CN117761468A - multi-parameter operation state monitoring method and system for new energy power station - Google Patents
multi-parameter operation state monitoring method and system for new energy power station Download PDFInfo
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Abstract
The invention relates to the technical field of new energy power stations, in particular to a method and a system for monitoring the multi-parameter running state of a new energy power station, which comprises the following steps: in the new energy power generation process, measuring line loss data of a line and obtaining offset data; based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal; based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal; based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged; based on the periodic fluctuation signal, the power transmission line is subjected to fault elimination, the suspicious value of each suspicious device is obtained, the suspicious devices are checked, the periodicity of abnormal lines is judged, and the devices on the power transmission line are judged according to the periodicity, so that the devices causing the line loss abnormality can be conveniently and rapidly screened, and the running quality of the power transmission line is effectively improved.
Description
Technical Field
The invention relates to the technical field of new energy power stations, in particular to a method and a system for monitoring multi-parameter operation states of a new energy power station.
Background
chinese patent CN102279327B discloses a photovoltaic grid-connected power generation on-line monitoring and status evaluating system, comprising an electrical quantity acquisition unit, an on-off unit, an ARM9 data management unit, a CPLD/FPGA interface conversion unit, a temperature and illuminance measurement unit, and a power supply unit; ARM9, ARM7 and DSP are adopted to form a multi-CPU fully-embedded system, so that the reliability of a measurement control unit is greatly improved, and the expandability is high; taking FFT as a basic power quality measurement algorithm, adopting high-precision sampling and synchronous transmission, combining with real-time measurement of environmental parameters, and providing an inter-harmonic measurement algorithm and a harmonic positioning and responsibility dividing method, so as to realize online real-time comprehensive monitoring of the power quality and the running state of the photovoltaic grid-connected power station and record various steady-state and transient events;
In the prior art, the line loss secondary periodicity cannot be effectively analyzed, so that the working parameters of equipment on a power transmission line are analyzed and judged according to the line loss periodicity, and the problem of abnormal line loss is conveniently and effectively found out in time.
Disclosure of Invention
The invention aims to provide a multi-parameter operation state monitoring method and system for a new energy power station, which solve the following technical problems: the line loss secondary periodicity cannot be effectively analyzed, so that the working parameters of equipment on the power transmission line are analyzed and judged according to the line loss periodicity, and the problem of abnormal line loss can be conveniently and effectively found out in time.
The aim of the invention can be achieved by the following technical scheme:
A multi-parameter operation state monitoring method for a new energy power station comprises the following steps:
step 1: in the new energy power generation process, measuring line loss data of a line and obtaining offset data;
The line loss data comprises a line loss rate, wherein the line loss rate refers to the ratio of the difference between the electric quantity of the power supply end and the electric quantity of the power utilization end to the electric quantity of the power supply end, and the larger the line loss rate is, the more serious the line loss is; the offset data includes a line loss rate offset value;
step 2: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
step 3: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
step 4: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
wherein the periodic table value comprises a time interval rectangle difference value; the line loss abnormal periodic signal comprises a periodic fluctuation signal and an aperiodic fluctuation signal;
step 5: based on the periodic fluctuation signals, the power transmission line is subjected to fault elimination, suspicious values of each suspicious device are obtained, and the suspicious devices are checked.
as a further scheme of the invention: in the step 1, measuring the real-time line loss rate of a line, substituting the obtained real-time line loss rate into a time-line loss two-dimensional model, obtaining a real-time line loss coordinate point, connecting the real-time line loss coordinate point, and drawing to obtain a real-time line loss curve;
And performing superposition comparison on the real-time line loss curve and a preset line loss curve to obtain offset data.
as a further scheme of the invention: the coincidence comparison process is as follows:
acquiring a closed area which is defined by the lower part of the real-time line loss area and the upper part of a preset line loss curve, and marking the closed area as an upper peak area;
and adding and summing the areas of all the upper peak areas to obtain the line loss rate offset value.
As a further scheme of the invention: in step 2, if the line loss rate offset value is greater than or equal to the line loss rate offset threshold, generating a line loss high signal;
if the line loss rate offset value is smaller than the line loss rate offset threshold value, generating a line loss low signal;
when the line loss high signal is obtained, the adjacent upper peak area ratio, the adjacent upper peak time length ratio and the adjacent upper peak wave value ratio are obtained, and the adjacent upper peak total ratio is obtained;
If the adjacent upper peak total ratio is in the adjacent upper peak total ratio range value, generating a low-difference signal;
And if the adjacent upper peak total ratio is not in the adjacent upper peak total ratio range value, generating a high-difference signal.
as a further scheme of the invention: the adjacent peak area ratio is obtained by the following steps:
Obtaining the area of the adjacent upper peak area, dividing the area of the former upper peak area by the area of the latter upper peak area to obtain the area ratio of the adjacent upper peaks;
the acquisition mode of the adjacent peak time length ratio is as follows:
Acquiring the duration of the adjacent peaking region, dividing the duration of the previous peaking region by the duration of the next peaking region, and obtaining the ratio of the duration of the adjacent peaking region;
The adjacent up-peak wave value ratio is obtained by the following steps:
and obtaining the wave value of the adjacent upper peak area, dividing the wave value of the former upper peak area by the wave value of the latter upper peak area, and obtaining the adjacent upper peak wave value ratio.
As a further scheme of the invention: in the step 3, the frequency of occurrence of the low-difference signals and the frequency of occurrence of the high-difference signals are obtained, and the difference value between the frequency of occurrence of the low-difference signals and the frequency of occurrence of the high-difference signals is calculated to obtain a difference expression difference value;
If the difference performance difference value is compared with a difference performance difference threshold value;
If the difference expression difference value is larger than or equal to the difference expression difference threshold value, generating a line loss abnormal fluctuation small signal;
and if the difference performance difference value is smaller than the difference performance difference threshold value, generating a line loss abnormal fluctuation large signal.
As a further scheme of the invention: in step 4, when a line loss abnormal fluctuation small signal is obtained, extracting all the upper peak areas in the time-line loss two-dimensional model, obtaining the end time of the previous upper peak area and the end time of the next upper peak area of the adjacent upper peak areas, and subtracting the end time of the previous upper peak area from the end time of the next upper peak area of the upper peak areas to obtain interval duration;
Performing variance calculation on all interval duration to obtain an interval time length difference value; comparing the interval time length difference value with an interval time length variance threshold value;
and if the interval time length difference value is greater than or equal to the interval time length variance threshold value, generating a periodic fluctuation signal.
As a further scheme of the invention: in step 5, when a periodic fluctuation signal is obtained, the duration of all the peak areas is obtained, and the average value is obtained by adding and summing, so as to obtain a judging period value; acquiring an equipment abnormal period value on a power transmission line;
If the period value is larger than the equipment abnormal period value, generating an equipment non-influence signal;
And if the period value is less than or equal to the equipment abnormal period value, generating a suspicious equipment signal, and marking the equipment as suspicious electrical equipment.
As a further scheme of the invention: extracting all suspicious electrical equipment on a line, and acquiring multi-parameter operation state values of the suspicious equipment;
If the parameter running state value is not in the parameter running state range value, generating a parameter running disqualification signal;
counting the number of unqualified signals of parameter operation, and dividing the number by the number of multiple parameters to obtain a suspicious number ratio of suspicious equipment;
obtaining the duration of the parameter operation disqualification signal, dividing the obtained duration of the parameter operation disqualification signal by the judgment period value, and obtaining the suspicious period ratio of suspicious equipment;
Multiplying the obtained suspicious number ratio of the suspicious equipment by the suspicious period ratio of the suspicious equipment to obtain the suspicious value of the suspicious equipment;
the suspicious values of the suspicious devices on all the lines are arranged from big to small, and the suspicious values of the suspicious devices are checked according to the suspicious values.
A multi-parameter operating state monitoring system for a new energy power station, the monitoring system comprising:
And a measurement analysis module: in the new energy power generation process, measuring line loss data of a line and obtaining offset data;
The line loss data comprises a line loss rate, wherein the line loss rate refers to the ratio of the difference between the electric quantity of the power supply end and the electric quantity of the power utilization end to the electric quantity of the power supply end, and the larger the line loss rate is, the more serious the line loss is; the offset data includes a line loss rate offset value;
The abnormality judgment module: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
The fluctuation judging module is used for: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
And the period analysis module is used for: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
And the equipment monitoring module: based on the periodic fluctuation signals, the power transmission line is subjected to fault elimination, suspicious values of each suspicious device are obtained, and the suspicious devices are checked.
the invention has the beneficial effects that:
In the new energy power generation process, line loss data of a line are measured, and offset data are obtained; based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal; based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal; the invention judges the line loss state by carrying out superposition analysis on the line real-time line loss rate of the power transmission line, and further reflects the line loss difference in adjacent line loss time periods from the parameters of the area, the duration and the wave value, thereby knowing the fluctuation condition of the line loss in an abnormal state;
The method is based on the line loss abnormal fluctuation small signal, the periodic table value is obtained, and the line loss abnormal periodic signal is judged; based on the periodic fluctuation signal, performing fault elimination on the power transmission line, obtaining a suspicious value of each suspicious device, and checking the suspicious device; according to the method, the periodicity of the abnormal line is judged, equipment on the power transmission line is judged according to the periodicity, and equipment causing the abnormal line loss is conveniently and rapidly screened, so that the running quality of the power transmission line is effectively improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a flow chart of embodiment 1 of the present invention;
FIG. 2 is a flow chart of embodiment 2 of the present invention;
fig. 3 is a system block diagram of embodiment 3 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.
Example 1
referring to fig. 1, the invention relates to a multi-parameter operation state monitoring method for a new energy power station, which comprises the following steps:
step 1: in the new energy power generation process, measuring line loss data of a line and obtaining offset data;
The line loss data comprises a line loss rate, wherein the line loss rate refers to the ratio of the difference between the electric quantity of the power supply end and the electric quantity of the power utilization end to the electric quantity of the power supply end, and the larger the line loss rate is, the more serious the line loss is; the offset data includes a line loss rate offset value;
In some embodiments, in the process of generating power by using new energy, measuring the real-time line loss rate of a line, substituting the obtained real-time line loss rate into a time-line loss two-dimensional model, obtaining a real-time line loss coordinate point, connecting the real-time line loss coordinate point, and drawing to obtain a real-time line loss curve;
overlapping and comparing the real-time line loss curve with a preset line loss curve (drawn by the technician according to historical data) to obtain offset data;
it should be explained that: the time-line loss two-dimensional model is constructed by taking time as an X axis and the line loss rate as a Y axis;
Specifically, the coincidence comparison process is as follows:
acquiring a closed area which is defined by the lower part of the real-time line loss area and the upper part of a preset line loss curve, and marking the closed area as an upper peak area;
Adding and summing the areas of all the peak areas to obtain a line loss rate offset value;
step 2: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
In some embodiments, a line loss rate offset value is obtained, and the line loss rate offset value is compared with a line loss rate offset threshold;
if the line loss rate offset value is greater than or equal to the line loss rate offset threshold value, generating a line loss high signal;
if the line loss rate offset value is smaller than the line loss rate offset threshold value, generating a line loss low signal;
when the line loss high signal is obtained, the adjacent upper peak area ratio, the adjacent upper peak time length ratio and the adjacent upper peak wave value ratio are obtained, and the adjacent upper peak total ratio is obtained;
comparing the adjacent upper peak total ratio with the adjacent upper peak total ratio range value;
If the adjacent upper peak total ratio is in the adjacent upper peak total ratio range value, generating a low-difference signal;
if the adjacent upper peak total ratio is not in the adjacent upper peak total ratio range value, generating a high-difference signal;
Specifically, the adjacent peak area ratio is obtained by the following steps:
Obtaining the area of the adjacent upper peak area, dividing the area of the former upper peak area by the area of the latter upper peak area to obtain the area ratio of the adjacent upper peaks;
the acquisition mode of the adjacent peak time length ratio is as follows:
acquiring the duration of the adjacent upper peak area (the duration of the upper peak area is the final time of the upper peak area minus the starting time), dividing the duration of the former upper peak area by the duration of the latter upper peak area to obtain the adjacent upper peak duration ratio;
The adjacent up-peak wave value ratio is obtained by the following steps:
acquiring the wave value of the adjacent upper peak area (the wave value is the line loss value corresponding to the trough of the upper peak area), dividing the wave value of the former upper peak area by the wave value of the latter upper peak area, and obtaining the adjacent upper peak wave value ratio;
noun interpretation: the line loss high signal indicates that in the current power generation process, the overall line in the power transmission process has higher line loss; the low line loss signal indicates that in the current power generation process, the whole line has lower line loss in the power transmission process; the high difference signal indicates that the adjacent two line losses have larger fluctuation, and the low difference signal indicates that the adjacent two line losses have smaller fluctuation;
step 3: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
In some implementations, the number of times of occurrence of the low-difference signal and the number of times of occurrence of the high-difference signal are obtained, and the difference value between the number of times of occurrence of the low-difference signal and the number of times of occurrence of the high-difference signal is calculated to obtain a difference expression difference value;
If the difference performance difference value is compared with a difference performance difference threshold value;
If the difference expression difference value is larger than or equal to the difference expression difference threshold value, generating a line loss abnormal fluctuation small signal;
If the difference performance difference value is smaller than the difference performance difference threshold value, generating a line loss abnormal fluctuation large signal;
The technical scheme of the embodiment of the invention comprises the following steps: in the new energy power generation process, measuring line loss data of a line and obtaining offset data; based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal; based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal; the invention judges the line loss state by carrying out superposition analysis on the line real-time line loss rate of the power transmission line, and further reflects the line loss difference in adjacent line loss time periods from the parameters of the area, the duration and the wave value, thereby knowing the fluctuation condition of the line loss in the abnormal state.
Example 2
Referring to fig. 2, the invention relates to a method for monitoring the multi-parameter operation state of a new energy power station, which further comprises the following steps:
step 4: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
wherein the periodic table value comprises a time interval rectangle difference value; the line loss abnormal periodic signal comprises a periodic fluctuation signal and an aperiodic fluctuation signal;
in some embodiments, when a line loss abnormal fluctuation small signal is obtained, extracting all the upper peak areas in the time-line loss two-dimensional model, obtaining the end time of a previous upper peak area and the end time of a subsequent upper peak area of adjacent upper peak areas, and subtracting the end time of the previous upper peak area from the end time of the subsequent upper peak area of the upper peak areas to obtain interval duration;
Performing variance calculation on all interval duration to obtain an interval time length difference value; comparing the interval time length difference value with an interval time length variance threshold value;
if the interval time length difference value is greater than or equal to the interval time length variance threshold value, generating a periodic fluctuation signal;
if the interval time length difference value is smaller than the interval time length variance threshold value, generating an aperiodic fluctuating signal;
noun interpretation: the periodic fluctuation signal indicates that the output circuit has periodic line loss abnormal conditions in the operation time, and the periodic fluctuation signal indicates that the output circuit has no periodic line loss abnormal conditions in the operation time;
Step 5: based on the periodic fluctuation signal, performing fault elimination on the power transmission line, obtaining a suspicious value of each suspicious device, and checking the suspicious device;
In some embodiments, when a periodic fluctuation signal is obtained, the duration of all the peak areas is obtained, and the average value is obtained by adding and summing, so as to obtain a judgment period value;
Acquiring an equipment abnormal period value (the equipment abnormal period is a period value of the equipment abnormal equipment is acquired if the equipment on the power transmission line is periodically abnormal in the running process in the statistical history time, and if the equipment is marked as the periodically abnormal equipment);
comparing the judging period value with the abnormal period value of the equipment;
If the judging period value is larger than the equipment abnormal period value, indicating that the equipment is not abnormal due to line loss, and generating equipment non-influence signals;
If the period value is less than or equal to the equipment abnormal period value, indicating that the equipment possibly causes abnormal line loss, generating a suspicious equipment signal, and marking the equipment as suspicious electrical equipment;
Extracting all suspicious electrical equipment on a line, and acquiring multi-parameter operation state values of the suspicious equipment, wherein the multi-parameter operation state values comprise equipment voltage values, equipment current values and power factor values;
Comparing the parameter operation state value with the parameter operation state range value;
if the parameter operation state value is in the parameter operation state range value, generating a parameter operation qualified signal;
If the parameter running state value is not in the parameter running state range value, generating a parameter running disqualification signal;
counting the number of unqualified signals of parameter operation, and dividing the number by the number of multiple parameters to obtain a suspicious number ratio of suspicious equipment;
obtaining the duration of the parameter operation disqualification signal, dividing the obtained duration of the parameter operation disqualification signal by the judgment period value, and obtaining the suspicious period ratio of suspicious equipment;
Multiplying the obtained suspicious number ratio of the suspicious equipment by the suspicious period ratio of the suspicious equipment to obtain the suspicious value of the suspicious equipment;
The suspicious values of the suspicious devices on all the lines are arranged from big to small, and the suspicious values of the suspicious devices are checked according to the suspicious values;
The technical scheme of the embodiment of the invention is as follows: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged; based on the periodic fluctuation signal, performing fault elimination on the power transmission line, obtaining a suspicious value of each suspicious device, and checking the suspicious device; according to the method, the periodicity of the abnormal line is judged, equipment on the power transmission line is judged according to the periodicity, and equipment causing the abnormal line loss is conveniently and rapidly screened, so that the running quality of the power transmission line is effectively improved.
Example 3
Referring to fig. 3, the present invention is a multi-parameter operation status monitoring system for a new energy power station, comprising:
And a measurement analysis module: in the new energy power generation process, measuring line loss data of a line and obtaining offset data;
The line loss data comprises a line loss rate, wherein the line loss rate refers to the ratio of the difference between the electric quantity of the power supply end and the electric quantity of the power utilization end to the electric quantity of the power supply end, and the larger the line loss rate is, the more serious the line loss is; the offset data includes a line loss rate offset value;
The abnormality judgment module: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
The fluctuation judging module is used for: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
And the period analysis module is used for: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
And the equipment monitoring module: based on the periodic fluctuation signals, the power transmission line is subjected to fault elimination, suspicious values of each suspicious device are obtained, and the suspicious devices are checked.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
the foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (10)
1. the multi-parameter running state monitoring method for the new energy power station is characterized by comprising the following steps of:
Step 1: measuring line loss data of a line and obtaining offset data; wherein the line loss data includes a line loss rate; the offset data includes a line loss rate offset value;
step 2: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
step 3: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
step 4: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
wherein the periodic table value comprises a time interval rectangle difference value; the line loss abnormal periodic signal comprises a periodic fluctuation signal and an aperiodic fluctuation signal;
step 5: based on the periodic fluctuation signals, the power transmission line is subjected to fault elimination, suspicious values of each suspicious device are obtained, and the suspicious devices are checked.
2. The multi-parameter operation state monitoring method of a new energy power station according to claim 1, wherein in step 1, the real-time line loss rate of a line is measured, the obtained real-time line loss rate is substituted into a time-line loss two-dimensional model, a real-time line loss coordinate point is obtained, the real-time line loss coordinate point is connected, and a real-time line loss curve is drawn;
And performing superposition comparison on the real-time line loss curve and a preset line loss curve to obtain offset data.
3. The method for monitoring the multi-parameter operation state of the new energy power station according to claim 2, wherein the coincidence comparison process is as follows:
acquiring a closed area which is defined by the lower part of the real-time line loss area and the upper part of a preset line loss curve, and marking the closed area as an upper peak area;
and adding and summing the areas of all the upper peak areas to obtain the line loss rate offset value.
4. The method for monitoring the multi-parameter operation state of a new energy power station according to claim 1, wherein in the step 2, if the line loss rate offset value is greater than or equal to a line loss rate offset threshold value, a line loss high signal is generated;
if the line loss rate offset value is smaller than the line loss rate offset threshold value, generating a line loss low signal;
when the line loss high signal is obtained, the adjacent upper peak area ratio, the adjacent upper peak time length ratio and the adjacent upper peak wave value ratio are obtained, and the adjacent upper peak total ratio is obtained;
If the adjacent upper peak total ratio is in the adjacent upper peak total ratio range value, generating a low-difference signal;
And if the adjacent upper peak total ratio is not in the adjacent upper peak total ratio range value, generating a high-difference signal.
5. The method for monitoring the multi-parameter operation state of the new energy power station according to claim 4, wherein the adjacent peak area ratio is obtained by the following steps:
Obtaining the area of the adjacent upper peak area, dividing the area of the former upper peak area by the area of the latter upper peak area to obtain the area ratio of the adjacent upper peaks;
the acquisition mode of the adjacent peak time length ratio is as follows:
Acquiring the duration of the adjacent peaking region, dividing the duration of the previous peaking region by the duration of the next peaking region, and obtaining the ratio of the duration of the adjacent peaking region;
The adjacent up-peak wave value ratio is obtained by the following steps:
and obtaining the wave value of the adjacent upper peak area, dividing the wave value of the former upper peak area by the wave value of the latter upper peak area, and obtaining the adjacent upper peak wave value ratio.
6. the multi-parameter operation state monitoring method of a new energy power station according to claim 1, wherein in step 3, the number of times of occurrence of low-difference signals and the number of times of occurrence of high-difference signals are obtained, and difference values of the number of times of occurrence of low-difference signals and the number of times of occurrence of high-difference signals are calculated to obtain difference expression difference values;
If the difference performance difference value is compared with a difference performance difference threshold value;
If the difference expression difference value is larger than or equal to the difference expression difference threshold value, generating a line loss abnormal fluctuation small signal;
and if the difference performance difference value is smaller than the difference performance difference threshold value, generating a line loss abnormal fluctuation large signal.
7. the multi-parameter operation state monitoring method of a new energy power station according to claim 1, wherein in step 4, when a line loss abnormal fluctuation small signal is obtained, extracting all the upper peak areas in a time-line loss two-dimensional model, obtaining the end time of the previous upper peak area and the end time of the next upper peak area of the adjacent upper peak areas, and subtracting the end time of the previous upper peak area from the end time of the next upper peak area to obtain interval duration;
Performing variance calculation on all interval duration to obtain an interval time length difference value; comparing the interval time length difference value with an interval time length variance threshold value;
and if the interval time length difference value is greater than or equal to the interval time length variance threshold value, generating a periodic fluctuation signal.
8. The method for monitoring the multi-parameter running state of the new energy power station according to claim 1, wherein in the step 5, when the periodic fluctuation signal is obtained, the duration of all the peak areas is obtained, and the average value is obtained by adding and summing, so as to obtain the judgment period value; acquiring an equipment abnormal period value on a power transmission line;
If the period value is larger than the equipment abnormal period value, generating an equipment non-influence signal;
And if the period value is less than or equal to the equipment abnormal period value, generating a suspicious equipment signal, and marking the equipment as suspicious electrical equipment.
9. The multi-parameter operation state monitoring method for the new energy power station according to claim 8, wherein all suspicious electrical equipment on a line is extracted, and multi-parameter operation state values of the suspicious equipment are obtained;
If the parameter running state value is not in the parameter running state range value, generating a parameter running disqualification signal;
counting the number of unqualified signals of parameter operation, and dividing the number by the number of multiple parameters to obtain a suspicious number ratio of suspicious equipment;
obtaining the duration of the parameter operation disqualification signal, dividing the obtained duration of the parameter operation disqualification signal by the judgment period value, and obtaining the suspicious period ratio of suspicious equipment;
Multiplying the obtained suspicious number ratio of the suspicious equipment by the suspicious period ratio of the suspicious equipment to obtain the suspicious value of the suspicious equipment;
the suspicious values of the suspicious devices on all the lines are arranged from big to small, and the suspicious values of the suspicious devices are checked according to the suspicious values.
10. a new energy power station multi-parameter operation state monitoring system, characterized in that the monitoring system is adapted to perform the method according to any of the preceding claims 1-9, the monitoring system comprising:
And a measurement analysis module: in the new energy power generation process, measuring line loss data of a line and obtaining offset data;
The line loss data comprises a line loss rate, wherein the line loss rate refers to the ratio of the difference between the electric quantity of the power supply end and the electric quantity of the power utilization end to the electric quantity of the power supply end, and the larger the line loss rate is, the more serious the line loss is; the offset data includes a line loss rate offset value;
The abnormality judgment module: based on the line loss rate offset value, carrying out line abnormality judgment to obtain a line loss signal and a difference signal;
the line loss signals comprise line loss high signals and line loss low signals, and the difference signals comprise difference low signals and difference high signals;
The fluctuation judging module is used for: based on the difference signal, obtaining a difference expression difference value to obtain a line loss abnormal fluctuation signal;
The line loss abnormal fluctuation signals comprise a line loss abnormal fluctuation small signal and a line loss abnormal fluctuation large signal;
And the period analysis module is used for: based on the line loss abnormal fluctuation small signal, a periodic representation value is obtained, and the line loss abnormal periodic signal is judged;
And the equipment monitoring module: based on the periodic fluctuation signals, the power transmission line is subjected to fault elimination, suspicious values of each suspicious device are obtained, and the suspicious devices are checked.
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