CN116961215A - Rapid fault response processing method for power system - Google Patents

Rapid fault response processing method for power system Download PDF

Info

Publication number
CN116961215A
CN116961215A CN202310734880.4A CN202310734880A CN116961215A CN 116961215 A CN116961215 A CN 116961215A CN 202310734880 A CN202310734880 A CN 202310734880A CN 116961215 A CN116961215 A CN 116961215A
Authority
CN
China
Prior art keywords
fault
power system
data
processing method
real
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.)
Pending
Application number
CN202310734880.4A
Other languages
Chinese (zh)
Inventor
蒋洁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202310734880.4A priority Critical patent/CN116961215A/en
Publication of CN116961215A publication Critical patent/CN116961215A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • H02J13/00032Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00036Systems 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
    • H02J13/0004Systems 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
    • 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
    • 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
    • H02H7/263Sectionalised 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
    • 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
    • H02J13/00002Circuit 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 monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H02J3/0012Contingency detection
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand

Landscapes

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

Abstract

The invention discloses a rapid response processing method for a power system fault, and relates to the technical field of power system fault processing; the method comprises the following steps: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters; establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system; and analyzing fault characteristics. According to the rapid response processing method for the faults of the power system, which is provided by the invention, the real-time monitoring of all aspects of the power system can be realized by the real-time data acquisition function, and the fault condition can be found in time; for example, by installing various sensors and monitoring equipment, parameters such as current, voltage, temperature and the like of the power system can be monitored in real time, and monitoring results are transmitted to the fault automatic processing module for processing.

