CN118137682A - Active detection system and method for hardware faults of power distribution automation master station - Google Patents
Active detection system and method for hardware faults of power distribution automation master station Download PDFInfo
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Abstract
The invention discloses a hardware fault active detection system and method for a power distribution automation master station, and belongs to the technical field of power systems; in order to solve the problem that potential faults are difficult to find and process in real time, the distribution line sensing module and the operation data alarming module can timely find out the abnormality and faults of the distribution network and timely inform related personnel through a short message function, so that the time for finding and processing the faults is shortened, the power failure time is reduced, the stability of a power system is improved, the fault information issuing module performs topology screening on the lines through a distribution network main station, the fault signals of the distribution terminal are combined, the fault range can be accurately ground and judged, maintenance personnel is helped to rapidly locate and repair the faults, the whole system timely sends monitoring results, alarming information, fault grinding and judging information and the like to related personnel through the short message function, the information transmission efficiency and communication efficiency are improved, and the related personnel can timely acquire required information to make correct decisions.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to an active detection system and method for hardware faults of a power distribution automation main station.
Background
With the continuous progress of technology and the rapid development of power systems, the safety and stability of a power distribution automation system have become key factors for guaranteeing the reliable operation of the whole power grid. The distribution automation system is responsible for monitoring, controlling and protecting the equipment in the distribution network, ensuring the continuity and quality of the power supply. However, conventional power distribution system monitoring methods have been struggled in the face of increasingly complex grid structures and higher power requirements.
Traditional power distribution system monitoring relies primarily on manual inspection and periodic maintenance. The method not only requires a great deal of manpower resource investment, but also has long inspection period, and is difficult to discover and process potential faults in real time. In addition, manual inspection may be affected by human factors such as fatigue, negligence, etc., resulting in inaccurate or missing monitoring results. Meanwhile, with the continuous expansion of the power distribution network scale and the increasing of equipment, the efficiency and effect of the traditional monitoring method are difficult to meet the requirements of a modern power system.
Disclosure of Invention
The invention aims to provide a system and a method for actively detecting hardware faults of a power distribution automation master station, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides a distribution automation main website hardware trouble initiative detecting system, includes:
the hardware fault monitoring module is used for:
Monitoring power quality, analyzing voltage fluctuation, current harmonic waves and power quality, finding abnormal conditions by collecting and analyzing data in a power distribution automation system, judging whether the system has faults, simultaneously monitoring state information of power distribution equipment in real time by utilizing an intelligent sensor, comparing the state information with a preset fault model, and judging whether the power distribution equipment has faults;
the distribution line perception module is used for:
the method comprises the steps of realizing the advanced sensing of a distribution line by combining signals of a distribution network terminal on the distribution line, and sending a sensing result to a line responsible person through a short message function;
the operation data alarming module is used for:
setting an out-of-limit alarm value, comparing the running value of the power distribution network with the limit value in real time, and sending alarm information to a responsible person through a short message function when the running value of the power distribution network exceeds the limit value for a long time;
The fault information issuing module is used for:
the distribution network main station performs topology screening on the lines, comprehensively researches and judges the fault range by combining fault signals of the distribution terminal, and issues fault research and judgment information to each county company through a short message function;
the running state early warning module is used for:
And reading the running state of the hardware equipment through the master station platform proxy unit, setting alarm conditions, and sending early warning information to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
Further, the hardware fault monitoring module includes:
A power quality monitoring unit for:
Monitoring voltage and current waveforms of a power grid, analyzing voltage fluctuation and current harmonic waves, and providing real-time data of electric energy quality;
the data acquisition and analysis unit is used for:
collecting real-time data from a power distribution automation system, analyzing the data to detect abnormal conditions, and providing fault early warning and diagnosis information;
The intelligent sensing monitoring unit is used for:
And monitoring state information of the power distribution equipment in real time, wherein the state information comprises temperature, vibration and pressure, and comparing sensor data with a preset fault model to provide equipment fault early warning and diagnosis information.
Further, the power quality monitoring unit comprises a high-precision analog front end for signal conditioning, a digital signal processor for waveform analysis and processing, and a memory for storing raw data and analysis results;
The intelligent sensing monitoring unit comprises an intelligent sensor for detecting temperature, vibration and pressure, a microcontroller for reading and processing sensor data and a wireless communication of a zigbee protocol for transmitting sensor data.
Further, the distribution line perception module includes:
A signal collection unit for:
collecting signals of each distribution network terminal on a distribution line, including voltage, current and temperature parameters, and connecting the signals with the distribution network terminal in a wired or wireless mode to acquire data in real time;
A signal combining processing unit for:
the data transmitted by the signal collecting unit is received, the data are combined, the state of the distribution line is judged through algorithm analysis, and the potential faults or anomalies are identified;
a short message notification unit, configured to:
when the signal merging processing unit identifies abnormality, a short message sending function is triggered, a sensing result is sent to mobile equipment of a line responsible person in a short message mode, and the short message content comprises abnormality types and positions.
