scaling factors, and α1 > α2 > α3 > 1;
the fault monitoring module is used for monitoring and analyzing the fault condition of the distribution network system and obtaining L1 marked areas; generating a monitoring period, carrying out fault monitoring on the L1 marked areas in the monitoring period, obtaining a service average value and a service wave value of the monitoring area, obtaining a service average threshold value and a service wave threshold value through a storage module, comparing the service average value and the service wave value with the service average threshold value and the service wave threshold value respectively, and judging the distribution network safety of the distribution network system through a comparison result;
the line length data XC of the analysis object is a cable length value of the analysis object, the ring network data HW of the analysis object is a distribution line quantity value connected with the analysis object, and the acquisition process of the amplitude data GF comprises: acquiring a power maximum value and a power minimum value of an analysis object in the last L1 days, and marking a difference value between the power maximum value and the power minimum value as amplitude supply data GF;
the specific process of comparing the supply coefficient GY of the analysis object with the supply threshold value GYmax includes: if the supply coefficient GY is smaller than the supply threshold GYmax, marking the constant value characteristic of the analysis object as applicable; if the supply coefficient GY is larger than or equal to the supply threshold GYmax, marking the constant value characteristic of the analysis object as protection;
the process for acquiring the marked area comprises the following steps: marking an analysis object with the largest value of the supply coefficient GY as a marking object, drawing a circle by taking the middle point of the line length of the marking object as a circle center and r1 as a radius, marking the obtained circular area as a marking area, marking the analysis object which does not cross the marking area as a screening object, marking the screening object with the largest value of the supply coefficient GY as a marking object, and acquiring the marking area corresponding to the marking object again until the number of the marking areas reaches L1;
the process for obtaining the mean value and the event value comprises the following steps: marking the times of faults of the distribution lines in the marking areas in a monitoring period as fault values, summing the fault values of all the marking areas, averaging to obtain a fault mean value, forming a fault set by the fault values of all the marking areas, and calculating variance of the fault set to obtain a fault wave value;
the specific process of comparing the event mean value and the event wave value with the event mean threshold value and the event wave threshold value respectively comprises the following steps: if the average value is smaller than or equal to the average value and the wave value is smaller than or equal to the wave threshold, generating a distribution network normal signal and sending the distribution network normal signal to a server, and after receiving the distribution network normal signal, the server sends the distribution network normal signal to a mobile phone terminal of a manager; if the wave value is larger than the Yu Gubo threshold value, generating a fixed value adjusting signal and sending the fixed value adjusting signal to a server, and after receiving the fixed value adjusting signal, the server sends the fixed value adjusting signal to a mobile phone terminal of a manager; if the event mean value is larger than the event mean threshold value and the event wave value is smaller than or equal to the event wave threshold value, generating a distribution network fault signal and sending the distribution network fault signal to a server, and after receiving the distribution network fault signal, the server sends the distribution network fault signal to a mobile phone terminal of a manager.
2. The big data-based power system distribution network protection fixed value setting system according to claim 1, wherein the working method of the big data-based power system distribution network protection fixed value setting system comprises the following steps:
step one: and carrying out fixed value analysis on a distribution line of the distribution network system: marking a distribution line of a distribution network system as an analysis object, obtaining line length data XC, ring network data HW and amplitude supply data GF of the analysis object, and performing numerical calculation to obtain a supply coefficient GY;
step two: marking the constant value characteristic of the analysis object as applicable or protected by the value of the supply coefficient GY;
step three: monitoring and analyzing the fault condition of the distribution network system, obtaining L1 marked areas, generating a monitoring period, and obtaining the accident mean value and the accident wave value of the marked areas in the monitoring period;
