A new energy electric field energy efficiency analysis method and system

Abstract

The present invention relates to the technical field of electric field energy efficiency analysis, and specifically discloses a new energy electric field energy efficiency analysis method and system. From the perspective of wind turbine energy flow, wind turbines are divided into equipment level, system level and unit level, and index values ​​of various indicators corresponding to the equipment level of the wind turbine are collected; and the index values ​​of various indicators corresponding to the wind turbine at the system level are analyzed to obtain the wind rotor loss coefficient, transmission loss coefficient and generator loss coefficient of the wind turbine at the system level; weight analysis is performed on the wind rotor loss coefficient, transmission loss coefficient and generator loss coefficient of the wind turbine at the system level to comprehensively obtain the energy efficiency utilization rate of the wind turbine at the unit level; through refined energy flow analysis, energy loss can be minimized, the power generation efficiency of the wind turbine can be improved, thereby reducing dependence on fossil energy, reducing carbon emissions, and promoting environmental protection, which not only helps to improve the operating efficiency and reliability of the wind turbine.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric field energy efficiency analysis, and relates to a new energy electric field energy efficiency analysis method and system. Background Art

[0002] In the context of global energy transformation, the need for energy efficiency analysis is particularly acute. As the proportion of renewable energy in the global energy mix continues to increase, improving the energy efficiency of wind turbines is not only a technological development requirement but also crucial to achieving energy transformation goals. Currently, efforts are underway to promote the development of renewable energy sources such as wind power. Optimizing wind turbine performance through energy efficiency analysis can better meet the growing demand for clean energy and achieve sustainable development goals.

[0003] Current technologies mainly conduct in-depth analysis and research on different devices or systems. There is little research on different energy efficiency losses and their relationships from the perspective of the entire machine. This cannot fully reflect the dynamic changes in actual operation, leading to deviations in the results; it may cause data distortion and affect the accuracy of energy efficiency analysis. Summary of the Invention

[0004] In view of the above problems existing in the prior art, the present invention provides a new energy electric field energy efficiency analysis method and system for solving the above technical problems.

[0005] In order to achieve the above-mentioned and other purposes, the technical solutions adopted by the present invention are as follows:

[0006] In one aspect, the present invention provides a method for analyzing energy efficiency of a new energy electric field, the method comprising the following steps:

[0007] From the perspective of wind turbine energy flow, wind turbines are divided into equipment level, system level and unit level, and the index values ​​of various indicators corresponding to the equipment level of wind turbines are collected;

[0008] Analyze the index values ​​of various indicators at the equipment level of the wind turbine generator set, and obtain the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine generator set;

[0009] A weighted analysis is performed on the rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine, and the energy efficiency utilization rate at the unit level of the wind turbine is comprehensively obtained.

[0010] For example, the various indicators corresponding to the equipment level of the wind turbine generator set specifically include wind energy indicators, transmission indicators, and generator indicators;

[0011] The index values ​​of wind energy indicators corresponding to the equipment level of wind turbines are specifically divided into blade power coefficient, blade tip loss coefficient and hub loss coefficient;

[0012] The transmission index values ​​of wind turbines corresponding to the equipment level are specifically divided into gear meshing loss, gear bearing loss and gear churning loss;

[0013] The index values ​​of the generator indicators at the equipment level of wind turbines are specifically divided into copper loss and iron loss.

[0014] For example, the wind turbine rotor loss coefficient corresponding to the system level is obtained by analysis. The specific analysis process is as follows:

[0015] Obtain the blade power coefficient of the wind turbine at the corresponding equipment level , where is the air density, A is the impeller swept area, is the wind energy utilization coefficient of the wind turbine, v is the wind speed, is the angle between the impeller plane of the in-service unit and the incoming wind direction;

[0016] Obtain the blade tip loss coefficient at the corresponding equipment level of the wind turbine , B is the total number of blades of the wind turbine, R is the radius of the impeller, and r is the radius of the blade;

[0017] Obtain the hub loss coefficient at the equipment level corresponding to the wind turbine , is the radius of the wheel hub;

[0018] Based on the blade power coefficient P1, blade tip loss coefficient P2 and hub loss coefficient P3 at the equipment level of the wind turbine, calculate the rotor loss coefficient at the system level of the wind turbine .

[0019] For example, the gear churning loss at the equipment level of a wind turbine generator system is obtained as follows:

[0020] Gear oil churning loss is specifically divided into three categories: the first category is the gear power loss caused by the lubricating oil attached to the gear surface, the second category is the gear power loss caused by the lubricating oil attached to the side of the gear, and the third category is the gear power loss caused by the vortex of the lubricating oil attached to the gear tooth surface;

[0021] Obtain the gear power loss caused by the lubricating oil attached to the gear surface at the corresponding equipment level of the wind turbine , V is the volume of lubricating oil attached to the gear surface, is the average radius of the gear, D is the radius of the gear pitch circle, They represent the gear immersion angle in lubricating oil and the gear rotation angular velocity respectively;

[0022] The gear power loss caused by the lubricating oil attached to the side of the gear needs to be calculated according to the flow state of the lubricating oil in the oil pool near the side of the gear:

[0023] (1) In laminar flow state, , where is the density of the lubricating oil, V1 is the volume of the lubricating oil attached to the side of the gear, and S is the area of ​​the gear immersed in the lubricating oil;

[0024] (2) In turbulent state, ;

[0025] In summary, the gear power loss Q2 caused by the lubricating oil attached to the gear side at the corresponding equipment level of the wind turbine is obtained, where Q2 is or ;

[0026] Obtain the gear power loss caused by vortex in the lubricating oil attached to the gear tooth surfaces at the corresponding equipment level of the wind turbine , V2 is the volume of lubricating oil attached to the tooth surfaces, are the tooth tip circle radius and tooth root circle radius respectively;

[0027] From this comprehensive analysis, we can get the gear oil stirring loss Q=Q1+Q2+Q3 at the corresponding equipment level of the wind turbine.

[0028] For example, the transmission loss coefficient of the wind turbine corresponding to the system level is obtained by analysis. The specific analysis process is as follows:

[0029] Calculate the total friction torque of the bearings at the corresponding equipment level of the wind turbine , C1 is the friction torque caused by bearing elastic hysteresis and local differential rolling; C2 is the friction torque caused by lubricating oil flow;

[0030] The specific calculation formula of C1 is: , F is the radial load of the bearing, d is the diameter of the circle where the center of the rolling element is located, is the drag coefficient;

[0031] The specific calculation formula of C2 is: , is the drag coefficient, is the kinematic viscosity of the lubricating oil, in units of , is the bearing speed in units of ;

[0032] In summary, calculate the gear bearing loss at the equipment level of the wind turbine , is the angular velocity in radians per second;

[0033] Calculate the gear meshing loss at the equipment level of the wind turbine , f is the friction coefficient, is the input power of the gear pair, is the normal load;

[0034] Normal load The calculation formula is as follows:

[0035] ;

[0036] ;

[0037] a is the pressure angle on the gear pitch circle, is the gear meshing overlap, g3 is the gear base pitch, g1 is the length of the meshing line before the node, g2 is the length of the meshing line after the node, Z1 is the number of teeth on the driving gear, and Z2 is the number of teeth on the driven gear. Respectively represent the pitch diameter of the driving gear and the pitch diameter of the driven gear;

[0038] Input power of gear pair The calculation formula is as follows:

[0039] , n1 is the driving gear speed, M is the driving gear input torque;

[0040] Calculate the transmission loss coefficient K=Q+E+G of the wind turbine at the system level.

[0041] For example, the generator loss coefficient of the wind turbine corresponding to the system level is analyzed and obtained. The specific analysis formula is as follows:

[0042] Obtain the copper loss at the equipment level corresponding to the wind turbine and iron loss , I is the current, R is the resistance of the winding, are the hysteresis loss coefficient and eddy current loss coefficient, respectively. is the frequency, CT is the maximum magnetic flux density;

[0043] The copper loss and iron loss at the equipment level of the wind turbine are summed to obtain the total loss at the equipment level of the wind turbine. ;

[0044] Then the generator loss coefficient of the wind turbine corresponding to the system level is analyzed and obtained , is the input power of the wind turbine.

