CN113806907B - Method and device for processing electromechanical transient data of doubly-fed wind turbine - Google Patents

Method and device for processing electromechanical transient data of doubly-fed wind turbine Download PDF

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CN113806907B
CN113806907B CN202110888710.2A CN202110888710A CN113806907B CN 113806907 B CN113806907 B CN 113806907B CN 202110888710 A CN202110888710 A CN 202110888710A CN 113806907 B CN113806907 B CN 113806907B
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wind turbine
doubly
low voltage
active
voltage ride
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CN113806907A (en
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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
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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
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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
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Abstract

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

Description

Method and device for processing electromechanical transient data of doubly-fed wind turbine
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 doubly-fed wind turbine.
Background
With the increase of the installed capacity of wind power, the influence of large-scale wind power grid connection on the safe and stable operation of the power system is increasingly remarkable, and the low-voltage ride through characteristic of the wind turbine generator becomes an important factor for influencing the electromechanical transient stability of the new energy power system. At present, the doubly-fed wind turbine generator has become a main power machine type of wind power equipment manufacturers 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 doubly-fed wind turbine generator is very sensitive to power grid faults, and the characteristics of the doubly-fed wind turbine generator are simultaneously influenced by hardware protection circuit switching and a rotor converter control strategy during low voltage ride through.
The inventor finds that in actual production, different manufacturers adopt different protection and control strategies, but model details are not mastered by operators of the power grid company. How to identify the low-voltage ride through key parameters of the wind turbine according to the measured data of the doubly-fed wind turbine under different low-voltage ride through working conditions is a basis for guaranteeing safe and stable operation of a power grid.
Disclosure of Invention
Aiming at the problems in the prior art, the application provides the method and the device for processing the electromechanical transient data of the doubly-fed wind turbine, which can fully consider the 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 the doubly-fed wind turbine.
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:
basic parameters of the doubly-fed wind turbine generator under the low-voltage ride-through working condition are obtained;
according to the basic parameters and the least square method parameter identification rule, determining active control data and reactive control data of the doubly-fed wind turbine generator during and after low voltage ride through;
And determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine.
Further, the obtaining basic parameters of the doubly-fed wind turbine generator under the low voltage ride through condition includes:
obtaining actual measurement data of machine end voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine 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 set 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 set during low voltage ride through and a reactive power control mode after low voltage ride through according to the actual measurement data of the voltage, the active power, the active current and the reactive current of the machine end and the least square parameter identification rule.
Further, the determining, according to the actual measurement data of the active power and the active current and the least square method parameter identification rule, an active power control mode of the doubly-fed wind turbine generator during the low voltage ride through period includes:
determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulation value and an actual measurement value in a low voltage ride through process;
determining an active current percentage estimated 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 simulation value and an actual measurement value in the low voltage ride through process;
determining an estimated value of the percentage of active power 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 value as an active power control mode of the doubly-fed wind turbine generator set during low voltage ride through.
Further, the determining the active climbing initial value control mode of the doubly-fed wind turbine generator after low voltage ride through according to the actual measurement data of the active power and the active current and the least square method 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 simulation value and an actual measurement value after low voltage ride through;
determining an active current percentage estimated 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 simulation value and an actual measurement value after low voltage ride through;
determining an active power percentage estimated 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 an active climbing initial value control mode corresponding to the minimum value as an active climbing initial value control mode of the doubly-fed wind turbine after low voltage ride through.
Further, the determining an active climbing mode of the doubly-fed wind turbine generator after low voltage ride through according to the actual measurement data of the active power and the active current and a least square method parameter identification rule includes:
if the active current of the doubly-fed wind turbine generator after the low voltage ride through is the curve and is recovered immediately, judging that the active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through is recovered immediately;
if the active current of the doubly-fed wind turbine generator after the low voltage ride through is slope recovery, determining a slope estimation value when the slope rises according to a least square method, and determining an active climbing mode of the corresponding doubly-fed wind turbine generator after the low voltage ride through according to the slope estimation value.
Further, the determining, according to the actually measured data of the reactive power and the reactive current and the least square method parameter identification rule, a reactive power control mode of the doubly-fed wind turbine generator during the low voltage ride through period includes:
and determining a voltage reference value estimated value and a reactive power adjustment coefficient estimated 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 during the symmetrical low voltage ride through.
Further, the determining, according to the actually measured data of the reactive power and the reactive current and the least square method parameter identification rule, a reactive power control mode of the doubly-fed wind turbine generator during the low voltage ride through period includes:
determining a reactive current estimated value according to a least square method, and calculating a first least square error between a reactive current simulation value and an actual measurement value during asymmetric low voltage ride through;
calculating a second least square error between the reactive current simulation value and the actual measurement value during the asymmetric voltage crossing according to the voltage reference value estimation value and the reactive adjustment coefficient estimation value;
and comparing the first least square error with the second least square error, and determining a reactive power control mode during the low voltage ride through period corresponding to the minimum value as a reactive power control mode of the double-fed wind turbine generator set during the asymmetric low voltage ride through period.
Further, the determining a reactive power control mode of the doubly-fed wind turbine generator after low voltage ride through according to the actually measured data of the reactive power and the reactive current and a least square method parameter identification rule includes:
and determining a corresponding reactive power control mode after the low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine after the low voltage ride through.
In a second aspect, the present application provides an electromechanical transient data processing device of a doubly-fed wind turbine, including:
the basic parameter acquisition module is used for acquiring basic parameters of the doubly-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 during and after the low voltage ride through of the doubly-fed wind turbine according to the basic parameters and the least square method parameter identification rule;
the fault judging module is used for determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judging data of the doubly-fed wind turbine.
Further, the basic parameter obtaining module includes:
the real-time data acquisition unit is used for acquiring real-time data of machine end 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 determining module includes:
the least square method identification unit is used for determining an active power control mode, 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 and a reactive power control mode after low voltage ride-through of the doubly-fed wind turbine generator according to the actual measurement data of the machine 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 recognition unit includes:
the active current estimation value error calculation subunit is used for determining an active current estimation value according to a least square method and calculating a first least square error of an active current simulation value and an actual measurement value in the low voltage ride-through process;
the active current percentage estimated value error calculation subunit is used for determining an active current percentage estimated 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 estimation value error calculation subunit is used for determining an active power estimation value according to a least square method and calculating a third least square error of an active current simulation value and an actual measurement value in the low voltage ride-through process;
the active power percentage estimated value error calculation subunit is used for determining an active power percentage estimated 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 value as the active power control mode of the doubly-fed wind turbine generator during the low voltage ride through.
Further, the least square method recognition unit includes:
the active current estimation value error calculation subunit after the pass is used for determining an active current estimation value according to a least square method and calculating a first least square error of an active current simulation value and an actual measurement value after the low voltage pass;
the error calculation subunit of the current percentage estimated value after passing through is used for determining an active current percentage estimated 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 passing through;
the active power estimated value error calculation subunit after passing through 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 simulation value and an actual measurement value after low voltage passing through;
the error calculation subunit of the active power percentage estimated value after passing through is used for determining an active power percentage estimated 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 passing 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 an active climbing initial value control mode corresponding to the minimum value as an active climbing initial value control mode of the doubly-fed wind turbine after low voltage ride through.
Further, the least square method recognition unit includes:
the first active climbing mode determining subunit is used for determining that the active climbing mode of the doubly-fed wind turbine generator is recovered immediately after the low-voltage ride through if the active current of the doubly-fed wind turbine generator is recovered immediately after the 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 doubly-fed wind turbine generator after the low voltage ride through is recovered as the slope, and determining the corresponding active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through according to the slope estimation value.
Further, the least square method recognition unit includes:
and the reactive power control mode determining subunit is used for determining a voltage reference value estimated value and a reactive power adjustment coefficient estimated value in the voltage control reactive current mode in the symmetrical low voltage ride through period according to a least square method and determining the reactive power control mode of the corresponding doubly-fed wind turbine generator in the symmetrical low voltage ride through period.
Further, the least square method recognition unit includes:
the first error determination subunit is used for determining a reactive current estimated value according to a least square method and calculating a first least square error between a reactive current simulation value and an actual measurement value during the asymmetric low voltage ride through;
A second error determination subunit during asymmetric low voltage ride through, configured to calculate a second least square error between a reactive current simulation value and an actual measurement value during the asymmetric voltage ride through according to the voltage reference value estimation value and the reactive adjustment coefficient estimation value;
and the asymmetric low-voltage ride through period reactive power control mode determining subunit is used for comparing the first least square error and the second least square error, and determining the low-voltage ride through period reactive power control mode corresponding to the minimum value as the reactive power control mode of the double-fed wind turbine generator set in the asymmetric low-voltage ride through period.
Further, the least square method recognition unit includes:
and the low-voltage-ride-through reactive power control mode determining subunit is used for determining a corresponding low-voltage-ride-through reactive power control mode according to the shape of the reactive power curve of the doubly-fed wind turbine generator system after the low voltage ride-through.
In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the steps of the method for processing electromechanical transient data of a double-fed wind turbine are implemented when the processor executes 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 method and the device for processing the electromechanical transient data of the doubly-fed wind turbine can be used for identifying key parameters of active power and reactive power working condition control modules during symmetric and asymmetric low-voltage ride-through periods and after voltage recovery of the doubly-fed wind turbine based on a least square method, so that the difference of control strategies of different wind turbine manufacturers and converter manufacturers can be fully considered, and key parameters of a low-voltage ride-through model of the doubly-fed wind turbine 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 that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is one of flow diagrams of an electromechanical transient data processing method of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 2 is a second flow chart of a method for processing electromechanical transient data of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 3 is a third flow chart of an electromechanical transient data processing method of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 4 is a flowchart of a method for processing electromechanical transient data of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 5 is a fifth flow chart of an electromechanical transient data processing method of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 6 is a flowchart of a method for processing electromechanical transient data of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 7 is a block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 8 is a second block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 9 is a third block 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 block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 11 is a fifth block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 12 is a sixth block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 13 is a seventh block diagram of an electromechanical transient data processing device of a doubly-fed wind turbine in an embodiment of the present application;
FIG. 14 is a diagram illustrating a structure of an electromechanical transient data processing device of a doubly-fed wind turbine according to an embodiment of the present disclosure;
FIG. 15 is a schematic diagram of a method for processing electromechanical transient data of a doubly-fed wind turbine according to an embodiment of the present application;
FIG. 16 is a second schematic diagram of a method for processing electromechanical transient data of a doubly-fed wind turbine 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
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, 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 apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
According to the method and the device for processing the electromechanical transient data of the doubly-fed wind turbine, different protection and control strategies are adopted by different manufacturers, but model details are not mastered by operators of a power grid company.
In order to fully consider the difference 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 method, referring to fig. 1, wherein the doubly-fed wind turbine electromechanical transient data processing method specifically comprises the following contents:
step S101: and obtaining basic parameters of the doubly-fed wind turbine under the low-voltage ride-through working condition.
Optionally, the method and the device can acquire actual measurement data of voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator at each low-voltage ride through working condition one by one aiming at 16 low-voltage ride through testing working conditions of the doubly-fed wind turbine generator, and convert the actual measurement data into time resolution identical to that of PSD-BPA electromechanical transient simulation.
Step S102: and determining active control data and reactive control data during and after the low voltage ride through of the doubly-fed wind turbine according to the basic parameters and the least square method parameter identification rule.
Optionally, the method and the device can identify key parameters of the active power and reactive power working condition control module during symmetric and asymmetric low-voltage ride-through periods and after voltage recovery of the doubly-fed wind turbine based on the least square method parameter identification rule, the low-voltage ride-through working conditions cover 16 working conditions of different initial powers, different fault types and different voltage drop depths, and the availability and accuracy of parameter identification results are guaranteed.
Step S103: and determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine.
Optionally, after the active control data and the reactive control data are obtained through the above, the low voltage ride through implementation mode data and 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 characteristics of the doubly-fed wind turbine generator can be obtained.
Optionally, when determining the low voltage ride through characteristic of the doubly-fed wind turbine, the comparison relation between the value of each item of data and the value of the threshold of the low voltage ride through characteristic may be used to determine what type of low voltage ride through characteristic falls into, and any method in the prior art may be used to determine the low voltage ride through characteristic of the doubly-fed wind turbine based on each item of data, which is not specifically limited in this application.
Optionally, the basic parameters of the doubly-fed wind turbine include a wind turbine reference voltage, 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 DC initial voltage of the converter and a DC side capacitor of the converter. These parameters can be obtained from a table of device parameters provided by the wind turbine manufacturer.
Optionally, when determining 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 relevant parameters of crowbar protection after the rotor current of the doubly-fed wind turbine generator is increased or choper protection after the voltage of the direct-current bus is increased. If the doubly-fed wind turbine generator set low-voltage ride through protection adopts a mode of throwing a crowbar circuit, and the crowbar circuit is switched according to rotor current, a crowbar resistance value, a rotor current limit value of a crowbar action, a rotor current value withdrawn after the crowbar action and time for judging the rotor current by the crowbar return are required to be identified; if the low-voltage ride through protection of the doubly-fed wind turbine generator adopts a crowbar circuit switching mode, and the crowbar circuit switches according to the voltage of the direct-current bus, 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 for judging the direct-current voltage by the crowbar return are required to be identified. If the doubly-fed wind turbine generator set low-voltage ride through protection adopts a mode of inputting a chopper circuit, a chopper resistor, a direct-current voltage of chopper action and a direct-current voltage of chopper withdrawal are required to be identified. The parameters can be obtained through a parameter table provided by a doubly-fed wind turbine generator converter manufacturer.
Optionally, when determining the parameters of the low voltage ride through state judging module of the doubly-fed wind turbine generator, because the parameters to be identified by the low voltage ride through state judging module include the voltage type of judging the low voltage ride through, the voltage value entering the low voltage ride through state, the voltage value exiting the low voltage ride through state and the low voltage judging time, the parameters can be obtained through a parameter table provided by a doubly-fed wind turbine generator converter manufacturer.
From the above description, according to the method for processing the electromechanical transient data of the doubly-fed wind turbine, key parameters of active power and reactive power working condition control modules during symmetric and asymmetric low-voltage ride-through periods and after voltage recovery of the doubly-fed wind turbine can be identified based on the least square method, the difference of control strategies of different wind turbine manufacturers and converter manufacturers can be fully considered, and key parameters of a low-voltage ride-through model of the doubly-fed wind turbine can be effectively and accurately identified.
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, referring to fig. 2, the step S101 may further specifically include the following:
step S201: and obtaining actual measurement data of the machine end voltage, the active power, the reactive power, the active current and the reactive current of the doubly-fed wind turbine under the low-voltage ride-through working condition.
Optionally, the present application may acquire, for 16 low voltage ride through test conditions of the doubly-fed wind turbine generator, actual measurement data of voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine generator under each low voltage ride through condition one by one, and convert the actual measurement data into the same time resolution as the electromechanical transient simulation of PSD-BPA, as shown in the following table 1.
Table 1 doubly-fed wind turbine generator low voltage ride through test conditions
The step S102 may specifically include the following:
step S202: and determining an active power control mode of the doubly-fed wind turbine generator set 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 set during low voltage ride through and a reactive power control mode after low voltage ride through according to the actual measurement data of the voltage, the active power, the active current and the reactive current of the machine end and the least square parameter identification rule.
Optionally, when identifying parameters of the active control module during and after the low voltage ride through of the doubly-fed wind turbine, an active power control mode, an active climbing initial value mode and an active climbing mode of the doubly-fed wind turbine during and after the low voltage ride through are required to be identified.
Optionally, when identifying parameters of the reactive power control module during and after the low voltage ride through of the doubly-fed wind turbine, the parameters need to be determined for the symmetrical low voltage and the asymmetrical low voltage respectively.
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, referring to fig. 3, the step S202 may further specifically include the following:
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 simulation value and an actual measurement value in the low voltage ride through process.
Step S302: and determining an estimated value of the percentage of the active current according to a least square method, and calculating a second least square error of the simulation value and the actual measurement 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 simulation value and an actual measurement value in the low voltage ride through process.
Step S304: and determining an estimated value of the percentage of the active power according to a least square method, and calculating a fourth least square error of an actual value and an actual 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 value as an active power control mode of the doubly-fed wind turbine generator set during low voltage ride through.
