CN102565703A - Method for on-line recognizing and obtaining characteristic parameters of direct-drive permanent magnet synchronous wind turbine - Google Patents

Abstract

The invention discloses a method for online identification and acquisition of characteristic parameters of a direct-drive permanent magnet synchronous wind turbine. Through the identifier connected in parallel with the control system, the inherent state information of the control system is obtained directly from the control system, including the actual operating state data and control signal data of the unit, and the characteristic parameters of the unit are obtained through identification and calculation using advanced identification algorithms.

Description

Method for online identification and acquisition of characteristic parameters of direct drive permanent magnet synchronous wind turbine

technical field

The method for online identification and acquisition of the characteristic parameters of the direct-drive permanent magnet synchronous wind generator set of the present invention belongs to the research field of the basic theory and method of the operation control technology of the wind generator set.

Background technique

Wind energy is a clean and renewable energy. Due to the increasingly mature engineering technology and commercial operation, the wind power industry has been valued and vigorously developed in countries all over the world. The identification and modeling of wind turbines, especially the identification and acquisition of their characteristic parameters, can not only verify whether the current design is scientific, but also optimize the characteristic parameters of the unit, and provide accurate parameters for system analysis, choose a scientific operation mode, and improve the power generation of the unit. benefit. In short, the identification and acquisition of the characteristic parameters of the wind turbine has become the premise and key to the optimization of the operation control technology of the wind turbine.

In order to identify and obtain the characteristic parameters of wind turbines, experts and scholars have given different methods and implementation technologies. The typical method is: add a lot of measuring equipment to the existing units to obtain the operating status data of the units, combined with advanced identification algorithms, identify Calculate the characteristic parameters of the unit. The rationality of this method lies in: the operation idea is clear, and it is convenient for engineering realization. The engineering defect of this method is: the measurement data of the additional measurement equipment is more or less accompanied by noise and harmonic pollution, which greatly affects the accuracy of parameter identification; in addition, the parameters of each module of the unit have a strong relationship with the operating state. The relevance of the data in a certain state may not fully reflect the engineering characteristics of another state. Essentially, this identification method is a feature of offline identification and cannot truly reflect the characteristics of the unit.

Contents of the invention

The technical problem to be solved by the present invention is to use the real operating state data of the target system, on this basis, quickly identify the characteristic parameters of the unit on-line, and provide a method for identifying and obtaining the characteristic parameters of the direct-drive permanent magnet synchronous wind turbine with high accuracy. This method takes advantage of the fact that the unit control system must be connected with the status characteristics of each link, directly leads to the application status information, avoids measurement errors, and quickly tracks the operating status of the unit in a timely manner, and realizes fast, online, and high-precision identification of characteristic parameters.

The specific identification process of this method is as follows:

(1) Analyze the identifiability of its parameters by module. There are mechanical transmission module, generator module, frequency converter module, and controller module. Module, so clearly identify the target, and at the same time determine the known conditions required to identify a certain target parameter;

(2) The conclusion of the identifiable analysis corresponds to the four major modules and the four sub-modules of the control system, classifying the input and output of the controller, and clarifying the required measurement for parameter identification;

(3) Estimate the order of magnitude of the change in grouped measurement quantities, and set approximate limits for different state distinctions;

(4) According to different limit values, the group measurement quantities of the control system are classified according to the state, and the corresponding data are marked and recorded at the same time;

(5) According to the different sets of recorded data, according to the principle of from simple to complex, the parameters to be identified for the four major modules and the four sub-modules of the control system are identified step by step by using the optimal initial value-micro-variation search method;

(6) Combine the identified parameters with the model equations of each module to calculate the output, compare the coincidence between the calculated output and the actual output, if the conformity is good, output the result, if the conformity is not good, repeat the identification process;

(7) According to the required format, output the identification parameter results that meet the accuracy requirements;

(8) Such dynamic online identification parameters can output results in a timely manner according to the time span required by the project.

This method uses the input and output information of the control system directly to solve the problem of noise pollution in the measurement data of the general identification system, and uses its input and output information in a timely manner to realize the online timely and high-precision identification of unit characteristic parameters.

The advantages of this method are: the implementation steps are clear, independent from the adjustment link of the unit control system, the interface with the controller link is simple, easy to implement in engineering, and does not affect the realization and operation of other adjustment functions of the unit. It can not only run in parallel with the existing controller of the unit, but also can be implanted into the corresponding link of the existing controller, and can realize the accurate acquisition of the characteristic parameters of the permanent magnet synchronous wind turbine.

Instructions attached

Figure 1 is a block diagram of the control process.

Figure 2 is a block diagram of the implementation of the control algorithm.

Specific implementation

As shown in Figures 1 and 2, the specific implementation steps of the online identification and acquisition method for the characteristic parameters of the direct-drive permanent magnet synchronous wind turbine in the present invention are as follows:

Step 1: Centralize the input and output data of the controller;

Step 2: Classify the centralized data according to the four major modules to be identified and the four sub-modules of the controller;

Step 3: Convert the classified data into format and become the data that may be directly used for parameter identification;

Step 4: Use whether the state information reflected by the unit data exceeds the limit value to distinguish whether the operating state of the unit changes suddenly. If the state changes suddenly, record the data information of the corresponding state;

Step 5: Determine whether the recorded data meets the status information requirements of parameter identification. If yes, go to step 6. If not, go to step 1;

Step 6: Store and record state data;

Step 7: Determine whether the status data is sufficient, if it is enough, go to step 7, if not enough, go to step 4;

Step 8: Use sufficient state data, combined with the optimal initial value-micro-variation search algorithm, to perform group identification of characteristic parameters;

Step 9: Use the model equation and the identified parameters to calculate the output of the module, and check the identification accuracy of the parameters by the coincidence of the calculated output of the module and the measured output. If the conformity is good, go to step 10. If the conformity is not good, Then turn to the eighth step;

Step 10: output the identification result;

Step 11: Continue to repeat the above process online, constantly refreshing and outputting the identification results in due course.

Claims (2)

1. method that the synchronous wind-powered electricity generation machine unit characteristic of direct-drive permanent-magnetism on-line parameter identification obtains; It is characterized in that: function that the set of signals neutralization that the utilization unit control system has concurrently is sent, signal promptly is a data characteristic, has substituted the equipment that the general parameters identification need be provided with DATA REASONING separately; Guarantee the degree of accuracy of measurement data again; When operating states of the units takes place to change by a relatively large margin,, be used for parameter identification with the multiple running state information of tense marker record unit; During parameter identification, use the method for the substep identification of preferred initial value-little change search procedure, need the characterisitic parameter substep identification of identification to obtain in a large number unit, realize the function of on-line identification.

2. method that the synchronous wind-powered electricity generation machine unit characteristic of direct-drive permanent-magnetism on-line parameter identification obtains, it is characterized in that: its implementation procedure is following:

(1) sub-module is analyzed the identifiability of its parameter, and clear identification target is confirmed the needed known conditions of identification target component simultaneously;

(2) correspond respectively to four module and control system four sub-module, the needed measuring amount of clear and definite parameter identification;

(3) distinguish to set the limit value of the state parameter of different conditions,, measuring amount is carried out state distinguish, the data of answering with the tense marker picture recording by different limit values;

(4), use preferred initial value-little change search procedure substep identification unit characterisitic parameter according to data;

(5) combine the parameter of identification with the model equation of each module, calculate output, relatively calculate the degree of conformity between output and the actual output,, then export the result,, then repeat identification process if degree of conformity is bad if degree of conformity is good;

(6) so dynamic line identification parameter according to the time span of requirement of engineering, is exported the result in good time.

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