CN108321794B - Online identification method and device for grid-related parameters of generator set speed regulation system - Google Patents
Online identification method and device for grid-related parameters of generator set speed regulation system Download PDFInfo
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- CN108321794B CN108321794B CN201810051398.XA CN201810051398A CN108321794B CN 108321794 B CN108321794 B CN 108321794B CN 201810051398 A CN201810051398 A CN 201810051398A CN 108321794 B CN108321794 B CN 108321794B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
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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
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Abstract
The invention provides a method and a device for identifying grid-related parameters of a generator set speed regulating system, which are used for acquiring a primary frequency modulation action event, determining the initial power of a generator set, calculating the correlation coefficient and the absolute error of an actual power curve and a theoretical power curve of the generator set, and finally identifying the grid-related parameters of the generator set speed regulating system on line, so that the primary frequency modulation performance of the generator set can be truly reflected, and the generator set can be ensured to have enough primary frequency modulation capacity under the continuously changing load requirement of a power grid. The invention identifies the grid-related parameters comprising the difference adjustment coefficient and the primary frequency modulation delay time by calculating the correlation coefficient of the actual power curve and the theoretical power curve of the generator set, is more objective, more real and closer to the actual operation condition, provides a technical means for the assessment of the grid-related parameters of the generator set speed regulation system, improves the grid source coordination performance and improves the safe and stable operation level of the power grid.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a method and a device for online identification of grid-related parameters of a speed regulating system of a generator set.
Background
The frequency is one of the most important parameters for the operation of the power system, and the frequency change has an important influence on the safe and stable operation of the system. When a disturbance occurs to the system, maintaining the grid frequency near the rated value is one of the main targets of safe and stable operation of the power system. The primary frequency modulation refers to the inherent capability of the frequency characteristic of the generator set speed regulating system, automatically adjusts the frequency along with the frequency change, is a first barrier for maintaining the power balance and the safety and the stability of the power grid, and has important significance for the safe operation of the power grid.
According to the regulations in the safety and stability guide rule of the power system, the setting of relevant important parameters of the unit speed regulating system and the switching of a loop directly influence the frequency stability of the system and the safety of a power grid, and the important parameters are required to be brought into a scheduling and auditing parameter system. At present, grid-related parameters of a speed regulating system of a generator set are generally obtained in an off-line mode, on one hand, due to different operation working conditions, some parameters cannot be really obtained in an off-line test, and the grid-related parameters of the speed regulating system of the generator set which is actually operated are inconsistent with data obtained in the off-line test; on the other hand, parameter drift exists during the operation of the generator set, so that the primary frequency modulation performance of the generator set during the operation cannot be truly reflected in an off-line mode.
Disclosure of Invention
In order to overcome the defect that the offline mode in the prior art cannot truly reflect the primary frequency modulation performance of the generator set, the invention provides a method and a device for identifying the grid-related parameters of a speed regulating system of the generator set on line, firstly, a primary frequency modulation action event is obtained, the initial power of the generator set is determined according to the primary frequency modulation action event, and finally, performing online identification on the grid-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, so that the primary frequency modulation performance of the generator set can be truly reflected, and the generator set can have enough primary frequency modulation capacity under the continuously changing load requirement of a power grid.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
on one hand, the invention provides a method for online identifying grid-related parameters of a generator set speed control system, which comprises the following steps:
acquiring a primary frequency modulation action event, and determining the initial power of the generator set according to the primary frequency modulation action event;
calculating theoretical power of the generator set according to the initial power of the generator set, and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
and carrying out online identification on the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set.
The acquiring of the primary frequency modulation action event comprises:
determining the starting time of the primary frequency modulation action and the ending time of the primary frequency modulation action;
the primary frequency modulation action start time comprises: the absolute value of the frequency deviation of the generator set is larger than the time of a primary frequency modulation dead zone;
the primary frequency modulation action end time comprises: and the frequency of the generator set returns to the primary frequency modulation dead zone or the time that the duration of the primary frequency modulation exceeds the preset time.
