CN115202328A - Multi-field coupling considered grid-connected performance analysis method for large-capacity offshore wind turbine generator - Google Patents

Multi-field coupling considered grid-connected performance analysis method for large-capacity offshore wind turbine generator Download PDF

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CN115202328A
CN115202328A CN202211133611.4A CN202211133611A CN115202328A CN 115202328 A CN115202328 A CN 115202328A CN 202211133611 A CN202211133611 A CN 202211133611A CN 115202328 A CN115202328 A CN 115202328A
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grid
wind turbine
turbine generator
offshore wind
connected performance
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李鹏
马溪原
俞靖一
王鹏宇
杨铎烔
许一泽
程凯
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Southern Power Grid Digital Grid Research Institute Co Ltd
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    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
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    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract

The invention provides a multi-field coupling considered grid-connected performance analysis method for a high-capacity offshore wind turbine generator, which comprises the following steps of: the method comprises the steps of firstly, building a grid-connected performance analysis platform of a high-capacity offshore wind turbine generator set considering multi-field coupling of a microcosmic wind field, a wave field, a wake field and a temperature field of an offshore wind farm based on a hardware-in-the-loop simulation device framework of the wind turbine generator set, secondly, testing various performances of the high-capacity offshore wind turbine generator set according to a grid-connected performance analysis index evaluation system, then, evaluating and analyzing various grid-connected performance indexes of the high-capacity offshore wind turbine generator set based on a built unified evaluation model of the grid-connected performance indexes of the offshore wind turbine generator set, and further comprehensively evaluating the grid-connected performance of the offshore wind turbine generator set. The invention can test, analyze and comprehensively evaluate the grid-connected performance of the high-capacity offshore wind turbine main controller and the converter controller; the method optimizes the process of the grid-connected analysis test of the offshore wind turbine generator and reduces the test cost.

Description

Multi-field coupling considered grid-connected performance analysis method for large-capacity offshore wind turbine generator
Technical Field
The invention relates to the field of wind power generation, in particular to a method for analyzing the grid-connected performance of a high-capacity offshore wind power generation unit considering multi-field coupling.
Background
Offshore wind energy resources in China are rich, and in recent years, offshore wind power is rapidly developed. However, the cost of offshore wind power is about twice that of onshore wind power, the important means for reducing the cost is the large-scale of a single machine, and the large-scale grid connection of a large-scale offshore wind power generator set is an important direction for offshore wind power development in China in the future.
The traditional wind turbine generator grid-connected characteristic testing method mainly adopts an actual measurement mode, is limited by factors such as weather, geographical position and limited testing machine position, and has long actual measurement period and high unit transportation, hoisting and dismounting cost. Due to the unique basic supporting structure conditions and the water surface environment of the offshore wind turbine, the grid-connected actual measurement mode of the onshore fixed machine position is not suitable for the offshore wind turbine, and meanwhile, the large-scale wind turbine is difficult to actually measure, large in investment, long in period, complex in working condition, easy to be influenced by multi-field coupling characteristics and the like.
The method for analyzing the grid-connected performance of the wind turbine generator based on the semi-physical simulation platform is beneficial to shortening the test period of the wind turbine generator and reducing the investment cost. In the existing research, chinese patent document No. CN104865845B discloses a large-scale wind turbine generator system real-time operation control joint simulation platform and a construction method thereof, and the method adopts GH Bladed and RTDS joint to construct the wind turbine generator system simulation platform, and realizes complete closed-loop control, and the method can be used for hardware-in-loop test of fan master control and converter controller, but does not provide a grid-connected performance analysis method, and needs to be improved and developed.
Disclosure of Invention
The invention provides a multi-field coupling considered grid-connected performance analysis method for a high-capacity offshore wind turbine generator, which can comprehensively evaluate the grid-connected performance of a high-capacity offshore wind turbine generator main controller and a converter controller, optimize the grid-connected analysis and test flow of the offshore wind turbine generator, and reduce the test cost.
