CN116526465A - Method and system for identifying high-voltage ride through parameters of transient model of doubly-fed wind turbine generator - Google Patents
Method and system for identifying high-voltage ride through parameters of transient model of doubly-fed wind turbine generator Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
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- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
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Abstract
A method and a system for identifying high-voltage ride through parameters of a transient model of a doubly-fed wind turbine generator belong to the field of modeling of new energy power generation equipment of a power system. The method aims at solving the problem that at present, no method can be used for fast and fine transient modeling aiming at the doubly-fed wind turbine in actual engineering. The invention adopts a doubly-fed wind turbine generator model widely used in engineering, and combines the measured data of high voltage ride through of the wind turbine generator and curve fitting technology to realize the identification and simulation verification of the transient model high voltage ride through parameters of the doubly-fed wind turbine generator. The method can realize the parameter identification of the high-voltage ride through of the transient model of the doubly-fed wind turbine generator, improve the integral simulation precision of the power grid and provide support for the operation analysis and planning of the wind turbine generator and the power grid. The method is used for realizing transient modeling of the doubly-fed wind turbine from the parameter identification level.
Description
Technical Field
The invention belongs to the field of modeling of new energy power generation equipment of a power system, and particularly relates to a method and a system for identifying high-voltage ride through parameters of a transient model of a doubly-fed wind turbine.
Background
With the increasing prominence of global energy and environmental problems, wind power generation occupies a higher proportion in a power grid due to the advantages of cleanliness, flexibility, sustainability and the like. The integration of power grid dispatching is deep, so that the real-time simulation and the online safe and stable analysis have higher requirements on the precision of a system element model and parameters, whether the wind turbine generator has a Fault voltage-Through (FRT) function, whether the wind turbine generator has reactive power supporting capability during Fault, whether the wind turbine generator has a power smooth recovery characteristic after Fault clearing, and the wind turbine generator has larger difference on transient response curves of the wind turbine generator. The current general transient model parameters of the wind turbine generator used for large power grid simulation in engineering cannot accurately reflect the differences between fans of different factories and different models, cannot embody the active regulation capability of a new energy station, has poor simulation precision, and causes the power grid operation mode to be too conservative.
For transient modeling of wind turbines, researchers have a variety of solutions, such as:
1. li Zhen, "research on online identification method of new energy power generation system parameters based on wide area measurement system", 2021, university of Zhejiang, establishes transient models of doubly-fed wind power generation units and photovoltaic power generation systems, analyzes equivalent model grid-connected structures thereof, and proposes a doubly-fed wind power generation unit parameter identification method based on WAMS data.
2. Calumniate Peng et al report of Chinese Motor engineering on "electromechanical transient modeling of doubly-fed wind Generator": 2015, 35 (05): 1106-1114, the article proposes a rotor side converter and crowbar transient modeling method in a PSASP simulation environment, and can accurately simulate the dynamic process of switching the rotor converter and the crowbar in the high-voltage traversing process of the doubly-fed wind driven generator.
3. Zhong Linheng the paper gives a parameter identification strategy for each component modeling the operation characteristics of the doubly-fed wind power generation system on the basis of widely researching the model structure, the control strategy and the parameter identification of the doubly-fed wind power generation system and carrying out detailed verification on the applicability of the parameter identification result on the basis of the "parameter identification of the doubly-fed wind power generation system", 2016, university of the combined fertilizer industry.
In summary, most of the existing methods establish partial models of the wind turbine generator by MATLAB or PSCAD, and then perform parameter identification on simulation models of the wind turbine generator, so that the existing methods cannot be suitable for PSASP transient simulation software adopted in domestic actual engineering, cannot accurately reflect high and low voltage ride through response characteristics of the wind turbine generator, and the established models lack generality and have complex parameter identification realization processes.
Disclosure of Invention
The method aims to solve the problem that at present, no method can be used for fast and fine transient modeling aiming at the doubly-fed wind turbine in actual engineering.
The method for identifying the high-voltage ride through parameters of the transient model of the doubly-fed wind turbine generator comprises the following steps:
s1, calculating the maximum value of power and current of a converter based on measured data of a wind turbine generator, filling the maximum value of power and current of the converter into a wind turbine generator model, and setting current priority of the wind turbine generator model;
s2, based on a high voltage ride-through test model corresponding to the wind turbine generator model, connecting the identified high voltage fault to an impedance value, adjusting line voltage during the high voltage ride-through period to be consistent with actual measurement data under each working condition, and calculating to obtain positive sequence voltage during the fault period;
the high voltage ride through test model is as follows:
a current limiting impedance and a bypass switch connected in parallel with the current limiting impedance are connected between the high-voltage side of the wind turbine generator set step-up transformer and an external power grid, and a step-up branch is connected between the current limiting impedance and the wind turbine generator set step-up transformer; the data measurement point is positioned at the high-voltage side of the step-up transformer of the wind turbine generator; the wind turbine generator is connected into a power grid through a step-up transformer and two sections of current collecting circuits in sequence, fault points are positioned between the two sections of current collecting circuits, and the function of a step-up branch is simulated through a PSASP transient fault setting function to obtain a high-voltage ride-through test model;
S3, judging the running state of the wind turbine generator under each voltage rise working condition according to the actual measurement curve of reactive power under each working condition, and estimating the high voltage crossing state judging parameters of the wind turbine generator by combining the positive sequence voltage during the fault period, wherein the high voltage crossing state judging parameters comprise a voltage value entering the high crossing state and a voltage value exiting the high crossing state;
s4, performing operation state control in high voltage ride through by utilizing measured data of the wind turbine generator in the operation state in the high voltage ride through, combining the high voltage ride through state judgment parameters, fitting to obtain control parameters under different control mode combinations, and inputting the control parameters into a wind turbine generator model;
s5, based on the actual measurement data of the wind turbine generator model and the running state of the wind turbine generator in the high voltage ride through of the control parameters input in S4, taking a 'modification parameter-simulation calculation-calculation voltage rising and peak error at voltage recovery moment' as an iteration unit, and continuously and iteratively optimizing the generator parameters and the converter parameters by utilizing an optimizing algorithm until the peak error of active power, reactive power and reactive current obtained by simulation test is smaller than an error threshold value, obtaining optimal generator parameters and converter parameters and inputting the optimal generator parameters and the converter parameters into the wind turbine generator model;
S6, based on the optimal generator parameters and the optimal converter parameters of the wind turbine generator model input S5, performing high-voltage ride through recovery running state control by using measured data of the wind turbine generator in a high-voltage recovery running state, and fitting to obtain control parameters under different control mode combinations to be input into the wind turbine generator model;
s7, using the wind turbine generator model obtained in the steps and the corresponding high-voltage ride through test model, obtaining simulation test curve data under various working conditions through simulation, calculating errors of the obtained doubly-fed wind turbine generator transient model and measured data before, during and after the faults, and selecting a control mode combination with the largest number of working conditions meeting the upper limit requirement of the errors and the smallest average error and parameters thereof as parameter identification results; the parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter and the parameters of the operation state control process in the high voltage ride through are included in the parameters and the parameters of the operation state control sub-process in the high voltage ride through are included in the parameters.
Further, in the process of setting the current priority of the wind turbine generator model in S1, the current priority is set for the normal running state and the high voltage crossing state respectively, and meanwhile, reactive priority control is adopted during the high voltage crossing period, active priority control is adopted during the normal running state, and the current calculation modes under the reactive priority and the active priority are as follows:
Wherein I is pmax 、I qmax 、I max Maximum value of active current, reactive current and current respectively, I pmin 、I qmin 、I min Respectively the minimum values of active current, reactive current and current, I p_cmd 、I q_cmd Respectively an active current command value and a reactive current command value。
Further, in the running state control process in high voltage ride-through, an active current control mode, a reactive current control mode, a ride-through recovery starting point active current control mode and a ride-through recovery starting point reactive current control mode are adopted for control aiming at symmetrical faults; aiming at the asymmetric faults, a ride-through recovery starting point active current control mode, a ride-through recovery starting point reactive current control mode and a current control mode in an asymmetric high-voltage ride-through running state are adopted for control.
Further, the control mode in the running state control process in the high voltage ride through is specifically as follows:
(1) The active current control mode comprises the following specific control:
1A, no additional control: maintaining a control strategy in normal operation;
1B, designated power control:
P HVRT ＝K P-HVRT *P 0 +P set_HV (3)
wherein P is 0 : active power in normal operating conditions; p (P) HVRT : active power in the running state in high voltage ride through; k (K) P_HVRT : active power calculation coefficient 1; p (P) set_HV : active power calculation coefficient 2;
1C, specified current control:
Ip HVRT ＝K 1-Ip-HV *V t +K 2-Ip-HV *Ip 0 +Ip set_HV (4)
in the formula, ip 0 : active current in a normal operating state; ip (internet protocol) HVRT : active current in the running state in high voltage ride through; k (K) 1_Ip_HV : active current calculation coefficient 1; k (K) 2_Ip_HV : active current calculation coefficient 2; ip (internet protocol) set_HV : an active current set value 1; v (V) t : positive sequence voltage value of fan outlet;
1D, current control before push-through: maintaining active current at a time before the high voltage ride through is entered;
(2) The reactive current control mode comprises the following specific control steps:
2A, no additional control: maintaining a control strategy in normal operation;
2B, designated power control:
Q HVRT ＝K Q_HVRT *Q 0 +Q set_HV (5)
in which Q 0 : reactive power in normal operating conditions; q (Q) HVRT : reactive power in the running state in high voltage ride through;
K Q_HVRT : calculating a coefficient 1 of reactive power; q (Q) set_HV : calculating a coefficient 2 of reactive power;
2C, specified current control:
Iq HVRT ＝K 1_Iq_HV *(VH in -V t )+K 2_Iq_HV *Iq 0 +Iq set-HV (6)
in the formula Iq 0 : reactive current in a normal operating state; iq HVRT : reactive current in the running state in high voltage ride through; k (K) 1_Iq_HV : calculating a coefficient 1 of reactive current; k (K) 2_Iq_HV : calculating a coefficient 2 of reactive current; iq set_HV : reactive current set point 1; v (V) t : positive sequence voltage value of fan outlet; VH (VH) in : entering a high voltage crossing threshold;
(3) The active current control mode for traversing the recovery starting point comprises the following specific control:
3A, no additional control: maintaining a control strategy in normal operation;
3B, controlling according to the initial active current percentage:
in the formula, ip HVRSP : active current crossing the recovery start point;an initial active current percentage coefficient;an active current set value 2;
3C, controlling according to active current during fault: active current maintained in an operating state in high voltage ride through;
3D, active power control during failure: active power maintained in the running state in high voltage ride through, and active current converted according to the ride-through recovery starting point positive sequence voltage;
(4) The reactive current control mode of the crossing recovery starting point comprises the following specific control:
4A, no additional control: maintaining a control strategy in normal operation;
4B, controlling according to the initial reactive current: controlling reactive current when the wind turbine generator runs normally;
4C, controlling according to the reactive current percentage during the fault:
in the formula Iq HVRSP : passing through the recovery starting point reactive current;percentage coefficient of reactive current during fault;reactive current set point 2;
4D, controlling according to the reactive power percentage during the fault: the formula and the coefficient are the same as those controlled according to the percentage of reactive current in the fault period, and the reactive current is replaced by reactive power;
(5) The current control mode under the asymmetric high voltage ride through operation state comprises the following specific control:
5A, controlling according to a symmetrical fault handling mode: the symmetrical faults and the asymmetrical faults are not distinguished, and active and reactive currents are directly controlled according to an active current control mode and a reactive current control mode;
5B, positive sequence voltage control:
in the formula, ip HVRT_UBL : active current during asymmetric high voltage ride through; iq HVRT_UBL : reactive current during asymmetric high voltage ride through; k (K) 1_Ip_HV_UBL : calculating a coefficient 1 of the active current of the asymmetric fault; k (K) 2_Ip_HV_UBL : calculating a coefficient 2 of the active current of the asymmetric fault; ip (internet protocol) set_HV_UBL : an asymmetric fault active current setpoint; k (K) 1_Iq_HV_UBL : calculating a coefficient 1 of asymmetric fault reactive current; k (K) 2_Iq_HV_UBL : calculating a coefficient 2 of the asymmetrical fault reactive current; iq set_HV_UBL : an asymmetric fault reactive current setpoint;
5C, negative sequence voltage control: the formula and the coefficient are the same as those based on positive sequence voltage control, and positive sequence voltage is replaced by negative sequence voltage;
5D, correction control based on symmetrical fault current and negative sequence voltage:
wherein K is 3_Ip_HV_UBL : an asymmetric fault active current calculation coefficient 3; k (K) 3_Iq_HV_UBL : calculating a coefficient 3 of asymmetric fault reactive current; v (V) 2t : negative sequence voltage value at fan outlet.
Further, in the control process of the high voltage ride through recovery running state, an active power control mode and a reactive power control mode are adopted for control, and the control modes are as follows:
(1) Active power recovery control:
1a, no additional control: maintaining a control strategy in normal operation;
1b, controlling according to the slope:
P HVRECO ＝min(P HVRSP +K P_RECO ·t,P 0 ) (11)
wherein P is HVRECO : active power during high voltage ride through recovery; p (P) HVRSP : restoring the active power of the starting point; k (K) P_RECO : active power recovery slope; t: high voltage ride through recovery time;
1c, controlling according to an inertia curve:
wherein T is P_RECO : active power recovery inertia constant;
(2) Reactive power recovery control:
2a, no additional control: maintaining a control strategy in normal operation;
2d, controlling according to an inertia curve:
in which Q HVRECO : reactive power during high voltage ride through recovery; q (Q) HVRSP : recovering reactive power of the starting point; t (T) Q_RECO : reactive power recovers the inertia constant.
Further, the specific processing procedure in step S4 is as follows:
and (3) enumerating all possible control mode combinations of the running state control process in the high-voltage ride through, respectively fitting by using a curve fitting technology aiming at all the control combinations to obtain control parameters of each control combination, filling the obtained control parameters into a wind turbine model, and further obtaining wind turbine line voltage, reactive current, active power and reactive power response curves under the running state in the high-voltage ride through under each working condition through a simulation test.
Further, the specific processing procedure in step S6 is as follows:
and (3) enumerating all possible control mode combinations of the control process of the high-voltage ride through recovery running state, respectively fitting by using a curve fitting technology aiming at all the control combinations to obtain control parameters of each control combination, filling the obtained control parameters into a wind turbine model, and further obtaining reactive current, active power and reactive power response curves of the wind turbine under the high-voltage ride through recovery running state under each working condition through simulation test.
Further, in the process of continuously and iteratively optimizing the generator parameters and the converter parameters by utilizing the optimizing algorithm, if the peak errors of the active power, the reactive power and the reactive current cannot meet the error requirement that the peak errors of the active power, the reactive power and the reactive current are smaller than the error threshold, the parameters with the minimum errors are adopted, and the optimal generator parameters and the optimal converter parameters are obtained.
Further, the boost branch is specifically formed by connecting a closed short circuit switch, a boost branch resistor and a boost capacitor in series.
A high voltage ride through parameter identification system of a transient model of a doubly-fed wind turbine generator, the system comprises:
the converter setting module: according to the maximum value of the power and the current of the converter calculated based on the measured data of the wind turbine, filling the maximum value into a wind turbine model;
A current priority setting module: the method comprises the steps of setting current priority of a wind turbine generator model;
positive sequence voltage acquisition module during failure: based on a high-voltage ride-through test model corresponding to the wind turbine generator model, setting an access impedance value for identifying a high-voltage fault, adjusting line voltage during the high-voltage ride-through period to be consistent with measured data under each working condition, and calculating to obtain positive sequence voltage during the fault period;
the high voltage crossing state judgment parameter estimation module: judging the running state of the wind turbine generator under each voltage rise working condition according to the actual measurement curve of reactive power under each working condition, and estimating the high voltage crossing state judging parameters of the wind turbine generator by combining the positive sequence voltage during the fault period, wherein the high voltage crossing state judging parameters comprise a voltage value entering a high crossing state and a voltage value exiting the high crossing state;
and an operation state control parameter fitting module in high voltage ride through: performing operation state control in high voltage ride through by utilizing measured data of the wind turbine generator in the operation state in the high voltage ride through, combining the high voltage ride through state judgment parameters, fitting to obtain control parameters under different control mode combinations, and inputting the control parameters into a wind turbine generator model;
generator parameters and converter parameter fitting module: based on the actual measurement data of the wind turbine generator model input with the control parameters and the running state of the wind turbine generator in the high voltage ride through, taking the modified parameter-simulation calculation-calculation voltage rising and voltage recovery peak error as an iteration unit, and continuously and iteratively optimizing the generator parameter and the converter parameter by utilizing an optimizing algorithm until the peak error of the active power, the reactive power and the reactive current obtained by the simulation test is smaller than an error threshold value, obtaining the optimal generator parameter and the optimal converter parameter and inputting the optimal generator parameter and the optimal converter parameter into the wind turbine generator model;
And the high voltage ride through recovery running state control parameter fitting module: based on the wind turbine generator model input with the optimal generator parameters and the optimal converter parameters, performing high-voltage ride through recovery running state control by utilizing measured data of the wind turbine generator in a high-voltage recovery running state, and fitting to obtain control parameters under different control mode combinations, wherein the control parameters are input into the wind turbine generator model;
and an optimal control parameter selection module: the method comprises the steps of obtaining simulation test curve data under various working conditions through simulation by using a wind turbine generator model and a corresponding high-voltage ride-through test model, calculating errors of the obtained doubly-fed wind turbine generator transient model and measured data before, during and after a fault, and selecting a control mode combination with the maximum number of working conditions meeting the upper limit of the errors and the minimum average error and parameters thereof as parameter identification results; the parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter and the parameters of the operation state control process in the high voltage ride through are included in the parameters and the parameters of the operation state control sub-process in the high voltage ride through are included in the parameters.
Compared with the prior art, the invention has the beneficial effects that:
aiming at the doubly-fed wind turbine, the invention analyzes a transient model provided by a comprehensive power system analysis program commonly used in actual engineering, and provides a method for identifying the transient model high-voltage ride-through parameters of the doubly-fed wind turbine by utilizing basic parameters and high-voltage ride-through test reports of the actual wind turbine, so that a refined and practical transient model of the wind turbine can be effectively established, the simulation accuracy of a power grid is improved, the problem that the running mode is too conservative due to inaccurate wind power models is avoided, and the safe running level and wind power acceptance of the power grid are improved.
Drawings
FIG. 1 is a transient model structure diagram of a 2-type doubly-fed wind turbine generator;
FIG. 2 is a voltage ride through operating state switching and current limiting control diagram according to the present invention;
FIG. 3 is a flowchart of the high voltage ride through parameter identification according to the present invention;
FIG. 4 is a high voltage fault triggering circuit diagram of the present invention;
fig. 5 is a diagram of a high voltage ride through test model according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
The invention starts from a data collection source of fine modeling of a transient model of a doubly-fed wind turbine, analyzes the transient model of the wind turbine provided by a basic structure and an electric power system analysis comprehensive program of the doubly-fed wind turbine, and specifically comprises a current limiting model, a running state control model of the wind turbine, a high voltage ride through control model, a fault recovery control model and the like; on the basis, an identification method of high-voltage ride through parameters of the doubly-fed wind turbine generator is provided, so that a refined and practical transient model of the wind turbine generator is established, simulation accuracy of a power grid is improved, the problem that the running mode of the power grid is too conservative due to inaccurate wind power models is avoided, and safe running level and wind power acceptance of the power grid are improved. The following detailed description is made in connection with specific embodiments.
The first embodiment is as follows:
the embodiment is a method for identifying high-voltage ride through parameters of a transient model of a doubly-fed wind turbine, and specifically comprises the following steps:
based on a 2-type doubly-fed wind turbine generator model provided by an electric power system analysis comprehensive program, acquiring actual wind turbine generator basic parameters (rated wind speed, initial wind speed, air density, cut-in wind speed, cut-out wind speed, blade radius, rated rotation speed and rotational inertia) to be subjected to parameter identification through specifications of wind turbines of corresponding models, and acquiring high-voltage crossing related data of the wind turbines through a high-voltage crossing capability evaluation certificate and an actual measurement curve and parameters in a high-voltage crossing detection report.
The stator winding of the Doubly-fed wind turbine (Doubly-fed Induction Generator, DFIG) is directly connected with a system, the rotor winding is connected with a power grid through a bidirectional converter, and the amplitude, the phase and the frequency of the rotor can be controlled through a converter control system, so that the active power and the reactive power of the fan are controlled. Based on the basic structure and principle of the doubly-fed wind turbine, a series of doubly-fed wind turbine transient models are established by an electric power system analysis comprehensive program, wherein the 2-type doubly-fed wind turbine transient model provided by the program comprises a conventional wind energy-power conversion model, a pitch angle control model, a transmission shaft model, a torque control model, a generator/converter model and other sub-models, and a voltage ride-through general control model is added on the basis of the conventional wind energy-power conversion model, the pitch angle control model, the transmission shaft model, the torque control model, the generator/converter model and the like, so that high and low voltage ride-through of the wind turbine is realized. The transient model of the double-fed wind turbine generator and the transient model of the type 2 double-fed wind turbine generator are all in the prior art. The invention mainly focuses on the high voltage ride through process of the doubly-fed wind turbine generator, and the high voltage ride through response curve of the simulation model approximates to the test curve of the actual wind turbine generator by identifying the relevant parameters of the high voltage ride through control. The high voltage ride through control related sub-model contained in the transient model of the 2-type doubly-fed wind turbine generator mainly comprises: the high voltage ride through control section in the generator/converter model and the voltage ride through universal control model. The other sub-model parameters do not influence the high voltage ride through process of the wind turbine generator, and parameters provided by the wind turbine generator instruction book or default parameters can be directly adopted to ensure the normal operation of the wind turbine generator model.
The generator/converter model comprises:
(a) generator parameters (b) high voltage ride through state determination parameters (c) converter parameters (d) active power control parameters (e) reactive power control parameters.
The voltage ride through general control model includes:
(a) A current limit submodule: and setting a current priority mode in a normal running state and a fault crossing state.
(b) An operation state switching sub-module: the method is used for switching the running state of the fan; the fan comprises four running states, namely a normal running state, a high voltage ride through recovery running state and a high voltage ride through failure running state. The active and reactive current control output of the converter in the normal running state is I pcmd ′、I qcmd ' the control output of the converter in the high voltage ride through operation state is I pcmd_hvrt 、I qcmd_hvrt The converter finally outputs a current instruction I pcmd 、I qcmd Is determined by the operating state, the high voltage ride through control strategy and the current limiting model.
(c) The operation state control sub-module (control strategy) in the high voltage ride through comprises:
(1) Active current control mode: (1) the current before passing is pressed by the specified power (3) and the specified current (4) without additional control (2);
(2) Reactive current control mode: (1) no additional control (2) to specify power (3) to specify current;
(3) Active current control mode of crossing the recovery starting point: (1) the method comprises the following steps that no additional control (2) is used for controlling active power according to the initial active current percentage (3) and the active current during faults (4);
(4) And (3) a reactive current control mode of traversing a recovery starting point: (1) the method comprises the following steps that (2) no additional control is performed, wherein the initial reactive current (3) is the reactive current percentage during the fault (4) is the reactive power percentage during the fault (the coefficient is the same as (3));
(5) Current control mode during asymmetric high voltage ride through: (1) the method is based on the symmetrical fault processing mode (2) and the positive sequence voltage control (3) and the negative sequence voltage control (coefficient is the same as (3)) (4) and the symmetrical fault current and the negative sequence voltage correction.
(d) The high voltage ride through recovery operating state control submodule (control strategy) includes:
(1) Active power control mode: (1) without additional control (2) according to slope (3) according to inertia curve
(2) Reactive power control mode: (1) without additional control (2) according to the inertia curve
The identification method of the high-voltage ride through parameters of the wind turbine generator comprises the following steps:
(a) Calculating the maximum value of the power and the current of the converter based on the measured data;
(b) Establishing a high voltage ride-through test model, identifying a high voltage fault access impedance value, adjusting line voltage in a high voltage ride-through period to be consistent with measured data, and calculating positive sequence voltage in a fault period;
(c) Judging the running state of the wind turbine under each voltage rise working condition according to the actual measurement curve and the fan specification, and identifying the high voltage crossing state judgment parameters of the wind turbine;
(d) The measured data of the wind turbine generator in the high voltage crossing state is combined with the control method and the expression thereof in the high voltage crossing state to obtain the control parameters of the high voltage crossing state under the combination of different active and reactive control methods by fitting;
(e) The method comprises the steps of optimizing parameters of stator inductance Ls, rotor inductance Lr, winding mutual inductance Lm and time constant Td0p of a generator and parameters of a converter by using measured data of a wind turbine generator in a high-voltage crossing state;
(f) The measured data of the wind turbine generator in the high-voltage recovery state is combined with the control method and the expression thereof in the high-voltage recovery state to obtain the control parameters of the high-voltage recovery state under the combination of different active and reactive control methods by fitting;
(g) And calculating the error between the transient model of the doubly-fed wind turbine generator and the measured data under the high voltage crossing and recovering state based on the parameter identification method through a simulation test, and selecting a control method with the minimum error and parameters thereof as a parameter identification result.
More specifically, the process is carried out,
the parameter identification method provided by the invention is based on the transient model (corresponding to the generator model 12) of the 2-type doubly-fed wind turbine generator;
basic parameters (such as blade diameter, rated wind speed, generator impedance parameters and the like) of an actual wind turbine generator to be subjected to parameter identification are obtained through specifications of wind turbines of corresponding models, and high-voltage ride through related data of the wind turbines are obtained through actual measurement curves and parameters in a high-voltage ride through detection report and a high-voltage ride through capability assessment certificate. The measured curve in the high voltage ride through detection report should at least include line voltage, reactive current, active power and reactive power. The test working conditions at least comprise voltages of 120%, 125% and 130%, wind speeds are high wind and low wind, and fault types are three-phase faults and two-phase faults, which are at least 12 in total.
After parameter identification is carried out based on the high-voltage ride-through response data of the actual wind turbine, the obtained parameters are required to be input into a transient model of the 2-type doubly-fed wind turbine, high-voltage ride-through simulation test is carried out, and the accuracy of the parameter identification result and the simulation model is verified. The specific wind turbine generator model test and simulation are based on the following:
GB/T19963.1-2021 wind farm access power system technology specifies part 1-land wind power
Verification procedure for electrical simulation model of NB/T31053-2021 wind turbine generator
Modeling and verification procedure for NB/T31075-2016 wind power plant electrical simulation model
The basic structure and principle of the double-fed wind turbine generator are as follows:
the double-fed induction wind turbine (Doubly-fed Induction Generator, DFIG) stator winding is directly connected with the system, the rotor winding is connected with a power grid through a bidirectional converter, and the amplitude, phase and frequency of the rotor can be controlled through a converter control system, so that the active power and reactive power of the fan are controlled;
based on the basic structure and principle of the double-fed wind turbine, a series of double-fed wind turbine transient models are established by the power system analysis comprehensive program. As shown in FIG. 1, the transient model of the 2-type doubly-fed wind turbine generator provided by the program adds a flexible voltage ride-through universal control model on the basis of the sub-models including a conventional wind energy-power conversion model, a pitch angle control model, a transmission shaft model, a torque control model, a generator/converter model and the like, so as to realize high and low voltage ride-through of the wind turbine generator. The invention mainly focuses on the high voltage ride through process of the doubly-fed wind turbine generator, and the high voltage ride through response curve of the simulation model approximates to the test curve of the actual wind turbine generator by identifying the relevant parameters of the high voltage ride through control. The high voltage ride through control related submodel contained in the transient model of the 2-type doubly-fed wind turbine mainly comprises: the high voltage ride through control section in the generator/converter model and the voltage ride through universal control model. The other sub-model parameters do not influence the high voltage ride through process of the wind turbine generator, and parameters provided by the wind turbine generator instruction book or default parameters can be directly adopted to ensure the normal operation of the wind turbine generator model.
The generator/converter model contains the following parameters:
(a) Parameters of the generator: rated power, rated rotational speed, moment of inertia, stator resistance, stator inductance, rotor resistance, rotor inductance, winding mutual inductance, generator time constant.
(b) High voltage ride-through state determination parameters: enter the high pass threshold and exit the high pass threshold.
(c) Converter parameters: active power, reactive power, maximum and minimum values of apparent power, and maximum and minimum values of active current, reactive current and current.
(d) Active power control parameters: (1) open loop control parameters (2 pi control parameters).
(e) Reactive power control parameters: (1) open loop control parameter (2) pi control parameter (3) reactive/voltage coordination control parameter (4) fixed reactive current control parameter.
The high voltage ride through control part in the voltage ride through general control model comprises the following modules:
(a) A current limit submodule:
by setting the current priority modes in the normal running state and the fault crossing state, the output of active or reactive current is preferentially ensured under the condition that the wind turbine generator is limited by the upper limit value of the current of the converter. The reactive priority and the active priority are calculated as follows:
wherein I is pmax 、I qmax 、I max Maximum value of active current, reactive current and current respectively, I pmin 、I qmin 、I min Respectively the minimum values of active current, reactive current and current, I p_cmd 、I q_cmd The active current command value and the reactive current command value are respectively; in order to fully provide reactive power support for the wind turbine generator during high voltage ride through, reactive power priority control is adopted during the high voltage ride through, active output is preferentially ensured under a normal running state, and active priority control is selected.
