CN108923473B - Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology - Google Patents
Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology Download PDFInfo
- Publication number
- CN108923473B CN108923473B CN201811072560.2A CN201811072560A CN108923473B CN 108923473 B CN108923473 B CN 108923473B CN 201811072560 A CN201811072560 A CN 201811072560A CN 108923473 B CN108923473 B CN 108923473B
- Authority
- CN
- China
- Prior art keywords
- wind turbine
- wind
- power
- generator
- adjustable
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000005516 engineering process Methods 0.000 title claims abstract description 29
- 238000006243 chemical reaction Methods 0.000 claims description 96
- 230000009467 reduction Effects 0.000 claims description 21
- 238000010977 unit operation Methods 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 2
- 230000001174 ascending effect Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 5
- 238000010248 power generation Methods 0.000 description 5
- 230000000630 rising effect Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000009347 mechanical transmission Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H02J3/386—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Wind Motors (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
The invention discloses a flexible tower wind power plant energy scheduling method and system based on an intelligent traversing technology, which judge the running state of each wind turbine according to the real-time rotating speed and torque value of each wind turbine, and divide the wind turbines in the flexible tower wind power plant into a non-adjustable active power turbine and an adjustable active power turbine according to the judgment result; and carrying out accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant by an energy dispatching control method. According to the invention, each wind turbine is divided into the non-adjustable and adjustable active power units, and then different active power set values of each wind turbine are distributed aiming at the adjustable units through an energy scheduling method, so that the frequency of frequently passing through a resonance region by the units is reduced, the fatigue operation of the units is reduced, the active power regulation completion time and regulation precision of the wind power plant are improved, and the safety factor of passing through the resonance region is improved; and when the wind power plant does not carry out energy scheduling, the running time of the unit in the resonance region is monitored, and the running safety of the unit is improved.
Description
Technical Field
The invention relates to the technical field of intelligent control of wind power plants, in particular to a flexible tower wind power plant energy scheduling method and system based on an intelligent traversing technology.
Background
When the frequency corresponding to the rotating speed of the mechanical transmission chain is close to the natural frequency of structural components of the wind turbine generator set in the operation process of the wind turbine generator set, the resonance phenomenon is easily generated, the frequency range generating the resonance is a resonance frequency conversion area, and the area is generally wider. As the height of the tower barrel is increased, the natural frequency of the tower barrel is reduced, and the natural frequency of the tower barrel is coincided with the frequency of the rotating speed of the impeller under the condition; on the other hand, the length of the blade is longer to achieve good wind energy utilization efficiency, but the range of the rotating speed of the impeller has to be reduced to ensure the safety of the whole machine, and in this case, the triple rotating frequency of the impeller is overlapped with the natural frequency of the tower. When the resonance energy accumulated in the region where the unit frequency conversion is close to the natural frequency of the tower drum is enough, strong vibration can be generated, and when the resonance energy is serious, the serious consequences that most components are damaged and even the tower drum falls can occur.
At present, with the acceleration of the development of low wind speed areas and distributed wind power, the design idea of applying a wind turbine with a high tower and large blades becomes a mainstream research and development trend. And with the publication of the policy of bidding for wind power to surf the internet, wind power developers expect higher and higher reduction of power consumption cost. To meet market demand, wind power manufacturers must design units that are reduced in weight, thereby reducing the early capital investment for the units and the tower. The method for reducing the weight of the high tower drum is the most effective and direct cost reduction mode, so more and more flexible tower drums appear, and the wind turbine generator control technology for preventing the flexible tower drums from resonating with the generator is called as a flexible tower technology.
The wind generating set is applied to a control system more and more by avoiding a resonance frequency region, but the application of reducing the frequency of crossing the resonance frequency conversion region as an input parameter of the control system in the wind power plant energy dispatching system is not available. Meanwhile, the research on the cooperative work of the wind power plant energy scheduling system and the control system of the wind turbine generator belongs to the preliminary exploration stage. Along with the development of intellectuality, integration, the later stage will produce more and more such multisystem sharing data, the integrated platform of mutually supporting, and the unit safe operation can be ensured from the multidimension degree to this kind of intelligent platform of integration.
The invention relates to an energy scheduling method and system for a wind power plant by applying a flexible tower technology, which can improve the adjustment completion time and adjustment precision of the rising and falling active power of the wind power plant and reduce the frequency of each wind turbine generator crossing a resonance frequency conversion region when the energy of the wind power plant is scheduled.
Disclosure of Invention
The invention aims to solve the technical problem of providing a flexible tower wind power plant energy scheduling method based on an intelligent traversing technology, which can improve the rising and falling active power regulation completion time and regulation precision of a wind power plant and reduce the frequency of each wind power unit traversing a resonance frequency conversion region when the wind power plant energy is scheduled.
