A wind power energy storage optimization scheduling method and system

Abstract

The application discloses a wind power energy storage optimization scheduling method and system, which comprises the following steps: collecting wind direction data of natural wind based on a wind vane; if a wind turbine is not in a directly facing position of the wind direction, adjusting the wind turbine according to the wind direction data; if the wind turbine is in the directly facing position of the wind direction, counting the rotating speed of the wind turbine, determining the rotating speed change rate, and if the rotating speed change rate of the wind turbine reaches a built-in early warning value, counting the rotating speed of the blade in the deflection process according to a built-in deflection interval to obtain a first rotating speed change value; determining the real wind direction of the natural wind based on the first rotating speed change value, and determining the best adjustment data of the blade and the deflection angle of a yaw motor in the wind turbine according to the real wind direction of the natural wind; and adjusting the blade and the yaw motor based on the best adjustment data of the blade and the deflection angle of the yaw motor. The application has the effect of improving the energy storage efficiency of the wind turbine.

Description

Technical Field

[0001] This application relates to the field of wind turbine control, and in particular to a method and system for optimized scheduling of wind power energy storage. Background Technology

[0002] With the increasing global demand for clean energy, wind power, as a clean and renewable energy source, has been widely applied and rapidly developed. However, the intermittent and unstable nature of wind power poses challenges to the stable operation of power systems and power quality. To smooth wind power output and improve its controllability and reliability, wind power-storage integrated systems have emerged. These systems can store energy when wind power output is excessive and release it when wind power output is insufficient or during peak load periods, thereby effectively regulating wind power fluctuations and enhancing the stability and flexibility of the power system.

[0003] In existing technologies, energy storage regulation of wind turbines mostly involves using wind vanes to determine wind direction and then adjusting the wind turbine accordingly to maximize wind power conversion. However, in practical applications, wind direction is not horizontal, especially in mountainous areas where it may blow from above or below at an angle. This results in less than ideal adjustments to the wind turbine's horizontal direction, failing to maximize wind power conversion and thus requiring improvement. Summary of the Invention

[0004] To improve the energy storage efficiency of wind turbines, this application provides a method and system for optimized scheduling of wind power energy storage.

[0005] Firstly, this application provides a method for optimized scheduling of wind power energy storage, employing the following technical solution:

[0006] A method for optimized scheduling of wind power and energy storage includes:

[0007] Step S1: Collect natural wind data based on the wind vane to obtain wind direction data, and compare the wind direction data with the current location of the wind turbine to determine whether the wind turbine is in the correct position for the wind direction.

[0008] Step S2: If the wind turbine is not directly facing the wind direction, obtain the wind turbine's rotational speed data, determine the energy consumption of the wind turbine when adjusting its deflection based on the wind direction data and rotational speed data, and determine whether to adjust the wind turbine based on the energy consumption of the deflection adjustment.

[0009] Step S3, if the wind turbine is in the position of the wind direction, the speed of the wind turbine is counted to determine the speed change rate, if the speed change rate of the wind turbine reaches the built-in early warning value, the wind turbine is deflected according to the built-in deflection interval, and the speed of the blade during deflection is counted to obtain the first speed change value;

[0010] Step S4, determining the real wind direction of the natural wind based on the first speed change value, and establishing the data relationship between the blade of the wind turbine and the yaw angle according to the real wind direction of the natural wind, and determining the best adjustment data of the blade and the deflection angle of the yaw motor in the wind turbine according to the data relationship;

[0011] Step S5, adjusting the blade and the yaw motor based on the best adjustment data of the blade and the deflection angle of the yaw motor.

[0012] Preferably, step S21, the speed of the wind turbine is counted to obtain the speed data;

[0013] Step S22, obtaining the wind power conversion coefficient of the wind turbine, and determining the wind power data corresponding to the current speed data according to the wind power conversion coefficient to obtain the first wind power data;

[0014] Step S23, determining the offset angle between the wind direction and the wind turbine according to the wind direction data and the current position data of the wind turbine, and calculating the wind power data according to the offset angle to estimate the wind power data when the wind turbine is directly opposite to the wind direction, to obtain the second wind power data;

[0015] Step S24, obtaining the initial kinetic energy consumption data of the wind turbine, and determining the kinetic energy consumption of the wind turbine when it is adjusted to be directly opposite to the wind direction according to the initial kinetic energy consumption data and the second wind power data, to obtain the adjustment kinetic energy consumption data.

[0016] Preferably, step S25, determining the theoretical maximum speed of the wind turbine based on the second wind power data and the built-in maximum wind power conversion coefficient of the wind turbine;

[0017] Step S26, safety judgment is performed on the theoretical maximum speed, if the theoretical maximum speed is within the built-in early warning value, it is determined that the theoretical maximum speed is safe, and the time length data required for the wind turbine to produce the adjustment kinetic energy consumption data is determined according to the built-in electric energy conversion coefficient and kinetic energy conversion coefficient;

[0018] Step S27, judging the stability of wind power change according to the time length data, if the wind power change has stability, the wind turbine is adjusted according to the wind direction data, otherwise, no adjustment is performed.

[0019] Preferably, the time length data is judged, if the time length data is less than or equal to the built-in first time length threshold, the wind turbine is adjusted according to the wind direction data.

[0020] If the time length data is greater than the first time length threshold and less than the second time length threshold, the change of wind force is judged for stability;

[0021] Based on the current geographical position of the wind turbine, the wind direction data and wind force data of the wind vane of other wind turbines around the wind turbine are counted to obtain wind force information;

[0022] The wind force information is judged based on the wind direction fluctuation standard deviation method to determine whether the wind force and wind direction at the position of the wind turbine are stable;

[0023] If it is determined that the wind force and wind direction at the position of the wind turbine have stability, the wind turbine is adjusted according to the wind direction data, otherwise, the wind turbine is not adjusted;

[0024] If the time length data is greater than the second time length threshold, the wind turbine is not adjusted.

[0025] Preferably, when it is determined that the rotational speed of the wind turbine needs to be judged for the rotational speed change rate, the equipment parameters of the wind turbine are obtained, and the equipment parameters are fixed and unchanged, the rotational speed of the wind turbine is counted to determine the relationship between the rotational speed of the wind turbine and time, and the rotational speed change rate is obtained;

[0026] The rotational speed change rate is integrated to obtain the maximum rotational speed value that can be reached by the current wind force under the current equipment parameters, and the built-in warning value is judged according to the maximum rotational speed value to determine whether the maximum rotational speed value is greater than the built-in warning value.

[0027] Preferably, in step S411, based on the deflection interval and the first wind force data, the force change of the blade in the deflection process is determined to obtain first force change data;

[0028] In step S412, the first force change data is converted into rotational speed to obtain a theoretical rotational speed value, and an additional force is determined based on the theoretical rotational speed value and the first rotational speed change value;

[0029] In step S413, the real wind direction of the natural wind is determined according to the additional force and the first wind force data.

[0030] Preferably, in step S42, based on the real wind direction of the natural wind, the acting surface of the natural wind acting on the wind turbine is determined, and the deflection range when the acting surface is maximum and when the acting surface is minimum is determined according to the acting surface;

[0031] In step S43, the force for blocking the yaw of the wind turbine and the force for pushing the blade to rotate under different deflection angles are determined based on the deflection range;

[0032] Step S44, according to the force for pushing the blade to rotate, the maximum rotation speed of the wind turbine blade at different deflection angles is determined, and the maximum rotation speed is compared with the early warning value to screen out the best adjustment data and the deflection angle of the wind turbine.

[0033] Preferably, according to the force for pushing the blade to rotate, the maximum rotation speed that can be reached without considering the alarm caused by excessive rotation speed is determined;

[0034] The maximum rotation speed is compared with the built-in early warning value, and if the maximum rotation speed is greater than the early warning value, the adjustment data corresponding to the early warning value is determined according to the early warning value;

[0035] If the maximum rotation speed is less than the early warning value, the corresponding adjustment data is determined according to the maximum rotation speed.

[0036] In a second aspect, the application provides a wind power energy storage optimization scheduling system, which adopts the following technical scheme:

[0037] A wind power energy storage optimization scheduling system, comprising: a wind direction judgment module, a first analysis module, a second analysis module and an adjustment module;

[0038] The wind direction judgment module collects natural wind based on a wind vane to obtain wind direction data, and compares the wind direction data with the current position of the wind turbine to determine whether the wind turbine is in the directly facing position of the wind direction;

[0039] The first analysis module obtains the rotation speed data of the wind turbine if the wind turbine is not in the directly facing position of the wind direction, determines the energy consumption when the wind turbine is deflected according to the wind direction data and the rotation speed data, and determines whether to adjust the wind turbine according to the energy consumption when the wind turbine is deflected;

[0040] The second analysis module, if the wind turbine is in the directly facing position of the wind direction, the rotation speed of the wind turbine is counted to determine the rotation speed change rate, if the rotation speed change rate of the wind turbine reaches the built-in early warning value, the wind turbine is deflected once according to the built-in deflection interval, and the rotation speed of the blade during deflection is counted to obtain a first rotation speed change value; the real wind direction of the natural wind is determined based on the first rotation speed change value, and the data relationship between the blade of the wind turbine and the yaw angle is established according to the real wind direction of the natural wind, and the best adjustment data of the blade and the deflection angle of the yaw motor of the wind turbine are determined according to the data relationship;

[0041] The adjustment module adjusts the blade and the yaw motor based on the best adjustment data of the blade and the deflection angle of the yaw motor.

