CN113033009A - Real-time calculation method for wake flow loss of offshore wind farm in service - Google Patents
Real-time calculation method for wake flow loss of offshore wind farm in service Download PDFInfo
- Publication number
- CN113033009A CN113033009A CN202110353571.3A CN202110353571A CN113033009A CN 113033009 A CN113033009 A CN 113033009A CN 202110353571 A CN202110353571 A CN 202110353571A CN 113033009 A CN113033009 A CN 113033009A
- Authority
- CN
- China
- Prior art keywords
- wind
- wake
- unit
- wind speed
- flow
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/06—Wind turbines or wind farms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Wind Motors (AREA)
Abstract
The invention provides a real-time wake loss calculation method for an active offshore wind farm, which comprises the following steps of: step 1, acquiring unit information of each wind turbine in a wind power plant area and data information of free incoming flow in the wind power plant area; step 2, building a wind speed calculation module in a unit downwind wake flow influence area, and calculating the actual wind speed of each wind turbine point location; step 3, calculating the actual output power of each unit under the single wake flow influence factor corresponding to the current wind speed; step 4, calculating the real-time power generation loss sum of all the units which normally run in the current time period in the wind electric field area due to the wake effect; the method solves the problem of real-time assessment of the whole field energy efficiency loss caused by the actual wake effect of the unit in the intelligent operation and maintenance process of the offshore wind farm in service, and improves the assessment precision of the wake loss compared with the early design stage.
Description
Technical Field
The invention belongs to the technical field of energy efficiency evaluation of wind power generation, and particularly relates to a real-time calculation method for wake flow loss of an offshore in-service wind power plant.
Background
China is rich in offshore wind energy resources, and compared with onshore wind power, offshore wind power has the advantages of stable wind conditions, high installed capacity, high effective utilization hours, close proximity to a power load center and the like. In recent years, the supporting force of China on offshore wind power is continuously increased, and offshore wind power development enters a large-scale and commercial development stage. At present, offshore wind power demonstration projects of a plurality of provinces are operated in a grid-connected mode, and intelligent operation and maintenance of offshore wind power become the focus of increasing attention of wind power operators.
The number of units of an offshore wind farm is usually large, and the array arrangement scale is large; meanwhile, with the continuous increase of the unit capacity of the offshore wind turbine, the diameter of the wind wheel of the offshore wind turbine is also continuously increased, after sea wind flows through the rotating wind wheel, the airflow disturbance degree and the influence range of the downwind area of the turbine (array) are increased due to the wake effect of a single turbine and the wake interference effect among different turbines, the wind speed in the wind turbine is unevenly distributed, and the operation condition of each wind turbine in the wind turbine, the operation working condition of the wind turbine and the output of the wind turbine are influenced; in addition, the sea surface is a flat and uniform underlying surface, the roughness of the sea surface is very small, the atmospheric thermodynamic stability on the sea is generally biased to a stable state, the turbulence intensity is low, the vertical mixing effect of the atmospheres with different heights is weak, the momentum energy exchange between a wake flow influence area and external free air flow is not facilitated, so that the recovery of the wake flow wind speed is slow, and the wake flow propagation distance is lengthenedThe propagation distance exceeds 100 times the impeller diameter (10)1Kilometer scale) or more. The wake effect of the wind turbine generator and the wake superposition interference between the units cause loss of wind speed in corresponding influence areas (namely, the wind speed is lower than the free incoming flow wind speed), so that the actual generated energy of the units is reduced, and the utilization rate of the whole wind energy is reduced.
At present, the wake loss prediction of the wind turbine generator set is generally used in the early stage exploration and design stage of the wind power plant, and the wake reduction coefficient of each generator set in the micro addressing scheme is calculated, so that the loss of the whole power generation amount caused by the wake effect is estimated, and the method is a necessary link in the early stage feasibility research of the wind power plant. However, after the wind farm is put into operation, due to the complexity of the field environment and the wind condition, the difference between the actual wake loss and the design value often exists, and a large error is brought to the energy efficiency loss evaluation during the operation and maintenance of the active wind farm. As an important link of accurate prediction calculation and optimized scheduling of power (or generated energy) in an actual operation and maintenance link of a wind power plant, the energy efficiency loss real-time evaluation and engineering realization method of the wind power plant on the sea in service based on the wake effect are still in continuous development and exploration stages at present.