The determining the initial power of the generator set according to the primary frequency modulation action event comprises the following steps:
and taking the average value of the actual power of the generator set before the primary frequency modulation action is started as the initial power of the generator set.
According to the initial power of the generator set, calculating the theoretical power of the generator set according to the following formula:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at time t, P 0 Represents the initial power of the generator set, Δ P (t) represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N And f (t) represents the actual frequency of the generator set at time t.
Before calculating the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, the method comprises the following steps:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain the translated theoretical power curve of the wind turbine generator.
Calculating the correlation coefficient of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the generator set, P representing the actual power of the generator set, Cov (P) S P) represents P S The covariance with P is determined by the sum of the measured values,
represents P S The variance of (a) is determined,
represents the variance of P.
And calculating the absolute error of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the time t, and n represents the number of sampling points.
The online identification of the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set comprises the following steps:
and assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, and taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of the speed regulating system of the generator set.
On the other hand, the invention also provides a device for identifying the grid-related parameters of the speed regulating system of the generator set on line, which comprises the following steps:
the determining module is used for acquiring a primary frequency modulation action event and determining the initial power of the generator set according to the primary frequency modulation action event;
the calculation module is used for calculating theoretical power of the generator set according to the initial power of the generator set and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
and the identification module is used for carrying out online identification on the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set.
The determining module comprises an obtaining module, and the obtaining module is used for obtaining a primary frequency modulation action event according to the following processes:
determining the starting time of the primary frequency modulation action and the ending time of the primary frequency modulation action;
the primary frequency modulation action start time comprises: the absolute value of the frequency deviation of the generator set is larger than the time of a primary frequency modulation dead zone;
the primary frequency modulation action end time comprises: and the frequency of the generator set returns to the primary frequency modulation dead zone or the time that the duration of the primary frequency modulation exceeds the preset time.
The determining module comprises a determining unit, and the determining unit is used for determining the initial power of the generator set according to the primary frequency modulation action event and according to the following processes:
and taking the average value of the actual power of the generator set before the primary frequency modulation action is started as the initial power of the generator set. A
The calculation module comprises a theoretical power calculation unit, and the theoretical power calculation unit calculates the theoretical power of the generator set according to the following formula according to the initial power of the generator set:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at time t, P 0 Represents the initial power of the generator set, and Δ P (t) represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N And f (t) represents the actual frequency of the generator set at time t.
The device further comprises a translation module, wherein the translation module is specifically configured to:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain the translated theoretical power curve of the wind turbine generator.
The calculation module further comprises a correlation coefficient calculation unit, and the correlation coefficient calculation unit calculates the correlation coefficient of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the genset, P representing the actual power of the genset, Cov (P) S P) represents P S The covariance with P is determined by the sum of the measured values,
represents P S The variance of (a) is determined,
representing the variance of P.
The calculation module further comprises an absolute error calculation unit, and the absolute error calculation unit calculates the absolute error of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the moment t, and n represents the number of sampling points.
The identification module is specifically configured to:
and assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, and taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of the speed regulating system of the generator set.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a method for identifying grid-related parameters of a generator set speed regulating system, which comprises the steps of firstly acquiring a primary frequency modulation action event, determining the initial power of a generator set according to the primary frequency modulation action event, then calculating the theoretical power of the generator set according to the initial power of the generator set, calculating the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, and finally identifying the grid-related parameters of the generator set speed regulating system on line according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, so that the primary frequency modulation performance of the generator set can be truly reflected, and the generator set can have enough primary frequency modulation capacity under the continuously changing load demand of a power grid;
the invention provides an online identification device for grid-related parameters of a generator set speed regulating system, which comprises a determination module, a calculation module and an identification module, wherein the determination module acquires a primary frequency modulation action event and determines the initial power of the generator set according to the primary frequency modulation action event;
the online identification method for the grid-related parameters of the speed regulating system of the generator set identifies the grid-related parameters comprising the difference regulating coefficient and the primary frequency modulation delay time by calculating the correlation coefficient of the actual power curve and the theoretical power curve of the generator set, and is more objective, more real and closer to the actual operation condition;
the method for identifying the grid-related parameters of the generator set speed regulating system provides a technical means for checking the grid-related parameters of the generator set speed regulating system, improves the grid source coordination performance, and improves the safe and stable operation level of a power grid.
