CN113806907A

CN113806907A - Electromechanical transient data processing method and device for double-fed wind turbine generator

Info

Publication number: CN113806907A
Application number: CN202110888710.2A
Authority: CN
Inventors: 陈璨; 吴林林; 杨艳晨; 王枭枭; 刘海涛; 邢晶; 刘辉; 徐曼; 孙雅旻; 王玙; 付雪姣; 张瑞芳
Original assignee: State Grid Corp of China SGCC; North China Electric Power Research Institute Co Ltd; State Grid Jibei Electric Power Co Ltd; Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Current assignee: State Grid Corp of China SGCC; North China Electric Power Research Institute Co Ltd; State Grid Jibei Electric Power Co Ltd; Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
Priority date: 2021-08-02
Filing date: 2021-08-02
Publication date: 2021-12-17
Anticipated expiration: 2041-08-02
Also published as: CN113806907B

Abstract

The embodiment of the application provides a method and a device for processing electromechanical transient data of a doubly-fed wind turbine generator, wherein the method comprises the following steps: acquiring basic parameters of the doubly-fed wind turbine generator under a low-voltage ride through working condition; determining active control data and reactive control data of the doubly-fed wind turbine generator during and after low voltage ride through according to the basic parameters and the least square method parameter identification rule; determining the low voltage ride through characteristic of the doubly-fed wind turbine generator according to the active control data, the reactive control data, and the low voltage ride through implementation mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator; the method and the device can fully consider the differences of control strategies of different wind turbine manufacturers and converter manufacturers, and effectively and accurately identify the key parameters of the low-voltage ride through model of the doubly-fed wind turbine.

Description

Electromechanical transient data processing method and device for double-fed wind turbine generator

Technical Field

The application relates to the field of data processing, in particular to a method and a device for processing electromechanical transient data of a double-fed wind turbine generator.

Background

With the increase of installed capacity of wind power, the influence of large-scale wind power integration on the safe and stable operation of a power system is increasingly remarkable, and the low-voltage ride through characteristic of a wind turbine generator becomes an important factor influencing the electromechanical transient stability of a new energy power system. At present, a double-fed wind turbine generator has become a dominant model of a wind power equipment manufacturer due to the characteristics of low manufacturing cost, small converter capacity, flexible control and the like. The stator of the doubly-fed wind turbine generator is directly connected with a power grid, so that the generator set is very sensitive to the power grid fault, and the characteristics of the doubly-fed wind turbine generator during low voltage ride through are simultaneously influenced by the switching of a hardware protection circuit and a control strategy of a rotor converter.

The inventor finds that in actual production, different manufacturers adopt different protection and control strategies, but the details of the model are not mastered by operators of a power grid company. How to identify the low-voltage ride-through key parameters of the wind turbine generator according to the actual measurement data of the doubly-fed wind turbine generator under different low-voltage ride-through working conditions is the basis for ensuring the safe and stable operation of a power grid.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides a method and a device for processing electromechanical transient data of a double-fed wind turbine generator, which can fully consider the differences of control strategies of different wind turbine generator manufacturers and converter manufacturers and effectively and accurately identify key parameters of a low-voltage ride through model of the double-fed wind turbine generator.

In order to solve at least one of the above problems, the present application provides the following technical solutions:

in a first aspect, the present application provides a method for processing electromechanical transient data of a doubly-fed wind turbine, including:

acquiring basic parameters of the doubly-fed wind turbine generator under a low-voltage ride through working condition;

determining active control data and reactive control data of the doubly-fed wind turbine generator during and after low voltage ride through according to the basic parameters and the least square method parameter identification rule;

and determining the low voltage ride through characteristic of the doubly-fed wind turbine generator according to the active control data, the reactive control data, and the low voltage ride through implementation mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator.

Further, the acquiring basic parameters of the doubly-fed wind turbine generator under the low voltage ride through condition includes:

acquiring measured data of terminal voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator under the low-voltage ride-through working condition;

the determining active control data and reactive control data during and after the low voltage ride through of the doubly-fed wind turbine generator according to the basic parameters and the least square method parameter identification rule comprises the following steps:

and determining an active power control mode of the doubly-fed wind turbine generator during low voltage ride through, an active climbing initial value control mode after low voltage ride through, an active climbing mode after low voltage ride through, a reactive power control mode of the doubly-fed wind turbine generator during low voltage ride through and a reactive power control mode after low voltage ride through according to the measured data of the generator terminal voltage, the active power, the reactive power, the active current and the reactive current and a least square method parameter identification rule.

Further, the determining an active power control mode of the doubly-fed wind turbine generator during the low voltage ride through according to the measured data of the active power and the active current and a least square parameter identification rule includes:

determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulated value and an actual measured value in a low voltage ride through process;

determining an active current percentage estimation value according to a least square method, and calculating a second least square error of an active current simulation value and an actual measurement value in the low voltage ride through process;

determining an active power estimated value according to a least square method, and calculating a third least square error of an active current simulated value and an actual measured value in the low voltage ride through process;

determining an active power percentage estimation value according to a least square method, and calculating a fourth least square error of an active current simulation value and an actual measurement value in the low voltage ride through process;

and comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining an active power control mode corresponding to the minimum numerical value as an active power control mode of the doubly-fed wind turbine generator set during the low voltage ride through period.

Further, the determining the control mode of the active climbing initial value of the doubly-fed wind turbine generator after the low voltage ride through according to the measured data of the active power and the active current and the least square method parameter identification rule comprises:

determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulated value and an actual measured value after low voltage ride through;

determining an active current percentage estimation value according to a least square method, and calculating a second least square error of an active current simulation value and an actual measurement value after low voltage ride through;

determining an active power estimated value according to a least square method, and calculating a third least square error of an active current simulated value and an actual measured value after low voltage ride through;

determining an active power percentage estimation value according to a least square method, and calculating a fourth least square error of an active current simulation value and an actual measurement value after low voltage ride through;

and comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining the control mode of the active climbing initial value corresponding to the minimum numerical value as the control mode of the active climbing initial value of the double-fed wind turbine generator set after low voltage ride through.

Further, according to the measured data of the active power and the active current and the least square method parameter identification rule, determining an active climbing mode of the doubly-fed wind turbine generator after low voltage ride through, including:

if the active current of the double-fed wind turbine generator set after low voltage ride through is curve immediate recovery, judging that the active climbing mode of the double-fed wind turbine generator set after low voltage ride through is immediate recovery;

and if the active current of the double-fed wind turbine generator set after low voltage ride through is slope recovery, determining a slope estimation value when the slope rises according to a least square method, and determining the active climbing mode of the corresponding double-fed wind turbine generator set after low voltage ride through according to the slope estimation value.

Further, the determining a reactive power control mode of the doubly-fed wind turbine generator during the low voltage ride through according to the measured data of the reactive power and the reactive current and the least square method parameter identification rule comprises:

and determining a voltage reference value estimation value and a reactive power adjustment coefficient estimation value in a voltage control reactive current mode during the symmetrical low voltage ride through according to a least square method, and determining a reactive power control mode of the corresponding double-fed wind turbine generator set during the symmetrical low voltage ride through.

determining a reactive current estimation value according to a least square method, and calculating a first least square error between a reactive current simulation value and a measured value during asymmetric low voltage ride through;

calculating a second least square error between a reactive current simulation value and a measured value in the asymmetric voltage ride through period according to the voltage reference value estimated value and the reactive power adjustment coefficient estimated value;

and comparing the first least square error with the second least square error, and determining a reactive power control mode in a low voltage ride through period corresponding to the minimum numerical value as a reactive power control mode of the doubly-fed wind turbine generator in an asymmetric low voltage ride through period.

Further, the determining the reactive power control mode of the doubly-fed wind turbine generator set after low voltage ride through according to the actually measured data of the reactive power and the reactive current and the least square method parameter identification rule comprises the following steps:

and determining a corresponding reactive power control mode after low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine generator after low voltage ride through.

In a second aspect, the present application provides a doubly-fed wind turbine generator electromechanical transient data processing apparatus, including:

the basic parameter acquisition module is used for acquiring basic parameters of the double-fed wind turbine generator under the low-voltage ride through working condition;

the control data determining module is used for determining active control data and reactive control data of the double-fed wind turbine generator during and after low voltage ride through according to the basic parameters and the least square parameter identification rule;

and the fault judgment module is used for determining the low voltage ride through characteristic of the doubly-fed wind turbine generator according to the active control data, the reactive control data, the low voltage ride through implementation mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator.

Further, the basic parameter acquiring module comprises:

the actual measurement data acquisition unit is used for acquiring actual measurement data of terminal voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator under the low-voltage ride-through working condition;

the control data determination module includes:

and the least square method identification unit is used for determining an active power control mode of the doubly-fed wind turbine generator during low voltage ride through, an active climbing initial value control mode after low voltage ride through, an active climbing mode after low voltage ride through, a reactive power control mode of the doubly-fed wind turbine generator during low voltage ride through and a reactive power control mode after low voltage ride through according to the measured data of the generator terminal voltage, the active power, the reactive power, the active current and the reactive current and the least square method parameter identification rule.

Further, the least square method identification unit includes:

the active current estimated value error calculating subunit is used for determining an active current estimated value according to a least square method during ride-through and calculating a first least square error of an active current simulated value and an actual measured value in a low-voltage ride-through process;

the active current percentage estimation value error calculation subunit is used for determining an active current percentage estimation value according to a least square method and calculating a second least square error of an active current simulation value and an actual measurement value in the low voltage ride through process;

the active power estimated value error calculating subunit is used for determining an active power estimated value according to a least square method during ride-through and calculating a third least square error of an active current simulated value and an actual measured value in a low voltage ride-through process;

the active power percentage estimation value error calculation subunit is used for determining an active power percentage estimation value according to a least square method and calculating a fourth least square error of an active current simulation value and an actual measurement value in the low voltage ride through process;

and the active power control mode determining subunit is used for comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining the active power control mode corresponding to the minimum numerical value as the active power control mode of the doubly-fed wind turbine generator set during the low voltage ride through period.

Further, the least square method identification unit includes:

the active current estimated value error calculating subunit is used for determining an active current estimated value according to a least square method and calculating a first least square error of an active current simulated value and an actual measured value after low voltage ride through;

the current percentage estimation value error calculation subunit is used for determining an active current percentage estimation value according to a least square method and calculating a second least square error of an active current simulation value and an actual measurement value after low voltage ride through;

the active power estimated value error calculation subunit is used for determining an active power estimated value according to a least square method and calculating a third least square error of an active current simulated value and an actual measured value after low voltage ride through;

the active power percentage estimation value error calculation subunit is used for determining an active power percentage estimation value according to a least square method and calculating a fourth least square error of an active current simulated value and an actual measurement value after low voltage ride through;

and the active climbing initial value control mode determining subunit is used for comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining the active climbing initial value control mode corresponding to the minimum numerical value as the active climbing initial value control mode of the double-fed wind turbine generator set after low voltage ride through.

Further, the least square method identification unit includes:

the first active climbing mode determining sub-unit is used for determining that the active climbing mode of the double-fed wind turbine generator set is immediately recovered after low voltage ride through if the active current of the double-fed wind turbine generator set after low voltage ride through is a curve;

and the second active climbing mode determining subunit is used for determining a slope estimation value when the slope rises according to a least square method if the active current of the double-fed wind turbine generator set after low voltage ride through is slope recovery, and determining the active climbing mode of the corresponding double-fed wind turbine generator set after low voltage ride through according to the slope estimation value.