(b) An operation state switching sub-module: the method is used for switching the running state of the fan;
the fan model includes four operating states: normal running state, running state in high voltage crossing, high voltage crossing recovery running state, high voltage crossing failure running state. The operation state in high voltage ride through and the recovery operation state in high voltage ride through are collectively called as a high voltage ride through operation control state. The power output of the fan is controlled by a converter in normal running state, the control strategy in high voltage ride through is started in running state in high voltage ride through, the fan is switched off in failure state in high voltage ride through, and the control strategy in high voltage ride through recovery is started in recovery running state in high voltage ride through. The active and reactive current control output of the converter in the normal running state is I pcmd ′、I qcmd ' the control output of the converter in the high voltage ride through operation state is I pcmd_hvrt 、I qcmd_hvrt The method comprises the steps of carrying out a first treatment on the surface of the As shown in fig. 2, the converter finally outputs a current command I pcmd 、I qcmd Is determined by the operating state, the high voltage ride through control and the current limiting model.
(c) An operating state control sub-module in high voltage ride through:
the operation state control submodule in high-voltage ride through comprises 5 control units including active current control, reactive current control, ride-through recovery starting point active current control, ride-through recovery starting point reactive current control and current control under an asymmetric high-voltage ride-through operation state, wherein the actual operation needs to be selected from specific control modes contained in the 5 control units, and the wind turbine generator control of the operation state in the high-voltage ride-through is jointly realized. The reason for leading the wind turbine generator to enter the high-voltage crossing state mainly comprises two conditions of symmetrical faults and asymmetrical faults, wherein the three-phase voltage rise belongs to the symmetrical faults, and the single-phase or two-phase voltage rise belongs to the asymmetrical faults. The control units (1), (2), (3) and (4) are needed under the symmetrical faults, and the control units (3), (4) and (5) are needed under the asymmetrical faults.
(1) Active current control:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) Specified power:
P HVRT ＝K P-HVRT *P 0 +P set_HV (3)
wherein P is 0 : active power in normal operating conditions; p (P) HVRT : active power in the running state in high voltage ride through; k (K) P_HVRT : active power calculation coefficient 1; p (P) set_HV : the active power calculates a coefficient 2.
(3) Specifying current:
Ip HVRT ＝K 1-Ip-HV *V t +K 2-Ip-HV *Ip 0 +Ip set_HV (4)
in the formula, ip 0 : active current in a normal operating state; ip (internet protocol) HVRT : active current in the running state in high voltage ride through; k (K) 1_Ip_HV : active current calculation coefficient 1; k (K) 2_Ip_HV : active current calculation coefficient 2; ip (internet protocol) set_HV : an active current set value 1; v (V) t : positive sequence voltage value at the outlet of the fan.
(4) Current before push-through: the active current at the moment immediately before the high voltage ride through is entered is maintained.
(2) Reactive current control:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) Specified power:
Q HVRT ＝K Q_HVRT *Q 0 +Q set_HV (5)
in which Q 0 : reactive power in normal operating conditions; q (Q) HVRT : reactive power in the running state in high voltage ride through; k (K) Q_HVRT : calculating a coefficient 1 of reactive power; q (Q) set_HV : the reactive power calculates a coefficient 2.
(3) Specifying current:
Iq HVRT ＝K 1_Iq_HV *(VH in -V t )+K 2_Iq_HV *Iq 0 +Iq set-HV (6)
in the formula Iq 0 : reactive current in a normal operating state; iq HVRT : reactive current in the running state in high voltage ride through; k (K) 1_Iq_HV : calculating a coefficient 1 of reactive current; k (K) 2_Iq_HV : calculating a coefficient 2 of reactive current; iq set_HV : reactive current set point 1; v (V) t : positive sequence voltage value of fan outlet; VH (VH) in : a high voltage crossing threshold is entered.
(3) Active current control across recovery onset:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) As a percentage of the initial active current
In the formula, ip HVRSP : active current crossing the recovery start point;an initial active current percentage coefficient;active powerCurrent set point 2.
(3) Active current during fault: active current is maintained in the high voltage ride through operating state.
(4) Active power during failure: active power maintained in the running state in high voltage ride through converts the active current according to the ride-through recovery starting point positive sequence voltage.
(4) And (3) controlling reactive current at a crossing recovery starting point:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) According to the initial reactive current: and controlling reactive current when the wind turbine generator runs normally.
(3) By percentage of reactive current during fault
In the formula Iq HVRSP : passing through the recovery starting point reactive current;percentage coefficient of reactive current during fault;reactive current set point 2.
(4) The reactive power is replaced by the reactive power according to the reactive power percentage (the formula structure and the coefficient are the same (3)) during the fault
(5) Current control in asymmetric high voltage ride through operating conditions:
(1) the symmetrical fault processing method comprises the following steps: and the active and reactive currents are directly controlled according to the control units (1) and (2) without distinguishing the symmetrical faults from the asymmetrical faults.
(2) Based on positive sequence voltage control:
in the formula, ip HVRT_UBL : active current during asymmetric high voltage ride through; iq HVRT_UBL : reactive current during asymmetric high voltage ride through; k (K) 1_Ip_HV_UBL : calculating a coefficient 1 of the active current of the asymmetric fault; k (K) 2_Ip_HC_UBL : calculating a coefficient 2 of the active current of the asymmetric fault; ip (internet protocol) set_HV_UBL : an asymmetric fault active current setpoint; k (K) 1_Iq_HV_UBL : calculating a coefficient 1 of asymmetric fault reactive current; k (K) 2_Iq_HV_UBL : calculating a coefficient 2 of the asymmetrical fault reactive current; iq set_HV_UBL : an asymmetric fault reactive current setpoint.
(3) Based on negative sequence voltage control (formula and coefficient are the same (2)), positive sequence voltage is replaced by negative sequence voltage
(4) Correction based on symmetrical fault current and negative sequence voltage
Wherein K is 3_Ip_HV_UBL : an asymmetric fault active current calculation coefficient 3; k (K) 3_Iq_HV_UBL : calculating a coefficient 3 of asymmetric fault reactive current; v (V) 2t : negative sequence voltage value at fan outlet.
(d) The high voltage ride through recovery running state control submodule:
the high voltage ride through recovery running state control module comprises 2 control units, namely active power recovery control and reactive power recovery control, wherein the control units are selected from specific control modes contained in the 2 control units in actual running, and the wind turbine generator control of the high voltage ride through recovery running state is realized together.
(1) Active power recovery control:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) According to the slope:
P HVRECO ＝min(P HVRSP +K P_RECO ·t,P 0 ) (11)
wherein P is HVRECO : active power during high voltage ride through recovery; p (P) HVRSP : recovery starting pointActive power; k (K) P_RECO : active power recovery slope; t: high voltage ride through recovery time.
(3) According to an inertia curve:
wherein T is P_RECO : the active power recovers the inertia constant.
(2) Reactive power recovery control:
(1) no additional control: and maintaining a control strategy in normal operation.
(2) According to an inertia curve:
in which Q HVRECO : reactive power during high voltage ride through recovery; q (Q) HVRSP : recovering reactive power of the starting point; t (T) Q_RECO : reactive power recovers the inertia constant.
As shown in fig. 3, the identification process of the high voltage ride through parameter of the wind turbine mainly includes the following steps:
(a) Filling basic parameters obtained from a wind turbine specification into a wind turbine model, calculating the maximum value of power and current of the converter based on measured data, and filling the maximum value into the wind turbine model;
(b) As shown in fig. 4, fig. 4 is a schematic diagram of a high-voltage fault trigger circuit required in the relevant standards of wind turbine generator model test and simulation, and a current-limiting impedance and a bypass switch connected in parallel with the current-limiting impedance are connected between the high-voltage side of a wind turbine generator step-up transformer and an external power grid, and a step-up branch is connected between the current-limiting impedance and the wind turbine generator step-up transformer. The boost branch circuit is specifically formed by connecting a closed short circuit switch, a boost branch circuit resistor and a boost capacitor in series. In addition, the data measuring point is positioned on the high-voltage side of a step-up transformer (box transformer) of the wind turbine generator. Based on the high-voltage fault trigger circuit structure, a high-voltage ride-through test model shown in fig. 5 is established, a wind turbine generator is connected into a power grid through a step-up transformer (box transformer) and two sections of current collecting circuits in sequence, a fault point (namely a step-up branch access point) is positioned between the two sections of current collecting circuits, the function of a step-up branch is simulated through a PSASP transient fault setting function, the test model is obtained, and the subsequent parameter identification and simulation verification processes are all based on the test model; identifying a high-voltage fault access impedance value, adjusting the line voltage during the high-voltage crossing period to be consistent with the actual measurement data under each working condition, and calculating to obtain the positive sequence voltage during the fault period;
(c) Judging the running state of the wind turbine generator under each voltage rise working condition according to the actually measured curve of reactive power under each working condition and the wind turbine instruction book, and estimating the high voltage crossing state judging parameters of the wind turbine generator, wherein the high voltage crossing state judging parameters comprise a voltage value VH entering a high crossing state in Voltage value VH for exiting from high-pass state out The method comprises the steps of carrying out a first treatment on the surface of the The reactive power output of the wind turbine generator system is suddenly reduced by more than 0.1p.u., and if the high-voltage fault is considered to occur, the wind turbine generator system can be judged to enter a high-voltage crossing state, and the positive sequence voltage maximum value in the fault crossing period in the working condition without entering the high-voltage crossing state is recorded as U 1_HVRT_max VH then in ＝VH out ＝U 1_HVRT_max +0.03p.u.；
(d) The actual measurement data of the wind turbine generator in the running state in the high voltage ride through is combined with the running state control submodule in the high voltage ride through to obtain control parameters in different control mode combinations by fitting, and the specific flow is as follows: the control unit combinations of all possible running state control sub-modules in the high-voltage ride through are enumerated, the control parameters of each control combination are respectively obtained by fitting through a curve fitting technology (parameter fitting is not needed for a control mode without parameters, only the control mode is needed to be selected), the obtained control parameters are filled into a wind turbine model, and further wind turbine line voltage, reactive current, active power and reactive power response curves in the running state in the high-voltage ride through under each working condition are obtained through simulation test;
(e) Based on actual measurement data of the wind turbine generator in the running state in the high voltage ride through, taking a modified parameter-simulation calculation-calculation voltage rising and peak error at voltage recovery moment as an iteration unit, and utilizing an optimizing algorithm to continuously and iteratively optimize the generator parameter and the converter parameter until the peak error of active power, reactive power and reactive current is smaller than 0.01p.u. (if the error requirement cannot be met, the parameter with the minimum error is adopted) so as to obtain the optimal generator parameter and the optimal converter parameter;
(f) The actual measurement data of the wind turbine generator in the high-voltage recovery running state is utilized, the control parameters under different control mode combinations are obtained by fitting by combining the high-voltage ride through recovery running state control submodule, and the specific flow is as follows: the method comprises the steps of enumerating all possible control unit combinations of a control submodule for recovering the running state of high voltage ride through, respectively fitting by using a curve fitting technology for all the control combinations to obtain control parameters of each control combination (parameter fitting is not needed for a control mode without parameters, only the control mode is needed to be selected), filling the obtained control parameters into a wind turbine model, and further obtaining reactive current, active power and reactive power response curves of the wind turbine under the recovering running state of high voltage ride through under each working condition through simulation test;
(g) And calculating errors of the transient model of the doubly-fed wind turbine generator, which is obtained based on the parameter identification method, and measured data before, during and after the fault by using the simulation test curve data of each working condition, which are obtained by the steps, and selecting a control mode combination with the maximum number of working conditions meeting the upper limit of the errors and the minimum average error and parameters thereof as parameter identification results. The parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter, the parameters of the (1) - (5) contained in the high-voltage crossing operation state control sub-module and the parameters of the (1) - (2) contained in the high-voltage crossing operation state control sub-module. The error calculation method and the error upper limit adopt three provided bases for specific wind turbine generator model test and simulation bases for calculation.
The second embodiment is as follows:
the embodiment is a high voltage ride through parameter identification system of a transient model of a doubly-fed wind turbine, the system comprising:
the converter setting module: according to the maximum value of the power and the current of the converter calculated based on the measured data of the wind turbine, filling the maximum value into a wind turbine model;
a current priority setting module: the method comprises the steps of setting current priority of a wind turbine generator model;
Positive sequence voltage acquisition module during failure: based on a high-voltage ride-through test model corresponding to the wind turbine generator model, setting an access impedance value for identifying a high-voltage fault, adjusting line voltage during the high-voltage ride-through period to be consistent with measured data under each working condition, and calculating to obtain positive sequence voltage during the fault period;
the high voltage crossing state judgment parameter estimation module: judging the running state of the wind turbine generator under each voltage rise working condition according to the actual measurement curve of reactive power under each working condition, and estimating the high voltage crossing state judging parameters of the wind turbine generator by combining the positive sequence voltage during the fault period, wherein the high voltage crossing state judging parameters comprise a voltage value entering a high crossing state and a voltage value exiting the high crossing state;
and an operation state control parameter fitting module in high voltage ride through: performing operation state control in high voltage ride through by utilizing measured data of the wind turbine generator in the operation state in the high voltage ride through, combining the high voltage ride through state judgment parameters, fitting to obtain control parameters under different control mode combinations, and inputting the control parameters into a wind turbine generator model;
generator parameters and converter parameter fitting module: based on the actual measurement data of the wind turbine generator model input with the control parameters and the running state of the wind turbine generator in the high voltage ride through, taking the modified parameter-simulation calculation-calculation voltage rising and voltage recovery peak error as an iteration unit, and continuously and iteratively optimizing the generator parameter and the converter parameter by utilizing an optimizing algorithm until the peak error of the active power, the reactive power and the reactive current obtained by the simulation test is smaller than an error threshold value, obtaining the optimal generator parameter and the optimal converter parameter and inputting the optimal generator parameter and the optimal converter parameter into the wind turbine generator model;
And the high voltage ride through recovery running state control parameter fitting module: based on the wind turbine generator model input with the optimal generator parameters and the optimal converter parameters, performing high-voltage ride through recovery running state control by utilizing measured data of the wind turbine generator in a high-voltage recovery running state, and fitting to obtain control parameters under different control mode combinations, wherein the control parameters are input into the wind turbine generator model;
and an optimal control parameter selection module: the method comprises the steps of obtaining simulation test curve data under various working conditions through simulation by using a wind turbine generator model and a corresponding high-voltage ride-through test model, calculating errors of the obtained doubly-fed wind turbine generator transient model and measured data before, during and after a fault, and selecting a control mode combination with the maximum number of working conditions meeting the upper limit of the errors and the minimum average error and parameters thereof as parameter identification results; the parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter and the parameters of the operation state control process in the high voltage ride through are included in the parameters and the parameters of the operation state control sub-process in the high voltage ride through are included in the parameters.
The system may be loaded and executed by a processor by at least one instruction, which should be understood to include any computer program product, software, or computerized method described herein; 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.