[0042] In summary, the application has at least one of the following beneficial technical effects:

[0043] 1. By determining the position state between the current wind turbine and the wind direction by using the wind vane, when the wind turbine is directly opposite to the wind direction, the safety of the wind turbine is determined by judging the speed of the wind turbine, so as to determine whether the warning measures need to be taken, to ensure the safety of the wind turbine, when it is determined that the warning measures need to be taken, the wind turbine is deflected once by using the built-in deflection interval, so as to determine the real wind direction of the natural wind according to the actual blade speed and the theoretical blade speed after deflection, and then the force of the natural wind on the blade and the force of the natural wind on the wind turbine yaw can be determined according to the real wind direction of the natural wind, and then the best adjustment data of the blade and the best deflection angle of the wind turbine are determined according to the force of the natural wind on the blade and the force of the natural wind on the wind turbine yaw, which improves the wind power conversion rate of the wind turbine, reduces the influence of the natural wind on the wind turbine, and improves the energy storage efficiency of the wind turbine;

[0044] 2. By using the wind power conversion coefficient to determine the wind force data of the wind turbine before adjustment, and then determining the offset angle between the wind direction and the wind turbine according to the wind direction data, and determining the wind force data of the wind turbine when it is directly opposite to the natural wind according to the offset angle, so as to determine the wind resistance of the wind turbine when it is adjusted according to the corresponding offset angle, and then the kinetic energy data consumed during adjustment is determined according to the wind resistance, and then the power generation efficiency of the wind turbine before adjustment and the power generation efficiency after adjustment are determined according to the second wind force data, and then the time period required to compensate for the kinetic energy data consumed during adjustment is evaluated according to the power generation efficiency before adjustment and the power generation efficiency after adjustment, and then it is determined whether adjustment is needed according to the time period, so as to avoid unnecessary adjustment, reduce resource waste, and improve the energy storage efficiency of the wind turbine;

[0045] 3. The theoretical speed value of the wind turbine during deflection is determined by comprehensively using the deflection interval, and the real wind direction of the natural wind is determined according to the theoretical speed and the actual speed, so that the adjustment value obtained by analyzing the wind turbine during adjustment is more reliable, the action surface of the natural wind on the wind turbine is determined by using the real wind direction of the natural wind, so as to determine the adjustment range of the wind turbine, and the dynamic balance of the speed of the wind turbine and the influence of the wind turbine is judged according to the adjustment range, so that the best adjustment angle data of the wind turbine blade and the best adjustment angle of the yaw motor can reduce the influence of the natural wind on the wind turbine while maintaining the power generation efficiency of the wind turbine, thereby improving the energy storage efficiency of the wind turbine. BRIEF DESCRIPTION OF DRAWINGS

[0046] Fig. 1 The step flow chart for the wind power energy storage optimization scheduling method of the present embodiment;

[0047] Fig. 2 The module block diagram of the wind power energy storage optimization scheduling system of the present embodiment.

[0048] Label: 1, wind direction judgment module; 2, first analysis module; 3, second analysis module; 4, adjustment module. DETAILED DESCRIPTION

[0049] The following will be described in detail below Figs. 1-2 Further detailed description will be made to the present application.

[0050] The embodiment of the present application discloses a wind power energy storage optimization scheduling method and system.

[0051] Embodiment: as shown in the figure, the present application is a wind power energy storage optimization scheduling method, which comprises: Fig. 1

[0052] S1, based on the wind vane, the natural wind is collected to obtain the wind direction data, and the wind direction data is compared with the current position of the wind turbine to determine whether the wind turbine is in the direct position of the wind direction;

[0053] S2, if the wind turbine is not in the direct position of the wind direction, the rotating speed data of the wind turbine is obtained, the energy consumption of the wind turbine when deflection adjustment is determined according to the wind direction data and the rotating speed data, and whether the wind turbine is adjusted is determined according to the energy consumption when deflection adjustment;

[0054] S3, if the wind turbine is in the direct position of the wind direction, the rotating speed of the wind turbine is counted to determine the rotating speed change rate, if the rotating speed change rate of the wind turbine reaches the built-in early warning value, the wind turbine is deflected once according to the built-in deflection interval, and the rotating speed of the blade during deflection is counted to obtain the first rotating speed change value; the rotating speed change rate refers to the state of the wind turbine is fixed when the rotating speed of the wind turbine needs to be counted after the natural wind changes, and the rotating speed of the wind turbine after being fixed is collected and counted to determine the rotating speed change rate of the wind turbine.

[0055] S4, the real wind direction of the natural wind is determined based on the first rotating speed change value, and the data relationship between the blade of the wind turbine and the yaw angle is established according to the real wind direction of the natural wind, and the best adjustment data of the blade and the deflection angle of the yaw motor in the wind turbine are determined according to the data relationship;

[0056] S5, the blade and the yaw motor are adjusted based on the best adjustment data of the blade and the deflection angle of the yaw motor.

[0057] ​In the embodiment, the position state between the current wind turbine and the wind direction is determined by using the wind vane. When the wind turbine is directly opposite to the wind direction, the safety of the wind turbine is judged by the rotating speed of the wind turbine, so as to determine whether the warning measures need to be taken to ensure the safety of the wind turbine. When it is determined that the warning measures need to be taken, the wind turbine is deflected once by using the built-in deflection interval, so as to determine the real wind direction of the natural wind according to the actual rotating speed of the blade after deflection and the theoretical rotating speed of the blade. Then, the force of the natural wind on the blade and the force of the natural wind on the yaw of the wind turbine can be determined according to the real wind direction of the natural wind. Then, the best adjustment data of the blade and the best deflection angle of the wind turbine are determined according to the force of the natural wind on the blade and the force of the natural wind on the yaw of the wind turbine. The wind power conversion rate of the wind turbine is improved, the influence of the natural wind on the wind turbine is reduced, and the energy storage efficiency of the wind turbine is improved.

[0058] For example, the wind direction is determined by collecting the natural wind by using the wind vane. The current state of the wind turbine is determined by the wind direction. If the wind turbine is not directly opposite to the wind direction, the direct adjustment is performed first, and then the wind turbine is adjusted again after the direct adjustment.

[0059] When the wind turbine is directly opposite to the wind direction, it is first determined whether the current wind will cause danger to the wind turbine, for example, whether the wind turbine will be overloaded. If it is determined that the overload will occur, the safety of the wind turbine is protected first to reduce the possibility of overload. If it is determined that the overload will not occur, the real wind direction of the natural wind is determined by using the force of the wind on the blade. For example, the natural wind flows from bottom to top at an angle. When passing through the wind vane, the corresponding wind direction can still be detected, but the detected wind direction is in the horizontal direction, not in the vertical direction.

[0060] After the real wind direction of the natural wind is determined, the real force of the natural wind on the wind turbine is determined based on the horizontal direction. Then, the adjustment angle of the blade and the yaw angle of the wind turbine are determined according to the real force, so that the influence of the natural wind on the wind turbine is minimized, and the conversion effect of the blade on the natural wind is optimized, so that the wind power storage can be maximized under the same natural wind.

[0061] In step S2, if the wind turbine is not in the direct opposite position of the wind direction, the rotating speed data of the wind turbine is obtained, the energy consumption of the wind turbine during deflection adjustment is determined according to the wind direction data and the rotating speed data, and whether the wind turbine needs to be adjusted is determined according to the energy consumption during deflection adjustment.

[0062] S21, the rotating speed of the wind turbine is counted to obtain the rotating speed data;

[0063] S22, obtain a wind power conversion coefficient of the wind turbine, and determine wind power data corresponding to the current speed data according to the wind power conversion coefficient to obtain first wind power data; wherein the first wind power data is wind power directly acting on the wind turbine blade.

[0064] S23, determine an offset angle between the wind direction and the wind turbine according to the wind direction data and the current position data of the wind turbine, and calculate the wind power data according to the offset angle to estimate wind power data when the wind turbine is directly against the wind direction to obtain second wind power data.

[0065] S24, obtain initial kinetic energy consumption data of the wind turbine, and determine kinetic energy consumption when the wind turbine is adjusted to be directly against the wind direction according to the initial kinetic energy consumption data and the second wind power data to obtain adjustment kinetic energy consumption data.

[0066] S25, determine a theoretical maximum speed of the wind turbine based on the second wind power data and a maximum wind power conversion coefficient built in the wind turbine.

[0067] S26, perform safety judgment on the theoretical maximum speed, if the theoretical maximum speed is within a built-in warning value, determine that the theoretical maximum speed is safe, and determine a time length data required for the wind turbine to produce the adjustment kinetic energy consumption data according to a built-in electric energy conversion coefficient and a kinetic energy conversion coefficient; wherein the time length data is a ratio between a kinetic energy difference generated by the wind power after adjustment and the wind power before adjustment and the kinetic energy consumption data.

[0068] S27, judge the stability of the wind power change according to the time length data, if the wind power change has stability, adjust the wind turbine according to the wind direction data, otherwise, do not adjust.

[0069] In this embodiment, the wind power data before adjustment is determined by using the wind power conversion coefficient, the offset angle between the wind direction and the wind turbine is determined according to the wind direction data, and the wind power data when the wind turbine is directly against the natural wind is determined according to the offset angle, so that the wind power resistance when the wind turbine is adjusted according to the corresponding offset angle is determined, and then the kinetic energy consumption required for adjustment is determined according to the wind power resistance, the electric power generation efficiency before adjustment and the electric power generation efficiency after adjustment are determined according to the second wind power data, and then the time period required to compensate for the kinetic energy consumption required for adjustment is evaluated according to the electric power generation efficiency before adjustment and the electric power generation efficiency after adjustment, and then whether adjustment is required is determined according to the time period, unnecessary adjustment is avoided, resource waste is reduced, and the energy storage efficiency of the wind turbine is improved.

[0070] For example, when the wind turbine is not in the position of directly facing the wind direction, the rotation speed data of the wind turbine is collected first, and then the conversion coefficient of the wind turbine to wind force is determined according to the current angle of the wind turbine blade, for example, y=ax, where x is the wind force, a is the conversion coefficient, and y is the rotation speed, that is, when the conversion coefficient is constant, the greater the wind force, the faster the rotation speed. Similarly, when the rotation speed and the conversion coefficient are known, the corresponding wind force can be evaluated. The wind force is the force of the natural wind used to push the blade to rotate.