Drawings
Fig. 1 is a flow chart of a method for online identification of grid parameters of a generator set speed control system in the embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The embodiment of the invention provides a method for identifying grid-related parameters of a speed regulating system of a generator set on line, which is characterized in that a specific flow chart of the method is shown in figure 1, and a D5000 system is taken as an example, wherein the method comprises generator frequency and active power, sampling frequency of 10Hz/s, total time of 2min and 1200 time sections. The method for identifying the grid-related parameters of the speed regulating system of the generator set provided by the embodiment of the invention comprises the following specific processes:
s101: acquiring a primary frequency modulation action event, and determining the initial power of the generator set according to the primary frequency modulation action event;
s102: calculating theoretical power of the generator set according to the initial power of the generator set, and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
s103: and carrying out online identification on the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set.
In S101, acquiring a primary frequency modulation action event, specifically determining a primary frequency modulation action starting time and a primary frequency modulation action ending time; it can be found that the primary motion start time is at 230 th and the primary motion end time is at 830 th.
The primary frequency modulation action starting time is the time when the absolute value of the frequency deviation of the generator set is larger than a primary frequency modulation dead zone (0.033 Hz can be taken),
the primary frequency modulation action ending time is the time when the frequency of the generator set returns to the primary frequency modulation dead zone or the primary frequency modulation duration time exceeds the preset time (60 s can be taken).
In the above step S101, the initial power of the generator set is determined according to the primary frequency modulation event, specifically, the average value of the actual power of the generator set before the primary frequency modulation event starts is used as the initial power of the generator set.
In the above step S102, the theoretical power of the generator set is calculated according to the following formula:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at the moment t; p 0 Representing the initial power of the generator set, P 0 593.995; Δ P (t) represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N And f (t) represents the actual frequency of the generator set at time t.
Before calculating the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set in step S102, the method includes:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain the translated theoretical power curve of the wind turbine generator.
In the above step S102, a correlation coefficient between the actual power curve and the theoretical power curve of the generator set is calculated according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the generator set, P representing the actual power of the generator set, Cov (P) S P) represents P S The covariance with P is determined by the sum of the measured values,
is represented by P S The variance of (a) is determined,
representing the variance of P.
In the above step S102, the absolute error between the actual power curve and the theoretical power curve of the generator set is calculated according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the time t, and n represents the number of sampling points.
In the above step S103, the grid-related parameters of the generator set speed control system are identified on line according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, and the specific process is as follows:
the value range of X1 is 0.001-0.2, and the step length is 0.001; the value range of X2 is 0-200, step size 1. And assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of a speed regulating system of the generator set, wherein X1 is 0.042, and X2 is 4. Therefore, it can be recognized that the unit has a coefficient of variation of 4.2% and a delay time of 0.4s for the primary frequency modulation.
Based on the same concept, the embodiment of the invention also provides a device for identifying the grid-related parameters of the speed regulating system of the generator set on line, which comprises a determining module, a calculating module and an identifying module, wherein the functions of the 3 modules are respectively introduced as follows:
the determining module is used for acquiring a primary frequency modulation action event and determining the initial power of the generator set according to the primary frequency modulation action event;
the calculation module is used for calculating theoretical power of the generator set according to initial power of the generator set and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
the identification module is used for carrying out online identification on the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set.
The determining module comprises an acquiring module, wherein the acquiring module is used for acquiring a primary frequency modulation action event according to the following process, specifically determining the primary frequency modulation action starting time and the primary frequency modulation action ending time;
the starting time of the primary frequency modulation action is the time when the absolute value of the frequency deviation of the generator set is larger than the primary frequency modulation dead zone;
the end time of the primary frequency modulation action is the time when the frequency of the generator set returns to the primary frequency modulation dead zone or the duration time of the primary frequency modulation exceeds the preset time.
The determining module further comprises a determining unit, wherein the determining unit is used for determining the initial power of the generator set according to the primary frequency modulation action event and according to the following processes:
and taking the average value of the actual power of the generator set before the primary frequency modulation action is started as the initial power of the generator set. A
The calculation module comprises a theoretical power calculation unit, and the theoretical power calculation unit calculates the theoretical power of the generator set according to the following formula according to the initial power of the generator set:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at time t, P 0 Represents the initial power of the generator set, and Δ P (t) represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N And f (t) represents the actual frequency of the generator set at time t.
The device for identifying the grid-related parameters of the speed regulating system of the generator set further comprises a translation module, wherein the translation module is specifically used for:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain the translated theoretical power curve of the wind turbine generator.
The calculation module further comprises a correlation coefficient calculation unit, wherein the correlation coefficient calculation unit calculates the correlation coefficient of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the generator set, P representing the actual power of the generator set, Cov (P) S P) represents P S The covariance of the P-channel and the P-channel,
represents P S The variance of (a) is determined,
representing the variance of P.
The calculation module further comprises an absolute error calculation unit, wherein the absolute error calculation unit calculates the absolute error of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the time t, and n represents the number of sampling points.
The identification module identifies the grid-related parameters of the speed regulating system of the generator set on line according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, and the specific process is as follows:
and assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, and taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of the speed regulating system of the generator set.
For convenience of description, each part of the above-described apparatus is separately described as being functionally divided into various modules or units. Of course, the functionality of the various modules or units may be implemented in the same one or more pieces of software or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. 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 intended to illustrate the technical solution of the present invention and not to limit the same, and a person of ordinary skill in the art can make modifications or equivalents to the specific embodiments of the present invention with reference to the above embodiments, and such modifications or equivalents without departing from the spirit and scope of the present invention are within the scope of the claims of the present invention as set forth in the claims.
Claims (4)
1. A method for online identification of grid-related parameters of a generator set speed control system is characterized by comprising the following steps:
acquiring a primary frequency modulation action event, and determining the initial power of the generator set according to the primary frequency modulation action event;
calculating theoretical power of the generator set according to the initial power of the generator set, and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
carrying out online identification on network-related parameters of a speed regulating system of the generator set according to correlation coefficients and absolute errors of an actual power curve and a theoretical power curve of the generator set;
the determining the initial power of the generator set according to the primary frequency modulation action event comprises the following steps:
taking the average value of the actual power of the generator set before the primary frequency modulation action is started as the initial power of the generator set;
according to the initial power of the generator set, calculating the theoretical power of the generator set according to the following formula:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at time t, P 0 Indicating electric generatorsThe initial power of the group, Δ P (t), represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N (t) represents the actual frequency of the generator set at time t;
before calculating the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set, the method comprises the following steps:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain a translated theoretical power curve of the wind turbine generator;
calculating the correlation coefficient of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the generator set, P representing the actual power of the generator set, Cov (P) S P) represents P S The covariance with P is determined by the sum of the measured values,
represents P S The variance of (a) is determined,
represents the variance of P;
calculating the absolute error of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the time t, and n represents the number of sampling points;
the online identification of the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set comprises the following steps:
and assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, and taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of the speed regulating system of the generator set.