The invention provides a multi-field coupling considered grid-connected performance analysis method for a high-capacity offshore wind turbine generator, which comprises the following steps of:
step 1: based on the existing hardware-in-the-loop simulation device architecture of the wind turbine generator, a grid-connected performance analysis platform of the high-capacity offshore wind turbine generator is built, wherein the multi-field coupling of a micro wind field, a wave field, a wake field and a temperature field of an offshore wind power plant is considered;
step 2: according to a grid-connected performance analysis index evaluation system, a unified evaluation model based on grid-connected performance indexes of the offshore wind power generation set is constructed, and all grid-connected performance indexes of the large-capacity offshore wind power generation set are evaluated;
and 3, step 3: and (3) combining the evaluation results of various grid-connected performance indexes of the wind turbine generator, and performing comprehensive evaluation analysis on the grid-connected performance of the large-capacity offshore wind turbine generator by adopting a comprehensive evaluation model based on an analytic hierarchy process.
The method for analyzing the grid-connected performance of the high-capacity offshore wind turbine generator set considering multi-field coupling is mainly realized by means of a high-capacity offshore wind turbine generator set grid-connected performance analysis platform, wherein the platform consists of a high-capacity offshore wind turbine generator set hardware-in-loop simulation device and a grid-connected performance analysis device, the high-capacity offshore wind turbine generator set hardware-in-loop simulation device can test various performances of the offshore wind turbine generator set, and the grid-connected performance analysis device mainly evaluates and analyzes the grid-connected performance of the offshore wind turbine generator set.
In step 1, based on the existing hardware-in-the-loop simulation device architecture of the wind turbine generator system, the method specifically includes: a high-precision pneumatic model, a mechanical model, a yaw system model and a pitch system model of a large-capacity offshore wind turbine unit are built in GH Bladed software, an electric model and an alternating current-direct current hybrid power grid model of the large-capacity offshore wind turbine unit are built in an RT-LAB simulation module, a main control system and a converter controller of the real large-capacity offshore wind turbine unit to be tested and analyzed are built, and a hardware-in-the-loop simulation device of the large-capacity offshore wind turbine unit is further formed.
Combining the actually measured wind speed, wind direction, wave height, wave period, wake flow wind speed, turbulence degree, unit temperature and salinity and alkalinity during the grid-connected operation of the offshore wind power generation set, and constructing a grid-connected performance analysis platform of the high-capacity offshore wind power generation set, which considers the multi-field coupling of a microscopic wind field, a wave field, a wake field and a temperature field of the offshore wind power generation set; the grid-connected performance analysis platform can simulate a test environment when a offshore wind turbine set is under grid-connected operation under the influence of multi-field coupling, and comprises the following steps: specific wind speed, wind direction, wave height, wave period, wake flow wind speed, turbulence, unit temperature, salinity and alkalinity and the like.
The grid-connected performance analysis device includes: the device comprises a data acquisition module, an index evaluation module, a comprehensive analysis module, a result output module and a data storage module.
The grid-connected performance analysis device evaluates the power grid adaptability, fault ride-through capability, electric energy quality, power control capability and power grid active support capability of the large-capacity offshore wind turbine generator system by acquiring the operation test data of the offshore wind turbine generator hardware in the ring simulation device in real time, and comprehensively evaluates and analyzes the grid-connected performance according to the evaluation result; the operation test data at least comprises voltage, current, frequency, active power and reactive power, three-phase unbalance, flicker and total harmonic distortion rate of a wind turbine grid-connected point, and data such as an electric signal, an operation state signal, a power regulation signal and a voltage regulation signal during operation test of the wind turbine.
The data acquisition module comprises: the data acquisition unit and the data processing unit; the data acquisition unit can acquire data of the large-capacity offshore wind turbine generator grid-connected performance analysis test in real time and transmit the data to the data processing unit; the data processing unit is used for processing and repairing the acquired data, including processing abnormal data values and processing missing data values.
The index evaluation module is used for evaluating and analyzing various indexes of the grid-connected performance of the large-capacity offshore wind turbine generator and comprises a data feature extraction unit and an index calculation evaluation unit; the data feature extraction unit is used for extracting the features of the data acquired by the data acquisition module; and the index calculation and evaluation unit calculates and evaluates each index of the grid-connected performance based on the extracted data characteristics.