[0071] According to the decomposition of force, assuming that the offset angle reflected by the wind direction data is 60°, the corresponding wind force in the positive direction can be calculated by using the trigonometric function formula. For example, the currently evaluated wind force is 10, and the wind force received by the wind turbine when it directly faces the wind direction can be evaluated by using the trigonometric function formula, which is twice the current wind force. Therefore, the wind force when directly facing the wind direction is evaluated to be 20, that is, the real wind force of the natural wind.

[0072] Because there is an angle between the wind direction of the natural wind and the current position of the wind turbine, the wind turbine not only receives the force used to push the blade to rotate, but also receives the force used to hinder the deflection of the wind turbine. Therefore, when the wind turbine performs yaw adjustment, in addition to the kinetic energy required to resist the movement of the wind turbine itself, the kinetic energy required to resist the force of the wind on the wind turbine is also needed.

[0073] Therefore, after the wind direction is deflected, it is necessary to determine whether the current deflected wind direction and wind force are worth adjusting the wind turbine. By calculating the conversion results of the wind turbine into electric power before and after the adjustment, and then calculating the kinetic energy consumption during the adjustment, it can be determined how long it takes for the wind turbine to produce electric power to offset the kinetic energy consumption during the adjustment after the adjustment, and then it can be determined whether to adjust, thereby improving the accuracy of the adjustment.

[0074] In step S27, the stability of the change in wind force is judged according to the time length data. If the change in wind force has stability, the wind turbine is adjusted according to the wind direction data, otherwise, the adjustment is not performed, including the following steps:

[0075] S271, the time length data is judged. If the time length data is less than or equal to the first time length threshold value built-in, the wind turbine is adjusted according to the wind direction data;

[0076] S272, if the time length data is greater than the first time length threshold value built-in and less than the second time length threshold value built-in, the stability of the change in wind force is judged;

[0077] S273, based on the current geographical position of the wind turbine, the wind direction data and wind force data of the wind vane of other wind turbines around the wind turbine are counted to obtain wind force information. Wherein, the other wind turbines around the wind turbine refer to counting the wind direction data and wind force data of the wind vane of all wind turbines in the radius interval based on the built-in radius interval.

[0078] S274, judging the wind information based on the wind direction fluctuation standard deviation method to determine whether the wind force and wind direction at the location of the wind turbine are stable;

[0079] S275, if it is determined that the wind force and wind direction at the location of the wind turbine are stable, adjusting the wind turbine according to the wind direction data, otherwise, not adjusting the wind turbine;

[0080] S276, if the time length data is greater than the second time length threshold, not adjusting the wind turbine.

[0081] In this embodiment, by comparing the time length data with the first time length threshold and the second time length threshold, the risk of energy loss borne by the wind turbine when adjusted is determined. When the time length data is less than the first time length threshold, it indicates that the borne risk supports the adjustment of the wind turbine. When the time length data is greater than the second time length threshold, it indicates that the borne wind direction does not support the adjustment of the wind turbine. When the time length data is between the first time length threshold and the second time length threshold, the stability of the natural wind is determined by using the wind direction fluctuation standard deviation method to judge the wind information, so as to further determine whether the wind turbine needs to be adjusted, thereby improving the accuracy of the adjustment judgment.

[0082] For example, since the fluctuation of the natural wind is not stable, when the wind direction of the natural wind changes, the less energy consumed by the adjustment, the greater the benefit generated after the adjustment. On the contrary, when the energy consumed by the adjustment is too large, it leads to a long time to make up for the energy loss after the adjustment, so the wind direction of the natural wind may change again when the consumed data is made up, thereby reducing the energy storage of the adjusted wind turbine. Therefore, it is necessary to determine whether to make up according to the time length to be made up.

[0083] When the time length data is less than the first time length threshold, it indicates that the consumed energy by the adjustment can be quickly made up, so the adjustment can be made. If the time length data is greater than the second time length threshold, it indicates that the risk borne by the adjustment of the wind turbine is greater, so the adjustment is not made.

[0084] When the time length data is between the first time length threshold and the second time length threshold, it indicates that the risk borne by the adjustment is within an acceptable range, but the stability of the natural wind needs to be re-determined, thereby further improving the accuracy of the adjustment judgment.

[0085] By using the existing wind direction fluctuation standard deviation method to collect and analyze the corresponding wind information, it is determined whether the natural wind in the region is stable. If it is stable, the adjustment is made, otherwise the adjustment is not made.

[0086] In step S3, if the wind turbine is in the position of facing the wind direction, the rotation speed of the wind turbine is counted to determine the rotation speed change rate, if the rotation speed change rate of the wind turbine reaches the built-in early warning value, the wind turbine is deflected according to the built-in deflection range, and the rotation speed of the blade during the deflection process is counted to obtain the first rotation speed change value, including the following steps:

[0087] S31, when it is determined that the rotation speed change rate of the wind turbine needs to be determined, the device parameters of the wind turbine are obtained, and the device parameters are fixed unchanged, the rotation speed of the wind turbine is counted to determine the relationship between the rotation speed of the wind turbine and the time, and the rotation speed change rate is obtained;

[0088] S32, the rotation speed change rate is integrated to obtain the maximum rotation speed value that can be reached by the current wind under the current device parameters, and the built-in early warning value is judged according to the maximum rotation speed value to determine whether the maximum rotation speed value is greater than the built-in early warning value.

[0089] For example, when the wind turbine is in the position of facing the wind direction, in order to make the conversion rate of the wind turbine to wind force reach the highest, while reducing the force of natural wind on the wind turbine, it is necessary to judge the real wind direction of natural wind, and before judging the real wind direction of natural wind, it is necessary to judge the danger of the current wind to the wind turbine, by determining whether the wind will overload the wind turbine under the condition that the device parameters of the wind turbine are unchanged, and then determining the influence of the current wind on the wind turbine.

[0090] Because the wind force reaches dynamic balance with the rotation speed of the blade when the wind force drives the blade to rotate, that is, the change rate of the rotation speed of the blade gradually slows down from fast, so that a change curve between the rotation speed of the blade and the time is obtained by counting, and the maximum rotation speed value of the blade when the wind force reaches dynamic balance with the wind turbine blade is calculated by integrating the curve, and the maximum rotation speed value in theory is compared with the early warning value in the wind turbine safety system, so as to determine whether the current wind is dangerous to the wind turbine.

[0091] In step S4, the real wind direction of the natural wind is determined based on the first rotation speed change value, and the data relationship between the blade of the wind turbine and the yaw angle is established according to the real wind direction of the natural wind, and the best adjustment data of the blade and the deflection angle of the yaw motor in the wind turbine are determined according to the data relationship, including the following steps:

[0092] S411, based on the deflection range and the first wind force data, the force change of the blade during the deflection process is determined to obtain the first force change data;

[0093] S412, the first force change data is converted into rotation speed to obtain the theoretical rotation speed value, and the additional force is determined based on the theoretical rotation speed value and the first rotation speed change value.

[0094] S413, determining the real wind direction of the natural wind according to the additional force and the first wind force data.

[0095] S42, determining the action surface of the natural wind on the wind turbine according to the real wind direction of the natural wind, and determining the deflection range when the action surface is maximum and when the action surface is minimum according to the action surface;

[0096] S43, determining the force for impeding the yaw of the wind turbine and the force for pushing the blade to rotate at different deflection angles according to the deflection range;

[0097] S44, determining the maximum rotating speed of the wind turbine blade at different deflection angles according to the force for pushing the blade to rotate, and comparing the maximum rotating speed with a warning value to screen the best adjustment data and the deflection angle of the wind turbine. Wherein the maximum rotating speed is determined according to the force for pushing the blade to rotate without considering the alarm caused by too large rotating speed; the maximum rotating speed is compared with the built-in warning value, if the maximum rotating speed is greater than the warning value, the adjustment data corresponding to the warning value is determined according to the warning value; if the maximum rotating speed is less than the warning value, the corresponding adjustment data is determined according to the maximum rotating speed.

[0098] In the embodiment, the theoretical rotating speed value of the wind turbine in the deflection process is determined by using the deflection range, the actual rotating speed value is collected, and the real wind direction of the natural wind is determined according to the theoretical rotating speed and the actual rotating speed, so that the adjustment value analyzed when the wind turbine is adjusted is more reliable. By using the real wind direction of the natural wind, the action surface of the natural wind on the wind turbine is determined, so as to determine the adjustment range of the wind turbine, and the dynamic balance judgment of the rotating speed of the wind turbine and the influence of the wind turbine is carried out according to the adjustment range, so that the selected best adjustment angle data of the wind turbine blade and the best adjustment angle of the yaw motor can reduce the influence of the natural wind on the wind turbine while maintaining the power generation efficiency of the wind turbine and improving the energy storage efficiency of the wind turbine.

[0099] For example, when determining the real wind direction of the natural wind, if the real wind direction of the natural wind is parallel to the ground, when the wind turbine is deflected in the corresponding deflection interval, the rotation speed of the wind turbine blade is only affected by the force in the horizontal direction, so that the actual collected rotation speed change is the same as the actual rotation speed change, and if not, it indicates that the real wind direction of the natural wind has an angle with the ground, so when the real wind direction of the natural wind is determined to have an angle with the ground, the wind turbine blade will be affected by an additional force when the wind turbine is deflected in the corresponding deflection interval, which may increase the rotation speed of the blade or may reduce the rotation speed of the blade, so that the size of the additional force acting on the blade under different deflection angles is determined by determining the difference between the theoretical rotation speed value and the actual first rotation speed change value, and then the additional force is determined, and the direction of the resultant force is determined according to the additional force and the first wind force data, and then the real wind direction of the natural wind is determined.

[0100] When the real wind direction of the natural wind is determined, the acting surface of the natural wind acting on the wind turbine in the vertical direction is determined, and then the adjustment range of the wind turbine is determined according to the acting surface, when the acting surface is the largest, it indicates that the influence of the natural wind on the wind turbine is the largest, and when the acting surface is the smallest, it indicates that the influence of the natural wind on the wind turbine is the smallest, at the same time, when the acting surface is the largest, the rotation speed of the blade can reach the maximum without considering safety, and when the acting surface is the smallest, the rotation speed of the blade reaches the minimum.

[0101] At the same time, since the current wind force can make the rotation speed of the blade reach the warning value, if the deflection adjustment is not performed, the wind turbine needs to perform parameter adjustment, such as brake system, to ensure that the rotation speed of the blade is within a safe range, so that by performing deflection adjustment on the wind turbine, the influence of the natural wind on the wind turbine can be reduced, and the power generation efficiency of the wind turbine can be ensured, and the energy storage efficiency of the wind turbine is improved.

[0102] Based on the above description of the wind power energy storage optimization scheduling method embodiment, the present embodiment also discloses a wind power energy storage optimization scheduling system:

[0103] As shown in Fig. 2 A wind power energy storage optimization scheduling system is provided by applying the wind power energy storage optimization scheduling method as described above, which comprises a wind direction judgment module 1, a first analysis module 2, a second analysis module 3 and an adjustment module 4.

[0104] The wind direction judgment module 1 collects the natural wind based on the wind direction marker to obtain wind direction data, and compares the wind direction data with the current position of the wind turbine to determine whether the wind turbine is in the directly facing position of the wind direction;

[0105] The first analysis module 2 obtains the rotating speed data of the wind turbine if the wind turbine is not in the position of directly facing the wind direction, determines the energy consumption of the wind turbine when the wind turbine is adjusted by deflection according to the wind direction data and the rotating speed data, and determines whether to adjust the wind turbine according to the energy consumption when the wind turbine is adjusted by deflection;

[0106] The second analysis module 3 carries out statistics on the rotating speed of the wind turbine if the wind turbine is in the position of directly facing the wind direction, determines the rotating speed change rate, carries out deflection of the wind turbine according to the built-in deflection interval if the rotating speed change rate of the wind turbine reaches the built-in early warning value, carries out statistics on the rotating speed of the blade in the deflection process to obtain a first rotating speed change value, determines the real wind direction of the natural wind based on the first rotating speed change value, establishes the data relationship between the blade and the yaw angle of the wind turbine according to the real wind direction of the natural wind, and determines the best adjustment data of the blade and the deflection angle of the yaw motor of the wind turbine according to the data relationship;

[0107] The adjustment module 4 adjusts the blade and the yaw motor based on the best adjustment data of the blade and the deflection angle of the yaw motor.

[0108] Compared with the existing wind power energy storage optimization scheduling method and system, the energy storage efficiency of the wind turbine is improved.

[0109] The above are preferred embodiments of the present application, and do not limit the protection scope of the present application, so: all equivalent changes made according to the structure, shape, principle of the present application should be covered in the protection scope of the present application.

Claims

1. A wind power energy storage optimal scheduling method, characterized in that, The method comprises the following steps: Step S1, collecting natural wind based on a wind vane to obtain wind direction data, and comparing the wind direction data with the current position of the wind turbine to determine whether the wind turbine is in the direct position of the wind direction; Step S2, if the wind turbine is not in the direct position of the wind direction, obtaining the rotating speed data of the wind turbine, determining the energy consumption of the wind turbine during deflection adjustment according to the wind direction data and the rotating speed data, and determining whether to adjust the wind turbine according to the energy consumption during deflection adjustment; Step S3, if the wind turbine is in the direct position of the wind direction, counting the rotating speed of the wind turbine to determine the rotating speed change rate, if the rotating speed change rate of the wind turbine reaches the built-in warning value, adjusting the wind turbine once according to the built-in deflection interval, and counting the rotating speed of the blade during deflection to obtain a first rotating speed change value; Step S4, determining the real wind direction of the natural wind based on the first rotating speed change value, establishing a data relationship between the blade of the wind turbine and the yaw angle according to the real wind direction of the natural wind, and determining the best adjustment data of the blade and the deflection angle of the yaw motor in the wind turbine according to the data relationship; Step S5, adjusting the blade and the yaw motor based on the best adjustment data of the blade and the deflection angle of the yaw motor.

2. The method for wind power storage optimization scheduling according to claim 1, characterized in that: Step S2, specifically: Step S21, counting the rotating speed of the wind turbine to obtain rotating speed data; Step S22, obtaining the wind power conversion coefficient of the wind turbine, and determining the wind power data corresponding to the current rotating speed data according to the wind power conversion coefficient to obtain first wind power data; Step S23, determining the deflection angle between the wind direction and the wind turbine according to the wind direction data and the current position data of the wind turbine, and calculating the wind power data according to the deflection angle to estimate the wind power data that the wind turbine will receive when it is directly opposite to the wind direction, to obtain second wind power data; Step S24, obtaining the initial kinetic energy consumption data of the wind turbine, and determining the kinetic energy consumption of the wind turbine when it is adjusted to be directly opposite to the wind direction according to the initial kinetic energy consumption data and the second wind power data, to obtain adjustment kinetic energy consumption data.

3. The method for wind power storage optimization scheduling according to claim 2, characterized in that: Step S2, further comprising: Step S25, determining the theoretical maximum rotating speed of the wind turbine based on the second wind power data and the built-in maximum wind power conversion coefficient of the wind turbine; Step S26, performing safety judgment on the theoretical maximum rotating speed, if the theoretical maximum rotating speed is within the built-in warning value, determining that the theoretical maximum rotating speed is safe, and determining the time length data required for the wind turbine to produce the adjustment kinetic energy consumption data according to the built-in electric energy conversion coefficient and kinetic energy conversion coefficient; Step S27, judging the stability of wind power change according to the time length data, if the wind power change has stability, adjusting the wind turbine according to the wind direction data, otherwise, not adjusting.

4. The method for wind power storage optimization scheduling according to claim 3, characterized in that: Step S27, specifically: judging the time length data, if the time length data is less than or equal to the built-in first time length threshold, adjusting the wind turbine according to the wind direction data; if the time length data is greater than the built-in first time length threshold and less than the built-in second time length threshold, judging the stability of the wind power change; based on the current geographical position of the wind turbine, counting the wind direction data and wind power data of the wind vanes of other wind turbines around the wind turbine to obtain wind power information; The wind direction fluctuation standard deviation method is used to judge the wind information, and whether the wind force and wind direction at the position of the wind turbine are stable is determined. If it is determined that the wind force and wind direction at the position of the wind turbine are stable, the wind turbine is adjusted according to the wind direction data, otherwise, the wind turbine is not adjusted. If the time length data is greater than the second time length threshold, the wind turbine is not adjusted.

5. The method for wind power storage optimization scheduling according to claim 4, characterized in that: Step S3, specifically: When it is determined that the speed of the wind turbine needs to be judged by the speed change rate, the equipment parameters of the wind turbine are obtained, and the equipment parameters are fixed and unchanged. The speed of the wind turbine is counted to determine the relationship between the speed of the wind turbine and the time, and the speed change rate is obtained. The speed change rate is integrated to obtain the maximum speed value that can be reached by the current wind force under the current equipment parameters, and the maximum speed value is used to judge the built-in warning value to determine whether the maximum speed value is greater than the built-in warning value.

6. The method for wind power storage optimization scheduling according to claim 5, characterized in that: Step S4, specifically: Step S411, based on the deflection interval and the first wind force data, the force change of the blade in the deflection process is determined to obtain the first force change data; Step S412, the first force change data is converted into speed to obtain the theoretical speed value, and the additional force is determined based on the theoretical speed value and the first speed change value; Step S413, the real wind direction of the natural wind is determined according to the additional force and the first wind force data.

7. The method for wind power storage optimization scheduling according to claim 6, characterized in that: Step S4, specifically: Step S42, based on the real wind direction of the natural wind, the action surface of the natural wind acting on the wind turbine is determined, and the deflection range when the action surface is maximum and when the action surface is minimum is determined according to the action surface; Step S43, based on the deflection range, the force for blocking the yaw of the wind turbine and the force for pushing the blade to rotate at different deflection angles are determined; Step S44, according to the force for pushing the blade to rotate, the maximum speed of the wind turbine blade at different deflection angles is determined, and the maximum speed is compared with the warning value to screen out the best adjustment data and the deflection angle of the wind turbine.

8. The method for wind power storage optimization scheduling according to claim 7, characterized in that: Step S44, specifically: The maximum speed that can be reached without considering the alarm caused by excessive speed is determined according to the force for pushing the blade to rotate; The maximum speed is compared with the built-in warning value, if the maximum speed is greater than the warning value, the adjustment data corresponding to the warning value is determined according to the warning value; If the maximum speed is less than the warning value, the corresponding adjustment data is determined according to the maximum speed.

9. A wind power energy storage optimal scheduling system, characterized in that, The system is used to realize the wind power energy storage optimization scheduling method in any one of claims 1-8: comprising: a wind direction judgment module, a first analysis module, a second analysis module and an adjustment module; The wind direction judgment module collects the wind direction data of the natural wind based on the wind direction marker, and compares the wind direction data with the current position of the wind turbine to determine whether the wind turbine is in the direct position of the wind direction; The first analysis module obtains the speed data of the wind turbine if the wind turbine is not in the direct position of the wind direction, determines the energy consumption of the wind turbine when it is deflected and adjusted according to the wind direction data and the speed data, and determines whether to adjust the wind turbine according to the energy consumption when it is deflected and adjusted; The second analysis module is configured to: if the wind turbine is in a position directly facing the wind direction, then count the rotating speed of the wind turbine to determine a rotating speed change rate; if the rotating speed change rate of the wind turbine reaches a built-in early warning value, then perform a deflection on the wind turbine according to a built-in deflection range, and count the rotating speed of the blades during the deflection to obtain a first rotating speed change value; determine the real wind direction of the natural wind based on the first rotating speed change value, and establish a data relationship between the blades and the yaw angle of the wind turbine according to the real wind direction of the natural wind, and determine the best adjustment data of the blades and the deflection angle of the yaw motor in the wind turbine according to the data relationship; The adjustment module is configured to adjust the blades and the yaw motor based on the best adjustment data of the blades and the deflection angle of the yaw motor.

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