Wind turbine generator blade clearance control method and system

Abstract

The invention relates to the technical field of wind turbine generators, in particular to a wind turbine generator blade clearance control method and system. Comprising the following steps: constructing a plurality of adjustment periods, and generating a wind speed prediction curve in the current adjustment period according to a preset wind speed prediction model; setting a pitch angle control strategy and a clearance value threshold curve in the current adjusting period according to the wind speed prediction curve; establishing a plurality of monitoring points according to the wind turbine generator equipment parameters, and obtaining real-time monitoring data collected by each monitoring point; and whether a compensation instruction is generated or not is judged according to the real-time monitoring data, and the pitch angle control strategy in the current adjusting period is corrected according to the compensation instruction. The method comprises the following steps: establishing an adjusting period, monitoring the real-time clearance state of a fan blade, dynamically adjusting a clearance value threshold according to parameters such as wind speed change and the like, performing early warning on the problem of insufficient clearance of the blade of the wind turbine generator in time, and improving the clearance of a tower through an active compensation mechanism, so as to ensure the safe operation of the wind turbine generator.

Description

Technical Field

[0001] The present application relates to the technical field of wind turbines, and in particular to a method and system for controlling blade clearance of a wind turbine. Background Art

[0002] As the global demand for clean energy continues to grow, the number of wind turbines installed has increased year by year, and as an important renewable energy technology, it has developed rapidly. Wind turbines are designed to be higher and higher, and the blades are getting longer and longer. As the core equipment of wind power generation, their safe and stable operation is crucial. The tower clearance of wind turbines is a key parameter. It is not only related to the structural safety of the unit itself, but also has an important impact on the operating efficiency and economic benefits of the entire wind farm.

[0003] At present, wind resource development is gradually shifting to low wind speed, high turbulence wind resource areas. Most of these wind farms are located in mountainous areas with complex terrain and many extreme gusty wind conditions. Gusts are characterized by large changes in wind speed and direction in a short period of time, which can easily lead to the superposition of extreme turbulence and extreme wind shear. At this time, wind turbines are faced with insufficient clearance, and many tower sweeping accidents have occurred in the industry. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a wind turbine blade clearance control method and system, aiming to improve the clearance control efficiency of wind turbine blades and ensure the safe operation of wind turbines.

[0005] In some embodiments of the present application, by establishing an adjustment cycle, the real-time clearance status of the wind turbine blades is monitored, and the clearance value threshold is dynamically adjusted according to parameters such as wind speed changes, timely warnings are given for insufficient clearance of wind turbine blades, and through an active compensation mechanism, the tower clearance is improved, thereby improving the control efficiency of the wind turbine clearance and ensuring the safe operation of the wind turbine.

[0006] In some embodiments of the present application, multiple time intervals are constructed within a single adjustment cycle to periodically monitor the original pitch angle control strategy, and dynamically optimize it according to the real-time deviation evaluation value, thereby improving the clearance control efficiency of the wind turbine and reducing the probability of blade sweep accidents.

[0007] In some embodiments of the present application, a method for controlling blade clearance of a wind turbine is provided, comprising:

[0008] Construct multiple adjustment cycles, and generate a wind speed prediction curve within the current adjustment cycle according to a preset wind speed prediction model;

[0009] According to the wind speed prediction curve, the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle are set;

[0010] Establish multiple monitoring points according to the wind turbine equipment parameters, and obtain real-time monitoring data collected at each monitoring point;

[0011] Whether to generate a compensation instruction is determined based on the real-time monitoring data, and the pitch angle control strategy in the current adjustment cycle is corrected based on the compensation instruction.

[0012] In some embodiments of the present application, the construction of multiple adjustment cycles includes:

[0013] Obtain historical environmental data and wind turbine equipment parameters, and generate historical evaluation value a;

[0014]

[0015] Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters;

[0016] The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

[0017] In some embodiments of the present application, when setting the duration t of the adjustment cycle, it includes:

[0018] Presetting a first historical evaluation value interval (A1, A2), a second historical evaluation value interval (A2, A3) and a third historical evaluation value interval (A3, A4);

[0019] If a is in the preset first historical evaluation interval, the time length t is set to the preset first time length T1, that is, t=T1;

[0020] If a is in the preset second historical evaluation interval, the time length t is set to the preset second time length T2, that is, t=T2;

[0021] If a is in the preset third historical evaluation interval, the time length t is set to the preset first time length T3, that is, t=T3; and T1<T2<T3.

[0022] In some embodiments of the present application, the setting of the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle includes:

[0023] According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle;

[0024] Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle;

[0025] Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values;

[0026] Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval;

[0027] Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C;

[0028] The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

[0029] In some embodiments of the present application, when determining whether to generate a compensation instruction according to real-time monitoring data, the method includes:

[0030] Preset multiple feedback time nodes within the current adjustment cycle;

[0031] Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node;

[0032] Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r;

[0033] Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node;

[0034] If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

[0035] In some embodiments of the present application, when generating the deviation evaluation value f of the current feedback time node, it includes:

[0036]

[0037] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; n1 is the number of time intervals between the start time node of the current adjustment cycle and the current feedback time node; di is the actual wind speed change value in the i-th time interval of the current adjustment cycle; d' i is the expected wind speed change value in the i-th time interval of the current adjustment cycle; d n1is the actual wind speed change value at the current feedback time node; d' n1 is the expected wind speed change value in the time interval corresponding to the current feedback time node; Y is the selection function, if (d n1 -d' n1) ≤0, then Y=0; if (d n1 -d' n1) >0, then Y=1.

[0038] In some embodiments of the present application, when determining whether to generate a correction instruction according to the deviation evaluation value f, the method includes:

[0039] A first deviation evaluation value threshold F1 and a second deviation evaluation value threshold F2 are preset, and F1<F2;

[0040] If f<F1, no correction instruction is generated in the current feedback time node, and r=1 is set;

[0041] If F1≤f<F2, the current feedback time node generates a first-level correction instruction and sets the correction coefficient r according to the deviation evaluation value f;

[0042] If f>F2, the current feedback time node generates a secondary correction instruction, and updates the wind speed prediction curve within the current adjustment cycle according to the secondary correction instruction, and sets the correction coefficient r according to the update result.

[0043] In some embodiments of the present application, a wind turbine blade clearance control system is provided, comprising:

[0044] The central control unit is used to build multiple adjustment cycles and establish multiple monitoring points according to the wind turbine equipment parameters;

[0045] A monitoring unit, used to collect real-time monitoring data from each monitoring point;

[0046] The central control unit comprises:

[0047] A first processing module, used to generate a wind speed prediction curve within a current adjustment period according to a preset wind speed prediction model;

[0048] The second processing module is used to set the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle according to the wind speed prediction curve;

[0049] A compensation module is used to determine whether to generate a compensation instruction based on real-time monitoring data, and to correct the pitch angle control strategy in the current adjustment cycle based on the compensation instruction;

[0050] The third processing module is used to obtain historical environmental data and wind turbine equipment parameters and generate a historical evaluation value a;

[0051]

[0052] Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters;

[0053] The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

[0054] In some embodiments of the present application, the second processing module is further used for:

[0055] According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle;

[0056] Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle;

[0057] Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values;

[0058] Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval;

[0059] Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C;

[0060] The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

[0061] In some embodiments of the present application, the compensation module is further used for:

[0062] Preset multiple feedback time nodes within the current adjustment cycle;

[0063] Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node;

[0064] Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r;

[0065] Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node;

[0066] If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

[0067] Compared with the prior art, the wind turbine blade clearance control method and system of the present application embodiment has the following beneficial effects:

[0068] By establishing an adjustment cycle, the real-time clearance status of wind turbine blades is monitored, and the clearance value threshold is dynamically adjusted according to parameters such as wind speed changes. Timely warnings are issued for insufficient clearance of wind turbine blades, and through an active compensation mechanism, the tower clearance is increased, thereby improving the control efficiency of wind turbine clearance and ensuring the safe operation of wind turbines.

[0069] Multiple time intervals are constructed within a single adjustment cycle to periodically monitor the original pitch angle control strategy and dynamically optimize it according to the real-time deviation evaluation value, thereby improving the clearance control efficiency of the wind turbine and reducing the probability of blade sweep accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 It is a flow chart of a method for controlling the blade clearance of a wind turbine in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0071] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0072] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0073] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0074] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0075] like Figure 1 As shown, a wind turbine blade clearance control method according to a preferred embodiment of the present application includes:

[0076] S101: construct multiple adjustment cycles, and generate a wind speed prediction curve in the current adjustment cycle according to a preset wind speed prediction model;

[0077] S102: setting a pitch angle control strategy and a clearance value threshold curve in a current adjustment period according to a wind speed prediction curve;

[0078] S103: establishing multiple monitoring points according to the equipment parameters of the wind turbine generator set, and obtaining real-time monitoring data collected by each monitoring point;

[0079] S104: Determine whether to generate a compensation instruction according to the real-time monitoring data, and correct the pitch angle control strategy in the current adjustment cycle according to the compensation instruction.

[0080] Specifically, laser clearance monitoring equipment is installed at some monitoring points. When the blade rotates to the monitoring point, the laser beam can quickly collect the distance from the blade tip measurement point to the laser clearance monitoring equipment, and after coordinate transformation, the tower clearance value is calculated. Laser wind measurement radars are installed at some monitoring points to measure the wind shear and wind speed change rate in the incoming flow direction in real time.

[0081] Specifically, a wind speed prediction model is constructed based on historical monitoring parameters, and the real-time clearance threshold is dynamically adjusted according to the predicted wind speed to improve the early warning efficiency of potential blade sweep risks and ensure the safe operation of wind turbines.

[0082] Specifically, when building multiple adjustment cycles, include:

[0083] Obtain historical environmental data and wind turbine equipment parameters, and generate historical evaluation value a;

[0084]

[0085] Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters;

[0086] The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

[0087] Specifically, by setting the first fixed coefficient and the second fixed coefficient, all parameters in the model are normalized so that each parameter is within the same value range.

[0088] Specifically, environmental evaluation indicators include but are not limited to historical average wind speed, wind speed change frequency, temperature, wind direction change frequency and other parameters that may affect the clearance value. Equipment evaluation indicators include but are not limited to blade parameters, historical operating time of wind turbines, blade tower sweep failure frequency and other parameters. The larger the historical evaluation value, the lower the possibility of operating fluctuations and tower sweep risks for the current wind turbine.

[0089] Specifically, when setting the duration t of the adjustment cycle, it includes:

[0090] Presetting a first historical evaluation value interval (A1, A2), a second historical evaluation value interval (A2, A3) and a third historical evaluation value interval (A3, A4);

[0091] If a is in the preset first historical evaluation interval, the time length t is set to the preset first time length T1, that is, t=T1;

[0092] If a is in the preset second historical evaluation interval, the time length t is set to the preset second time length T2, that is, t=T2;

[0093] If a is in the preset third historical evaluation interval, the time length t is set to the preset first time length T3, that is, t=T3; and T1<T2<T3.

[0094] It can be understood that in the above embodiment, by dynamically adjusting the duration of a single adjustment cycle, the accuracy of the control strategy within a single adjustment cycle is improved, the adjustment efficiency of the clearance compensation is improved, and a large deviation between the expected data and the actual data due to a single adjustment cycle being too long is avoided, thereby affecting the clearance control efficiency.

[0095] In a preferred embodiment of the present application, when setting the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle, it includes:

[0096] According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle;

[0097] Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle;

[0098] Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values;

[0099] Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval;

[0100] Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C;

[0101] The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

[0102] Specifically, the clearance value threshold refers to the minimum safe clearance value allowed for the wind turbine blades within the current time interval. When the actual clearance value is less than the clearance value threshold, a tower sweep failure is very likely to occur.

[0103] Specifically, the wind speed prediction curve is processed, and the number of time intervals is set according to the average wind speed change rate. The greater the average wind speed change rate, the greater the number of time intervals.

[0104] Specifically, the expected wind rate change value in each time interval is generated according to the wind speed prediction curve, and the safe clearance value in each time interval is generated by combining the average wind speed and historical operating parameters in each time interval, and the safe clearance value is set as the clearance value threshold. Thus, the clearance value threshold series is constructed.

[0105] Specifically, when determining whether to generate a compensation instruction based on real-time monitoring data, it includes:

[0106] Preset multiple feedback time nodes within the current adjustment cycle;

[0107] Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node;

[0108] Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r;

[0109] Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node;

[0110] If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

[0111] Specifically, when the real-time clearance value is less than the clearance value threshold, it indicates that there is a high possibility of tower sweep risk in the current time interval, and it is necessary to superimpose a compensation value on the original pitch angle control strategy to reduce the thrust of the wind rotor surface and increase the tower clearance. At the end of the current time interval, the pitch angle compensation value exits at a ramp rate.

[0112] It can be understood that in the above embodiment, by constructing multiple time intervals within a single adjustment cycle, the original pitch angle control strategy is periodically monitored and dynamically optimized according to the real-time deviation evaluation value, thereby improving the clearance control efficiency of the wind turbine and reducing the probability of blade sweep accidents.

[0113] In a preferred embodiment of the present application, when generating the deviation evaluation value f of the current feedback time node, it includes:

[0114]

[0115] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; n1 is the number of time intervals between the start time node of the current adjustment cycle and the current feedback time node; di is the actual wind speed change value in the i-th time interval of the current adjustment cycle; d' i is the expected wind speed change value in the i-th time interval of the current adjustment cycle; d n1 is the actual wind speed change value at the current feedback time node; d' n1 is the expected wind speed change value in the time interval corresponding to the current feedback time node; Y is the selection function, if (d n1 -d' n1) ≤0, then Y=0; if (d n1 -d' n1) >0, then Y=1.

[0116] Specifically, by setting the third fixed coefficient and the fourth fixed coefficient, all parameters in the model are normalized so that each parameter is within the same value range.

[0117] Specifically, by periodically generating deviation evaluation values, the original wind speed prediction curve is monitored, and the corresponding clearance value threshold is adjusted in time according to the deviation value to avoid misjudgment of real-time tower scanning risks due to deviations from expected data.

[0118] Specifically, when determining whether to generate a correction instruction according to the deviation evaluation value f, it includes:

[0119] A first deviation evaluation value threshold F1 and a second deviation evaluation value threshold F2 are preset, and F1<F2;

[0120] If f<F1, no correction instruction is generated in the current feedback time node, and r=1 is set;

[0121] If F1≤f<F2, the current feedback time node generates a first-level correction instruction and sets the correction coefficient r according to the deviation evaluation value f;

[0122] If f>F2, the current feedback time node generates a secondary correction instruction, and updates the wind speed prediction curve within the current adjustment cycle according to the secondary correction instruction, and sets the correction coefficient r according to the update result.

[0123] Specifically, in the first-level correction instruction, the greater the deviation from the average value, the greater the corresponding correction coefficient r. In the second-level correction instruction, the original wind speed forecast curve needs to be corrected, and the clearance value threshold in the current time interval is updated according to the corrected wind speed forecast curve. The set correction coefficient r is the ratio between the updated clearance value threshold and the original clearance value threshold.

[0124] It can be understood that in the above embodiment, the original wind speed prediction curve is continuously optimized and corrected by real-time monitoring of the wind turbine's operating data, thereby improving the early warning efficiency of potential tower sweep failures, improving the clearance control efficiency of the wind turbine, and reducing the probability of blade tower sweep accidents.

[0125] Based on another preferred implementation of a wind turbine blade clearance control method in any of the above preferred embodiments, a wind turbine blade clearance control system in this preferred embodiment includes:

[0126] The central control unit is used to build multiple adjustment cycles and establish multiple monitoring points according to the wind turbine equipment parameters;

[0127] A monitoring unit, used to collect real-time monitoring data from each monitoring point;

[0128] The central control unit includes:

[0129] A first processing module, used to generate a wind speed prediction curve within a current adjustment period according to a preset wind speed prediction model;

[0130] The second processing module is used to set the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle according to the wind speed prediction curve;

[0131] A compensation module is used to determine whether to generate a compensation instruction based on real-time monitoring data, and to correct the pitch angle control strategy in the current adjustment cycle based on the compensation instruction;

[0132] The third processing module is used to obtain historical environmental data and wind turbine equipment parameters and generate a historical evaluation value a;

[0133]

[0134] Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters;

[0135] The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

[0136] Specifically, the monitoring unit includes laser light clearance monitoring equipment and laser wind radar. Laser light clearance monitoring equipment is set at some monitoring points. When the blade rotates to the monitoring point, the laser beam can quickly collect the distance from the blade tip measurement point to the laser clearance monitoring equipment, and after coordinate transformation, the tower clearance value is converted. Laser wind radar is set at some monitoring points to measure the wind shear and wind speed change rate in the incoming flow direction in real time.

[0137] In a preferred embodiment of the present application, the second processing module is also used for:

[0138] According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle;

[0139] Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle;

[0140] Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values;

[0141] Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval;

[0142] Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C;

[0143] The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

[0144] In a preferred embodiment of the present application, the compensation module is also used for:

[0145] Preset multiple feedback time nodes within the current adjustment cycle;

[0146] Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node;

[0147] Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r;

[0148] Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node;

[0149] If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

[0150] According to the first concept of the present application, by establishing an adjustment cycle, the real-time clearance status of the wind turbine blades is monitored, and the clearance value threshold is dynamically adjusted according to parameters such as wind speed changes, so as to promptly issue an early warning for the problem of insufficient clearance of wind turbine blades. By using an active compensation mechanism, the tower clearance is improved, thereby improving the control efficiency of the wind turbine clearance and ensuring the safe operation of the wind turbine.

[0151] According to the second concept of the present application, multiple time intervals are constructed within a single adjustment cycle to periodically monitor the original pitch angle control strategy, and dynamically optimize it according to the real-time deviation evaluation value, thereby improving the clearance control efficiency of the wind turbine and reducing the probability of blade sweeping tower accidents.

[0152] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A wind turbine blade clearance control method, characterized in that: include: Construct multiple adjustment cycles, and generate a wind speed prediction curve within the current adjustment cycle according to a preset wind speed prediction model; According to the wind speed prediction curve, the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle are set; Establish multiple monitoring points according to the equipment parameters of the wind turbine and obtain real-time monitoring data collected at each monitoring point; Whether to generate a compensation instruction is determined based on the real-time monitoring data, and the pitch angle control strategy in the current adjustment cycle is corrected based on the compensation instruction.

2. The wind turbine blade clearance control method according to claim 1, characterized in that: The construction of multiple adjustment cycles includes: Obtain historical environmental data and wind turbine equipment parameters, and generate historical evaluation value a; Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters; The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

3. The wind turbine blade clearance control method according to claim 2, characterized in that: When setting the duration t of the adjustment cycle, it includes: Presetting a first historical evaluation value interval (A1, A2), a second historical evaluation value interval (A2, A3) and a third historical evaluation value interval (A3, A4); If a is in the preset first historical evaluation interval, the time length t is set to the preset first time length T1, that is, t=T1; If a is in the preset second historical evaluation interval, the time length t is set to the preset second time length T2, that is, t=T2; If a is in the preset third historical evaluation interval, the time length t is set to the preset first time length T3, that is, t=T3; and T1<T2<T3.

4. The wind turbine blade clearance control method according to claim 2, characterized in that: The setting of the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle includes: According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle; Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle; Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values; Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval; Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C; The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

5. The wind turbine blade clearance control method according to claim 4, characterized in that: When judging whether to generate a compensation instruction based on real-time monitoring data, it includes: Preset multiple feedback time nodes within the current adjustment cycle; Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node; Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r; Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node; If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

6. The wind turbine blade clearance control method according to claim 5, characterized in that: When generating the deviation evaluation value f of the current feedback time node, it includes: Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; n1 is the number of time intervals between the start time node of the current adjustment cycle and the current feedback time node; di is the actual wind speed change value in the i-th time interval of the current adjustment cycle; d' i is the expected wind speed change value in the i-th time interval of the current adjustment cycle; d n1 is the actual wind speed change value at the current feedback time node; d' n1 is the expected wind speed change value in the time interval corresponding to the current feedback time node; Y is the selection function, if (d n1 -d' n1) ≤0, then Y=0; if (d n1 -d' n1) >0, then Y=1.

7. The wind turbine blade clearance control method according to claim 6, characterized in that: When judging whether to generate a correction instruction according to the deviation evaluation value f, it includes: A first deviation evaluation value threshold F1 and a second deviation evaluation value threshold F2 are preset, and F1<F2; If f<F1, no correction instruction is generated in the current feedback time node, and r=1 is set; If F1≤f<F2, the current feedback time node generates a first-level correction instruction and sets the correction coefficient r according to the deviation evaluation value f; If f>F2, the current feedback time node generates a secondary correction instruction, and updates the wind speed prediction curve within the current adjustment cycle according to the secondary correction instruction, and sets the correction coefficient r according to the update result.

8. A wind turbine blade clearance control system, using the wind turbine blade clearance control system according to any one of claims 1 to 7, characterized in that: include: The central control unit is used to build multiple adjustment cycles and establish multiple monitoring points according to the wind turbine equipment parameters; A monitoring unit, used to collect real-time monitoring data from each monitoring point; The central control unit comprises: A first processing module, used to generate a wind speed prediction curve within a current adjustment period according to a preset wind speed prediction model; The second processing module is used to set the pitch angle control strategy and the clearance value threshold curve in the current adjustment cycle according to the wind speed prediction curve; A compensation module is used to determine whether to generate a compensation instruction based on real-time monitoring data, and to correct the pitch angle control strategy in the current adjustment cycle based on the compensation instruction; The third processing module is used to obtain historical environmental data and wind turbine equipment parameters and generate a historical evaluation value a; Among them, e1 is the preset first fixed coefficient; e2 is the preset second fixed coefficient; Q1 is the preset first weight coefficient; Q2 is the preset second weight coefficient; θ1 is the number of environmental evaluation indicators; βi is the influencing factor of the i-th environmental evaluation indicator; ji is the reference value of the i-th environmental evaluation indicator generated based on historical environmental data; θ2 is the number of equipment evaluation indicators; αi is the influencing factor of the i-th equipment evaluation indicator; pi is the reference value of the i-th equipment evaluation indicator set based on the wind turbine equipment parameters; The duration t of the adjustment cycle is set according to the historical evaluation value a, and multiple adjustment cycles are constructed.

9. The wind turbine blade clearance control system according to claim 8, characterized in that: The second processing module is also used for: According to the wind speed prediction curve, multiple time intervals are set within the current adjustment cycle; Establish a time interval sequence B of the current adjustment cycle, B = (b1, b2...bi...bn), where bi is the i-th time interval in the current adjustment time interval; n is the number of time intervals in the current adjustment cycle; Generate the expected wind speed change value within the time interval according to the wind speed prediction curve, and set the clearance value threshold within each time interval according to all the expected wind speed change values; Establish a clearance value threshold sequence C, C = (c1, c2...ci...cn), where ci is the clearance value threshold in the i-th time interval; Generate a headroom value threshold curve within the current adjustment period according to the headroom value threshold sequence C; The pitch angle control strategy within the current adjustment cycle is set according to the wind speed prediction curve and the clearance value threshold curve.

10. The wind turbine blade clearance control system according to claim 9, characterized in that: The compensation module is also used for: Preset multiple feedback time nodes within the current adjustment cycle; Obtain the monitoring data collected by each monitoring point at the current feedback time node, and generate the actual clearance value c' and deviation evaluation value f at the current feedback time node; Determine whether to generate a correction instruction based on the deviation evaluation value f and set the correction coefficient r; Obtain the headroom value threshold Δc of the time interval corresponding to the current feedback time node; If c'<r*Δc, a compensation instruction is generated at the current feedback time node, and the pitch angle control strategy in the current adjustment cycle is corrected according to the compensation instruction.

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