CN112952810A - Wind power transient process dividing method and device - Google Patents
Wind power transient process dividing method and device Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention relates to a wind power transient process dividing method and device, comprising the following steps: the method comprises the steps of determining a transient state subinterval of the wind power plant according to a first-order difference array corresponding to a sampling data array of the wind power plant, and dividing the transient state subinterval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient state subinterval of the wind power plant.
Description
Technical Field
The invention relates to the field of self-adaptive division of a transient state interval of a dynamic response curve of a wind power plant and online calculation of grid connection performance, in particular to a wind power transient state process division method and device.
Background
In recent years, with the continuous development of wind power technology and the rapid increase of the scale of wind power installed machines, the power grid form of a high-proportion wind power system is formed in regions with abundant wind resources in China. Compared with the traditional thermal power, the wind power is weak in support, the grid connection characteristic is insufficient, and the safety stability of the high-proportion wind power system is gradually weakened along with the continuous increase of the wind power proportion. In order to improve the safety and stability of the wind power system and accurately calculate the grid-connected performance of the wind power system, the transient interval of the response curve needs to be accurately divided.
At present, a method for distinguishing transient processes of data (current, voltage, active power, reactive power and the like) response curves is mainly determined by combining visual observation with relevant test evaluation standards by people and is difficult to meet the urgent requirements of online monitoring and online evaluation of grid-connected performance of a high-proportion wind power system, so that a method is urgently needed in engineering, and the transient processes of the response curves can be automatically divided through online detection data without human participation.
So far, there are few researches on automatic division methods of response curve transient intervals, and no relevant documents and patents disclose such methods. In order to solve the practical problem faced by the engineering application, the invention aims to provide an automatic dividing method of the transient interval of the response curve, which is easy to realize by software.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a wind power and wind power transient process dividing method, which effectively improves the safety and stability of a wind power system by automatically dividing the transient process of a response curve under the condition of no participation of people through online detection data.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a wind power transient process dividing method, which is improved in that the method comprises the following steps:
determining a transient subinterval of the wind power plant according to a first-order difference array corresponding to a sampling data array of the wind power plant;
and dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
Preferably, the sampling data is current, voltage, active power or reactive power.
Preferably, the calculation formula of the elements in the first-order difference array corresponding to the sampling data array of the wind farm is as follows:
adif1(n)＝(a(n+1)-a(n))*k,n＝(1…N-1)
the calculation formula of the elements in the second-order difference array corresponding to the sampling data array of the wind power plant is as follows:
adif2(n)＝(adif1(n+1)-adif1(n))，n＝(1…N-2)
wherein k is the sampling rate of the sampled data of the wind farm, a (n) is the nth element in the sampled data array of the wind farm, a (n +1) is the n +1 th element in the sampled data array of the wind farm, adif1(n) is the nth element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif1(n +1) is the (n +1) th element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif2And (N) is the nth element in the second-order difference array corresponding to the sampling data array of the wind power plant, and N is the total number of the sampling data of the wind power plant.
Preferably, the determining the transient subinterval of the wind farm according to the first-order difference array corresponding to the sampling data array of the wind farm includes:
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
Preferably, the dividing the transient interval of the wind farm based on the second-order difference array corresponding to the sampling data array of the wind farm and the transient subinterval of the wind farm includes:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
and merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant.
Further, the merging each transient subinterval according to the element values in the transient subintervals adjacent to each other in the transient subinterval with the serial number to obtain the merged transient subinterval includes:
and if the difference value between the element value corresponding to the minimum label in the j +1 th transient subinterval and the element value corresponding to the maximum label in the j +1 th transient subinterval is not larger than a preset time threshold, combining the j transient subinterval and the j +1 th transient subinterval, wherein j belongs to (1, 2.. multidot.Q-1), and Q is the total number of the transient subintervals of the wind power plant.
Further, merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind farm and the numbers of the elements in the merged transient subintervals with adjacent numbers in the merged transient subintervals to obtain the transient interval of the wind farm includes:
and if the average value of the absolute values of the element values corresponding to the sampling data array in the second-order difference array corresponding to the sampling data array, of the serial numbers between the maximum label in the ith combined transient subinterval and the minimum label in the (i +1) th combined transient subinterval is not less than a second preset threshold, combining the ith combined transient subinterval and the (i +1) th combined transient subinterval, wherein i belongs to (1,2,.. K-1), and K is the total number of the combined transient subintervals of the wind power plant.