A computer or other programmable data processing apparatus carrying computer program instructions may include the functional units, modules, and other data for display, interaction, processing, communication, and other functions; communication, call, etc. with other systems, devices, apparatuses, etc. may also be performed through interfaces, etc.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (10)
1. The method for identifying the high-voltage ride through parameters of the transient model of the doubly-fed wind turbine generator is characterized by comprising the following steps of:
s1, calculating the maximum value of power and current of a converter based on measured data of a wind turbine generator, filling the maximum value of power and current of the converter into a wind turbine generator model, and setting current priority of the wind turbine generator model;
s2, based on a high voltage ride-through test model corresponding to the wind turbine generator model, connecting the identified high voltage fault to an impedance value, adjusting line voltage during the high voltage ride-through period to be consistent with actual measurement data under each working condition, and calculating to obtain positive sequence voltage during the fault period;
the high voltage ride through test model is as follows:
a current limiting impedance and a bypass switch connected in parallel with the current limiting impedance are connected between the high-voltage side of the wind turbine generator set step-up transformer and an external power grid, and a step-up branch is connected between the current limiting impedance and the wind turbine generator set step-up transformer; the data measurement point is positioned at the high-voltage side of the step-up transformer of the wind turbine generator; the wind turbine generator is connected into a power grid through a step-up transformer and two sections of current collecting circuits in sequence, fault points are positioned between the two sections of current collecting circuits, and the function of a step-up branch is simulated through a PSASP transient fault setting function to obtain a high-voltage ride-through test model;
s3, judging the running state of the wind turbine generator under each voltage rise working condition according to the actual measurement curve of reactive power under each working condition, and estimating the high voltage crossing state judging parameters of the wind turbine generator by combining the positive sequence voltage during the fault period, wherein the high voltage crossing state judging parameters comprise a voltage value entering the high crossing state and a voltage value exiting the high crossing state;
S4, performing operation state control in high voltage ride through by utilizing measured data of the wind turbine generator in the operation state in the high voltage ride through, combining the high voltage ride through state judgment parameters, fitting to obtain control parameters under different control mode combinations, and inputting the control parameters into a wind turbine generator model;
s5, based on the actual measurement data of the wind turbine generator model and the running state of the wind turbine generator in the high voltage ride through of the control parameters input in S4, taking a 'modification parameter-simulation calculation-calculation voltage rising and peak error at voltage recovery moment' as an iteration unit, and continuously and iteratively optimizing the generator parameters and the converter parameters by utilizing an optimizing algorithm until the peak error of active power, reactive power and reactive current obtained by simulation test is smaller than an error threshold value, obtaining optimal generator parameters and converter parameters and inputting the optimal generator parameters and the converter parameters into the wind turbine generator model;
s6, based on the optimal generator parameters and the optimal converter parameters of the wind turbine generator model input S5, performing high-voltage ride through recovery running state control by using measured data of the wind turbine generator in a high-voltage recovery running state, and fitting to obtain control parameters under different control mode combinations to be input into the wind turbine generator model;
s7, using the wind turbine generator model obtained in the steps and the corresponding high-voltage ride through test model, obtaining simulation test curve data under various working conditions through simulation, calculating errors of the obtained doubly-fed wind turbine generator transient model and measured data before, during and after the faults, and selecting a control mode combination with the largest number of working conditions meeting the upper limit requirement of the errors and the smallest average error and parameters thereof as parameter identification results; the parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter and the parameters of the operation state control process in the high voltage ride through are included in the parameters and the parameters of the operation state control sub-process in the high voltage ride through are included in the parameters.
2. The method for identifying the high-voltage ride through parameters of the transient model of the doubly-fed wind turbine generator according to claim 1, wherein in the process of setting the current priority of the wind turbine generator in S1, the current priority is set for the normal running state and the high-voltage ride through state respectively, reactive power priority control is adopted during the high-voltage ride through period, active power priority control is adopted during the normal running state, and the current calculation modes under the reactive power priority and the active power priority are as follows:
wherein I is pmax 、I qmax 、I max Maximum value of active current, reactive current and current respectively, I pmin 、I qmin 、I min Respectively the minimum values of active current, reactive current and current, I p_cmd 、I q_cmd The active current command value and the reactive current command value are respectively.
3. The method for identifying the high-voltage ride through parameters of the transient model of the doubly-fed wind turbine generator according to claim 2, wherein in the process of controlling the running state in the high-voltage ride through, an active current control mode, a reactive current control mode, a ride-through recovery starting point active current control mode and a ride-through recovery starting point reactive current control mode are adopted for controlling the symmetrical faults; aiming at the asymmetric faults, a ride-through recovery starting point active current control mode, a ride-through recovery starting point reactive current control mode and a current control mode in an asymmetric high-voltage ride-through running state are adopted for control.
4. The method for identifying the transient model high-voltage ride through parameters of the doubly-fed wind turbine generator according to claim 3, wherein the control mode in the control process of the running state in the high-voltage ride through is specifically as follows:
(1) The active current control mode comprises the following specific control:
1A, no additional control: maintaining a control strategy in normal operation;
1B, designated power control:
P HVRT ＝K P-HVRT *P 0 +P set_HV (3)
wherein P is 0 : active power in normal operating conditions; p (P) HVRT : active power in the running state in high voltage ride through; k (K) P_HVRT : active power calculation coefficient 1; p (P) set_HV : active power calculation coefficient 2;
1C, specified current control:
Ip HVRT ＝K 1-Ip-HV *V t +K 2-Ip-HV *Ip 0 +Ip set_HV (4)
in the formula, ip 0 : active current in a normal operating state; ip (internet protocol) HVRT : active current in the running state in high voltage ride through; k (K) 1_Ip_HV : active current calculation coefficient 1; k (K) 2_Ip_HV : active current calculation coefficient 2; ip (internet protocol) set_HV : an active current set value 1; v (V) t : positive sequence voltage value of fan outlet;
1D, current control before push-through: maintaining active current at a time before the high voltage ride through is entered;
(2) The reactive current control mode comprises the following specific control steps:
2A, no additional control: maintaining a control strategy in normal operation;
2B, designated power control:
Q HVRT ＝K Q_HVRT *Q 0 +Q set_HV (5)
In which Q 0 : reactive power in normal operating conditions; q (Q) HVRT : reactive power in the running state in high voltage ride through; k (K) Q_HVRT : calculating a coefficient 1 of reactive power; q (Q) set_HV : reactive powerA power calculation coefficient 2;
2C, specified current control:
Iq HVRT ＝K 1_Iq_HV *(VH in -V t )+K 2_Iq_HV *Iq 0 +Iq set-HV (6)
in the formula Iq 0 : reactive current in a normal operating state; iq HVRT : reactive current in the running state in high voltage ride through; k (K) 1_Iq_HV : calculating a coefficient 1 of reactive current; k (K) 2_Iq_HV : calculating a coefficient 2 of reactive current; iq set_HV : reactive current set point 1; vt: positive sequence voltage value of fan outlet; VH (VH) in : entering a high voltage crossing threshold;
(3) The active current control mode for traversing the recovery starting point comprises the following specific control:
3A, no additional control: maintaining a control strategy in normal operation;
3B, controlling according to the initial active current percentage:
in the formula, ip HVRSP : active current crossing the recovery start point;an initial active current percentage coefficient; />An active current set value 2;
3C, controlling according to active current during fault: active current maintained in an operating state in high voltage ride through;
3D, active power control during failure: active power maintained in the running state in high voltage ride through, and active current converted according to the ride-through recovery starting point positive sequence voltage;
(4) The reactive current control mode of the crossing recovery starting point comprises the following specific control:
4A, no additional control: maintaining a control strategy in normal operation;
4B, controlling according to the initial reactive current: controlling reactive current when the wind turbine generator runs normally;
4C, controlling according to the reactive current percentage during the fault:
in the formula Iq HVRSP : passing through the recovery starting point reactive current;percentage coefficient of reactive current during fault;reactive current set point 2;
4D, controlling according to the reactive power percentage during the fault: the formula and the coefficient are the same as those controlled according to the percentage of reactive current in the fault period, and the reactive current is replaced by reactive power;
(5) The current control mode under the asymmetric high voltage ride through operation state comprises the following specific control:
5A, controlling according to a symmetrical fault handling mode: the symmetrical faults and the asymmetrical faults are not distinguished, and active and reactive currents are directly controlled according to an active current control mode and a reactive current control mode;
5B, positive sequence voltage control:
in the formula, ip HVRT_UBL : active current during asymmetric high voltage ride through; iq HVRT_UBL : reactive current during asymmetric high voltage ride through; k (K) 1_Ip_HV_UBL : calculating a coefficient 1 of the active current of the asymmetric fault; k (K) 2_Ip_HV_UBL : asymmetric arrangement Calculating a fault active current calculation coefficient 2; ip (internet protocol) set_HV_UBL : an asymmetric fault active current setpoint; k (K) 1_Iq_HV_UBL : calculating a coefficient 1 of asymmetric fault reactive current; k (K) 2_Iq_HV_UBL : calculating a coefficient 2 of the asymmetrical fault reactive current; iq set_HV_UBL : an asymmetric fault reactive current setpoint;
5C, negative sequence voltage control: the formula and the coefficient are the same as those based on positive sequence voltage control, and positive sequence voltage is replaced by negative sequence voltage;
5D, correction control based on symmetrical fault current and negative sequence voltage:
wherein K is 3_Ip_HV_UBL : an asymmetric fault active current calculation coefficient 3; k (K) 3_Iq_HV_UBL : calculating a coefficient 3 of asymmetric fault reactive current; v (V) 2t : negative sequence voltage value at fan outlet.