Description

Rapid fault response processing method for power system
Technical Field
The invention relates to the technical field of power system fault processing, in particular to a power system fault rapid reaction processing method.
Background
The power system is one of the indispensable infrastructures in the modern society, and is an electric energy production and consumption system consisting of links of power generation, transformation, transmission, distribution, electricity consumption and the like; the main function of the system is that primary energy in nature is converted into electric energy through a power generation power device, and then the electric energy is supplied to each load center through a power transmission system, a power transformation system and a power distribution system.
The reliability and management efficiency of the operation of the power system are of great significance to the development of national economy and society. However, as the power system is continuously developed and expanded, the power system is inevitably subject to various faults. The traditional automatic fault processing method has certain limitations.
Therefore, how to realize real-time monitoring of all aspects of the power system and discover the fault condition in time, and quickly and accurately judge the fault type and the position of the power system is a problem to be considered.
Through retrieval, the patent with the Chinese patent application number of CN201810450672.0 discloses a power failure detection method and a device, the method is based on a browser and a server BS framework, the BS framework comprises an intranet database server, an extranet database server which is in data synchronization with the intranet database server, a failure detection terminal which is communicated with the intranet database server, and a power information monitoring master station which is communicated with the extranet database server, and is applied to the failure detection terminal, and the method comprises the following steps: receiving an electric power fault signal transmitted by an intranet database server; acquiring power operation information of a power information monitoring master station corresponding to the gate-off signal from an external network database server according to the power failure signal; and analyzing the power operation information to obtain a detection result. The detection method in the above patent has the following disadvantages: although the detection requirements can be met, the self-processing and self-repairing functions cannot be realized, and the improvement is still needed.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a rapid response processing method for power system faults.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a rapid response processing method for power system faults comprises the following steps:
s1: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters;
s2: establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system;
s3: analyzing fault characteristics; identifying fault features existing in the power system through analysis of the data model;
s4: starting a fault automatic processing program; matching in a fault library according to the identified fault characteristics, and starting a fault automatic processing program according to a matching result; the program automatically adjusts the running state of the power system according to the fault characteristics;
s5: monitoring and evaluating in real time; in the automatic fault processing process, the running state of the power system is monitored and evaluated in real time so as to ensure the effectiveness and safety of an automatic fault processing program; if new fault characteristics appear, the new fault characteristics are recorded in a fault library, and parameters and algorithms of the fault automatic processing program are timely adjusted.
Preferably: in the step S2, the specific way of establishing the mathematical model is as follows:
(1) predicting the running state of a future power system by analyzing and modeling historical data;
(2) through training and learning the data, automatically identifying fault characteristics in the power system;
(3) by modeling interactions between various components of the power system, the operating state and fault characteristics of the power system are predicted.
Preferably: in the step S3, the specific way of analyzing the fault characteristics is as follows:
(1) identifying abnormal data points through analysis and comparison of historical data, and taking the abnormal data points as fault characteristics;
(2) through training and learning of a large amount of data, fault characteristics in the power system are automatically identified;
(3) the automatic identification of fault characteristics is realized by integrating the knowledge of domain experts into a computer system.
Preferably: in the step S5, the specific manner of real-time monitoring and evaluation is as follows:
(1) through analysis and mining of real-time data, potential fault characteristics are found;
(2) the effectiveness and the safety of the fault automatic processing program are ensured through the real-time monitoring and control of the running state of the power system;
(3) by performing simulation on the power system, the effect and safety of the fault automatic processing program are evaluated.
Preferably: the rapid fault reaction processing method for the electric power system further comprises the following steps:
SA6: fault diagnosis and localization; in the automatic fault handling process, the faults need to be diagnosed and located so as to more accurately determine the characteristics and the positions of the faults;
SA7: a fault visual display;
SA8: a fault report is generated.
Preferably: in the step SA6, the specific modes of fault diagnosis and positioning are as follows:
(1) extracting fault characteristics by analyzing and processing signals in the power system;
(2) determining the position and the characteristics of the fault through pattern recognition of the operation data of the power system;
(3) by installing various intelligent sensors, the running state of the power system is monitored in real time, and faults are automatically found and positioned.
Preferably: in the step SA7 and the step SA8, the specific modes of fault visual display and fault report generation are as follows:
(1) based on the image display module, displaying the data information in an image mode;
(2) based on the report generation module, the data information is sorted and summarized, and a fault report is generated;
(3) based on the intelligent assistant module, reminding contents in the generated fault report in a voice broadcasting mode.
Preferably: in the rapid fault response processing method of the power system, a method based on a rule base is adopted for automatic fault processing, and the following formula is specifically adopted:
f(x)={0,x∈A1,x∈B
where x is the input variable and A and B are two rule sets, respectively.
Preferably: in the rapid fault response processing method of the power system, a fuzzy logic-based method is adopted for fault automatic processing, and the following formula is specifically adopted:
where x is the non-input variable and μ and λ are the weights and thresholds, respectively, of the fuzzy set.
Preferably: in the rapid fault response processing method of the power system, a method based on a genetic algorithm is adopted for automatic fault processing, and the following formula is specifically adopted:
wherein F is i (x) Is the function value of the ith generation of individuals,is the crossover probability b j (x) The variation probability, n is the population size.
The beneficial effects of the invention are as follows:
1. according to the rapid response processing method for the faults of the power system, which is provided by the invention, the real-time monitoring of all aspects of the power system can be realized by the real-time data acquisition function, and the fault condition can be found in time; for example, by installing various sensors and monitoring equipment, parameters such as current, voltage, temperature and the like of the power system can be monitored in real time, and monitoring results are transmitted to the fault automatic processing module for processing.
2. According to the rapid response processing method for the faults of the power system, the model building function can predict the running state of the power system through methods such as historical data analysis and machine learning, and the accuracy and efficiency of automatic fault processing are improved; for example, by analyzing and modeling the historical data, the load change trend and the fault probability of the power system can be predicted, so that measures are taken in advance to avoid accidents.
3. The rapid response processing method for the power system faults is characterized in that the analysis function can conduct multidimensional analysis and mining on data in the power system, and valuable information is extracted; for example, abnormal data points can be identified by analyzing data in different time periods in the power system, and classified and generalized to provide reference for subsequent automatic fault processing.
4. According to the rapid response processing method for the faults of the power system, which is provided by the invention, the fault automatic processing function can rapidly and accurately judge the fault type and position of the power system according to a preset rule base, fuzzy logic or genetic algorithm and other methods; for example, when a power system fails, the failure automatic processing module can judge according to a preset rule base or fuzzy logic, quickly determine the type and the position of the failure, and send an alarm prompt to an operator.
Drawings
Fig. 1 is a flowchart of a method for fast reacting to faults of an electric power system according to the present invention.
Detailed Description
The technical scheme of the patent is further described in detail below with reference to the specific embodiments.
Example 1:
a rapid response processing method for power system faults comprises the following steps:
s1: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters;
s2: establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system;
s3: analyzing fault characteristics; identifying fault features existing in the power system through analysis of the data model;
s4: starting a fault automatic processing program; matching in a fault library according to the identified fault characteristics, and starting a fault automatic processing program according to a matching result; the program automatically adjusts the running state of the power system according to the fault characteristics, such as adjusting the output voltage of a generator, adjusting the impedance of a power transmission line and the like, so as to restore the normal operation of the power system;
s5: monitoring and evaluating in real time; in the automatic fault processing process, the running state of the power system is monitored and evaluated in real time so as to ensure the effectiveness and safety of an automatic fault processing program; if new fault characteristics appear, the new fault characteristics are recorded in a fault library, and parameters and algorithms of the fault automatic processing program are timely adjusted.
In the step S2, a specific manner of establishing the mathematical model is as follows:
(1) predicting the running state of a future power system by analyzing and modeling historical data;
(2) through training and learning the data, automatically identifying fault characteristics in the power system;
(3) by modeling interactions between various components of the power system, the operating state and fault characteristics of the power system are predicted.
In the step S3, a specific manner of analyzing the fault feature is as follows:
(1) identifying abnormal data points through analysis and comparison of historical data, and taking the abnormal data points as fault characteristics;
(2) through training and learning of a large amount of data, fault characteristics in the power system are automatically identified;
(3) the automatic identification of fault characteristics is realized by integrating the knowledge of domain experts into a computer system.
In the step S5, the specific manner of real-time monitoring and evaluation is as follows:
(1) through analysis and mining of real-time data, potential fault characteristics are found;
(2) the effectiveness and the safety of the fault automatic processing program are ensured through the real-time monitoring and control of the running state of the power system;
(3) by performing simulation on the power system, the effect and safety of the fault automatic processing program are evaluated.
In the rapid fault response processing method of the power system, a method based on a rule base is adopted for automatic fault processing, and the following formula is specifically adopted:
f(x)={0,x∈A1,x∈B
where x is the input variable and A and B are two rule sets, respectively.
Example 2:
a rapid response processing method for power system faults comprises the following steps:
s1: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters;
s2: establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system;
s3: analyzing fault characteristics; identifying fault features existing in the power system through analysis of the data model;
s4: starting a fault automatic processing program; matching in a fault library according to the identified fault characteristics, and starting a fault automatic processing program according to a matching result; the program automatically adjusts the running state of the power system according to the fault characteristics, such as adjusting the output voltage of a generator, adjusting the impedance of a power transmission line and the like, so as to restore the normal operation of the power system;
s5: monitoring and evaluating in real time; in the automatic fault processing process, the running state of the power system is monitored and evaluated in real time so as to ensure the effectiveness and safety of an automatic fault processing program; if new fault characteristics appear, the new fault characteristics are recorded in a fault library, and parameters and algorithms of the fault automatic processing program are timely adjusted.
In the step S2, a specific manner of establishing the mathematical model is as follows:
(1) predicting the running state of a future power system by analyzing and modeling historical data;
(2) through training and learning the data, automatically identifying fault characteristics in the power system;
(3) by modeling interactions between various components of the power system, the operating state and fault characteristics of the power system are predicted.
In the step S3, a specific manner of analyzing the fault feature is as follows:
(1) identifying abnormal data points through analysis and comparison of historical data, and taking the abnormal data points as fault characteristics;
(2) through training and learning of a large amount of data, fault characteristics in the power system are automatically identified;
(3) the automatic identification of fault characteristics is realized by integrating the knowledge of domain experts into a computer system.
In the step S5, the specific manner of real-time monitoring and evaluation is as follows:
(1) through analysis and mining of real-time data, potential fault characteristics are found;
(2) the effectiveness and the safety of the fault automatic processing program are ensured through the real-time monitoring and control of the running state of the power system;