Based on the same invention concept, the invention also provides a wind power transient process dividing device, and the improvement is that the device comprises:
the determining module is used for determining the transient subinterval of the wind power plant according to the first-order difference array corresponding to the sampling data array of the wind power plant;
and the dividing module is used for dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
Preferably, the determining module is specifically configured to:
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
Preferably, the dividing module is specifically configured to:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
and merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant.
Compared with the closest prior art, the invention has the following beneficial effects:
the technical scheme provided by the invention determines the transient state subinterval of the wind power plant according to the first-order difference array corresponding to the sampling data array of the wind power plant, divides the transient state subinterval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient state subinterval of the wind power plant, starts from the practical problems faced by engineering application, has small calculated amount, high calculating speed, easy software realization, is simultaneously suitable for on-line calculation and off-line calculation, has universality, can be used for any condition needing to analyze the transient state characteristics of a response curve, directly solves the engineering problem of inaccurate division of the transient state interval of the response curve, automatically divides the transient state process of the response curve under the condition of no participation of people through on-line detection data, meets the urgent requirements of on-line monitoring and on-line evaluation of grid-connected performance of a high-, the safety and stability of the wind power system are effectively improved.
Drawings
FIG. 1 is a flow chart of a wind power transient process partitioning method;
FIG. 2 is a transient interval calculation flow chart of a wind power transient process dividing method;
FIG. 3 is a schematic diagram of an active power set value of a wind power plant of a wind power transient process dividing method;
FIG. 4 is a schematic diagram of an actual value of active power of a wind power plant of a wind power transient process dividing method;
FIG. 5 is a measured value of generator terminal voltage of a wind power transient process partitioning method;
FIG. 6 is a first order difference value of a wind power transient process partitioning method;
FIG. 7 is a second order difference value of a wind power transient process partitioning method;
FIG. 8 is a partial enlarged view of a generator terminal voltage dropping process of a wind power transient process dividing method;
FIG. 9 is a partial enlarged view of a first order difference result of a wind power transient process partitioning method;
FIG. 10 is a partial enlarged view of a second order difference result of a wind power transient process partitioning method;
FIG. 11 is a partial enlarged view of a generator-end voltage recovery process of a wind power transient process partitioning method;
FIG. 12 is a partial enlarged view of a first order difference result of a wind power transient process partitioning method;
FIG. 13 is a partial enlarged view of a second order difference result of a wind power transient process partitioning method;
FIG. 14 is a partial enlarged view of a generator terminal voltage during a sag of a wind power transient process partitioning method;
FIG. 15 is a partial enlarged view of a first order difference result of a wind power transient process partitioning method;
FIG. 16 is a partial enlarged view of a second order difference result of a wind power transient process partitioning method;
fig. 17 is a structural diagram of a wind power transient process dividing apparatus.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Because the research on the response curve transient state interval automatic division method is less so far, no relevant documents and patents disclose such a method, and in order to meet the urgent requirements of online monitoring and online evaluation of grid-connected performance of a high-proportion wind power system, the invention provides a wind power transient state process division method, which is described in detail below and shown in fig. 1, and comprises the following steps:
step 101: determining a transient subinterval of the wind power plant according to a first-order difference array corresponding to a sampling data array of the wind power plant;
step 102: and dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
Preferably, the sampling data is current, voltage, active power or reactive power.
A transient interval calculation flow chart of a wind power transient process dividing method is shown in fig. 2, and a schematic diagram of active power control performance index judgment of a wind power plant is shown in fig. 3 and fig. 4, (other control performance index judgment methods are similar to the above), and generally the judgment of the control performance indexes comprises steady state deviation, response time, response rate and the like. In the figure, X represents the active power, the reactive power and the voltage, and X1Is an initial value, X2Is a target value, tp,0To start adjusting the time, tp,1For a start time of continuous operation within the permissible range, tp,2Time for active power to reach stability, tp,3To adjust the end time. The following describes a method for calculating the performance index by taking the response rate as an example. The response rate λ may be calculated using the following equation:
wherein XtIs shown at tp,1And obtaining the active power measured value at the moment.
