Wind power energy storage optimization scheduling method and system

Abstract

The invention discloses a wind power energy storage optimization scheduling method and system, and the method comprises the steps: collecting natural wind based on a wind indicator to obtain wind direction data, and adjusting a wind motor according to the wind direction data if the wind motor is not located at a position right opposite to the wind direction; if the wind turbine is located at the position right opposite to the wind direction, the rotating speed of the wind turbine is counted, the rotating speed change rate is determined, and if the rotating speed change rate of the wind turbine reaches a built-in early warning value, the rotating speed of the blade in the deflection process is counted according to a built-in deflection interval, and a first rotating speed change value is obtained; determining the real wind direction of the natural wind based on the first rotating speed change value, and determining the optimal adjustment data of the blades 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 blades and the yaw motor based on the optimal adjustment data of the blades and the deflection angle of the yaw motor. The effect of improving the energy storage efficiency of the wind driven generator is achieved.

Description

Technical Field

[0001] The present application relates to the field of wind turbine control, and in particular to a method and system for optimizing the scheduling of wind power energy storage. Background Art

[0002] With the growing global demand for clean energy, wind power, as a clean, renewable energy source, has seen widespread adoption and rapid development. However, the intermittent and unstable nature of wind power poses challenges to the stable operation and power quality of power systems. To smooth wind power output and improve its controllability and reliability, wind power and energy storage systems have emerged. Energy storage systems can store energy during periods of excess wind power output and release it during periods of insufficient wind power output or peak loads, effectively regulating wind power fluctuations and enhancing the stability and flexibility of the power system.

[0003] In existing technologies, energy storage control for wind turbines is often achieved by using a wind vane to determine wind direction and then adjusting the wind turbine accordingly to maximize wind power conversion. However, in practice, because wind direction varies, particularly in mountainous areas, where it can blow from above or below, horizontal adjustment of the wind turbine is often unsatisfactory, preventing it from maximizing wind power conversion. This leaves room for improvement. Summary of the Invention

[0004] In order to improve the energy storage efficiency of wind turbines, the present application provides a method and system for optimizing the scheduling of wind power energy storage.

[0005] In a first aspect, the present application provides a method for optimizing the dispatch of wind power energy storage, which adopts the following technical solutions:

[0006] A method for optimizing and dispatching wind power energy storage, comprising:

[0007] 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 a position facing the wind direction;

[0008] Step S2: If the wind turbine is not facing the wind direction, obtain the speed data of the wind turbine, determine the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determine whether to adjust the wind turbine based on the energy consumption during deflection adjustment;

[0009] Step S3: If the wind turbine is directly facing 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 a built-in warning value, the wind turbine is deflected once according to the built-in deflection interval, and the speed of the blades during the deflection process is counted to obtain a first speed change value.

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

[0011] Step S5: adjusting the blades and the yaw motor based on the optimal adjustment data of the blades and the deflection angle of the yaw motor.

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

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

[0014] Step S23, determining the offset angle between the wind direction and the wind turbine based on the wind direction data and the current position data of the wind turbine, and calculating the wind force data based on the offset angle to estimate the wind force data received by the wind turbine when it faces the wind direction, thereby obtaining second wind force data;

[0015] Step S24 , obtaining initial kinetic energy consumption data of the wind turbine, and determining the kinetic energy consumption when the wind turbine is adjusted to face the wind direction based on the initial kinetic energy consumption data and the second wind force data, to obtain adjusted kinetic energy consumption data.

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

[0017] Step S26: Perform a safety assessment on the maximum theoretical speed. If the maximum theoretical speed is within the built-in warning value, the maximum theoretical speed is determined to be safe. The time required for the wind turbine to produce the adjusted kinetic energy consumption data is determined based on the built-in electric energy conversion coefficient and kinetic energy conversion coefficient.

[0018] Step S27: judging the stability of the wind force change according to the duration data; if the wind force change is stable, adjusting the wind turbine according to the wind direction data; otherwise, no adjustment is performed.

