CN108695845A - A kind of computational methods and system of Wind turbines availability - Google Patents

A kind of computational methods and system of Wind turbines availability Download PDF

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Publication number
CN108695845A
CN108695845A CN201810524563.9A CN201810524563A CN108695845A CN 108695845 A CN108695845 A CN 108695845A CN 201810524563 A CN201810524563 A CN 201810524563A CN 108695845 A CN108695845 A CN 108695845A
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CN
China
Prior art keywords
generated energy
wind turbines
statistical information
availability
preset duration
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Pending
Application number
CN201810524563.9A
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Chinese (zh)
Inventor
黄德华
倪孟岩
李广顺
林开龙
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Huarun Power And Wind Energy (shantou Chaonan) Co Ltd
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Huarun Power And Wind Energy (shantou Chaonan) Co Ltd
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Application filed by Huarun Power And Wind Energy (shantou Chaonan) Co Ltd filed Critical Huarun Power And Wind Energy (shantou Chaonan) Co Ltd
Priority to CN201810524563.9A priority Critical patent/CN108695845A/en
Publication of CN108695845A publication Critical patent/CN108695845A/en
Pending legal-status Critical Current

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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention discloses a kind of computational methods and system of Wind turbines availability, the generating capacity situation for reflecting unit, and can be further used for assessing and designing the deviation of power generation situation.Present invention method includes:Obtain generated energy statistical information of the Wind turbines in preset duration;Wind turbines availability is calculated according to the generated energy statistical information in the preset duration.Therefore, due to the unstable characteristic of wind energy, collected wind energy of the same wind turbine in different time sections can not possibly be completely the same, based on the Wind turbines availability that the time is calculated in compared with the prior art, Wind turbines availability is calculated by generated energy statistical information in the present invention, examination based on energy, more accurately reflects out the generating capacity situation of Wind turbines, and can be further used for assessing and designing the deviation of power generation situation.

Description

A kind of computational methods and system of Wind turbines availability
Technical field
The present invention relates to wind power generation field more particularly to a kind of computational methods and system of Wind turbines availability.
Background technology
With the exhaustion of conventional energy resource, regenerative resource will be as the important component of following energy.Due to wind energy Its storage capacity is easily formed scale, and wind generating technology relative maturity again greatly, and therefore, wind energy exists as a kind of green energy resource Recent decades have obtained extensive development and utilization, also promise to be following irreplaceable one of the renewable resource, but by Have intermittent and randomness, the unstable energy size for causing Wind turbines to generate of wind energy unstable in wind energy itself.
In the prior art, it needs to assess to optimize the management of wind power plant the implementations reliable for operation of Wind turbines, The implementations reliable for operation of Wind turbines refer to collection during production run to equipment dependability data, arrange and point Analysis, to judge the operation conditions of equipment, is safeguarded and steady by the situation of change to collecting, arranging data for post facility Fixed operation provides data reference.Assess as running of wind generating set reliability situation one of the availability of Wind turbines is important Index refers to proportion of the practical part utilized of Wind turbines shared by the wind energy by the Wind turbines, can by wind turbine The availability of Wind turbines is calculated with the ratio of duration in duration and statistics phase, and then reflects that the Wind turbines are corresponding Implementations reliable for operation.
However, due to the unstable characteristic of wind energy, collected wind energy of the same wind turbine in different time sections can not Can be completely the same, therefore, the Wind turbines availability calculated based on run time can not good reaction wind turbine The implementations reliable for operation of group.
Invention content
An embodiment of the present invention provides a kind of computational methods and system of Wind turbines availability, for reflecting unit Generating capacity situation, and will be further used for assessment with design power generation situation deviation.
First aspect of the embodiment of the present invention provides a kind of computational methods of Wind turbines availability, including:
Obtain generated energy statistical information of the Wind turbines in preset duration;
Wind turbines availability is calculated according to the generated energy statistical information in the preset duration.
Optionally, the acquiring unit is specifically used for:
Generated energy statistical information of the Wind turbines in preset duration is obtained in SCADA system.
Optionally the generated energy statistical information includes actual power generation, loss generated energy.
Optionally, the loss generated energy includes unit reason loss generated energy and/or non-unit reason loss generated energy.
Second aspect of the embodiment of the present invention provides a kind of computing system of Wind turbines availability, including:Obtain wind Generated energy statistical information of the motor group in preset duration;
Wind turbines availability is calculated according to the generated energy statistical information in the preset duration.
Optionally, the generated energy statistical information for obtaining Wind turbines in preset duration includes:
Generated energy statistical information of the Wind turbines in preset duration is obtained in SCADA system.
Optionally, the generated energy statistical information includes actual power generation, loss generated energy.
Optionally, the loss generated energy includes unit reason loss generated energy and/or non-unit reason loss generated energy.
Second aspect of the embodiment of the present invention provides a kind of computer installation, including:
Processor, memory, input-output equipment and bus;
The processor, memory, input-output equipment are connected with the bus respectively;
The processor is used to execute the method as described in first aspect of the embodiment of the present invention and embodiment.
Second aspect of the embodiment of the present invention provide it is a kind of comprising instruction computer program product, when its on computers When operation so that the computer executes the method as described in first aspect of the embodiment of the present invention and embodiment.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:Wind turbines are obtained when default Generated energy statistical information in length;Wind turbines availability is calculated according to the generated energy statistical information in the preset duration. Therefore, because the characteristic that wind energy is unstable, collected wind energy of the same wind turbine in different time sections is it is not possible that complete one Cause, compared with the prior art in the Wind turbines availability that is calculated based on the time, counted by generated energy in the present invention Information calculates Wind turbines availability, and the examination based on energy more accurately reflects out the generating capacity of Wind turbines Situation, and can be further used for assessing and designing the deviation of power generation situation.
Description of the drawings
Fig. 1 is an a kind of schematic diagram of the computational methods of Wind turbines availability in the embodiment of the present invention;
Fig. 2 is an a kind of schematic diagram of the computing system of Wind turbines availability in the embodiment of the present invention;
Fig. 3 is a schematic diagram of Computer device of the embodiment of the present invention.
Specific implementation mode
An embodiment of the present invention provides a kind of computational methods and system of Wind turbines availability, for reflecting unit Generating capacity situation, and will be further used for assessment with design power generation situation deviation.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The every other embodiment that member is obtained without making creative work should all belong to the model that the present invention protects It encloses.
Term " first ", " second ", " third " in description and claims of this specification and above-mentioned attached drawing, " Four " etc. be for distinguishing similar object, without being used to describe specific sequence or precedence.It should be appreciated that using in this way Data can be interchanged in the appropriate case, so that the embodiments described herein can be in addition to illustrating or describing herein Sequence other than appearance is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that covering is non-exclusive Include to be not necessarily limited to clearly arrange for example, containing the process of series of steps or unit, method, system, product or equipment Those of go out step or unit, but may include not listing clearly or solid for these processes, method, product or equipment The other steps or unit having.
In order to make it easy to understand, the detailed process in the embodiment of the present invention is described below, referring to Fig. 1, of the invention A kind of computational methods of Wind turbines availability include in embodiment:
101, generated energy statistical information of the Wind turbines in preset duration is obtained;
102, Wind turbines availability is calculated according to the generated energy statistical information in the preset duration;
In the present embodiment, generated energy statistical information of the Wind turbines in preset duration can be obtained, you can to pass through number The generated energy statistical information of Wind turbines is obtained according to acquisition or data inputting, which is included in preset duration Wind turbines availability is inside obtained by calculation.
Specifically, it can be acquired and supervisor control (SCADA, Supervisory Control And in data DataAcquisition generated energy statistical information of the Wind turbines in preset duration, generated energy statistics letter) are obtained in system Breath includes actual power generation, loss generated energy, which includes unit reason loss generated energy and/or non-unit reason Lose generated energy.
Therefore, when determining there are when non-unit reason loss generated energy, formula can be passed through:
Wind turbines availability=(1- units lose generated energy/(actual power generation+unit reason loss generated energy+non- Unit reason loses generated energy)) × 100%
Wind turbines availability is calculated;
When determining there is no when non-unit reason loss generated energy, formula can be passed through:
Wind turbines availability=(1- units loss generated energy/(actual power generation+unit reason loses generated energy) × 100%
Wind turbines availability is calculated.
Wherein, when obtaining generated energy statistical information in SCADA system, unit loss is calculated separately using following formula Generated energy and non-unit reason lose generated energy:
Unit loses generated energy=∑, and (certain unit self reason is shut down or the SCADSA of active downrating period records Nacelle wind speed instrument wind frequency division cloth and the unit assessment period in the product of power curve that calculates of SCADA data)-∑ (unit The SCADA of active downrating period records generated energy)
(the non-self reason of certain unit shuts down the nacelle wind speed of period SCADA record to non-unit reason loss generated energy=∑ The product for the power curve that SCADA data calculates in instrument wind frequency division cloth and the unit assessment period)-∑ is (when machine unit scheduling limit is sent out The SCADA of section records generated energy).
In the present embodiment, generated energy statistical information of the Wind turbines in preset duration is obtained;According to the preset duration Interior generated energy statistical information calculates Wind turbines availability.Therefore, because the characteristic that wind energy is unstable, the same wind turbine exists Collected wind energy in different time sections can not possibly be completely the same, compared with the prior art in the wind that is calculated based on the time Motor group availability by generated energy statistical information calculates Wind turbines availability in the present invention, examining based on energy Core, more accurately reflects out the generating capacity situation of Wind turbines, and can be further used for assessment and design power generation situation Deviation.
The method part in the embodiment of the present invention is described above, below to a kind of wind-powered electricity generation in the embodiment of the present invention The computing system of unit availability is described, and please refers to Fig. 2.
A kind of computing system of Wind turbines availability includes in the embodiment of the present invention:
Acquiring unit 201, for obtaining generated energy statistical information of the Wind turbines in preset duration;
Computing unit 202, it is available for calculating Wind turbines according to the generated energy statistical information in the preset duration Rate.
In some possible embodiments, which is specifically used for:
Generated energy statistical information of the Wind turbines in preset duration is obtained in SCADA system.
In some possible embodiments, the generated energy statistical information includes actual power generation, loss generated energy.
In some possible embodiments, the loss generated energy includes unit reason loss generated energy and/or non-unit Reason loses generated energy.
In the present embodiment, acquiring unit 201 is for obtaining generated energy statistical information of the Wind turbines in preset duration;Meter Unit 202 is calculated to be used to calculate Wind turbines availability according to the generated energy statistical information in the preset duration.Therefore, because The unstable characteristic of wind energy, collected wind energy of the same wind turbine in different time sections can not possibly be completely the same, compared to In the prior art based on the Wind turbines availability that the time is calculated, calculated by generated energy statistical information in of the invention Wind turbines availability, the examination based on energy more accurately reflect out the generating capacity situation of Wind turbines, and can be into One step is used to assess and design the deviation of power generation situation.
Above from the angle of modular functionality entity to a kind of meter of Wind turbines availability in the embodiment of the present invention Calculation system is described, and the computer installation in the embodiment of the present invention is described from the angle of hardware handles below:It should Computer installation includes processor, memory, input-output equipment and bus;The processor, memory, input and output are set Back-up is not connected with the bus;The processor is for the step of executing the above method.
Referring to Fig. 3, a specific embodiment of the processing unit of subdocument includes in the embodiment of the present application:
The device 300 can generate bigger difference because configuration or performance are different, may include one or more Central processing unit (central processing units, CPU) 301 (for example, one or more processors) and storage Device 305 is stored with one or more application program or data in the memory 305.
Wherein, memory 305 can be volatile storage or persistent storage.Being stored in the program of memory 305 can wrap One or more modules are included, each module may include to the series of instructions operation in server.Further, in Central processor 301 could be provided as communicating with memory 305, and a series of fingers in memory 305 are executed on intelligent terminal 300 Enable operation.
The device 300 can also include one or more power supplys 302, one or more wired or wireless networks Interface 303, one or more input/output interfaces 304, and/or, one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM etc..
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
It is understood that in various embodiments of the present invention, the size of the serial number of above steps is not meant to The execution sequence of the priority of execution sequence, each step should be determined by its function and internal logic, without coping with the embodiment of the present invention Implementation process constitute any restriction.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be the indirect coupling by some interfaces, device or unit It closes or communicates to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme 's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can be stored in a computer read/write memory medium.Based on this understanding, technical scheme of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention Portion or part steps.And storage medium above-mentioned includes:USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before Stating embodiment, invention is explained in detail, it will be understood by those of ordinary skill in the art that:It still can be to preceding The technical solution recorded in each embodiment is stated to modify or equivalent replacement of some of the technical features;And these Modification or replacement, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. a kind of computational methods of Wind turbines availability, which is characterized in that including:
Obtain generated energy statistical information of the Wind turbines in preset duration;
Wind turbines availability is calculated according to the generated energy statistical information in the preset duration.
2. according to the method described in claim 1, it is characterized in that, the generated energy for obtaining Wind turbines in preset duration Statistical information includes:
Generated energy statistical information of the Wind turbines in preset duration is obtained in SCADA system.
3. method according to claim 1 or 2, which is characterized in that the generated energy statistical information include actual power generation, Lose generated energy.
4. according to the method described in claim 3, it is characterized in that, the loss generated energy includes unit reason loss generated energy And/or non-unit reason loses generated energy.
5. a kind of computing system of Wind turbines availability, which is characterized in that including:
Acquiring unit, for obtaining generated energy statistical information of the Wind turbines in preset duration;
Computing unit, for calculating Wind turbines availability according to the generated energy statistical information in the preset duration.
6. system according to claim 5, which is characterized in that the acquiring unit is specifically used for:
Generated energy statistical information of the Wind turbines in preset duration is obtained in SCADA system.
7. system according to claim 5 or 6, which is characterized in that the generated energy statistical information include actual power generation, Lose generated energy.
8. system according to claim 7, which is characterized in that the loss generated energy includes unit reason loss generated energy And/or non-unit reason loses generated energy.
9. a kind of computer installation, which is characterized in that including:
Processor, memory, input-output equipment and bus;
The processor, memory, input-output equipment are connected with the bus respectively;
The processor is for executing such as Claims 1-4 any one of them method.
10. a kind of computer program product including instruction, which is characterized in that when run on a computer so that described Computer executes such as Claims 1-4 any one of them method.
CN201810524563.9A 2018-05-28 2018-05-28 A kind of computational methods and system of Wind turbines availability Pending CN108695845A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110826899A (en) * 2019-10-31 2020-02-21 三一重能有限公司 Performance evaluation method, device, equipment and storage medium of wind generating set
CN112085408A (en) * 2020-09-18 2020-12-15 中国船舶重工集团海装风电股份有限公司 Method and device for realizing time availability of wind generating set