If the performance index needs to be calculated, firstly, t needs to be automatically determined according to the collected datap,0、tp,1、tp,2And tp,3And time, finding out a data value corresponding to the time point, and calculating the related performance index. t is tp,0-tp,2This time is the transient interval of the curve, tp,2-tp,3Is the steady state interval of the curve. The invention provides an automatic dividing and calculating method of a response curve transient state interval aiming at data measured on site. Using this algorithm, t can be automatically calculated for a response curve composed from data points collected in the fieldp,0、tp,1、tp,2And tp,3And the time and the corresponding data value of the corresponding time, thereby completing the automatic calculation of the response index.
During data acquisition in the field, the curves shown in fig. 3 and 4 may be represented by a set of fixed sample rate array a.
Wherein a ═ a1,a2,...,an]. From tp,0At the beginning of the moment, the curve enters the transient state regulation process, known from the principle of calculus, tp,0The absolute value of the derivative at time + suddenly increases, and the derivative of the curve is 0 when the curve reaches a local extreme point (maximum or minimum). For discrete data points, the derivation process is a difference process. Because the data measured value inevitably has high-frequency measurement noise, the difference operation amplifies the measurement noise, and in order to avoid the influence of the measurement noise, the measurement data is firstly filtered to filter the high-frequency measurement noise. In order to implement step 101, the present invention provides a preferred embodiment, taking the field low voltage ride through positive sequence voltage measurement data of a unit of a certain model as an example, applying the transient interval dividing and calculating method of the present invention, terminal voltage test data when a unit passes through a low voltage and using the results of the first order difference and the second order difference calculated in the present invention, as shown in fig. 5, 6 and 7, the sampling frequency of the measurement data is 1.5 kHz.
The specific transient interval dividing and calculating method comprises the following steps:
terminal voltage measurement data afAnd carrying out low-pass filtering to obtain a filtered array a, wherein the transfer function of the adopted filter is as follows:
wherein T takes a value of 0.01.
Carrying out differential operation on the array a to obtain a differential array adif1Fig. 5, 6 and 7 are schematic diagrams of the difference operation result.
Preferably, the calculation formula of the elements in the first-order difference array corresponding to the sampling data array of the wind farm is as follows:
adif1(n)＝(a(n+1)-a(n))*k,n＝(1…N-1)
the calculation formula of the elements in the second-order difference array corresponding to the sampling data array of the wind power plant is as follows:
adif2(n)＝(adif1(n+1)-adif1(n))，n＝(1…N-2)
wherein k is the sampling rate of the sampled data of the wind farm, a (n) is the nth element in the sampled data array of the wind farm, a (n +1) is the n +1 th element in the sampled data array of the wind farm, adif1(n) is the nth element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif1(n +1) is the (n +1) th element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif2And (N) is the nth element in the second-order difference array corresponding to the sampling data array of the wind power plant, and N is the total number of the sampling data of the wind power plant.
Selecting a threshold value epsilon1150, judge element a in the arraydif1Absolute value of (n) | adif1(n) | greater than equal threshold ε1Section k of1,k2,...,kn. Taking the transient process of voltage drop at the end of about 9.37s shown in FIG. 8, FIG. 9 and FIG. 10 as an example, k is1＝[t1,t2]，k1＝[t3,t4]. Recording section k1,k2Corresponding array adif1Index k of subscript1i,k1j，k2i,k2jWherein k is1i,k1jIs the interval k1Corresponding index of subscript, k2i,k2jIs the interval k2The corresponding index of subscript. Taking the transient process of voltage recovery at the end of 10s or so as shown in fig. 11, 12 and 13 as an example, the preliminarily determined transient interval has k3,k4,...,k12。
Selecting a threshold value epsilontWhen the value is 0.1, k is2i-k1j≤εtK holds, needs to be over transient interval k1,k2And merging. The combined transient interval is marked as I1＝[t1,t4]Interval I1Corresponding array adif1Left and right subscript index of k1i,k2j。
Preferably, the determining the transient subinterval of the wind farm according to the first-order difference array corresponding to the sampling data array of the wind farm includes:
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
To implement step 102, the present invention provides a preferred embodiment of determining the interval k2,k3Index k of subscript3i-k2j≤εtK is not true, it needs to be for k2j,k3iA betweendif1(n) filtering and differentiating again to obtain adif2The difference results are shown in the lowermost curves of fig. 14, 15 and 16. The filter also adopts the low-pass filter in the above steps, and T takes a value of 0.025.
