CN114123128A - Protection fixed value change generation method based on visual power grid expert system - Google Patents

Protection fixed value change generation method based on visual power grid expert system Download PDF

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CN114123128A
CN114123128A CN202111408151.7A CN202111408151A CN114123128A CN 114123128 A CN114123128 A CN 114123128A CN 202111408151 A CN202111408151 A CN 202111408151A CN 114123128 A CN114123128 A CN 114123128A
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power grid
fixed value
data
protection
topological structure
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CN114123128B (en
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李正新
赵武智
陈斗沙
罗琨
刘丽
李波
郝东方
李义
陈远
张羽松
张增权
杜硕
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Guizhou Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00Emergency 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
    • H02H7/26Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
    • H02H7/261Sectionalised 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
    • H02H7/262Sectionalised 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 switching or blocking orders
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00001Circuit 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 the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00006Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit 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
    • H02J13/00006Circuit 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
    • H02J13/00016Circuit 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 a wired telecommunication network or a data transmission bus
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/20Systems supporting electrical power generation, transmission or distribution using protection elements, arrangements or systems
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/124Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a protection fixed value change generation method based on a visual power grid expert system, which comprises the following steps: evaluating the topological structure conditions of various power grid protection devices to obtain predicted fixed value setting; performing one-time judgment comparison calculation according to the pre-measured value, acquiring a changed fixed value corresponding to the topological structure, and generating a fixed value data unit; summarizing and storing the constant value data units in a constant value database in a one-to-one correspondence manner according to the types of the topological structures; carrying out error fault on-line identification on the running state of the relay protection equipment of each node of each regional power grid network to obtain the current power grid protection equipment topological structure; inputting the topological structure into a fixed value database, and searching a fixed value data unit corresponding to the topological structure; and carrying out control code modification and updating on the power grid protection equipment. The method can calculate more scientific and effective protection fixed values, can remotely change and generate the protection fixed values, enhances the safety of power supply of the power grid, and achieves the effects of finding problems in time and solving the problems in time.

Description

Protection fixed value change generation method based on visual power grid expert system
Technical Field
The invention relates to the technical field of power grid protection, in particular to a protection fixed value change generation method based on a visual power grid expert system.
Background
The relay protection is an important component of the power system, the effectiveness and timeliness of relay protection constant value management work are powerful guarantees of safe and stable operation of a power grid, and a three-layer constant value management system model based on a browser/Web server/database server is constructed by utilizing a workflow technology on the basis of analyzing the characteristics of the relay protection constant value management work.
The potential hazards of circuit faults are caused by different power consumption requirements of external environments or unreasonable power consumption and the like, and under the condition, the safe operation of a power grid cannot be guaranteed by the unchanged power grid protection value, so that the occurrence of the power grid faults is avoided by predicting and calculating a more safe and reliable protection fixed value in advance, and a large amount of previous protection fixed value change data are required to be used as the basis for identifying and judging the faults.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the difference of the power consumption requirements of the external environment or unreasonable power consumption and the like are hidden troubles of circuit faults, and the unchanged power grid protection value cannot guarantee the safe operation of the power grid, so that the reliability of the operation safety of the power grid is poor.