(3) by performing simulation on the power system, the effect and safety of the fault automatic processing program are evaluated.
The rapid fault reaction processing method for the electric power system further comprises the following steps:
SA6: fault diagnosis and localization; in the automatic fault handling process, the faults need to be diagnosed and located so as to more accurately determine the characteristics and the positions of the faults;
SA7: a fault visual display;
SA8: a fault report is generated.
In the step SA6, the specific manners of fault diagnosis and positioning are as follows:
(1) extracting fault characteristics by analyzing and processing signals in the power system;
(2) determining the position and the characteristics of the fault through pattern recognition of the operation data of the power system;
(3) by installing various intelligent sensors, the running state of the power system is monitored in real time, and faults are automatically found and positioned.
In the step SA7 and the step SA8, the specific modes of fault visualization display and fault report generation are as follows:
(1) based on the image display module, displaying the data information in an image mode;
(2) based on the report generation module, the data information is sorted and summarized, and a fault report is generated;
(3) based on the intelligent assistant module, reminding contents in the generated fault report in a voice broadcasting mode.
In the rapid fault response processing method of the power system, a fuzzy logic-based method is adopted for fault automatic processing, and the following formula is specifically adopted:
where x is the non-input variable and μ and λ are the weights and thresholds, respectively, of the fuzzy set.
Example 3:
a rapid response processing method for power system faults comprises the following steps:
s1: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters;
s2: establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system;
s3: analyzing fault characteristics; identifying fault features existing in the power system through analysis of the data model;
s4: starting a fault automatic processing program; matching in a fault library according to the identified fault characteristics, and starting a fault automatic processing program according to a matching result; the program automatically adjusts the running state of the power system according to the fault characteristics, such as adjusting the output voltage of a generator, adjusting the impedance of a power transmission line and the like, so as to restore the normal operation of the power system;
s5: monitoring and evaluating in real time; in the automatic fault processing process, the running state of the power system is monitored and evaluated in real time so as to ensure the effectiveness and safety of an automatic fault processing program; if new fault characteristics appear, the new fault characteristics are recorded in a fault library, and parameters and algorithms of the fault automatic processing program are timely adjusted.
In the step S2, a specific manner of establishing the mathematical model is as follows:
(1) predicting the running state of a future power system by analyzing and modeling historical data;
(2) through training and learning the data, automatically identifying fault characteristics in the power system;
(3) by modeling interactions between various components of the power system, the operating state and fault characteristics of the power system are predicted.
In the step S3, a specific manner of analyzing the fault feature is as follows:
(1) identifying abnormal data points through analysis and comparison of historical data, and taking the abnormal data points as fault characteristics;
(2) through training and learning of a large amount of data, fault characteristics in the power system are automatically identified;
(3) the automatic identification of fault characteristics is realized by integrating the knowledge of domain experts into a computer system.
In the step S5, the specific manner of real-time monitoring and evaluation is as follows:
(1) through analysis and mining of real-time data, potential fault characteristics are found;
(2) the effectiveness and the safety of the fault automatic processing program are ensured through the real-time monitoring and control of the running state of the power system;
(3) by performing simulation on the power system, the effect and safety of the fault automatic processing program are evaluated.
The rapid fault reaction processing method for the electric power system further comprises the following steps:
SA6: fault diagnosis and localization; in the automatic fault handling process, the faults need to be diagnosed and located so as to more accurately determine the characteristics and the positions of the faults;
SA7: a fault visual display;
SA8: a fault report is generated.
In the step SA6, the specific manners of fault diagnosis and positioning are as follows:
(1) extracting fault characteristics by analyzing and processing signals in the power system;
(2) determining the position and the characteristics of the fault through pattern recognition of the operation data of the power system;
(3) by installing various intelligent sensors, the running state of the power system is monitored in real time, and faults are automatically found and positioned.
In the step SA7 and the step SA8, the specific modes of fault visualization display and fault report generation are as follows:
(1) based on the image display module, displaying the data information in an image mode;
(2) based on the report generation module, the data information is sorted and summarized, and a fault report is generated;
(3) based on the intelligent assistant module, reminding contents in the generated fault report in a voice broadcasting mode.
In the rapid fault response processing method of the power system, a method based on a genetic algorithm is adopted for automatic fault processing, and the following formula is specifically adopted:
wherein F is i (x) Is the function value of the ith generation of individuals,is the crossover probability b j (x) The variation probability, n is the population size.
The rapid fault reaction processing method for the electric power system improves the reliability and safety of the electric power system; by comprehensively utilizing a plurality of functional modules such as real-time data acquisition, model establishment, feature analysis, fault automatic processing and the like, comprehensive monitoring and management of the power system are realized, and reliability, safety and management efficiency of the power system are improved.
According to the rapid response processing method for the faults of the power system, the real-time monitoring of all aspects of the power system can be realized by the real-time data acquisition function, and the fault condition can be found in time.
According to the rapid response processing method for the faults of the power system, the model building function can predict the running state of the power system through methods such as historical data analysis and machine learning, and the accuracy and efficiency of automatic fault processing are improved.
The rapid response processing method for the power system faults is characterized in that the analysis function can conduct multidimensional analysis and mining on data in the power system, and valuable information is extracted.
According to the rapid response processing method for the faults of the power system, the fault automatic processing function can rapidly and accurately judge the fault type and the fault position of the power system according to the preset rule base, fuzzy logic or genetic algorithm and other methods.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (10)