Further, the least square method identification unit includes:

and the reactive power control mode determining subunit is used for determining a voltage reference value estimation value and a reactive power adjustment coefficient estimation value in a voltage control reactive current mode in the symmetrical low voltage ride through period according to a least square method, and determining a reactive power control mode of the corresponding double-fed wind turbine generator in the symmetrical low voltage ride through period.

Further, the least square method identification unit includes:

the first error determining subunit is used for determining a reactive current estimated value according to a least square method during asymmetric low voltage ride through, and calculating a first least square error between a reactive current simulated value and a measured value during asymmetric low voltage ride through;

the second error determining subunit is used for calculating a second least square error between a reactive current simulated value and a measured value in the asymmetric voltage ride-through period according to the voltage reference value estimated value and the reactive power adjusting coefficient estimated value;

and the reactive power control mode determining subunit is used for comparing the first least square error with the second least square error and determining the reactive power control mode in the low voltage ride through period corresponding to the minimum numerical value as the reactive power control mode of the doubly-fed wind turbine generator in the asymmetric low voltage ride through period.

Further, the least square method identification unit includes:

and the reactive power control mode determining subunit is used for determining a corresponding reactive power control mode after low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine generator after low voltage ride through.

In a third aspect, the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the doubly-fed wind turbine generator electromechanical transient data processing method when executing the program.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for processing electromechanical transient data of a doubly-fed wind turbine.

According to the technical scheme, the active power and reactive working condition control module key parameters of the doubly-fed wind turbine generator during the symmetrical and asymmetrical low voltage ride through period and after the voltage recovery are identified based on the least square method, the difference of control strategies of different wind turbine generator manufacturers and converter manufacturers can be fully considered, and the doubly-fed wind turbine generator low voltage ride through model key parameters can be effectively and accurately identified.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is one of the flow diagrams of an electromechanical transient data processing method of a doubly-fed wind turbine generator in the embodiment of the present application;

fig. 2 is a second schematic flow chart of the electromechanical transient data processing method of the doubly-fed wind turbine generator in the embodiment of the present application;

fig. 3 is a third schematic flow chart of a doubly-fed wind turbine generator electromechanical transient data processing method in the embodiment of the present application;

fig. 4 is a fourth schematic flowchart of a doubly-fed wind turbine generator electromechanical transient data processing method in the embodiment of the present application;

fig. 5 is a fifth flowchart of a doubly-fed wind turbine generator electromechanical transient data processing method in the embodiment of the present application;

fig. 6 is a sixth schematic flow chart of a doubly-fed wind turbine generator electromechanical transient data processing method in the embodiment of the present application;

fig. 7 is one of the structural diagrams of the electromechanical transient data processing apparatus of the doubly-fed wind turbine in the embodiment of the present application;

fig. 8 is a second structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 9 is a third structural diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;

fig. 10 is a fourth structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 11 is a fifth structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 12 is a sixth structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 13 is a seventh structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 14 is an eighth structural diagram of an electromechanical transient data processing apparatus of a doubly-fed wind turbine in an embodiment of the present application;

fig. 15 is a schematic view of an electromechanical transient data processing method of a doubly-fed wind turbine generator according to an embodiment of the present application;

fig. 16 is a second schematic diagram of an electromechanical transient data processing method for a doubly-fed wind turbine generator according to an embodiment of the present application;

fig. 17 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. 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 application.

In consideration of the fact that different manufacturers adopt different protection and control strategies, but the details of the model are not mastered by operators of a power grid company, the application provides the method and the device for processing the electromechanical transient data of the doubly-fed wind turbine generator.

In order to fully consider differences of control strategies of different wind turbine manufacturers and converter manufacturers and effectively and accurately identify key parameters of a low voltage ride through model of a doubly-fed wind turbine, the application provides an embodiment of a method for processing electromechanical transient data of the doubly-fed wind turbine, and referring to fig. 1, the method specifically comprises the following contents:

step S101: and acquiring basic parameters of the doubly-fed wind turbine generator under the low-voltage ride through working condition.

Optionally, the method and the device can acquire measured data of terminal voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator one by one under each low-voltage ride-through working condition aiming at 16 low-voltage ride-through testing working conditions of the doubly-fed wind turbine generator, and convert the measured data into time resolution which is the same as PSD-BPA electromechanical transient simulation.

Step S102: and determining active control data and reactive control data of the doubly-fed wind turbine generator during and after the low voltage ride through period and the low voltage ride through period according to the basic parameters and the least square method parameter identification rule.

Optionally, the method can identify the key parameters of the active power and reactive power condition control module during the symmetrical and asymmetrical low voltage ride through periods of the doubly-fed wind turbine generator and after the voltage recovery based on the least square method parameter identification rule, the low voltage ride through condition covers 16 working conditions of different initial powers, different fault types and different voltage drop depths, and the usability and the accuracy of the parameter identification result are guaranteed.

Step S103: and determining the low voltage ride through characteristic of the doubly-fed wind turbine generator according to the active control data, the reactive control data, and the low voltage ride through implementation mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator.

Optionally, after the active control data and the reactive control data are obtained through the above content, the low voltage ride through implementation manner data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator can be obtained from a parameter table provided by a doubly-fed wind turbine generator manufacturer, and therefore the low voltage ride through characteristic of the doubly-fed wind turbine generator is obtained.

Optionally, when determining the low-voltage ride-through characteristic of the doubly-fed wind turbine generator, which low-voltage ride-through characteristic falls in may be determined according to a numerical comparison relationship between the numerical values of the various data and the threshold of the low-voltage ride-through characteristic, and of course, any method in the prior art may be adopted to determine the low-voltage ride-through characteristic of the doubly-fed wind turbine generator based on the various data, which is not specifically limited in this application.

Optionally, the basic parameters of the doubly-fed wind turbine include a reference voltage of the wind turbine, a rated capacity of the wind turbine, a rated power of the wind turbine, a stator resistance, a stator reactance, an excitation reactance, a rotor resistance, a rotor reactance, a direct-current initial voltage of the converter and a direct-current side capacitance of the converter. These parameters can all be obtained from an equipment parameter table provided by a wind turbine generator manufacturer.

Optionally, when determining the parameters of the low voltage ride through implementation mode module of the doubly-fed wind turbine generator, the low voltage ride through implementation mode module defines the relevant parameters of crowbar protection after the rotor current of the doubly-fed wind turbine generator is increased or chopper protection after the dc bus voltage is increased. If the double-fed wind turbine generator set low-voltage ride-through protection adopts a mode of switching in a crowbar circuit, and the crowbar circuit is switched according to the rotor current, the crowbar resistance value, the rotor current limit value of a crowbar action, the rotor current value withdrawn after the crowbar action and the time for judging the rotor current by returning the crowbar are required to be identified; if the double-fed wind turbine generator system low-voltage ride-through protection adopts a mode of switching into a crowbar circuit, and the crowbar circuit is switched according to the direct-current bus voltage, the crowbar resistance value, the direct-current voltage value of the crowbar action, the direct-current voltage value returned by the crowbar and the delay time of the crowbar return judgment direct-current voltage need to be identified. If the doubly-fed wind turbine generator low-voltage ride-through protection adopts a mode of switching in a chopper circuit, the chopper resistance, the direct-current voltage of chopper action and the direct-current voltage of chopper exit need to be identified. The parameters can be obtained through a parameter table provided by a doubly-fed wind turbine converter manufacturer.

Optionally, when determining to identify the parameter of the low voltage ride-through state judgment module of the doubly-fed wind turbine generator, the parameter to be identified by the low voltage ride-through state judgment module includes a voltage type for judging low voltage ride-through, a voltage value for entering the low voltage ride-through state, a voltage value for exiting the low voltage ride-through state, and a low voltage judgment time, and these parameters may all be obtained through a parameter table provided by a converter manufacturer of the doubly-fed wind turbine generator.

From the above description, the doubly-fed wind turbine generator electromechanical transient data processing method provided by the embodiment of the application can identify the active power and reactive working condition control module key parameters of the doubly-fed wind turbine generator during the symmetrical and asymmetrical low voltage ride through period and after the voltage recovery based on the least square method, can fully consider the differences of control strategies of different wind turbine generator manufacturers and converter manufacturers, and can effectively and accurately identify the doubly-fed wind turbine generator low voltage ride through model key parameters.

In an embodiment of the method for processing electromechanical transient data of the doubly-fed wind turbine generator, referring to fig. 2, the step S101 may further specifically include the following contents:

step S201: and acquiring measured data of terminal voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator under the low-voltage ride-through working condition.

Optionally, the present application may obtain, for 16 low voltage ride through test conditions of the doubly-fed wind turbine, measured data of the terminal voltage, the active power, the reactive power, the active current, and the reactive current of the doubly-fed wind turbine under each low voltage ride through condition one by one, and convert the measured data into a time resolution that is the same as the PSD-BPA electromechanical transient simulation, as specifically shown in table 1 below.

TABLE 1 double-fed wind turbine generator system low voltage ride through test condition

The step S102 may further specifically include the following steps:

step S202: and determining an active power control mode of the doubly-fed wind turbine generator during low voltage ride through, an active climbing initial value control mode after low voltage ride through, an active climbing mode after low voltage ride through, a reactive power control mode of the doubly-fed wind turbine generator during low voltage ride through and a reactive power control mode after low voltage ride through according to the measured data of the generator terminal voltage, the active power, the reactive power, the active current and the reactive current and a least square method parameter identification rule.

Optionally, when the active control module parameters of the doubly-fed wind turbine generator during and after the low voltage ride through are identified, an active power control mode of the doubly-fed wind turbine generator during the low voltage ride through, an active climbing initial value mode after the low voltage ride through, and an active climbing mode after the low voltage ride through need to be identified.

Optionally, when identifying the reactive power control module parameters during and after the low voltage ride through of the doubly-fed wind turbine generator, the parameters need to be determined for the symmetric low voltage and the asymmetric low voltage respectively.

In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine generator, referring to fig. 3, step S202 may further include the following steps:

step S301: and determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulated value and an actual measured value in the low voltage ride through process.

Step S302: and determining the percentage estimation value of the active current according to a least square method, and calculating a second least square error of the simulated value and the measured value of the active current in the low voltage ride through process.

Step S303: and determining an active power estimated value according to a least square method, and calculating a third least square error of an active current simulated value and an actual measured value in the low voltage ride through process.

Step S304: and determining the percentage estimation value of the active power according to a least square method, and calculating a fourth least square error of the simulated value and the measured value of the active current in the low voltage ride through process.

Step S305: and comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining an active power control mode corresponding to the minimum numerical value as an active power control mode of the doubly-fed wind turbine generator set during the low voltage ride through period.

Specifically, referring to fig. 15, the active power control modes and parameters of the doubly-fed wind turbine during the low voltage ride through period are identified, and the active power control modes of the doubly-fed wind turbine during the low voltage ride through period in the current PSD-BPA are divided into four types, which are respectively:

1) specifying an active current value;

2) specifying the percentage of active current in the initial current;

3) specifying an active power value;

4) the active power is specified as a percentage of the initial power.

And identifying key parameters in the four modes one by one, and calculating the least square estimation error of the active current.

1) According to table 1, there are 16 fault scenes in the low voltage ride through of the doubly-fed wind turbine, where n is the number of actually measured data points of the active current during the low voltage ride through period, and i is the actually measured value of the active current corresponding to the ith data point in the kth fault scene_d,i,kThe following optimization model was established

Wherein k ∈ [1,16 ]]Indicates that k belongs to the 16 failure scenario sets in table 1,

is an active current estimate. Identifying the active current estimation value in the mode according to the least square estimation principle

And calculating the least square estimation error of the active current in the mode

2) Setting an initial value before active current fault to be i under the k-th fault scene_d0,kThe following optimization model was established

Wherein h is^*Is an estimate of the percentage of active current to the initial current. Identifying the percentage estimate h in this manner according to the least squares estimation principle^*And calculating a least squares estimation error

3) Setting the steady-state value of generator terminal voltage of the doubly-fed wind turbine generator during fault period to be u under the kth fault scene_kThe following optimization model was established

Wherein p is^*Is an active power estimate. Identifying an active power estimate p according to a least squares estimation principle^*And calculating a least squares estimation error

4) Calculating least square error epsilon of double-fed wind turbine generator set in mode of specifying percentage of active power to initial power₄Firstly, an estimated value g of the percentage of the active power to the initial power needs to be calculated^*. Setting an initial value of active power to be p under the k-th fault scene_d0,kThe following optimization model was established

Wherein, g^*Is an estimate of the percentage of active power to the initial power. Identifying the power percentage estimation value g in the mode according to the least square estimation principle^*And calculating least square estimation error in the mode

Comparing epsilon₁、ε₂、ε₃And ε₄The mode with the minimum corresponding numerical value and error is the active power control of the doubly-fed wind turbine generator during the low voltage ride through periodThe preparation method is adopted.

In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine generator, referring to fig. 4, step S202 may further specifically include the following contents:

step S401: and determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulated value and an actual measured value after low voltage ride through.

Step S402: and determining the percentage estimation value of the active current according to a least square method, and calculating a second least square error of the simulated value and the measured value of the active current after the low voltage ride through.

Step S403: and determining an active power estimated value according to a least square method, and calculating a third least square error of an active current simulated value and an actual measured value after low voltage ride through.

Step S404: and determining the percentage estimation value of the active power according to a least square method, and calculating a fourth least square error of the simulated value and the measured value of the active current after the low voltage ride through.

Step S405: and comparing the first least square error, the second least square error, the third least square error and the fourth least square error, and determining the control mode of the active climbing initial value corresponding to the minimum numerical value as the control mode of the active climbing initial value of the double-fed wind turbine generator set after low voltage ride through.

Specifically, the method and the parameter for identifying the initial value of the active climbing after the low voltage ride through of the doubly-fed wind turbine generator set are disclosed, and there are four methods for the initial value of the active climbing after the low voltage ride through in the current PSD-BPA, which are respectively as follows:

1) specifying an active current value;

2) specifying the percentage of active current in the initial current;

3) specifying an active power value;

4) the active power is specified as a percentage of the initial power. And identifying key parameters in the four modes one by one, and calculating the least square estimation error of the active current.

1) Setting an active current value corresponding to the voltage recovery moment in the kth fault scene as i_d,b,kThe following optimization model was established

Wherein,

the estimated value of the initial value of the active current after low voltage ride through is obtained, and the least square estimation error under the mode is calculated

2) The following optimization model was established

Wherein H^*The estimation value of the percentage of the active current to the initial current at the low voltage recovery moment is obtained. Identifying the percentage estimate H in this manner according to the least squares estimation principle^*And calculating a least squares estimation error

3) The following optimization model was established

Wherein,

is an estimated value of an initial value of active power at the time of voltage recovery, u_0,kThe voltage is the measured value of the voltage corresponding to the voltage recovery time. Identifying an estimated value of an initial value of active power according to a least square estimation principle

And calculating a least squares estimation error

4) The following optimization model was established

Wherein G is^*The estimated value of the percentage of the active power in the initial power at the voltage recovery moment is obtained. Identifying the power percentage estimate G in this manner according to the least squares estimation principle^*And calculating least square estimation error in the mode

Comparing epsilon₅、ε₆、ε₇And ε₈The mode corresponding to the numerical value and the minimum error is the mode of the active climbing initial value of the doubly-fed wind turbine generator after the low voltage ride through.

In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine generator, referring to fig. 5, step S202 may further specifically include the following steps:

step S501: and if the active current of the double-fed wind turbine generator set after the low voltage ride through is the curve and is recovered immediately, judging that the active climbing mode of the double-fed wind turbine generator set after the low voltage ride through is the immediate recovery.

Step S502: and if the active current of the double-fed wind turbine generator set after low voltage ride through is slope recovery, determining a slope estimation value when the slope rises according to a least square method, and determining the active climbing mode of the corresponding double-fed wind turbine generator set after low voltage ride through according to the slope estimation value.

Specifically, active climbing modes and parameters of the doubly-fed wind turbine generator after low voltage ride through are identified, and the active climbing modes after low voltage ride through in the current PSD-BPA are divided into two types:

1) recovering immediately;

2) rising at a specified slope.

If the active current curve of the doubly-fed wind turbine generator recovers immediately after the low voltage passes through, the method is the first method, and parameter identification is not needed.

If the active current is slope recovery after the double-fed wind turbine generator passes through the low voltage, identifying a slope estimated value k^*。

Let the voltage recovery time be t₁Voltage recovery time to active powerThe number of data points between the horizontal moments before the fault is recovered is N, the simulation time interval of PSD-BPA is delta t, and the measured value corresponding to the kth fault scene of the jth point of the active current after the voltage is recovered is i_d,a,j,kAt time t₁+ (j-1) Δ t, the following optimization model was established

Slope estimation value k under active slope recovery mode identified through least square estimation principle^*。

In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine generator, step S202 may further include the following steps:

Specifically, referring to fig. 16, a reactive power control mode and parameters of the doubly-fed wind turbine generator during the symmetric low-voltage ride-through period are identified, and currently, four modes are available for controlling the reactive power of the doubly-fed wind turbine generator during the symmetric low-voltage ride-through period in the PSD-BPA, which are respectively:

1) a voltage control reactive current mode is adopted;

2) specifying the manner of the curve;

3) specifying a reactive power value;

4) a reactive current value is specified.

Because the actual wind turbine generator system adopts the first mode under the symmetric fault, the method mainly identifies two parameters of the first mode and the voltage reference value estimated value u^*And the estimated value K of the reactive power adjustment coefficient^*. As can be seen from Table 1, the doubly-fed wind turbine generator symmetric low-voltage ride-through has 8 fault scenes, namely scene 1-scene 8, and the ith data point of the doubly-fed wind turbine generator low-voltage ride-through is set to be kth (k belongs to [1,8 ]]) The corresponding reactive current measured value under each fault scene is i_q,i,kThe following optimization model was established

Identifying voltage reference value estimated value u according to least square estimation principle^*And the estimated value K of the reactive power adjustment coefficient^*。

In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine generator, referring to fig. 6, step S202 may further specifically include the following steps:

step S601: and determining a reactive current estimation value according to a least square method, and calculating a first least square error between a reactive current simulation value and a measured value during the asymmetric low-voltage ride-through.

Step S602: and calculating a second least square error between the reactive current simulated value and the measured value in the asymmetric voltage ride through period according to the voltage reference value estimated value and the reactive power adjusting coefficient estimated value.

Step S603: and comparing the first least square error with the second least square error, and determining a reactive power control mode in a low voltage ride through period corresponding to the minimum numerical value as a reactive power control mode of the doubly-fed wind turbine generator in an asymmetric low voltage ride through period.

Specifically, referring to fig. 16, a reactive power control mode and parameters during an asymmetric low voltage ride through period of the doubly-fed wind turbine generator are identified, and currently, there are two main modes for controlling the reactive power during the asymmetric low voltage ride through period of the doubly-fed wind turbine generator in the PSD-BPA, which are respectively:

1) specifying a reactive current value;

2) the same control method as the positive sequence is adopted.

1) Reactive current estimation value during asymmetric low-voltage ride through period of doubly-fed wind turbine generator needing to be identified

According to the table 1, the asymmetric low-voltage ride through of the doubly-fed wind turbine generator has 8 fault scenes, see scene 9-scene 16, and the ith data point of the asymmetric low-voltage ride through of the doubly-fed wind turbine generator is located at the kth (k belongs to [9,16 ]]) The corresponding reactive current measured value under each fault scene is i_q,i,k,NThe following optimization model was established

Identification of reactive current estimation value during asymmetric low voltage ride through according to least square estimation principle

And calculating least square estimation error under the mode

2) Parameter identification is not needed, and the estimation value u is estimated according to the symmetrical low voltage ride through voltage reference value of the doubly-fed wind turbine generator^*And the estimated value K of the reactive power adjustment coefficient^*Calculating least square estimation error of double-fed wind turbine generator under asymmetric low voltage ride through

Comparing epsilon₉And ε₁₀And the mode corresponding to the numerical value and the minimum error is the reactive power control mode of the doubly-fed wind turbine generator during the asymmetric low voltage ride through period.

Specifically, identifying reactive power control modes and parameters of a double-fed wind turbine generator after a low voltage ride through period, four modes are currently adopted for reactive power control of the double-fed wind turbine generator after the low voltage ride through in the PSD-BPA, and the four modes are respectively as follows:

1) keeping the initial state;

2) holding the fixed value for a period of time;

3) a decrease in exponential form;

4) the diagonal form decreases. And selecting a control mode according to the curve shape of the reactive power after the low voltage of the doubly-fed wind turbine generator passes through, and not needing to carry out parameter identification.

In order to fully consider differences of control strategies of different wind turbine manufacturers and converter manufacturers and effectively and accurately identify key parameters of a low voltage ride through model of a doubly-fed wind turbine, the application provides an embodiment of a doubly-fed wind turbine electromechanical transient data processing device for realizing all or part of contents of a doubly-fed wind turbine electromechanical transient data processing method, and the embodiment of the doubly-fed wind turbine electromechanical transient data processing device is shown in fig. 7, and the doubly-fed wind turbine electromechanical transient data processing device specifically comprises the following contents:

and the basic parameter obtaining module 10 is used for obtaining basic parameters of the doubly-fed wind turbine generator under the low voltage ride through condition.

And the control data determining module 20 is configured to determine active control data and reactive control data of the doubly-fed wind turbine generator during and after the low voltage ride through period and the low voltage ride through period of the doubly-fed wind turbine generator according to the basic parameters and the least square parameter identification rule.

And the fault judgment module 30 is configured to determine the low voltage ride through characteristic of the doubly-fed wind turbine generator according to the active control data, the reactive control data, and the low voltage ride through implementation manner data and the low voltage ride through state judgment data of the doubly-fed wind turbine generator.

From the above description, the double-fed wind turbine generator electromechanical transient data processing device provided by the embodiment of the application can identify the active power and reactive working condition control module key parameters of the double-fed wind turbine generator during the symmetrical and asymmetrical low voltage ride through period and after the voltage recovery based on the least square method, can fully consider the differences of control strategies of different wind turbine generator manufacturers and converter manufacturers, and can effectively and accurately identify the double-fed wind turbine generator low voltage ride through model key parameters.

In an embodiment of the present invention, referring to fig. 8, the basic parameter obtaining module 10 includes:

and the actual measurement data acquisition unit 11 is used for acquiring actual measurement data of terminal voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator under the low-voltage ride-through working condition.

The control data determination module 20 includes:

and the least square method identification unit 21 is configured to determine an active power control mode of the doubly-fed wind turbine generator during low voltage ride through, an active hill climbing initial value control mode after low voltage ride through, an active hill climbing mode after low voltage ride through, a reactive power control mode of the doubly-fed wind turbine generator during low voltage ride through, and a reactive power control mode after low voltage ride through according to the measured data of the terminal voltage, the active power, the reactive power, the active current, and the reactive current and the least square method parameter identification rule.