In order to solve the technical problems, the invention provides the following technical scheme: evaluating the topological structure conditions of various power grid protection devices through a power grid expert system to obtain predicted fixed value setting; performing one-time judgment comparison calculation according to the pre-measured value, acquiring a change fixed value corresponding to each power grid protection equipment topological structure, and generating a fixed value data unit; the generated constant value data units are summarized and stored in a constant value database in a one-to-one correspondence manner according to the topological structure type of the power grid protection equipment; carrying out error fault on-line identification on the running state of the relay protection equipment of each node of each regional power grid network, and making data judgment to obtain the current power grid protection equipment topological structure; inputting the obtained topological structure of the current power grid protection equipment into a fixed value database, and searching a fixed value data unit corresponding to the topological structure of the current power grid protection equipment; and carrying out control coding modification updating on the power grid protection equipment by the obtained fixed value data unit for recording the current network structure through a data transmission module of the visual management platform, and finishing the production change of the power grid protection fixed value.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the method for constructing the topological structure comprises the steps of initializing, wherein power carrier STA of each branch is in an unpowered state; electrifying a concentrator CCO, and acquiring an NTB value of the concentrator CCO in real time after the concentrator CCO operates, wherein the NTB is a time reference of the CCO; randomly electrifying the branch where the power carrier STA is located, wherein the electrifying time interval of the branch where each STA is located is greater than T, and the T is generally 100 milliseconds; the concentrator CCO records the current NTB value and the corresponding unique STA code at the moment of receiving the power-on access of the STA; the CCO of the concentrator is listed as a unified branch according to the STA which is recorded on the case and corresponds to the same NTB value; after all branches are powered on, the STAs with the same NTB value are classified into the same branch, and the branch topological relation of the whole carrier communication network is obtained.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the one-time judgment comparison calculation process comprises the following steps,
an input layer: i;
hiding the layer:
Figure BDA0003365238280000021
an output layer:
Figure BDA0003365238280000022
as an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: also comprises the following steps of (1) preparing,
Figure BDA0003365238280000023
wherein,
Figure BDA0003365238280000025
indicates the duration of contrast, aiWhich represents the speed of the speed in contrast,
Figure BDA0003365238280000024
the number of iterations is indicated, a is the impact factor and Loss is the Loss function.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the storage mode of the fixed value database comprises that the changed fixed value of the fixed value data unit is captured in real time; establishing a grabbing classification model according to the storage classification conditions; and capturing the changed fixed value of the fixed value data unit based on the capture classification model to obtain classified and extracted data, and storing the classified data in the fixed value database.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the error fault online identification process comprises the steps of obtaining data information related to faults and converting the data information into digital signals by using an analog-to-digital (A/D) converter; representing the characteristic value of the digital signal in a two-dimensional rectangular coordinate system; calculating the similarity between the real-time data information and the historical fault data information by using an Euclidean distance strategy, and judging that a fault exists when the similarity is smaller than a preset threshold value; the calculation formula of the Euclidean distance strategy is as follows:
Figure BDA0003365238280000031
wherein (x)1,y1)、(x2,y2) And two-dimensional coordinate points respectively representing the real-time data information and the historical fault data information.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the process of finding out the fixed value data units corresponding to the current power grid protection equipment topological structure comprises the steps of comparing and matching the fixed value data units according to the priorities of the fixed value data units stored in a classified mode, wherein the priority of the fixed value data units is extracted to be matched with the current power grid protection equipment topological structure;
the matching function comprises:
Figure BDA0003365238280000032
wherein R isiAnd RjThe categories i and j are represented separately,
Figure BDA0003365238280000033
is a feature vector of the data of the class i,
Figure BDA0003365238280000034
is a data feature vector dimension.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: when the equipment is replaced every time, three power consumption quarterly change fixed values of the replaced power grid protection equipment are reserved and used as basic data for the first fixed value change setting of the new power grid protection equipment.
As an optimal solution of the protection fixed value change generation method based on the visual power grid expert system, the method comprises the following steps: the establishing process of the grabbing classification model comprises the steps of obtaining classification rule data information and establishing grabbing classification rules, wherein the classification rule data information comprises data occurrence probability values; traversing the received data, obtaining data information characteristic nodes based on decision tree strategy analysis, and capturing the characteristic nodes for four times according to the capturing classification rules to obtain a regular proportion; calculating the ratio of the proportion of the positive examples captured by the feature nodes of the four times; if the ratio of the positive proportion is larger than a preset threshold value, the capture model is invalid, and the received data is traversed again; and if the proportion of the positive proportion is smaller than or equal to a preset threshold value, the capture model is valid, and the received data is captured and classified to obtain the classified data.
