CN109948864A - A kind of mima type microrelief regional wind power icing prediction technique and system - Google Patents
A kind of mima type microrelief regional wind power icing prediction technique and system Download PDFInfo
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Abstract
The present invention relates to electrical engineering technical field, disclose a kind of mima type microrelief regional wind power icing prediction technique and system, it is low to solve wind power generating set power output existing in the prior art, can not Accurate Prediction wind power output the technical issues of；The method comprise the steps that acquiring the basic information data of each Wind turbines in wind power plant to be analyzed, and calculate first weather information data of each Wind turbines in the following setting time；The basic information data of each Wind turbines is matched with the Rule of judgment of mima type microrelief type, determines mima type microrelief type belonging to each Wind turbines；The second weather information data that each Wind turbines are calculated according to mima type microrelief type belonging to each Wind turbines corrects first weather information data using second weather information data；The icing situation of each Wind turbines is calculated according to revised first weather information data.
Description
Technical field
The present invention relates to electrical engineering technical field more particularly to a kind of mima type microrelief regional wind power icing prediction technique and
System.
Background technique
Fossil energy based on coal, petroleum easily does great damage to ecological environment, in recent years, generation of electricity by new energy hair
Rapidly, wherein the quantity of wind power plant is significantly increased, and becomes the main force of generation of electricity by new energy for exhibition.But due to wind power plant multidigit
In the place of the higher mima type microrelief of the height above sea level such as ridge, mountain top, temperature is relatively low, and humidity is bigger than normal, and fan blade is easy to icing.Once
When icing occurs in fan blade, wind power generation unit blade performance is caused to change, the power output that will lead to Wind turbines is reduced, in leaf
Piece is also possible that coating ice falling causes safety accident when rotating, blade even can be latched, shut down when serious regelation, especially cold
When damp process is broken out, wind power generating set power output, which is likely to occur, to be greatly reduced, and is winter Accurate Prediction wind power output, science formulation
Wind-power electricity generation plan increases difficulty, further influences the safe and stable operation of power grid.
Summary of the invention
It is an object of that present invention to provide a kind of mima type microrelief regional wind power icing prediction technique and systems, above-mentioned existing to solve
Have the power output of wind power generating set present in technology low, can not Accurate Prediction wind power output, no forensic science formulates wind-power electricity generation meter
The technical issues of drawing.
To achieve the above object, the present invention provides a kind of mima type microrelief regional wind power icing prediction technique, including it is following
Step:
S1: acquiring the basic information data of each Wind turbines in wind power plant to be analyzed, and will calculate each Wind turbines in future
The first weather information data in setting time；
S2: the basic information data of each Wind turbines is matched with the Rule of judgment of mima type microrelief type, is determined
Mima type microrelief type belonging to each Wind turbines；
S3: the second weather information data of each Wind turbines is calculated according to mima type microrelief type belonging to each Wind turbines, is adopted
First weather information data is corrected with second weather information data；
S4: the icing situation of each Wind turbines is calculated according to revised first weather information data.
Preferably, in the S2, the Rule of judgment of the mima type microrelief type includes:
For judging that terrain type locating for each Wind turbines belongs to any landform class in high mountain, hills or Plain
First Rule of judgment of type；
For judging the of any topographical position that topographical position locating for each Wind turbines belongs in mountain top or hill-side
Two Rule of judgment；
For judging the of any gradient type that gradient type locating for each Wind turbines belongs in abrupt slope or gentle slope
Three Rule of judgment.
Preferably, the basic information data includes the height above sea level and the gradient of each Wind turbines in wind power plant, and described first sentences
Broken strip part are as follows:
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than 500m, landform class where the Wind turbines is judged
Type is high mountain；
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than that 100m is less than 500m, the Wind turbines institute is judged
It is hills in terrain type；
If the Wind turbines position height above sea level of wind power plant to be analyzed is less than 100m, landform where the Wind turbines is judged
Type is Plain；
Second Rule of judgment are as follows:
If highest height above sea level is no more than the wind turbine within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Group position height above sea level, topographical position is mountain top where judging the Wind turbines.
If highest height above sea level is more than the Wind turbines within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Position height above sea level, topographical position is hill-side where judging the Wind turbines；
The third Rule of judgment are as follows:
If the Wind turbines position gradient of wind power plant to be analyzed is not less than 30 °, it is judged as slope where the Wind turbines
Degree type is abrupt slope.
If the Wind turbines position gradient of wind power plant to be analyzed less than 30 °, is judged as the gradient where the Wind turbines
Type is gentle slope.
Preferably, first weather information includes wind speed, in the S3, is corrected using second weather information data
First weather information data specifically includes:
Wind speed correction factor of the wind power plant unit under corresponding mima type microrelief is determined, according to wind speed correction factor amendment the
Wind speed in one weather information data；
Wherein, the calculation formula of wind speed is corrected are as follows:
Scor=Sorigin*δ；
Wherein, ScorFor revised wind speed, SoriginFor the wind speed in the first weather information data, δ is correction factor.
Preferably, first weather information includes temperature, in the S3, is corrected using second weather information data
First weather information data specifically includes:
According to the corresponding mima type microrelief type set temperature modification rule of wind power plant unit, repaired according to the temperature adjustmemt rule
Temperature data in positive first weather information data.
Preferably, the temperature adjustmemt rule of the setting are as follows: height above sea level often increases 100 meters, and temperature reduces by 0.6 DEG C.
Preferably, the basic information data further includes wind power plant title, Wind turbines number of units, every Wind turbines place
One of the longitude and latitude of position and blade height or any several combination.
Preferably, first weather information data further includes humidity and/or precipitation.
Preferably, first weather information data tool of each Wind turbines of the calculating described in the S1 in the following setting time
Body are as follows: according to 3 × 3km resolution ratio Forecast Mode forecast result, calculate each Wind turbines position within three days futures by hour
First weather information.
The inventive concept total as one, the present invention also provides a kind of mima type microrelief regional wind power icing forecasting system, packets
It includes memory, processor and is stored in the computer program that can be run on the memory and on the processor, the place
Manage the step of realizing the above method when device executes described program.
The invention has the following advantages:
The present invention provides a kind of mima type microrelief regional wind power icing prediction technique and system, by each wind in wind power plant
Mima type microrelief locating for motor group is judged that the mima type microrelief type where each Wind turbines realizes the meteorology to Wind turbines
The amendment of information data realizes being effectively predicted for wind power plant icing, improves the accuracy of output of wind electric field prediction, further
The prevention in advance that wind power plant icing can be achieved starts icing in blade and implements blade deicing measure, realizes scientific deicing, is wind
Motor group icing problem provides the solution of science, has ensured safe operation of electric network.
Below with reference to accompanying drawings, the present invention is described in further detail.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present invention, schematic reality of the invention
It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the mima type microrelief regional wind power icing prediction technique flow chart of the preferred embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims
Implement with the multitude of different ways of covering.
Unless otherwise defined, all technical terms used hereinafter and the normally understood meaning of those skilled in the art
It is identical." first ", " second " used in present patent application specification and claims and similar word are simultaneously
Any sequence, quantity or importance are not indicated, and are intended merely to facilitate and corresponding components are distinguished.
Embodiment 1
The present embodiment provides a kind of mima type microrelief regional wind power icing prediction techniques, comprising the following steps:
S1: acquiring the basic information data of each Wind turbines in wind power plant to be analyzed, and will calculate each Wind turbines in future
The first weather information data in setting time；
S2: the basic information data of each Wind turbines is matched with the Rule of judgment of mima type microrelief type, determines each wind
Mima type microrelief type belonging to motor group；
S3: the second weather information data of each Wind turbines is calculated according to mima type microrelief type belonging to each Wind turbines, is adopted
The first weather information data is corrected with the second weather information data；
S4: the icing situation of each Wind turbines is calculated according to revised first weather information data.
Above-mentioned mima type microrelief regional wind power icing prediction technique, by micro- locating for each Wind turbines in wind power plant
Landform is judged that the mima type microrelief type where each Wind turbines realizes repairing to the weather information data of Wind turbines
Just, being effectively predicted for wind power plant icing is realized, the accuracy of output of wind electric field prediction is improved, wind power plant further can be achieved
The prevention in advance of icing starts icing in blade and implements blade deicing measure, realizes scientific deicing, asks for Wind turbines icing
Topic provides the solution of science, has ensured safe operation of electric network.
When actual implementation, above method also can be carried out expansion or application below, the technical characteristic in following embodiment
It can be combined with each other, embodiment not as the normal combination to technical characteristic only as an example, limit.
As the present embodiment preferred embodiment, high mountain, hills, Plain are considered as terrain type, mountain top, hill-side are regarded
For topographical position, abrupt slope, gentle slope are considered as gradient type.In S2, the Rule of judgment of mima type microrelief type includes: for judging each wind
Terrain type locating for motor group belongs to the first Rule of judgment of any terrain type in high mountain, hills or Plain；For
Judge the second Rule of judgment of any topographical position that topographical position locating for each Wind turbines belongs in mountain top or hill-side；With
In the third Rule of judgment for judging any gradient type that gradient type locating for each Wind turbines belongs in abrupt slope or gentle slope.
As the present embodiment preferred embodiment, basic information data include in wind power plant the height above sea level of each Wind turbines and
The gradient, the first Rule of judgment are as follows:
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than 500m, landform class where the Wind turbines is judged
Type is high mountain；
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than that 100m is less than 500m, the Wind turbines institute is judged
It is hills in terrain type；
If the Wind turbines position height above sea level of wind power plant to be analyzed is less than 100m, landform where the Wind turbines is judged
Type is Plain；
Second Rule of judgment are as follows:
If highest height above sea level is no more than the wind turbine within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Group position height above sea level, topographical position is mountain top where judging the Wind turbines.
If highest height above sea level is more than the Wind turbines within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Position height above sea level, topographical position is hill-side where judging the Wind turbines；
Third Rule of judgment are as follows:
If the Wind turbines position gradient of wind power plant to be analyzed is not less than 30 °, it is judged as slope where the Wind turbines
Degree type is abrupt slope.
If the Wind turbines position gradient of wind power plant to be analyzed less than 30 °, is judged as the gradient where the Wind turbines
Type is gentle slope.
As the present embodiment preferred embodiment, the first weather information includes temperature and wind speed, in S3, using the second gas
The first weather information data of image information data correction specifically includes:
It determines wind speed correction factor of the wind power plant unit under corresponding mima type microrelief, the first gas is corrected according to wind speed correction factor
Wind speed in image information data.
Specifically, in the present embodiment, wind speed correction factor of the wind power plant unit under corresponding mima type microrelief is as shown in table 1 below:
Wind speed correction factor of the 1 wind power plant unit of table under corresponding mima type microrelief
| High mountain | Hills | Plain | |
| Abrupt slope mountain top | 1.44 | 1.32 | 1 |
| Abrupt slope hill-side | 1.32 | 1.2 | 1 |
| Gentle slope mountain top | 1.2 | 1.1 | 1 |
| Gentle slope hill-side | 1.1 | 1.05 | 1 |
According to table 1, if terrain type locating for Wind turbines is high mountain, topographical position is mountain top and gradient type is
When abrupt slope, its wind speed is modified to 1.44 times of calculation of wind speed in S1.
Wherein, the calculation formula of wind speed is corrected are as follows:
Scor=Sorigin*δ；
Wherein, ScorFor revised wind speed, SoriginFor the wind speed in the first weather information data, δ is correction factor.
The correction factor of remaining terrain type and topographical position all can be according to known to table, here, not repeating.It needs to illustrate
, above-mentioned wind speed correction factor is obtained according to live practical experience, when carrying out the amendment of weather information data, is also wrapped
Include the amendment to temperature.Since wind speed and temperature are obvious by local Micro-terrain Action, make after amendment wind speed and temperature with it is practical more
Add identical.The weather information data of each Wind turbines can more accurately be obtained.
According to the corresponding mima type microrelief type set temperature modification rule of wind power plant unit, according to temperature adjustmemt rule amendment the
Temperature data in one weather information data.In the present embodiment, the temperature adjustmemt rule of setting are as follows: height above sea level often increases 100 meters, temperature
Degree reduces by 0.6 DEG C.
By combining the type of specific mima type microrelief to calculate the weather information data of each Wind turbines, and further correct to wind
The prediction result of motor group weather information can more fully consider the factor for influencing the icing situation of each Wind turbines, can be more
Accurately more timely calculate the icing situation of Wind turbines.
As the present embodiment preferred embodiment, basic information data further include wind power plant title, Wind turbines number of units,
One of the longitude and latitude of every Wind turbines position and blade height or any several combination.
As the present embodiment preferred embodiment, the first weather information data further includes humidity and/or precipitation.
As the present embodiment preferred embodiment, first gas of each Wind turbines in the following setting time is calculated in S1
Image information data specifically: according to 3 × 3km resolution ratio Forecast Mode forecast result, calculate each Wind turbines position in future three
By the first weather information of hour in it.It should be noted that being forecast in the present embodiment according to 3 × 3km resolution ratio Forecast Mode
As a result, the weather information data of Wind turbines position is chosen, such as wind speed in proper range, drop in consideration environment that can be comprehensive
The influence to Wind turbines such as water can more accurately grasp the weather information of Wind turbines.But the present invention limits not to this,
It, can be with the resolution value appropriate for increasing or reducing the Forecast Mode in the case where phase same-action can be reached.
In addition, it is worth noting that, in the present embodiment, using icing prediction model, such as common makkonen icing
Model calculates wind power generation unit blade icing situation, can fast and effeciently obtain calculated result.In the present embodiment, using common
Makkonen icing model is calculated, calculation formula are as follows:
In formula, a1For water droplet collision rate, a2For freezing rate, a3For growth rate, w is mass concentration, and v is particle rapidity, and A is
Icing conductor cross sectional area.M is to increase the ice cover opened in unit length.
Embodiment 2
With above method embodiment correspondingly, the present embodiment provides a kind of mima type microrelief regional wind power icing prediction be
System including memory, processor and stores the computer program that can be run on a memory and on a processor, and processor executes
The step of above method is realized when program.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of mima type microrelief regional wind power icing prediction technique, which comprises the following steps:
S1: acquiring the basic information data of each Wind turbines in wind power plant to be analyzed, and calculates each Wind turbines and set in future
The first weather information data in time；
S2: the basic information data of each Wind turbines is matched with the Rule of judgment of mima type microrelief type, determines each wind
Mima type microrelief type belonging to motor group；
S3: the second weather information data of each Wind turbines is calculated according to mima type microrelief type belonging to each Wind turbines, using institute
It states the second weather information data and corrects first weather information data；
S4: the icing situation of each Wind turbines is calculated according to revised first weather information data.
2. mima type microrelief regional wind power icing prediction technique according to claim 1, which is characterized in that in the S2, institute
The Rule of judgment for stating mima type microrelief type includes:
For judging any terrain type that terrain type locating for each Wind turbines belongs in high mountain, hills or Plain
First Rule of judgment；
For judging that the second of any topographical position that topographical position locating for each Wind turbines belongs in mountain top or hill-side sentences
Broken strip part；
For judging that the third of any gradient type that gradient type locating for each Wind turbines belongs in abrupt slope or gentle slope is sentenced
Broken strip part.
3. mima type microrelief regional wind power icing prediction technique according to claim 2, which is characterized in that the basic information
Data include the height above sea level and the gradient of each Wind turbines in wind power plant, first Rule of judgment are as follows:
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than 500m, judge that terrain type where the Wind turbines is
High mountain；
If the Wind turbines position height above sea level of wind power plant to be analyzed is more than that 100m is less than 500m, the Wind turbines location is judged
Shape type is hills；
If the Wind turbines position height above sea level of wind power plant to be analyzed is less than 100m, terrain type where the Wind turbines is judged
For Plain；
Second Rule of judgment are as follows:
If highest height above sea level is no more than the Wind turbines position within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Height above sea level is set, topographical position is mountain top where judging the Wind turbines；
If highest height above sea level is more than the Wind turbines position within the scope of 500m around the Wind turbines position of wind power plant to be analyzed
Height above sea level, topographical position is hill-side where judging the Wind turbines；
The third Rule of judgment are as follows:
If the Wind turbines position gradient of wind power plant to be analyzed is not less than 30 °, it is judged as gradient class where the Wind turbines
Type is abrupt slope；
If the Wind turbines position gradient of wind power plant to be analyzed less than 30 °, is judged as gradient type where the Wind turbines
For gentle slope.