[0045] For example, a weighted analysis is performed on the rotor loss coefficient, transmission loss coefficient, and generator loss coefficient at the system level corresponding to the wind turbine. The specific analysis process is as follows:

[0046] Multiply the rotor loss coefficient P, transmission loss coefficient K and generator loss coefficient Y of the wind turbine at the system level to obtain the total loss coefficient U of the wind turbine at the system level.

[0047] Calculate the partial derivative of the total loss coefficient of the wind turbine rotor loss coefficient at the system level Similarly, calculate the partial derivatives of the transmission loss coefficient of the wind turbine corresponding to the system level and the generator loss coefficient corresponding to the total loss coefficient ;

[0048] The weight of the wind turbine rotor loss coefficient corresponding to the system level is calculated from this ;

[0049] The weight of the transmission loss coefficient of the wind turbine corresponding to the system level is calculated from this ;

[0050] The weight of the generator loss coefficient of the wind turbine corresponding to the system level is calculated from this .

[0051] For example, the energy efficiency utilization rate of the wind turbine corresponding to the unit level is comprehensively obtained. The specific analysis process is as follows:

[0052] Calculate the energy efficiency utilization rate of wind turbines at the unit level .

[0053] Another aspect of the present invention provides a new energy electric field energy efficiency analysis system, comprising a data acquisition module, a data analysis module and an energy efficiency analysis module, wherein the above modules are connected by wired and / or wireless connections to achieve data transmission between the modules;

[0054] The data acquisition module divides the wind turbine into the equipment level, system level and unit level from the perspective of wind turbine energy flow, and collects the index values ​​of various indicators of the wind turbine corresponding to the equipment level;

[0055] The data analysis module analyzes the index values ​​of various indicators at the equipment level of the wind turbine, and obtains the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine;

[0056] The energy efficiency analysis module performs weighted analysis on the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level, and comprehensively obtains the energy efficiency utilization rate of the wind turbine at the unit level.

[0057] As described above, the present invention provides a new energy electric field energy efficiency analysis method and system, which has at least the following beneficial effects:

[0058] (1) The present invention provides a new energy electric field energy efficiency analysis method and system. From the perspective of wind turbine energy flow, the wind turbine is divided into the equipment level, the system level and the unit level. The index values ​​of various indicators corresponding to the equipment level of the wind turbine are collected; and the index values ​​of various indicators corresponding to the wind turbine are analyzed to obtain the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient corresponding to the system level of the wind turbine; the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient corresponding to the system level of the wind turbine are weighted and analyzed to obtain the energy efficiency utilization rate of the wind turbine corresponding to the unit level. On the one hand, this hierarchical analysis method can provide more detailed and accurate energy loss information. At the equipment level, collecting various index values ​​can help understand the specific performance and working status of each component, help identify the operating efficiency and potential problems of each device, and thus provide a basis for subsequent maintenance and optimization; on the other hand, at the system level, by analyzing the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient, the energy loss of the entire wind turbine can be fully understood. The rotor loss coefficient reflects the efficiency of converting wind energy into mechanical energy, the transmission loss coefficient indicates the losses during mechanical energy transmission, and the generator loss coefficient shows the efficiency of converting mechanical energy into electrical energy. Furthermore, a weighted analysis of the rotor, transmission, and generator loss coefficients at the system level can be used to comprehensively assess the overall energy efficiency of a wind turbine. Different loss coefficients contribute different amounts to overall energy efficiency, and this weighted analysis can determine the extent to which each component contributes to the overall energy efficiency.

[0059] (2) The embodiments of the present invention can provide comprehensive and detailed energy flow analysis, thereby providing reliable data support for the optimization and improvement of wind turbines. By identifying and quantifying energy losses at all levels, targeted measures can be taken, such as optimizing wind rotor design, improving transmission systems, and increasing generator efficiency, thereby significantly improving the overall energy efficiency of wind turbines.