Specifically, referring to fig. 15, the active power control modes and parameters during the low voltage ride through of the doubly-fed wind turbine are identified, and the active power control modes for the doubly-fed wind turbine during the low voltage ride through in the PSD-BPA are currently divided into four modes:
1) Designating an active current value;
2) Designating the percentage of active current to the initial current;
3) Designating an active power value;
4) The percentage of active power to initial power is specified.
And identifying the key parameters in the four modes one by one, and calculating the least square estimation error of the active current.
1) As can be seen from Table 1, there are 16 fault scenarios in the low voltage ride through of the doubly-fed wind turbine generator, the number of actually measured active current data points during the low voltage ride through is set to be n, and the actually measured active current value corresponding to the ith data point in the kth fault scenario is set to be i d,i,k The following optimization model is establishedWherein k is [1,16 ]]Representing k belonging to the 16 fault scenario sets in table 1,/->Is an active current estimate. Identifying the active current estimation value +_ in this way according to the least squares estimation principle>And calculates the active current least square estimation error +.>
2) Setting the initial value of active current before failure in the kth failure scene as i d0,k The following optimization model is established Wherein h is * Is an estimate of the percentage of active current to the initial current. Identifying the percentage estimation value h in the mode according to the least square estimation principle * And calculates a least squares estimation error
3) Double-fed wind power under kth fault sceneThe steady-state value of the machine terminal voltage during the fault period of the machine set is u k The following optimization model is establishedWherein p is * Is an active power estimate. Identifying an active power estimation value p according to a least squares estimation principle * And calculates the least squares estimation error +.>
4) Calculating the least square error epsilon of the doubly-fed wind turbine generator in a mode that the designated active power occupies the initial power percentage 4 First, an estimated value g of the percentage of active power to the initial power needs to be calculated * . Setting the initial value of active power in the kth fault scene as p d0,k The following optimization model is establishedWherein g * Is an estimate of the percentage of active power to the initial power. Identifying the power percentage estimated value g in the mode according to the least square estimation principle * And calculates the least squares estimation error +.>
Comparison of epsilon 1 、ε 2 、ε 3 And epsilon 4 The mode corresponding to the minimum error is the active power control mode during the low voltage ride through period of the doubly-fed wind turbine.
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, referring to fig. 4, the step S202 may further specifically include the following:
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 simulation value and an actual measurement value after low voltage ride through.
Step S402: and determining an active current percentage estimated value according to a least square method, and calculating a second least square error of the active current simulation value and the actual measurement value after 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 the active current simulation value and the actual measurement value after low voltage ride through.
Step S404: and determining an estimated value of the percentage of the active power according to a least square method, and calculating a fourth least square error of an actual value and an actual value of the active current after 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 an active climbing initial value control mode corresponding to the minimum value as an active climbing initial value control mode of the doubly-fed wind turbine after low voltage ride through.
Specifically, the mode and the parameter of the active climbing initial value after the low voltage ride through of the doubly-fed wind turbine generator are identified, and four modes aiming at the active climbing initial value after the low voltage ride through in the PSD-BPA at present are respectively as follows:
1) Designating an active current value;
2) Designating the percentage of active current to the initial current;
3) Designating an active power value;
4) The percentage of active power to initial power is specified. And identifying the key parameters in the four modes one by one, and calculating the least square estimation error of the active current.
1) Let the active current value corresponding to the voltage recovery time in the kth fault scene be i d,b,k The following optimization model is establishedWherein (1)>Is the estimated value of the initial value of the active current after the low voltage ride through, and calculates the least square estimated error +.>
2) The following optimization model is builtWherein H is * An estimate of the percentage of active current to the initial current at the time of low voltage recovery. Identifying the percentage estimation value H in the mode according to the least square estimation principle * And calculates the least squares estimation error +.>/>
3) The following optimization model is builtWherein (1)>For the initial value estimated value of active power at voltage recovery time, u 0,k The actual measurement value of the voltage corresponding to the voltage recovery time. Identifying the initial value of active power according to least square estimation principle +.>And calculates the least squares estimation error +.>
4) The following optimization model is builtWherein G is * An estimate of the active power as a percentage of the initial power for the voltage recovery time. Identifying the power percentage estimation value G in the mode according to the least square estimation principle * And calculates the least squares estimation error +.>
Comparison of epsilon 5 、ε 6 、ε 7 And epsilon 8 The mode with the smallest error corresponds to the numerical value, namely the mode of the active climbing initial value after the low-voltage ride through of the doubly-fed wind turbine generator.
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, referring to fig. 5, the step S202 may further specifically include the following:
step S501: and if the active current of the doubly-fed wind turbine generator after the low voltage ride through is the curve and is recovered immediately, judging that the active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through is the immediate recovery.
Step S502: if the active current of the doubly-fed wind turbine generator after the low voltage ride through is slope recovery, determining a slope estimation value when the slope rises according to a least square method, and determining an active climbing mode of the corresponding doubly-fed wind turbine generator after the low voltage ride through according to the slope estimation value.
Specifically, the active climbing mode and parameters of the doubly-fed wind turbine generator after low voltage ride through are identified, and the active climbing mode of the PSD-BPA after low voltage ride through is divided into two types at present:
1) Recovering immediately;
2) Rising according to a specified slope.
If the active current curve is recovered immediately after the low voltage ride through of the doubly-fed wind turbine generator, in the first mode, parameter identification is not needed.
If the active current is slope recovery after low voltage ride through of the doubly-fed wind turbine generator, identifying a slope estimated value k * 。
Let the voltage recovery time be t 1 The number of data points between the voltage recovery time and the horizontal time before the active power recovery fault is N, the simulation time interval of PSD-BPA is deltat, and the actual measurement value corresponding to the kth fault scene of the jth point after the active current is recovered is i d,a,j,k At time t 1 ++ (j-1) Δt, the following optimization model is builtIdentifying slope estimation value k in active slope recovery mode through least square estimation principle * 。
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, the step S202 may further specifically include the following:
and determining a voltage reference value estimated value and a reactive power adjustment coefficient estimated 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 during the symmetrical low voltage ride through.
Specifically, referring to fig. 16, the reactive power control modes and parameters during the symmetric low voltage ride through of the doubly-fed wind turbine are identified, and four modes of reactive power control during the symmetric low voltage ride through of the doubly-fed wind turbine in the PSD-BPA currently exist, which are respectively as follows:
1) A mode of controlling reactive current by voltage is adopted;
2) Specifying a curve mode;
3) Designating a reactive power value;
4) Reactive current values are specified.
Because the actual wind turbine generator system adopts the first mode under the symmetrical fault, the two parameters of the first mode are mainly identified, and the voltage reference value estimated value u is estimated * And reactive power adjustment coefficient estimation value K * . As can be seen from Table 1, there are 8 kinds of fault scenes for the symmetric low voltage ride through of the doubly-fed wind turbine, namely scene 1-scene 8, and the ith data point of the low voltage ride through of the doubly-fed wind turbine is set to be in the kth (k E [1,8]) The corresponding actual measurement value of reactive current in each fault scene is i q,i,k The following optimization model is establishedIdentifying the voltage reference value estimated value u according to the least square estimation principle * And reactive power adjustment coefficient estimation value K * 。
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, referring to fig. 6, the step S202 may further specifically include the following:
step S601: and determining a reactive current estimated value according to a least square method, and calculating a first least square error between the reactive current simulated value and the measured value during the asymmetric low voltage ride through.
Step S602: and calculating a second least square error between the reactive current simulation value and the actual measurement value during the asymmetric voltage crossing according to the voltage reference value estimated value and the reactive power adjustment 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 during the low voltage ride through period corresponding to the minimum value as a reactive power control mode of the double-fed wind turbine generator set during the asymmetric low voltage ride through period.
Specifically, referring to fig. 16, the reactive power control mode and parameters during the asymmetric low voltage ride through of the doubly-fed wind turbine are identified, and there are two main modes of reactive power control during the asymmetric low voltage ride through of the doubly-fed wind turbine in the PSD-BPA currently, which are respectively:
1) Designating a reactive current value;
2) The same control mode as the positive sequence is adopted.
1) Reactive current estimated value during asymmetric low voltage ride through of doubly-fed wind turbine generator needs to be identifiedAccording to Table 1, 8 fault scenes are provided for the asymmetric low voltage ride through of the doubly-fed wind turbine generator, namely scene 9-scene 16, and the ith data point of the asymmetric low voltage ride through of the doubly-fed wind turbine generator is shown in the k (k E [9,16]) The corresponding actual measurement value of reactive current in each fault scene is i q,i,k,N The following optimization model is built->Identifying reactive current estimation value +.f. during asymmetric low voltage ride through according to least square estimation principle>And calculates the least squares estimation error +. >
2) Parameter identification is not needed, and the estimation value u of the symmetrical low-voltage ride-through voltage reference value of the doubly-fed wind turbine generator is calculated * And reactive power adjustment coefficient estimation value K * Calculating least square estimation error of double-fed wind turbine generator under asymmetric low voltage ride through
Comparison of epsilon 9 And epsilon 10 The mode corresponding to the minimum error is the reactive power control mode during the asymmetric low voltage ride through of the double-fed wind turbine.
In an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine, the step S202 may further specifically include the following:
and determining a corresponding reactive power control mode after the low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine after the low voltage ride through.
Specifically, the reactive power control modes and parameters of the doubly-fed wind turbine after the low voltage ride through period are identified, and at present, the reactive power control of the doubly-fed wind turbine after the low voltage ride through in PSD-BPA is respectively as follows:
1) Maintaining an initial state;
2) Maintaining a fixed value for a period of time;
3) Exponentially decreasing;
4) The diagonal line pattern decreases. And a control mode is selected according to the shape of the reactive power curve after the low-voltage ride through of the doubly-fed wind turbine, so that parameter identification is not required to be carried out.
In order to fully consider the difference 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 the content of an electromechanical transient data processing method of the doubly-fed wind turbine, and referring to fig. 7, the electromechanical transient data processing device of the doubly-fed wind turbine specifically comprises the following contents:
the basic parameter acquisition module 10 is used for acquiring basic parameters of the doubly-fed wind turbine generator under the low-voltage ride through working condition.
And the control data determining module 20 is used for 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.
The fault determining module 30 is configured to determine a low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, and low voltage ride through implementation data and low voltage ride through state determining data of the doubly-fed wind turbine.
From the above description, the device for processing the electromechanical transient data of the doubly-fed wind turbine provided by the embodiment of the application can identify key parameters of active power and reactive power working condition control modules during symmetric and asymmetric low-voltage ride-through periods and after voltage recovery of the doubly-fed wind turbine based on the least square method, and can fully consider the differences of control strategies of different wind turbine manufacturers and converter manufacturers to effectively and accurately identify key parameters of a low-voltage ride-through model of the doubly-fed wind turbine.
In an embodiment of the electromechanical transient data processing apparatus of the doubly-fed wind turbine, referring to fig. 8, the basic parameter obtaining module 10 includes:
the measured data obtaining unit 11 is configured to obtain measured data of a machine end voltage, an active power, a reactive power, an active current and a reactive current under a low-voltage ride through condition of the doubly-fed wind turbine.
The control data determination module 20 includes:
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 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 actual measurement data of the machine side voltage, the active power, the reactive current, and the least square method parameter identification rule.
In an embodiment of the electromechanical transient data processing apparatus of the doubly-fed wind turbine, referring to fig. 9, the least square method identification unit 21 includes:
the active current estimation value error calculation subunit 211 is configured to determine an active current estimation value according to a least square method, and calculate a first least square error between an active current simulation value and an actual measurement value in the low voltage ride through process.
The active current percentage estimation value error calculation subunit 212 is configured to determine an active current percentage estimation value according to a least square method, and calculate a second least square error between an active current simulation value and an actual measurement value in the low voltage ride through process.
The active power estimation value error calculation subunit 213 is configured to determine an active power estimation value according to a least square method, and calculate a third least square error between the active current simulation value and the actual measurement value in the low voltage ride through process.
The active power percentage estimation value error calculation subunit 214 is configured to determine an active power percentage estimation value according to a least square method, and calculate a fourth least square error between an active current simulation value and an actual measurement value in the low voltage ride through process.
And 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 an active power control mode corresponding to the smallest value as an active power control mode of the doubly-fed wind turbine generator during the low voltage ride through.
In an embodiment of the electromechanical transient data processing apparatus of the doubly-fed wind turbine, referring to fig. 10, the least square method identification unit 21 includes:
The active current estimation value error calculation subunit 216 is configured to determine an active current estimation value according to a least square method, and calculate a first least square error between the active current simulation value and the actual measurement value after low voltage ride through.
The 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 between the active current simulation value and the actual measurement value after low voltage ride through.
The active power estimation value 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 between the real current simulation value and the actual measurement value after the low voltage ride through.
The 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 active current simulation value and the actually measured value after low voltage ride through.
The active climbing initial value control manner 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 an active climbing initial value control manner corresponding to the smallest value as the active climbing initial value control manner of the doubly-fed wind turbine after low voltage ride through.
In an embodiment of the electromechanical transient data processing device of the doubly-fed wind turbine, referring to fig. 11, the least square method identification 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 is immediately recovered after the low voltage ride through if the active current of the doubly-fed wind turbine generator is immediately recovered after the low voltage ride through is the curve.
The second active climbing mode determining subunit 222 is configured to determine, if the active current of the doubly-fed wind turbine generator after the low voltage ride through is a slope recovery, a slope estimation value when the slope rises according to a least square method, and determine, according to the slope estimation value, a corresponding active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through.
In an embodiment of the electromechanical transient data processing device of the doubly-fed wind turbine, referring to fig. 12, the least square method identification unit 21 includes:
and the reactive power control mode determining subunit 223 is configured to determine, according to the least square method, an estimated voltage reference value and an estimated reactive power adjustment coefficient under the voltage control reactive current mode during the symmetrical low voltage ride through, and determine a reactive power control mode of the corresponding doubly-fed wind turbine generator during the symmetrical low voltage ride through.
In an embodiment of the electromechanical transient data processing apparatus of the doubly-fed wind turbine, referring to fig. 13, the least square method identification unit 21 includes:
the first error determination subunit 224 is configured to determine a reactive current estimation value according to a least square method, and calculate a first least square error between the reactive current simulation value and the measured value during the asymmetric low voltage ride through.
And a second error determination subunit 225 for calculating a second least square error between the reactive current simulation value and the actual measurement value during the asymmetric voltage crossing according to the voltage reference value estimation value and the reactive adjustment coefficient estimation value.
And the asymmetric low voltage ride through period reactive power control mode determining subunit 226 is configured to compare the first least square error and the second least square error, and determine a low voltage ride through period reactive power control mode corresponding to a minimum value as the asymmetric low voltage ride through period reactive power control mode of the doubly-fed wind turbine generator.
In an embodiment of the electromechanical transient data processing device of the doubly-fed wind turbine, referring to fig. 14, the least square method identification unit 21 includes:
The post-low-voltage-ride-through reactive power control mode determining subunit 227 is configured to determine a corresponding post-low-voltage-ride-through reactive power control mode according to a shape of a post-low-voltage-ride-through reactive power curve of the doubly-fed wind turbine generator.
In order to fully consider the difference of control strategies of different wind turbine manufacturers and converter manufacturers from a hardware level 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 electronic equipment for realizing all or part of contents in an electromechanical transient data processing method of the doubly-fed wind turbine, wherein the electronic equipment 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 communication with each other through the bus; the communication interface is used for realizing information transmission between the electromechanical transient data processing device of the doubly-fed wind turbine and related equipment such as a core service system, a user terminal, a related database and the like; the logic controller may be a desktop computer, a tablet computer, a mobile terminal, etc., and the embodiment is not limited thereto. In this embodiment, the logic controller may refer to an embodiment of the method for processing electromechanical transient data of a doubly-fed wind turbine and an embodiment of the device for processing electromechanical transient data of a doubly-fed wind turbine, and the contents thereof are incorporated herein and are not repeated here.
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), a vehicle-mounted device, a smart wearable device, etc. Wherein, intelligent wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..
In practical application, part of the electromechanical transient data processing method of the doubly-fed wind turbine can be executed on the electronic equipment side as described above, or all operations can be completed in the client equipment. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The present application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor.
The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.
Fig. 17 is a schematic block diagram of a system configuration of an electronic device 9600 of an embodiment of the present application. As shown in fig. 17, the electronic device 9600 may 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 structures to implement telecommunications functions or other functions.
In an embodiment, the functionality of the doubly-fed wind turbine generator system electromechanical transient data processing method may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:
step S101: and obtaining basic parameters of the doubly-fed wind turbine under the low-voltage ride-through working condition.
Step S102: and determining active control data and reactive control data during and after the low voltage ride through of the doubly-fed wind turbine according to the basic parameters and the least square method parameter identification rule.
Step S103: and determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine.
From the above description, it can be known that the electronic device provided by the embodiment of the application identifies the key parameters of the active power and reactive power working condition control module during the symmetrical and asymmetrical low-voltage ride-through period and after the voltage recovery of the doubly-fed wind turbine based on the least square method, so that the difference of control strategies of different wind turbine manufacturers and converter manufacturers can be fully considered, and the key parameters of the doubly-fed wind turbine low-voltage ride-through model can be effectively and accurately identified.
In another embodiment, the electromechanical transient data processing device of the doubly-fed wind turbine may be configured separately from the central processor 9100, for example, the electromechanical transient data processing device of the doubly-fed wind turbine may be configured as a chip connected to the central processor 9100, and the electromechanical transient data processing method function of the doubly-fed wind turbine is implemented by control of the central processor.
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 need not include all of the components shown in fig. 17; in addition, the electronic device 9600 may further include components not shown in fig. 17, and reference may be made to the related art.
As shown in fig. 17, the central processor 9100, sometimes also referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.
The memory 9140 may 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 about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and 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. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.
The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The 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 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.
The memory 9140 may also include a data store 9143, the data store 9143 for storing 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 of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).
The communication module 9110 is a transmitter/receiver 9110 that transmits and receives signals via an antenna 9111. A communication module (transmitter/receiver) 9110 is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.
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, etc., 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 to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.
The embodiments of the present application further provide a computer readable storage medium capable of implementing all the steps in the method for processing electromechanical transient data of a doubly-fed wind turbine generator in which the execution subject in the above embodiment is a server or a client, 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 in the method for processing electromechanical transient data of a doubly-fed wind turbine generator in which the execution subject in the above embodiment is a server or a client, for example, the processor implements the following steps when executing the computer program:
step S101: and obtaining basic parameters of the doubly-fed wind turbine under the low-voltage ride-through working condition.
Step S102: and determining active control data and reactive control data during and after the low voltage ride through of the doubly-fed wind turbine according to the basic parameters and the least square method parameter identification rule.
Step S103: and determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine.
As can be seen from the above description, the computer readable storage medium provided in the embodiments of the present application identifies key parameters of active power and reactive power condition control modules during symmetric and asymmetric low voltage ride through periods and after voltage recovery of a doubly-fed wind turbine based on a least square method, so that differences of control strategies of different wind turbine manufacturers and converter manufacturers can be fully considered, and key parameters of a low voltage ride through model of the doubly-fed wind turbine can be effectively and accurately identified.
It will be apparent to those skilled in the art that 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 principles and embodiments of the present invention have been described in detail with reference to specific examples, which are provided to facilitate understanding of the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims (16)

1. The electromechanical transient data processing method of the doubly-fed wind turbine generator is characterized by comprising the following steps of:
basic parameters of the doubly-fed wind turbine generator under the low-voltage ride-through working condition are obtained;
according to the basic parameters and the least square method parameter identification rule, determining active control data and reactive control data of the doubly-fed wind turbine generator during and after low voltage ride through;
determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data and the low voltage ride through realization mode data and the low voltage ride through state judgment data of the doubly-fed wind turbine;
the obtaining basic parameters of the doubly-fed wind turbine under the low-voltage ride through working condition comprises the following steps:
obtaining actual measurement data of machine end voltage, active power, reactive power, active current and reactive current of the doubly-fed wind turbine 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 set 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 set during low voltage ride through and a reactive power control mode after low voltage ride through according to the actual measurement data of the voltage, the active power, the active current and the reactive current of the machine end and the least square parameter identification rule.
2. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 1, wherein determining the active power control mode of the doubly-fed wind turbine 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:
determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulation value and an actual measurement value in a low voltage ride through process;
determining an active current percentage estimated 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 simulation value and an actual measurement value in the low voltage ride through process;
determining an estimated value of the percentage of active power 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 value as an active power control mode of the doubly-fed wind turbine generator set during low voltage ride through.
3. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 1, wherein determining the active climbing initial value control mode of the doubly-fed wind turbine 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:
determining an active current estimated value according to a least square method, and calculating a first least square error of an active current simulation value and an actual measurement value after low voltage ride through;
determining an active current percentage estimated 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 simulation value and an actual measurement value after low voltage ride through;
determining an active power percentage estimated 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 an active climbing initial value control mode corresponding to the minimum value as an active climbing initial value control mode of the doubly-fed wind turbine after low voltage ride through.
4. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 1, wherein determining the active climbing mode of the doubly-fed wind turbine after 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:
if the active current of the doubly-fed wind turbine generator after the low voltage ride through is the curve and is recovered immediately, judging that the active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through is recovered immediately;
if the active current of the doubly-fed wind turbine generator after the low voltage ride through is slope recovery, determining a slope estimation value when the slope rises according to a least square method, and determining an active climbing mode of the corresponding doubly-fed wind turbine generator after the low voltage ride through according to the slope estimation value.
5. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 1, wherein determining the reactive power control mode of the doubly-fed wind turbine during the low voltage ride through according to the measured data of the reactive power and the reactive current and the least square parameter identification rule comprises:
and determining a voltage reference value estimated value and a reactive power adjustment coefficient estimated 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 during the symmetrical low voltage ride through.
6. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 5, wherein determining the reactive power control mode of the doubly-fed wind turbine during the low voltage ride through according to the measured data of the reactive power and the reactive current and the least square parameter identification rule comprises:
determining a reactive current estimated value according to a least square method, and calculating a first least square error between a reactive current simulation value and an actual measurement value during asymmetric low voltage ride through;
calculating a second least square error between the reactive current simulation value and the actual measurement value during the asymmetric voltage crossing according to the voltage reference value estimation value and the reactive adjustment coefficient estimation value;
and comparing the first least square error with the second least square error, and determining a reactive power control mode during the low voltage ride through period corresponding to the minimum value as a reactive power control mode of the double-fed wind turbine generator set during the asymmetric low voltage ride through period.
7. The method for processing the electromechanical transient data of the doubly-fed wind turbine according to claim 1, wherein determining the reactive power control mode of the doubly-fed wind turbine 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:
And determining a corresponding reactive power control mode after the low voltage ride through according to the reactive power curve shape of the doubly-fed wind turbine after the low voltage ride through.
8. The utility model provides a doubly-fed wind turbine generator system electromechanical transient data processing device which characterized in that includes:
the basic parameter acquisition module is used for acquiring basic parameters of the doubly-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 during and after the low voltage ride through of the doubly-fed wind turbine according to the basic parameters and the least square method parameter identification rule;
the fault judging module is used for determining the low voltage ride through characteristic of the doubly-fed wind turbine according to the active control data, the reactive control data, the low voltage ride through realization mode data and the low voltage ride through state judging data of the doubly-fed wind turbine;
the basic parameter acquisition module comprises:
the real-time data acquisition unit is used for acquiring real-time data of machine end 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 determining module includes:
The least square method identification unit is used for determining an active power control mode, 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 and a reactive power control mode after low voltage ride-through of the doubly-fed wind turbine generator according to the actual measurement data of the machine terminal voltage, the active power, the reactive power, the active current and the reactive current and the least square method parameter identification rule.
9. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
the active current estimation value error calculation subunit is used for determining an active current estimation value according to a least square method and calculating a first least square error of an active current simulation value and an actual measurement value in the low voltage ride-through process;
the active current percentage estimated value error calculation subunit is used for determining an active current percentage estimated 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 estimation value error calculation subunit is used for determining an active power estimation value according to a least square method and calculating a third least square error of an active current simulation value and an actual measurement value in the low voltage ride-through process;
the active power percentage estimated value error calculation subunit is used for determining an active power percentage estimated 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 value as the active power control mode of the doubly-fed wind turbine generator during the low voltage ride through.
10. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
the active current estimation value error calculation subunit after the pass is used for determining an active current estimation value according to a least square method and calculating a first least square error of an active current simulation value and an actual measurement value after the low voltage pass;
The error calculation subunit of the current percentage estimated value after passing through is used for determining an active current percentage estimated 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 passing through;
the active power estimated value error calculation subunit after passing through 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 simulation value and an actual measurement value after low voltage passing through;
the error calculation subunit of the active power percentage estimated value after passing through is used for determining an active power percentage estimated 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 passing 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 an active climbing initial value control mode corresponding to the minimum value as an active climbing initial value control mode of the doubly-fed wind turbine after low voltage ride through.
11. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
The first active climbing mode determining subunit is used for determining that the active climbing mode of the doubly-fed wind turbine generator is recovered immediately after the low-voltage ride through if the active current of the doubly-fed wind turbine generator is recovered immediately after the 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 doubly-fed wind turbine generator after the low voltage ride through is recovered as the slope, and determining the corresponding active climbing mode of the doubly-fed wind turbine generator after the low voltage ride through according to the slope estimation value.
12. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
and the reactive power control mode determining subunit is used for determining a voltage reference value estimated value and a reactive power adjustment coefficient estimated value in the voltage control reactive current mode in the symmetrical low voltage ride through period according to a least square method and determining the reactive power control mode of the corresponding doubly-fed wind turbine generator in the symmetrical low voltage ride through period.
13. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
The first error determination subunit is used for determining a reactive current estimated value according to a least square method and calculating a first least square error between a reactive current simulation value and an actual measurement value during the asymmetric low voltage ride through;
a second error determination subunit during asymmetric low voltage ride through, configured to calculate a second least square error between a reactive current simulation value and an actual measurement value during the asymmetric voltage ride through according to the voltage reference value estimation value and the reactive adjustment coefficient estimation value;
and the asymmetric low-voltage ride through period reactive power control mode determining subunit is used for comparing the first least square error and the second least square error, and determining the low-voltage ride through period reactive power control mode corresponding to the minimum value as the reactive power control mode of the double-fed wind turbine generator set in the asymmetric low-voltage ride through period.
14. The device for processing electromechanical transient data of a doubly-fed wind turbine according to claim 8, wherein the least squares identification unit comprises:
and the low-voltage-ride-through reactive power control mode determining subunit is used for determining a corresponding low-voltage-ride-through reactive power control mode according to the shape of the reactive power curve of the doubly-fed wind turbine generator system after the low voltage ride-through.
15. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for processing electromechanical transient data of a double-fed wind turbine according to any of claims 1 to 7 when the program is executed by the processor.
16. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, 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 any one of claims 1 to 7.
CN202110888710.2A 2021-08-02 2021-08-02 Method and device for processing electromechanical transient data of doubly-fed wind turbine Active CN113806907B (en)

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