An operation status supervision system based on power monitoring

Abstract

The invention relates to the field of power supervision and management, and discloses an operation status supervision system based on power monitoring, comprising power monitoring equipment and a power monitoring data acquisition module. The power operation status analysis module receives power monitoring data and analyzes and calculates the power monitoring data to obtain an operation status score, compares the operation status score with a warning threshold interval, and judges whether the operation status of the power system is good or bad according to the comparison result. Then, a potential problem analysis module fits a time variation curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle according to the operation status score, and analyzes the time variation curve of the number of times the power system operation status score exceeds the warning threshold interval with a reference curve preset by the system to calculate a power jump coefficient; finally, the power jump coefficient is compared with the power jump coefficient threshold through a potential risk warning module, and it is judged whether the power system has an operation risk according to the comparison result.

Description

Technical Field

[0001] The present invention relates to the field of power supervision, and in particular to an operation status supervision system based on power monitoring. Background Art

[0002] Power monitoring can detect and solve potential problems in a timely manner through real-time monitoring of the power system, thereby ensuring the safe, reliable and economical operation of the power system. Through power monitoring, operation and maintenance personnel can grasp the operating status of power equipment in real time, handle abnormal situations in a timely manner, reduce power outages caused by equipment failures, and improve the operating efficiency of the power system.

[0003] However, the existing power operation status monitoring system will automatically issue an alarm message and record related events once a certain power parameter of the power system exceeds the preset value so that the operation and maintenance personnel can handle it in time. However, power parameters are affected by many factors, and there are obvious limitations in comparing a single power parameter alone, which is prone to false warnings. False alarms will lead to unnecessary power system inspections, which will waste inspection resources and have a certain impact on the normal operation of the power system. Summary of the invention

[0004] The purpose of the present invention is to provide an operation status supervision system based on power monitoring, so as to solve the technical problem that the separate comparison of a single power parameter obviously has certain limitations and is prone to false warnings. False alarms will lead to unnecessary power system inspections, which will waste inspection resources and have a certain impact on the normal operation of the power system.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An operation status supervision system based on power monitoring, comprising:

[0007] Power monitoring equipment, installed in the power system, for real-time monitoring of power parameters of the power system, including but not limited to current, voltage and temperature;

[0008] A power monitoring data acquisition module, used to receive the power parameters as power monitoring data;

[0009] The power operation status analysis module is used to receive power monitoring data and analyze and calculate the power monitoring data to obtain an operation status score, compare the operation status score with the warning threshold interval, and judge the operation status of the power system based on the comparison result;

[0010] A potential problem analysis module is used to fit a time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle according to the operation status score, analyze the time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval with a reference curve preset by the system, and calculate the power jump coefficient;

[0011] The potential risk warning module is used to compare the power fluctuation coefficient with the power fluctuation coefficient threshold. If the power fluctuation coefficient exceeds the power fluctuation coefficient threshold, it is judged that there is an operation risk in the power system and a warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system.

[0012] As a further technical solution, the process of obtaining the running status score is:

[0013] By formula Calculate the power system Running status score at the moment ;in, For the Items of power monitoring data, is the total number of power monitoring data items, is the rating coefficient, For the Power monitoring data The parameter value at the time, For the The mean of the power monitoring data, is the dimensionless coefficient;

[0014] Score the running status and warning threshold interval Make comparisons;

[0015] like , then the operating status of the power system is judged to be bad; if , then further analyze the operating status of the power system; if , then it is judged that the operating status of the power system is good.

[0016] As a further technical solution, the process of further analyzing the operating status of the power system is as follows:

[0017] By formula:

[0018] Calculate the trend coefficient ; In the formula, From 1 to The coefficient of temperature variation between time points, is the total number of time points randomly selected from a working cycle, , is the preset scale factor, , , , Respectively The voltage value, current value, frequency value, and voltage polarity value detected at each time point;

[0019] The current operating status of the power system can be further judged based on the trend coefficient.

[0020] As a further technical solution, the process of further judging the operating state of the current power system according to the coefficient of variation is as follows:

[0021] The calculated coefficient of variation and system trend threshold Compare:

[0022] like , it means that the current power system operation status is deteriorating, and it is judged that the current power system operation status is poor; if , it means that the current power system operation status is in an optimization trend, and it is judged that the current power system operation status is good.