Disclosure of Invention
The invention aims to provide a real-time calculation method for wake loss of an on-service offshore wind farm, which solves the real-time evaluation problem of the energy efficiency loss of the whole farm caused by the wake effect actually generated by a unit in the actual production, operation and maintenance process of the on-service offshore wind farm, and improves the evaluation precision of the wake loss relative to the investigation and design stage; the method is based on effective measurement data of existing wind measuring equipment of the offshore wind farm, takes a wind turbine generator engineering analysis wake flow model as a core, combines the current operation state of the turbine, calculates the wake flow energy efficiency loss of each turbine and the whole wind farm under different incoming wind conditions in real time, and is an important component of centralized monitoring and intelligent operation and maintenance of the offshore wind farm on service.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a real-time wake loss calculation method for an active offshore wind farm, which comprises the following steps of:
calculating theoretical output power of each unit under the state of not being interfered by the wake flow according to the unit information of each unit obtained in the step 1 and by combining the data information of the free incoming flow obtained in the step 1;
and 4, calculating the real-time power generation loss sum of all the units which normally run in the current time period in the wind electric field area according to the actual output power of each unit and the theoretical output power of each unit which are calculated in the step 3.
Preferably, in step 1, the unit information includes position coordinates, wind wheel radius, and wind speed-power curve; the data information of the free incoming flow comprises an average wind speed value of the free incoming flow in the current time period and an average wind direction value of the free incoming flow.
Preferably, the average wind speed value of the free incoming flow and the average wind direction value of the free incoming flow are obtained by the following specific methods:
collecting the wind data through wind measuring equipment arranged in a wind power field area, wherein the wind measuring equipment comprises a wind measuring tower, a laser wind measuring radar and an engine room anemoscope arranged on a first wind turbine generator in the wind power field area;
when the anemometer tower or the laser anemometer radar is located in an upwind direction area which is not interfered by wake flow, respectively taking an average wind direction value and an average wind speed value of the anemometer tower or the laser anemometer radar in a set time period, which are measured at an anemometer layer with the same height as a hub of a wind turbine, as an average wind direction value and an average wind speed value of free incoming flow in a wind power plant area;
when the anemometer tower or the laser anemometer radar is located on a booster station platform in a downwind wake superposition influence area or a field area of a wind power plant area, taking an average wind direction value of the anemometer tower or the laser anemometer radar in a set time period measured on the highest anemometer layer as an average wind direction value of free incoming flow in the wind power plant area; and taking the average value of the undisturbed free incoming flow wind speed in front of each wind turbine generator in the first row in the wind electric field area as the average wind speed value of the free incoming flow in the wind power plant area.
Preferably, the method for calculating the average value of undisturbed free incoming wind speeds in front of the first row of wind turbines in the wind farm area specifically comprises the following steps:
determining each wind turbine generator positioned in the first row of the upwind direction in the wind power plant area based on the average wind direction value of the current free incoming flow;
acquiring wind speed data measured by a cabin anemometer on each wind turbine generator in the first row, deducing the measured wind speed data by utilizing a cabin transfer function to obtain wind speeds which are not interfered in front of each wind turbine generator in the first row, and averaging the wind speeds which are not interfered in front of each wind turbine generator in the first row to serve as an average wind speed value of free incoming flow in a wind power plant area.
Preferably, in step 2, a downwind wake zone wind speed calculation module is built according to the wind turbine engineering wake model, and the specific method is as follows:
s201, quantitatively judging wake flow influence areas generated by all wind generation sets which normally operate in a wind power plant according to a wind turbine engineering wake flow model;
s202, according to the unit information and the data information of the free incoming flow obtained in the step 1, combining the wake flow influence areas generated by the wind turbine units obtained in the step S201 and the relative position arrangement of the wind turbine units in normal operation, and drawing a planar wake flow influence area graph in the whole wind power plant, wherein the height of the planar wake flow influence area graph is equal to that of a hub of the wind turbine;
s203, judging whether each wind turbine generator in normal operation is located in a wake flow influence area generated by a wind turbine generator thereon according to the wake flow influence area graph obtained in S202; and calculating the actual wind speed at the point position of each wind turbine generator according to the judgment result.
Preferably, in step 3, according to the actual wind speed at each unit point location obtained in step 2, and in combination with the unit information of each unit obtained in step 1, the actual output power of each unit under the single wake flow influence factor corresponding to the current wind speed is calculated, and the specific method is as follows:
and (3) according to the actual wind speed of each unit point position obtained in the step (2), combining the unit information of each unit obtained in the step (1), and obtaining the actual output power of each unit under the single wake flow influence factor corresponding to the current actual wind speed by adopting a wind speed difference method.
Preferably, in step 3, the theoretical output power of each unit under the state of not being interfered by the wake flow is calculated according to the unit information of each unit obtained in step 1 and by combining the data information of the free incoming flow obtained in step 1, and the specific method is as follows:
and (3) according to the unit information of each unit obtained in the step (1), combining the data information of the free incoming flow obtained in the step (1), and obtaining the theoretical output power of each unit under the state of not being interfered by the wake flow by adopting a wind speed interpolation method.
A real-time wake loss calculation system for an offshore in-service wind farm can operate the real-time wake loss calculation method for the offshore in-service wind farm, and comprises a data acquisition unit and a data calculation module, wherein:
the data acquisition unit is used for acquiring unit information of each wind turbine in the wind power plant area and data information of free incoming flow in the wind power plant area;
the data calculation module is used for building a downwind wake zone wind speed calculation module according to the wind turbine engineering wake model and calculating the actual wind speed of each wind turbine point position according to the downwind wake zone wind speed calculation module;
calculating the actual output power of each unit under the single wake flow influence factor corresponding to the current wind speed according to the obtained actual wind speed of each unit point location and by combining the unit information of each unit;
according to the obtained unit information of each unit, the theoretical output power of each unit under the condition that each unit is not interfered by the wake flow is calculated by combining the data information of the free incoming flow;
and calculating the real-time power generation loss sum of all the units which normally run in the current time period in the wind electric field area due to the wake effect according to the calculated actual output power of each unit and the calculated theoretical output power of each unit.
Compared with the prior art, the method has the beneficial effects that:
according to the method for calculating the wake flow loss of the offshore wind power plant in service in real time, the influence of the wake flow effect of the shutdown (wind wheel stalling) unit on the unit which normally operates in the downwind direction can be reasonably eliminated according to the actual working state of each wind power unit in the wind power plant, and a wake flow interference influence area with random free incoming wind downward direction and based on the current operation state of the whole unit is obtained; by combining real-time measurement data of wind measuring equipment in an offshore wind electric field area, online calculation of unit and whole-field energy efficiency (power and generating capacity) loss caused by a single wake factor can be realized, the problem of real-time assessment of whole-field energy efficiency loss caused by the actual wake effect of the unit in the intelligent operation and maintenance process of an offshore wind power plant on service is solved, and the assessment precision of the wake loss is improved in comparison with the investigation and design stage.
Drawings
FIG. 1 is a flow chart of a real-time wake loss calculation method for an offshore wind farm in service according to the present invention;
FIG. 2 is a schematic view of a wind measuring device located on a wind farm in the wind direction;
FIG. 3 is a schematic view of a wind measuring device located downwind of a wind farm;
FIG. 4 is a schematic view of a wind measuring device located within a wind farm;
FIG. 5 is a plot of the wake effect area produced by a wind turbine operating normally within a wind farm.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and specific embodiments.
On the basis of the background technology, the effective actual measurement wind conditions of wind measuring equipment of the offshore wind farm and the operation states of all units are combined, the units based on the engineering wake flow model and the real-time assessment method of the whole wake flow loss energy efficiency are established, and the method is an important link for realizing accurate prediction calculation of power (or generated energy) and optimizing scheduling in intelligent operation and maintenance of the offshore wind farm.