In an embodiment of the present doubly-fed wind turbine generator electromechanical transient data processing apparatus, referring to fig. 9, the least squares identifying unit 21 includes:

and the active current estimated value error calculating subunit 211 is configured to determine an active current estimated value according to a least square method, and calculate a first least square error of an active current simulated value and an actual measured value in a low voltage ride through process.

And an error calculating subunit 212 for calculating the percentage estimated value of the active current during the ride through, and configured to determine the percentage estimated value of the active current according to a least square method, and calculate a second least square error of the simulated value and the measured value of the active current during the low voltage ride through.

And the active power estimated value error calculating subunit 213 during ride-through is configured to determine an active power estimated value according to a least square method, and calculate a third least square error of an active current simulated value and an actual measured value in a low voltage ride-through process.

And an error calculating subunit 214 for the percentage estimation value of active power during ride-through, configured to determine the percentage estimation value of active power according to a least square method, and calculate a fourth least square error of the simulated value and the measured value of the active current during low voltage ride-through.

An active power control mode determining subunit 215, configured to compare the first least square error, the second least square error, the third least square error, and the fourth least square error, and determine, as the active power control mode of the doubly-fed wind turbine generator during the low voltage ride through, the active power control mode corresponding to the smallest numerical value.

In an embodiment of the present doubly-fed wind turbine generator electromechanical transient data processing apparatus, referring to fig. 10, the least squares identifying unit 21 includes:

and the post-ride-through active current estimated value error calculation subunit 216 is configured to determine an active current estimated value according to a least square method, and calculate a first least square error of the simulated value and the measured value of the active current after low-voltage ride-through.

And the post-ride-through current percentage estimation value error calculation subunit 217 is configured to determine an active current percentage estimation value according to a least square method, and calculate a second least square error of the simulated value and the measured value of the active current after low-voltage ride-through.

The post-ride through active power estimation error calculation subunit 218 is configured to determine an active power estimation value according to a least square method, and calculate a third least square error of the simulated value and the measured value of the active current after the low voltage ride through.

And the post-ride through active power percentage estimation value error calculation subunit 219 is configured to determine an active power percentage estimation value according to a least square method, and calculate a fourth least square error of the real measurement value and the simulated value of the active current after low voltage ride through.

And the active climbing initial value control mode determining subunit 220 is configured to compare the first least square error, the second least square error, the third least square error and the fourth least square error, and determine the active climbing initial value control mode corresponding to the smallest numerical value as the active climbing initial value control mode of the doubly-fed wind turbine generator after low voltage ride through.

In an embodiment of the present invention, referring to fig. 11, the least square method identifying unit 21 includes:

the first active climbing mode determining subunit 221 is configured to determine that the active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through is immediately recovered if the active current of the doubly-fed wind turbine generator after the low voltage ride through is a curve.

And a second active climbing mode determining subunit 222, configured to determine, according to a least square method, a slope estimation value when a slope rises if the active current of the doubly-fed wind turbine generator after the low voltage ride through is slope recovery, and determine, according to the slope estimation value, an active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through of the corresponding doubly-fed wind turbine generator.

In an embodiment of the present doubly-fed wind turbine generator electromechanical transient data processing apparatus, referring to fig. 12, the least squares identifying unit 21 includes:

and the reactive power control mode determining subunit 223 is used for determining a voltage reference value estimation value and a reactive power adjustment coefficient estimation value in a voltage control reactive current mode during the symmetrical low voltage ride through according to a least square method, and determining a reactive power control mode of the corresponding doubly-fed wind turbine generator set during the symmetrical low voltage ride through.

In an embodiment of the present invention, referring to fig. 13, the doubly-fed wind turbine generator electromechanical transient data processing apparatus includes:

the first error determination subunit 224 is configured to determine the estimated reactive current value according to a least square method during the asymmetric low voltage ride through, and calculate a first least square error between the simulated reactive current value and the measured reactive current value during the asymmetric low voltage ride through.

And a second error determining subunit 225 for determining a second least square error between the reactive current simulated value and the measured value during the asymmetric voltage ride through according to the voltage reference value estimated value and the reactive power adjusting coefficient estimated value.

And the reactive power control mode determining subunit 226 is configured to compare the first least square error and the second least square error, and determine the reactive power control mode during the low voltage ride through period corresponding to the smallest numerical value as the reactive power control mode of the doubly-fed wind turbine generator during the asymmetric low voltage ride through period.

In an embodiment of the present invention, referring to fig. 14, the least square method identifying unit 21 includes:

and the reactive power control mode after low voltage ride through determining subunit 227 is used for determining a corresponding reactive power control mode after low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine generator after low voltage ride through.

In order to fully consider differences of control strategies of different wind turbine manufacturers and converter manufacturers and effectively and accurately identify key parameters of a low voltage ride through model of a doubly-fed wind turbine, an embodiment of an electronic device for realizing all or part of contents in a method for processing electromechanical transient data of the doubly-fed wind turbine is provided in the application from a hardware level, and the electronic device specifically comprises the following contents:

a processor (processor), a memory (memory), a communication Interface (Communications Interface), and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the communication interface is used for realizing information transmission between the double-fed wind turbine generator electromechanical transient data processing device and relevant equipment such as a core service system, a user terminal and a relevant database; the logic controller may be a desktop computer, a tablet computer, a mobile terminal, and the like, but the embodiment is not limited thereto. In this embodiment, the logic controller may be implemented with reference to the embodiment of the method for processing the electromechanical transient data of the doubly-fed wind turbine generator and the embodiment of the apparatus for processing the electromechanical transient data of the doubly-fed wind turbine generator in the embodiment, and the contents of the logic controller are incorporated herein, and repeated details are not repeated.

It is understood that the user terminal may include a smart phone, a tablet electronic device, a network set-top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), an in-vehicle device, a smart wearable device, and the like. Wherein, intelligence wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..

In practical applications, part of the doubly-fed wind turbine generator electromechanical transient data processing method may be executed on the electronic device side as described above, or all operations may be completed in the client device. The selection may be specifically performed according to the processing capability of the client device, the limitation of the user usage scenario, and the like. This is not a limitation of the present application. The client device may further include a processor if all operations are performed in the client device.

The client device may have a communication module (i.e., a communication unit), and may be communicatively connected to a remote server to implement data transmission with the server. The server may include a server on the task scheduling center side, and in other implementation scenarios, the server may also include a server on an intermediate platform, for example, a server on a third-party server platform that is communicatively linked to the task scheduling center server. The server may include a single computer device, or may include a server cluster formed by a plurality of servers, or a server structure of a distributed apparatus.

Fig. 17 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 17, the electronic device 9600 can include a central processor 9100 and a memory 9140; the memory 9140 is coupled to the central processor 9100. Notably, this fig. 17 is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.

In an embodiment, the electromechanical transient data processing method function of the doubly-fed wind turbine generator set can be integrated into the central processor 9100. The central processor 9100 may be configured to control as follows:

From the above description, the electronic device provided in the embodiment of the application identifies the key parameters of the active power and reactive working condition control module during the symmetric and asymmetric low voltage ride through periods of the doubly-fed wind turbine generator and after the voltage recovery based on the least square method, can fully consider the differences of control strategies of different wind turbine generator manufacturers and converter manufacturers, and effectively and accurately identifies the key parameters of the doubly-fed wind turbine generator low voltage ride through model.

In another embodiment, the double-fed wind turbine generator electromechanical transient data processing apparatus may be configured separately from the central processing unit 9100, for example, the double-fed wind turbine generator electromechanical transient data processing apparatus may be configured as a chip connected to the central processing unit 9100, and the double-fed wind turbine generator electromechanical transient data processing method function is realized by the control of the central processing unit.

As shown in fig. 17, the electronic device 9600 may further include: a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 also does not necessarily include all of the components shown in fig. 17; in addition, the electronic device 9600 may further include components not shown in fig. 17, which can be referred to in the related art.

As shown in fig. 17, a central processor 9100, sometimes referred to as a controller or operational control, can include a microprocessor or other processor device and/or logic device, which central processor 9100 receives input and controls the operation of the various components of the electronic device 9600.

The memory 9140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 9100 can execute the program stored in the memory 9140 to realize information storage or processing, or the like.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. Power supply 9170 is used to provide power to electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, an LCD display, but is not limited thereto.

The memory 9140 can be a solid state memory, e.g., Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 9140 could also be some other type of device. Memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 being used for storing application programs and function programs or for executing a flow of operations of the electronic device 9600 by the central processor 9100.

The memory 9140 can also include a data store 9143, the data store 9143 being used to store data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers for the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, contact book applications, etc.).

The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. The communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, which may be the same as in the case of a conventional mobile communication terminal.

Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 9110 is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and receive audio input from the microphone 9132, thereby implementing ordinary telecommunications functions. The audio processor 9130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100, thereby enabling recording locally through the microphone 9132 and enabling locally stored sounds to be played through the speaker 9131.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all the steps in the doubly-fed wind turbine generator electromechanical transient data processing method with the main execution body being the server or the client in the foregoing embodiment, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements all the steps of the doubly-fed wind turbine generator electromechanical transient data processing method with the main execution body being the server or the client in the foregoing embodiment, for example, when the processor executes the computer program, the processor implements the following steps:

From the above description, the computer-readable storage medium provided in the embodiment of the application identifies the key parameters of the active power and reactive working condition control modules during the symmetric and asymmetric low voltage ride through periods of the doubly-fed wind turbine generator and after the voltage recovery based on the least square method, can fully consider the differences of control strategies of different wind turbine generator manufacturers and converter manufacturers, and effectively and accurately identify the key parameters of the doubly-fed wind turbine generator low voltage ride through model.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, 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 (devices), 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.

The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims

1. A doubly-fed wind turbine generator electromechanical transient data processing method is characterized by comprising the following steps:

2. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 1, wherein the obtaining of the basic parameters of the doubly-fed wind turbine generator set under the low voltage ride through condition comprises:

3. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 2, wherein the determining an active power control mode of the doubly-fed wind turbine generator set during the low voltage ride through according to the measured data of the active power and the active current and a least square parameter identification rule comprises:

4. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 2, wherein the determining of the control mode of the active climbing initial value of the doubly-fed wind turbine generator set after low voltage ride through according to the measured data of the active power and the active current and the least square parameter identification rule comprises:

5. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 2, wherein the determining of the active climbing mode of the doubly-fed wind turbine generator set after low voltage ride through according to the measured data of the active power and the active current and the least square parameter identification rule comprises:

6. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 2, wherein the determining the reactive power control mode of the doubly-fed wind turbine generator set during the low voltage ride through according to the measured data of the reactive power and the reactive current and a least square parameter identification rule comprises:

7. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 6, wherein the determining the reactive power control mode of the doubly-fed wind turbine generator set during the low voltage ride through according to the measured data of the reactive power and the reactive current and a least square parameter identification rule comprises:

8. The method for processing the electromechanical transient data of the doubly-fed wind turbine generator set according to claim 2, wherein the determining the reactive power control mode of the doubly-fed wind turbine generator set after low voltage ride through according to the measured data of the reactive power and the reactive current and a least square parameter identification rule comprises:

9. The utility model provides a doubly-fed wind turbine generator system electromechanical transient state data processing apparatus which characterized in that includes:

10. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 9, wherein the basic parameter obtaining module comprises:

the control data determination module includes:

11. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

12. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

13. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

14. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

15. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

16. The doubly-fed wind turbine generator electromechanical transient data processing device of claim 10, wherein the least squares identification unit comprises:

17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for processing electromechanical transient data of a doubly-fed wind turbine as claimed in any one of claims 1 to 8 when executing the program.

18. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for processing electromechanical transient data of a doubly-fed wind turbine as claimed in any one of claims 1 to 8.