阅读说明：本技术 一种大型风力发电机组安全保护方法及系统 (Safety protection method and system for large wind generating set ) 是由 张坤 曾一鸣 宁琨 郭自强 王清照 杨鹤立 李玉霞 廖如霞 贾君实 苏坤林 于 2019-11-15 设计创作，主要内容包括：本发明公开了一种大型风力发电机组安全保护方法,属于风力发电机组的技术领域,该方法包括以下步骤：(A)实时获取风力发电机组的叶根扭矩相关数据文件；(B)对获取的叶根扭矩相关数据文件进行数据建模；(C)通过算法模型实时计算风力发电机组的叶轮转速数据；(D)根据叶轮转速数据,判断叶轮转速是否超速；(E)若判断叶轮转速处在超速运行状态,则立即发出相应的收桨停机信号,对风力发电机组进行实时安全保护,以达到对风力发电机组安全进行实时保护的目的。(The invention discloses a safety protection method for a large-scale wind generating set, belonging to the technical field of wind generating sets, and the method comprises the following steps: (A) acquiring a blade root torque related data file of the wind generating set in real time; (B) carrying out data modeling on the acquired blade root torque related data file; (C) calculating impeller rotating speed data of the wind generating set in real time through an algorithm model; (D) judging whether the rotating speed of the impeller is overspeed or not according to the rotating speed data of the impeller; (E) and if the rotating speed of the impeller is in an overspeed running state, immediately sending a corresponding propeller-retracting stop signal to carry out real-time safety protection on the wind generating set so as to achieve the purpose of carrying out real-time safety protection on the wind generating set.)

1. A safety protection method for a large-scale wind generating set is characterized by comprising the following steps:

(A) acquiring a blade root torque related data file of the wind generating set in real time;

(B) carrying out data modeling on the acquired blade root torque related data file;

(C) calculating impeller rotating speed data of the wind generating set in real time through an algorithm model;

(D) judging whether the rotating speed of the impeller is overspeed or not according to the rotating speed data of the impeller;

(E) and if the rotating speed of the impeller is in an overspeed running state, immediately sending a corresponding propeller retracting and stopping signal to carry out real-time safety protection on the wind generating set.

2. The safety protection method for large-scale wind generating sets according to claim 1, wherein the data modeling in the step (B) comprises data analysis and numerical calculation.

3. The safety protection method for large-scale wind generating sets according to claim 2, wherein the data analysis comprises: carrying out data analysis on a blade root torque related data file of the wind generating set acquired in real time, and generating a data analysis result;

the numerical calculation includes: and obtaining real-time impeller rotating speed data of the wind generating set by a numerical calculation method according to the data analysis result.

4. The safety protection method for the large-scale wind generating set according to claim 3, wherein the data analysis is performed on the plurality of blade root torque related data files of the wind generating set in the step (A) through a machine learning algorithm, and corresponding data analysis results are obtained.

5. The safety protection method for the large-scale wind generating set according to claim 3, wherein the numerical calculation is used for calculating the data analysis result through a corresponding numerical calculation method to obtain the impeller rotating speed data of the corresponding real-time wind generating set.

6. The safety protection method for large-scale wind generating set according to claim 1, wherein the step (D) comprises: and judging whether the rotating speed of the impeller exceeds the maximum safe threshold rotating speed or not by a rule abstraction method according to the rotating speed data of the impeller.

7. The safety protection method for the large-scale wind generating set according to claim 1, characterized in that the method further comprises a step (F) after the step (E), and the real-time impeller rotating speed data value of the sensor is corrected through a rule abstraction method according to the real-time impeller rotating speed data.

8. A safety protection method for large wind generating sets according to claim 6 or 7, characterized in that the rule abstraction method is an expert experience method or a machine learning algorithm.

9. A safety protection system of a large-scale wind generating set is characterized by comprising a signal acquisition device, a data storage and management device, a data processing device, an overspeed judgment device, a wind generating set main control device and a fault diagnosis module;

the signal acquisition device is used for acquiring a blade root torque related data file in real time in the running process of the wind generating set;

the data storage and management device is used for storing and managing data of the data file related to the blade root torque acquired in real time at present;

the data processing device carries out data analysis on the currently acquired blade root torque related data file to obtain corresponding impeller rotating speed data of the real-time wind generating set;

the overspeed judgment device is used for judging impeller rotating speed data and judging whether the rotating speed exceeds a maximum safety threshold rotating speed;

the wind generating set main control device is used for changing an overspeed signal into a oar-withdrawing and stopping signal under the condition of judging that the rotating speed of the impeller exceeds the speed, and sending an impeller rotating speed overspeed alarm signal to a wind farm central control room;

and the fault diagnosis module acquires a pitch-retracting shutdown signal, executes a pitch-retracting shutdown action and carries out safety protection on the wind generating set.

10. The safety protection system of the large-scale wind generating set according to claim 9, wherein a machine learning algorithm and a numerical analysis algorithm are built in the data processing device; an expert experience method or a machine learning algorithm is built in the overspeed judgment device.

Technical Field

The invention belongs to the technical field of wind generating sets, and particularly relates to a safety protection method and a safety protection system for a large wind generating set.

Background

Wind energy is a conversion form of solar energy, is inexhaustible, does not generate any harmful gas and waste materials in the process of converting the wind energy into the electric energy, and does not pollute the environment, so that the utilization of the wind energy is widely valued by governments of all countries in the world.

The amount of generated energy of the wind generating set is directly related to the running time of the wind generating set, so that the normal running of the wind generating set is guaranteed, and the wind generating set plays a vital role in improving the wind power economic benefit. However, the rotating speed of the impeller of the wind generating set is suddenly changed due to variable wind speed of a wind field or the fault of the wind generating set. If the rotating speed data of the impeller of the wind generating set cannot be obtained in time, the wind generating set is processed, and very serious consequences can be caused. In order to ensure the safe operation of the wind generating set, the impeller rotating speed data of the wind generating set needs to be acquired in real time, and the safety of the wind generating set is protected in real time.

However, for obtaining the impeller rotation speed data of the wind generating set in real time, a method of installing a proximity switch on the wind generating set is generally adopted at present. When the proximity switch breaks down, the impeller rotating speed data of the real-time wind generating set cannot be obtained, and then the safety of the wind generating set cannot be protected in real time, so that great potential safety hazards are brought to the operation of the wind generating set.

With the rapid development of the wind power industry, how to ensure the safe operation of the wind generating set becomes a serious problem at present. Therefore, a method for obtaining real-time impeller rotating speed data of the wind generating set and carrying out safety protection on the large wind generating set is very necessary.

Disclosure of Invention

In view of the above, in order to solve the above problems in the prior art, the present invention provides a method and a system for protecting safety of a large wind turbine generator system, so as to achieve the purpose of protecting safety of the wind turbine generator system in real time.

The technical scheme adopted by the invention is as follows: a safety protection method for a large-scale wind generating set comprises the following steps:

(A) acquiring a blade root torque related data file of the wind generating set in real time;

(B) carrying out data modeling on the acquired blade root torque related data file;

(C) calculating impeller rotating speed data of the wind generating set in real time through an algorithm model;

(D) judging whether the rotating speed of the impeller is overspeed or not according to the rotating speed data of the impeller;

(E) and if the rotating speed of the impeller is in an overspeed running state, immediately sending a corresponding propeller retracting and stopping signal to carry out real-time safety protection on the wind generating set.

Further, the data modeling in the step (B) includes data analysis and numerical calculation.

Further, the data analysis comprises: carrying out data analysis on a blade root torque related data file of the wind generating set acquired in real time, and generating a data analysis result;

the numerical calculation includes: and obtaining real-time impeller rotating speed data of the wind generating set by a numerical calculation method according to the data analysis result.

Further, the data analysis respectively performs data analysis on the plurality of blade root torque related data files of the wind generating set in the step (A) through a machine learning algorithm, and obtains corresponding data analysis results.

Further, the numerical calculation calculates the data analysis result through a corresponding numerical calculation method to obtain corresponding impeller rotating speed data of the real-time wind generating set.

Further, the step (D) includes: and judging whether the rotating speed of the impeller exceeds the maximum safe threshold rotating speed or not by a rule abstraction method according to the rotating speed data of the impeller.

Further, the method comprises a step (F) after the step (E), and the real-time impeller rotating speed data value of the sensor is corrected through a rule abstraction method according to the real-time impeller rotating speed data.

Further, the rule abstraction method is an expert experience method or a machine learning algorithm.

A safety protection system of a large-scale wind generating set comprises a signal acquisition device, a data storage and management device, a data processing device, an overspeed judgment device, a wind generating set main control device and a fault diagnosis module;

the signal acquisition device is used for acquiring a blade root torque related data file in real time in the running process of the wind generating set;

the data storage and management device is used for storing and managing data of the data file related to the blade root torque acquired in real time at present;

the data processing device carries out data analysis on the currently acquired blade root torque related data file to obtain corresponding impeller rotating speed data of the real-time wind generating set;

the overspeed judgment device is used for judging impeller rotating speed data and judging whether the rotating speed exceeds a maximum safety threshold rotating speed;

the wind generating set main control device is used for changing an overspeed signal into a oar-withdrawing and stopping signal under the condition of judging that the rotating speed of the impeller exceeds the speed, and sending an impeller rotating speed overspeed alarm signal to a wind farm central control room;

and the fault diagnosis module acquires a pitch-retracting shutdown signal, executes a pitch-retracting shutdown action and carries out safety protection on the wind generating set.

Furthermore, a machine learning algorithm and a numerical analysis algorithm are built in the data processing device; an expert experience method or a machine learning algorithm is built in the overspeed judgment device.

The invention has the beneficial effects that:

1. by adopting the safety protection method for the large-scale wind generating set, the real-time impeller rotating speed data of the wind generating set can be obtained by acquiring the blade root torque related data file of the wind generating set in real time, so that the real-time impeller rotating speed data is analyzed and processed, and the wind generating set is shut down when the impeller runs at an overspeed, thereby realizing the real-time safety protection for the wind generating set and further ensuring the safe operation of the large-scale wind generating set.

2. By adopting the safety protection method for the large-scale wind generating set, the real-time impeller rotating speed data value of the sensor is corrected by an expert experience method or a machine learning algorithm according to the real-time impeller rotating speed data.

3. By adopting the safety protection system for the large-scale wind generating set, provided by the invention, the signal acquisition device, the data storage and management device, the data processing device, the overspeed judgment device, the main control device of the wind generating set and the fault diagnosis module are matched with each other, so that the wind generating set is subjected to redundancy protection and timely sends out an alarm signal, and the safe operation of the wind generating set is ensured.

Drawings

FIG. 1 is a flow chart diagram of a safety protection method for a large wind generating set provided by the invention;

fig. 2 is a system architecture diagram of a safety protection system of a large wind generating set provided by the invention.

Detailed Description

Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar modules or modules having the same or similar functionality throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application. On the contrary, the embodiments of the application include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.