The invention has the beneficial effects that: the invention can identify the operation state of the power grid protection equipment on line through the power grid expert system to obtain the conclusion whether a fault exists, give out a pre-measured value obtained by evaluation, calculate a more scientific and effective protection constant value, realize the function of remotely changing and generating the protection constant value, enhance the power supply safety of the power grid and achieve the effect of finding the problem in time and solving the problem.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a basic flow diagram of a protection fixed value change generation method based on a visual power grid expert system according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, for an embodiment of the present invention, a protection fixed value change generation method based on a visual power grid expert system is provided, including:
s1: and evaluating the topological structure conditions of various power grid protection devices through a power grid expert system to obtain the predicted fixed value setting.
It should be noted that the method for constructing the topology structure includes:
initializing, wherein the power carrier STA of each branch is in an unpowered state;
electrifying the concentrator CCO, and acquiring the NTB value of the concentrator CCO in real time after the concentrator CCO operates, wherein the NTB is the time reference of the CCO;
randomly electrifying the branch where the power carrier STA is located, wherein the electrifying time interval of the branch where each STA is located is greater than T, and the T is generally 100 milliseconds;
the concentrator CCO records the current NTB value and the corresponding unique STA code at the moment of receiving the power-on access of the STA;
the CCO of the concentrator is listed as a unified branch according to the STA which is recorded in the case and corresponds to the same NTB value;
after all branches are powered on, the STAs with the same NTB value are classified into the same branch, and the branch topological relation of the whole carrier communication network is obtained.
Furthermore, when the equipment is replaced every time, three power consumption quarter change fixed values of the replaced power grid protection equipment are reserved and used as basic data for the first fixed value change setting of the new power grid protection equipment.
S2: and performing one-time judgment comparison calculation according to the pre-measured value, acquiring a change fixed value corresponding to each power grid protection equipment topological structure, and generating a fixed value data unit.
It should be noted that the one-time judgment comparison calculation process includes:
an input layer: i;
hiding the layer:
Figure BDA0003365238280000051
an output layer:
Figure BDA0003365238280000061
further comprising:
Figure BDA0003365238280000062
wherein,
Figure BDA0003365238280000064
indicates the duration of contrast, aiWhich represents the speed of the speed in contrast,
Figure BDA0003365238280000063
the number of iterations is indicated, a is the impact factor and Loss is the Loss function.
S3: and summarizing the generated constant value data units in a one-to-one correspondence manner according to the topological structure types of the power grid protection equipment, and storing the summarized constant value data units in a constant value database.
The storage method of the fixed value database includes:
capturing the change constant value of the constant value data unit in real time;
establishing a grabbing classification model according to the storage classification conditions;
and (4) capturing the change fixed value of the fixed value data unit based on the capture classification model to obtain classified and extracted data, and storing the classified data in a fixed value database.
Specifically, the establishing process of the grasping classification model comprises the following steps:
acquiring classification rule data information, and establishing a capture classification rule, wherein the classification rule data information comprises a data occurrence probability value;
traversing the received data, obtaining data information characteristic nodes based on decision tree strategy analysis, and capturing the characteristic nodes for four times according to a capturing classification rule to obtain a normal proportion;
calculating the ratio of the proportion of the positive examples captured by the feature nodes of the four times;
if the positive proportion ratio is larger than the preset threshold, the capture model is invalid, and the received data is traversed again;
and if the ratio of the positive proportion is smaller than or equal to the preset threshold, the capture model is effective, and the received data is captured and classified to obtain classified data.
S4: and carrying out error fault on-line identification on the running state of the relay protection equipment of each node of each regional power grid network, and judging data to obtain the current power grid protection equipment topological structure.
It should be noted that, the online fault identification process includes,
acquiring data information related to a fault, and converting the data information into a digital signal by using an A/D (analog/digital) converter;
representing the characteristic value of the digital signal in a two-dimensional rectangular coordinate system;
calculating the similarity between the real-time data information and the historical fault data information by using an Euclidean distance strategy, and judging that a fault exists when the similarity is smaller than a preset threshold value;
the calculation formula of the Euclidean distance strategy is as follows:
Figure BDA0003365238280000071
wherein (x)1,y1)、(x2,y2) And two-dimensional coordinate points respectively representing the real-time data information and the historical fault data information.
S5: and inputting the obtained topological structure of the current power grid protection equipment into a fixed value database, and searching a fixed value data unit corresponding to the topological structure of the current power grid protection equipment.
It should be noted that the process of finding the fixed value data unit corresponding to the current power grid protection device topology structure includes:
comparing and matching the priority levels of the fixed value data units stored in a classified mode one by one, and extracting the priority level of the priority level in the front to match the topological structure of the current power grid protection equipment;
the matching function comprises:
Figure BDA0003365238280000072
wherein R isiAnd RjThe categories i and j are represented separately,
Figure BDA0003365238280000073
is a feature vector of the data of the class i,
Figure BDA0003365238280000074
is a data feature vector dimension.
S6: and carrying out control coding modification updating on the power grid protection equipment by the obtained fixed value data unit for recording the current network structure through a data transmission module of the visual management platform, and finishing the production change of the power grid protection fixed value.
The invention can identify the operation state of the power grid protection equipment on line through the power grid expert system to obtain the conclusion whether a fault exists, give out a pre-measured value obtained by evaluation, calculate a more scientific and effective protection constant value, realize the function of remotely changing and generating the protection constant value, enhance the power supply safety of the power grid and achieve the effect of finding the problem in time and solving the problem.
Example 2
The embodiment is another embodiment of the present invention, which is different from the first embodiment, and provides a verification test of a protection fixed value change generation method based on a visual grid expert system, in order to verify and explain the technical effects adopted in the method, the embodiment adopts a conventional technical scheme and the method of the present invention to perform a comparison test, and compares test results by means of scientific demonstration to verify the true effects of the method.
The traditional technical scheme is as follows: the operation safety and reliability of the power grid are low. Compared with the traditional method, the method has higher safety and reliability. In this embodiment, the operation safety of the simulation power grid system is measured and compared in real time by using the conventional method and the method.
And (3) testing environment: the simulation platform simulates and operates a power grid system and simulates the occurrence of power grid faults, the traditional method and the method are respectively utilized, the automatic test equipment is started, MATLB software programming is utilized to realize simulation tests of the two methods, simulation data are obtained according to experimental results, and the results are shown in the following table.
Table 1: the experimental results are shown in a comparison table.
Test specimen Conventional methods The method of the invention
Rate of occurrence of failure 12% 2.3%
Protection fixed value calculation efficiency 83% 98%
Time delay 6.7ms 1.1ms
As can be seen from the above table, the method of the present invention has strong robustness.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.

Claims (9)

1. A protection fixed value change generation method based on a visual power grid expert system is characterized by comprising the following steps:
evaluating the topological structure conditions of various power grid protection devices through a power grid expert system to obtain predicted fixed value setting;
performing one-time judgment comparison calculation according to the pre-measured value, acquiring a change fixed value corresponding to each power grid protection equipment topological structure, and generating a fixed value data unit;
the generated constant value data units are summarized and stored in a constant value database in a one-to-one correspondence manner according to the topological structure type of the power grid protection equipment;
carrying out error fault on-line identification on the running state of the relay protection equipment of each node of each regional power grid network, and making data judgment to obtain the current power grid protection equipment topological structure;
inputting the obtained topological structure of the current power grid protection equipment into a fixed value database, and searching a fixed value data unit corresponding to the topological structure of the current power grid protection equipment;
and carrying out control coding modification updating on the power grid protection equipment by the obtained fixed value data unit for recording the current network structure through a data transmission module of the visual management platform, and finishing the production change of the power grid protection fixed value.
2. The protection fixed value change generation method based on the visual power grid expert system according to claim 1, characterized by comprising the following steps: the construction method of the topological structure comprises the following steps,
initializing, wherein the power carrier STA of each branch is in an unpowered state;
electrifying a concentrator CCO, and acquiring an NTB value of the concentrator CCO in real time after the concentrator CCO operates, wherein the NTB is a time reference of the CCO;
randomly electrifying the branch where the power carrier STA is located, wherein the electrifying time interval of the branch where each STA is located is greater than T, and the T is generally 100 milliseconds;
the concentrator CCO records the current NTB value and the corresponding unique STA code at the moment of receiving the power-on access of the STA;
the CCO of the concentrator is listed as a unified branch according to the STA which is recorded on the case and corresponds to the same NTB value;
after all branches are powered on, the STAs with the same NTB value are classified into the same branch, and the branch topological relation of the whole carrier communication network is obtained.
3. The protection fixed value change generation method based on the visual power grid expert system according to claim 1 or 2, characterized by comprising the following steps: the one-time judgment comparison calculation process comprises the following steps,
an input layer: i;
hiding the layer:
Figure FDA0003365238270000021
an output layer:
Figure FDA0003365238270000022
4. the protection fixed value change generation method based on the visual power grid expert system according to claim 3, characterized by comprising the following steps: also comprises the following steps of (1) preparing,
Figure FDA0003365238270000023
wherein,
Figure FDA0003365238270000024
indicates the duration of contrast, aiWhich represents the speed of the speed in contrast,
Figure FDA0003365238270000025
the number of iterations is indicated, a is the impact factor and Loss is the Loss function.
5. The protection fixed value change generation method based on the visual power grid expert system according to claim 4, characterized in that: the storage mode of the fixed value database comprises,
capturing the changed fixed value of the fixed value data unit in real time;
establishing a grabbing classification model according to the storage classification conditions;
and capturing the changed fixed value of the fixed value data unit based on the capture classification model to obtain classified and extracted data, and storing the classified data in the fixed value database.
6. The protection fixed value change generation method based on the visual power grid expert system according to claim 5, characterized in that: the online false fault identification process includes,
acquiring data information related to a fault, and converting the data information into a digital signal by using an A/D (analog/digital) converter;
representing the characteristic value of the digital signal in a two-dimensional rectangular coordinate system;
calculating the similarity between the real-time data information and the historical fault data information by using an Euclidean distance strategy, and judging that a fault exists when the similarity is smaller than a preset threshold value;
the calculation formula of the Euclidean distance strategy is as follows:
Figure FDA0003365238270000026
wherein (x)1,t1)、(x2,y2) And two-dimensional coordinate points respectively representing the real-time data information and the historical fault data information.
7. The protection fixed value change generation method based on the visual power grid expert system according to claim 6, characterized in that: the process of finding out the fixed value data unit corresponding to the current power grid protection device topological structure comprises the following steps of,
comparing and matching the priority levels of the fixed value data units stored in a classified mode one by one, wherein the priority level of the priority levels is extracted to be matched with the current power grid protection equipment topological structure;
the matching function comprises:
Figure FDA0003365238270000031
wherein R isiAnd RjThe categories i and j are represented separately,
Figure FDA0003365238270000032
is a feature vector of the data of the class i,
Figure FDA0003365238270000033
is a data feature vector dimension.
8. The protection fixed value change generation method based on the visual power grid expert system according to claim 7, characterized by comprising the following steps: when the equipment is replaced every time, three power consumption quarterly change fixed values of the replaced power grid protection equipment are reserved and used as basic data for the first fixed value change setting of the new power grid protection equipment.
9. The protection fixed value change generation method based on the visual power grid expert system according to claim 8, characterized in that: the establishing process of the grabbing classification model comprises the following steps,
acquiring classification rule data information and establishing a capturing classification rule, wherein the classification rule data information comprises a data occurrence probability value;
traversing the received data, obtaining data information characteristic nodes based on decision tree strategy analysis, and capturing the characteristic nodes for four times according to the capturing classification rules to obtain a regular proportion;
calculating the ratio of the proportion of the positive examples captured by the feature nodes of the four times;
if the ratio of the positive proportion is larger than a preset threshold value, the capture model is invalid, and the received data is traversed again;
and if the proportion of the positive proportion is smaller than or equal to a preset threshold value, the capture model is valid, and the received data is captured and classified to obtain the classified data.
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