And the comprehensive analysis module is used for calculating an evaluation result based on the index of the index evaluation module and evaluating and analyzing the integral performance of the grid connection of the large-capacity offshore wind turbine generator.
And the result output module is used for receiving the comprehensive analysis result of the grid-connected performance of the large-capacity offshore wind turbine generator system, generating a corresponding grid-connected performance analysis report and outputting the report to a visual human-computer interface.
The data storage module is used for storing the real-time data acquired by the data acquisition module and storing a grid-connected performance analysis report.
In the step 2, the system for evaluating the grid-connected performance analysis indexes of the large-capacity offshore wind turbine generator comprises: the method comprises the following steps of (1) 6 primary indexes and 16 secondary indexes of power grid adaptability, fault ride-through capability, electric energy quality, active power control capability, reactive power control capability and power grid active support capability;
the secondary indexes of the power grid adaptability comprise: voltage deviation adaptability and frequency deviation adaptability;
secondary indicators of fault ride-through capability include: maintaining grid connection time and voltage recovery capability during voltage drop;
secondary indicators of power quality include: flicker, harmonic distortion rate, and three-phase imbalance;
secondary indicators of active power control capability include: active power regulation deviation, active power regulation response time and active power control overshoot;
secondary indicators of reactive power control capability include: power factor regulation capability and reactive power regulation response time;
the secondary indexes of the active supporting capacity of the power grid comprise: frequency active support capability, frequency active support response time, voltage active support capability, and voltage active support response time.
The method comprises the steps that a high-capacity offshore wind turbine grid-connected performance analysis index evaluation system is combined, data of a high-capacity offshore wind turbine grid-connected operation test are collected in real time, and characteristic values of all grid-connected performance indexes of the high-capacity offshore wind turbine are analyzed and calculated;
and secondly, establishing a unified assessment model based on the grid-connected performance indexes of the offshore wind turbines, and assessing all the grid-connected performance indexes of the large-capacity offshore wind turbines.
The unified evaluation model for the grid-connected performance indexes of the offshore wind turbine generator is constructed as follows:
Figure 277828DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 663810DEST_PATH_IMAGE002
is shown asiItem for evaluating grid-connected performancejAn evaluation score of the item index;
Figure 912389DEST_PATH_IMAGE003
is a calculated value of the index,
Figure 42019DEST_PATH_IMAGE004
is a reference value of the index; the forward index is an index with higher numerical value and better grid-connected performance; the negative index is an index with smaller numerical value and better grid connection performance; the fixed value index is an index with better grid connection performance when the numerical value is closer to a fixed value.
In the step 3, firstly, an analytic hierarchy process is adopted to determine the weight of each index in the grid-connected performance analysis project, and according to the importance degree of different indexes on the grid-connected performance, an index weight matrix is obtained as follows:
Figure 840080DEST_PATH_IMAGE005
second combining the index weight matrix
Figure 396963DEST_PATH_IMAGE006
And evaluation results of various grid-connected performance indexes
Figure 398417DEST_PATH_IMAGE007
The method comprises the following steps of adopting a comprehensive evaluation model to comprehensively evaluate and analyze the grid-connected performance of the high-capacity offshore wind turbine generator, wherein the comprehensive evaluation model comprises the following steps:
Figure 331738DEST_PATH_IMAGE008
the method comprises the following steps of A, obtaining comprehensive grid-connected performance of a wind turbine generator;
Figure 735038DEST_PATH_IMAGE009
is as followsiItem for evaluating grid-connected performancejThe weight of the item index;
Figure 462822DEST_PATH_IMAGE010
an evaluation score representing the index;mrepresenting the number of wind turbine generator grid-connected performance evaluation items;nand the number of evaluation indexes in the grid-connected performance evaluation project is shown.
Compared with the prior art, the invention has the following technical effects: the method builds a grid-connected performance analysis platform of the high-capacity offshore wind turbine generator system, evaluates and analyzes various indexes of the grid-connected performance of the high-capacity offshore wind turbine generator system to obtain the comprehensive grid-connected performance of the wind turbine generator system, and outputs an analysis report, so that the grid-connected operation performance of the high-capacity offshore wind turbine generator system is accurately, effectively and objectively analyzed and evaluated.