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102097828A (en) * 2010-12-30 2011-06-15 中国电力科学研究院 Wind power optimal scheduling method based on power forecast
US20120133132A1 (en) * 2011-08-10 2012-05-31 Mitsubishi Heavy Industries, Ltd. Wind-power-station control apparatus and wind-power-station control method
CN102738833A (en) * 2012-06-20 2012-10-17 湖北省电力公司 Multi-time-scale rolling coordination scheduling method for electric power system with wind power
CN103036251A (en) * 2012-12-06 2013-04-10 东北电力大学 Source network coordinated scheduling method for improving wind electricity admitting ability of power grid
CN107330183A (en) * 2017-06-29 2017-11-07 华北电力大学 A kind of wind power utilization computational methods based on service data

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102097828A (en) * 2010-12-30 2011-06-15 中国电力科学研究院 Wind power optimal scheduling method based on power forecast
US20120133132A1 (en) * 2011-08-10 2012-05-31 Mitsubishi Heavy Industries, Ltd. Wind-power-station control apparatus and wind-power-station control method
CN102738833A (en) * 2012-06-20 2012-10-17 湖北省电力公司 Multi-time-scale rolling coordination scheduling method for electric power system with wind power
CN103036251A (en) * 2012-12-06 2013-04-10 东北电力大学 Source network coordinated scheduling method for improving wind electricity admitting ability of power grid
CN107330183A (en) * 2017-06-29 2017-11-07 华北电力大学 A kind of wind power utilization computational methods based on service data

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110826899A (en) * 2019-10-31 2020-02-21 三一重能有限公司 Performance evaluation method, device, equipment and storage medium of wind generating set
CN110826899B (en) * 2019-10-31 2023-01-31 三一重能股份有限公司 Performance evaluation method, device, equipment and storage medium of wind generating set
CN112085408A (en) * 2020-09-18 2020-12-15 中国船舶重工集团海装风电股份有限公司 Method and device for realizing time availability of wind generating set

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Application publication date: 20181023