Specifically, the real-time wake loss calculation method for the offshore wind farm in service provided by the invention comprises the following steps:
The data can be obtained by a wind measuring device such as a wind measuring tower and a laser wind measuring radar which are erected in a field area, or a cabin anemometer of a first wind turbine generator, and the data can be determined according to a corresponding wind measuring device equipped in a target wind power plant, wherein:
1) if the installation point of the anemometer tower or the laser anemometer radar is arranged at the upwind area position (shown in figure 2) which is not interfered by the wake flow and is arranged relative to the wind turbine of the whole field area under the current wind direction, the average wind speed value within 10 minutes recorded by the anemometer layer with the same height as the hub of the wind turbine is directly adopted as v0And the average wind direction value in 10 minutes is taken as theta0；
2) If the installation point of the anemometer tower or the laser anemometry radar is arranged in the current wind direction and is positioned in a downwind wake superposition influence area of the whole field (as shown in fig. 3) relative to a wind turbine of the whole field area or is positioned on a booster station platform in the whole field area (as shown in fig. 4), the following reading and correcting work is performed in consideration that the current installation point is seriously interfered by the wake of a wind turbine unit on the field area at the moment, the quality of anemometry data is influenced, and the free incoming flow wind speed cannot be truly reflected:
2-1, taking the average wind direction value within 10 minutes recorded by the wind measuring tower or the highest wind measuring layer of the laser wind measuring radar as theta0；
2-2, based on the current wind direction θ0The method comprises the following steps that a lower wind power plant unit arrangement array is used for determining a first row of wind power generation units (a plurality of wind power generation units) located in the upper wind direction of the whole plant;
2-3, reading wind speed data measured by a cabin anemograph on the first row of units, wherein the data is influenced by the rotation of a wind wheel and the appearance of a lower cabin during the working of a wind turbine and is often positioned in a flow field interfered at the tail of the units, so that the undisturbed free incoming flow wind speed in front of the wind wheel of each unit is deduced by combining with a cabin Transfer Function (NTF) of the units;
2-4, averaging the undisturbed free inflow wind speeds corresponding to the first row of units to obtain the average free inflow wind speed v of the wind power plant area0；
And 3, determining the current machine set which is stopped and normally works according to the running state of each machine set of the wind power plant.
1) For the unit in a shutdown (wind wheel stalling) state, the wake effect can be ignored, the loss of the downwind speed of the wind wheel can be considered to be negligible, and the downstream wind turbine is not influenced by the wake of the wind turbine;
2) for a normally operating unit, a related engineering wake flow model needs to be selected, and then a flow area wind speed calculation module is built, specifically see step 4;
and 4, building a downwind wake area wind speed calculation module according to the wind turbine engineering wake model.
The wind turbine engineering wake flow model can select analytic models with different complexity degrees according to actual computing resource distribution of the intelligent operation and maintenance platform of the wind power plant; the following is an example of a classical Jensen one-dimensional linear wake model.
1) The wake flow model is regarded as a wake flow fieldThe initial diameter of the cross section is the diameter D of the wind wheel0The wind speed v in the wake field is relative to the wind speed v of the upstream gravity flow of the wind turbine0The diameter D of the loss cross section of the wind turbine unit is linearly increased along with the increase of the downwind distance x of the wind turbine unit, namely
D＝D(x)＝2αx+D0Formula (1)
Meanwhile, the wind speed distribution v on the cross section of the wake field with the diameter of D (x) at the position of a distance of x from the downwind direction of the impeller of the unit is uniform, namely
Wherein a is an axial induction factor of a horizontal axis wind turbine, and the value is 1/3 under an ideal condition; alpha is a wake expansion constant, and is usually 0.05 for an offshore wind farm.
2) For the calculation of the wind speed of the wake area under the multi-array wind turbines (the number of the upwind wind turbines at the current calculation position is more than 1), the approximate formula of the actual wind speed is as follows:
wherein N is the number of the wind turbines at the upstream of the current calculation position; x is the number of0Is the distance between the front and back adjacent units. For conservation, when the adjacent spacing x of multiple rows of units0When the difference is large, x0And taking the minimum value of the distance between adjacent units in the array.
1) when the downstream actual wind speed of a certain wind turbine generator is recovered to 95% of the free incoming wind speed, namely v is 95%. v0When the wake effect generated by the wind turbine is considered to be over, the farthest position of the effective wake influence diffusion region obtained by the formula (1) is x ≈ 27 · D0；
2) The maximum distance x of the combination formula (2) from the wake diffusion region obtained in the above is approximately equal to 27. multidot.D0Meanwhile, the cross section diameter expansion corresponding to the farthest distance of the wake flow effective diffusion area of the normally working unit is calculated to be D-3.7D0。
The specific engineering wake flow model related in the steps 4 and 5, the speed distribution forms of different distance sections of the wake flow area in the model and the wake flow area speed calculation mode are developed in a modularized open source mode in the whole evaluation method system, and are used for correcting, optimizing and replacing the existing wake flow model, and meanwhile, engineering wake flow models with different precisions can be flexibly selected.
1) if the target wind turbine set (number i) is located in the wake flow influence area, determining the number N of upstream wind turbines of the set and the relative distance between the upstream wind turbines, and calculating the actual wind speed v at the point position of the set through a formula (2) or a formula (3)i；
2) If the target unit (number i) is not in the wake zone, the actual wind speed v at the point position of the unitiThe wind speed v of the free incoming flow of the wind power plant area collected in the step two0。
Step 9, P obtained according to step 7 and step 8i,actAnd Pi,0Estimating the percentage of power loss P caused by wake effect of each current normal running unit of the wind power planti,wlossAnd the current 10 minutes: (
Loss of real-time power generation E in hours)i,wlossThe specific calculation method is as follows:
meanwhile, the real-time power generation loss sum E of all the units in the current 10 minutes of the whole field can be calculatedtotal,wloss：
And step 10, integrating the calculation results, carrying out statistical recording on the actual wind speed, the power loss and the power generation loss of each unit of the wind power plant (the calculation results of part of the units are shown in table 1), and recording and displaying the results in the wind power plant integrated control or intelligent operation and maintenance system.
Examples
The following table is a real-time calculation of wake energy efficiency loss in 10 minutes for a certain wind farm zone:
Claims (8)
1. a real-time calculation method for wake flow loss of an offshore wind farm in service is characterized by comprising the following steps:
step 1, acquiring unit information of each wind turbine in a wind power plant area and data information of free incoming flow in the wind power plant area;
step 2, building a wind speed calculation module in a downwind wake influence area of the wind turbine generator set according to a wind turbine engineering wake model, and calculating the actual wind speed of each wind turbine generator set point position according to the wind speed calculation module in the downwind wake influence area;
step 3, calculating the actual output power of each unit under the single wake flow influence factor corresponding to the current wind speed according to the actual wind speed at each unit point position obtained in the step 2 and by combining the unit information of each unit obtained in the step 1;
calculating theoretical output power of each unit under the state of not being interfered by the wake flow according to the unit information of each unit obtained in the step 1 and by combining the data information of the free incoming flow obtained in the step 1;
and 4, calculating the real-time power generation loss sum of all the units which normally run in the current time period in the wind electric field area according to the actual output power of each unit and the theoretical output power of each unit which are calculated in the step 3.
2. The method for calculating wake flow loss of an offshore wind farm in service according to claim 1, wherein in the step 1, the unit information comprises position coordinates, wind wheel radius and a wind speed-power curve; the data information of the free incoming flow comprises an average wind speed value of the free incoming flow in the current time period and an average wind direction value of the free incoming flow.
3. The method according to claim 2, wherein the method for calculating wake flow loss of the offshore wind farm in service in real time comprises the following specific steps:
collecting the wind data through wind measuring equipment arranged in a wind power field area, wherein the wind measuring equipment comprises a wind measuring tower, a laser wind measuring radar and an engine room anemoscope arranged on a first wind turbine generator in the wind power field area;
when the anemometer tower or the laser anemometer radar is located in an upwind direction area which is not interfered by wake flow, respectively taking an average wind direction value and an average wind speed value of the anemometer tower or the laser anemometer radar in a set time period, which are measured at an anemometer layer with the same height as a hub of a wind turbine, as an average wind direction value and an average wind speed value of free incoming flow in a wind power plant area;
when the anemometer tower or the laser anemometer radar is located on a booster station platform in a downwind wake superposition influence area or a field area of a wind power plant area, taking an average wind direction value of the anemometer tower or the laser anemometer radar in a set time period measured on the highest anemometer layer as an average wind direction value of free incoming flow in the wind power plant area; and taking the average value of the undisturbed free incoming flow wind speed in front of each wind turbine generator in the first row in the wind electric field area as the average wind speed value of the free incoming flow in the wind power plant area.