Selecting epsilon2Calculated as 10, adif2Index k at subscript2j,k3iMean absolute value between is less than epsilon2And interval combination is not needed.
Determine the need for k3,k4,...,k12Merging, and marking the merged interval as I2＝[t5,t6]And recording the interval I2The corresponding index of subscript.
Therefore, 2 transient intervals I of the terminal voltage test curve can be judged1And I2And the subscript index of the original measurement data corresponding to the interval can be obtained. The performance indexes such as subsequent steady-state deviation, response time, recovery rate and the like can be calculated according to the index.
Preferably, the dividing the transient interval of the wind farm based on the second-order difference array corresponding to the sampling data array of the wind farm and the transient subinterval of the wind farm includes:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
and merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant.
Further, the merging each transient subinterval according to the element values in the transient subintervals adjacent to each other in the transient subinterval with the serial number to obtain the merged transient subinterval includes:
and if the difference value between the element value corresponding to the minimum label in the j +1 th transient subinterval and the element value corresponding to the maximum label in the j +1 th transient subinterval is not larger than a preset time threshold, combining the j transient subinterval and the j +1 th transient subinterval, wherein j belongs to (1, 2.. multidot.Q-1), and Q is the total number of the transient subintervals of the wind power plant.
Further, merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind farm and the numbers of the elements in the merged transient subintervals with adjacent numbers in the merged transient subintervals to obtain the transient interval of the wind farm includes:
and if the average value of the absolute values of the element values corresponding to the sampling data array in the second-order difference array corresponding to the sampling data array, of the serial numbers between the maximum label in the ith combined transient subinterval and the minimum label in the (i +1) th combined transient subinterval is not less than a second preset threshold, combining the ith combined transient subinterval and the (i +1) th combined transient subinterval, wherein i belongs to (1,2,.. K-1), and K is the total number of the combined transient subintervals of the wind power plant.
Based on the same inventive concept, the invention also provides a wind power transient process dividing device, as shown in fig. 17, the improvement is that the device comprises:
the determining module is used for determining the transient subinterval of the wind power plant according to the first-order difference array corresponding to the sampling data array of the wind power plant;
and the dividing module is used for dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
Preferably, the determining module is specifically configured to:
the calculation formula of the elements in the first-order difference array corresponding to the sampling data array of the wind power plant is as follows:
adif1(n)＝(a(n+1)-a(n))*k,n＝(1…N-1)
the calculation formula of the elements in the second-order difference array corresponding to the sampling data array of the wind power plant is as follows:
adif2(n)＝(adif1(n+1)-adif1(n))，n＝(1…N-2)
wherein k is the sampling rate of the sampled data of the wind farm, a (n) is the nth element in the sampled data array of the wind farm, a (n +1) is the n +1 th element in the sampled data array of the wind farm, adif1(n) is the nth element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif1(n +1) is the (n +1) th element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif2(N) is the nth element in the second-order difference array corresponding to the sampling data array of the wind power plant, and N is the total number of the sampling data of the wind power plant;
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
Preferably, the dividing module is specifically configured to:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant;
if the difference value between the element value corresponding to the minimum label in the j +1 th transient subinterval and the element value corresponding to the maximum label in the j +1 th transient subinterval is not larger than a preset time threshold, combining the j +1 th transient subinterval and the j ∈ (1, 2.. multidot.Q-1), wherein Q is the total number of the transient subintervals of the wind farm;
and if the average value of the absolute values of the element values corresponding to the sampling data array in the second-order difference array corresponding to the sampling data array, of the serial numbers between the maximum label in the ith combined transient subinterval and the minimum label in the (i +1) th combined transient subinterval is not less than a second preset threshold, combining the ith combined transient subinterval and the (i +1) th combined transient subinterval, wherein i belongs to (1,2,.. K-1), and K is the total number of the combined transient subintervals of the wind power plant.