step four: generating a distribution network safety signal, a distribution network fault signal or a fixed value adjusting signal according to the numerical values of the event mean value and the event wave value, and sending the signals to a server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310282150.5A CN116316481B (en) | 2023-03-22 | 2023-03-22 | Power system distribution network protection fixed value setting system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310282150.5A CN116316481B (en) | 2023-03-22 | 2023-03-22 | Power system distribution network protection fixed value setting system based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116316481A CN116316481A (en) | 2023-06-23 |
| CN116316481B true CN116316481B (en) | 2023-08-11 |
Family
ID=86802886
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310282150.5A Active CN116316481B (en) | 2023-03-22 | 2023-03-22 | Power system distribution network protection fixed value setting system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116316481B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5600526A (en) * | 1993-10-15 | 1997-02-04 | The Texas A & M University System | Load analysis system for fault detection |
| CN105701596A (en) * | 2015-12-24 | 2016-06-22 | 国家电网公司 | Method for lean distribution network emergency maintenance and management system based on big data technology |
| CN108564254A (en) * | 2018-03-15 | 2018-09-21 | 国网四川省电力公司绵阳供电公司 | Controller switching equipment status visualization platform based on big data |
| CN112198395A (en) * | 2020-09-29 | 2021-01-08 | 国网河南省电力公司洛阳供电公司 | Synchronous data fault positioning system for power distribution network |
| CN114928171A (en) * | 2022-06-22 | 2022-08-19 | 南京国电南思科技发展股份有限公司 | Electric power secondary equipment comprehensive monitoring system based on Internet of things |
-
2023
- 2023-03-22 CN CN202310282150.5A patent/CN116316481B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5600526A (en) * | 1993-10-15 | 1997-02-04 | The Texas A & M University System | Load analysis system for fault detection |
| CN105701596A (en) * | 2015-12-24 | 2016-06-22 | 国家电网公司 | Method for lean distribution network emergency maintenance and management system based on big data technology |
| CN108564254A (en) * | 2018-03-15 | 2018-09-21 | 国网四川省电力公司绵阳供电公司 | Controller switching equipment status visualization platform based on big data |
| CN112198395A (en) * | 2020-09-29 | 2021-01-08 | 国网河南省电力公司洛阳供电公司 | Synchronous data fault positioning system for power distribution network |
| CN114928171A (en) * | 2022-06-22 | 2022-08-19 | 南京国电南思科技发展股份有限公司 | Electric power secondary equipment comprehensive monitoring system based on Internet of things |
Non-Patent Citations (1)
| Title |
|---|
| 基于大数据分析的配电网故障监测方法;贾玉健 等;山东电力技术;第44卷(第10期);第1-5页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116316481A (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114793019B (en) | Secondary equipment visual supervision system based on big data analysis | |
| CN110703008B (en) | Station domain processing method and device for broadband measurement data | |
| CN115378141B (en) | Power cable fault diagnosis early warning system and method based on data analysis | |
| CN115296422B (en) | Power cable running state monitoring and control system and method based on big data | |
| CN108506043A (en) | A kind of downhole intelligent InterWorking Equipment monitoring system and its personnel positioning method based on NB-IOT honeycomb technology of Internet of things | |
| CN114280414A (en) | Low-voltage distribution network fault positioning system and method based on topology dynamic identification | |
| CN114928171A (en) | Electric power secondary equipment comprehensive monitoring system based on Internet of things | |
| CN111007353A (en) | Fault detection method based on combination of Beidou time service and power distribution network | |
| CN111579931A (en) | Low-voltage power grid fault detection device and method | |
| CN116017545A (en) | Internet of things data transmission system based on LORA technology | |
| CN108134453A (en) | A kind of early warning alarm method of intelligent power distribution room monitoring system | |
| CN116316481B (en) | Power system distribution network protection fixed value setting system based on big data | |
| CN114928168A (en) | Offshore platform unmanned data edge computing device | |
| CN112162174B (en) | Station area fault positioning method and system based on marketing and distribution integration | |
| CN114065955A (en) | Power cable visual monitoring maintenance management system based on GIS | |
| CN212180939U (en) | 10kV line fault detection system based on medium-voltage carrier output impedance | |
| CN117169652A (en) | Distribution network fault detection positioning system based on artificial intelligence | |
| CN116562503A (en) | Intelligent comprehensive control system for power grid based on data analysis | |
| CN115765151A (en) | Safe operation and maintenance management method and system for secondary power transformation equipment | |
| CN215449473U (en) | Distribution network line fault early warning system | |
| CN112698590A (en) | Intelligent terminal control system based on GPRS remote transmission | |
| CN110751814A (en) | Electrical fire monitoring system for rail transit and early warning analysis method thereof | |
| CN206301020U (en) | A kind of power distribution network monitoring running state device for possessing four remote control function | |
| CN116542510B (en) | Optimal configuration method for ship electrical debugging process | |
| CN117937763A (en) | Real-time monitoring device for power engineering |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |