A control method for energy management system based on wind turbine load

Abstract

The present invention relates to a control method for an energy management system based on wind turbine loads. The technical scheme is to obtain load data of each wind turbine in real time, including bending moments in the X, Y and Z directions of the blade root, impeller, cabin, tower top and tower base coordinate systems; classify and calculate the limit load of each wind turbine according to the fluctuation period of each load; classify and calculate the weight of the limit load of each wind turbine in the limit load of all wind turbines; classify and calculate the reverse weight of the limit load of each wind turbine in the limit load of all wind turbines; distribute the active power of each wind turbine according to the reverse weight of the limit load of each wind turbine in the limit load of all wind turbines; and perform power control. The present invention utilizes the advantage that the wind turbine can calculate the load, and according to the positive correlation between the wind turbine load and the power within a certain range, proposes the system control method of the present invention, and achieves good results in the actual application of controlling and reducing the wind turbine load.

Description

Technical Field

[0001] The present invention relates to the field of wind turbine energy management system control methods, and in particular to a wind turbine load-based energy management system control method for realizing wind farm active power control and wind turbine load reduction. Background Art

[0002] In recent years, researchers have designed a variety of wind turbine energy management system control methods, some based on the rated power of the unit, some based on the real-time theoretical power of the unit, some based on the real-time active power of the unit, and some based on the available power of the unit. There are both unit rotation control strategies and power reduction operation strategies. These strategies have their own areas of expertise. On the other hand, due to the need to reduce costs, wind turbine load reduction has received more and more attention from wind turbine manufacturers. Each manufacturer has developed a unique load reduction strategy, which has been widely used and developed in the research and development, design and field operation of wind turbines. Summary of the invention

[0003] The present invention focuses on a wind turbine energy management control method and a wind turbine load reduction strategy, proposes an energy management system control method based on wind turbine load, and effectively reduces the wind turbine load through the energy management system control method.

[0004] The technical solution proposed by the present invention is:

[0005] A method for controlling an energy management system based on a wind turbine load comprises the following steps:

[0006] S1. Obtain the load data of each wind turbine in real time, including the bending moments in the X, Y, and Z axes of the blade root, impeller, nacelle, tower top, and tower base coordinate systems;

[0007] S2. Define the bending moment in any axis direction of any coordinate system in the blade root, impeller, nacelle, tower top or tower base coordinate system as a type of load, and classify and calculate the limit load of each unit according to the fluctuation period of each type of load; the specific method for calculating the limit load of each unit is as follows:

[0008] The fluctuation period of any type of load of any unit is T, and the collection period of the load data is t. (T / t+1) is rounded to T. C , then the limit load of this type of load for this unit is T C The maximum value of the latest collected data;

[0009] S3. Calculate the weight of each unit's limit load in the total limit load of all units by category. The calculation method is:

[0010] Any type of limit load is denoted as M i , the limit load of any unit is recorded as M ij , then the sum of this type of limit load is:

[0011]

[0012] In the formula, N is the total number of fans in the field;

[0013] Then the weight of this type of limit load of this unit in the limit load of this type of units in the whole field is:

[0014]

[0015] S4. Calculate the reverse weight of each unit's limit load in the same category of all units in the field by category. The calculation method is:

[0016]

[0017] S5. Allocate the active power of each unit and perform power control based on the reverse weight of each unit's limit load calculated by classification in the limit load of that type of units in the entire field. The allocation method includes linear allocation based on the reverse weight of each unit in any type of limit load and proportional linear allocation based on the reverse weight of each unit in any two or more types of limit loads.

[0018] According to the reverse weight linear distribution of each unit in any type of limit load, the active power distribution of the jth unit according to its reverse weight linear distribution in type i limit load can be obtained as:

[0019] P j =P t ·RR ij

[0020] Where P t is the total active power of the whole venue.

[0021] According to the linear distribution of the reverse weights of each unit in any two or more extreme load categories, the active power distribution of the j-th unit can be obtained by proportionally distributing the reverse weights of the j-th unit in the n extreme load categories:

[0022]

[0023] Where R i is the weight of the i-th limit load in the n limit load categories, which is set by the developer according to the unit characteristics, and the n weights R i The sum is 1, that is:

[0024]

[0025] The present invention takes advantage of the fact that the unit can calculate the load. Based on the positive correlation between the unit load and the power size within a certain range, an energy management system control method is proposed to adjust the active power of the fan in the reverse direction according to the fan load size. Good results have been achieved in the actual application of controlling and reducing the fan load. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 A schematic flow chart of a control method for an energy management system based on wind turbine load provided in an embodiment of the present invention.

[0027] Figure 2 This is a simulation result of the fan blade root load My before the implementation of the embodiment of the present invention.

[0028] Figure 3 It is the simulation result of the fan blade root load My under the same working conditions, the same fan model and the same main control strategy after the implementation of the embodiment of the present invention. DETAILED DESCRIPTION

[0029] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0030] See also Figure 1 , a wind turbine load-based energy management system control method of this embodiment includes the following steps:

[0031] S1. Obtain the bending moment of the unit impeller in the Y-axis direction of the fixed coordinate system from 25 wind turbines in a wind farm in real time.

[0032] S2. Calculate the bending moment limit load M in the Y-axis direction of the impeller fixed coordinate system of each unit based on the fluctuation period of the bending moment in the Y-axis direction of the impeller fixed coordinate system Y , the specific method is:

[0033] The ultimate load of the impeller of any unit M Y The fluctuation period is T, the collection period of the load data is t, (T / t+1) is rounded to T C , then the impeller limit load M Y T C The maximum value of the latest collected data.

[0034] S3. Calculate the impeller limit load M of each unit Y The weight of this type of extreme load of the entire unit is calculated as follows:

[0035] The impeller limit load of any unit is denoted as M Yj , then the sum of the ultimate loads of the fan impellers in the whole field is:

[0036]

[0037] Wherein, N is the total number of wind turbines in the field, which is 25 in this embodiment.

[0038] The impeller limit load M of the unit is Y The weight of this type of limit load in the entire field unit is:

[0039]

[0040] S4. Calculate the impeller limit load M of each unit Y The reverse weight of this type of extreme load for all units is calculated as follows:

[0041]

[0042] S5. According to the calculated limit load M of each unit impeller Y The reverse weight of the limit load of all units in the field is used to distribute the active power of each unit and perform power control. The distribution method is based on the impeller limit load M of each unit. Y The inverse weight linear assignment in .

[0043] According to the impeller limit load M of each unit Y The reverse weight linear distribution in , then the active power distribution of the j-th unit is:

[0044] P j =P t ·RR Yj

[0045] Where P t is the total active power of the whole venue.

[0046] like Figure 2 , 3 As shown, Figure 2 is the simulation result of the fan blade root load My before the implementation of the embodiment of the present invention, Figure 3 This is a simulation result of the fan blade root load My under the same working conditions, the same fan model and the same main control strategy after the implementation of the embodiment of the present invention. It can be seen from the figure that the load reduction effect of the present invention is obvious.

Claims

1. A control method for an energy management system based on wind turbine load, characterized in that: The following steps are involved: S1. Obtain the load data of each wind turbine in real time, including the bending moments in the X, Y, and Z axes of the blade root, impeller, nacelle, tower top, and tower base coordinate systems; S2. Calculate the limit load of each unit according to the fluctuation period of each load; S3. Calculate the weight of each unit's ultimate load in the ultimate load of all units in the field by category; S4. Calculate the reverse weight of each unit's ultimate load in the ultimate load of all units in the field by category; S5. Allocate the active power of each unit and perform power control according to the reverse weight of the classified calculated limit load of each unit in the limit load of all units in the field.

2. The energy management system control method based on wind turbine load according to claim 1 is characterized in that: The load classification method of step S2 for calculating the limit load of each unit according to the fluctuation period of each load is: The bending moment in any axis direction of any coordinate system in the blade root, impeller, nacelle, tower top or tower base coordinate system is a type of load.

3. The energy management system control method based on wind turbine load according to claim 2 is characterized in that: The specific method of calculating the limit load of each unit according to the fluctuation period of each load classification in step S2 is: The fluctuation period of any type of load of any unit is T, and the collection period of the load data is t. (T / t+1) is rounded to T. C , then the limit load of this type of load for this unit is T C The maximum value of the latest collected data.

4. The method for controlling an energy management system based on wind turbine load according to claim 1, characterized in that: The calculation method of classifying and calculating the weight of each unit's limit load in the class of limit loads of all units in the field is as follows: Any type of limit load is denoted as M i , the limit load of any unit is recorded as M ij , then the sum of this type of limit load is: In the formula, N is the sum of the number of controllable fans in the whole site; Then the weight of this type of limit load of this unit in the limit load of this type of units in the whole field is:

5. The method for controlling an energy management system based on wind turbine load according to claim 1, characterized in that: The calculation method of classifying and calculating the reverse weight of each unit's limit load in the same type of limit load of all units in step S4 is:

6. The method for controlling an energy management system based on wind turbine load according to claim 1, characterized in that: The method of allocating active power of each unit and performing power control according to the reverse weight of the classified calculated limit load of each unit in the limit load of all units in the field in step S5 includes: According to the reverse weight linear distribution of each unit in any type of limit load, the active power distribution of the jth unit according to its reverse weight linear distribution in type i limit load can be obtained as: P j =P t ·RR ij Where P t is the total active power of the whole venue.

7. The method for controlling an energy management system based on wind turbine load according to claim 1, characterized in that: The method of allocating active power of each unit and performing power control according to the reverse weight of the classified calculated limit load of each unit in the limit load of all units in the field in step S5 includes: According to the linear distribution of the reverse weights of each unit in any two or more extreme load categories, the active power distribution of the j-th unit can be obtained by proportionally distributing the reverse weights of the j-th unit in the n extreme load categories: Where R i is the weight of the i-th limit load in the n limit load categories, which is set by the developer according to the unit characteristics, and the n weights R i The sum is 1, that is:

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