CN110474365B - Thermal power generating unit power oscillation online early warning analysis method and system - Google Patents
Thermal power generating unit power oscillation online early warning analysis method and system Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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Abstract
The invention provides a thermal power unit power oscillation online early warning analysis method and a system, wherein the method comprises the following three steps of: acquiring and calculating power oscillation key parameters in real time; step 2: monitoring and early warning of power oscillation are realized according to the active power oscillation index; and step 3: determining a power oscillation influencing factor. The method comprises the steps of 2-3, a power oscillation 3-level alarm mechanism is arranged, real-time monitoring and early warning of power oscillation are achieved through analysis and judgment of an active power oscillation mode of the unit, the relation between power closed-loop control, primary frequency modulation and power oscillation is rapidly determined through deduction and calculation according to the active power, a total valve position instruction and a unit rotating speed oscillation mode index, operation adjustment of the unit is guided, rapid prevention and control of power oscillation are achieved, and finally safe and stable operation of the unit and a power grid is guaranteed.
Description
Technical Field
The invention belongs to the field of online monitoring of grid-related performance of a thermal power generating unit, and particularly relates to an online early warning analysis method and system for power oscillation of the thermal power generating unit.
Background
The power oscillation of the thermal power generating unit not only affects the safety and stability of the unit, but also can cause the low-frequency oscillation of the power grid to endanger the safety of the power grid in severe cases and even cause the disconnection of the power grid. The defects of the thermal power generating unit speed regulator are important reasons for generating unit power oscillation, and researches show that the unit power oscillation is possibly caused by non-ideal valve flow characteristics, unreasonable primary frequency modulation parameter setting and improper power control parameter setting.
Existing studies are based on post-hoc analysis and involve a large number of calculations, and cannot determine influencing factors and give control measures quickly after power oscillations have occurred. For a grid-connected thermal power generating unit, how to quickly find oscillation and take effective measures after power oscillation occurs is of great significance for avoiding the deterioration of the power oscillation so as to harm the safety and stability of the unit and a power grid.
Disclosure of Invention
The invention aims to solve the technical problem of providing a thermal power unit power oscillation online early warning analysis method and system aiming at the defects of the prior art. By using the method, the power variation trend of the unit can be monitored in real time, the power oscillation index is calculated, the power oscillation influence factors are analyzed and determined, and finally the early warning and the control of the power oscillation are effectively and quickly realized.
According to one aspect of the invention, an on-line early warning analysis method for power oscillation of a thermal power generating unit is provided, which comprises the following steps:
step 1: real-time acquisition and calculation of power oscillation key parameters
Acquiring power oscillation key parameters in real time, and calculating to obtain an active power mode oscillation mode data set, a total valve position instruction oscillation mode data set and a processing rotating speed oscillation mode data set; the data elements in all data sets include frequency, amplitude, damping ratio;
step 2: power oscillation monitoring and early warning according to active power oscillation index
Step 2.1: setting a power oscillation suspicion degree index fi，
If D is less than 0, n is 0; if D is not less than 0, n is 1; wherein A represents an oscillation mode amplitude, f represents an oscillation mode frequency, and D represents an oscillation mode damping ratio;
step 2.2: setting a power oscillation amplitude threshold A*Damping ratio threshold value D*Frequency interval f of power oscillation*Calculating according to the power oscillation suspected degree index obtained in the step 2.1Formula-derived power oscillation suspicion degree reference value fi *，
Step 2.3: setting a power oscillation 3-level alarm mechanism, namely 'existence of power oscillation condition', 'suspected power oscillation' and 'occurrence of power oscillation', which are defined as follows:
a) "power oscillation condition exists": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥0.8fi *；
b) "suspected power oscillation": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥fi *；
c) "power oscillation occurs": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥fi *And A is more than or equal to A*、D≤D*；
Step 2.4: searching all data elements in the active power oscillation mode data set, and triggering corresponding types of alarms if the data elements meet any one alarm condition of power oscillation defined in the step 2.3;
and step 3: determining power oscillation influencing factors
Step 3.1: if any of the alarms defined in step 2.3 is triggered, then the frequency of the data element is within the power oscillation frequency interval f*And its power oscillation suspicion degree index fiSearching an active power oscillation mode data set according to the maximum principle to obtain a leading element { f ] of the active power oscillation mode data setP max，AP max，DP max}；
Step 3.2: if any of the alarms defined in step (2.3) is triggered, then press "Data element power oscillation suspicion degree index fiSearching a total valve position instruction oscillation mode data set and processing a rotating speed oscillation mode data set according to the maximum principle to obtain a leading element { f ] of the total valve position instruction oscillation mode data setF max，AF max，DF maxAnd dominant elements { f) of the processing rotational speed oscillation mode data setW max，AW max，DW max}；
Step 3.3: if fP max-fF max|≤C1And A isF max≥C2In which C is1And C2If the values are all the manually set threshold values which are more than or equal to zero, judging that the power closed-loop control of the thermal power generating unit is related to power oscillation, and recommending to cut off a power closed-loop control circuit;
step 3.4: if fW max-fF max|≤C3And A isW max≥C4In which C is3And C4If the primary frequency modulation is larger than or equal to zero, judging that the primary frequency modulation of the thermal power generating unit is related to power oscillation, and suggesting to cut off a primary frequency modulation control loop.