4. The method for calculating wake flow loss of an offshore wind farm in service according to claim 3, wherein the method for calculating the average value of undisturbed free incoming wind speed in front of each wind turbine in the first row in the wind farm area specifically comprises the following steps:
determining each wind turbine generator positioned in the first row of the upwind direction in the wind power plant area based on the average wind direction value of the current free incoming flow;
acquiring wind speed data measured by a cabin anemometer on each wind turbine generator in the first row, deducing the measured wind speed data by utilizing a cabin transfer function to obtain wind speeds which are not interfered in front of each wind turbine generator in the first row, and averaging the wind speeds which are not interfered in front of each wind turbine generator in the first row to serve as an average wind speed value of free incoming flow in a wind power plant area.
5. The method for calculating wake loss of an offshore wind farm in service in real time according to claim 1, wherein in the step 2, a wind speed calculation module in a downwind wake zone is built according to a wind turbine engineering wake model, and the specific method is as follows:
s201, quantitatively judging wake flow influence areas generated by all wind generation sets which normally operate in a wind power plant according to a wind turbine engineering wake flow model;
s202, according to the unit information and the data information of the free incoming flow obtained in the step 1, combining the wake flow influence areas generated by the wind turbine units obtained in the step S201 and the relative position arrangement of the wind turbine units in normal operation, and drawing a planar wake flow influence area graph in the whole wind power plant, wherein the height of the planar wake flow influence area graph is equal to that of a hub of the wind turbine;
s203, judging whether each wind turbine generator in normal operation is located in a wake flow influence area generated by a wind turbine generator thereon according to the wake flow influence area graph obtained in S202; and calculating the actual wind speed at the point position of each wind turbine generator according to the judgment result.
6. The method for calculating wake flow loss of an offshore wind farm in service in real time according to claim 1, wherein in step 3, the actual output power of each unit under a single wake flow influence factor corresponding to the current wind speed is calculated according to the actual wind speed at each unit point location obtained in step 2 by combining the unit information of each unit obtained in step 1, and the specific method is as follows:
and (3) according to the actual wind speed of each unit point position obtained in the step (2), combining the unit information of each unit obtained in the step (1), and obtaining the actual output power of each unit under the single wake flow influence factor corresponding to the current actual wind speed by adopting a wind speed difference method.
7. The method for calculating wake flow loss of an offshore wind farm in service in real time according to claim 1, wherein in step 3, the theoretical output power of each unit under the state of not being disturbed by wake flow is calculated according to the unit information of each unit obtained in step 1 and by combining the data information of free incoming flow obtained in step 1, and the specific method is as follows:
and (3) according to the unit information of each unit obtained in the step (1), combining the data information of the free incoming flow obtained in the step (1), and obtaining the theoretical output power of each unit under the state of not being interfered by the wake flow by adopting a wind speed interpolation method.