In order to solve the technical problem, the invention provides a flexible tower wind power plant energy scheduling method based on an intelligent ride through technology, which comprises the following steps:
judging the running state of each wind turbine according to the real-time rotating speed and torque value of each wind turbine, and dividing the wind turbines in the flexible tower wind power plant into a non-adjustable active power turbine and an adjustable active power turbine according to the judgment result;
and secondly, performing accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant through an energy dispatching control method.
As an improvement of the present invention, the specific method for judging the operating state of each wind turbine in the step one is as follows:
comparing the generator rotating speed of each wind turbine generator with the lower limit rotating speed Nmin and the upper limit rotating speed Nmax of the resonance frequency conversion region, and comparing the generator torque of each wind turbine generator with the lower limit torque Tmin and the upper limit torque Tmax of the resonance frequency conversion region:
if the rotating speed of the generator is less than the lower limit rotating speed Nmin and the torque of the generator is less than the lower limit torque Tmin, judging that the wind turbine generator does not pass through a resonance frequency conversion region and is in an operation state below the resonance frequency conversion region, wherein the wind turbine generator belongs to an adjustable active power generator;
if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is greater than the upper limit torque Tmax, judging that the wind turbine generator completes the crossing of the resonance frequency conversion region and is in an operation state above the resonance frequency conversion region, wherein the wind turbine generator belongs to an adjustable active power generator;
and if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is less than the upper limit torque Tmax, judging that the wind turbine generator is in a running state of a resonance frequency conversion region, wherein the wind turbine generator belongs to an unadjustable active power generator.
Further improved, the specific method for judging the operating state of each wind turbine further comprises: when the wind turbine generator is judged to be in the running state of the resonance frequency conversion area, whether the time of the wind turbine generator in the resonance frequency conversion area exceeds the preset time length or not is continuously judged, if yes, an alarm prompt is sent, and a shutdown instruction is sent to realize shutdown processing of the wind turbine generator.
The method is further improved, and aims at the adjustable active power unit, wherein the power-up priority of the wind power unit in the running state below the resonance frequency conversion area is later than the power-up priority of the wind power unit in the running state above the resonance frequency conversion area.
Further, in the second step, the energy scheduling control method includes the following steps:
taking the difference value of the wind power plant grid regulation given active power target value Pset and the wind power plant real-time active power value Preal as a judgment standard:
if the Pset-Preal is judged to be not more than 100, continuously judging whether the Pset-Preal is not more than-100:
if Pset-Preal is not more than or equal to-100, indicating that the active power of the wind power plant is in a control dead zone, and not needing to regulate and control the energy of each wind turbine of the wind power plant;
if the Pset-Preal is less than or equal to-100, indicating that the wind power plant needs power reduction regulation, then continuously judging whether the Pset-Preal value is less than the power reduction adjustable allowance which does not pass through the resonance frequency conversion area, and if the Pset-Preal value is less than the power reduction adjustable allowance, differentially fine-adjusting the active power set value of each wind power generator set; if the actual active power of each wind turbine generator in the wind turbine generator group is larger than the threshold value, establishing a wind turbine generator group with the same droop power passing through a resonance frequency conversion region, increasing the adjustable droop power allowance in the wind turbine generator group to an adjustable lower limit value, and respectively allocating an active power set value to each wind turbine generator according to a weight formed by the difference between the actual active power of each wind turbine generator in the wind turbine generator group and the adjustable droop power allowance lower limit value;
if the Pset-Preal is judged to be more than or equal to 100, the fact that the wind power plant needs power increasing regulation is indicated, then whether the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area is continuously judged, and if the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area, the active power set value of each wind turbine generator is finely adjusted; if the active power is larger than the threshold value, establishing a wind turbine group with the same boost power passing through the resonance frequency conversion region, increasing the adjustable boost power allowance in the wind turbine group to an adjustable upper limit value, and distributing active power set values to the wind turbines respectively according to the weight formed by the difference between the actual active power of each wind turbine in the wind turbine group and the adjustable boost power allowance upper limit value.
The invention also provides a flexible tower wind power plant energy scheduling system based on the intelligent traversing technology, which comprises a unit running state judgment module and an energy scheduling control module,
the unit operation state judgment module is used for judging the operation state of each wind turbine according to the real-time rotating speed and torque value of each wind turbine, and then dividing the wind turbines in the flexible tower wind power plant into a non-adjustable active power unit and an adjustable active power unit according to the judgment result;
the energy scheduling control module is used for performing accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant through an energy scheduling control method.
In a further improvement, the unit operation state judgment module is used for specifically executing the following steps:
comparing the generator rotating speed of each wind turbine generator with the lower limit rotating speed Nmin and the upper limit rotating speed Nmax of a resonance frequency conversion region, and comparing the generator torque of each wind turbine generator with the lower limit torque Tmin and the upper limit torque Tmax of the resonance frequency conversion region, if the generator rotating speed is less than the lower limit rotating speed Nmin and the generator torque is less than the lower limit torque Tmin, judging that the wind turbine generator is in a running state below the resonance frequency conversion region, and classifying the wind turbine generator as an adjustable active power turbine generator;
if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is greater than the upper limit torque Tmax, judging that the wind turbine generator is in an operating state above a resonance frequency conversion area, and classifying the wind turbine generator as an adjustable active power generator;
and if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is less than the upper limit torque Tmax, judging that the wind turbine generator is in a running state of a resonance frequency conversion region, and classifying the wind turbine generator as an unadjustable active power generator.
In a further improvement, the unit operation state judgment module is further configured to execute the following steps:
and when the wind turbine generator is judged to be in the running state of the resonance frequency conversion area, monitoring the running time of the wind turbine generator in the resonance frequency conversion area, and if the running time exceeds the preset duration, sending an alarm prompt to the wind turbine generator.
In a further improvement, the unit operation state judgment module is further configured to execute a power-up priority ordering step, and place the power-up priority of the wind turbine unit in the operation state below the resonance frequency conversion region behind the power-up priority of the wind turbine unit in the operation state above the resonance frequency conversion region.
In a further improvement, the energy scheduling control module is configured to specifically execute the following steps:
taking the difference value of the wind power plant grid regulation given active power target value Pset and the wind power plant real-time active power value Preal as a judgment standard:
if the Pset-Preal is judged to be not more than 100, continuously judging whether the Pset-Preal is not more than-100:
if Pset-Preal is not more than or equal to-100, indicating that the active power of the wind power plant is in a control dead zone, and not needing to regulate and control the energy of each wind turbine of the wind power plant;
if the Pset-Preal is less than or equal to-100, indicating that the wind power plant needs power reduction regulation, then continuously judging whether the Pset-Preal value is less than the power reduction adjustable allowance which does not pass through the resonance frequency conversion area, and if the Pset-Preal value is less than the power reduction adjustable allowance, differentially fine-adjusting the active power set value of each wind power generator set; if the actual active power of each wind turbine generator in the wind turbine generator group is larger than the threshold value, establishing a wind turbine generator group with the same droop power passing through a resonance frequency conversion region, increasing the adjustable droop power allowance in the wind turbine generator group to an adjustable lower limit value, and respectively allocating an active power set value to each wind turbine generator according to a weight formed by the difference between the actual active power of each wind turbine generator in the wind turbine generator group and the adjustable droop power allowance lower limit value;
if the Pset-Preal is judged to be more than or equal to 100, the fact that the wind power plant needs power increasing regulation is indicated, then whether the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area is continuously judged, and if the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area, the active power set value of each wind turbine generator is finely adjusted; if the active power is larger than the threshold value, establishing a wind turbine group with the same boost power passing through the resonance frequency conversion region, increasing the adjustable boost power allowance in the wind turbine group to an adjustable upper limit value, and distributing active power set values to the wind turbines respectively according to the weight formed by the difference between the actual active power of each wind turbine in the wind turbine group and the adjustable boost power allowance upper limit value.
After adopting such design, the invention has at least the following advantages:
the invention relates to a flexible tower wind power plant energy scheduling control method based on a flexible tower technology, which comprises the steps of judging the running state of each wind turbine according to the real-time rotating speed and torque numerical value of each wind turbine, dividing each wind turbine into a non-adjustable active power unit and an adjustable active power unit according to the judgment result, and regulating and controlling the rising and falling active power of a wind power plant by an energy scheduling control method aiming at the adjustable active power unit.
When the energy of the wind power plant is scheduled, the method can improve the regulation completion time and regulation precision of the active power of the wind power plant during ascending and descending, and also improve the safety factor of passing through a resonance frequency conversion area; when the wind power plant does not carry out energy scheduling, the running time of the wind turbine generator in a resonance frequency conversion area is monitored, and if the running time is too long, an early warning prompt is sent out to serve as an intelligent protection line of the wind turbine generator, so that the safety of the wind turbine generator is improved.
Drawings
The foregoing is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description.
FIG. 1 is a diagram of the relationship between the rotating speed and the torque of a wind generating set applying the flexible tower technology.