In another embodiment, the step 1 specifically includes:
step 1.1: acquiring active power, a total valve position instruction and a unit rotating speed of the thermal power generating unit by using a high-speed data acquisition device;
step 1.2: periodically extracting the active power, the total valve position instruction and the unit rotating speed obtained in the step 1.1 in a latest certain time period as an active power, a total valve position instruction and a unit rotating speed data set, calculating oscillation indexes of the active power data set and the total valve position instruction data set by adopting a Prony algorithm to obtain an active power mode oscillation mode data set and a total valve position instruction oscillation mode data set, wherein data elements in the data sets comprise frequency, amplitude and damping ratio;
step 1.3: setting the processing rotating speed data set as a set rotating speed data set-rated rotating speed obtained in the step 1.2, setting a processing rotating speed data dead zone as DB, and setting DB as a positive number, and when the absolute value of an element in the processing rotating speed data set is less than or equal to DB, setting the element as 0; when the processing rotating speed data set element is larger than DB, the element is equal to an element original value DB; when the processing rotating speed data set element is less than DB, making the element equal to the element original value + DB;
step 1.4: and (3) calculating the oscillation index of the processing rotating speed data set obtained in the step 1.3 by adopting a Prony algorithm to obtain a processing rotating speed oscillation mode data set.
In another embodiment, the sampling rate of the acquisition device in the step 1.1 is not lower than 50Hz, the time period Δ T of the periodic sampling in the step 1.2 is set to be 5-10 seconds, the rated rotation speed in the step 1.3 is set to be 3000r/min, and the processing rotation speed data dead zone DB is set to be 2 r/min.
In another embodiment, step 3.3 is C1Has a value range of 0.1, C2The value range of (1), C in the step 3.43Has a value range of 0.1, C4The value range of (a) is 1.
In another aspect, the present invention further discloses an online pre-warning analysis system for power oscillation of a thermal power generating unit, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, and the processor calls the program instructions to perform any one of the online early warning analysis methods described above.
In another aspect, the present invention also discloses a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the online early warning analysis method of any one of the above.
The invention has the advantages that a power oscillation 3-level alarm mechanism is arranged, real-time monitoring and early warning of power oscillation are realized through analysis and judgment of an active power oscillation mode of a thermal power generating unit, and the relation between power closed-loop control, primary frequency modulation and power oscillation is quickly determined through deduction and calculation according to the active power, a total valve position instruction and a unit rotating speed oscillation mode index, so that the operation and adjustment of the thermal power generating unit are guided, the quick prevention and control of the power oscillation are realized, and the safe and stable operation of the thermal power generating unit and a power grid is finally ensured.
Drawings
FIG. 1 is a flow chart of a control method of the thermal power unit power oscillation online early warning analysis method of the invention;
FIG. 2 is a diagram of a real object of a thermal power unit power oscillation online early warning analysis system developed by the present invention;
FIG. 3 is a data acquisition interface of active power, total valve position command, and unit rotation speed of the thermal power unit of the present invention;
fig. 4 is a data correlation analysis interface of the thermal power unit power oscillation online early warning analysis method of the invention.
Detailed Description
The present invention will be described more fully hereinafter with reference to the accompanying drawings and examples, in which the technical problems and advantages of the present invention are solved, wherein the described examples are only intended to facilitate the understanding of the present invention, and are not to be construed as limiting in any way.
As shown in fig. 1, according to an aspect of the present invention, an online early warning analysis method for power oscillation of a thermal power generating unit includes the following steps:
(1) real-time acquisition and calculation of power oscillation key parameters
And (1.1) acquiring the active power, the total valve position instruction and the unit rotating speed of the thermal power unit by using a high-speed data acquisition device (the sampling rate is not lower than 50 Hz).
And (1.2) periodically extracting the active power, the total valve position instruction and the unit rotating speed obtained in the step (1.1) in a certain latest time period (the time period delta T is usually set to be 5-10 seconds) as an active power, a total valve position instruction and a unit rotating speed data set, calculating oscillation indexes of the active power data set and the total valve position instruction data set by adopting a conventional algorithm of estimating given signals such as Prony and the like to obtain an active power and total valve position instruction oscillation mode data set, wherein data elements of the data set consist of frequency, amplitude and damping ratio.
(1.3) making the processing rotating speed data set equal to the set rotating speed data set-rated rotating speed (usually 3000r/min) obtained in the step (1.2), setting a processing rotating speed data dead zone as DB (DB is a positive number, usually 2r/min), and making an element equal to 0 when the absolute value of the element of the processing rotating speed data set is less than or equal to DB; when the processing rotating speed data set element is larger than DB, the element is equal to an element original value DB; and when the processing rotating speed data set element is less than DB, the element is equal to the element original value + DB.
And (1.4) calculating the oscillation indexes of the processing rotating speed data set obtained in the step (1.3) by using a conventional algorithm such as Prony and the like to obtain a processing rotating speed oscillation mode data set (the data elements consist of frequency, amplitude and damping ratio).
(2) Power oscillation monitoring and early warning according to active power oscillation index
(2.1) setting a power oscillation suspicion degree index fi，
(when D < 0, n ≧ 0; D ≧ 0, n ═ 1), where A denotes the oscillation mode amplitude, f denotes the oscillation mode frequency, and D denotes the oscillation mode damping ratio.
(2.2) setting a power oscillation amplitude threshold A*Damping ratio threshold value D*Frequency interval f of power oscillation*Obtaining a power oscillation suspected degree reference value f according to the power oscillation suspected degree index calculation formula obtained in the step (2.1)i *，
(2.3) setting a power oscillation 3-level alarm mechanism, namely, respectively setting a power oscillation existence condition, a suspected power oscillation and a power oscillation occurrence condition of three levels with different strictness degrees, wherein the power oscillation existence condition is defined as: the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥0.8fi *(ii) a "suspected power oscillation": number of active power oscillation modesFrequency of at least one element in the data set in power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥fi *(ii) a "power oscillation occurs": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*In the power oscillation suspicion index fi≥fi *And A is more than or equal to A*、D≤D*。
And (2.4) searching all elements in the active power oscillation mode data set, and triggering corresponding types of alarms if the elements meet any alarm condition of power oscillation defined in the step (2.3).
(3) Determining power oscillation influencing factors
(3.1) if any one of the alarms defined in step (2.3) is triggered, then according to the frequency of the data element in the power oscillation frequency interval f*And its power oscillation suspicion degree index fiSearching the active power oscillation mode data set to the maximum to obtain the leading element { f ] of the active power oscillation mode data setP max，AP max，DP max}。
(3.2) if any one of the alarms defined in step (2.3) is triggered, pressing the index f of the suspected degree of power oscillation of the data elementiSearching a total valve position instruction oscillation mode data set at maximum, processing a rotating speed oscillation mode data set to obtain a leading element { f ] of the total valve position instruction oscillation mode data setF max，AF max，DF maxProcessing dominant elements { f of a rotating speed oscillation mode data setW max，AW max，DW max}。
(3.3) if | fP max-fF max|≤C1(C1Is to manually set the threshold value 1, C3Not less than 0) and AF max≥C2(C2Is to manually set the threshold value 2, C3And if the current value is more than or equal to 0), judging that the closed-loop power control of the thermal power generating unit is related to power oscillation, and recommending to cut off a closed-loop power control loop.
(3.4) if | fW max-fF max|≤C3(C3Is to manually set the threshold value 3, C3Not less than 0) and AW max≥C4(C4Is to manually set a threshold value of 4, C3And if the frequency is more than or equal to 0), judging that the primary frequency modulation of the thermal power generating unit is related to power oscillation, and recommending to cut off a primary frequency modulation control loop.
The online early warning analysis method described above may be converted into program instructions, either implemented using an online early warning analysis system comprising a processor and a memory, or implemented by computer instructions stored in a non-transitory computer-readable storage medium.
Each step of the thermal power unit power oscillation online early warning analysis method is described in detail below by using an embodiment, specifically, an 362.5MW subcritical thermal power unit is used as an implementation object, and power oscillation of the thermal power unit is subjected to online early warning and analysis by the method of the present invention, the method is already built in a thermal power unit power oscillation online early warning analysis system (hereinafter referred to as a system) developed by the present invention, a specific real object diagram of the method is shown in fig. 2, and the early warning analysis method specifically includes the following steps (1) to (3):
(1) real-time acquisition and calculation of power oscillation key parameters
(1.1) acquiring active power, a total valve position instruction and a unit rotating speed of the thermal power unit by using a system (the sampling rate is 100Hz), wherein a data acquisition interface is shown in figure 3;
(1.2) extracting active power, a total valve position instruction and a unit rotating speed which are acquired by a system within the last 10 seconds at intervals of 10s to serve as an active power, a total valve position instruction and a unit rotating speed data set, and calculating oscillation indexes of the active power data set and the total valve position instruction data set by adopting a Prony algorithm to obtain an active power and total valve position instruction oscillation mode data set;
(1.3) setting the processing rotating speed data set to be 3000r/min of the set rotating speed data set obtained in the step (1.2), setting a processing rotating speed data dead zone to be 2r/min, and setting the element to be 0 when the absolute value of the element in the processing rotating speed data set is less than or equal to 2 r/min; when the processing speed data set element is more than 2r/min, making the element equal to the element original value-2 r/min; when the processing speed data set element is less than 2r/min, making the element equal to the element original value +2 r/min;
(1.4) calculating the oscillation index of the processing rotating speed data set obtained in the step (1.3) by adopting a Prony algorithm to obtain a processing rotating speed oscillation mode data set;
(2) power oscillation monitoring and early warning according to active power oscillation index
(2.1) setting a power oscillation suspected degree index
(2.2) setting a power oscillation amplitude threshold A*10MW, damping ratio threshold D *3%, power oscillation frequency interval f*In [ 0.12.5 ]]Hz (i.e., 0.1-2.5 Hz) according to the following formula
Calculating power oscillation suspected degree reference value fi *＝8.281；
(2.3) searching the active power oscillation mode dataset when there is an element with a frequency f of 0.195Hz at [ 0.12.5 ]]Within Hz, the power oscillation suspicion index fi12.615 > 8.281 and A12.616 > A*＝10MW、D＝-0.008％＜D*If the power oscillation occurs, the alarm condition of 'power oscillation' is met, and an alarm is triggered;
(3) determining power oscillation influencing factors
(3.1) in the Power oscillation frequency interval f according to the frequency of the data element*And its power oscillation suspicion degree index fiSearching the active power oscillation mode data set according to the maximum principle to obtain the leading element { f ] of the active power oscillation mode data setP max＝0.195，AP max＝12.616，DP max＝-0.008％}；
(3.2) according to the index f of the suspected degree of power oscillation of the data elementsiMaximum principle for searching total valve position instruction oscillation mode data set and processing number of rotating speed oscillation modesAccording to the data set, leading elements { f ] of the total valve position instruction oscillation mode data set are obtainedF max＝0.195，AF max＝4.326，DF max-2.01% }, dominant element { f of processing rotational speed oscillation mode data setW max＝0.208，AW max＝1.374，DW max＝3.423％}；
(3.3)|fP max-fF max|＝0＜C1(this season C)10.1) and AF max＝4.326＞C2(this season C)21), the system judges that the power closed-loop control of the thermal power generating unit is related to power oscillation, and a power closed-loop control loop is recommended to be cut off;
(3.4) if | fW max-fF max|＝0.013＜C3(this season C)30.1) and AW max＝1.374＞C4(this season C)40.5), thereby judging that the primary frequency modulation of the thermal power generating unit is related to power oscillation, and suggesting to cut off a primary frequency modulation control loop.
In practical situations, cases in which primary frequency modulation and closed-loop control cause power oscillation at the same time are common, so that the case data in which the primary frequency modulation and the closed-loop control cause power oscillation at the same time are used for early warning analysis, so that the cases are representative.
According to experience, the value range of C1 can be set to be 0-0.2, the value range of C2 is not less than 0.5, and C is set3Has a value range of 0 to 0.2, C4The value range of (A) is more than or equal to 0.5.
As shown in fig. 4, after the system determines that the thermal power unit power closed-loop control is related to power oscillation or the thermal power unit primary frequency modulation is related to power oscillation, the indicator light is changed from the blue light indicating that the right side is irrelevant to the blue light indicating that the left side is relevant to the red light indicating that the operator is advised and reminded to cut off the power closed-loop control circuit or the primary frequency modulation control circuit, so that the safe and stable online operation of the thermal power unit and the power grid is ensured.
Finally, the description is as follows: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (6)
1. An on-line early warning analysis method for power oscillation of a thermal power generating unit is characterized by comprising the following steps:
step 1: real-time acquisition and calculation of power oscillation key parameters
Acquiring power oscillation key parameters in real time, and calculating to obtain an active power mode oscillation mode data set, a total valve position instruction oscillation mode data set and a processing rotating speed oscillation mode data set; the data elements in all data sets include frequency, amplitude, damping ratio;
step 2: power oscillation monitoring and early warning according to active power oscillation index
Step 2.1: setting a power oscillation suspicion degree index fi，
If D is less than 0, n is 0; if D is not less than 0, n is 1; wherein A represents an oscillation mode amplitude, f represents an oscillation mode frequency, and D represents an oscillation mode damping ratio;
step 2.2: setting a power oscillation amplitude threshold A*Damping ratio threshold value D*Frequency interval f of power oscillation*According to the power oscillation suspected degree index calculation formula obtained in the step 2.1, a power oscillation suspected degree reference value f can be obtainedi *，
Step 2.3: setting a power oscillation 3-level alarm mechanism, namely 'existence of power oscillation condition', 'suspected power oscillation' and 'occurrence of power oscillation', which are defined as follows:
a) "power oscillation condition exists": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥0.8fi *；
b) "suspected power oscillation": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥fi *；
c) "power oscillation occurs": the frequency of at least one element in the active power oscillation mode data set is in a power oscillation frequency interval f*And its power oscillation suspicion degree index fi≥fi *And A is more than or equal to A*、D≤D*；
Step 2.4: searching all data elements in the active power oscillation mode data set, and triggering corresponding types of alarms if the data elements meet any one alarm condition of power oscillation defined in the step 2.3;
and step 3: determining power oscillation influencing factors
Step 3.1: if any of the alarms defined in step 2.3 is triggered, then the frequency of the data element is within the power oscillation frequency interval f*And its power oscillation suspicion degree index fiSearching an active power oscillation mode data set according to the maximum principle to obtain a leading element { f ] of the active power oscillation mode data setP max，AP max，DP max}; the superscript P represents the variable index of the active power, i.e. fP max，AP max，DP maxRespectively representing the maximum value of the oscillation mode frequency of the active power, the maximum value of the oscillation mode amplitude of the active power and the maximum value of the oscillation mode damping ratio of the active power;
step 3.2: if any alarm defined in step (2.3) is triggered, then the index f of the suspected degree of power oscillation of the data element is usediMaximum principle search for gross valve position command oscillationsProcessing the rotation speed oscillation mode data set to obtain a leading element { f of the total valve position instruction oscillation mode data setF max，AF max，DF maxAnd dominant elements { f) of the processing rotational speed oscillation mode data setW max，AW max，DW max}; superscript F, W represents the variable designations of total valve position command, process speed, respectively, i.e., fF max，AF max，DF maxF is the maximum value of the oscillation mode frequency of the total valve position command, the maximum value of the oscillation mode amplitude of the total valve position command and the maximum value of the oscillation mode damping ratio of the total valve position commandW max，AW max，DW maxRespectively representing the maximum value of the oscillation mode frequency of the processing rotating speed, the maximum value of the oscillation mode amplitude of the processing rotating speed and the maximum value of the oscillation mode damping ratio of the processing rotating speed;
step 3.3: if fP max-fF max|≤C1And A isF max≥C2In which C is1And C2If the values are all the manually set threshold values which are more than or equal to zero, judging that the power closed-loop control of the thermal power generating unit is related to power oscillation, and recommending to cut off a power closed-loop control circuit;
step 3.4: if fW max-fF max|≤C3And A isW max≥C4In which C is3And C4If the primary frequency modulation is larger than or equal to zero, judging that the primary frequency modulation of the thermal power generating unit is related to power oscillation, and suggesting to cut off a primary frequency modulation control loop.
2. The on-line early warning analysis method according to claim 1, wherein the step 1 specifically comprises:
step 1.1: acquiring active power, a total valve position instruction and a unit rotating speed of the thermal power generating unit by using a high-speed data acquisition device;
step 1.2: periodically extracting the active power, the total valve position instruction and the unit rotating speed obtained in the step 1.1 in a latest certain time period as an active power, a total valve position instruction and a unit rotating speed data set, calculating oscillation indexes of the active power data set and the total valve position instruction data set by adopting a Prony algorithm to obtain an active power mode oscillation mode data set and a total valve position instruction oscillation mode data set, wherein data elements in the data sets comprise frequency, amplitude and damping ratio;
step 1.3: setting the processing rotating speed data set as a set rotating speed data set-rated rotating speed obtained in the step 1.2, setting a processing rotating speed data dead zone as DB, and setting DB as a positive number, and when the absolute value of an element in the processing rotating speed data set is less than or equal to DB, setting the element as 0; when the processing rotating speed data set element is larger than DB, the element is equal to an element original value DB; when the processing rotating speed data set element is less than DB, making the element equal to the element original value + DB;
step 1.4: and (3) calculating the oscillation index of the processing rotating speed data set obtained in the step 1.3 by adopting a Prony algorithm to obtain a processing rotating speed oscillation mode data set.
3. The on-line early warning analysis method according to claim 2, wherein the sampling rate of the acquisition device in the step 1.1 is not lower than 50Hz, the time period Δ T of the periodic sampling in the step 1.2 is set to be 5-10 seconds, the rated rotating speed in the step 1.3 is set to be 3000r/min, and the processing rotating speed data dead zone DB is set to be 2 r/min.
4. The on-line early warning analysis method according to claim 1, wherein C in the step 3.31Has a value range of 0 to 0.2, C2The value range of (A) is more than or equal to 0.5, and C in the step 3.43Has a value range of 0 to 0.2, C4The value range of (A) is more than or equal to 0.5.
5. The utility model provides an online early warning analytic system of thermal power unit power oscillation which characterized in that includes:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the online early warning analysis method of any of claims 1 to 4.
6. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the online early warning analysis method according to any one of claims 1 to 4.
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| CN101557110A (en) * | 2009-06-26 | 2009-10-14 | 国网电力科学研究院 | On-line analysis and aid decision making method for low-frequency oscillation of electric power system |
| CN101609112A (en) * | 2009-07-13 | 2009-12-23 | 清华大学 | Node phase relation identification method of electric system based on wide area measurement noise signal |
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| CN110048436A (en) * | 2019-04-30 | 2019-07-23 | 国家能源投资集团有限责任公司 | Power grid frequency modulation control method and device |
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| US9876356B2 (en) * | 2014-10-02 | 2018-01-23 | Mitsubishi Electric Research Laboratories, Inc. | Dynamic and adaptive configurable power distribution system |
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| CN101557110A (en) * | 2009-06-26 | 2009-10-14 | 国网电力科学研究院 | On-line analysis and aid decision making method for low-frequency oscillation of electric power system |
| CN101609112A (en) * | 2009-07-13 | 2009-12-23 | 清华大学 | Node phase relation identification method of electric system based on wide area measurement noise signal |
| CN102170126A (en) * | 2011-04-06 | 2011-08-31 | 华中电网有限公司 | Online analysis and early warning method for low-frequency oscillation of electric power system |
| CN102411118A (en) * | 2011-12-01 | 2012-04-11 | 武汉华中电力电网技术有限公司 | Method for judging position of disturbance source for forced power oscillation in regional interconnected power grid |
| CN110048436A (en) * | 2019-04-30 | 2019-07-23 | 国家能源投资集团有限责任公司 | Power grid frequency modulation control method and device |
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