8. A real-time wake loss calculation system for an offshore wind farm in service, which is capable of operating the real-time wake loss calculation method for the offshore wind farm in service according to any one of claims 1 to 7, and comprises a data acquisition unit and a data calculation module, wherein:
the data acquisition unit is used for acquiring unit information of each wind turbine in the wind power plant area and data information of free incoming flow in the wind power plant area;
the data calculation module is used for building a downwind wake zone wind speed calculation module according to the wind turbine engineering wake model and calculating the actual wind speed of each wind turbine point position according to the downwind wake zone wind speed calculation module;
calculating the actual output power of each unit under the single wake flow influence factor corresponding to the current wind speed according to the obtained actual wind speed of each unit point location and by combining the unit information of each unit;
according to the obtained unit information of each unit, the theoretical output power of each unit under the condition that each unit is not interfered by the wake flow is calculated by combining the data information of the free incoming flow;
and calculating the real-time power generation loss sum of all the units which normally run in the current time period in the wind electric field area due to the wake effect according to the calculated actual output power of each unit and the calculated theoretical output power of each unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110353571.3A CN113033009B (en) | 2021-03-31 | 2021-03-31 | Real-time calculation method for wake flow loss of offshore wind farm in service |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110353571.3A CN113033009B (en) | 2021-03-31 | 2021-03-31 | Real-time calculation method for wake flow loss of offshore wind farm in service |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113033009A true CN113033009A (en) | 2021-06-25 |
| CN113033009B CN113033009B (en) | 2023-01-31 |
Family
ID=76453615
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110353571.3A Active CN113033009B (en) | 2021-03-31 | 2021-03-31 | Real-time calculation method for wake flow loss of offshore wind farm in service |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113033009B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113326636A (en) * | 2021-06-30 | 2021-08-31 | 广东电网有限责任公司 | Method and system for quickly generating time sequence output curve of offshore wind farm in open sea |
| CN113642884A (en) * | 2021-08-10 | 2021-11-12 | 山东中车风电有限公司 | Wind power plant generated energy loss statistical method and system under power loss condition of power grid |
| CN115935645A (en) * | 2022-12-05 | 2023-04-07 | 山东大学 | Wind power plant up-regulation reserve capacity evaluation method and system based on anemometer tower data |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120179376A1 (en) * | 2011-01-11 | 2012-07-12 | Ophir Corporation | Methods And Apparatus For Monitoring Complex Flow Fields For Wind Turbine Applications |
| CN104699936A (en) * | 2014-08-18 | 2015-06-10 | 沈阳工业大学 | Sector management method based on CFD short-term wind speed forecasting wind power plant |
| CN104794357A (en) * | 2015-04-29 | 2015-07-22 | 南京航空航天大学 | Two-dimensional wake flow numerical simulation method |
| WO2016023527A1 (en) * | 2014-08-14 | 2016-02-18 | 国家电网公司 | Method based on anemometer tower measurement data for determining wind farm discarded wind power |
| CN106321368A (en) * | 2016-08-12 | 2017-01-11 | 峰能斯格尔（北京）可再生能源科技有限公司 | Offshore wind power plant wake flow loss measuring method based on running draught fan SCADA data |
| CN109376389A (en) * | 2018-09-20 | 2019-02-22 | 南京航空航天大学 | A kind of three-dimensional wake method for numerical simulation based on 2D_k Jensen model |
| CN112149363A (en) * | 2020-09-03 | 2020-12-29 | 南京理工大学 | Two-dimensional Jensen model and double-beam laser radar-based wake region fan power prediction method |
| CN112267972A (en) * | 2020-10-22 | 2021-01-26 | 华能国际电力股份有限公司 | Intelligent judgment method for abnormity of power curve of wind turbine generator |
-
2021
- 2021-03-31 CN CN202110353571.3A patent/CN113033009B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120179376A1 (en) * | 2011-01-11 | 2012-07-12 | Ophir Corporation | Methods And Apparatus For Monitoring Complex Flow Fields For Wind Turbine Applications |
| WO2016023527A1 (en) * | 2014-08-14 | 2016-02-18 | 国家电网公司 | Method based on anemometer tower measurement data for determining wind farm discarded wind power |
| CN104699936A (en) * | 2014-08-18 | 2015-06-10 | 沈阳工业大学 | Sector management method based on CFD short-term wind speed forecasting wind power plant |
| CN104794357A (en) * | 2015-04-29 | 2015-07-22 | 南京航空航天大学 | Two-dimensional wake flow numerical simulation method |