[0019] Preferably, the duration data is judged, and if the duration data is less than or equal to a built-in first duration threshold, the wind turbine is adjusted according to the wind direction data;

[0020] If the duration data is greater than the built-in first duration threshold and less than the built-in second duration threshold, the stability of the wind speed change is judged;

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

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

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

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

[0025] Preferably, when it is determined that the 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 speed of the wind turbine is statistically analyzed, and the relationship between the speed of the wind turbine and time is determined to obtain the speed change rate;

[0026] The speed change rate is integrated to obtain the maximum speed value that can be achieved by the current wind force under the current equipment parameters, and the built-in warning value is judged based on the maximum speed value to determine whether the maximum 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, a force change of the blade during the deflection process is determined to obtain first force change data;

[0028] Step S412, converting the first force change data into a rotational speed to obtain a theoretical rotational speed value, and determining an additional force based on the theoretical rotational speed value and the first rotational speed change value;

[0029] Step S413: determining the true wind direction of the natural wind according to the additional force and the first wind force data.

[0030] Preferably, in step S42, based on the actual wind direction of the natural wind, the action surface of the natural wind 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;

[0031] Step S43, determining the force for hindering the yaw of the wind turbine and the force for driving the blades to rotate at different deflection angles based on the deflection range;

[0032] Step S44: determining the maximum rotation speed of the wind turbine blades at different deflection angles based on the force used to drive the blades to rotate, and comparing the maximum rotation speed with the warning value to select the best adjustment data and deflection angle of the wind turbine.

[0033] Preferably, the maximum rotational speed that can be achieved without considering an alarm caused by excessive rotational speed is determined based on the force that drives the blades to rotate;

[0034] Compare the maximum speed with the built-in warning value. If the maximum speed is greater than the warning value, determine the adjustment data corresponding to the warning value according to the warning value.

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

[0036] In a second aspect, the present application provides a system for optimizing and dispatching wind power energy storage, which adopts the following technical solutions:

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

[0038] The wind direction judgment module collects natural wind based on the 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 a position facing the wind direction;

[0039] The first analysis module obtains the speed data of the wind turbine if the wind turbine is not directly facing the wind direction, determines the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determines whether to adjust the wind turbine based on the energy consumption during deflection adjustment;

[0040] The second analysis module, if the wind turbine is in a position facing the wind direction, counts the speed of the wind turbine to determine the speed change rate; if the speed change rate of the wind turbine reaches a built-in warning value, deflects the wind turbine once according to the built-in deflection interval, and counts the speed of the blades during the deflection process to obtain a first speed change value; determines the true wind direction of the natural wind based on the first speed change value, establishes a data relationship between the blades and the yaw angle of the wind turbine based on the true wind direction of the natural wind, and determines the optimal adjustment data of the blades and the deflection angle of the yaw motor in the wind turbine based on the data relationship;

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

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

[0043] 1. The position state between the current wind turbine and the wind direction is determined by using the wind vane. When the wind turbine is facing the wind direction, the safety of the wind turbine speed is judged to determine whether early warning measures need to be taken to ensure the safety of the wind turbine. When it is determined that early warning measures need to be taken, the wind turbine is deflected once by using the built-in deflection range. The true wind direction of the natural wind is determined based on the actual blade speed after deflection and the theoretical blade speed. The force of the natural wind on the blades and the force on the yaw of the wind turbine can be determined based on the true wind direction of the natural wind. The optimal adjustment data of the blades and the optimal deflection angle of the wind turbine are determined based on the force of the natural wind on the blades and the force on the yaw of the wind turbine. This improves the wind turbine's wind power conversion rate while reducing the impact of natural wind on the wind turbine and improving the energy storage efficiency of the wind turbine.

[0044] 2. By using the wind power conversion coefficient to determine the wind power data received by the wind turbine before adjustment, and then determining the offset angle between the wind direction and the wind turbine based on the wind direction data, and then determining the wind power data when the wind turbine is facing the natural wind based on the offset angle, the wind power resistance received by the wind turbine when adjusting the corresponding offset angle is clarified, and then the kinetic energy data required for adjustment is determined based on the wind resistance. Then, based on the second wind power data, the power generation efficiency of the wind turbine in converting wind power into electricity before adjustment and the power generation efficiency after adjustment are determined. Then, the power generation efficiency before adjustment and the power generation efficiency after adjustment are evaluated to determine the time period required to make up for the kinetic energy data required for adjustment. Then, whether adjustment is required is determined based on the time period, thereby avoiding unnecessary adjustment, reducing resource waste, and improving the energy storage efficiency of the wind turbine.

[0045] 3. Comprehensively utilize the deflection interval to determine the theoretical speed value of the wind turbine during the deflection process. At the same time, by collecting the actual speed value and determining the true wind direction of the natural wind based on the theoretical speed and the actual speed, the adjustment value obtained by analysis when adjusting the wind turbine is more reliable. By utilizing the true wind direction of the natural wind, the action surface of the natural wind on the wind turbine is determined, thereby determining the adjustment range of the wind turbine, and dynamically balancing the speed of the wind turbine and the impact of the wind turbine based on the adjustment range, so that the optimal adjustment angle data of the wind turbine blades and the optimal adjustment angle of the yaw motor are selected, which can reduce the impact 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a flowchart of the steps of the wind power energy storage optimization scheduling method according to this embodiment;

[0047] Figure 2 This is a module block diagram of the wind power energy storage optimization scheduling system in this embodiment.

[0048] Figure numerals: 1. Wind direction judgment module; 2. First analysis module; 3. Second analysis module; 4. Adjustment module. DETAILED DESCRIPTION

[0049] The following is combined with Figure 1-Figure 2 This application is described in further detail.

[0050] The embodiments of the present application disclose a method and system for optimizing the scheduling of wind power energy storage.

[0051] Example: Figure 1 As shown, the present invention provides a method for optimizing and dispatching wind power energy storage, comprising:

[0052] S1, collecting natural wind based on the 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 a position facing the wind direction;

[0053] S2, if the wind turbine is not in a position facing the wind direction, obtaining the speed data of the wind turbine, determining the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determining whether to adjust the wind turbine based on the energy consumption during the deflection adjustment;

[0054] S3, if the wind turbine is in a position facing 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 warning value, the wind turbine is deflected once according to the built-in deflection interval, and the speed of the blades during the deflection process is counted to obtain a first speed change value; the speed change rate refers to when the natural wind changes and the speed of the wind turbine needs to be counted, the current state of the wind turbine is fixed, and the speed of the wind turbine after the state is fixed is collected and counted, so as to determine the speed change rate of the wind turbine.

[0055] S4, determining a true wind direction of the natural wind based on the first speed change value, establishing a data relationship between the blades and the yaw angle of the wind turbine according to the true wind direction of the natural wind, and determining optimal adjustment data for the blades and the deflection angle of the yaw motor in the wind turbine according to the data relationship;

[0056] S5 , adjusting the blades and the yaw motor based on the optimal adjustment data of the blades and the deflection angle of the yaw motor.

[0057] In this embodiment, the position state between the current wind turbine and the wind direction is determined by using a wind vane. When it is in the facing position, the safety of the wind turbine rotation speed is judged to determine whether early warning measures need to be taken to ensure the safety of the wind turbine. When it is determined that early warning measures need to be taken, the wind turbine is deflected once by using the built-in deflection range, so that the true wind direction of the natural wind is determined according to the actual blade rotation speed and the theoretical blade rotation speed after the deflection, and then the force of the natural wind on the blade and the force on the yaw of the wind turbine can be determined according to the true wind direction of the natural wind. Then, according to the force of the natural wind on the blade and the force on the yaw of the wind turbine, the optimal adjustment data of the blade and the optimal deflection angle of the wind turbine are determined, which improves the wind power conversion rate of the wind turbine while reducing the impact of the natural wind on the wind turbine, thereby improving the energy storage efficiency of the wind turbine.

[0058] For example, by using a wind vane to collect natural wind, the wind direction can be determined, and the current state of the wind turbine can be determined by the wind direction. If the current state of the wind turbine is not facing the wind direction, it is first adjusted to face it, and then the wind turbine is adjusted again after facing it.

[0059] When a wind turbine is facing the wind, it first determines whether the current wind force poses a danger to the turbine, for example, whether it will overload the turbine. If it is determined that an overload will occur, the turbine's safety is prioritized to reduce the possibility of an overload. If it is determined that an overload will not occur, the true wind direction is determined by using the force of the wind on the blades. For example, if the wind flows from bottom to top, the corresponding wind direction can still be detected when passing the wind vane, but the detected wind direction is horizontal, not vertical.

[0060] After determining the true wind direction of the natural wind, the true force of the natural wind on the wind turbine is determined based on the horizontal direction, and then the adjustment angle of the blades and the yaw angle of the wind turbine are determined according to the true force, so that the impact of the natural wind on the wind turbine is minimized and the blades have the best conversion effect on the natural wind, so that the wind energy storage can be maximized under the same natural wind action.

[0061] In step S2, if the wind turbine is not directly facing the wind direction, the speed data of the wind turbine is obtained, the energy consumption of the wind turbine during deflection adjustment is determined based on the wind direction data and the speed data, and whether the wind turbine is to be adjusted is determined based on the energy consumption during deflection adjustment, including the following steps:

[0062] S21, collecting statistics on the speed of the wind turbine to obtain speed data;

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

[0064] S23, determining an offset angle between the wind direction and the wind turbine based on the wind direction data and the current position data of the wind turbine, and calculating the wind force data based on the offset angle to estimate the wind force data received by the wind turbine when it faces the wind direction, thereby obtaining second wind force data;

[0065] S24, obtaining initial kinetic energy consumption data of the wind turbine, and determining the kinetic energy consumption when the wind turbine is adjusted to face the wind direction based on the initial kinetic energy consumption data and the second wind force data, to obtain adjusted kinetic energy consumption data.

[0066] S25, determining a maximum theoretical rotational speed of the wind turbine based on the second wind power data and a maximum wind power conversion coefficient built into the wind turbine;

[0067] S26, making a safety judgment on the maximum theoretical speed. If the maximum theoretical speed is within the built-in warning value, the maximum theoretical speed is determined to be safe, and based on the built-in electric energy conversion coefficient and kinetic energy conversion coefficient, the time data required for the wind turbine to produce the adjusted kinetic energy consumption data is determined; wherein the time data is the ratio between the kinetic energy difference generated by the adjusted wind force and the unadjusted wind force after the wind turbine is adjusted and the kinetic energy consumption data.

[0068] S27, judging the stability of the wind force change according to the duration data, if the wind force change is stable, adjusting the wind turbine according to the wind direction data, otherwise, no adjustment is performed.

[0069] In this embodiment, the wind force data received by the wind turbine before adjustment is determined by utilizing the wind force conversion coefficient, and then the offset angle between the wind direction and the wind turbine is determined based on the wind direction data, and the wind force data when the wind turbine is facing the natural wind is determined based on the offset angle, thereby clarifying the wind force resistance received by the wind turbine when adjusting the corresponding offset angle, and then determining the kinetic energy data required for adjustment based on the wind resistance, and then determining the power generation efficiency of the wind turbine before adjustment to convert wind force into electricity and the power generation efficiency after adjustment based on the second wind force data, and then evaluating the time period required to compensate for the kinetic energy data required for adjustment based on the power generation efficiency before adjustment and the power generation efficiency after adjustment, and then determining whether adjustment is required based on the time period, thereby avoiding unnecessary adjustment, reducing resource waste, and improving the energy storage efficiency of the wind turbine.

[0070] For example, when a wind turbine is not directly facing the wind, the turbine's speed data is first collected. The wind turbine's wind force conversion coefficient is then determined based on the current blade angle. For example, y = ax, where x is the wind force, a is the conversion coefficient, and y is the speed. This means that when the conversion coefficient remains constant, the greater the wind force, the faster the speed. Similarly, when the speed and conversion coefficient are known, the corresponding wind force can be estimated. This wind force is the force exerted by the natural wind to propel the blades.

[0071] Based on the decomposition of force, assuming that the offset angle reflected by the wind direction data is 60°, the trigonometric function formula can be used to calculate the corresponding wind force in the positive direction. For example, the current assessed wind force is 10. The trigonometric function formula can be used to assess that the wind force received by the wind turbine when facing the wind direction is twice the current one, so the assessed wind force when facing the wind direction is 20, which is the true wind force of the natural wind.

[0072] Since there is an angle between the direction of the natural wind and the current position of the wind turbine, the wind turbine is subjected to not only the force used to push the blades to rotate but also the force used to hinder the deflection of the wind turbine. Therefore, when the wind turbine performs yaw motor adjustment, in addition to the kinetic energy required to counteract the movement of the wind turbine itself, it is also necessary to counteract the force of the wind on the wind turbine.

[0073] Therefore, after the wind direction deflects, it is necessary to determine whether the current deflected wind direction and wind force are worthy of the wind turbine to make corresponding deflection adjustments. By calculating the conversion results of the wind turbine converting wind force into electricity before and after the adjustment, and then calculating the kinetic energy consumption required for the adjustment, it is clear how long it will take for the electricity produced by the wind turbine to offset the kinetic energy consumption during the adjustment, and then determine whether to make adjustments, thereby improving the accuracy of the adjustment.

[0074] In step S27, the stability of the wind force change is judged according to the duration data. If the wind force change is stable, the wind turbine is adjusted according to the wind direction data; otherwise, no adjustment is performed. The steps include:

[0075] S271, judging the duration data, and if the duration data is less than or equal to a built-in first duration threshold, adjusting the wind turbine according to the wind direction data;

[0076] S272: If the duration data is greater than a first built-in duration threshold and less than a second built-in duration threshold, then a stability determination is performed on the wind speed change;

[0077] S273, based on the current geographical location of the wind turbine, statistics are collected on the wind direction data and wind force data of the wind vanes of other wind turbines around the wind turbine to obtain wind force information; wherein, the other wind turbines around the wind turbine refer to statistics collected on the wind direction data and wind force data of the wind vanes of all wind turbines within a built-in radius interval.

[0078] S274, judging the wind force information based on the wind direction pulsation 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, the wind turbine is adjusted according to the wind direction data; otherwise, the wind turbine is not adjusted;

[0080] S276: If the duration data is greater than the second duration threshold, the wind turbine is not adjusted.

[0081] In this embodiment, the risk of power loss when adjusting the wind turbine is determined by comparing the first duration threshold and the second duration threshold of the duration data. When the duration data is less than the first duration threshold, it indicates that the risk supports the adjustment of the wind turbine. When the duration data is greater than the second duration threshold, it indicates that the wind direction does not support the adjustment of the wind turbine. When the duration data is between the first duration threshold and the second duration threshold, the wind force information is judged by using the wind direction pulsation standard deviation method, thereby judging the stability of the natural wind, 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 natural wind is not stable, when the direction of natural wind changes, the less energy is consumed for adjustment, the greater the corresponding benefit generated after the adjustment. On the contrary, when the energy consumed for adjustment is too large, the time required to make up for the loss after adjustment is too long. In this case, the direction of natural wind may change again when making up for the loss in consumption data, resulting in the energy storage of the wind turbine after adjustment not only not increasing but decreasing. Therefore, it is necessary to determine whether compensation is needed based on the time required to make up.

[0083] When the duration data is less than the first duration threshold, it indicates that the energy consumed by the adjustment can be quickly compensated, so adjustment can be performed. If the duration data is greater than the second duration threshold, it indicates that the risk of adjusting the wind turbine is greater, so no adjustment is performed.

[0084] When the duration data is between the first duration threshold and the second duration threshold, it indicates that the risk required for adjustment is within an acceptable range, but the stability of natural wind needs to be re-judged to further improve the accuracy of the adjustment judgment.

[0085] By using the existing wind direction pulsation standard deviation method to collect and analyze the corresponding wind information, it is determined whether the natural wind in the area is stable. If it is stable, it will be adjusted, otherwise it will not be adjusted.

[0086] In step S3, if the wind turbine is in a position facing 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 a built-in warning value, the wind turbine is deflected once according to the built-in deflection interval, and the speed of the blades during the deflection process is counted to obtain a first speed change value. The steps include:

[0087] S31, when it is determined that the speed change rate of the wind turbine needs to be determined, obtain the device parameters of the wind turbine, keep the device parameters unchanged, perform statistics on the speed of the wind turbine, determine the relationship between the speed of the wind turbine and time, and obtain the speed change rate;

[0088] S32, integrating the speed change rate to obtain the maximum speed value that can be achieved by the current wind force under the current equipment parameters, and judging the built-in warning value based on the maximum speed value to determine whether the maximum speed value is greater than the built-in warning value.

[0089] For example, when the wind turbine is in a position directly facing the wind direction, in order to maximize the wind turbine's conversion rate to wind power and reduce the force of natural wind on the wind turbine, it is necessary to judge the true wind direction of the natural wind. Before judging the true wind direction of the natural wind, it is necessary to judge the danger of the current wind force to the wind turbine. By determining whether the wind force will cause the wind turbine to overload while keeping the equipment parameters of the wind turbine unchanged, the impact of the current wind force on the wind turbine can be determined.

[0090] As the wind pushes the blades to rotate, as the blade speed increases, the energy generated by the wind reaches a dynamic balance with the blade speed, that is, the rate of change of the blade speed gradually changes from fast to slow. Therefore, a curve of the change between the blade speed and time is obtained through statistics. By integrating this curve, the maximum speed value of the blade when the wind and the wind turbine blade reach a dynamic balance can be calculated. The theoretical maximum speed value is compared with the warning value in the wind turbine safety system to determine whether the current wind force is dangerous to the wind turbine.

[0091] In step S4, the true wind direction of the natural wind is determined based on the first speed change value, and a data relationship between the blades and the yaw angle of the wind turbine is established according to the true wind direction of the natural wind, and the optimal adjustment data of the blades 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, determining a force change on the blade during the deflection process based on the deflection interval and the first wind force data, and obtaining first force change data;

[0093] S412, converting the first force change data into a rotational speed to obtain a theoretical rotational speed value, and determining an additional force based on the theoretical rotational speed value and the first rotational speed change value;

[0094] S413: Determine the true wind direction of the natural wind according to the additional force and the first wind force data.

[0095] S42, based on the actual wind direction of the natural wind, determining the surface of the natural wind acting on the wind turbine, and determining, based on the surface of the natural wind, the deflection range when the surface of the natural wind is at its maximum and when the surface of the natural wind is at its minimum;

[0096] S43, determining, based on the deflection range, a force for hindering the yaw of the wind turbine and a force for driving the blades to rotate at different deflection angles;

[0097] S44: Determine the maximum speed of the wind turbine blades at different deflection angles based on the force used to propel the blades, and compare the maximum speed with the warning value to select the optimal adjustment data and wind turbine deflection angle. Specifically, the maximum speed that can be achieved without considering an alarm caused by excessive speed is determined based on the force used to propel the blades. The maximum speed is compared with a built-in warning value. If the maximum speed is greater than the warning value, the adjustment data corresponding to the warning value is determined based on the warning value. If the maximum speed is less than the warning value, the adjustment data corresponding to the maximum speed is determined based on the maximum speed.

[0098] In this embodiment, the theoretical speed value of the wind turbine during the deflection process is determined by utilizing the deflection interval, and at the same time, the actual speed value is collected, and the true wind direction of the natural wind is determined based on the theoretical speed and the actual speed, so that the adjustment value analyzed when adjusting the wind turbine is more reliable. By utilizing the true wind direction of the natural wind, the action surface of the natural wind on the wind turbine is determined, thereby determining the adjustment range of the wind turbine, and dynamically balancing the speed of the wind turbine and the impact of the wind turbine based on the adjustment range, so that the optimal adjustment angle data of the wind turbine blades and the optimal adjustment angle of the yaw motor are selected, which can reduce the impact of the natural wind on the wind turbine while maintaining the power generation efficiency of the wind turbine and improve the energy storage efficiency of the wind turbine.

[0099] For example, when determining the true wind direction of the natural wind, if the true wind direction of the natural wind is parallel to the ground, then when the wind turbine deflects in the corresponding deflection interval, the rotational speed of the wind turbine blades is only affected by the force in the horizontal direction, and the actual collected rotational speed change is the same as the actual rotational speed change. If they are different, it indicates that there is an angle between the true wind direction of the natural wind and the ground. Therefore, when it is determined that there is an angle between the true wind direction of the natural wind and the ground, when the wind turbine deflects in the corresponding deflection interval, the wind turbine blades will be subjected to additional force, which may increase the blade rotational speed or reduce the blade rotational speed. Therefore, by determining the difference between the theoretical rotational speed value and the actual first rotational speed change value, the magnitude of the additional force exerted on the blades at different deflection angles is determined, and then the additional force is judged, and the direction of the composite force is determined based on the additional force and the first wind force data, and then the true wind direction of the natural wind is determined.

[0100] After determining the true wind direction of the natural wind, the surface of action of the natural wind on the wind turbine in the vertical direction is determined, and then the adjustment range of the wind turbine is determined based on the surface of action. When the surface of action is the largest, it indicates that the natural wind has the greatest impact on the wind turbine. When the surface of action is the smallest, it indicates that the natural wind has the least impact on the wind turbine. At the same time, when the surface of action is the largest, the rotation speed of the blades can reach the maximum without considering safety. When the surface of action is the smallest, the rotation speed of the blades reaches the minimum.

[0101] At the same time, since the current wind force can make the blade speed reach the warning value, if the deflection adjustment is not performed, the wind turbine needs to adjust the parameters, such as the brake system, to ensure that the blade speed is within a safe range. Therefore, by adjusting the deflection of the wind turbine, it can not only reduce the impact of natural wind on the wind turbine, but also ensure the power generation efficiency of the wind turbine and improve the energy storage efficiency of the wind turbine.

[0102] Based on the description of the above embodiment of the method for optimizing and dispatching wind power energy storage, the embodiment of the present invention further discloses a system for optimizing and dispatching wind power energy storage:

[0103] like Figure 2 As shown, a system for optimizing and dispatching wind power energy storage, by applying the above-mentioned method for optimizing and dispatching wind power energy storage, comprises: a wind direction judgment module 1, a first analysis module 2, a second analysis module 3 and a regulation module 4;

[0104] Wind direction judgment module 1 collects natural wind based on the 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 a position facing the wind direction;

[0105] The first analysis module 2 obtains the speed data of the wind turbine if the wind turbine is not directly facing the wind direction, determines the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determines whether to adjust the wind turbine based on the energy consumption during the deflection adjustment;

[0106] The second analysis module 3, if the wind turbine is in a position facing the wind direction, then 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 warning value, the wind turbine is deflected once according to the built-in deflection interval, and the speed of the blades during the deflection process is counted to obtain a first speed change value; based on the first speed change value, the true wind direction of the natural wind is determined, and a data relationship between the blades and the yaw angle of the wind turbine is established according to the true wind direction of the natural wind, and the optimal adjustment data of the blades and the deflection angle of the yaw motor in the wind turbine are determined based on the data relationship;

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

[0108] Compared with the existing methods and systems for optimizing the dispatching of wind power energy storage, the present invention improves the energy storage efficiency of wind turbines.

[0109] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A method for optimizing the dispatch of wind power energy storage, characterized in that: include: 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 a position facing the wind direction; Step S2: If the wind turbine is not facing the wind direction, obtain the speed data of the wind turbine, determine the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determine whether to adjust the wind turbine based on the energy consumption during deflection adjustment; Step S3: If the wind turbine is directly facing 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 a built-in warning value, the wind turbine is deflected once according to the built-in deflection interval, and the speed of the blades during the deflection process is counted to obtain a first speed change value. Step S4, determining the true wind direction of the natural wind based on the first speed change value, establishing a data relationship between the blades and the yaw angle of the wind turbine according to the true wind direction of the natural wind, and determining optimal adjustment data for the blades and the deflection angle of the yaw motor in the wind turbine according to the data relationship; Step S5: adjusting the blades and the yaw motor based on the optimal adjustment data of the blades and the deflection angle of the yaw motor.

2. The method for optimizing and dispatching wind power energy storage according to claim 1, characterized in that: Step S2 is specifically as follows: Step S21, collecting statistics on the speed of the wind turbine to obtain speed data; Step S22, obtaining a wind power conversion coefficient of the wind turbine, and determining wind power data corresponding to the current rotation speed data according to the wind power conversion coefficient to obtain first wind power data; Step S23, determining the offset angle between the wind direction and the wind turbine based on the wind direction data and the current position data of the wind turbine, and calculating the wind force data based on the offset angle to estimate the wind force data received by the wind turbine when it faces the wind direction, thereby obtaining second wind force data; Step S24 , obtaining initial kinetic energy consumption data of the wind turbine, and determining the kinetic energy consumption when the wind turbine is adjusted to face the wind direction based on the initial kinetic energy consumption data and the second wind force data, to obtain adjusted kinetic energy consumption data.

3. The method for optimizing and dispatching wind power energy storage according to claim 3, characterized in that: Step S2 further includes: Step S25, determining the maximum theoretical speed of the wind turbine based on the second wind power data and the maximum wind power conversion coefficient built into the wind turbine; Step S26: Perform a safety assessment on the maximum theoretical speed. If the maximum theoretical speed is within the built-in warning value, the maximum theoretical speed is determined to be safe. The time required for the wind turbine to produce the adjusted kinetic energy consumption data is determined based on the built-in electric energy conversion coefficient and kinetic energy conversion coefficient. Step S27: judging the stability of the wind force change according to the duration data; if the wind force change is stable, adjusting the wind turbine according to the wind direction data; otherwise, no adjustment is performed.

4. The method for optimizing and dispatching wind power energy storage according to claim 3, characterized in that: Step S27 is specifically as follows: The duration data is judged, and if the duration data is less than or equal to the built-in first duration threshold, the wind turbine is adjusted according to the wind direction data; If the duration data is greater than the built-in first duration threshold and less than the built-in second duration threshold, the stability of the wind speed change is judged; Based on the current geographical location of the wind turbine, the wind direction data and wind force data of the wind vanes of other wind turbines around the wind turbine are collected to obtain wind force information; The wind force information is judged based on the wind direction pulsation standard deviation method to determine whether the wind force and wind direction at the location of the wind turbine are stable; If it is determined that the wind force and wind direction at the location 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 duration data is greater than the second duration threshold, the wind turbine is not adjusted.

5. The method for optimizing and dispatching wind power energy storage according to claim 4, characterized in that: Step S3 is specifically as follows: When it is determined that the speed change rate of the wind turbine is required to be determined, the device parameters of the wind turbine are obtained and fixed, the speed of the wind turbine is statistically analyzed, the relationship between the speed of the wind turbine and time is determined, and the speed change rate is obtained; The speed change rate is integrated to obtain the maximum speed value that can be achieved by the current wind force under the current equipment parameters, and the built-in warning value is judged based on the maximum speed value to determine whether the maximum speed value is greater than the built-in warning value.

6. The method for optimizing and dispatching wind power energy storage according to claim 5, characterized in that: Step S4 is specifically as follows: Step S411, determining a force change of the blade during the deflection process based on the deflection interval and the first wind force data, and obtaining first force change data; Step S412, converting the first force change data into a rotational speed to obtain a theoretical rotational speed value, and determining an additional force based on the theoretical rotational speed value and the first rotational speed change value; Step S413: determining the true wind direction of the natural wind according to the additional force and the first wind force data.

7. The method for optimizing and dispatching wind power energy storage according to claim 6, characterized in that: Step S4 is specifically as follows: Step S42, based on the actual wind direction of the natural wind, determining the surface of the natural wind acting on the wind turbine, and determining the deflection range when the surface of the natural wind is at its maximum and when the surface of the natural wind is at its minimum. Step S43, determining the force for hindering the yaw of the wind turbine and the force for driving the blades to rotate at different deflection angles based on the deflection range; Step S44: determining the maximum rotation speed of the wind turbine blades at different deflection angles based on the force used to drive the blades to rotate, and comparing the maximum rotation speed with the warning value to select the best adjustment data and deflection angle of the wind turbine.

8. The method for optimizing and dispatching wind power energy storage according to claim 7, characterized in that: Step S44 is specifically as follows: The maximum speed that can be achieved without causing an alarm due to excessive speed is determined based on the force that drives the blades to rotate; Compare the maximum speed with the built-in warning value. If the maximum speed is greater than the warning value, determine the adjustment data corresponding to the warning value 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 optimization scheduling system, characterized in that: The system is used to implement a method for optimizing the dispatch of wind power energy storage according to any one of claims 1 to 8, comprising: a wind direction judgment module, a first analysis module, a second analysis module, and a regulation module; The wind direction judgment module collects natural wind based on the 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 a position facing the wind direction; The first analysis module obtains the speed data of the wind turbine if the wind turbine is not directly facing the wind direction, determines the energy consumption of the wind turbine when performing deflection adjustment based on the wind direction data and the speed data, and determines whether to adjust the wind turbine based on the energy consumption during deflection adjustment; The second analysis module, if the wind turbine is in a position facing the wind direction, counts the speed of the wind turbine to determine the speed change rate; if the speed change rate of the wind turbine reaches a built-in warning value, deflects the wind turbine once according to the built-in deflection interval, and counts the speed of the blades during the deflection process to obtain a first speed change value; determines the true wind direction of the natural wind based on the first speed change value, establishes a data relationship between the blades and the yaw angle of the wind turbine based on the true wind direction of the natural wind, and determines the optimal adjustment data of the blades and the deflection angle of the yaw motor in the wind turbine based on the data relationship; The adjustment module adjusts the blades and the yaw motor based on the optimal adjustment data of the blades and the deflection angle of the yaw motor.

Images