FIG. 2 is a logic diagram for judging the state of the wind turbine generator crossing the resonance frequency conversion region.
FIG. 3 is a control logic diagram of the wind farm energy scheduling method of the present invention.
Detailed Description
The invention discloses a flexible tower wind power plant energy scheduling method and system based on a flexible tower technology, which are briefly introduced as follows for the flexible tower technology.
Referring to the attached drawing 1, the horizontal axis is the rotating speed of the generator, the vertical axis is the torque of the generator, the wind turbine control system controls the rotating speed to skip the natural frequency of the tower barrel through the torque, and the rotating speed area of the wind turbine corresponding to the natural frequency is Nmin--NmaxAnd as long as the wind turbine generator does not stay for too long time in the resonance frequency conversion area and does not accumulate excessive vibration energy, the wind turbine generator does not generate resonance phenomenon, and the safe operation of the wind turbine generator can be ensured.
When the rotating speed of the generator of the wind turbine reaches N0When the wind turbine generator is in a grid-connected state, corresponding torque can be increased along with the continuous increase of the rotating speed of a generator of the wind turbine generator, and the active power of the wind turbine generator is increased all the time; when the rotating speed reaches NminIn the process, the unit can not increase the rotating speed any more, and the rotating speed can be controlled in a torque increasing mode, namely mechanical kinetic energy is accumulated near the rotating speed point; when the rotating speed is NminWhen the torque of the wind turbine is increased to be close to T1, the mechanical kinetic energy accumulated by the wind turbine can ensure that the wind turbine rapidly passes through Nmin--NmaxIn the region, the wind turbine generator control system can rapidly reduce the torque to T2, so that the rotating speed is rapidly increased to NmaxPosition, then continuously increasing the torque to TmaxTherefore, the wind turbine generator smoothly passes through the resonance frequency conversion area, and belongs to an intelligent traversing technology, namely a flexible tower technology.
The flexible tower wind power plant is that the wind power plant comprises a plurality of or all wind power generation sets applying the flexible tower technology, and for the energy scheduling method of the flexible tower wind power plant, the frequency of the set crossing a resonance frequency conversion area in the energy scheduling process of the wind power plant must be considered as far as possible, so that the risk of the set repeatedly crossing the resonance frequency conversion area is reduced. The invention discloses a flexible tower wind power plant energy scheduling system based on a flexible tower technology and a specific energy scheduling method thereof.
The invention discloses a flexible tower wind power plant energy scheduling system based on an intelligent traversing technology.
The unit operation state judgment module is used for judging the operation state of each wind turbine according to the real-time rotating speed and the torque value of each wind turbine, and then dividing the wind turbines in the flexible tower wind power plant into an unadjustable active power unit and an adjustable active power unit according to the judgment result.
The specific method for judging the running state of each wind turbine generator is as follows:
referring to fig. 2, acquiring real-time operation data such as the generator rotation speed and the torque of each wind turbine generator in real time, comparing the generator rotation speed with the lower limit rotation speed Nmin and the upper limit rotation speed Nmax of the resonant frequency conversion region, and comparing the generator torque with the lower limit torque Tmin and the upper limit torque Tmax of the resonant frequency conversion region;
and if the rotating speed of the generator is less than the lower limit rotating speed Nmin and the torque of the generator is less than the lower limit torque value Tmin of the resonance frequency conversion area, judging that the wind turbine generator does not pass through the resonance frequency conversion area and is in an operation state below the resonance frequency conversion area. And calculating the active power reduction adjustable allowance of the wind turbine generator, namely the real-time active power of the generator-the adjustable active power lower limit value of the generator, and raising the power priority of the wind turbine generator to the rear.
And if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is greater than the upper limit torque value Tmax of the resonance frequency conversion region, judging that the wind turbine generator completes the crossing of the resonance frequency conversion region and is in a running state above the resonance frequency conversion region. At the moment, the adjustable upper limit allowance of the active power of the wind turbine generator, the adjustable lower limit allowance of the wind turbine generator away from the resonance frequency conversion region and the adjustable lower limit allowance of the wind turbine generator away from the minimum resonance frequency conversion region can be calculated, and the priority of the wind turbine generator for continuously increasing the power is increased to the front;
and if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is less than the upper limit torque value Tmax of the resonance frequency conversion region, judging that the wind turbine generator is in the operation state in the resonance frequency conversion region. The active power of the wind turbine is not adjustable at this time. Meanwhile, the wind power plant energy scheduling system needs to judge whether the time T of the wind turbine generator in the resonance frequency conversion area is too long, if the time is too long and exceeds the preset time, an alarm is sent out to prompt that the wind turbine generator is too long in the resonance frequency conversion area, and a shutdown instruction is sent. Therefore, the wind power plant energy dispatching system plays a role in protecting the safety of the wind turbine generator.