| CN106321368A (en) * | 2016-08-12 | 2017-01-11 | 峰能斯格尔（北京）可再生能源科技有限公司 | Offshore wind power plant wake flow loss measuring method based on running draught fan SCADA data |
| CN109376389A (en) * | 2018-09-20 | 2019-02-22 | 南京航空航天大学 | A kind of three-dimensional wake method for numerical simulation based on 2D_k Jensen model |
| CN112149363A (en) * | 2020-09-03 | 2020-12-29 | 南京理工大学 | Two-dimensional Jensen model and double-beam laser radar-based wake region fan power prediction method |
| CN112267972A (en) * | 2020-10-22 | 2021-01-26 | 华能国际电力股份有限公司 | Intelligent judgment method for abnormity of power curve of wind turbine generator |
Non-Patent Citations (5)
| Title |
|---|
| JAVIER SERRANO GONZÁLEZ等: "Optimal control of wind turbines for minimizing overall wake effect losses in offshore wind farms", 《EUROCON 2013》 * |
| 杨明明: "基于机舱传递函数的风机性能评估", 《水电与新能源》 * |
| 王远等: "基于线性模型的风电场发电量计算与分析", 《南京航空航天大学学报》 * |
| 赵勇等: "风力发电机状态监测与故障诊断技术综述", 《热力发电》 * |
| 郑爱玲等: "大型海上风电场尾流损失计算方法对比", 《风能》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113326636A (en) * | 2021-06-30 | 2021-08-31 | 广东电网有限责任公司 | Method and system for quickly generating time sequence output curve of offshore wind farm in open sea |
| CN113642884A (en) * | 2021-08-10 | 2021-11-12 | 山东中车风电有限公司 | Wind power plant generated energy loss statistical method and system under power loss condition of power grid |
| CN113642884B (en) * | 2021-08-10 | 2024-03-29 | 山东中车风电有限公司 | Wind farm generating capacity loss statistical method and system under power grid power failure condition |
| CN115935645A (en) * | 2022-12-05 | 2023-04-07 | 山东大学 | Wind power plant up-regulation reserve capacity evaluation method and system based on anemometer tower data |
| CN115935645B (en) * | 2022-12-05 | 2024-05-17 | 山东大学 | Wind power plant up-regulation reserve capacity evaluation method and system based on anemometer tower data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113033009B (en) | 2023-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113033009B (en) | Real-time calculation method for wake flow loss of offshore wind farm in service | |
| CN108953060B (en) | Wind power plant field level yaw control method based on laser radar anemoscope | |
| Adaramola et al. | Experimental investigation of wake effects on wind turbine performance | |
| CN104699936A (en) | Sector management method based on CFD short-term wind speed forecasting wind power plant | |
| CN101949363A (en) | Method for grouping wind generating sets by taking input wind speed and random fluctuation of wind direction of wind farm into consideration | |
| US20120101644A1 (en) | Control system and method of predicting wind turbine power generation | |
| CN109376389A (en) | A kind of three-dimensional wake method for numerical simulation based on 2D_k Jensen model | |
| CN113205210B (en) | Wind power plant wind speed and power prediction method, system and equipment for complex terrain and storage medium | |
| CN103225588B (en) | Wind power generation power curve optimization method based on pattern recognition technology | |
| CN109118057A (en) | A kind of Wind turbines power output evaluation method based on realtime power curve | |
| CN106762452A (en) | Fan master control system fault diagnosis and on-line monitoring method based on data-driven | |
| CN111342499B (en) | Wind farm real-time scheduling method based on wind power prediction data | |
| CN115358606A (en) | Method and system for evaluating energy efficiency of in-service wind power plant under gentle terrain | |
| Qu et al. | An improved data-driven methodology and field-test verification of yaw misalignment calibration on wind turbines | |
| CN114033617B (en) | Controllable wind power generation method and system with control parameters adjusted in self-adaptive mode | |
| CN113586336B (en) | Control method and control device of wind generating set and computer readable storage medium | |
| CN105023099A (en) | Wind driven generator output evaluation method considering turbulence intensity | |
| Ma et al. | A study of fault statistical analysis and maintenance policy of wind turbine system | |
| CN111985097A (en) | Offshore wind turbine generator wake flow calculation method considering influence of wave height | |
| CN114458516B (en) | On-line indirect measurement system and method for pitching and yawing moments of wind energy or tidal current energy generator set | |
| CN114186407A (en) | Wind power plant wake velocity field calculation method and system with parameters capable of being adjusted in self-adaptive mode | |
| CN113807693A (en) | Wind turbine generator generating capacity optimization effect evaluation method based on airborne radar | |
| CN115935645B (en) | Wind power plant up-regulation reserve capacity evaluation method and system based on anemometer tower data | |
| Pan et al. | A wake interaction model for the coordinated control of wind farms | |
| Baker et al. | Wake measurements around operating wind turbines |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |