CN116739313B - Wind farm layout method, device, equipment and medium considering wake flow control - Google Patents
Wind farm layout method, device, equipment and medium considering wake flow control Download PDFInfo
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Abstract
The invention relates to the technical field of wind power generation and discloses a wind farm layout method, device, equipment and medium considering wake flow control, wherein the method comprises the steps of obtaining wind condition data in a target wind farm and current wind turbine position coordinates, calculating wind farm generated energy considering wake flow effect influence, performing iterative optimization on the current wind turbine position coordinates, and generating optimized wind turbine position coordinates; calculating the generated energy of the wind power plant considering the influence of wake effects in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the current wind turbine yaw angle, performing iterative optimization on the current wind turbine yaw angle, and generating an optimized wind turbine yaw angle; performing iterative optimization on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine to generate target wind power plant layout information; the method can further reduce the influence of wake effect on the power generation capacity of the wind power plant and improve the power generation level of the wind power plant.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a wind farm layout method, device, equipment and medium considering wake flow control.
Background
In the field of wind power generation, wake effects can obviously reduce the generated energy of a wind power plant; the current method for reducing the influence of wake effects on the generating capacity of a wind power plant mainly adopts a microcosmic site selection method to perform arrangement optimization on the positions of all wind turbines in the planning and design stage of the wind power plant, so that the influence of wake effects is reduced; or in the operation management stage of the wind power plant, adopting a wake flow control method, enabling wake flows to deflect through yaw of the wind turbine, reducing wake flow influence of the wind turbine originally positioned in a wake flow area, and further improving the generated energy of the wind power plant; however, the two methods are independently carried out at two different stages of the wind farm, and the effect of reducing the influence of wake effects to the greatest extent is not achieved; therefore, how to further reduce the influence of wake effects on the power generation capacity of the wind power plant and improve the power generation level of the wind power plant becomes a technical problem to be solved urgently.
Disclosure of Invention
In view of the above, the invention provides a wind farm layout method, device, equipment and medium considering wake control, so as to solve the problem of how to further reduce the influence of wake effect on the power generation capacity of the wind farm and improve the power generation level of the wind farm.
In a first aspect, the present invention provides a wind farm layout method taking wake control into account, comprising: acquiring wind condition data and current wind turbine position coordinates in a target wind power plant, and calculating wind power plant generating capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates; iteratively optimizing the position coordinates of the current wind turbine based on the generated energy of the wind power plant considering the influence of wake effects, and generating optimized position coordinates of the wind turbine; acquiring a current yaw angle of the wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the current yaw angle of the wind turbine; iteratively optimizing the yaw angle of the current wind turbine based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating an optimized yaw angle of the wind turbine; and carrying out iterative optimization on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine to generate target wind power plant layout information.
According to the wind power plant layout method considering wake control, optimization of yaw angles of wind turbines is added in the process of arranging and optimizing the position coordinates of the wind turbines in the wind power plant, iterative optimization is conducted on the position coordinates of the current wind turbines and the yaw angles of the current wind turbines respectively, iterative optimization is conducted on the position coordinates of the optimized wind turbines and the yaw angles of the optimized wind turbines, step-by-step optimization of the position coordinates of the wind turbines and the yaw angles of the wind turbines is conducted three times, target wind power plant layout information with better comprehensive performance of the position coordinates of the wind turbines and the yaw angles of the wind turbines is generated, and the influence of wake effects on the generated energy of the wind power plant can be further reduced by considering the wake control method in the wind power plant layout, so that the power generation level of the wind power plant is improved.
In an alternative embodiment, based on wind farm power generation taking wake effect into account, iteratively optimizing current wind turbine position coordinates to generate optimized wind turbine position coordinates, comprising: comparing the generated energy of the wind power plant, which is influenced by the wake effect, with a first termination condition, and when the generated energy of the wind power plant, which is influenced by the wake effect, does not accord with the first termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the generated energy of the wind power plant, which is influenced by the wake effect, accords with the first termination condition, and generating the optimized position coordinates of the wind turbines.
According to the wind power plant layout method considering wake flow control, the first termination condition is set as the condition of jumping out of iterative optimization, so that the situation that calculation amount is too large due to the constant iterative optimization is avoided, and efficiency and practical application requirements are considered.
In an alternative embodiment, calculating wind farm power generation taking into account wake effects based on wind condition data and current wind turbine position coordinates comprises: determining the inflow wind speed of the wind turbine considering the influence of wake effects based on the current wind turbine position coordinates; determining a wind turbine power taking into account wake effects based on a wind turbine inflow wind speed taking into account wake effects; acquiring wind turbine data, and calculating the generated energy of a wind power plant considering the influence of the wake effect based on the wind turbine power considering the influence of the wake effect, wind condition data and the wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data includes the number of wind turbines, wind turbine cut-in wind speed, and wind turbine cut-out wind speed.
According to the wind power plant layout method considering wake control, which is provided by the embodiment, the wake control method is considered in the calculation of the generated energy of the wind power plant, so that the calculation accuracy of the generated energy of the wind power plant is improved on one hand; on the other hand, the generated energy of the wind power plant, which is influenced by the wake effect, can be used as an objective evaluation index for determining the layout of the wind power plant, so that the rationality of the layout of the wind power plant is improved.
In an alternative embodiment, the wind farm power generation amount taking into account the wake effect is calculated based on the wind turbine power taking into account the wake effect, the wind condition data and the wind turbine data, and the wind farm power generation amount taking into account the wake effect is calculated as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Represents the probability distribution of the wind speed and the wind direction of the incoming flow,representing wind turbine power taking into account wake effects, < >>Representing wind turbine inflow wind speed taking wake effect into account,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
According to the wind power plant layout method considering wake control, the calculation formula of the wind power plant generated energy considering the influence of the wake effect can intuitively and accurately reflect the influence factors of the wind power plant generated energy considering the influence of the wake effect and the correlation among the physical quantities, and the objectivity and the reliability of the wind power plant generated energy considering the influence of the wake effect as a wind power plant layout evaluation index are improved; meanwhile, the wake effect is considered in the calculation of the generated energy of the wind power plant, so that the accuracy of the calculation of the generated energy of the wind power plant is improved.
In an alternative embodiment, the method further comprises iteratively optimizing the current wind turbine position coordinates based on the wind farm power generation taking into account wake effects, generating optimized wind turbine position coordinates, and further comprising: acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed; calculating the generated energy of the wind power plant without considering the influence of the wake effect based on the wind power, wind condition data and wind power data without considering the influence of the wake effect; calculating an influence value of the first wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect and the generated energy of the wind power plant not considering the influence of the wake effect; and comparing the influence value of the first wake flow on the generated energy with a second termination condition, and when the influence value of the first wake flow on the generated energy does not accord with the second termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the influence value of the first wake flow on the generated energy accords with the second termination condition, and generating optimized wind power plant layout information.
According to the wind power plant layout method considering wake flow control, the influence value of the first wake flow on the generated energy is used as an objective evaluation index for determining the wind power plant layout, and the second termination condition is set as a condition for jumping out of iterative optimization, so that the situation that the calculated amount is overlarge due to the iterative optimization all the time is avoided, and efficiency and practical application requirements are considered.
In an alternative embodiment, based on the wind farm power generation amount considering the wake effect influence and the wind farm power generation amount not considering the wake effect influence, the influence value of the first wake on the power generation amount is calculated, and the calculation formula of the influence value of the first wake on the power generation amount is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
According to the wind power plant layout method considering wake flow control, the calculation formula of the influence value of the first wake flow on the generated energy can intuitively and accurately reflect the influence factor of the influence value of the first wake flow on the generated energy and the correlation among the physical quantities, and the objectivity and reliability of the influence value of the first wake flow on the generated energy serving as the evaluation index for determining the wind power plant layout are improved.