4. mima type microrelief regional wind power icing prediction technique according to claim 1, which is characterized in that described first is meteorological
Information includes wind speed, in the S3, corrects first weather information data using second weather information data and specifically wraps
It includes:
It determines wind speed correction factor of the wind power plant unit under corresponding mima type microrelief, the first gas is corrected according to the wind speed correction factor
Wind speed in image information data；
Wherein, the calculation formula of wind speed is corrected are as follows:
Scor=Sorigin*δ；
Wherein, ScorFor revised wind speed, SoriginFor the wind speed in the first weather information data, δ is correction factor.
5. mima type microrelief regional wind power icing prediction technique according to claim 1 or 4, which is characterized in that described first
Weather information includes temperature, in the S3, corrects first weather information data using second weather information data and has
Body includes:
According to the corresponding mima type microrelief type set temperature modification rule of wind power plant unit, according to temperature adjustmemt rule amendment the
Temperature data in one weather information data.
6. mima type microrelief regional wind power icing prediction technique according to claim 5, which is characterized in that the temperature of the setting
Spend modification rule are as follows: height above sea level often increases 100 meters, and temperature reduces by 0.6 DEG C.
7. mima type microrelief regional wind power icing prediction technique according to claim 1 or 3, which is characterized in that the basis
Information data further includes that wind power plant title, Wind turbines number of units, the longitude and latitude of every Wind turbines position and blade are high
One of degree or any several combination.
8. mima type microrelief regional wind power icing prediction technique according to claim 1 or 4, which is characterized in that described first
Weather information data further includes humidity and/or precipitation.
9. mima type microrelief regional wind power icing prediction technique according to claim 1, which is characterized in that described in the S1
Calculate first weather information data of each Wind turbines in the following setting time specifically: mould is forecast according to 3 × 3km resolution ratio
Formula forecast result will calculate each Wind turbines position within three days futures by the first weather information of hour.
10. a kind of mima type microrelief regional wind power icing forecasting system, including memory, processor and it is stored on the memory
And the computer program that can be run on the processor, which is characterized in that the processor is realized when executing described program
The step of stating any one of claim 1-9 the method.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111696097A (en) * | 2020-06-15 | 2020-09-22 | 国网山东省电力公司平邑县供电公司 | Cable on-line monitoring method and device |
| CN112446535A (en) * | 2020-11-10 | 2021-03-05 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Power transmission line icing thickness forecasting method and device based on icing type judgment |
| CN112801429A (en) * | 2021-04-12 | 2021-05-14 | 湖南防灾科技有限公司 | Micro-terrain wind power calculation method, device and system |
| CN115438554A (en) * | 2022-11-04 | 2022-12-06 | 国网江西省电力有限公司电力科学研究院 | Wind power icing prediction method based on weather forecast |
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2019
- 2019-03-29 CN CN201910251494.3A patent/CN109948864A/en active Pending
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111696097A (en) * | 2020-06-15 | 2020-09-22 | 国网山东省电力公司平邑县供电公司 | Cable on-line monitoring method and device |
| CN112446535A (en) * | 2020-11-10 | 2021-03-05 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Power transmission line icing thickness forecasting method and device based on icing type judgment |
| CN112801429A (en) * | 2021-04-12 | 2021-05-14 | 湖南防灾科技有限公司 | Micro-terrain wind power calculation method, device and system |
| CN115438554A (en) * | 2022-11-04 | 2022-12-06 | 国网江西省电力有限公司电力科学研究院 | Wind power icing prediction method based on weather forecast |
| CN115438554B (en) * | 2022-11-04 | 2023-03-24 | 国网江西省电力有限公司电力科学研究院 | Wind power icing prediction method based on weather forecast |
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Application publication date: 20190628 |
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