CN113985128A - Oscillation early warning method and system based on measurement data, storage medium and server - Google Patents
Oscillation early warning method and system based on measurement data, storage medium and server Download PDFInfo
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Abstract
An oscillation early warning method, a system, a storage medium and a server based on measurement data are disclosed, the method comprises the steps of summarizing wide-frequency oscillation signal real-time measurement data in a plant station, wherein the wide-frequency oscillation signal real-time measurement data comprises frequency, amplitude and phase measurement values of power grid fundamental wave, inter-harmonic wave and harmonic wave signals; carrying out statistical analysis on the broadband measurement historical data, finding out an inter-harmonic distribution rule, and carrying out oscillation early warning on an electrical interval with an abnormal inter-harmonic distribution rule; analyzing the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the station based on the real-time measurement data of the broadband oscillation signals, and carrying out oscillation early warning on the electrical interval with negative impedance; and determining the variation trend of the oscillation signal based on the real-time measurement data of the broadband oscillation signal of each electrical interval in the station and carrying out oscillation early warning. The method and the system perform early warning on potential oscillation risks of the power grid in the station in advance, suppress and intervene the oscillation in advance, avoid or reduce the oscillation and ensure the operation safety of the power grid.
Description
Technical Field
The invention belongs to the technical field of power system automation, and particularly relates to an oscillation early warning method and system based on measurement data, a storage medium and a server.
Background
The large-scale grid-connected access of photovoltaic and wind power introduces a large number of power electronic devices, secondary/synchronous oscillation events are frequently generated due to non-power frequency voltage/current sources and non-power frequency control mechanisms of the power electronic devices, the safety and stability of the operation of a power grid are seriously influenced, a power grid model accessed by the large number of power electronic devices is obviously different from a traditional power grid, a lot of projects with oscillation events are difficult to reproduce the oscillation process even if the projects are simulated afterwards, and the fundamental reason is that the simulation model is greatly different from the actual situation.
Because the simulation modeling of the power grid under the access of the power electronic equipment is a difficult point of current industry research, the oscillation risk point is difficult to accurately and comprehensively define only by means of simulation analysis under the large-scale grid-connected access of new energy, and the oscillation cannot be completely avoided, so that the monitoring and early warning of the oscillation from the aspect of operation monitoring are necessary, if the oscillation can be found in advance and intervened in time, the oscillation can be avoided to a great extent, and the operation safety of the power grid is guaranteed.
The national standard of the safety and stability guide rule of the power system, published in 2020, clearly requires that oscillation suppression and monitoring measures should be taken for new energy stations and delivery projects with subsynchronous oscillation or supersynchronous oscillation risks, and for the grid side of new energy stations under grid-connected access, oscillation monitoring and suppression means are also needed, wherein an important function is oscillation early warning.
At present, in the industry, low-frequency oscillation and subsynchronous oscillation are mainly monitored based on a WAMS system, and after oscillation occurs, the frequency of the low-frequency oscillation or the subsynchronous oscillation is identified through analysis of fundamental wave power, but the existing monitoring means represented by the mode can only passively monitor and respond to the oscillation event, and an oscillation pre-warning method is lacked, so that the oscillation can not be pre-warned in advance and an intervention strategy can be provided in time, and the oscillation event can be effectively avoided or reduced.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and provides an oscillation early warning method, an oscillation early warning system, a storage medium and a server based on measurement data, which are used for accurately evaluating the oscillation risk of a power grid based on broadband measurement data so as to actively prevent and intervene.
In order to achieve the purpose, the invention has the following technical scheme:
in a first aspect, an oscillation early warning method based on measurement data is provided, which includes the following steps:
summarizing real-time measurement data of broadband oscillation signals in the station, and carrying out oscillation early warning through any one or more of the following three ways:
a. storing the real-time measurement data of the broadband oscillation signals gathered in the station, performing statistical analysis on the broadband measurement historical data formed by the real-time measurement data of the broadband oscillation signals, finding out an inter-harmonic distribution rule, and performing oscillation early warning on the electrical intervals with abnormal inter-harmonic distribution rules;
b. analyzing the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the station based on the real-time measurement data of the broadband oscillation signals, and carrying out oscillation early warning on the electrical interval with negative impedance;
c. and determining the variation trend of the oscillation signal based on the real-time measurement data of the broadband oscillation signal of each electrical interval in the station and carrying out oscillation early warning.
As a preferred scheme of the oscillation early warning method, the station-based wideband oscillation signal real-time measurement data summarization comprises the following steps: data of one or more broadband measuring devices in the plant are collected in the plant, and the broadband measuring devices perform broadband measurement based on high-frequency sampling.
As a preferred scheme of the oscillation early warning method, the real-time measurement data of the broadband oscillation signals comprise frequency, amplitude and phase measurement of fundamental wave, inter-harmonic wave and harmonic wave signals of a power grid;
the statistical analysis of the broadband measurement historical data formed by the real-time measurement data of the broadband oscillation signals and the finding of the inter-harmonic distribution rule comprise the following steps:
carrying out statistical analysis on the real-time measurement data of the broadband oscillation signals of the electrical intervals in the plant station according to a set time interval, marking the frequency and amplitude of fundamental wave, inter-harmonic wave and harmonic wave signals of each power grid and the maximum value and the minimum value of phase measurement data in the time interval, summarizing measurement results every time, and calculating an average value in the time interval;
for each electrical interval, summarizing and analyzing statistical analysis results in a set time interval according to a time dimension taking days as a unit, statistically analyzing average values of fundamental waves, inter-harmonics and harmonic signals of the same power grid in a range of one day, sequencing according to amplitude values of the inter-harmonic signals, summarizing and counting the inter-harmonic signals of which the amplitude values exceed a threshold value, and acquiring an inter-harmonic distribution rule;
and for each electrical interval, carrying out statistical analysis on the frequency and the amplitude of the typical inter-harmonic signal of each day in the month according to the time dimension taking the month as a unit, and determining the typical inter-harmonic distribution rule and the change characteristic.
As a preferred scheme of the oscillation early warning method of the present invention, the oscillation early warning of the electrical interval with abnormal inter-harmonic distribution rules includes the following steps:
comparing the amplitude of the typical inter-harmonic signal of each electrical interval with the historical measurement value of the fundamental wave of the typical inter-harmonic signal, and giving an oscillation early warning to the corresponding electrical interval when the ratio of the amplitude to the typical inter-harmonic signal of each electrical interval is greater than a threshold value A or the threshold value of a preset number of inter-harmonics is greater than B;
and comparing and analyzing the inter-harmonic distribution rule of each electrical interval, and giving an oscillation early warning to the corresponding electrical interval when a new inter-harmonic signal appears and the amplitude is greater than the historical typical inter-harmonic signal.
As a preferred scheme of the oscillation early warning method of the present invention, the analyzing impedance characteristics of inter-harmonic frequency bands of each electrical interval in a plant station based on real-time measurement data of a broadband oscillation signal, and the oscillation early warning of the electrical interval with negative impedance comprises the following steps:
and aiming at all the measured inter-harmonic signals, calculating the inter-harmonic voltage amplitude and phase, the inter-harmonic current amplitude and phase corresponding to each frequency to obtain the impedance value of the inter-harmonic voltage amplitude and phase, identifying the frequency with negative resistance characteristics in the impedance value and giving oscillation early warning corresponding to the electrical interval.
As a preferred scheme of the oscillation early warning method, the step of determining the oscillation signal variation trend based on the real-time measurement data of the broadband oscillation signals of each electrical interval in the plant station and performing oscillation early warning comprises the following steps:
sequencing real-time measurement data of the broadband oscillation signals according to the amplitude of inter-harmonic current, and solving an average value I _ Ave of the current amplitudes of all frequencies;
continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement results are continuously increased and continue for N periods; or when the measurement result is continuously increased and the ratio of the measurement result to the oscillation alarm threshold value reaches K, carrying out oscillation early warning.
In a second aspect, an oscillation warning system based on metrology data is provided, comprising:
the data measurement and summary module is used for summarizing the real-time measurement data of the wide-frequency oscillation signals in the plant;
the historical data early warning module is used for storing the broadband oscillation signal real-time measurement data collected in the plant station, performing statistical analysis on the broadband measurement historical data formed by the broadband oscillation signal real-time measurement data, finding out an inter-harmonic distribution rule and performing oscillation early warning on an electrical interval with an abnormal inter-harmonic distribution rule;
the oscillation impedance characteristic early warning module is used for analyzing the impedance characteristics of inter-harmonic frequency bands of all electrical intervals in the station based on the real-time measurement data of the broadband oscillation signals and carrying out oscillation early warning on the electrical intervals with negative impedance;
and the oscillation change trend early warning module is used for determining the oscillation signal change trend based on the broadband oscillation signal real-time measurement data of each electrical interval in the station and carrying out oscillation early warning.
As a preferred scheme of the oscillation early warning system, the real-time measurement data of the broadband oscillation signals summarized by the data measurement summarizing module comprises frequency, amplitude and phase measurement data of fundamental wave, inter-harmonic wave and harmonic wave signals of a power grid;
the historical data early warning module carries out statistical analysis on the broadband measurement historical data formed by the broadband oscillation signal real-time measurement data in the following mode to find out the inter-harmonic distribution rule:
carrying out statistical analysis on the real-time measurement data of the broadband oscillation signals of the electrical intervals in the plant station according to a set time interval, marking the frequency and amplitude of fundamental wave, inter-harmonic wave and harmonic wave signals of each power grid and the maximum value and the minimum value of phase measurement data in the time interval, summarizing measurement results every time, and calculating an average value in the time interval;
for each electrical interval, summarizing and analyzing statistical analysis results in a set time interval according to a time dimension taking days as a unit, statistically analyzing average values of fundamental waves, inter-harmonics and harmonic signals of the same power grid in a range of one day, sequencing according to amplitude values of the inter-harmonic signals, summarizing and counting the inter-harmonic signals of which the amplitude values exceed a threshold value, and acquiring an inter-harmonic distribution rule;
and for each electrical interval, carrying out statistical analysis on the frequency and the amplitude of the typical inter-harmonic signal of each day in the month according to the time dimension taking the month as a unit, and determining the typical inter-harmonic distribution rule and the change characteristic.
As a preferred scheme of the oscillation early warning system, when the historical data early warning module performs oscillation early warning on the electrical intervals with abnormal inter-harmonic distribution rules, the amplitude of a typical inter-harmonic signal of each electrical interval is compared with a historical fundamental wave measured value of the electrical interval, and when the ratio of the amplitude to the typical inter-harmonic signal of each electrical interval is greater than a threshold value a or the threshold value of a preset number of inter-harmonics is greater than a threshold value B, the oscillation early warning of the corresponding electrical interval is given;
and comparing and analyzing the inter-harmonic distribution rule of each electrical interval, and giving an oscillation early warning to the corresponding electrical interval when a new inter-harmonic signal appears and the amplitude is greater than the historical typical inter-harmonic signal.
As a preferred scheme of the oscillation early warning system of the present invention, the oscillation impedance characteristic early warning module analyzes the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the plant station based on the real-time measurement data of the broadband oscillation signal, calculates inter-harmonic voltage amplitudes and phases, inter-harmonic current amplitudes and phases corresponding to each frequency for all measured inter-harmonic signals when performing oscillation early warning for the electrical interval with negative impedance, identifies the frequency with negative resistance characteristic in the impedance values, and gives oscillation early warning for the corresponding electrical interval.
As a preferred scheme of the oscillation early warning system, when the oscillation change trend early warning module determines the oscillation signal change trend based on the broadband oscillation signal real-time measurement data of each electrical interval in the plant station and performs oscillation early warning, the broadband oscillation signal real-time measurement data is sorted according to the amplitude of inter-harmonic current, and the current amplitude of each frequency is averaged to obtain an average value I _ Ave;
continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement results are continuously increased and continue for N periods; or when the measurement result is continuously increased and the ratio of the measurement result to the oscillation alarm threshold value reaches K, carrying out oscillation early warning.
In a third aspect, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the method for oscillation warning based on metrology data.
In a fourth aspect, a server is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the oscillation warning method based on measurement data when executing the computer program.
Compared with the prior art, the first aspect of the invention has at least the following beneficial effects:
based on the oscillation early warning of the broadband measurement historical data, aiming at the electrical intervals with rich harmonic content in the daily operation process, the oscillation early warning device can be used as a potential object aiming at risks to pay important attention and adjust targeted control parameters in advance, and the risk and the probability of oscillation are effectively reduced. The reason for the early warning of the oscillation impedance characteristics based on the real-time measurement data is that each frequency has a corresponding voltage and current measurement value, so that the impedance value corresponding to each frequency can be calculated, and the resistance result of the real part of the impedance value determines whether an oscillation risk exists or not. And based on the oscillation change trend early warning of real-time measurement data, finding out a threshold that the amplitude of a certain inter-harmonic signal is continuously increased or the amplitude of the certain inter-harmonic signal is rapidly increased and reaches early warning, and reminding that oscillation is about to occur and intervention is required in advance. In conclusion, compared with a passive coping processing mode, the broadband oscillation early warning method can early warn potential oscillation risks of the power grid in the station, inhibit and intervene the oscillation in advance, avoid or reduce the oscillation, and effectively guarantee the operation safety of the power grid.
It is understood that the beneficial effects of the second to fourth aspects can be seen from the description of the first aspect, and are not described herein again.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of an oscillation warning method based on measurement data according to the present invention;
FIG. 2 is a schematic diagram of an oscillation warning system based on measurement data according to the present invention;
fig. 3 is a schematic view of a deployment scheme of the oscillation warning system based on measurement data in a plant station.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
Example 1
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Referring to fig. 1, an oscillation warning method based on measurement data according to an embodiment of the present invention includes the following steps:
s1, summarizing the real-time measurement data of the broadband oscillation signals in the station;
the real-time measurement data of the broadband oscillation signals comprise frequency, amplitude and phase measurement values of fundamental wave, inter-harmonic wave and harmonic wave signals of the power grid;
s2, carrying out oscillation early warning based on the broadband measurement historical data;
storing the real-time measurement data of the broadband oscillation signals gathered in the station, performing statistical analysis on the broadband measurement historical data formed by the real-time measurement data of the broadband oscillation signals, finding out an inter-harmonic distribution rule, and performing oscillation early warning on the electrical intervals with abnormal inter-harmonic distribution rules;
s3, performing early warning on the oscillation impedance characteristic based on real-time measurement data;
analyzing the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the station based on the real-time measurement data of the broadband oscillation signals, and carrying out oscillation early warning on the electrical interval with negative impedance;
s4, carrying out early warning on oscillation change trend based on real-time measurement data;
and determining the variation trend of the oscillation signal based on the real-time measurement data of the broadband oscillation signal of each electrical interval in the station and carrying out oscillation early warning.
In one embodiment, the step S1 is to collect data of one or more broadband measurement devices in the plant, and the broadband measurement devices perform broadband measurement based on the high-frequency sampling, and measure the frequency, amplitude, and phase of the fundamental, inter-harmonic, and harmonic signals of the power grid in real time.
In one embodiment, the step S2 of performing statistical analysis on the broadband measurement history data to find out the inter-harmonic distribution rule, and performing oscillation warning on the electrical interval with abnormal inter-harmonic distribution rule includes the following steps:
s21, carrying out statistical analysis on the fundamental wave, the inter-harmonic wave and the harmonic signal which are monitored in real time at the electrical intervals in the plant station according to a set time interval, marking the frequency and the amplitude of each fundamental wave, inter-harmonic wave and harmonic signal in the time interval and the maximum value and the minimum value of the phase measurement value, summarizing according to the measurement result every time, and calculating the average value in the time range.
S22, summarizing and analyzing the statistical analysis results in a set time interval range according to the time dimension taking the day as a unit, statistically analyzing the average values of the same fundamental wave, inter-harmonic wave and harmonic wave signals in the day range, sorting according to the amplitude of the inter-harmonic wave signals, summarizing and counting the inter-harmonic wave signals of which the amplitudes exceed a threshold value, and acquiring the harmonic wave distribution rule among the inter-harmonic wave signals.
And S23, statistically analyzing the frequency and the amplitude of the typical inter-harmonic signal of each day according to the time dimension taking months as a unit, and determining the typical inter-harmonic distribution rule and the variation characteristic of the electrical interval.
And S24, comparing the amplitude of the typical inter-harmonic signal with the historical measurement value of the fundamental wave, and giving an oscillation early warning when the ratio of the amplitude of the typical inter-harmonic signal to the historical measurement value of the fundamental wave is greater than a threshold value A or the threshold values of a plurality of inter-harmonics are greater than B.
And S25, comparing and analyzing the inter-harmonic distribution rule of the electrical interval, and carrying out oscillation early warning when a new inter-harmonic signal appears and the amplitude is larger than the historical typical inter-harmonic signal.
In one embodiment, the step S3 of analyzing impedance characteristics of inter-harmonic frequency bands of each electrical interval in the plant station based on the real-time measurement data of the broadband oscillation signal, and performing the oscillation early warning on the electrical interval with negative impedance includes the following steps:
and aiming at all the measured inter-harmonic signals, calculating the inter-harmonic voltage amplitude and phase, the inter-harmonic current amplitude and phase corresponding to each frequency to obtain the impedance value of the inter-harmonic voltage amplitude and phase, and identifying and early warning the frequency with negative resistance characteristics in the impedance value.
In one embodiment, the determining the variation trend of the oscillation signal and performing the oscillation early warning based on the real-time measurement data of the broadband oscillation signal of each electrical interval in the plant at step S4 includes the following steps:
sequencing real-time measurement data of the broadband oscillation signals according to the amplitude of inter-harmonic current, and solving an average value I _ Ave of the current amplitudes of all frequencies.
The early warning condition is as follows: continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement values are continuously increased and continue for N periods;
and secondly, performing continuous comparison on the measurement result of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement value is continuously increased and the ratio of the measurement value to the oscillation alarm threshold reaches K.
And judging the early warning condition I and the early warning condition II in parallel, and carrying out oscillation early warning when any condition is met.
Example 2
Referring to fig. 2, an oscillation early warning system based on measurement data according to an embodiment of the present invention includes a data measurement summarizing module 1, a historical data early warning module 2, an oscillation impedance characteristic early warning module 3, and an oscillation change trend early warning module 4, and main functions and uses of each module are embodied in the following aspects:
the data measurement summarizing module 1 is used for summarizing the real-time measurement data of the broadband oscillation signals in the station, wherein the real-time measurement data of the broadband oscillation signals comprise frequency, amplitude and phase measurement values of fundamental wave, inter-harmonic wave and harmonic wave signals of a power grid.
The historical data early warning module 2 is used for oscillation early warning based on broadband measurement historical data, specifically, stores broadband oscillation signal real-time measurement data collected in a plant station, performs statistical analysis on the broadband measurement historical data formed by the broadband oscillation signal real-time measurement data, finds out inter-harmonic distribution rules, and performs oscillation early warning on electrical intervals with abnormal inter-harmonic distribution rules.
The oscillation impedance characteristic early warning module 3 is used for oscillation impedance characteristic early warning based on real-time measurement data, specifically, analyzing the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the plant station based on broadband oscillation signal real-time measurement data, and performing oscillation early warning on the electrical interval with negative impedance.
The oscillation change trend early warning module 4 is used for oscillation change trend early warning based on real-time measurement data, and specifically, determines an oscillation signal change trend based on broadband oscillation signal real-time measurement data of each electrical interval in a plant and performs oscillation early warning.
Furthermore, the data measurement summarizing module 1 summarizes data of one or more broadband measurement devices in the plant, and the broadband measurement devices perform broadband measurement based on high-frequency sampling.
Furthermore, the historical data early warning module 2 performs statistical analysis on the fundamental wave, the inter-harmonic wave and the harmonic signal which are measured in real time according to a set time interval, marks the frequency and the amplitude of each fundamental wave, inter-harmonic wave and harmonic signal in the time interval and the maximum value and the minimum value of the phase measurement value, summarizes according to the measurement result of each time, and calculates the average value in the time range; summarizing and analyzing the statistical analysis results in a set time interval range according to the time dimension taking days as units, statistically analyzing the average values of the same fundamental wave, inter-harmonic wave and harmonic wave signals in the day range, sequencing according to the amplitude values of the inter-harmonic wave signals, summarizing and counting the inter-harmonic wave signals of which the amplitude values exceed a threshold value, and acquiring the harmonic wave distribution rule among the inter-harmonic wave signals; and according to the time dimension taking months as a unit, carrying out statistical analysis on the frequency and the amplitude of the typical inter-harmonic signal of each day, and determining the typical inter-harmonic distribution rule and the change characteristic of the electrical interval. And finally, comparing the amplitude of the typical inter-harmonic signal with the historical measurement value of the fundamental wave, and giving an oscillation early warning when the ratio of the amplitude of the typical inter-harmonic signal to the historical measurement value of the fundamental wave is greater than a threshold value A or N inter-harmonic threshold values are greater than B. Comparing and analyzing the distribution rule of the inter-harmonic signals of the electrical intervals, calculating the average value of the amplitudes of all the inter-harmonic signals, and taking the amplitude larger than the average value as a typical inter-harmonic signal; and carrying out oscillation early warning when a new inter-harmonic signal appears and the amplitude is larger than the historical typical inter-harmonic signal.
Furthermore, the oscillation impedance characteristic early warning module 3 calculates the inter-harmonic voltage amplitude and phase, the inter-harmonic current amplitude and phase corresponding to each frequency for all the monitored inter-harmonic signals to obtain the impedance value thereof, and identifies and early warns the frequency with the negative resistance characteristic in the actually measured impedance.
Furthermore, the oscillation change trend early warning module 4 firstly sorts the real-time measurement data of the broadband oscillation signals according to the magnitude of the amplitude of the inter-harmonic current, calculates an average value I _ Ave of the current amplitudes of each frequency, and then judges and warns the following two conditions: the early warning condition is as follows: continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement values are continuously increased and continue for N periods; and secondly, performing continuous comparison on the measurement result of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement value is continuously increased and the ratio of the measurement value to the oscillation alarm threshold reaches K. And judging the early warning condition I and the early warning condition II in parallel, and carrying out oscillation early warning when any condition is met.
The above-mentioned broadband oscillation early warning method based on measured data of the present invention is verified by practical cases.
And (5) acquiring and measuring the wide-frequency oscillation signals in the plant. Firstly, unified real-time measurement of fundamental waves, inter-harmonics and signals of a power grid is realized through high-frequency sampling. The sampling frequency is not lower than 12.8kHz, namely sampling is carried out by adopting not lower than 256 points/period, each electrical interval can be simultaneously accessed to three-phase voltage and three-phase current analog quantity signals, and all A/D sampling adopts a 16-bit analog-to-digital conversion chip, so that the precision of data sampling can be effectively improved. And classifying the collected signals, and calculating the amplitudes and phases of fundamental waves, inter-harmonics and harmonics within 0-2500Hz, wherein the calculated time window is 1s, and the frequency resolution of the inter-harmonics is 1 Hz. At present, the combination with actual requirements is only calculated to be within 2500Hz range, and actually, the sampling frequency of 12.8kHz can realize the measurement of fundamental wave, inter-harmonic wave and harmonic wave within 6400Hz range. In the scheme of the embodiment, the measured data are the amplitude of 1Hz, 2Hz and 3Hz … … 2500Hz and the phase thereof. A broadband measuring device is arranged at an electrical interval, a plurality of broadband measuring devices are arranged in a station, broadband measuring data are transmitted outwards in real time, and the broadband measuring processing units are gathered at the station section. The broadband measurement processing unit is a device on a station control layer in a plant station, and is used for summarizing measurement data of one or more broadband oscillation measurement devices in the whole plant station, and a specific deployment structure is shown in fig. 3, and is also used as a carrier for subsequent oscillation early warning system deployment.
And (4) oscillation early warning based on historical measurement data. The broadband measuring devices are deployed in the plant station, real-time measured data are timely transmitted to the plant station end to be gathered, and a plurality of broadband measuring devices accessed in the total station range are respectively gathered and analyzed. For each electrical interval, the measured data is statistically aggregated according to a set time range, for example, the time range is set to 5 minutes, that is, for each frequency signal, 300 measured data exist in 5 minutes, the 300 measured data are aggregated and analyzed, an average value is calculated, and a maximum value and a minimum value of the frequency in the time range are identified. 288 5-minute data were continuously summarized over the day to form a 24-hour day data curve. For example, for a 26Hz measurement, there would be one maximum, minimum and average every 5 minutes, and then 288 maximum, minimum and average values for 288 measurements, forming a curve, and the maximum, minimum and average values for 26Hz during the day could be calculated. By analogy, the statistical analysis results within the time ranges of 1 month, 2 months and the like are formed. It should be noted here that, for all frequency bands within the range of 0 to 2500Hz, there are statistical analysis results, which means that the measurement data of the conventional power grid are only for 50Hz power frequency signals, while in the embodiment of the present invention, the measurement is performed only for all frequency signals within the range of 0 to 2500Hz, specifically 1Hz, 2Hz, 3Hz, … … 2500 Hz. Therefore, according to historical measurement data, the typical inter-harmonic distribution rule of the measurement interval can be clearly determined, and the typical inter-harmonic, harmonic type, amplitude and change rule of the measurement interval can be clearly determined.