1. The rapid response processing method for the power system faults is characterized by comprising the following steps of:
s1: acquiring real-time data of a power system; acquiring data of the power system in real time through a sensor and monitoring equipment which are arranged in the power system, wherein the data comprise voltage, current and frequency parameters;
s2: establishing a mathematical model; according to the acquired real-time data, a mathematical model is established for describing the running state and fault characteristics of the power system;
s3: analyzing fault characteristics; identifying fault features existing in the power system through analysis of the data model;
s4: starting a fault automatic processing program; matching in a fault library according to the identified fault characteristics, and starting a fault automatic processing program according to a matching result; the program automatically adjusts the running state of the power system according to the fault characteristics;
s5: monitoring and evaluating in real time; in the automatic fault processing process, the running state of the power system is monitored and evaluated in real time so as to ensure the effectiveness and safety of an automatic fault processing program; if new fault characteristics appear, the new fault characteristics are recorded in a fault library, and parameters and algorithms of the fault automatic processing program are timely adjusted.
2. The rapid response processing method for power system faults according to claim 1, wherein in the step S2, a specific way of establishing a mathematical model is as follows:
(1) predicting the running state of a future power system by analyzing and modeling historical data;
(2) through training and learning the data, automatically identifying fault characteristics in the power system;
(3) by modeling interactions between various components of the power system, the operating state and fault characteristics of the power system are predicted.
3. The rapid response processing method for power system faults according to claim 1, wherein in the step S3, a specific manner of analyzing fault characteristics is as follows:
(1) identifying abnormal data points through analysis and comparison of historical data, and taking the abnormal data points as fault characteristics;
(2) through training and learning of a large amount of data, fault characteristics in the power system are automatically identified;
(3) the automatic identification of fault characteristics is realized by integrating the knowledge of domain experts into a computer system.
4. The rapid response processing method for power system faults according to claim 1, wherein in the step S5, the specific manner of real-time monitoring and evaluation is as follows:
(1) through analysis and mining of real-time data, potential fault characteristics are found;
(2) the effectiveness and the safety of the fault automatic processing program are ensured through the real-time monitoring and control of the running state of the power system;
(3) by performing simulation on the power system, the effect and safety of the fault automatic processing program are evaluated.
5. The power system fault quick response processing method according to claim 1, characterized in that the power system fault quick response processing method further comprises:
SA6: fault diagnosis and localization; in the automatic fault handling process, the faults need to be diagnosed and located so as to more accurately determine the characteristics and the positions of the faults;
SA7: a fault visual display;
SA8: a fault report is generated.
6. The rapid response processing method for power system faults as claimed in claim 5, wherein in the step of SA6, the specific means of fault diagnosis and location are as follows:
(1) extracting fault characteristics by analyzing and processing signals in the power system;
(2) determining the position and the characteristics of the fault through pattern recognition of the operation data of the power system;
(3) by installing various intelligent sensors, the running state of the power system is monitored in real time, and faults are automatically found and positioned.
7. The rapid response processing method for power system faults according to claim 5, wherein in the step of SA7 and the step of SA8, the specific modes of fault visualization display and fault report generation are as follows:
(1) based on the image display module, displaying the data information in an image mode;
(2) based on the report generation module, the data information is sorted and summarized, and a fault report is generated;
(3) based on the intelligent assistant module, reminding contents in the generated fault report in a voice broadcasting mode.
8. The rapid response processing method for power system faults according to claim 1, wherein in the rapid response processing method for power system faults, a method based on a rule base is adopted for automatic fault processing, and specifically the following formula is adopted:
f(x)={0,x∈A1,x∈B
where x is the input variable and A and B are two rule sets, respectively.
9. The rapid response processing method for power system faults according to claim 1, wherein in the rapid response processing method for power system faults, a fuzzy logic-based method is adopted for fault automatic processing, and specifically the following formula is adopted:
where x is the non-input variable and μ and λ are the weights and thresholds, respectively, of the fuzzy set.
10. The rapid response processing method for power system faults according to claim 1, wherein in the rapid response processing method for power system faults, a method based on a genetic algorithm is adopted for automatic fault processing, and specifically the following formula is adopted:
wherein F is i (x) Is the function value of the ith generation of individuals,is the crossover probability b j (x) The variation probability, n is the population size.
CN202310734880.4A 2023-06-19 2023-06-19 Rapid fault response processing method for power system Pending CN116961215A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310734880.4A CN116961215A (en) 2023-06-19 2023-06-19 Rapid fault response processing method for power system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310734880.4A CN116961215A (en) 2023-06-19 2023-06-19 Rapid fault response processing method for power system