In conclusion, by judging that each wind turbine in the wind power plant passes through the resonance frequency conversion region, the wind power plant energy scheduling system can more clearly and accurately master the running state of each wind turbine in the plant, and is beneficial to realizing the subsequent steps, namely active power adjustment is carried out on the adjustable active power turbine in the wind power plant, the active power set value of the wind turbine is more intelligently distributed, and the response time and the control precision of overall adjustment are favorably improved.
The energy scheduling control module is used for carrying out accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant through an energy scheduling control method. The specific regulation and control method comprises the following steps:
referring to the attached drawing 3, taking the difference value delta between the wind farm grid regulation given active power target value Pset and the wind farm real-time active power value Preal as a judgment standard:
if the Pset-Preal is judged to be not more than 100, continuously judging whether the Pset-Preal is not more than-100:
if Pset-Preal is not more than or equal to-100, indicating that the active power of the wind power plant is in the control dead zone at the moment, and not needing to regulate and control the energy of the wind power generator set;
if Pset-Preal is less than or equal to-100, indicating that the wind power plant needs to be subjected to power reduction regulation at the moment, then continuously judging whether delta is smaller than the power reduction adjustable allowance which does not pass through the resonance frequency conversion region, and if the delta is smaller than the power reduction adjustable allowance, indicating that the wind power plant only needs to differentially regulate the active power set value of each wind power generation set at the moment, so that the wind power generation set can meet the target value instruction issued by the power grid without passing through the resonance frequency conversion region; if the active power is larger than the preset value, a wind turbine group participating in the same power reduction and crossing the resonance frequency conversion region needs to be selected and established, then the adjustable power reduction allowance in the wind turbine group is increased to an adjustable lower limit value, and then an active power set value is distributed to each wind turbine group according to a weight formed by the difference between the actual active power of each wind turbine group in the wind turbine group and the adjustable power reduction allowance lower limit value, so that each wind turbine group can cross the resonance frequency conversion region as soon as possible, the fatigue operation of the wind turbine groups is reduced, and the active power regulation completion time and the regulation precision of the wind power plant are improved.
If the Pset-Preal is judged to be more than or equal to 100, the wind power plant needs to perform ascending active power regulation and control at the moment, then whether delta is smaller than the ascending power adjustable allowance not crossing the resonance frequency conversion region is continuously judged, if delta is smaller than delta, the wind power plant only needs to differentially regulate the active power set value of each wind power generation set at the moment, and the wind power generation set can meet the target value instruction issued by the power grid without crossing the resonance frequency conversion region; if the difference is larger than the threshold value, a wind turbine group participating in the same boost power crossing the resonance frequency conversion region needs to be selected and established, then the adjustable boost power allowance in the wind turbine group is increased to an adjustable upper limit value, and then an active power set value is distributed to each wind turbine group according to a weight formed by the difference between the actual active power of each wind turbine group in the wind turbine group and the adjustable boost power allowance upper limit value, so that each wind turbine group can cross the resonance frequency conversion region as soon as possible, the fatigue operation of the wind turbine groups is reduced, and the adjusting completion time and the adjusting precision of the active power rising of the wind power plant are improved.
In summary, the flexible tower wind power plant energy scheduling method based on the intelligent traversing technology comprises the steps of judging the operation state of each wind power plant according to the real-time rotating speed and torque value of each wind power plant, dividing the wind power plants in the flexible tower wind power plant into an unadjustable active power plant and an adjustable active power plant according to the judgment result, and performing accurate energy regulation and control on the adjustable active power plant in the flexible tower wind power plant through an energy scheduling control method, so that when the adjustable active power plant is subjected to active power ascending and descending regulation and control, the frequency of the plants passing through a resonance region frequently can be reduced, the fatigue operation of the plants is reduced, the safety coefficient of the passing through the resonance region is improved, and the active power ascending and descending regulation completion time and regulation precision of the wind power plant are; and for the unadjustable active power unit, monitoring the operation time of the unit in a resonance frequency conversion area, and if the operation time is too long, sending an early warning prompt to play a role in ensuring the safe operation of the wind turbine unit.
According to the flexible tower wind power plant energy dispatching system based on the intelligent traversing technology, the single machine control system of the wind turbine generator and the wind power plant level control system work cooperatively, and potential safety hazards caused by incomplete strategy when the single machine control system traverses a resonance region are overcome.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the present invention in any way, and it will be apparent to those skilled in the art that the above description of the present invention can be applied to various modifications, equivalent variations or modifications without departing from the spirit and scope of the present invention.
Claims (8)
1. A flexible tower wind power plant energy scheduling method based on an intelligent traversing technology is characterized by comprising the following steps:
judging the running state of each wind turbine according to the real-time rotating speed and torque value of each wind turbine, and dividing the wind turbines in the flexible tower wind power plant into a non-adjustable active power turbine and an adjustable active power turbine according to the judgment result;
secondly, performing accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant through an energy dispatching control method,
the energy scheduling control method comprises the following steps:
taking the difference value of the wind power plant grid regulation given active power target value Pset and the wind power plant real-time active power value Preal as a judgment standard:
if the Pset-Preal is judged to be not more than 100, continuously judging whether the Pset-Preal is not more than-100:
if Pset-Preal is not more than or equal to-100, indicating that the active power of the wind power plant is in a control dead zone, and not needing to regulate and control the energy of each wind turbine of the wind power plant;
if the Pset-Preal is less than or equal to-100, indicating that the wind power plant needs power reduction regulation, then continuously judging whether the Pset-Preal value is less than the power reduction adjustable allowance which does not pass through the resonance frequency conversion area, and if the Pset-Preal value is less than the power reduction adjustable allowance, differentially fine-adjusting the active power set value of each wind power generator set; if the actual active power of each wind turbine generator in the wind turbine generator group is larger than the threshold value, establishing a wind turbine generator group with the same droop power passing through a resonance frequency conversion region, increasing the adjustable droop power allowance in the wind turbine generator group to an adjustable lower limit value, and respectively allocating an active power set value to each wind turbine generator according to a weight formed by the difference between the actual active power of each wind turbine generator in the wind turbine generator group and the adjustable droop power allowance lower limit value;
if the Pset-Preal is judged to be more than or equal to 100, the fact that the wind power plant needs power increasing regulation is indicated, then whether the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area is continuously judged, and if the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area, the active power set value of each wind turbine generator is finely adjusted; if the active power is larger than the threshold value, establishing a wind turbine group with the same boost power passing through the resonance frequency conversion region, increasing the adjustable boost power allowance in the wind turbine group to an adjustable upper limit value, and distributing active power set values to the wind turbines respectively according to the weight formed by the difference between the actual active power of each wind turbine in the wind turbine group and the adjustable boost power allowance upper limit value.
2. The flexible tower wind power plant energy scheduling method based on the intelligent ride through technology as claimed in claim 1, wherein the specific method for judging the operating state of each wind turbine in the first step is as follows:
comparing the generator rotating speed of each wind turbine generator with the lower limit rotating speed Nmin and the upper limit rotating speed Nmax of the resonance frequency conversion region, and comparing the generator torque of each wind turbine generator with the lower limit torque Tmin and the upper limit torque Tmax of the resonance frequency conversion region:
if the rotating speed of the generator is less than the lower limit rotating speed Nmin and the torque of the generator is less than the lower limit torque Tmin, judging that the wind turbine generator does not pass through a resonance frequency conversion region and is in an operation state below the resonance frequency conversion region, wherein the wind turbine generator belongs to an adjustable active power generator;
if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is greater than the upper limit torque Tmax, judging that the wind turbine generator completes the crossing of the resonance frequency conversion region and is in an operation state above the resonance frequency conversion region, wherein the wind turbine generator belongs to an adjustable active power generator;
and if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is less than the upper limit torque Tmax, judging that the wind turbine generator is in a running state of a resonance frequency conversion region, wherein the wind turbine generator belongs to an unadjustable active power generator.
3. The flexible tower wind power plant energy scheduling method based on the intelligent ride through technology as claimed in claim 2, wherein the specific method for judging the operating state of each wind turbine further comprises: when the wind turbine generator is judged to be in the running state of the resonance frequency conversion area, whether the time of the wind turbine generator in the resonance frequency conversion area exceeds the preset time length or not is continuously judged, if yes, an alarm prompt is sent, and a shutdown instruction is sent to realize shutdown processing of the wind turbine generator.
4. The flexible tower wind power plant energy scheduling method based on the intelligent ride-through technology as claimed in claim 2, wherein for the adjustable active power unit, the power-up priority of the wind power unit in the operating state below the resonance frequency conversion region is later than the power-up priority of the wind power unit in the operating state above the resonance frequency conversion region.
5. A flexible tower wind power plant energy scheduling system based on an intelligent traversing technology is characterized by comprising a unit running state judgment module and an energy scheduling control module,
the unit operation state judgment module is used for judging the operation state of each wind turbine according to the real-time rotating speed and torque value of each wind turbine, and then dividing the wind turbines in the flexible tower wind power plant into a non-adjustable active power unit and an adjustable active power unit according to the judgment result;
the energy scheduling control module is used for performing accurate energy regulation and control on the adjustable active power unit in the flexible tower wind power plant through an energy scheduling control method, and specifically executes the following steps:
taking the difference value of the wind power plant grid regulation given active power target value Pset and the wind power plant real-time active power value Preal as a judgment standard:
if the Pset-Preal is judged to be not more than 100, continuously judging whether the Pset-Preal is not more than-100:
if Pset-Preal is not more than or equal to-100, indicating that the active power of the wind power plant is in a control dead zone, and not needing to regulate and control the energy of each wind turbine of the wind power plant;
if the Pset-Preal is less than or equal to-100, indicating that the wind power plant needs power reduction regulation, then continuously judging whether the Pset-Preal value is less than the power reduction adjustable allowance which does not pass through the resonance frequency conversion area, and if the Pset-Preal value is less than the power reduction adjustable allowance, differentially fine-adjusting the active power set value of each wind power generator set; if the actual active power of each wind turbine generator in the wind turbine generator group is larger than the threshold value, establishing a wind turbine generator group with the same droop power passing through a resonance frequency conversion region, increasing the adjustable droop power allowance in the wind turbine generator group to an adjustable lower limit value, and respectively allocating an active power set value to each wind turbine generator according to a weight formed by the difference between the actual active power of each wind turbine generator in the wind turbine generator group and the adjustable droop power allowance lower limit value;
if the Pset-Preal is judged to be more than or equal to 100, the fact that the wind power plant needs power increasing regulation is indicated, then whether the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area is continuously judged, and if the Pset-Preal value is smaller than the adjustable allowance of the power increasing which does not pass through the resonance frequency conversion area, the active power set value of each wind turbine generator is finely adjusted; if the active power is larger than the threshold value, establishing a wind turbine group with the same boost power passing through the resonance frequency conversion region, increasing the adjustable boost power allowance in the wind turbine group to an adjustable upper limit value, and distributing active power set values to the wind turbines respectively according to the weight formed by the difference between the actual active power of each wind turbine in the wind turbine group and the adjustable boost power allowance upper limit value.
6. The flexible tower wind farm energy scheduling system based on the intelligent ride through technology of claim 5, wherein the unit operation state judgment module is configured to specifically execute the following steps:
comparing the generator rotating speed of each wind turbine generator with the lower limit rotating speed Nmin and the upper limit rotating speed Nmax of a resonance frequency conversion region, and comparing the generator torque of each wind turbine generator with the lower limit torque Tmin and the upper limit torque Tmax of the resonance frequency conversion region, if the generator rotating speed is less than the lower limit rotating speed Nmin and the generator torque is less than the lower limit torque Tmin, judging that the wind turbine generator is in a running state below the resonance frequency conversion region, and classifying the wind turbine generator as an adjustable active power turbine generator;
if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is greater than the upper limit torque Tmax, judging that the wind turbine generator is in an operating state above a resonance frequency conversion area, and classifying the wind turbine generator as an adjustable active power generator;
and if the rotating speed of the generator is greater than the lower limit rotating speed Nmin and the torque of the generator is less than the upper limit torque Tmax, judging that the wind turbine generator is in a running state of a resonance frequency conversion region, and classifying the wind turbine generator as an unadjustable active power generator.
7. The flexible tower wind farm energy scheduling system based on the intelligent ride through technology as claimed in claim 6, wherein the unit operation state judgment module is further configured to perform the following steps:
and when the wind turbine generator is judged to be in the running state of the resonance frequency conversion area, monitoring the running time of the wind turbine generator in the resonance frequency conversion area, and if the running time exceeds the preset duration, sending an alarm prompt to the wind turbine generator.
8. The flexible tower wind farm energy scheduling system based on the intelligent ride-through technology as claimed in claim 6, wherein the unit operating state judgment module is further configured to perform a power-up priority ranking step, and place the power-up priority of the wind turbine unit in the operating state below the resonance frequency conversion region behind the power-up priority of the wind turbine unit in the operating state above the resonance frequency conversion region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811072560.2A CN108923473B (en) | 2018-09-14 | 2018-09-14 | Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811072560.2A CN108923473B (en) | 2018-09-14 | 2018-09-14 | Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108923473A CN108923473A (en) | 2018-11-30 |
| CN108923473B true CN108923473B (en) | 2020-09-08 |
Family
ID=64408885
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811072560.2A Active CN108923473B (en) | 2018-09-14 | 2018-09-14 | Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108923473B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110943460B (en) * | 2019-11-26 | 2021-02-12 | 明阳智慧能源集团股份公司 | Method for fault ride-through of external power grid of field-level reactive voltage regulation control platform of wind power plant |
| CN113847196B (en) * | 2020-06-28 | 2023-06-06 | 北京金风科创风电设备有限公司 | Wind generating set and rotational speed avoiding control method and device thereof |
| EP4033090A1 (en) | 2021-01-22 | 2022-07-27 | Wobben Properties GmbH | Method for controlling a wind energy system |
| CN113258604B (en) * | 2021-05-24 | 2022-09-13 | 哈电风能有限公司 | Wind power plant control method and device, electronic equipment and readable storage medium |
| CN113642194B (en) * | 2021-09-01 | 2024-02-02 | 中船海装风电有限公司 | Wind generating set adjustable upper limit calculation method and active power scheduling method |
| CN116146417B (en) * | 2023-04-19 | 2023-08-11 | 中车山东风电有限公司 | Method, device and equipment for traversing passive dynamic interval of rotating speed of wind generating set |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103758698B (en) * | 2014-01-22 | 2016-08-17 | 北京金风科创风电设备有限公司 | Method for controlling number of revolution and system for Wind turbines |
| CN104405581B (en) * | 2014-10-24 | 2017-03-08 | 北京金风科创风电设备有限公司 | Wind generating set rotating speed control method and control system |
| CN105179184B (en) * | 2015-09-14 | 2017-11-17 | 明阳智慧能源集团股份公司 | A kind of automatic damping adjustment control method of wind power generating set flexible tower |
| CN105391096B (en) * | 2015-11-10 | 2017-12-29 | 四川东方电气自动控制工程有限公司 | A kind of blower fan active power management control method |
| JP6559559B2 (en) * | 2015-12-11 | 2019-08-14 | 株式会社日立製作所 | Wind power generation system and operation method of wind power generation system |
-
2018
- 2018-09-14 CN CN201811072560.2A patent/CN108923473B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108923473A (en) | 2018-11-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108923473B (en) | Flexible tower wind power plant energy scheduling method and system based on intelligent traversing technology | |
| CN104285059B (en) | Wind power plant's FREQUENCY CONTROL | |
| US10724501B2 (en) | Methods and systems of operating a set of wind turbines | |
| CN101688519B (en) | A method of operating a wind turbine with pitch control, a wind turbine and a cluster of wind turbines | |
| CN108242814B (en) | Primary frequency modulation method and device for variable-speed variable-frequency wind turbine generator | |
| CN110635521B (en) | Fair coordination control method and system based on electric quantity and reserve capacity | |
| CN112031996B (en) | Method and system for optimizing over-limit of cabin vibration during yaw motion of wind turbine generator | |
| EP2113659B1 (en) | Method of operation of a wind turbine which minimises the oscillations of the tower | |
| CN113809759A (en) | Method for enabling single-vibration-area hydroelectric generating set to rapidly pass through vibration area through AGC | |
| CN103590973B (en) | A kind of pitch control method be applied under wind power generating set strong wind operating mode | |
| CN112610410B (en) | Wind generating set tower clearance regulation and control method and module | |
| CN112196732B (en) | Fan master control pitch and torque instruction processing system | |
| CN111211582A (en) | Power grid comprehensive frequency modulation method based on double-fed fan frequency modulation capability in wind power plant | |
| CN113669201B (en) | Limit load control method for wind turbine generator under extreme conditions | |
| CN113193573B (en) | Fan rotating speed recovery control method, controller and wind power plant | |
| US11846270B2 (en) | Control method and device of a wind park | |
| CN109787252A (en) | Grid connected wind power unit frequency response control system and method based on fuzzy control | |
| CN113346520B (en) | Power grid frequency control method based on coordination of fan and synchronous machine | |
| CN114977221A (en) | Frequency modulation control method, device and equipment for wind turbine generator and storage medium | |
| CN113869691A (en) | Hydropower station day-ahead optimal scheduling method considering hydropower unit classification vibration area | |
| CN112968480B (en) | Wind-thermal power combined optimization scheduling method and system based on unit load response capability | |
| CN113328448B (en) | Optimization method and device for energy storage participation in kinetic energy frequency modulation of fan rotor | |
| CN112922778B (en) | Yaw optimization method, system, equipment and storage medium for wind turbine generator | |
| CN108879767A (en) | Wind power generating set high voltage crossing control method, apparatus and system | |
| CN111255629B (en) | Control method for reducing fatigue load of variable pitch system of wind generating set |
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 |