2. The method for online identification of grid-related parameters of a generator set speed regulating system according to claim 1, wherein the obtaining of a primary frequency modulation action event comprises:
determining the starting time of the primary frequency modulation action and the ending time of the primary frequency modulation action;
the primary frequency modulation action start time comprises: the absolute value of the frequency deviation of the generator set is larger than the time of a primary frequency modulation dead zone;
the primary frequency modulation action end time comprises: and the frequency of the generator set returns to the primary frequency modulation dead zone or the time that the duration of the primary frequency modulation exceeds the preset time.
3. The utility model provides a generating set speed control system is concerned with net parameter and is discerned device on line which characterized in that includes:
the determining module is used for acquiring a primary frequency modulation action event and determining the initial power of the generator set according to the primary frequency modulation action event;
the calculation module is used for calculating theoretical power of the generator set according to the initial power of the generator set and calculating a correlation coefficient and an absolute error of an actual power curve and a theoretical power curve of the generator set;
the identification module is used for carrying out online identification on the network-related parameters of the speed regulating system of the generator set according to the correlation coefficient and the absolute error of the actual power curve and the theoretical power curve of the generator set;
the determining module comprises a determining unit, and the determining unit is used for determining the initial power of the generator set according to the primary frequency modulation action event and according to the following processes:
taking the average value of the actual power of the generator set before the primary frequency modulation action is started as the initial power of the generator set;
the calculation module comprises a theoretical power calculation unit, and the theoretical power calculation unit calculates the theoretical power of the generator set according to the following formula according to the initial power of the generator set:
P S (t)＝P 0 +ΔP(t)
wherein, P S (t) represents the theoretical power of the generator set at time t, P 0 Represents the initial power of the generator set, and Δ P (t) represents the power variation of the generator set at time t, and
P N indicating rated power of the generator set, f N Indicating rated power, X, of the generator set 1 Denotes a coefficient of variation, Δ f (t) denotes a frequency deviation of the generator set at time t, and Δ f (t) ═ f (t) — f N (t) represents the actual frequency of the generator set at time t;
the device further comprises a translation module, wherein the translation module is specifically configured to:
setting the primary frequency modulation delay time as X2, and translating the theoretical power delay time axis of the wind turbine generator to the right for X2 points to obtain a translated theoretical power curve of the wind turbine generator;
the calculation module further comprises a correlation coefficient calculation unit, and the correlation coefficient calculation unit calculates the correlation coefficient of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein R (P) S P) a correlation coefficient representing the actual power curve of the generator set and the translated theoretical power curve, P S Representing the theoretical power of the generator set, P representing the actual power of the generator set, Cov (P) S P) represents P S The covariance with P is determined by the sum of the measured values,
represents P S The variance of (a) is determined,
represents the variance of P;
the calculation module further comprises an absolute error calculation unit, and the absolute error calculation unit calculates the absolute error of the actual power curve and the theoretical power curve of the generator set according to the following formula:
wherein Error represents the absolute Error of the actual power curve of the generator set and the translated theoretical power curve, P (t) represents the actual power of the generator set at the time t, and n represents the number of sampling points;
the identification module is specifically configured to:
and assigning different values to X1 and X2 to obtain correlation coefficients and absolute errors of actual power curves and translated theoretical power curves of different generator sets, and taking X1 and X2 corresponding to the theoretical power of the wind turbine generator set with the phase relation number closest to 1 and the minimum absolute error as network parameters of the speed regulating system of the generator set.
4. The device for on-line identification of grid-related parameters of a generator set speed regulation system according to claim 3, wherein the determining module comprises an acquiring module for acquiring a primary frequency modulation action event according to the following process:
determining the starting time of the primary frequency modulation action and the ending time of the primary frequency modulation action;
the primary frequency modulation action start time comprises: the absolute value of the frequency deviation of the generator set is larger than the time of a primary frequency modulation dead zone;
the primary frequency modulation action end time comprises: and the frequency of the generator set returns to the primary frequency modulation dead zone or the time that the duration of the primary frequency modulation exceeds the preset time.
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