Publications (1)

Publication Number Publication Date
CN116961215A true CN116961215A (en) 2023-10-27

Family

ID=88448353

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310734880.4A Pending CN116961215A (en) 2023-06-19 2023-06-19 Rapid fault response processing method for power system

Country Status (1)

Country Link
CN (1) CN116961215A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117289085A (en) * 2023-11-22 2023-12-26 武汉宏联电线电缆有限公司 Multi-line fault analysis and diagnosis method and system
CN117911011A (en) * 2024-03-19 2024-04-19 天津大学 AC/DC series-parallel power line fault maintenance early warning method

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117289085A (en) * 2023-11-22 2023-12-26 武汉宏联电线电缆有限公司 Multi-line fault analysis and diagnosis method and system
CN117911011A (en) * 2024-03-19 2024-04-19 天津大学 AC/DC series-parallel power line fault maintenance early warning method
CN117911011B (en) * 2024-03-19 2024-05-28 天津大学 AC/DC series-parallel power line fault maintenance early warning method

Similar Documents

Publication Publication Date Title
CN111898669B (en) Abnormal event early warning system of direct-current submerged arc furnace based on machine learning
CN116961215A (en) Rapid fault response processing method for power system
CN115423009A (en) Cloud edge coordination-oriented power equipment fault identification method and system
CN117408162B (en) Power grid fault control method based on digital twin
CN116823227A (en) Intelligent equipment management system and method based on Internet of things
CN117612345A (en) Power equipment state monitoring and alarming system and method
CN117218495A (en) Risk detection method and system for electric meter box
CN116880402A (en) Intelligent factory cooperative control system and method thereof
CN117110794A (en) Intelligent diagnosis system and method for cable faults
CN111143835B (en) Non-invasive protection method for business logic of electric power metering system based on machine learning
CN116418117A (en) Equipment detection system for intelligent power grid
CN117200449B (en) Multi-dimensional algorithm analysis-based power grid monitoring management method and system
CN118409157A (en) High-voltage leakage monitoring and fault positioning system for power network in coal mine area
CN117648237A (en) Automatic monitoring method for performance test process
CN117706290A (en) Early warning method for potential breakdown fault of cable terminal
CN110674240B (en) GIS-based distributed multistage intelligent fault diagnosis system for power equipment
CN116704729A (en) Industrial kiln early warning system and method based on big data analysis
Jingyu et al. Statistical analysis of distribution network fault information based on multi-source heterogeneous data mining
Bai et al. Abnormal Detection Scheme of Substation Equipment based on Intelligent Fusion Terminal
KR102684101B1 (en) System for providing facility predictive maintenance and tool breakage predict service using intelligent robotic process automation
CN118568471B (en) Intelligent power distribution station operation fault prediction method and system
CN118350652B (en) Safety protection method and system for substation operators
CN118826009A (en) Digital twinning-based power distribution network fault monitoring system and method
Ma et al. A Multi-Dimensional Dynamic Monitoring and Early Warning Algorithm for Power Grid Project Reserves Based on Spatio-Temporal Data Mining
CN118521082A (en) Distribution network planning system based on distribution network frame

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
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20231027

WD01 Invention patent application deemed withdrawn after publication