In an alternative embodiment, iteratively optimizing a current wind turbine yaw angle based on a wind farm power generation amount taking into account wake effects in a yaw state of the wind turbine, generating an optimized wind turbine yaw angle, comprising: comparing the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, with a third termination condition, and when the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, is not in accordance with the third termination condition, performing iterative optimization on the yaw angle of the wind power machine in the wind power plant until the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, is in accordance with the third termination condition, and generating the optimized yaw angle of the wind power machine.
According to the wind power plant layout method considering wake flow control, the third termination condition is set as the condition of jumping out of iterative optimization, so that the situation that calculation amount is too large due to the constant iterative optimization is avoided, and efficiency and practical application requirements are considered.
In an alternative embodiment, calculating the wind farm power generation taking into account wake effects in yaw conditions of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and current wind turbine yaw angle comprises: determining wind turbine inflow wind speed considering influence of wake effect in yaw state of the wind turbine based on the optimized wind turbine position coordinates and current wind turbine yaw angle; determining wind turbine power taking into account wake effects in a yaw state of the wind turbine based on wind turbine inflow wind speeds taking into account wake effects in the yaw state of the wind turbine; acquiring wind turbine data, and calculating the generated energy of a wind power plant considering the influence of the wake effect in the yaw state of the wind turbine based on the wind turbine power considering the influence of the wake effect in the yaw state of the wind turbine, wind condition data and wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data includes the number of wind turbines, wind turbine cut-in wind speed, and wind turbine cut-out wind speed.
According to the wind power plant layout method considering wake control, wake effect influence in a yaw state of a wind turbine is considered in calculation of the generated energy of the wind power plant, so that the accuracy of calculation of the generated energy of the wind power plant is improved; on the other hand, the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the wind turbine, can be used as an objective evaluation index for determining the layout of the wind power plant, so that the rationality of the layout of the wind power plant is improved.
In an alternative embodiment, the wind farm power generation amount considering the wake effect in the yaw state of the wind turbine is calculated based on the wind turbine power considering the wake effect in the yaw state of the wind turbine, wind condition data and wind turbine data, and the wind farm power generation amount considering the wake effect in the yaw state of the wind turbine is calculated as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking into account wake effects in yaw state of wind turbine, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +. >Indicating wind turbine power, < >>Representing wind turbine inflow wind speed considering wake effect influence in yaw state of wind turbine, +.>And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
According to the wind power plant layout method considering wake control, the influence factors of the wind power plant generated energy influenced by the wake effect under the yaw state of the wind turbine and the correlation among the physical quantities can be intuitively and accurately reflected through the calculation formula of the wind power plant generated energy influenced by the wake effect under the yaw state of the wind turbine, so that the objectivity and the reliability of the wind power plant generated energy influenced by the wake effect under the yaw state of the wind turbine serving as the evaluation index for determining the wind power plant layout are improved; meanwhile, the influence of wake flow effect in the yaw state of the wind turbine is considered in calculation of the generated energy of the wind power plant, and the accuracy of calculation of the generated energy of the wind power plant is improved.
In an alternative embodiment, based on the wind farm power generation amount considering the wake effect in the yaw state of the wind turbine, performing iterative optimization on the current wind turbine yaw angle to generate an optimized wind turbine yaw angle, and further comprising: acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed; calculating the generated energy of the wind power plant without considering the influence of the wake effect based on the wind power, wind condition data and wind power data without considering the influence of the wake effect; calculating an influence value of the second wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect under the yaw state of the fan and the generated energy of the wind power plant not considering the influence of the wake effect; and comparing the influence value of the second wake flow on the generated energy with a fourth termination condition, and when the influence value of the second wake flow on the generated energy does not accord with the fourth termination condition, performing iterative optimization on the yaw angle of the wind turbine in the wind power plant until the influence value of the second wake flow on the generated energy accords with the fourth termination condition, and generating the optimized yaw angle of the wind turbine.
According to the wind power plant layout method considering wake flow control, the influence value of the second wake flow on the generated energy is used as an objective evaluation index for determining the wind power plant layout, and the fourth termination condition is set as a condition for jumping out of iterative optimization, so that the situation that the calculated amount is overlarge due to the iterative optimization all the time is avoided, and efficiency and practical application requirements are considered.
In an alternative embodiment, based on the wind farm power generation amount considering the influence of the wake effect in the yaw state of the wind turbine and the wind farm power generation amount not considering the influence of the wake effect, the influence value of the second wake on the power generation amount is calculated, and the calculation formula of the influence value of the second wake on the power generation amount is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,indicating the value of the influence of the second wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
According to the wind power plant layout method considering wake flow control, the influence factors of the influence values of the second wake flow on the generated energy and the correlation among the physical quantities can be intuitively and accurately reflected through the calculation formula of the influence values of the second wake flow on the generated energy, and the objectivity and reliability of the influence values of the second wake flow on the generated energy serving as the evaluation indexes for determining the wind power plant layout are improved.
In an alternative embodiment, the iterative optimization of the optimized wind turbine position coordinates and the optimized wind turbine yaw angle generates target wind farm layout information, including: performing iterative optimization on the optimized position coordinates of the wind turbines and the optimized yaw angles of the wind turbines until the preset iterative times are reached, and generating a plurality of position coordinates of the wind turbines and a plurality of yaw angles of the wind turbines; selecting a wind turbine position coordinate and a wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant, and determining target wind power plant layout information according to the wind turbine position coordinate and the wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant; the maximum wind power generation amount is the wind power generation amount considering the influence of wake effect in the yaw state of the wind turbine.
According to the wind power plant layout method considering wake flow control, the yaw angle of the wind power machine is optimized in the process of arranging and optimizing the position coordinates of the wind power machine in the wind power plant, the wake flow control method is considered in the wind power plant layout, and gradual iteration is performed, so that the influence of wake flow effects on the generated energy of the wind power plant can be further reduced, the power generation level of the wind power plant is improved, and the rationality of the target wind power plant layout is improved.
In a second aspect, the present invention provides a wind farm layout arrangement for wake control, comprising: the first calculation module is used for acquiring wind condition data and current wind turbine position coordinates in the target wind power plant, and calculating wind power plant generating capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates; the first iteration module is used for carrying out iterative optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of the wake effect, and generating the optimized wind turbine position coordinate; the second calculation module is used for acquiring the yaw angle of the current wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect under the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the yaw angle of the current wind turbine; the second iteration module is used for carrying out iterative optimization on the yaw angle of the current wind turbine based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating an optimized yaw angle of the wind turbine; the first generation module is used for carrying out iterative optimization on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine to generate target wind power plant layout information.
In a third aspect, the present invention provides a computer device comprising: the wind farm layout method taking wake control into consideration according to the first aspect or any of the corresponding embodiments of the first aspect is implemented by the processor, and the memory is in communication with the processor, and the memory stores computer instructions.
In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon computer instructions for causing a computer to perform the wind farm layout method taking into account wake control of the above first aspect or any of its corresponding embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow diagram of a wind farm layout method that accounts for wake control, according to an embodiment of the invention;
FIG. 2 is a flow diagram of another wind farm layout method that takes wake control into account according to an embodiment of the invention;
FIG. 3 is a flow diagram of yet another wind farm layout method that takes wake control into account according to an embodiment of the invention;
FIG. 4 is a flow diagram of yet another wind farm layout method that takes wake control into account according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a conventional wind farm microscopic site selection and wake control method according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a wind farm microscopic site selection method that takes wake control into account in accordance with an embodiment of the present invention;
FIG. 7 is a block diagram of a wind farm layout arrangement that takes wake control into account according to an embodiment of the invention;
fig. 8 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The wind power plant layout method considering wake control provided by the specification can be applied to electronic equipment considering the wind power plant layout of wake control; the electronic device may include, but is not limited to, a notebook, desktop, mobile terminal, such as a cell phone, tablet, etc.; of course, the wind farm layout method taking wake control into consideration provided in the present specification can also be applied to an application program running in the above electronic device.
The wake effect is a phenomenon that when flowing through the wind turbine, the wind turbine absorbs a part of energy for generating electricity, so that the wind speed is reduced in a certain area range at the downstream of the wind turbine, and the corresponding area is called a wake area; a plurality of wind turbines are generally arranged in a wind power plant, so that the wind turbines are required to be prevented from being positioned in wake areas of adjacent wind turbines as much as possible, and further the influence of wake effects on the power generation capacity of the wind power plant is reduced.
At present, two methods for reducing the influence of wake effects on the generating capacity of a wind power plant are mainly adopted; in the planning and design stage of a wind power plant, a microscopic site selection method is adopted, and the positions of all wind turbines are arranged and optimized, so that the influence of wake flow effect is reduced; in the operation management stage of the wind power plant, a wake flow control method is adopted, the wake flow is deflected through yaw of the wind turbine, the influence of the wake flow on the wind turbine originally positioned in the wake flow area is reduced, and the generated energy of the wind power plant is further improved; however, the two methods are independently carried out at two different stages of the wind farm, and the effect of reducing the influence of wake effects to the greatest extent is not achieved; in practice, in the stage of microscopic site selection of the wind power plant, if optimization of yaw angles of the wind turbines is added in the process of arranging and optimizing the positions of the wind turbines, the influence of wake effects on the power generation capacity of the wind power plant can be further reduced by considering the wake control method in the microscopic site selection method, and the power generation level of the wind power plant is improved.
Based on the technical problems, the wind power plant layout method considering wake flow control is provided, and in the microscopic site selection stage of the wind power plant, the wind power plant yaw angle is optimized in the process of arranging and optimizing the wind power plant positions, so that the influence of wake flow effect on the power generation capacity of the wind power plant can be further reduced by considering the wake flow control method in the microscopic site selection method, and the power generation level of the wind power plant is improved.
In accordance with an embodiment of the present invention, there is provided an embodiment of a wind farm layout method that takes wake control into account, it being noted that the steps illustrated in the flow diagrams of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical order is illustrated in the flow diagrams, in some cases the steps illustrated or described may be performed in an order other than that herein.
In this embodiment, a wind farm layout method considering wake control is provided, which may be used in the above notebook, desktop computer, mobile terminal, such as mobile phone, tablet computer, etc., fig. 1 is a flowchart of a wind farm layout method considering wake control according to an embodiment of the present invention, as shown in fig. 1, the flowchart includes the following steps:
Step S101, wind condition data and current wind turbine position coordinates in a target wind power plant are obtained, and wind power plant generating capacity considering wake effect influence is calculated based on the wind condition data and the current wind turbine position coordinates.
Step S102, carrying out iterative optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of wake effect, and generating the optimized wind turbine position coordinate.
Specifically, comparing the generated energy of the wind power plant, which is influenced by the wake effect, with a first termination condition, and when the generated energy of the wind power plant, which is influenced by the wake effect, does not accord with the first termination condition, iteratively optimizing the position coordinates of the wind turbines in the wind power plant until the generated energy of the wind power plant, which is influenced by the wake effect, accords with the first termination condition, and generating the optimized position coordinates of the wind turbines.
Further, the first termination condition may be that the current wind farm power generation amount considering the wake effect influence is larger than the previous wind farm power generation amount considering the wake effect influence, and when the initial power generation amount of the wind farm is zero, comparison may be performed from the second iteration; the first termination condition may also be that the number of iterations exceeds a preset number; by setting the first termination condition as the condition of jumping out of iterative optimization, the condition that the calculation amount is overlarge is avoided from being constantly iterative optimization, and therefore efficiency and practical application requirements are considered.
Step S103, obtaining the yaw angle of the current wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the yaw angle of the current wind turbine.
Step S104, carrying out iterative optimization on the yaw angle of the current wind turbine based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating the optimized yaw angle of the wind turbine.
Comparing the generated energy of the wind power plant, which is influenced by the wake effect in the yaw state of the wind power plant, with a third termination condition, and when the generated energy of the wind power plant, which is influenced by the wake effect in the yaw state of the wind power plant, is not in accordance with the third termination condition, iteratively optimizing the yaw angle of the wind power plant in the wind power plant until the generated energy of the wind power plant, which is influenced by the wake effect in the yaw state of the wind power plant, is in accordance with the third termination condition, and generating the optimized yaw angle of the wind power plant.
Further, the third termination condition may be that the generated energy of the wind farm under the current consideration of the influence of the wake effect in the yaw state of the wind turbine is larger than the generated energy of the wind farm under the previous consideration of the influence of the wake effect in the yaw state of the wind turbine, or the iteration times exceeds the preset times; by setting the third termination condition as the condition for jumping out of iterative optimization, the condition that the calculation amount is overlarge due to constant iterative optimization is avoided, and therefore efficiency and practical application requirements are considered.
Step S105, iterative optimization is carried out on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine, and target wind power plant layout information is generated.
Specifically, the target wind farm layout information includes an arrangement of wind turbine position coordinates in the wind farm and an adjustment of a yaw angle of the wind turbine.
According to the wind power plant layout method considering wake control, optimization of yaw angles of wind turbines is added in the process of arranging and optimizing the position coordinates of the wind turbines in the wind power plant, iterative optimization is conducted on the position coordinates of the current wind turbines and the yaw angles of the current wind turbines respectively, iterative optimization is conducted on the position coordinates of the optimized wind turbines and the yaw angles of the optimized wind turbines, step-by-step optimization of the position coordinates of the wind turbines and the yaw angles of the wind turbines is conducted three times, target wind power plant layout information with better comprehensive performance of the position coordinates of the wind turbines and the yaw angles of the wind turbines is generated, and the influence of wake effects on the generated energy of the wind power plant can be further reduced by considering the wake control method in the wind power plant layout, so that the power generation level of the wind power plant is improved.
In this embodiment, a wind farm layout method considering wake control is provided, which may be used in the above notebook, desktop computer, mobile terminal, such as mobile phone, tablet computer, etc., and fig. 2 is a flowchart of a wind farm layout method considering wake control according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
Step S201, wind condition data and current wind turbine position coordinates in a target wind power plant are obtained, and wind power plant generating capacity considering wake effect influence is calculated based on the wind condition data and the current wind turbine position coordinates.
Specifically, the step S201 includes:
step S2011, determining wind turbine inflow wind speed considering wake effect influence based on the current wind turbine position coordinates.
Step S2012, determining the wind turbine power taking into account wake effects based on the wind turbine inflow wind speed taking into account wake effects.
Step S2013, obtaining wind turbine data, and calculating the generated energy of the wind farm considering the influence of the wake effect based on the wind turbine power considering the influence of the wake effect, wind condition data and wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data comprise the number of wind turbines, the cut-in wind speed of the wind turbines and the cut-out wind speed of the wind turbines; by considering the wake flow control method in the calculation of the generated energy of the wind power plant, on one hand, the calculation accuracy of the generated energy of the wind power plant is improved; on the other hand, the generated energy of the wind power plant, which is influenced by the wake effect, can be used as an objective evaluation index for determining the layout of the wind power plant, so that the rationality of the layout of the wind power plant is improved.
Specifically, a calculation formula of the wind farm power generation amount considering the wake effect is shown as formula (1):
（1）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Represents the probability distribution of the wind speed and the wind direction of the incoming flow,representing wind turbine power taking into account wake effects, < >>Representing wind turbine inflow wind speed taking wake effect into account,/->And->Respectively representing the cut-in wind speed of the wind turbine and the cut-out wind speed of the wind turbine; the calculation formula of the wind power plant generating capacity considering the influence of the wake effect can intuitively and accurately reflect the effect of considering the wakeThe influence factors of the wind power generation amount of the wind power plant, which are influenced, and the correlation among the physical quantities are improved, and the objectivity and the reliability of the wind power generation amount of the wind power plant, which is influenced by the wake effect, are taken as the evaluation index for determining the layout of the wind power plant; meanwhile, the wake effect is considered in the calculation of the generated energy of the wind power plant, so that the accuracy of the calculation of the generated energy of the wind power plant is improved.
Step S202, carrying out iterative optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of the wake effect, and generating the optimized wind turbine position coordinate.
Specifically, the step S202 includes:
s2021, acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
s2022, calculating the generating capacity of the wind farm without considering the influence of the wake effect based on the wind turbine power without considering the influence of the wake effect, wind condition data and wind turbine data; the calculation formula of the wind power generation capacity of the wind power plant without considering the influence of wake effects is shown as formula (2):
（2）
wherein, the liquid crystal display device comprises a liquid crystal display device,represents the power production of a wind park irrespective of wake effects, +.>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power irrespective of wake effects,/->Represents the wind speed of free incoming flow,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
S2023, calculating an influence value of the first wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect and the generated energy of the wind power plant not considering the influence of the wake effect; the calculation formula of the influence value of the first wake on the generated energy is as follows:
（3）
Wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Representing the power generation of a wind farm without considering wake effects;
s2024, comparing the influence value of the first wake flow on the generated energy with a second termination condition, and when the influence value of the first wake flow on the generated energy does not meet the second termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the influence value of the first wake flow on the generated energy meets the second termination condition, and generating optimized wind power plant layout information.
Specifically, the second termination condition may be that the value of the influence of the current first wake flow on the generated energy is smaller than the value of the influence of the previous first wake flow on the generated energy, and when the value of the influence of the initial first wake flow of the wind farm on the generated energy is zero, comparison may be performed from the second iteration; the second termination condition may also be that the number of iterations exceeds a preset number.
S203, acquiring a current wind turbine yaw angle, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, the wind condition data and the current wind turbine yaw angle; please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
S204, carrying out iterative optimization on the current wind turbine yaw angle based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating an optimized wind turbine yaw angle; please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
S205, performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angle to generate target wind power plant layout information; please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
According to the wind power plant layout method considering wake flow control, the influence factors of the first wake flow on the influence value of the generated energy and the correlation among the physical quantities can be intuitively and accurately reflected through the calculation formula of the influence value of the first wake flow on the generated energy, and the influence value of the first wake flow on the generated energy is improved to be used for determining the objectivity and the reliability of the wind power plant layout evaluation index; meanwhile, the influence value of the first wake flow on the generated energy is used as an objective evaluation index for determining the layout of the wind power plant, and the second termination condition is set as a condition for jumping out of iterative optimization, so that the situation that the calculation amount is overlarge due to the constant iterative optimization is avoided, and the efficiency and the actual application requirement are both considered.
In this embodiment, a wind farm layout method considering wake control is provided, which may be used in the above notebook, desktop computer, mobile terminal, such as mobile phone, tablet computer, etc., and fig. 3 is a flowchart of a wind farm layout method considering wake control according to an embodiment of the present invention, as shown in fig. 3, the flowchart includes the following steps:
step S301, wind condition data and current wind turbine position coordinates in a target wind power plant are obtained, and wind power plant generating capacity considering wake effect influence is calculated based on the wind condition data and the current wind turbine position coordinates; please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S302, carrying out iterative optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of wake effect, and generating the optimized wind turbine position coordinate; please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S303, obtaining the yaw angle of the current wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the yaw angle of the current wind turbine.
Specifically, the step S303 includes:
Step S3031, determining the inflow wind speed of the wind turbine considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates and the current yaw angle of the wind turbine.
Step S3032, determining a wind turbine power taking into account wake effects in the yaw state of the wind turbine based on the wind turbine inflow wind speed taking into account wake effects in the yaw state of the wind turbine.
Step S3033, obtaining wind turbine data, and calculating the power generation capacity of the wind power plant considering the influence of the wake effect in the yaw state of the wind turbine based on the wind turbine power considering the influence of the wake effect in the yaw state of the wind turbine, wind condition data and wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data includes the number of wind turbines, wind turbine cut-in wind speed, and wind turbine cut-out wind speed.
Specifically, a calculation formula of the wind farm power generation amount considering the influence of wake effect in the yaw state of the wind turbine is as follows:
（4）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking into account wake effects in yaw state of wind turbine, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine >Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power, < >>Representing wind turbine inflow wind speed considering wake effect influence in yaw state of wind turbine, +.>And->Respectively representing the cut-in wind speed of the wind turbine and the cut-out wind speed of the wind turbine; the calculation formula of the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the wind turbine, can intuitively and accurately reflect the influence factors of the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the wind turbine, and the correlation among the physical quantities, so that the objectivity and the reliability of the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the wind turbine, are improved as the evaluation index for determining the layout of the wind power plant; meanwhile, the influence of wake flow effect in the yaw state of the wind turbine is considered in calculation of the generated energy of the wind power plant, and the accuracy of calculation of the generated energy of the wind power plant is improved.
Step S304, based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, carrying out iterative optimization on the yaw angle of the current wind turbine, and generating the optimized yaw angle of the wind turbine.
Specifically, the step S304 includes:
Step S3041, obtaining a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
step S3042, calculating the power generation amount of the wind farm without considering the influence of the wake effect based on the wind turbine power without considering the influence of the wake effect, wind condition data and wind turbine data;
step S3043, calculating an influence value of a second wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect under the yaw state of the fan and the generated energy of the wind power plant not considering the influence of the wake effect; the calculation formula of the influence value of the second wake on the generated energy is as follows:
（5）
wherein, the liquid crystal display device comprises a liquid crystal display device,indicating the value of the influence of the second wake on the power generation,/->Representing the power generation of a wind farm without considering wake effects; the influence factors of the second wake flow on the generated energy can be intuitively and accurately reflected through the calculation formula of the influence value of the second wake flow on the generated energy, and the correlation among the physical quantities can be improved, and the influence value of the second wake flow on the generated energy can be used for determining the objectivity and the reliability of the wind power plant layout evaluation index.
And step S3044, comparing the influence value of the second wake flow on the generated energy with a fourth termination condition, and when the influence value of the second wake flow on the generated energy does not accord with the fourth termination condition, performing iterative optimization on the yaw angle of the wind turbine in the wind power plant until the influence value of the second wake flow on the generated energy accords with the fourth termination condition, and generating the optimized yaw angle of the wind turbine.
Specifically, the fourth termination condition may be that the current value of the influence of the second wake on the generated energy is smaller than the previous value of the influence of the second wake on the generated energy, or that the second wake on the generated energy is smaller than the first wake on the generated energy, or that the iteration number exceeds the preset number.
Step S305, performing iterative optimization on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine to generate target wind power plant layout information; please refer to step S105 in the embodiment shown in fig. 1 in detail, which is not described herein.
According to the wind power plant layout method considering wake control, wake effect influence in a yaw state of a wind turbine is considered in calculation of the generated energy of the wind power plant, so that the accuracy of calculation of the generated energy of the wind power plant is improved; on the other hand, the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the wind turbine, can be used as an objective evaluation index for determining the layout of the wind power plant, so that the rationality of the layout of the wind power plant is improved; meanwhile, the influence value of the second wake flow on the generated energy is used as an objective evaluation index for determining the layout of the wind power plant, and a fourth termination condition is set as a condition for jumping out of iterative optimization, so that the situation that the calculation amount is overlarge due to the constant iterative optimization is avoided, and the efficiency and the actual application requirement are both considered.
In this embodiment, a wind farm layout method considering wake control is provided, which may be used in the above notebook, desktop computer, mobile terminal, such as mobile phone, tablet computer, etc., and fig. 4 is a flowchart of a wind farm layout method considering wake control according to an embodiment of the present invention, as shown in fig. 4, the flowchart includes the following steps:
step S401, wind condition data and current wind turbine position coordinates in a target wind power plant are obtained, and wind power plant generating capacity considering wake effect influence is calculated based on the wind condition data and the current wind turbine position coordinates; please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S402, carrying out iterative optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of wake effect, and generating the optimized wind turbine position coordinate; please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S403, obtaining the yaw angle of the current wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, wind condition data and the yaw angle of the current wind turbine; please refer to step S103 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S404, carrying out iterative optimization on the yaw angle of the current wind turbine based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating an optimized yaw angle of the wind turbine; please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
And step S405, performing iterative optimization on the optimized position coordinates of the wind turbine and the optimized yaw angle of the wind turbine to generate target wind power plant layout information.
Specifically, the step S405 includes:
and step S4051, performing iterative optimization on the optimized position coordinates of the wind turbines and the optimized yaw angles of the wind turbines until the preset iterative times are reached, and generating a plurality of position coordinates of the wind turbines and a plurality of yaw angles of the wind turbines.
Step S4052, selecting a wind turbine position coordinate and a wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant, and determining target wind power plant layout information according to the wind turbine position coordinate and the wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant; the maximum wind power generation amount is the wind power generation amount considering the influence of wake effect in the yaw state of the wind turbine.
According to the wind power plant layout method considering wake flow control, the yaw angle of the wind power machine is optimized in the process of arranging and optimizing the position coordinates of the wind power machine in the wind power plant, the wake flow control method is considered in the wind power plant layout, and gradual iteration is performed, so that the influence of wake flow effects on the generated energy of the wind power plant can be further reduced, the power generation level of the wind power plant is improved, and the rationality of the target wind power plant layout is improved.
A method of wind farm layout that takes wake control into account is described below by way of a specific embodiment.
Example 1:
step 1, fan selection
Determining the number of wind turbines to be distributed in a wind power plant and parameter information of the wind turbines; the wind turbine parameters include turbine wheel diameter, hub height, power profile and thrust coefficient profile.
Step 2, determining the position coordinates of the wind turbine in the wind power plant
Determining the position coordinates of the wind turbines in the wind power plant according to the wind turbine arrangement strategyThe method comprises the steps of carrying out a first treatment on the surface of the The wind turbine arrangement strategy needs to consider factors such as the distance between adjacent fans, the limiting land, the cable layout, the traffic condition and the like.
Step 3, calculating the generated energy and wake flow influence of the wind power plant under the current layout
According to the determined position coordinates of the wind turbine, a wind power plant generating capacity calculation model is established, and the generating capacity of the wind power plant under the current layout is calculatedWherein->Is->Generating capacity calculated in the secondary iteration process; the influence of wake effects on the power generation of the wind power plant is considered in the power generation model, and the power generation is calculated by the following formula:
（1）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +. >Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Represents the probability distribution of the wind speed and the wind direction of the incoming flow,representing wind turbine power taking into account wake effects, < >>Representing wind turbine inflow wind speed taking wake effect into account,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
The effect of wake on power generation can be expressed by the following formula:
（3）
wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
（2）
Wherein, the liquid crystal display device comprises a liquid crystal display device,represents the power production of a wind park irrespective of wake effects, +.>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power irrespective of wake effects,/->Represents the wind speed of free incoming flow,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
Step 4, first iteration judgment
Performing first iteration judgment, and performing step 5, wherein iteration can be skipped after the first termination condition is met, otherwise, invoking the optimization strategy 1 to position the wind turbine And (5) optimizing, and repeating the steps 2 to 4. The first termination condition is that,or the iteration times exceeds M1 times, the initial power generation amount of the wind power field is +.>The larger the value of M1 is, the better the optimization effect is, but the larger the calculated amount is, and the selection is needed according to actual conditions.
The method comprises the following steps:
（1）and when the first termination condition is not met, calling the optimization strategy 1 to optimize the position (x, y) of the wind turbine, and repeating the steps 2 to 4./>
（2）And 5, meeting a first termination condition, and outputting wind power plant layout information through first iteration judgment, so as to carry out step 5.
(3) When the number of iterations exceeds M1, evenAnd 5, outputting wind power plant layout information through first iteration judgment to perform step 5, wherein the first termination condition is also met.
Step 5, adjusting the yaw angle of the wind turbine
In the wind farm layout output in the step 4, yaw angles of all wind turbinesAll 0 degrees; and the yaw angles of all the wind turbines are adjusted, so that the wake flow of the wind turbines is deflected, and the generated energy of the wind power plant is improved by reducing the influence of wake flow effect on the generated energy of the downstream wind turbines.
Step 6, calculating the generated energy and wake flow influence of the wind power plant under the current yaw angle, and updating the yaw angle of the wind turbine if the generated energy is increased
According to wind power plant layout information and yaw angle information of a wind turbine, a wind power plant generating capacity calculation model is established, and the wind power plant generating capacity under the current layout and yaw angle is calculatedWherein->Is->Generating capacity calculated in the secondary iteration process; the wake flow calculation module in the generated energy model needs to consider the influence of yaw of the fan on wake flow effect, and the generated energy is calculated by the following formula:
（4）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking into account wake effects in yaw state of wind turbine, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power, < >>Representing wind turbine inflow wind speed considering wake effect influence in yaw state of wind turbine, +.>And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
The effect of wake on power generation can be expressed by the following formula:
（5）
wherein, the liquid crystal display device comprises a liquid crystal display device,indicating the value of the influence of the second wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
Due to the optimization of the yaw angle of the wind turbine, wake effects are reduced, and therefore 。
After the calculation of the generated energy is completed, ifThe yaw angle of the wind turbine is not updated>Step 7 is carried out; if->Updating the yaw angle of the wind turbine>Step 7 is then performed.
Step 7, second iteration judgment
Performing a second iteration judgment, and performing step 8, wherein the iteration can be jumped out after the second termination condition is met, otherwise, invoking the optimization strategy 2 to control the yaw angle of the wind turbineAnd (5) optimizing, and repeating the steps 5 to 7.
The second termination condition is that the iteration times exceeds M2 times, wherein the larger the value of M2 is, the better the optimization effect is, but the larger the calculated amount is, and the calculation amount is required to be selected according to actual conditions.
Step 8, outputting the optimized wind power plant layout and the yaw angle of the wind turbine
Outputting the optimized layout of the wind power plant and the yaw angle of the wind turbines, and determining the specific position coordinates and the yaw angle of each wind turbine.
Step 9, third iteration judgment
Performing a third iteration judgment to meet a third termination stripAfter the part, the iteration can be jumped out, the step 10 is carried out, otherwise, the position of the wind turbine is called by the optimization strategy 3And (5) optimizing, and repeating the steps 2 to 9.
The third termination condition is that the iteration times exceeds M3 times, wherein the larger the value of M3 is, the better the optimization effect is, but the larger the calculated amount is, and the calculation amount is required to be selected according to actual conditions.
Step 10, outputting final layout of wind farm and yaw angle of wind turbine
And outputting the final layout of the wind power plant and the yaw angle of the wind power plant, and determining the final position coordinate and the yaw angle of each wind power plant.
Optimization strategy 1 and optimization strategy 3 pairs of wind turbine positionsOptimizing; optimization strategy 2 yaw angle of wind turbineOptimizing; the specific optimization strategy may employ intelligent optimization algorithms (e.g., genetic algorithms, particle swarm algorithms, etc.) to select an optimization scheme, or by creating a library of alternatives from which to select an optimization scheme.
Example 2:
and determining 12 fans in the fan model selection stage of a certain wind power plant, and reducing the influence of wake effect on the generated energy of the wind power plant by adopting a technical means.
As shown in fig. 5, in the stage of planning and designing a wind farm according to a conventional method, a microscopic site selection method is adopted to reduce wake flow influence, the wake flow influence of the wind farm under an initial layout is 18%, after the wind turbine position is arranged and optimized, the wake flow influence under a certain middle layout is 12%, and the wake flow influence of a final layout obtained after the wind turbine position is continuously optimized is 11%. And then in the operation management stage of the wind power plant, the yaw angle of the wind turbine is optimized by adopting a wake control technology on the basis of the final layout scheme of the wind power plant, so that the wake influence is reduced to 10.5%.
As shown in FIG. 6, in the method provided by the invention, in the stage of planning and designing a wind farm, the influence of tail flow control on the generated energy of the wind farm is considered in the microscopic site selection process, the tail flow influence of the wind farm is 18% under the initial layout, the position and yaw angle of the wind turbine are sequentially optimized, in a certain optimization scheme, the tail flow influence under the middle layout is 12% (corresponding to the middle layout of the traditional method), and the yaw angle of the wind turbine is optimized on the basis of the layout, so that the tail flow influence of the wind turbine is 10%. The wake effects obtained by this approach are already optimal (the wake effects of the dummy layout information corresponding to the conventional approach are all greater than 10%), so the layout and wind turbine yaw are the final layout and corresponding wake control implementation.
The embodiment also provides a wind farm layout device considering wake control, which is used for realizing the embodiment and the preferred implementation, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The present embodiment provides a wind farm layout device considering wake control, as shown in fig. 7, including:
the first calculation module 701 is configured to obtain wind condition data and current wind turbine position coordinates in a target wind farm, and calculate a wind farm power generation amount considering wake effect effects based on the wind condition data and the current wind turbine position coordinates;
a first iteration module 702, configured to iteratively optimize a current wind turbine position coordinate based on a wind farm power generation amount considering wake effect influence, and generate an optimized wind turbine position coordinate;
a second calculation module 703, configured to obtain a current yaw angle of the wind turbine, and calculate a wind farm power generation amount considering a wake effect in a yaw state of the wind turbine based on the optimized wind turbine position coordinate, the wind condition data, and the current yaw angle of the wind turbine;
a second iteration module 704, configured to iteratively optimize a current wind turbine yaw angle based on a wind farm power generation amount considering a wake effect in a yaw state of the wind turbine, and generate an optimized wind turbine yaw angle;
the first generating module 705 is configured to iteratively optimize the optimized wind turbine position coordinate and the optimized wind turbine yaw angle, and generate the target wind farm layout information.
In some alternative embodiments, the first iteration module 702 includes:
and the first iteration submodule is used for comparing the generated energy of the wind power plant which is considered to be influenced by the wake effect with the first termination condition, and carrying out iterative optimization on the position coordinates of the wind turbines in the wind power plant when the generated energy of the wind power plant which is considered to be influenced by the wake effect does not accord with the first termination condition until the generated energy of the wind power plant which is considered to be influenced by the wake effect accords with the first termination condition, so as to generate the position coordinates of the optimized wind turbines.
In some alternative embodiments, the first computing module 701 includes:
the first determining submodule is used for determining wind turbine inflow wind speed considering wake effect influence based on the current wind turbine position coordinates;
a second determination submodule for determining a wind turbine power taking into account wake effects based on a wind turbine inflow wind speed taking into account wake effects;
the first calculation sub-module is used for acquiring wind turbine data and calculating the generated energy of the wind power plant considering the influence of the wake effect based on the wind turbine power considering the influence of the wake effect, wind condition data and wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data includes the number of wind turbines, wind turbine cut-in wind speed, and wind turbine cut-out wind speed.
In some alternative embodiments, the first calculation sub-module includes the following calculation formula for wind farm power generation taking into account wake effects:
（1）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Represents the probability distribution of the wind speed and the wind direction of the incoming flow,representing wind turbine power taking into account wake effects, < >>Representing wind turbine inflow wind speed taking wake effect into account,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
In some alternative embodiments, the first iteration module 702 further comprises:
the third determining submodule is used for acquiring the free incoming wind speed and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
a second calculation sub-module for calculating a wind farm power generation amount without considering wake effects based on the wind turbine power without considering wake effects, wind condition data and wind turbine data;
a third calculation sub-module for calculating an influence value of the first wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect and the generated energy of the wind power plant not considering the influence of the wake effect;
And the second iteration submodule is used for comparing the influence value of the first wake flow on the generated energy with a second termination condition, and when the influence value of the first wake flow on the generated energy does not accord with the second termination condition, carrying out iterative optimization on the position coordinates of the wind turbines in the wind power plant until the influence value of the first wake flow on the generated energy accords with the second termination condition, and generating optimized wind power plant layout information.
In some alternative embodiments, the third calculation sub-module includes: the calculation formula of the influence value of the first wake on the generated energy is as follows:
（3）
wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Representing wind without considering wake effectsGenerating capacity of the electric field.
In some alternative embodiments, the second iteration module 704 includes:
and the third iteration sub-module is used for comparing the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, with a third termination condition, and when the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, is not in accordance with the third termination condition, carrying out iterative optimization on the yaw angle of the wind power plant in the wind power plant until the generated energy of the wind power plant, which is influenced by the wake effect under the yaw state of the fan, is in accordance with the third termination condition, so as to generate the optimized yaw angle of the wind power plant.
In some alternative embodiments, the second computing module 703 includes:
a fourth determining submodule, configured to determine an inflow wind speed of the wind turbine considering an influence of a wake effect in a yaw state of the wind turbine based on the optimized wind turbine position coordinate and the current yaw angle of the wind turbine;
a fifth determination submodule for determining a wind turbine power taking into account wake effects in a yaw state of the wind turbine based on a wind turbine inflow wind speed taking into account wake effects in a yaw state of the wind turbine;
a fourth calculation sub-module, configured to obtain wind turbine data, and calculate a wind farm power generation amount considering a wake effect in a yaw state of the wind turbine based on wind turbine power considering the wake effect in the yaw state of the wind turbine, wind condition data, and wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data includes the number of wind turbines, wind turbine cut-in wind speed, and wind turbine cut-out wind speed.
In some alternative embodiments, the fourth calculation sub-module includes: the calculation formula of the generating capacity of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine is as follows:
（4）
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking into account wake effects in yaw state of wind turbine, < > >Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power, < >>Representing wind turbine inflow wind speed considering wake effect influence in yaw state of wind turbine, +.>And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
In some alternative embodiments, the second iteration module 704 further comprises:
the third determining submodule is used for acquiring the free incoming wind speed and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
a second calculation sub-module for calculating a wind farm power generation amount without considering wake effects based on the wind turbine power without considering wake effects, wind condition data and wind turbine data;
a fifth calculation sub-module for calculating an influence value of the second wake on the generated energy based on the generated energy of the wind farm considering the influence of the wake effect in the yaw state of the fan and the generated energy of the wind farm not considering the influence of the wake effect;
and the fourth iteration sub-module is used for comparing the influence value of the second wake flow on the generated energy with a fourth termination condition, and when the influence value of the second wake flow on the generated energy does not accord with the fourth termination condition, carrying out iterative optimization on the yaw angle of the wind turbine in the wind power plant until the influence value of the second wake flow on the generated energy accords with the fourth termination condition, and generating the optimized yaw angle of the wind turbine.
In some alternative embodiments, the fifth calculation sub-module includes: the calculation formula of the influence value of the second wake on the generated energy is as follows:
（5）
wherein, the liquid crystal display device comprises a liquid crystal display device,indicating the value of the influence of the second wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
In some alternative embodiments, the first generation module 705 includes:
a fifth iteration sub-module, configured to iteratively optimize the optimized wind turbine position coordinates and the optimized wind turbine yaw angles until a preset iteration number is reached, and generate a plurality of wind turbine position coordinates and a plurality of wind turbine yaw angles;
a sixth determining submodule, configured to select a wind turbine position coordinate and a wind turbine yaw angle corresponding to the maximum wind farm power generation amount, and determine target wind farm layout information according to the wind turbine position coordinate and the wind turbine yaw angle corresponding to the maximum wind farm power generation amount; the maximum wind power generation amount is the wind power generation amount considering the influence of wake effect in the yaw state of the wind turbine.
Further functional descriptions of the above respective modules and units are the same as those of the above corresponding embodiments, and are not repeated here.
The wind farm layout taking into account wake control in this embodiment is presented in the form of functional units, here referred to as ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the above described functionality.
The embodiment of the invention also provides computer equipment, which is provided with the wind power plant layout device considering wake control shown in the figure 7.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 8, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 8.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform a method for implementing the embodiments described above.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device further comprises input means 30 and output means 40. The processor 10, memory 20, input device 30, and output device 40 may be connected by a bus or other means, for example in fig. 8.
The input device 30 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the computer apparatus, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointer stick, one or more mouse buttons, a trackball, a joystick, and the like. The output means 40 may include a display device, auxiliary lighting means (e.g., LEDs), tactile feedback means (e.g., vibration motors), and the like. Such display devices include, but are not limited to, liquid crystal displays, light emitting diodes, displays and plasma displays. In some alternative implementations, the display device may be a touch screen.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (11)
1. A method of wind farm layout with wake control in mind, the method comprising:
acquiring wind condition data and current wind turbine position coordinates in a target wind power plant, and calculating wind power plant generating capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates;
iteratively optimizing the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of the wake effect, and generating an optimized wind turbine position coordinate;
acquiring a current yaw angle of the wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, the wind condition data and the current yaw angle of the wind turbine;
iteratively optimizing the current yaw angle of the wind turbine based on the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine, and generating an optimized yaw angle of the wind turbine;
performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angle to generate target wind power plant layout information;
the calculating wind farm power generation capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates comprises the following steps:
Determining wind turbine inflow wind speed considering wake effect influence based on the current wind turbine position coordinates;
determining the wind turbine power considering the influence of the wake effect based on the wind turbine inflow wind speed considering the influence of the wake effect;
acquiring wind turbine data, and calculating the generated energy of the wind power plant considering the influence of the wake effect based on the wind turbine power considering the influence of the wake effect, the wind condition data and the wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data comprise the number of wind turbines, the cut-in wind speed of the wind turbines and the cut-out wind speed of the wind turbines;
the iterative optimization is performed on the current wind turbine position coordinate based on the generated energy of the wind farm considering the wake effect influence, and the generation of the optimized wind turbine position coordinate comprises the following steps:
acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
calculating the generating capacity of the wind power plant without considering the influence of the wake effect based on the wind power without considering the influence of the wake effect, the wind condition data and the wind power data;
Calculating an influence value of the first wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect and the generated energy of the wind power plant not considering the influence of the wake effect;
comparing the influence value of the first wake flow on the generated energy with a second termination condition, and when the influence value of the first wake flow on the generated energy does not accord with the second termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the influence value of the first wake flow on the generated energy accords with the second termination condition, and generating the optimized wind power plant layout information;
the method comprises the steps of calculating an influence value of a first wake flow on the generated energy based on the generated energy of the wind power plant considering wake effect influence and the generated energy of the wind power plant not considering wake effect influence, wherein the calculation formula of the influence value of the first wake flow on the generated energy is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Representing the power generation of a wind farm without considering wake effects;
performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angle to generate target wind power plant layout information, including:
Performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angles until the preset iterative times are reached, and generating a plurality of wind turbine position coordinates and a plurality of wind turbine yaw angles;
selecting a wind turbine position coordinate and a wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant, and determining the target wind power plant layout information by using the wind turbine position coordinate and the wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant; the maximum wind power generation amount is wind power generation amount considering the influence of wake effect in the yaw state of the wind turbine.
2. The method of claim 1, wherein iteratively optimizing the current wind turbine position coordinates based on the wind farm power generation taking into account wake effects to generate optimized wind turbine position coordinates comprises:
comparing the generated energy of the wind power plant considering the influence of the wake effect with a first termination condition, and when the generated energy of the wind power plant considering the influence of the wake effect does not accord with the first termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the generated energy of the wind power plant considering the influence of the wake effect accords with the first termination condition, and generating the optimized position coordinates of the wind turbines.
3. The method according to claim 1, wherein the calculating of the wake effect-considered wind farm power generation based on the wake effect-considered wind turbine power, the wind condition data and the wind turbine data is performed according to the following calculation formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicates the number of wind direction intervals, & lt & gt>Indicating the direction of the incoming flow of wind,indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Represents the probability distribution of the wind speed and the wind direction of the incoming flow,representing wind turbine power taking into account wake effects, < >>Representing wind turbine inflow wind speed taking wake effect into account,/->And->The wind turbine cut-in wind speed and the wind turbine cut-out wind speed are respectively indicated.
4. The method of claim 1, wherein iteratively optimizing the current wind turbine yaw based on the wind farm power generation taking into account wake effects in a yaw state of the wind turbine, generating an optimized wind turbine yaw, comprises:
Comparing the generated energy of the wind power plant which is considered to be influenced by the wake effect in the yaw state of the wind power plant with a third termination condition, and when the generated energy of the wind power plant which is considered to be influenced by the wake effect in the yaw state of the wind power plant does not accord with the third termination condition, performing iterative optimization on the yaw angle of the wind power plant in the wind power plant until the generated energy of the wind power plant which is considered to be influenced by the wake effect in the yaw state of the wind power plant accords with the third termination condition, and generating the optimized yaw angle of the wind power plant.
5. The method of claim 1, wherein the calculating wind farm power generation taking into account wake effects in a yaw state of the wind turbine based on the optimized wind turbine position coordinates, the wind condition data, and the current wind turbine yaw angle comprises:
determining wind turbine inflow wind speed considering wake effect influence under a wind turbine yaw state based on the optimized wind turbine position coordinates and the current wind turbine yaw angle;
determining the wind turbine power considering the influence of the wake effect in the yaw state of the wind turbine based on the wind turbine inflow wind speed considering the influence of the wake effect in the yaw state of the wind turbine;
acquiring wind turbine data, and calculating the generated energy of a wind farm which is considered to be influenced by the wake effect in the yaw state of the wind turbine based on the wind turbine power which is considered to be influenced by the wake effect in the yaw state of the wind turbine, the wind condition data and the wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data comprise the number of wind turbines, the wind turbine cut-in wind speed and the wind turbine cut-out wind speed.
6. The method of claim 5, wherein the calculating the wind farm power generation based on the wind turbine power, the wind condition data, and the wind turbine data that take into account the wake effect in the yaw state of the wind turbine calculates the wind farm power generation that takes into account the wake effect in the yaw state of the wind turbine as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,representing wind farm power generation taking into account wake effects in yaw state of wind turbine, < >>Indicate->Multiple iterations(s)>Represents the number of hours per year, +.>Indicating the number of wind turbines>Representing the code of the wind turbine>Indicating the number of wind direction intervals,indicating the direction of incoming flow, and->Indicating the number of wind speed intervals>Indicating incoming wind speed, < >>Representing the probability distribution of the wind speed and direction of the incoming flow, +.>Indicating wind turbine power, < >>Representing wind turbine inflow wind speed considering wake effect influence in yaw state of wind turbine, +.>And->Respectively represent the cut-in wind speed of the wind turbineAnd the wind speed cut-out by the wind turbine.
7. The method of claim 6, wherein iteratively optimizing the current wind turbine yaw based on the wind farm power generation taking into account wake effects in a yaw state of the wind turbine, generating an optimized wind turbine yaw, further comprising:
Acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
calculating the generating capacity of the wind power plant without considering the influence of the wake effect based on the wind power without considering the influence of the wake effect, the wind condition data and the wind power data;
calculating an influence value of a second wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect under the yaw state of the wind turbine and the generated energy of the wind power plant not considering the influence of the wake effect;
comparing the influence value of the second wake flow on the generated energy with a fourth termination condition, and when the influence value of the second wake flow on the generated energy does not accord with the fourth termination condition, performing iterative optimization on the yaw angle of the wind turbine in the wind power plant until the influence value of the second wake flow on the generated energy accords with the fourth termination condition, and generating the optimized yaw angle of the wind turbine.
8. The method according to claim 7, wherein the calculation formula of the influence value of the second wake on the generated energy is as follows, based on the generated energy of the wind farm considering the influence of the wake effect in the yaw state of the wind turbine and the generated energy of the wind farm not considering the influence of the wake effect:
Wherein, the liquid crystal display device comprises a liquid crystal display device,indicating the value of the influence of the second wake on the power generation,/->Represents the power production of a wind farm without considering wake effects.
9. A wind farm layout arrangement that takes wake control into account, the arrangement comprising:
the first calculation module is used for acquiring wind condition data and current wind turbine position coordinates in a target wind power plant, and calculating wind power plant generating capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates;
the first iteration module is used for carrying out iteration optimization on the current wind turbine position coordinate based on the generated energy of the wind power plant considering the influence of the wake effect, and generating the optimized wind turbine position coordinate;
the second calculation module is used for obtaining the yaw angle of the current wind turbine, and calculating the generated energy of the wind power plant considering the influence of wake effect in the yaw state of the wind turbine based on the optimized wind turbine position coordinates, the wind condition data and the yaw angle of the current wind turbine;
the second iteration module is used for carrying out iterative optimization on the current wind turbine yaw angle based on the generated energy of the wind power plant considering the influence of the wake effect under the yaw state of the wind turbine, and generating an optimized wind turbine yaw angle;
The first generation module is used for carrying out iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angle to generate target wind power plant layout information;
the calculating wind farm power generation capacity considering wake effect influence based on the wind condition data and the current wind turbine position coordinates comprises the following steps:
determining wind turbine inflow wind speed considering wake effect influence based on the current wind turbine position coordinates;
determining the wind turbine power considering the influence of the wake effect based on the wind turbine inflow wind speed considering the influence of the wake effect;
acquiring wind turbine data, and calculating the generated energy of the wind power plant considering the influence of the wake effect based on the wind turbine power considering the influence of the wake effect, the wind condition data and the wind turbine data; the wind condition data comprise incoming wind speed, incoming wind direction, wind direction interval number and wind speed interval number; the wind turbine data comprise the number of wind turbines, the cut-in wind speed of the wind turbines and the cut-out wind speed of the wind turbines;
the iterative optimization is performed on the current wind turbine position coordinate based on the generated energy of the wind farm considering the wake effect influence, and the generation of the optimized wind turbine position coordinate comprises the following steps:
Acquiring a free incoming wind speed, and determining the power of the wind turbine without considering the influence of wake effects based on the free incoming wind speed;
calculating the generating capacity of the wind power plant without considering the influence of the wake effect based on the wind power without considering the influence of the wake effect, the wind condition data and the wind power data;
calculating an influence value of the first wake on the generated energy based on the generated energy of the wind power plant considering the influence of the wake effect and the generated energy of the wind power plant not considering the influence of the wake effect;
comparing the influence value of the first wake flow on the generated energy with a second termination condition, and when the influence value of the first wake flow on the generated energy does not accord with the second termination condition, performing iterative optimization on the position coordinates of the wind turbines in the wind power plant until the influence value of the first wake flow on the generated energy accords with the second termination condition, and generating the optimized wind power plant layout information;
the method comprises the steps of calculating an influence value of a first wake flow on the generated energy based on the generated energy of the wind power plant considering wake effect influence and the generated energy of the wind power plant not considering wake effect influence, wherein the calculation formula of the influence value of the first wake flow on the generated energy is as follows:
Wherein, the liquid crystal display device comprises a liquid crystal display device,a value representing the influence of the first wake on the power generation,/->Representing wind farm power generation taking wake effect influence into account, < >>Indicate->Multiple iterations(s)>Representing the power generation of a wind farm without considering wake effects;
performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angle to generate target wind power plant layout information, including:
performing iterative optimization on the optimized wind turbine position coordinates and the optimized wind turbine yaw angles until the preset iterative times are reached, and generating a plurality of wind turbine position coordinates and a plurality of wind turbine yaw angles;
selecting a wind turbine position coordinate and a wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant, and determining the target wind power plant layout information by using the wind turbine position coordinate and the wind turbine yaw angle corresponding to the maximum wind power generation amount of the wind power plant; the maximum wind power generation amount is wind power generation amount considering the influence of wake effect in the yaw state of the wind turbine.
10. A computer device, comprising:
a memory and a processor in communication with each other, the memory having stored therein computer instructions that, upon execution, perform the wake control considered wind farm layout method of any of claims 1 to 8.
11. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform the wind farm layout method taking wake control into account of any of claims 1 to 8.
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| CN108708825A (en) * | 2018-05-15 | 2018-10-26 | 浙江运达风电股份有限公司 | A kind of wind power plant Yaw control method considering unit wake flow |
| CN113139326A (en) * | 2021-05-13 | 2021-07-20 | 华北电力大学 | Wind power plant yaw cooperative control optimization method, electronic device and storage medium |
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