Drawings
FIG. 1 is a flow chart of a method for analyzing the grid-connected performance of a high-capacity offshore wind turbine generator system considering multi-field coupling.
FIG. 2 is a diagram of a grid-connected performance analysis platform architecture for a large-capacity offshore wind turbine with multi-field coupling taken into consideration according to the present invention.
FIG. 3 is a diagram of a large-capacity offshore wind turbine grid-connected performance analysis index evaluation system.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 1 shows a flow chart of a method for analyzing grid-connected performance of a large-capacity offshore wind turbine generator system considering multi-field coupling according to the present invention, which includes the following specific contents:
step 1: based on the existing hardware-in-the-loop simulation device architecture of the wind turbine generator, a grid-connected performance analysis platform of the high-capacity offshore wind turbine generator is built, wherein the multi-field coupling of a micro wind field, a wave field, a wake field and a temperature field of an offshore wind power plant is considered.
The grid-connected performance analysis platform of the high-capacity offshore wind turbine generator system comprises a hardware-in-loop simulation device of the high-capacity offshore wind turbine generator system and a grid-connected performance analysis device, wherein the hardware-in-loop simulation device of the high-capacity offshore wind turbine generator system can test various performances of the offshore wind turbine generator system, and the grid-connected performance analysis device mainly evaluates and analyzes grid-connected performance of the offshore wind turbine generator system.
The high-capacity offshore wind turbine hardware-in-the-loop simulation device is characterized in that a high-precision pneumatic model, a mechanical model, a yaw model and a pitch model of the high-capacity offshore wind turbine are established in GH Bladed software; establishing a large-capacity offshore wind turbine generator set electrical model and an alternating current-direct current hybrid power grid model in an RT-LAB simulation module; the device and a main control system of the large-capacity offshore wind turbine generator set to be tested and a converter controller jointly form a combined hardware-in-loop simulation device.
The high-capacity offshore wind power generation set can adopt two transmission modes of direct current transmission and alternating current transmission, wherein a power grid model adopting the direct current transmission mode comprises the following steps: the system comprises a step-up transformer, a current collection circuit, a transmitting end converter, a power transmission line, a receiving end converter and an alternating current large power grid; the power grid model can simulate various faults and operating states of a real power grid.
On the basis of a high-capacity offshore wind turbine hardware-loop simulation device, a grid-connected performance analysis platform of the high-capacity offshore wind turbine is built by combining actually measured wind speed, wind direction, wave height, wave period, wake flow wind speed, turbulence, unit temperature and salinity and alkalinity during grid-connected operation of the offshore wind turbine, and taking into consideration the multi-field coupling of a micro wind field, a wave field, a wake field and a temperature field of an offshore wind turbine; the platform can output specific signals such as wind speed, wind direction, wave height, wave period, wake flow wind speed, turbulence degree, unit temperature, salinity and alkalinity to a wind turbine hardware-in-the-loop simulation device, and simulate an extreme test environment when the offshore wind turbine is under grid-connected operation due to multi-field coupling influence.
FIG. 2 is a diagram of a multi-field coupling-considered grid-connected performance analysis platform architecture of a large-capacity offshore wind turbine generator system.
A simulation model in GH Bladed software is connected and communicated with a main control system, an RT-LAB simulation module is connected and communicated with the main control system and a converter controller, and the RT-LAB simulation module carries out information interaction with other modules through an IO interface plate; the grid-connected performance analysis device is communicated with a simulation model and an RT-LAB simulation module in GH Bladed software by adopting a CAN bus.
The grid-connected performance analysis device has the functions of mode switching, data acquisition, data analysis, data storage and report generation, and can evaluate the grid adaptability, fault ride-through capability, electric energy quality, power control capability and grid active support capability of the large-capacity offshore wind turbine generator by acquiring the voltage, current, frequency, active and reactive power, three-phase imbalance, flicker, total harmonic distortion rate of a grid-connected point of wind turbine generator hardware in the ring simulation device in real time, and electric signals, running state signals, power regulation signals and voltage regulation signal data of the wind turbine generator during running test, and comprehensively evaluate and analyze the grid-connected performance according to an evaluation result.
The grid-connected performance analysis device comprises the following functional modules: the device comprises a data acquisition module, an index evaluation module, a comprehensive analysis module, a result output module and a data storage module.
The data acquisition module comprises a data acquisition unit and a data processing unit; the data acquisition unit can acquire data of the large-capacity offshore wind turbine generator grid-connected performance analysis test in real time and transmit the data to the data processing unit; the data processing unit can process and repair the acquired data, including processing abnormal data values and processing missing data values; deleting the abnormal value, and supplementing the data deleted due to the abnormal and the missing data by taking the average value of the previous data and the next data.
The index evaluation module is used for evaluating and analyzing various indexes of the grid-connected performance of the large-capacity offshore wind turbine generator.
The comprehensive analysis module can calculate an evaluation result based on the index of the index evaluation module, and evaluate and analyze the integral performance of the large-capacity offshore wind turbine grid connection.
The result output module can receive the comprehensive analysis result of the grid-connected performance of the large-capacity offshore wind turbine generator system, generate a corresponding grid-connected performance analysis report and output the report to a visual human-computer interface.
The data storage module can store real-time data of grid-connected operation of the wind turbine generator and save a grid-connected performance analysis report; a user can refer to historical operating data and historical grid-connected performance analysis reports of the wind turbine generator through the data storage module.
Step 2: constructing an offshore wind power generation set grid-connected performance index evaluation model according to a grid-connected performance analysis index evaluation system;
fig. 3 shows a grid-connected performance analysis index evaluation system for the large-capacity offshore wind turbine, which includes 6 primary indexes and 16 secondary indexes.
The primary indexes include: the system comprises the following components of power grid adaptability, fault ride-through capability, electric energy quality, active power control capability, reactive power control capability and power grid active support capability;
the secondary indexes of the power grid adaptability comprise: voltage deviation adaptability and frequency deviation adaptability;
secondary indicators of fault ride-through capability include: maintaining grid connection time and voltage recovery capability during voltage drop;
secondary indicators of power quality include: flicker, harmonic distortion rate, and three-phase imbalance;
secondary indicators of active power control capability include: active power regulation deviation, active power regulation response time and active power control overshoot;
secondary indicators of reactive power control capability include: power factor regulation capability and reactive power regulation response time;
the secondary indexes of the active supporting capacity of the power grid comprise: frequency active support capability, frequency active support response time, voltage active support capability, and voltage active support response time.
The method comprises the steps that a high-capacity offshore wind turbine grid-connected performance analysis index evaluation system is combined, data of a high-capacity offshore wind turbine grid-connected operation test are collected in real time, and characteristic values of all grid-connected performance indexes of the high-capacity offshore wind turbine are analyzed and calculated; and establishing a unified evaluation model based on the grid-connected performance indexes of the offshore wind turbine generator.
The unified evaluation model for the grid-connected performance indexes of the offshore wind turbine generator is constructed as follows:
Figure 685993DEST_PATH_IMAGE011
wherein the content of the first and second substances,
Figure 409623DEST_PATH_IMAGE012
is shown asiItem for evaluating grid-connected performancejAn evaluation score of the item index;
Figure 667429DEST_PATH_IMAGE013
is a calculated value of the index,
Figure 831694DEST_PATH_IMAGE014
is a reference value of the index; the forward index is an index with higher numerical value and better grid connection performance; the negative index is an index with smaller numerical value and better grid connection performance; the fixed value index is an index with better grid connection performance when the numerical value is closer to a fixed value.
Evaluating and calculating various grid-connected performance indexes of the large-capacity offshore wind turbine generator;
(1) Power grid suitability analysis
Analysis index and evaluation standard:
a) When the voltage of the grid-connected point is between 90% and 110% of the nominal voltage, the wind turbine generator can normally operate;
b) The requirements for the wind turbine when the grid frequency is in the different ranges are shown in table 1.
TABLE 1
Figure 807740DEST_PATH_IMAGE016
(2) Fault ride-through capability analysis
Analysis index and evaluation standard:
a) When the voltage of a grid-connected point of the wind turbine generator drops to 20% of nominal voltage due to a fault, the wind turbine generator in the wind power plant is ensured to continuously run for 625ms without being disconnected;
b) When the voltage of the grid-connected point of the wind turbine generator can be recovered to 90% of the nominal voltage within 2s after the drop; the wind turbine generator system should ensure continuous operation without disconnection.
(3) Power quality analysis
Analysis index and evaluation standard:
a) Analyzing whether a long-time flicker value caused by the wind turbine generator at a grid-connected point meets the requirement of GB/T12326;
b) And analyzing whether each harmonic current injected into the power grid by the wind turbine generator meets the requirement of GB/T14549.
(4) Active power control capability analysis
Analysis index and evaluation standard:
a) The maximum deviation allowed by the control of the active power set value of the wind turbine generator is not more than 5% of the rated power Pn of the wind turbine generator;
b) When the variable quantity of the set value is lower than 0.2Pn, the response time is not more than 10s, the variable quantity of the set value reaches 0.8Pn, and the response time is not more than 30s;
c) The overshoot is controlled by the active power set value of the wind turbine generator and is not more than 10% of the rated power of the wind turbine generator.
(5) Reactive power control capability analysis
Analysis index and evaluation standard:
a) The wind turbine generator set needs to meet the requirement that the power factor is dynamically adjustable within the range of 0.95-0.95 lag;
b) The steady-state control response time of reactive power regulation of the wind turbine generator set is not more than 30s;
(6) Power grid active support capability analysis
Analysis index and evaluation standard:
a) When the frequency of a grid-connected point of the wind turbine generator changes and crosses a primary frequency modulation dead zone, the wind turbine generator can adjust the active power output according to a frequency droop curve, the active power adjustment deviation is within +/-5% of rated output, and the response time is not more than 30s.
b) When the voltage of the grid-connected point of the wind turbine generator changes, the reactive power adjusting capability which can be provided by the wind turbine generator comprises reactive power response time and adjusting margin, the reactive power adjusting deviation is within +/-5%, and the response time is not more than 30s.
And step 3: the method comprises the steps that the evaluation results of all grid-connected performance indexes of the wind turbine generator are combined, and a comprehensive evaluation model based on an analytic hierarchy process is adopted to carry out comprehensive evaluation analysis on the grid-connected performance of the large-capacity offshore wind turbine generator;
considering the inconsistency of the importance degrees of different indexes on the grid-connected performance of the wind turbine generator, determining the weight of each index in a grid-connected performance analysis project by adopting an analytic hierarchy process, wherein the obtained index weight matrix is as follows:
Figure 551705DEST_PATH_IMAGE017
on the basis of the index weight matrix and the evaluation results of various grid-connected performance indexes, comprehensive evaluation analysis is carried out on the grid-connected performance of the large-capacity offshore wind turbine generator through a comprehensive evaluation model, wherein the comprehensive evaluation model comprises the following steps:
Figure 929597DEST_PATH_IMAGE018
the method comprises the following steps of A, obtaining comprehensive grid-connected performance of a wind turbine generator;
Figure 999184DEST_PATH_IMAGE019
is as followsiItem for evaluating grid-connected performancejThe weight of the item index;
Figure 711794DEST_PATH_IMAGE020
an evaluation score representing the index;mrepresenting the number of wind turbine generator grid-connected performance evaluation items;nand the number of evaluation indexes in the grid-connected performance evaluation project is shown.
Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.

Claims (5)

1. A method for analyzing the grid-connected performance of a high-capacity offshore wind turbine generator set considering multi-field coupling is characterized by comprising the following steps of:
step 1: based on the existing hardware-in-the-loop simulation device architecture of the wind turbine generator, a grid-connected performance analysis platform of the high-capacity offshore wind turbine generator is built, wherein the multi-field coupling of a micro wind field, a wave field, a wake field and a temperature field of an offshore wind power plant is considered;
step 2: according to a grid-connected performance analysis index evaluation system, a unified evaluation model based on grid-connected performance indexes of the offshore wind power generation set is established, and all grid-connected performance indexes of the large-capacity offshore wind power generation set are evaluated;
and 3, step 3: and (3) combining the evaluation results of various grid-connected performance indexes of the wind turbine generator, and performing comprehensive evaluation analysis on the grid-connected performance of the large-capacity offshore wind turbine generator by adopting a comprehensive evaluation model based on an analytic hierarchy process.
2. The method for analyzing the grid-connected performance of the high-capacity offshore wind turbine generator system considering the multi-field coupling according to claim 1, wherein in the step 1, on the basis of an existing wind turbine generator system hardware-in-loop simulation device, an extreme test environment in the grid-connected operation of the wind turbine generator system is simulated by combining actually measured wind speed, wind direction, wave height, wave period, wake flow speed, turbulence degree, unit temperature and salinity and alkalinity during the grid-connected operation of the offshore wind turbine generator system, and a grid-connected performance analysis platform of the high-capacity offshore wind turbine generator system considering the multi-field coupling of a microscopic wind field, a wave field, a wake field and a temperature field of the offshore wind turbine generator system is built.
3. The method for analyzing the grid-connected performance of the large-capacity offshore wind turbine generator system considering the multi-farm coupling according to claim 1, wherein in step 2, the grid adaptability, the fault ride-through capability, the power quality, the power control capability and the grid active support capability of the large-capacity offshore wind turbine generator system are evaluated by acquiring the voltage, the current, the frequency, the active power, the reactive power, the three-phase imbalance, the flicker and the total harmonic distortion rate of grid-connected points of hardware of the wind turbine generator system in the ring simulation device in real time, and the electric signals, the running state signals, the power regulation signals and the voltage regulation signal data of the wind turbine generator system during running test, and the grid-connected performance of the large-capacity offshore wind turbine generator system is comprehensively evaluated and analyzed according to the evaluation result.
4. The method for analyzing the grid-connected performance of the large-capacity offshore wind turbine generator with the multi-field coupling taken into consideration according to claim 1, wherein in the step 2, the unified evaluation model based on the grid-connected performance indexes of the offshore wind turbine generator is as follows:
Figure DEST_PATH_IMAGE002
wherein, the first and the second end of the pipe are connected with each other,
Figure DEST_PATH_IMAGE004
is shown asiItem for evaluating grid-connected performancejAn evaluation score of the item index;
Figure DEST_PATH_IMAGE006
is a calculated value of the index,
Figure DEST_PATH_IMAGE008
is a reference value of the index; the forward index is an index with higher numerical value and better grid connection performance; negative indicators refer to numerical valuesThe smaller the index is, the better the grid-connected performance is; the fixed value index is an index with better grid connection performance when the numerical value is closer to a fixed value.
5. The method for analyzing the grid-connected performance of the offshore wind turbine generator with the large capacity and the coupling among the multiple fields considered as claimed in claim 1, wherein in the step 3, the weight of each index in the grid-connected performance analysis project is determined by an analytic hierarchy process to obtain an index weight matrix
Figure DEST_PATH_IMAGE010
(ii) a Secondly, comprehensively evaluating and analyzing the grid-connected performance of the large-capacity offshore wind turbine generator set through a comprehensive evaluation model;
the comprehensive evaluation model comprises the following steps:
Figure DEST_PATH_IMAGE012
the method comprises the following steps of A, obtaining comprehensive grid-connected performance of a wind turbine generator;
Figure DEST_PATH_IMAGE014
is as followsiItem for evaluating grid-connected performancejThe weight of the item index;
Figure DEST_PATH_IMAGE016
an evaluation score representing the index;mrepresenting the number of wind turbine generator grid-connected performance evaluation items;nthe number of evaluation indexes in the grid-connection performance evaluation items is indicated.
CN202211133611.4A 2022-09-16 2022-09-16 Multi-field coupling considered grid-connected performance analysis method for large-capacity offshore wind turbine generator Pending CN115202328A (en)

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CN106980272A (en) * 2016-01-19 2017-07-25 上海交通大学 A kind of control system of wind turbines hardware in loop simulation and test platform
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Application publication date: 20221018