[0023] As a further technical solution, the temperature variation coefficient

[0024] ; In the formula is the starting time point, For the end time point, is the temperature variation data of the power system over time, It is the reference variation data of power system temperature over time.

[0025] As a further technical solution, the power jump coefficient By the following formula:

[0026] Calculated; among them, A working cycle is divided into time gradient, for The influence coefficient of the time gradient is The curve showing the number of times the power system operation status score exceeds the warning threshold range over time. It is the reference curve preset by the system. It is a reference value based on historical data.

[0027] As a further technical solution, the working process of the potential risk warning module is as follows:

[0028] The calculated power fluctuation coefficient Power jump coefficient threshold Compare:

[0029] like , it is judged that there is an operation risk in the power system and an early warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system.

[0030] As a further technical solution, the process of prioritizing the warning signals is as follows;

[0031] like ,and , then generate a high-level warning signal; if ,and , then an intermediate warning signal is generated; if ,and , a low-level warning signal is generated; if ,and , a normal warning signal is generated; the priority order is high > medium > low > normal.

[0032] Beneficial effects of the present invention:

[0033] (1) The power operation status analysis module monitors the power monitoring data of the power system in real time, so that the current power system can be scored based on the status of each power monitoring data. Obviously, if the score is lower, it means that the deviation between the real-time power monitoring data and the mean of the power monitoring data in the power system is smaller, that is, the system is safer. If the score is higher, it means that the deviation between the real-time power monitoring data and the mean of the power monitoring data in the power system is larger, that is, the system is less safe, which indirectly indicates the operation quality of the power system. Through the above process, the operation status of the power system can be judged in time, and the accuracy of the power system operation monitoring can be improved.

[0034] (2) The potential problem analysis module also fits the time variation curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle according to the operation status score, and analyzes the time variation curve of the number of times the power system operation status score exceeds the warning threshold interval with the reference curve preset by the system to calculate the power fluctuation coefficient, and then compares the power fluctuation coefficient with the power fluctuation coefficient threshold through the potential risk warning module. If the power fluctuation coefficient exceeds the power fluctuation coefficient threshold, it is judged that there is an operation risk in the power system and an early warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system. Through the above technical solution, the accuracy of the early warning can be improved, false alarms can be prevented, and the possibility of missed alarms can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Figure 1 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] See also Figure 1 As shown, the present invention is an operation status supervision system based on power monitoring, comprising:

[0039] The power monitoring device is installed in the power system and is used to monitor the power parameters of the power system in real time, including but not limited to current, voltage and temperature; the power monitoring device can be a temperature sensor, a voltage sensor, a current sensor, a frequency sensor, a voltage polarity sensor, and the specific installation method is selected according to the actual situation, which will not be repeated here;

[0040] A power monitoring data acquisition module, used to receive the power parameters as power monitoring data;

[0041] The power operation status analysis module is used to receive power monitoring data and analyze and calculate the power monitoring data to obtain an operation status score, compare the operation status score with the warning threshold interval, and judge the operation status of the power system based on the comparison result;

[0042] A potential problem analysis module is used to fit a time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle according to the operation status score, analyze the time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval with a reference curve preset by the system, and calculate the power jump coefficient;

[0043] The potential risk warning module is used to compare the power fluctuation coefficient with the power fluctuation coefficient threshold. If the power fluctuation coefficient exceeds the power fluctuation coefficient threshold, it is judged that there is an operation risk in the power system and a warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system.

[0044] In this embodiment, the power monitoring data of the power system during operation is monitored in real time through the power operation status analysis module, so that the current power system can be scored in combination with the conditions of various power monitoring data. Obviously, if the score is lower, it means that the deviation between the real-time power monitoring data and the mean of the power monitoring data in the power system is smaller, that is to say, the system is safer, and if the score is higher, it means that the deviation between the real-time power monitoring data and the mean of the power monitoring data in the power system is larger, that is to say, the system is less safe, which indirectly indicates the operation quality of the power system. Through the above process, the operation status of the power system can be judged in time, and the accuracy of the power system operation monitoring can be improved; at the same time Through the potential problem analysis module, a time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle is fitted according to the operation status score, and the time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval is analyzed with the reference curve preset by the system to calculate the power jump coefficient, and then the power jump coefficient is compared with the power jump coefficient threshold through the potential risk warning module. If the power jump coefficient exceeds the power jump coefficient threshold, it is judged that there is an operation risk in the power system and an early warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system. Through the above technical solution, the accuracy of the early warning can be improved, false alarms can be prevented, and the possibility of missed alarms can be reduced.

[0045] The process of obtaining the running status score is as follows:

[0046] By formula Calculate the power system Running status score at the moment ;in, For the Items of power monitoring data, is the total number of power monitoring data items, is the rating coefficient, For the Power monitoring data The parameter value at the time, For the The mean of the power monitoring data, is the dimensionless coefficient;

[0047] Score the running status and warning threshold interval Make comparisons;

[0048] like , then the operating status of the power system is judged to be bad; if , then further analyze the operating status of the power system; if , then it is judged that the operating status of the power system is good.

[0049] The process of further analyzing the operating status of the power system is as follows:

[0050] By formula:

[0051] Calculate the trend coefficient ; In the formula, From 1 to The coefficient of temperature variation between time points, is the total number of time points randomly selected from a working cycle, , is the preset scale factor, , , , Respectively The voltage value, current value, frequency value, and voltage polarity value detected at each time point;

[0052] The current operating status of the power system can be further judged based on the trend coefficient.

[0053] The process of further judging the operating status of the current power system based on the coefficient of variation is as follows:

[0054] The calculated coefficient of variation and system trend threshold Compare:

[0055] like , it means that the current power system operation status is deteriorating, and it is judged that the current power system operation status is poor; if , it means that the current power system operation status is in an optimization trend, and it is judged that the current power system operation status is good.

[0056] In this embodiment, a method for obtaining the running status score is provided. Specifically, the formula Calculate the power system Running status score at the moment Obviously, The larger the difference, the Power monitoring data The parameter value at the moment The more deviations there are from the mean of an item of power monitoring data, the more abnormal the parameter is. By analyzing each item of power monitoring data in a multiplication manner, even small changes can be displayed explicitly, which is conducive to discovering changes in the operating status of the power monitoring data. Then the operating status score is calculated. and warning threshold interval For comparison, if , then the operating status of the power system is judged to be bad. , then further analyze the operating status of the power system. , then it is judged that the operation status of the power system is good;

[0057] Through the above technical solution, it is obvious that if the operating status score exceeds the warning threshold interval, it indicates that the overall operating status of the power system is in a poor state, and if the operating status score is lower than the warning threshold interval This indicates that the overall operating status of the power system is in a good state. If the operating status score belongs to the warning threshold interval, it is in the normal range.

[0058] In order to further predict the normal fluctuation situation, the formula Calculate the trend coefficient According to the trend coefficient, we can further judge whether the current operating status of the power system is improving or deteriorating. If it is improving, there is no need to pay too much attention. If it is deteriorating, we need to pay special attention and conduct early inspection to prevent the problem from expanding and causing losses, and further improve the safety of the power system. , it means that the current power system operation status is deteriorating, and it is judged that the current power system operation status is poor; if , it means that the current power system operation status is in an optimization trend, and it is judged that the current power system operation status is good.

[0059] The temperature variation coefficient ; In the formula is the starting time point, For the end time point, is the temperature variation data of the power system over time, It is the reference variation data of power system temperature over time.

[0060] In this embodiment, the formula The temperature variation coefficient is calculated. Obviously, the greater the temperature change during the above time period, the greater the impact on the operating state of the power system and the greater the impact on the trend coefficient. Therefore, through the above technical solution, the trend coefficient can be dynamically adjusted according to the temperature change to achieve a more accurate judgment of the trend of the operating state of the power system and enhance safety.

[0061] The power fluctuation coefficient By the following formula:

[0062] Calculated; among them, A working cycle is divided into time gradient, for The influence coefficient of the time gradient is The curve showing the number of times the power system operation status score exceeds the warning threshold range over time. It is the reference curve preset by the system. It is a reference value based on historical data.

[0063] In this embodiment, by dividing a working cycle into multiple time segments, the number of times each operating status score exceeds the warning threshold interval can be analyzed more accurately. Calculate the power jump coefficient Obviously, The larger the final power fluctuation coefficient The larger it is, the higher the frequency with which the power system breaks through the warning threshold range, and therefore the more dangerous the power system is.

[0064] The working process of the potential risk warning module is as follows:

[0065] The calculated power fluctuation coefficient Power jump coefficient threshold Compare:

[0066] like , it is judged that there is an operation risk in the power system and an early warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system.

[0067] The process of prioritizing early warning signals is;

[0068] like ,and , then generate a high-level warning signal; if ,and , then an intermediate warning signal is generated; if ,and , a low-level warning signal is generated; if ,and , a normal warning signal is generated; the priority order is high > medium > low > normal.

[0069] In this embodiment, a working method of a potential risk warning module is provided. Specifically, the power jump coefficient calculated is first Power jump coefficient threshold Compare, if , then it is judged that there is an operation risk in the power system and an early warning signal is generated immediately; otherwise, it is judged that there is no operation risk in the power system; wherein, the process of prioritizing the early warning signal is as follows; if ,and , then generate a high-level warning signal; if ,and , then an intermediate warning signal is generated; if ,and , a low-level warning signal is generated; if ,and , then a normal warning signal is generated; among them, the priority order is high > medium > low > normal; obviously, the comprehensive trend coefficient, operation status score and power jump coefficient are comprehensively graded, and orderly inspection is carried out from severe to common to improve the maintenance efficiency after the warning.

[0070] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An operation status supervision system based on power monitoring, characterized in that: include: Power monitoring equipment, installed in the power system, for real-time monitoring of power parameters of the power system, including but not limited to current, voltage and temperature; A power monitoring data acquisition module, used to receive the power parameters as power monitoring data; The power operation status analysis module is used to receive power monitoring data and analyze and calculate the power monitoring data to obtain an operation status score, compare the operation status score with the warning threshold interval, and judge the operation status of the power system based on the comparison result; A potential problem analysis module is used to fit a time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval within a working cycle according to the operation status score, analyze the time-varying curve of the number of times the power system operation status score exceeds the warning threshold interval with a reference curve preset by the system, and calculate the power jump coefficient; A potential risk warning module is used to compare the power fluctuation coefficient with the power fluctuation coefficient threshold. If the power fluctuation coefficient exceeds the power fluctuation coefficient threshold, it is judged that there is an operation risk in the power system and a warning signal is immediately generated; Otherwise, it is judged that there is no operational risk in the power system; The process of obtaining the running status score is as follows: By formula Calculate the power system Running status score at the moment ; in, For the Items of power monitoring data, is the total number of power monitoring data items, is the rating coefficient, For the Power monitoring data The parameter value at the time, For the The mean of the power monitoring data, is the dimensionless coefficient; Score the running status and warning threshold interval Make comparisons; like , then it is judged that the operating state of the power system is bad; like , then further analyze the operating status of the power system; like , then it is judged that the operating status of the power system is good; The process of further analyzing the operating status of the power system is as follows: By formula: Calculate the trend coefficient ; In the formula, From 1 to The coefficient of temperature variation between time points, is the total number of time points randomly selected from a working cycle, is the preset scale factor, Respectively The voltage value, current value, frequency value, and voltage polarity value detected at each time point; Further judge the current operation status of the power system according to the trend coefficient; The process of further judging the operating status of the current power system based on the coefficient of variation is as follows: The calculated coefficient of variation and system trend threshold Compare: like , it means that the current power system operation status is deteriorating, and it is judged that the current power system operation status is poor; like , it means that the current power system operation status is in an optimization trend, and it is judged that the current power system operation status is good; The temperature variation coefficient ; In the formula is the starting time point, For the end time point, is the temperature variation data of the power system over time, It is the reference variation data of power system temperature over time.

2. The operation status supervision system based on power monitoring according to claim 1 is characterized in that: The power fluctuation coefficient By the following formula: Calculate and obtain; in, A working cycle is divided into time gradient, for The influence coefficient of the time gradient is The curve showing the number of times the power system operation status score exceeds the warning threshold range over time. It is the reference curve preset by the system. It is a reference value based on historical data.

3. The operation status supervision system based on power monitoring according to claim 2 is characterized in that: The working process of the potential risk warning module is as follows: The calculated power fluctuation coefficient Power jump coefficient threshold Compare: like , it is judged that there is an operation risk in the power system and an early warning signal is immediately generated; Otherwise, it is judged that there is no operation risk in the power system.

4. The operation status supervision system based on power monitoring according to claim 3 is characterized in that: The process of prioritizing early warning signals is; like ,and , then an advanced warning signal is generated; like ,and , then an intermediate warning signal is generated; like ,and , a low-level warning signal is generated; like ,and , then a general warning signal is generated; Among them, the priority order is high level > medium level > low level > normal level.

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