And analyzing typical inter-harmonic and harmonic signals obtained by real-time measurement data and historical statistical analysis, comparing the amplitude of the typical inter-harmonic signal with the historical measurement value of the fundamental wave, and giving an oscillation early warning when the ratio of the amplitude of the typical inter-harmonic to the historical measurement value of the fundamental wave is greater than a threshold value A or the threshold values of N inter-harmonics are greater than B. Where a is a percentage value, for example, a 26Hz inter-harmonic current of 3.4A and a fundamental current of 100A, the ratio of inter-harmonic to fundamental is 3.4%. The setting of a here can be flexibly adjusted according to the requirements, for example, set to 10%, etc. In the same way, B may be set to 5%, etc. The purpose of setting the threshold value a is statistical analysis, and if the amplitude of a single inter-harmonic current is too large, although there is no oscillation alarm, the threshold value a can also be used as a potential oscillation risk point to perform oscillation early warning. The early warning at this moment is more a warning, and the operating personnel can pay attention to the early warning in time. The purpose of setting the threshold value B is that although no obvious larger inter-harmonic amplitude exists, a plurality of inter-harmonic signals with certain amplitudes appear, the content is rich, the electric intervals can be judged to be electric intervals with potential risks in advance, oscillation early warning is carried out, operators are allowed to intervene in advance, and the number of inter-harmonics is further reduced.
In addition, comparing and analyzing the distribution rule of the inter-harmonic signals of the electrical intervals, calculating the average value of the amplitudes of all the inter-harmonic signals, and taking the signals with the amplitudes larger than the average value as typical inter-harmonic signals; and comparing and analyzing the electrical interval with real-time measurement data, wherein typical inter-harmonic distribution is well defined, and carrying out oscillation early warning when a new inter-harmonic signal is generated and is not in the range of the typical inter-harmonic signal and the amplitude of the inter-harmonic signal is larger than the average value of typical historical inter-harmonic signals.
The method is characterized in that oscillation early warning is carried out based on historical data, the electric interval with rich harmonic content in the daily operation process is aimed at, the electric interval can be used as a potential object aiming at risks in advance to pay important attention and carry out targeted control parameter adjustment, and the risk and the probability of oscillation are effectively reduced.
And early warning based on inter-harmonic impedance characteristics of the power grid. Based on real-time measurement data of fundamental waves, inter-harmonics and harmonics, the impedance value of each inter-harmonic is calculated mainly aiming at the amplitude and the phase of the voltage and the current of each inter-harmonic signal, the frequency with negative resistance characteristics in the actually measured impedance is identified and early warned, and the interval is determined to have oscillation risk at the frequency. The impedance is calculated according to
Wherein
Is a vector of voltages, including voltage magnitude and phase,
is a current vector, including the current magnitude and phase. The measured values of voltage and current corresponding to each frequency can be calculated, and the impedance value Z corresponding to each frequency can be calculated, and the result of the resistance R of the real part of the impedance value determines whether the oscillation risk exists. Because of the setting of the control parameters of the current electronics, the impedance characteristics of the power grid tend to assume negative values, which is a potential risk.
And (4) oscillation early warning based on real-time measurement data. And sequencing the real-time monitored inter-harmonic current according to the amplitude values of the real-time monitored fundamental wave, inter-harmonic and harmonic signals, averaging the amplitude values of all inter-harmonic measurement data to obtain an average value I _ Ave, and taking the frequency with the inter-harmonic amplitude value larger than the I _ Ave as a subsequent comparison and analysis object. And carrying out oscillation early warning on the inter-harmonic signal when the amplitude of the inter-harmonic signal is continuously increased and lasts for N cycles, wherein the cycle can be calculated according to the frequency, for example, the cycle of the 20Hz signal is 50ms, and N can be flexibly set according to the requirement, for example, 50. And when the inter-harmonic current amplitude of a certain frequency band is found to be rapidly increased and the ratio of the inter-harmonic current amplitude to the oscillation alarm threshold reaches K, carrying out oscillation early warning. Still taking the 20Hz inter-harmonic signal as an example, when its amplitude becomes large rapidly, the ratio of its amplitude to the threshold value of the oscillation alarm reaches K, where K is a percentage value, after the above-mentioned N (e.g. 50) cycles have not yet elapsed. For example, the threshold of the oscillation alarm is 5A, the inter-harmonic measurement value is 4A, the ratio of the time harmonic amplitude to the alarm threshold is 80%, if K is set to 80%, 80% is the threshold of the early warning, and the oscillation early warning should be immediately performed at this time to remind that the oscillation is about to occur and to perform the intervention in advance. In general, the oscillation early warning is carried out based on real-time measurement data, and the method mainly comprises two steps, wherein one step is that the amplitude of a certain inter-harmonic signal continuously increases for N periods, the other step is that the amplitude of a certain inter-harmonic signal rapidly increases and reaches a threshold of early warning, the two modes complement each other, the oscillation early warning is triggered in parallel, and the oscillation early warning is triggered when any one condition is met.
At present, oscillation monitoring is mainly realized in a dispatching master station through a WAMS system, and only oscillation below 50H can be monitored, and the monitoring of medium and high frequency oscillation above 50Hz cannot be met. Although the broadband measuring device can realize real-time monitoring of oscillation within the range of 0-2500Hz, the oscillation based on the broadband measuring device can only be passively monitored after the oscillation occurs in the whole industry, and an active early warning means is lacked. Although potential oscillation risk points of the power grid can be calculated and analyzed based on power grid simulation, a model of the power electronic equipment has no related modeling method at home and abroad, and the power grid oscillation risk cannot be accurately evaluated. In addition, the operation mode of the power grid is continuously changed, and the simulation analysis of the power grid is only suitable for the planning and design stage of the power grid and cannot provide risk early warning for the real-time operation of the power grid. The broadband oscillation early warning method and the broadband oscillation early warning system provided by the invention are based on broadband measurement data, can monitor and evaluate the oscillation risk in real time at a station end and carry out early warning, and can change the passive response of the existing oscillation monitoring into active prevention and intervention, thereby avoiding or reducing the occurrence of oscillation and effectively ensuring the operation safety of a power grid.
Example 3
Another embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the wideband oscillation warning method based on metrology data. The computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice. For convenience of explanation, the above description only shows the relevant parts of the embodiments of the present invention, and the detailed technical details are not disclosed, please refer to the method parts of the embodiments of the present invention. The computer-readable storage medium is non-transitory, and may be stored in a storage device formed by various electronic devices, and is capable of implementing the execution process described in the method of the embodiment of the present invention.
Example 4
Another embodiment of the present invention further provides a server, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the wideband oscillation warning method based on metrology data. Similarly, for convenience of explanation, the above description only shows the relevant parts of the embodiments of the present invention, and the detailed technical details are not disclosed, please refer to the method parts of the embodiments of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (13)
1. An oscillation early warning method based on measurement data is characterized by comprising the following steps:
summarizing real-time measurement data of broadband oscillation signals in the station, and carrying out oscillation early warning through any one or more of the following three ways:
a, storing real-time measurement data of broadband oscillation signals gathered in a station, performing statistical analysis on broadband measurement historical data formed by the real-time measurement data of the broadband oscillation signals, finding out an inter-harmonic distribution rule, and performing oscillation early warning on an electrical interval with an abnormal inter-harmonic distribution rule;
b. analyzing the impedance characteristics of inter-harmonic frequency bands of each electrical interval in the station based on the real-time measurement data of the broadband oscillation signals, and carrying out oscillation early warning on the electrical interval with negative impedance;
c. and determining the variation trend of the oscillation signal based on the real-time measurement data of the broadband oscillation signal of each electrical interval in the station and carrying out oscillation early warning.
2. The oscillation warning method based on measured data as claimed in claim 1, wherein the step of summarizing the real-time measurement data of the broadband oscillation signals in the plant station comprises the following steps: data of one or more broadband measuring devices in the plant are collected in the plant, and the broadband measuring devices perform broadband measurement based on high-frequency sampling.
3. The oscillation warning method based on measured data of claim 1, wherein the real-time measurement data of the broadband oscillation signal comprises frequency, amplitude and phase measurement data of fundamental wave, inter-harmonic and harmonic signals of a power grid;
the statistical analysis of the broadband measurement historical data formed by the real-time measurement data of the broadband oscillation signals and the finding of the inter-harmonic distribution rule comprise the following steps:
carrying out statistical analysis on the real-time measurement data of the broadband oscillation signals of the electrical intervals in the plant station according to a set time interval, marking the frequency and amplitude of fundamental wave, inter-harmonic wave and harmonic wave signals of each power grid and the maximum value and the minimum value of phase measurement data in the time interval, summarizing measurement results every time, and calculating an average value in the time interval;
for each electrical interval, summarizing and analyzing statistical analysis results in a set time interval according to a time dimension taking days as a unit, statistically analyzing average values of fundamental waves, inter-harmonics and harmonic signals of the same power grid in a range of one day, sequencing according to amplitude values of the inter-harmonic signals, summarizing and counting the inter-harmonic signals of which the amplitude values exceed a threshold value, and acquiring an inter-harmonic distribution rule;
and for each electrical interval, carrying out statistical analysis on the frequency and the amplitude of the typical inter-harmonic signal of each day in the month according to the time dimension taking the month as a unit, and determining the typical inter-harmonic distribution rule and the change characteristic.
4. The oscillation warning method based on measured data as claimed in claim 3, wherein the oscillation warning of the electrical interval with abnormal inter-harmonic distribution rule comprises the following steps:
comparing the amplitude of the typical inter-harmonic signal of each electrical interval with the historical measurement value of the fundamental wave of the typical inter-harmonic signal, and giving an oscillation early warning to the corresponding electrical interval when the ratio of the amplitude to the typical inter-harmonic signal of each electrical interval is greater than a threshold value A or the threshold value of a preset number of inter-harmonics is greater than B;
and comparing and analyzing the inter-harmonic distribution rule of each electrical interval, and giving an oscillation early warning to the corresponding electrical interval when a new inter-harmonic signal appears and the amplitude is greater than the historical typical inter-harmonic signal.
5. The oscillation warning method based on measurement data as claimed in claim 1, wherein the analyzing impedance characteristics of inter-harmonic frequency bands of each electrical interval in the plant station based on the real-time measurement data of the broadband oscillation signal, and the oscillation warning of the electrical interval with negative impedance comprises the following steps:
and aiming at all the measured inter-harmonic signals, calculating the inter-harmonic voltage amplitude and phase, the inter-harmonic current amplitude and phase corresponding to each frequency to obtain the impedance value of the inter-harmonic voltage amplitude and phase, identifying the frequency with negative resistance characteristics in the impedance value and giving oscillation early warning corresponding to the electrical interval.