[0060] (3) As an important renewable energy source, the efficiency of wind energy utilization is directly related to the sustainable development of energy. Through refined energy flow analysis, energy loss can be minimized and the power generation efficiency of wind turbines can be improved, thereby reducing dependence on fossil energy, reducing carbon emissions, and promoting environmental protection. This not only helps to improve the operating efficiency and reliability of wind turbines, but also plays an important role in promoting the efficient use of renewable energy and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0062] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention.

[0063] Figure 2 Schematic diagram of the connection of various modules of the system of the present invention. DETAILED DESCRIPTION

[0064] The above contents described below in conjunction with the implementation of the present invention are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall fall within the scope of protection of the present invention. Example

[0065] See also Figure 1 As shown, a new energy electric field energy efficiency analysis method includes the following steps:

[0066] From the perspective of wind turbine energy flow, wind turbines are divided into equipment level, system level and unit level, and the index values ​​of various indicators corresponding to the equipment level of wind turbines are collected;

[0067] Based on the above embodiment, the various indicators corresponding to the equipment level of the wind turbine generator set specifically include wind energy indicators, transmission indicators and generator indicators;

[0068] The index values ​​of wind energy indicators corresponding to the equipment level of wind turbines are specifically divided into blade power coefficient, blade tip loss coefficient and hub loss coefficient;

[0069] The transmission index values ​​of wind turbines corresponding to the equipment level are specifically divided into gear meshing loss, gear bearing loss and gear churning loss;

[0070] The index values ​​of the generator indicators at the equipment level of wind turbines are specifically divided into copper loss and iron loss.

[0071] Analyze the index values ​​of various indicators at the equipment level of the wind turbine generator set, and obtain the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine generator set;

[0072] Based on the above embodiment, the wind turbine rotor loss coefficient corresponding to the system level is analyzed and obtained. The specific analysis process is as follows:

[0073] Obtain the blade power coefficient of the wind turbine at the corresponding equipment level , where is the air density, A is the impeller swept area, is the wind energy utilization coefficient of the wind turbine, v is the wind speed, is the angle between the impeller plane of the in-service unit and the incoming wind direction;

[0074] When the wind turbine is operating normally, the wind direction is measured by the wind vane above the nacelle and the result is transmitted to the control system, which then adjusts the azimuth of the turbine blades to face the airflow direction so that the turbine can capture the maximum wind energy. According to Betz theory, the wind power P absorbed by the wind turbine is When the wind vane cannot accurately face the wind, the unit control system cannot receive the correct wind direction information, and the impeller cannot effectively track the positive direction of the incoming flow. Since the wind speed in Betz theory is the wind speed perpendicular to the impeller plane, when the angle between the impeller plane of the in-service unit and the incoming wind direction is When the incoming wind speed is orthogonally decomposed along the direction perpendicular to the impeller plane and the direction parallel to the impeller plane, the incoming flow component perpendicular to the wind wheel plane satisfies the relationship , at this time the wind power absorbed by the wind turbine is ;

[0075] As wind turbines grow larger, their blades are also growing longer. Currently, the impeller radius of turbines larger than 10MW is generally over 100m. Because the blade tip is so far from the impeller's rotational centerline, the slight energy loss at the blade tip is equivalent to a significant torque loss at the rotational center, making this energy loss non-negligible.

[0076] Obtain the blade tip loss coefficient at the corresponding equipment level of the wind turbine , B is the total number of blades of the wind turbine, R is the radius of the impeller, and r is the radius of the blade;

[0077] The hub diameter of a wind turbine is usually large. In the early days, the hub diameter of a 1.5MW turbine was usually over 3m. With the development of larger turbines, the hub diameter of a 12MW turbine has now reached about 6m. The inner area of ​​the rotor is large, and in addition to being unable to utilize wind energy, this part also has an adverse effect on the airflow near the blade root. Therefore, when considering the factors affecting the energy efficiency of the impeller system, the loss of the hub part should also be taken into account.

[0078] Obtain the hub loss coefficient at the equipment level corresponding to the wind turbine , is the radius of the wheel hub;

[0079] Based on the blade power coefficient P1, blade tip loss coefficient P2 and hub loss coefficient P3 at the equipment level of the wind turbine, calculate the rotor loss coefficient at the system level of the wind turbine .

[0080] Based on the above embodiment, the gear oil churning loss at the equipment level of the wind turbine generator system is obtained in the following specific process:

[0081] Because wind turbine gearboxes use oil lubrication for all gears, the gears in direct contact with the lubricant will continuously agitate the oil while the unit is operating. Lubricants are abrasive liquids, and this agitation inevitably absorbs kinetic energy from moving parts, causing power loss. This power loss is influenced by numerous factors, including gear speed, gear geometry, lubricant properties, temperature, and coupling interference from surrounding moving parts.

[0082] Gear oil churning loss is specifically divided into three categories: the first category is the gear power loss caused by the lubricating oil attached to the gear surface, the second category is the gear power loss caused by the lubricating oil attached to the side of the gear, and the third category is the gear power loss caused by the vortex of the lubricating oil attached to the gear tooth surface;

[0083] Obtain the gear power loss caused by the lubricating oil attached to the gear surface at the corresponding equipment level of the wind turbine , V is the volume of lubricating oil attached to the gear surface, is the average radius of the gear, D is the radius of the gear pitch circle, They represent the gear immersion angle in lubricating oil and the gear rotation angular velocity respectively;

[0084] The gear power loss caused by the lubricating oil attached to the side of the gear needs to be calculated according to the flow state of the lubricating oil in the oil pool near the side of the gear:

[0085] (1) In laminar flow state, , where is the density of the lubricating oil, V1 is the volume of the lubricating oil attached to the side of the gear, and S is the area of ​​the gear immersed in the lubricating oil;

[0086] (2) In turbulent state, ;

[0087] In summary, the gear power loss Q2 caused by the lubricating oil attached to the gear side at the corresponding equipment level of the wind turbine is obtained, where Q2 is or ;

[0088] Obtain the gear power loss caused by vortex in the lubricating oil attached to the gear tooth surfaces at the corresponding equipment level of the wind turbine , V2 is the volume of lubricating oil attached to the tooth surfaces, are the tooth tip circle radius and tooth root circle radius respectively;

[0089] From this comprehensive analysis, we can get the gear oil stirring loss Q=Q1+Q2+Q3 at the corresponding equipment level of the wind turbine.

[0090] Based on the above embodiment, the transmission loss coefficient of the wind turbine corresponding to the system level is analyzed and obtained. The specific analysis process is as follows:

[0091] In wind turbine drive systems, bearings support the drive shaft, and the inner ring of the bearing rotates with the drive shaft, making them a crucial transmission component. Deterioration of the bearings directly increases transmission power loss, causing a decrease in the unit's energy efficiency. Drive system bearings primarily include main shaft bearings, gearbox shaft bearings at all levels, and generator front and rear bearings. Because the rotating components of a wind turbine drive system generally rotate at low speeds, rolling bearings are used.

[0092] The outer ring of a rolling bearing is fixed, while the rolling elements rotate at high speed driven by the inner ring. Due to the presence of grease and lubricating oil, as well as the roughness of the raceways and rolling elements, the friction of moving parts such as the rolling elements and the resistance generated by lubricants such as grease and lubricating oil are the main factors causing power loss in the bearing. The most important performance-influencing parameter of a rolling bearing is the resistance torque, which directly represents the torque required when the drive shaft drives the inner ring of the bearing to rotate together.