5. The method for identifying the transient model high-voltage ride through parameters of the doubly-fed wind turbine generator set according to claim 3, wherein an active power control mode and a reactive power control mode are adopted for control in the control process of the high-voltage ride through recovery running state, and the control modes are as follows:
(1) Active power recovery control:
1a, no additional control: maintaining a control strategy in normal operation;
1b, controlling according to the slope:
P HVRECO ＝min(P HVRSP +K P_RECO ·t,P 0 ) (11)
wherein P is HVRECO : active power during high voltage ride through recovery; p (P) HVRSP : restoring the active power of the starting point; k (K) P_RECO : active power recovery slope; t: high voltage ride through recovery time;
1c, controlling according to an inertia curve:
wherein T is P_RECO : active power recovery inertia constant;
(2) Reactive power recovery control:
2a, no additional control: maintaining a control strategy in normal operation;
2d, controlling according to an inertia curve:
in which Q HVRECO : reactive power during high voltage ride through recovery; q (Q) HVRSP : recovering reactive power of the starting point; t (T) Q_RECO : reactive power recovers the inertia constant.
6. The method for identifying the high voltage ride through parameters of the transient model of the doubly-fed wind turbine generator according to claim 5, wherein the specific processing procedure in step S4 is as follows:
and (3) enumerating all possible control mode combinations of the running state control process in the high-voltage ride through, respectively fitting by using a curve fitting technology aiming at all the control combinations to obtain control parameters of each control combination, filling the obtained control parameters into a wind turbine model, and further obtaining wind turbine line voltage, reactive current, active power and reactive power response curves under the running state in the high-voltage ride through under each working condition through a simulation test.
7. The method for identifying the high voltage ride through parameters of the transient model of the doubly-fed wind turbine generator according to claim 6, wherein the specific processing procedure in step S6 is as follows:
And (3) enumerating all possible control mode combinations of the control process of the high-voltage ride through recovery running state, respectively fitting by using a curve fitting technology aiming at all the control combinations to obtain control parameters of each control combination, filling the obtained control parameters into a wind turbine model, and further obtaining reactive current, active power and reactive power response curves of the wind turbine under the high-voltage ride through recovery running state under each working condition through simulation test.
8. The method for identifying high voltage ride through parameters of a transient model of a doubly-fed wind turbine generator according to any one of claims 1 to 7, wherein in the process of continuously and iteratively optimizing generator parameters and converter parameters by using an optimizing algorithm, if the peak errors of active power, reactive power and reactive current cannot meet the error requirement that the peak errors of the active power, reactive power and reactive current are smaller than the error threshold, the parameters with the minimum errors are adopted to obtain the optimal generator parameters and converter parameters.
9. The method for identifying the high-voltage ride through parameters of the transient model of the doubly-fed wind turbine generator system according to claim 8, wherein the boost branch is specifically formed by connecting a closed short-circuit switch, a boost branch resistor and a boost capacitor in series.
10. The utility model provides a high voltage ride through parameter identification system of double-fed wind turbine generator transient model which characterized in that, the system includes:
the converter setting module: according to the maximum value of the power and the current of the converter calculated based on the measured data of the wind turbine, filling the maximum value into a wind turbine model;
a current priority setting module: the method comprises the steps of setting current priority of a wind turbine generator model;
positive sequence voltage acquisition module during failure: based on a high-voltage ride-through test model corresponding to the wind turbine generator model, setting an access impedance value for identifying a high-voltage fault, adjusting line voltage during the high-voltage ride-through period to be consistent with measured data under each working condition, and calculating to obtain positive sequence voltage during the fault period;
the high voltage crossing state judgment parameter estimation module: judging the running state of the wind turbine generator under each voltage rise working condition according to the actual measurement curve of reactive power under each working condition, and estimating the high voltage crossing state judging parameters of the wind turbine generator by combining the positive sequence voltage during the fault period, wherein the high voltage crossing state judging parameters comprise a voltage value entering a high crossing state and a voltage value exiting the high crossing state;
and an operation state control parameter fitting module in high voltage ride through: performing operation state control in high voltage ride through by utilizing measured data of the wind turbine generator in the operation state in the high voltage ride through, combining the high voltage ride through state judgment parameters, fitting to obtain control parameters under different control mode combinations, and inputting the control parameters into a wind turbine generator model;
Generator parameters and converter parameter fitting module: based on the actual measurement data of the wind turbine generator model input with the control parameters and the running state of the wind turbine generator in the high voltage ride through, taking the modified parameter-simulation calculation-calculation voltage rising and voltage recovery peak error as an iteration unit, and continuously and iteratively optimizing the generator parameter and the converter parameter by utilizing an optimizing algorithm until the peak error of the active power, the reactive power and the reactive current obtained by the simulation test is smaller than an error threshold value, obtaining the optimal generator parameter and the optimal converter parameter and inputting the optimal generator parameter and the optimal converter parameter into the wind turbine generator model;
and the high voltage ride through recovery running state control parameter fitting module: based on the wind turbine generator model input with the optimal generator parameters and the optimal converter parameters, performing high-voltage ride through recovery running state control by utilizing measured data of the wind turbine generator in a high-voltage recovery running state, and fitting to obtain control parameters under different control mode combinations, wherein the control parameters are input into the wind turbine generator model;
and an optimal control parameter selection module: the method comprises the steps of obtaining simulation test curve data under various working conditions through simulation by using a wind turbine generator model and a corresponding high-voltage ride-through test model, calculating errors of the obtained doubly-fed wind turbine generator transient model and measured data before, during and after a fault, and selecting a control mode combination with the maximum number of working conditions meeting the upper limit of the errors and the minimum average error and parameters thereof as parameter identification results; the parameter identification result comprises the following parameters: the parameters of the generator, the parameters of the converter and the parameters of the operation state control process in the high voltage ride through are included in the parameters and the parameters of the operation state control sub-process in the high voltage ride through are included in the parameters.
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