6. The oscillation early warning method based on measured data as claimed in claim 1, wherein the step of determining the oscillation signal variation trend and performing oscillation early warning based on the real-time measurement data of the broadband oscillation signals of each electrical interval in the plant station comprises the following steps:
sequencing real-time measurement data of the broadband oscillation signals according to the amplitude of inter-harmonic current, and solving an average value I _ Ave of the current amplitudes of all frequencies;
continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement results are continuously increased and continue for N periods; or when the measurement result is continuously increased and the ratio of the measurement result to the oscillation alarm threshold value reaches K, carrying out oscillation early warning.
7. An oscillation early warning system based on measured data, characterized by comprising:
the data measurement and summary module is used for summarizing the real-time measurement data of the wide-frequency oscillation signals in the plant;
the historical data early warning module is used for storing the broadband oscillation signal real-time measurement data collected in the plant station, performing statistical analysis on the broadband measurement historical data formed by the broadband oscillation signal real-time measurement data, finding out an inter-harmonic distribution rule and performing oscillation early warning on an electrical interval with an abnormal inter-harmonic distribution rule;
the oscillation impedance characteristic early warning module is used for analyzing the impedance characteristics of inter-harmonic frequency bands of all electrical intervals in the station based on the real-time measurement data of the broadband oscillation signals and carrying out oscillation early warning on the electrical intervals with negative impedance;
and the oscillation change trend early warning module is used for determining the oscillation signal change trend based on the broadband oscillation signal real-time measurement data of each electrical interval in the station and carrying out oscillation early warning.
8. The metrology data-based oscillation warning system of claim 7, wherein: the broadband oscillation signal real-time measurement data summarized by the data measurement summarizing module comprises frequency, amplitude and phase measurement data of power grid fundamental wave, inter-harmonic wave and harmonic wave signals;
the historical data early warning module carries out statistical analysis on the broadband measurement historical data formed by the broadband oscillation signal real-time measurement data in the following mode to find out the inter-harmonic distribution rule:
carrying out statistical analysis on the real-time measurement data of the broadband oscillation signals of the electrical intervals in the plant station according to a set time interval, marking the frequency and amplitude of fundamental wave, inter-harmonic wave and harmonic wave signals of each power grid and the maximum value and the minimum value of phase measurement data in the time interval, summarizing measurement results every time, and calculating an average value in the time interval;
for each electrical interval, summarizing and analyzing statistical analysis results in a set time interval according to a time dimension taking days as a unit, statistically analyzing average values of fundamental waves, inter-harmonics and harmonic signals of the same power grid in a range of one day, sequencing according to amplitude values of the inter-harmonic signals, summarizing and counting the inter-harmonic signals of which the amplitude values exceed a threshold value, and acquiring an inter-harmonic distribution rule;
and for each electrical interval, carrying out statistical analysis on the frequency and the amplitude of the typical inter-harmonic signal of each day in the month according to the time dimension taking the month as a unit, and determining the typical inter-harmonic distribution rule and the change characteristic.
9. The metrology data-based oscillation warning system of claim 8, wherein: when the historical data early warning module carries out oscillation early warning on the electrical intervals with abnormal inter-harmonic distribution rules, the amplitude of a typical inter-harmonic signal of each electrical interval is compared with the historical measurement value of the fundamental wave of the electrical interval, and when the ratio of the amplitude to the typical inter-harmonic signal of each electrical interval is greater than a threshold value A or the threshold value of a preset number of inter-harmonics is greater than a threshold value B, the oscillation early warning corresponding to the electrical interval is given;
and comparing and analyzing the inter-harmonic distribution rule of each electrical interval, and giving an oscillation early warning to the corresponding electrical interval when a new inter-harmonic signal appears and the amplitude is greater than the historical typical inter-harmonic signal.
10. The metrology data-based oscillation warning system of claim 7, wherein: the oscillation impedance characteristic early warning module analyzes the impedance characteristic of inter-harmonic frequency bands of each electrical interval in the station based on the real-time measurement data of the broadband oscillation signals, calculates inter-harmonic voltage amplitude and phase, inter-harmonic current amplitude and phase corresponding to each frequency to obtain an impedance value of the inter-harmonic voltage amplitude and phase, and identifies the frequency with negative resistance characteristics in the impedance value and gives oscillation early warning to the corresponding electrical interval when oscillation early warning is carried out on the electrical interval with negative impedance.
11. The metrology data-based oscillation warning system of claim 7, wherein: the oscillation change trend early warning module is used for sequencing the broadband oscillation signal real-time measurement data according to the amplitude of inter-harmonic current when determining the oscillation signal change trend and carrying out oscillation early warning based on the broadband oscillation signal real-time measurement data of each electrical interval in the station, and solving an average value I _ Ave of the current amplitude of each frequency;
continuously comparing the measurement results of which the inter-harmonic current amplitude is larger than the average value I _ Ave, and performing oscillation early warning when the measurement results are continuously increased and continue for N periods; or when the measurement result is continuously increased and the ratio of the measurement result to the oscillation alarm threshold value reaches K, carrying out oscillation early warning.
12. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, implements the method for oscillation warning based on metrology data according to any one of claims 1 to 6.
13. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the method for oscillation warning based on metrology data as claimed in any one of claims 1 to 6.
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