Further, the operation data alarming module includes:
an alarm threshold setting unit configured to:
Allowing a user or an administrator to set alarm thresholds of various operation parameters, providing an interface for the user to input the alarm thresholds, providing default alarm thresholds and automatically recommending the alarm thresholds according to historical data;
a real-time comparison and judgment unit for:
comparing the real-time data provided by the data acquisition and analysis unit with the alarm threshold set by the alarm threshold setting unit, judging whether the current real-time data exceeds the set alarm threshold, and recording the duration time exceeding the alarm threshold;
an alarm trigger sending unit, configured to:
When the real-time comparison and judgment unit detects that a certain parameter exceeds an alarm threshold value and the duration reaches the preset alarm triggering time, an alarm is triggered, and alarm information is sent to a preset responsible mobile phone number through a short message sending function interacted with the distribution line sensing module.
Further, the fault information issuing module includes:
Topology discrimination unit for:
the method comprises the steps of receiving line topology data provided by a distribution network main station, processing the topology data, traversing and analyzing the topology data by using depth-first search, constructing a line connection diagram, identifying key nodes and paths among lines, and obtaining line topology information;
a fault signal processing unit for:
receiving fault signals from a power distribution terminal, denoising and filtering the received fault signals, and extracting key features in the signals, wherein the key features comprise fault types, fault occurrence time and fault occurrence areas;
a fault judging unit for:
And combining the line topology information provided by the topology discrimination unit and the key characteristics provided by the fault signal processing unit, performing comprehensive research and judgment, determining the specific influence range, possible reasons and possible propagation paths of the fault, formatting the fault research and judgment result into short message content, and transmitting the short message to receivers appointed by companies in counties through the interaction of the short message transmission function with the distribution line perception module.
Further, the operation state early warning module includes:
The master station platform agent unit is used for:
Receiving and transmitting data requests and responses from other modules, and communicating with a distribution network main station platform;
An operation state reading unit configured to:
reading real-time running state information of hardware equipment through a master station platform agent unit, wherein the real-time running state information comprises voltage, current, temperature and humidity key parameters;
An early warning condition setting unit for:
According to the normal operation range of the hardware equipment and a preset safety threshold value, setting an alarm condition, triggering an early warning mechanism when the read operation state information exceeds the set safety threshold value, formatting an early warning result into short message content, and sending the short message to a preset mobile phone number of an equipment manager through a short message sending function interacted with a distribution line sensing module.
Further, the signal merging processing unit receives the data transmitted by the signal collecting unit and performs merging processing, and judges the state of the distribution line through algorithm analysis, and identifies the potential faults or anomalies, and specifically comprises the following steps:
Acquiring index variable values of each distribution network terminal according to the data transmitted by the signal collecting unit;
Summarizing and combining index variable values of all distribution network terminals to obtain processing data;
acquiring a configuration file of each distribution network terminal;
Index variables of each distribution network terminal in a normal running state and configuration files of the distribution network terminal are imported into a neighborhood preserving embedding algorithm for modeling, and a neighborhood preserving embedding model of the distribution network terminal is obtained;
Importing the processing data into the neighborhood preserving embedding model to judge whether the distribution line has faults or not;
if yes, determining a limit variable according to the voltage parameter and the current parameter of the distribution network terminal, and determining an operation disturbance factor based on the limit variable;
Judging whether an operation disturbance factor is positioned in a zone according to the polarities of the zero-mode voltage initial traveling wave and the zero-mode current initial traveling wave, and acquiring a judging result;
If the operation disturbance factor is located in the zone, acquiring relevant characteristic parameters reflecting potential faults of the distribution network terminal and calculating statistical index values of the characteristic parameters based on the relevant characteristic parameters;
Comparing the characteristic parameter statistical index value with a predetermined threshold interval of the characteristic parameter statistical index value, and judging whether a potential fault risk exists in the distribution network terminal;
And determining the potential fault risk type of the distribution network terminal according to the judging result.
Further, the alarm threshold setting unit automatically recommends an alarm threshold according to the historical data, and the alarm threshold setting unit comprises:
determining index fluctuation conditions in each fixed period according to the historical data;
Determining the fluctuation index of each index according to the index fluctuation condition in each fixed period;
determining abnormal data of each index in each fixed period and equipment fault conditions based on the historical data;
Determining a fault induction factor of each index according to abnormal data of the index in each fixed period and equipment fault conditions;
Calculating an early warning recommended alarm threshold value of each index according to the fault induction factor of the index, the fluctuation index of the index and the maximum reference value of the index under the induced fault and the standard value of the index under the normal working state:
；
Wherein, Early warning recommendation alarm threshold value expressed as ith index,/>Expressed as a standard value of the ith index in a normal working state,/>Expressed as the maximum reference value of the ith index under the induced fault, ln is expressed as natural logarithm,/>Normal stable frequency expressed as index i,/>Fluctuation index expressed as i-th index,/>Fault induction factor expressed as index i,/>Represented as a work environment intervention factor.