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 (10)
1. A wind power transient process dividing method is characterized by comprising the following steps:
determining a transient subinterval of the wind power plant according to a first-order difference array corresponding to a sampling data array of the wind power plant;
and dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
2. The method of claim 1, wherein the sampled data is current, voltage, active power, or reactive power.
3. The method of claim 1, wherein elements in a first order difference array corresponding to the array of sampled data for the wind farm are calculated as follows:
adif1(n)＝(a(n+1)-a(n))*k,n＝(1…N-1)
the calculation formula of the elements in the second-order difference array corresponding to the sampling data array of the wind power plant is as follows:
adif2(n)＝(adif1(n+1)-adif1(n))，n＝(1…N-2)
wherein k is the sampling rate of the sampled data of the wind farm, a (n) is the nth element in the sampled data array of the wind farm, a (n +1) is the n +1 th element in the sampled data array of the wind farm, adif1(n) is the nth element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif1(n +1) is the (n +1) th element in the first-order difference array corresponding to the sampling data array of the wind power plant, adif2And (N) is the nth element in the second-order difference array corresponding to the sampling data array of the wind power plant, and N is the total number of the sampling data of the wind power plant.
4. The method of claim 1, wherein determining the transient subinterval of the wind farm from a first-order difference array corresponding to the array of sampled data for the wind farm comprises:
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
5. The method of claim 1, wherein partitioning the transient interval of the wind farm based on the corresponding second order difference array of the sampled data array of the wind farm and the transient subinterval of the wind farm comprises:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
and merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant.
6. The method of claim 5, wherein merging the transient subintervals according to the element values in the transient subintervals numbered adjacent to each other in each transient subinterval to obtain a merged transient subinterval, comprises:
and if the difference value between the element value corresponding to the minimum label in the j +1 th transient subinterval and the element value corresponding to the maximum label in the j +1 th transient subinterval is not larger than a preset time threshold, combining the j transient subinterval and the j +1 th transient subinterval, wherein j belongs to (1, 2.. multidot.Q-1), and Q is the total number of the transient subintervals of the wind power plant.
7. The method of claim 5, wherein the merging the merged transient subintervals according to the second order difference array corresponding to the array of sampled data of the wind farm and the numbers of the elements in the merged transient subintervals with adjacent numbers in the merged transient subintervals to obtain the transient interval of the wind farm comprises:
and if the average value of the absolute values of the element values corresponding to the sampling data array in the second-order difference array corresponding to the sampling data array, of the serial numbers between the maximum label in the ith combined transient subinterval and the minimum label in the (i +1) th combined transient subinterval is not less than a second preset threshold, combining the ith combined transient subinterval and the (i +1) th combined transient subinterval, wherein i belongs to (1,2,.. K-1), and K is the total number of the combined transient subintervals of the wind power plant.
8. A wind power transient process partitioning device, characterized in that the device comprises:
the determining module is used for determining the transient subinterval of the wind power plant according to the first-order difference array corresponding to the sampling data array of the wind power plant;
and the dividing module is used for dividing the transient interval of the wind power plant based on the second-order difference array corresponding to the sampling data array of the wind power plant and the transient subinterval of the wind power plant.
9. The apparatus of claim 8, wherein the determination module is specifically configured to:
and sequentially selecting continuous first-order difference data which are not less than a first preset threshold value in a first-order difference array corresponding to the sampling data array of the wind power plant as transient subintervals of the wind power plant, and numbering the transient subintervals according to the selection sequence of the transient subintervals.
10. The apparatus of claim 8, wherein the partitioning module is specifically configured to:
merging the transient subintervals according to the element values in the transient subintervals adjacent to the transient subintervals with the serial numbers in each transient subinterval to obtain the merged transient subintervals, and sequentially numbering the merged transient subintervals;
and merging the merged transient subintervals according to the second-order difference array corresponding to the sampling data array of the wind power plant and the serial numbers of the elements in the merged transient subintervals with the serial numbers adjacent to each other in the merged transient subintervals to obtain the transient interval of the wind power plant.
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| CN115864393B (en) * | 2022-12-29 | 2023-08-15 | 国网甘肃省电力公司经济技术研究院 | New energy station transient voltage drop severity index calculation method |
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