[0093] Calculate the total friction torque of the bearings at the corresponding equipment level of the wind turbine , C1 is the friction torque caused by bearing elastic hysteresis and local differential rolling; C2 is the friction torque caused by lubricating oil flow;

[0094] The specific calculation formula of C1 is: , F is the radial load of the bearing, d is the diameter of the circle where the center of the rolling element is located, is the drag coefficient;

[0095] The specific calculation formula of C2 is: , is the drag coefficient, is the kinematic viscosity of the lubricating oil, in units of , is the bearing speed in units of ;

[0096] In summary, calculate the gear bearing loss at the equipment level of the wind turbine , is the angular velocity in radians per second;

[0097] Calculate the gear meshing loss at the equipment level of the wind turbine , f is the friction coefficient, is the input power of the gear pair, is the normal load;

[0098] Normal load The calculation formula is as follows:

[0099] ;

[0100] ;

[0101] a is the pressure angle on the gear pitch circle, is the gear meshing overlap, g3 is the gear base pitch, g1 is the length of the meshing line before the node, g2 is the length of the meshing line after the node, Z1 is the number of teeth on the driving gear, and Z2 is the number of teeth on the driven gear. Respectively represent the pitch diameter of the driving gear and the pitch diameter of the driven gear;

[0102] Input power of gear pair The calculation formula is as follows:

[0103] , n1 is the driving gear speed, M is the driving gear input torque;

[0104] Calculate the transmission loss coefficient K=Q+E+G of the wind turbine at the system level.

[0105] Based on the above embodiment, the generator loss coefficient of the wind turbine generator corresponding to the system level is analyzed and obtained. The specific analysis formula is as follows:

[0106] Obtain the copper loss at the equipment level corresponding to the wind turbine and iron loss , I is the current, R is the resistance of the winding, are the hysteresis loss coefficient and eddy current loss coefficient, respectively. is the frequency, CT is the maximum magnetic flux density;

[0107] The copper loss and iron loss at the equipment level of the wind turbine are summed to obtain the total loss at the equipment level of the wind turbine. ;

[0108] Then the generator loss coefficient of the wind turbine corresponding to the system level is analyzed and obtained , is the input power of the wind turbine.

[0109] A weighted analysis is performed on the rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine, and the energy efficiency utilization rate at the unit level of the wind turbine is comprehensively obtained.

[0110] Based on the above embodiment, a weighted analysis is performed on the rotor loss coefficient, transmission loss coefficient, and generator loss coefficient at the system level of the wind turbine generator set. The specific analysis process is as follows:

[0111] Multiply the rotor loss coefficient P, transmission loss coefficient K and generator loss coefficient Y of the wind turbine at the system level to obtain the total loss coefficient U of the wind turbine at the system level.

[0112] Calculate the partial derivative of the total loss coefficient of the wind turbine rotor loss coefficient at the system level Similarly, calculate the partial derivatives of the transmission loss coefficient of the wind turbine corresponding to the system level and the generator loss coefficient corresponding to the total loss coefficient ;

[0113] The weight of the wind turbine rotor loss coefficient corresponding to the system level is calculated from this ;

[0114] The weight of the transmission loss coefficient of the wind turbine corresponding to the system level is calculated from this ;

[0115] The weight of the generator loss coefficient of the wind turbine corresponding to the system level is calculated from this .

[0116] Based on the above embodiment, the energy efficiency utilization rate of the wind turbine generator set corresponding to the unit level is comprehensively obtained. The specific analysis process is as follows:

[0117] Calculate the energy efficiency utilization rate of wind turbines at the unit level . Example

[0118] See also Figure 2 As shown, a new energy electric field energy efficiency analysis system includes a data acquisition module, a data analysis module and an energy efficiency analysis module. The above modules are connected by wired and / or wireless connections to achieve data transmission between the modules;

[0119] The data acquisition module divides the wind turbine into the equipment level, system level and unit level from the perspective of wind turbine energy flow, and collects the index values ​​of various indicators of the wind turbine corresponding to the equipment level;

[0120] The data analysis module analyzes the index values ​​of various indicators at the equipment level of the wind turbine, and obtains the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine;

[0121] The energy efficiency analysis module performs weighted analysis on the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level, and comprehensively obtains the energy efficiency utilization rate of the wind turbine at the unit level.

[0122] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0123] It should be understood that determining B based on A does not mean determining B based solely on A. B can also be determined based on A and / or other information.

[0124] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0125] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A new energy electric field energy efficiency analysis method, characterized in that: include: From the perspective of wind turbine energy flow, wind turbines are divided into equipment level, system level and unit level, and the index values ​​of various indicators corresponding to the equipment level of wind turbines are collected; The indicators corresponding to the equipment level of wind turbines include wind energy indicators, transmission indicators and generator indicators; The index values ​​of wind energy indicators corresponding to the equipment level of wind turbines are specifically divided into blade power coefficient, blade tip loss coefficient and hub loss coefficient; The transmission index values ​​of wind turbines corresponding to the equipment level are specifically divided into gear meshing loss, gear bearing loss and gear churning loss; The index values ​​of the generator indicators corresponding to the equipment level of the wind turbine are specifically divided into copper loss and iron loss; The gear oil churning loss at the equipment level of the wind turbine is obtained as follows: Gear oil churning loss is specifically divided into three categories: the first category is the gear power loss caused by the lubricating oil attached to the gear surface, the second category is the gear power loss caused by the lubricating oil attached to the side of the gear, and the third category is the gear power loss caused by the vortex of the lubricating oil attached to the gear tooth surface; Obtain the gear power loss caused by the lubricating oil attached to the gear surface at the corresponding equipment level of the wind turbine , V is the volume of lubricating oil attached to the gear surface, is the average radius of the gear, D is the radius of the gear pitch circle, They represent the gear immersion angle in lubricating oil and the gear rotation angular velocity respectively; The gear power loss caused by the lubricating oil attached to the side of the gear needs to be calculated according to the flow state of the lubricating oil in the oil pool near the side of the gear: (1) In laminar flow state, , where is the density of the lubricating oil, V1 is the volume of the lubricating oil attached to the side of the gear, and S is the area of ​​the gear immersed in the lubricating oil; (2) In turbulent state, ; In summary, the gear power loss Q2 caused by the lubricating oil attached to the gear side at the corresponding equipment level of the wind turbine is obtained, where Q2 is or ; Obtain the gear power loss caused by vortex in the lubricating oil attached to the gear tooth surfaces at the corresponding equipment level of the wind turbine , V2 is the volume of lubricating oil attached to the tooth surfaces, are the tooth tip circle radius and tooth root circle radius respectively; From this comprehensive analysis, we can get the gear oil churning loss Q=Q1+Q2+Q3 at the corresponding equipment level of the wind turbine; Analyze the index values ​​of various indicators at the equipment level of the wind turbine generator set, and obtain the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine generator set; A weighted analysis is performed on the rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine, and the energy efficiency utilization rate at the unit level of the wind turbine is comprehensively obtained.

2. A new energy electric field energy efficiency analysis method according to claim 1, characterized in that: The wind turbine rotor loss coefficient corresponding to the system level is obtained through analysis. The specific analysis process is as follows: Obtain the blade power coefficient of the wind turbine at the corresponding equipment level , where is the air density, A is the impeller swept area, is the wind energy utilization coefficient of the wind turbine, v is the wind speed, is the angle between the impeller plane of the in-service unit and the incoming wind direction; Obtain the blade tip loss coefficient at the corresponding equipment level of the wind turbine , B is the total number of blades of the wind turbine, R is the radius of the impeller, and r is the radius of the blade; Obtain the hub loss coefficient at the equipment level corresponding to the wind turbine , is the radius of the wheel hub; Based on the blade power coefficient P1, blade tip loss coefficient P2 and hub loss coefficient P3 at the equipment level of the wind turbine, calculate the rotor loss coefficient at the system level of the wind turbine .

3. The method for analyzing energy efficiency of a new energy electric field according to claim 1, characterized in that: The transmission loss coefficient of the wind turbine corresponding to the system level is obtained through analysis. The specific analysis process is as follows: Calculate the total friction torque of the bearings at the corresponding equipment level of the wind turbine , C1 is the friction torque caused by bearing elastic hysteresis and local differential rolling; C2 is the friction torque caused by lubricating oil flow; The specific calculation formula of C1 is: , F is the radial load of the bearing, d is the diameter of the circle where the center of the rolling element is located, is the drag coefficient; The specific calculation formula of C2 is: , is the drag coefficient, is the kinematic viscosity of the lubricating oil, in units of , is the bearing speed in units of ; In summary, calculate the gear bearing loss at the equipment level of the wind turbine , is the angular velocity in radians per second; Calculate the gear meshing loss at the equipment level of the wind turbine , f is the friction coefficient, is the input power of the gear pair, is the normal load; Normal load The calculation formula is as follows: ； ； a is the pressure angle on the gear pitch circle, is the gear meshing overlap, g3 is the gear base pitch, g1 is the length of the meshing line before the node, g2 is the length of the meshing line after the node, Z1 is the number of teeth on the driving gear, and Z2 is the number of teeth on the driven gear. Respectively represent the pitch diameter of the driving gear and the pitch diameter of the driven gear; Input power of gear pair The calculation formula is as follows: , n1 is the driving gear speed, M is the driving gear input torque; Calculate the transmission loss coefficient K=Q+E+G of the wind turbine at the system level.

4. The method for analyzing energy efficiency of a new energy electric field according to claim 1, characterized in that: The generator loss coefficient of the wind turbine corresponding to the system level is obtained through analysis. The specific analysis formula is as follows: Obtain the copper loss at the equipment level corresponding to the wind turbine and iron loss , I is the current, R is the resistance of the winding, are the hysteresis loss coefficient and eddy current loss coefficient, respectively. is the frequency, CT is the maximum magnetic flux density; The copper loss and iron loss at the equipment level of the wind turbine are summed to obtain the total loss at the equipment level of the wind turbine. ; Then the generator loss coefficient of the wind turbine corresponding to the system level is analyzed and obtained , is the input power of the wind turbine.

5. The method for analyzing energy efficiency of a new energy electric field according to claim 1, characterized in that: The weighted analysis of the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level is carried out. The specific analysis process is as follows: Multiply the rotor loss coefficient P, transmission loss coefficient K and generator loss coefficient Y of the wind turbine at the system level to obtain the total loss coefficient U of the wind turbine at the system level. Calculate the partial derivative of the total loss coefficient of the wind turbine rotor loss coefficient at the system level Similarly, calculate the partial derivatives of the transmission loss coefficient of the wind turbine corresponding to the system level and the generator loss coefficient corresponding to the total loss coefficient ; The weight of the wind turbine rotor loss coefficient corresponding to the system level is calculated from this ; The weight of the transmission loss coefficient of the wind turbine corresponding to the system level is calculated from this ; The weight of the generator loss coefficient of the wind turbine corresponding to the system level is calculated from this .

6. A new energy electric field energy efficiency analysis method according to claim 5, characterized in that: The energy efficiency utilization rate of the wind turbine corresponding to the unit level is obtained comprehensively. The specific analysis process is as follows: Calculate the energy efficiency utilization rate of wind turbines at the unit level .

7. A new energy electric field energy efficiency analysis system, characterized in that: It is implemented based on a new energy electric field energy efficiency analysis method according to any one of claims 1 to 6, comprising a data acquisition module, a data analysis module and an energy efficiency analysis module, wherein the above modules are connected by wired and / or wireless connections to realize data transmission between the modules; The data acquisition module divides the wind turbine into the equipment level, system level and unit level from the perspective of wind turbine energy flow, and collects the index values ​​of various indicators of the wind turbine corresponding to the equipment level; The data analysis module analyzes the index values ​​of various indicators at the equipment level of the wind turbine, and obtains the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level of the wind turbine; The energy efficiency analysis module performs weighted analysis on the wind turbine rotor loss coefficient, transmission loss coefficient and generator loss coefficient at the system level, and comprehensively obtains the energy efficiency utilization rate of the wind turbine at the unit level.

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