The invention further provides an implementation method of the hardware fault active detection system of the power distribution automation master station, which comprises the following steps:
Step one: the hardware fault monitoring module monitors and analyzes the power quality to find out the problems of voltage fluctuation, current harmonic waves and power quality, judges whether the system has faults, simultaneously collects and analyzes various data in the power distribution automation system, finds out abnormal conditions in the system, monitors power distribution equipment by utilizing an intelligent sensor, acquires the state information of the power distribution equipment in real time, and judges whether the power distribution equipment has faults by comparing the state information with a preset fault model;
Step two: the distribution line sensing module is used for monitoring the running state of the distribution line in real time through the combination of the distribution network terminal signals on the distribution line, finding abnormal conditions and sending related information to a line responsible person through a short message function;
Step three: the operation data alarming module sets an out-of-limit alarming value for the operation of the power distribution network, compares the operation value of the power distribution network with the limit value in real time, and sends the value to a responsible person through a short message function when the operation value exceeds the limit value for a long time;
Step four: the fault information issuing module performs topology screening on the lines through the distribution network main station, comprehensively researches and judges a fault range by combining fault signals of the distribution terminal, and issues the fault range to each county company through a short message function;
Step five: the running state early warning module reads the running state of the hardware equipment through the master station platform agent unit, sets alarm conditions, and sends the alarm conditions to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
Compared with the prior art, the invention has the beneficial effects that:
1. By means of real-time monitoring and quick notification, the distribution line perception module can help line operators to timely find and process potential faults or anomalies, is beneficial to improving fault processing efficiency, reduces the influence of faults on the operation of the power system, and improves the stability and reliability of the power system. Through automatic monitoring and notification mechanism, distribution lines perception module can reduce frequency and the human cost of manual inspection, simultaneously, accurate timely fault identification and handling also can avoid equipment damage and the economic loss that the power failure brought, further reduces the fortune dimension cost.
2. The alarm threshold setting unit of the invention enables a user to input an alarm threshold by providing an interface, provides a default alarm threshold and automatically recommends the alarm threshold according to historical data, ensures that the setting of the alarm threshold is flexible and scientific, can truly reflect the actual running condition of a power distribution network, and the real-time comparison judging unit can accurately identify potential abnormal or fault conditions by judging whether the current data exceeds the set alarm threshold and recording the duration exceeding the alarm threshold.
3. The topology discrimination unit of the invention constructs an accurate line connection diagram by receiving line topology data provided by the distribution network main station and using a depth-first search algorithm to carry out traversal and analysis, thereby being beneficial to better understanding the topology structure of the distribution network by a system, identifying key nodes and paths, rapidly positioning fault points when faults occur, reducing the investigation time, improving the quality of signals by the fault signal processing unit, ensuring that key information such as fault type, occurrence time and occurrence area is more accurate and reliable, and comprehensively studying and judging by combining the line topology information provided by the topology discrimination unit and the fault information extracted by the fault signal processing unit, so that the influence range, possible reasons and propagation paths of the faults can be more comprehensively known, and the accuracy and efficiency of fault studying and judging are improved.
4. According to the invention, through an automatic running state monitoring and early warning mechanism, the running state early warning module can reduce the load of manual monitoring and the frequency and the labor cost of manual inspection. Meanwhile, the automatic early warning mechanism can also reduce the possibility of human errors and omission, and improve the accuracy and reliability of monitoring. Through real-time state monitoring and automatic early warning mechanisms, the running state early warning module can help operation and maintenance personnel to timely find and process abnormality or fault of hardware equipment, and operation and maintenance efficiency of the system is optimized. The capacity is beneficial to improving the overall performance and stability of the power distribution system, and provides powerful guarantee for the reliable operation of the power system.
Drawings
FIG. 1 is a schematic diagram of a system module of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the technical problems that the traditional power distribution system monitoring method is often dependent on manual inspection and periodical maintenance, the method is low in efficiency and difficult to discover and process potential faults in real time, referring to fig. 1-2, the invention provides the following technical scheme:
the utility model provides a distribution automation main website hardware trouble initiative detecting system, includes:
the hardware fault monitoring module is used for:
Monitoring power quality, analyzing voltage fluctuation, current harmonic waves and power quality, finding abnormal conditions by collecting and analyzing data in a power distribution automation system, judging whether the system has faults, simultaneously monitoring state information of power distribution equipment in real time by utilizing an intelligent sensor, comparing the state information with a preset fault model, and judging whether the power distribution equipment has faults;
the distribution line perception module is used for:
the method comprises the steps of realizing the advanced sensing of a distribution line by combining signals of a distribution network terminal on the distribution line, and sending a sensing result to a line responsible person through a short message function;
the operation data alarming module is used for:
setting an out-of-limit alarm value, comparing the running value of the power distribution network with the limit value in real time, and sending alarm information to a responsible person through a short message function when the running value of the power distribution network exceeds the limit value for a long time;
The fault information issuing module is used for:
the distribution network main station performs topology screening on the lines, comprehensively researches and judges the fault range by combining fault signals of the distribution terminal, and issues fault research and judgment information to each county company through a short message function;
the running state early warning module is used for:
And reading the running state of the hardware equipment through the master station platform proxy unit, setting alarm conditions, and sending early warning information to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
Specifically, through hardware fault monitoring module and running state early warning module, the state of distribution equipment can be monitored in real time to the system, distribution line perception module and operation data alarm module can in time discover the unusual and trouble of distribution network, and in time inform relevant personnel through the SMS function, thereby shorten trouble discovery and processing time, reduce the outage time, improve electric power system's stability, the trouble information issuing module carries out topology screening to the circuit through the distribution network master station, the fault signal of combining distribution terminal, can accurately research and judge the fault scope, help maintainer quick positioning and repair the trouble, the whole system in time sends monitoring result through the SMS function, alarm information, trouble research judgement information etc. to relevant personnel, the transmission efficiency and the communication efficiency of information have been improved, make relevant personnel can in time obtain required information, make the exact decision. The hardware fault monitoring module comprises:
A power quality monitoring unit for:
Monitoring voltage and current waveforms of a power grid, analyzing voltage fluctuation and current harmonic waves, and providing real-time data of electric energy quality;
The key components required by the power quality monitoring unit in realizing the functions comprise a high-precision analog front end for signal conditioning, a digital signal processor for waveform analysis and processing and a memory for storing raw data and analysis results;
the data acquisition and analysis unit is used for:
collecting real-time data from a power distribution automation system, analyzing the data to detect abnormal conditions, and providing fault early warning and diagnosis information;
The intelligent sensing monitoring unit is used for:
And monitoring state information of the power distribution equipment in real time, wherein the state information comprises temperature, vibration and pressure, and comparing sensor data with a preset fault model to provide equipment fault early warning and diagnosis information.
The key components required by the intelligent sensing monitoring unit when the functions are realized comprise an intelligent sensor for detecting temperature, vibration and pressure, a microcontroller for reading and processing sensor data and a wireless communication of a zigbee protocol for transmitting sensor data.
Specifically, the power quality monitoring unit can accurately capture voltage and current waveforms of a power grid through a high-precision analog front end and a digital signal processor, deeply analyze power quality problems such as voltage fluctuation, current harmonic waves and the like, timely find abnormal changes of power quality, provide powerful guarantee for stable operation of a power system, efficiently collect real-time data from a power distribution automation system through a built-in analysis algorithm, enable the system to quickly respond, provide accurate fault early warning and diagnosis information, and enable the intelligent sensing monitoring unit to monitor state information of power distribution equipment in real time through integrating various sensors such as temperature, vibration and pressure, compare the state information with a preset fault model, timely find early signs of equipment faults, provide early warning and diagnosis information for equipment management personnel, and further avoid production interruption caused by equipment sudden faults.
The distribution line perception module comprises:
A signal collection unit for:
collecting signals of each distribution network terminal on a distribution line, including voltage, current and temperature parameters, and connecting the signals with the distribution network terminal in a wired or wireless mode to acquire data in real time;
A signal combining processing unit for:
the data transmitted by the signal collecting unit is received, the data are combined, the state of the distribution line is judged through algorithm analysis, and the potential faults or anomalies are identified;
a short message notification unit, configured to:
when the signal merging processing unit identifies abnormality, a short message sending function is triggered, a sensing result is sent to mobile equipment of a line responsible person in a short message mode, and the short message content comprises abnormality types and positions.
Specifically, the signal collection unit collects signals of all distribution network terminals on the distribution line in real time, so that the system can timely master the running state of the distribution line, basic data are provided for subsequent fault research, judgment and early warning, the signal merging processing unit can comprehensively consider the data of a plurality of distribution network terminals, the accuracy of fault identification is improved, the possibility of misjudgment and missed judgment is reduced, and when the signal merging processing unit identifies abnormality, the short message notification unit can rapidly trigger a short message sending function to send a sensing result to mobile equipment of a line responsible person in a short message mode. The quick notification mechanism can ensure that a line responsible person can acquire abnormal information in time and rapidly take countermeasures, shortens the fault processing time and reduces the power failure loss.
Through real-time monitoring and quick notification, the distribution line perception module can help line charge men to timely find and process potential faults or anomalies, thereby being beneficial to improving fault processing efficiency, reducing the influence of faults on the operation of the power system and improving the stability and reliability of the power system. Through automatic monitoring and notification mechanism, distribution lines perception module can reduce frequency and the human cost of manual inspection, simultaneously, accurate timely fault identification and handling also can avoid equipment damage and the economic loss that the power failure brought, further reduces the fortune dimension cost.
The operation data alarming module comprises:
an alarm threshold setting unit configured to:
Allowing a user or an administrator to set alarm thresholds of various operation parameters, providing an interface for the user to input the alarm thresholds, providing default alarm thresholds and automatically recommending the alarm thresholds according to historical data;
a real-time comparison and judgment unit for:
Comparing the real-time data provided by the data acquisition and analysis unit with the alarm threshold set by the alarm threshold setting unit, judging whether the current real-time data exceeds the set alarm threshold, and recording the duration time exceeding the alarm threshold;
an alarm trigger sending unit, configured to:
When the real-time comparison and judgment unit detects that a certain parameter exceeds an alarm threshold value and the duration reaches the preset alarm triggering time, an alarm is triggered, and alarm information is sent to a preset responsible mobile phone number through a short message sending function interacted with the distribution line sensing module.
Specifically, the alarm threshold setting unit enables a user to input an alarm threshold by providing an interface, provides a default alarm threshold and automatically recommends the alarm threshold according to historical data, ensures that the setting of the alarm threshold is flexible and scientific, can truly reflect the actual running condition of the power distribution network, and the real-time comparison judging unit can accurately identify potential abnormal or fault conditions by judging whether the current real-time data exceeds the set alarm threshold and recording the duration exceeding the alarm threshold.
By automatically monitoring, comparing, judging and triggering the alarm in real time, the operation data alarm module can remarkably improve the monitoring efficiency of the operation data of the power distribution network. The automatic monitoring mode can reduce the workload of manual monitoring, reduce the possibility of human errors and improve the accuracy and reliability of monitoring.
The fault information issuing module comprises:
Topology discrimination unit for:
the method comprises the steps of receiving line topology data provided by a distribution network main station, processing the topology data, traversing and analyzing the topology data by using depth-first search, constructing a line connection diagram, identifying key nodes and paths among lines, and obtaining line topology information;
a fault signal processing unit for:
receiving fault signals from a power distribution terminal, denoising and filtering the received fault signals, and extracting key features in the signals, wherein the key features comprise fault types, fault occurrence time and fault occurrence areas;
a fault judging unit for:
And combining the line topology information provided by the topology discrimination unit and the key characteristics provided by the fault signal processing unit, performing comprehensive research and judgment, determining the specific influence range, possible reasons and possible propagation paths of the fault, formatting the fault research and judgment result into short message content, and transmitting the short message to receivers appointed by companies in counties through the interaction of the short message transmission function with the distribution line perception module.
Specifically, the topology screening unit receives the line topology data provided by the distribution network main station, and performs traversal and analysis by using a depth-first search algorithm, so that an accurate line connection diagram is constructed, the system is facilitated to better understand the topology structure of the distribution network, key nodes and paths are identified, fault points are rapidly positioned when faults occur, the troubleshooting time is shortened, the fault signal processing unit is facilitated to improve the quality of signals, key information such as fault types, occurrence time and occurrence areas is more accurate and reliable, the fault research and judgment unit performs comprehensive research and judgment by combining the line topology information provided by the topology screening unit and the fault information extracted by the fault signal processing unit, and the influence range, possible reasons and propagation paths of the faults can be more comprehensively known, so that the accuracy and efficiency of fault research and judgment are improved.
The mechanism of quick response and timely notification of the fault judging unit can ensure that related personnel can quickly acquire fault information, and effective countermeasures are taken, so that the influence of faults on the operation of the power system is reduced, and the application of the fault information issuing module enables the hardware fault active detection system of the power distribution automation master station to have stronger intelligent capability. Through automatic topology analysis, fault signal processing and comprehensive research and judgment, the system can more intelligently identify and process faults, reduce the need of manual intervention and improve the automation level of the system.
The running state early warning module comprises:
The master station platform agent unit is used for:
Receiving and transmitting data requests and responses from other modules, and communicating with a distribution network main station platform;
An operation state reading unit configured to:
reading real-time running state information of hardware equipment through a master station platform agent unit, wherein the real-time running state information comprises voltage, current, temperature and humidity key parameters;
An early warning condition setting unit for:
According to the normal operation range of the hardware equipment and a preset safety threshold value, setting an alarm condition, triggering an early warning mechanism when the read operation state information exceeds the set safety threshold value, formatting an early warning result into short message content, and sending the short message to a preset mobile phone number of an equipment manager through a short message sending function interacted with a distribution line sensing module.
Specifically, the operation state reading unit can read key parameters such as voltage, current, temperature, humidity and the like from the hardware equipment in real time, timely find out abnormality or fault of the hardware equipment, provide data support for subsequent early warning and fault processing, the early warning condition setting unit allows setting of alarm conditions according to the normal operation range of the hardware equipment and a preset safety threshold, can adapt to requirements of different equipment and different scenes, improves early warning accuracy and effectiveness, and when the real-time operation state information read by the operation state reading unit exceeds the preset safety threshold, the early warning mechanism can automatically trigger and format an early warning result into short message content, timely inform preset equipment management personnel through a short message sending function, ensure that the equipment management personnel can quickly acquire the early warning information, take corresponding measures and prevent occurrence or expansion of faults.
Through automatic running state monitoring and early warning mechanism, running state early warning module can alleviate manual monitoring's burden, reduces frequency and the human cost that the manual work patrolled and examined. Meanwhile, the automatic early warning mechanism can also reduce the possibility of human errors and omission, and improve the accuracy and reliability of monitoring. Through real-time state monitoring and automatic early warning mechanisms, the running state early warning module can help operation and maintenance personnel to timely find and process abnormality or fault of hardware equipment, and operation and maintenance efficiency of the system is optimized. The capacity is beneficial to improving the overall performance and stability of the power distribution system, and provides powerful guarantee for the reliable operation of the power system.
In one embodiment, the signal combination processing unit receives the data transmitted from the signal collection unit and performs combination processing, and determines the state of the distribution line through algorithm analysis, and identifies a potential fault or abnormality, and specifically includes the following steps:
Acquiring index variable values of each distribution network terminal according to the data transmitted by the signal collecting unit;
Summarizing and combining index variable values of all distribution network terminals to obtain processing data;
acquiring a configuration file of each distribution network terminal;
Index variables of each distribution network terminal in a normal running state and configuration files of the distribution network terminal are imported into a neighborhood preserving embedding algorithm for modeling, and a neighborhood preserving embedding model of the distribution network terminal is obtained;
Importing processing data into the neighborhood preserving embedding model to judge whether the distribution line has faults or not;
if yes, determining a limit variable according to the voltage parameter and the current parameter of the distribution network terminal, and determining an operation disturbance factor based on the limit variable;
Judging whether an operation disturbance factor is positioned in a zone according to the polarities of the zero-mode voltage initial traveling wave and the zero-mode current initial traveling wave, and acquiring a judging result;
If the operation disturbance factor is located in the zone, acquiring relevant characteristic parameters reflecting potential faults of the distribution network terminal and calculating statistical index values of the characteristic parameters based on the relevant characteristic parameters;
Comparing the characteristic parameter statistical index value with a predetermined threshold interval of the characteristic parameter statistical index value, and judging whether a potential fault risk exists in the distribution network terminal;
And determining the potential fault risk type of the distribution network terminal according to the judging result.
The beneficial effects of the technical scheme are as follows: the potential fault type of the distribution network terminal can be rapidly and accurately estimated according to the acquisition parameters of the distribution network terminal and the characteristic parameters of the potential faults, and the estimation precision and efficiency are ensured.
In one embodiment, the alarm threshold setting unit automatically recommends an alarm threshold according to the history data, including:
determining index fluctuation conditions in each fixed period according to the historical data;
Determining the fluctuation index of each index according to the index fluctuation condition in each fixed period;
determining abnormal data of each index in each fixed period and equipment fault conditions based on the historical data;
Determining a fault induction factor of each index according to abnormal data of the index in each fixed period and equipment fault conditions;
Calculating an early warning recommended alarm threshold value of each index according to the fault induction factor of the index, the fluctuation index of the index and the maximum reference value of the index under the induced fault and the standard value of the index under the normal working state:
；
Wherein, Early warning recommendation alarm threshold value expressed as ith index,/>Expressed as a standard value of the ith index in a normal working state,/>Expressed as the maximum reference value of the ith index under the induced fault, ln is expressed as natural logarithm,/>Normal stable frequency expressed as index i,/>Fluctuation index expressed as i-th index,/>Fault induction factor expressed as index i,/>Represented as a work environment intervention factor.
The beneficial effects of the technical scheme are as follows: the early warning recommendation and alarm threshold value of each index is calculated by combining the fluctuation condition and the fault induction parameter of the index, and an accurate early warning reference threshold value can be objectively and accurately set for each index by combining the history actual fault condition, so that the stability and reliability of index monitoring are ensured, and the safety and the practicability are improved.
The embodiment now provides a method for actively detecting hardware faults of a power distribution automation master station, which comprises the following steps:
Step one: the hardware fault monitoring module monitors and analyzes the power quality to find out the problems of voltage fluctuation, current harmonic waves and power quality, judges whether the system has faults, simultaneously collects and analyzes various data in the power distribution automation system, finds out abnormal conditions in the system, monitors power distribution equipment by utilizing an intelligent sensor, acquires the state information of the power distribution equipment in real time, and judges whether the power distribution equipment has faults by comparing the state information with a preset fault model;
Step two: the distribution line sensing module is used for monitoring the running state of the distribution line in real time through the combination of the distribution network terminal signals on the distribution line, finding abnormal conditions and sending related information to a line responsible person through a short message function;
Step three: the operation data alarming module sets an out-of-limit alarming value for the operation of the power distribution network, compares the operation value of the power distribution network with the limit value in real time, and sends the value to a responsible person through a short message function when the operation value exceeds the limit value for a long time;
Step four: the fault information issuing module performs topology screening on the lines through the distribution network main station, comprehensively researches and judges a fault range by combining fault signals of the distribution terminal, and issues the fault range to each county company through a short message function;
Step five: the running state early warning module reads the running state of the hardware equipment through the master station platform agent unit, sets alarm conditions, and sends the alarm conditions to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
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 be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.
Claims (10)
1. Power distribution automation main website hardware trouble initiative detecting system, its characterized in that includes:
the hardware fault monitoring module is used for:
Monitoring power quality, analyzing voltage fluctuation, current harmonic waves and power quality, finding abnormal conditions by collecting and analyzing data in a power distribution automation system, judging whether the system has faults, simultaneously monitoring state information of power distribution equipment in real time by utilizing an intelligent sensor, comparing the state information with a preset fault model, and judging whether the power distribution equipment has faults;
the distribution line perception module is used for:
the method comprises the steps of realizing the advanced sensing of a distribution line by combining signals of a distribution network terminal on the distribution line, and sending a sensing result to a line responsible person through a short message function;
the operation data alarming module is used for:
setting an out-of-limit alarm value, comparing the running value of the power distribution network with the limit value in real time, and sending alarm information to a responsible person through a short message function when the running value of the power distribution network exceeds the limit value for a long time;
The fault information issuing module is used for:
the distribution network main station performs topology screening on the lines, comprehensively researches and judges the fault range by combining fault signals of the distribution terminal, and issues fault research and judgment information to each county company through a short message function;
the running state early warning module is used for:
And reading the running state of the hardware equipment through the master station platform proxy unit, setting alarm conditions, and sending early warning information to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
2. The power distribution automation primary station hardware failure active detection system of claim 1, wherein: the hardware fault monitoring module includes:
A power quality monitoring unit for:
Monitoring voltage and current waveforms of a power grid, analyzing voltage fluctuation and current harmonic waves, and providing real-time data of electric energy quality;
the data acquisition and analysis unit is used for:
collecting real-time data from a power distribution automation system, analyzing the data to detect abnormal conditions, and providing fault early warning and diagnosis information;
The intelligent sensing monitoring unit is used for:
And monitoring state information of the power distribution equipment in real time, wherein the state information comprises temperature, vibration and pressure, and comparing sensor data with a preset fault model to provide equipment fault early warning and diagnosis information.
3. The power distribution automation primary station hardware failure active detection system of claim 2, wherein: the power quality monitoring unit comprises a high-precision analog front end for signal conditioning, a digital signal processor for waveform analysis and processing and a memory for storing raw data and analysis results;
The intelligent sensing monitoring unit comprises an intelligent sensor for detecting temperature, vibration and pressure, a microcontroller for reading and processing sensor data and a wireless communication of a zigbee protocol for transmitting sensor data.
4. The power distribution automation primary station hardware failure active detection system of claim 1, wherein: the distribution line perception module comprises:
A signal collection unit for:
collecting signals of each distribution network terminal on a distribution line, including voltage, current and temperature parameters, and connecting the signals with the distribution network terminal in a wired or wireless mode to acquire data in real time;
A signal combining processing unit for:
the data transmitted by the signal collecting unit is received, the data are combined, the state of the distribution line is judged through algorithm analysis, and the potential faults or anomalies are identified;
a short message notification unit, configured to:
when the signal merging processing unit identifies abnormality, a short message sending function is triggered, a sensing result is sent to mobile equipment of a line responsible person in a short message mode, and the short message content comprises abnormality types and positions.
5. The power distribution automation primary station hardware failure active detection system of claim 2, wherein: the operation data alarming module comprises:
an alarm threshold setting unit configured to:
Allowing a user or an administrator to set alarm thresholds of various operation parameters, providing an interface for the user to input the alarm thresholds, providing default alarm thresholds and automatically recommending the alarm thresholds according to historical data;
a real-time comparison and judgment unit for:
comparing the real-time data provided by the data acquisition and analysis unit with the alarm threshold set by the alarm threshold setting unit, judging whether the current real-time data exceeds the set alarm threshold, and recording the duration time exceeding the alarm threshold;
an alarm trigger sending unit, configured to:
When the real-time comparison and judgment unit detects that a certain parameter exceeds an alarm threshold value and the duration reaches the preset alarm triggering time, an alarm is triggered, and alarm information is sent to a preset responsible mobile phone number through a short message sending function interacted with the distribution line sensing module.
6. The power distribution automation primary station hardware failure active detection system of claim 1, wherein: the fault information issuing module comprises:
Topology discrimination unit for:
the method comprises the steps of receiving line topology data provided by a distribution network main station, processing the topology data, traversing and analyzing the topology data by using depth-first search, constructing a line connection diagram, identifying key nodes and paths among lines, and obtaining line topology information;
a fault signal processing unit for:
receiving fault signals from a power distribution terminal, denoising and filtering the received fault signals, and extracting key features in the signals, wherein the key features comprise fault types, fault occurrence time and fault occurrence areas;
a fault judging unit for:
And combining the line topology information provided by the topology discrimination unit and the key characteristics provided by the fault signal processing unit, performing comprehensive research and judgment, determining the specific influence range, possible reasons and possible propagation paths of the fault, formatting the fault research and judgment result into short message content, and transmitting the short message to receivers appointed by companies in counties through the interaction of the short message transmission function with the distribution line perception module.
7. The power distribution automation primary station hardware failure active detection system of claim 1, wherein: the running state early warning module comprises:
The master station platform agent unit is used for:
Receiving and transmitting data requests and responses from other modules, and communicating with a distribution network main station platform;
An operation state reading unit configured to:
reading real-time running state information of hardware equipment through a master station platform agent unit, wherein the real-time running state information comprises voltage, current, temperature and humidity key parameters;
An early warning condition setting unit for:
According to the normal operation range of the hardware equipment and a preset safety threshold value, setting an alarm condition, triggering an early warning mechanism when the read operation state information exceeds the set safety threshold value, formatting an early warning result into short message content, and sending the short message to a preset mobile phone number of an equipment manager through a short message sending function interacted with a distribution line sensing module.
8. The system for actively detecting hardware faults of a power distribution automation master station according to claim 4, wherein the signal combination processing unit receives the data transmitted by the signal collection unit and performs combination processing, and judges the state of a power distribution line through algorithm analysis, and identifies potential faults or anomalies, and specifically comprises the following steps:
Acquiring index variable values of each distribution network terminal according to the data transmitted by the signal collecting unit;
Summarizing and combining index variable values of all distribution network terminals to obtain processing data;
acquiring a configuration file of each distribution network terminal;
Index variables of each distribution network terminal in a normal running state and configuration files of the distribution network terminal are imported into a neighborhood preserving embedding algorithm for modeling, and a neighborhood preserving embedding model of the distribution network terminal is obtained;
Importing the processing data into the neighborhood preserving embedding model to judge whether the distribution line has faults or not;
if yes, determining a limit variable according to the voltage parameter and the current parameter of the distribution network terminal, and determining an operation disturbance factor based on the limit variable;
Judging whether an operation disturbance factor is positioned in a zone according to the polarities of the zero-mode voltage initial traveling wave and the zero-mode current initial traveling wave, and acquiring a judging result;
If the operation disturbance factor is located in the zone, acquiring relevant characteristic parameters reflecting potential faults of the distribution network terminal and calculating statistical index values of the characteristic parameters based on the relevant characteristic parameters;
Comparing the characteristic parameter statistical index value with a predetermined threshold interval of the characteristic parameter statistical index value, and judging whether a potential fault risk exists in the distribution network terminal;
And determining the potential fault risk type of the distribution network terminal according to the judging result.
9. The power distribution automation primary station hardware failure active detection system of claim 5, wherein: the alarm threshold setting unit automatically recommends an alarm threshold according to historical data, and the alarm threshold setting unit comprises:
determining index fluctuation conditions in each fixed period according to the historical data;
Determining the fluctuation index of each index according to the index fluctuation condition in each fixed period;
determining abnormal data of each index in each fixed period and equipment fault conditions based on the historical data;
Determining a fault induction factor of each index according to abnormal data of the index in each fixed period and equipment fault conditions;
Calculating a recommended alarm threshold value of each index according to the fault induction factor of the index, the fluctuation index of the index and the maximum reference value of the index under the induced fault and the standard value of the index under the normal working state:
；
Wherein, Recommended alert threshold, denoted i-th index,/>Expressed as a standard value of the ith index in a normal working state,/>Expressed as the maximum reference value of the ith index under the induced fault, ln is expressed as natural logarithm,/>Normal stable frequency expressed as index i,/>Fluctuation index expressed as i-th index,/>Fault induction factor expressed as index i,/>Represented as a work environment intervention factor.
10. A method for implementing the power distribution automation master station hardware failure active detection system according to any one of claims 1-9, characterized in that: the method comprises the following steps:
Step one: the hardware fault monitoring module monitors and analyzes the power quality to find out the problems of voltage fluctuation, current harmonic waves and power quality, judges whether the system has faults, simultaneously collects and analyzes various data in the power distribution automation system, finds out abnormal conditions in the system, monitors power distribution equipment by utilizing an intelligent sensor, acquires the state information of the power distribution equipment in real time, and judges whether the power distribution equipment has faults by comparing the state information with a preset fault model;
Step two: the distribution line sensing module is used for monitoring the running state of the distribution line in real time through the combination of the distribution network terminal signals on the distribution line, finding abnormal conditions and sending related information to a line responsible person through a short message function;
Step three: the operation data alarming module sets an out-of-limit alarming value for the operation of the power distribution network, compares the operation value of the power distribution network with the limit value in real time, and sends the value to a responsible person through a short message function when the operation value exceeds the limit value for a long time;
Step four: the fault information issuing module performs topology screening on the lines through the distribution network main station, comprehensively researches and judges a fault range by combining fault signals of the distribution terminal, and issues the fault range to each county company through a short message function;
Step five: the running state early warning module reads the running state of the hardware equipment through the master station platform agent unit, sets alarm conditions, and sends the alarm conditions to equipment management personnel through a short message function when the hardware equipment is continuously abnormal.
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