CN117419002A - Intelligent control method for domestic fan - Google Patents

Intelligent control method for domestic fan Download PDF

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Publication number
CN117419002A
CN117419002A CN202311735509.6A CN202311735509A CN117419002A CN 117419002 A CN117419002 A CN 117419002A CN 202311735509 A CN202311735509 A CN 202311735509A CN 117419002 A CN117419002 A CN 117419002A
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CN
China
Prior art keywords
fans
fan
load
calculating
wind
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.)
Withdrawn
Application number
CN202311735509.6A
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Chinese (zh)
Inventor
杨斌
朱彬
何春
余业祥
任华彬
彭小迪
陈�峰
黄泰宇
黄柳
蒙博宇
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Zhongkong Wind Energy Control Technology Beijing Co ltd
Dongfang Electric Wind Power Co Ltd
Original Assignee
Zhongkong Wind Energy Control Technology Beijing Co ltd
Dongfang Electric Wind Power Co Ltd
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Application filed by Zhongkong Wind Energy Control Technology Beijing Co ltd, Dongfang Electric Wind Power Co Ltd filed Critical Zhongkong Wind Energy Control Technology Beijing Co ltd
Priority to CN202311735509.6A priority Critical patent/CN117419002A/en
Publication of CN117419002A publication Critical patent/CN117419002A/en
Withdrawn legal-status Critical Current

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Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/04—Automatic control; Regulation
    • F03D7/042—Automatic control; Regulation by means of an electrical or electronic controller
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/022—Adjusting aerodynamic properties of the blades
    • F03D7/0224—Adjusting blade pitch
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D7/00—Controlling wind motors 
    • F03D7/02—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor
    • F03D7/028—Controlling wind motors  the wind motors having rotation axis substantially parallel to the air flow entering the rotor controlling wind motor output power
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/32—Wind speeds
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/328—Blade pitch angle
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
    • F05B2270/00—Control
    • F05B2270/30—Control parameters, e.g. input parameters
    • F05B2270/335—Output power or torque

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Sustainable Development (AREA)
  • Sustainable Energy (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Fluid Mechanics (AREA)
  • Control Of Positive-Displacement Air Blowers (AREA)

Abstract

The application relates to an intelligent control method of a domestic fan, which comprises the following steps: querying a plurality of fans existing in a wind farm; calculating the power generation load level of the ith fan; calculating a turbulent load level of the ith fan; calculating the total load level of the ith fan; calculating the load distribution level of the wind power plant; inquiring all working parameters in a plurality of fans; identifying at least one adjustable operating parameter from all operating parameters of the plurality of fans; calculating the value of at least one adjustable working parameter of a plurality of fans when the load distribution level of the wind power plant is minimum; control instructions to a domestic master control system in the plurality of fans are generated to adjust a value of at least one adjustable operating parameter of the plurality of fans. The invention is beneficial to avoiding overload of the fan so as to improve the service life of the fan and reduce the maintenance frequency.

Description

Intelligent control method for domestic fan
Technical Field
The invention relates to the field of wind power generation, in particular to an intelligent control method of a domestic fan.
Background
The domestic fan main control system has the advantages of flexible equipment installation, high environmental adaptability, various communication connections and the like, is an ideal system solution for severe-environment and distributed wind power application scenes, and can meet the field requirements of stable operation, quick response, fault diagnosis, easy maintenance, safe interconnection and the like of fans. The problem that exists is that wind-powered electricity generation application scenario that the environment is abominable causes the fan load excessive more easily, causes fan trouble and damage problem easily, consequently needs a new domestic fan master control system, can the automatic analysis fan load condition and adjust fan operating parameter, avoids the fan overload to improve the life of fan, reduce maintenance frequency.
Disclosure of Invention
In order to solve the technical problems, the application is provided to provide the domestic intelligent control method for the fan, which can automatically analyze the load condition of the fan and adjust the working parameters of the fan, so as to avoid overload of the fan.
In a first aspect, the present invention provides a method for controlling a domestic fan intelligently, including: querying a plurality of fans existing in a wind farm; for an ith fan in the plurality of fans, calculating a power generation load level of the ith fan according to the power generation condition of the ith fan, wherein the power generation load level is used for reflecting the power generation load condition of the ith fan due to power generation; according to the turbulence condition of the wind power plant, calculating the turbulence load level of the ith fan, wherein the turbulence load level is used for reflecting the load condition of the ith fan generated by the turbulence of the wind power plant; calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan; calculating the load distribution level of the wind farm according to the total load level of the fans, wherein the load distribution level is used for reflecting whether the load distribution of the fans is balanced or not; inquiring all working parameters of the fans; identifying at least one adjustable operating parameter from all operating parameters of the plurality of fans; calculating the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum; generating a control instruction for a domestic main control system in the fans according to the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum, and sending the control instruction for the domestic main control system in the fans to the fans so as to adjust the value of at least one adjustable working parameter of the fans.
Preferably, the step of calculating, for the ith fan of the plurality of fans, the power generation load level of the ith fan according to the power generation condition of the ith fan in the foregoing domestic fan intelligent control method includes: detecting the wind farm at t 0 Wind speed at multiple time points between time and current t time, wherein t is 0 The moment is earlier than the moment t; according to the position t of the wind farm 0 Calculating the wind speed change trend of the wind power plant at a plurality of time points from the moment to the moment t; predicting the wind power plant at t according to the wind speed change trend of the wind power plant 1 Wind speed at moment, where t 1 The moment is later than the moment t; at t, the wind farm is set 1 Comparing the wind speed at the moment with a preset wind speed threshold value, and at t of the wind power plant 1 When the wind speed at moment is higher than the wind speed threshold value, detecting the active power of the ith fan at moment tThe method comprises the steps of carrying out a first treatment on the surface of the Inquiring rated active power of the ith fanAccumulated operating time of the ith fanThe method comprises the steps of carrying out a first treatment on the surface of the According to the active power of the ith fan at the moment tRated active power of the ith fanAccumulated operating time of the ith fanCalculating the power generation load level of the ith fan at the moment t：
。
Preferably, in the foregoing domestic fan intelligent control method, the step of calculating the turbulence load level of the ith fan according to the turbulence condition of the wind farm includes: detecting effective turbulence intensity of wind farm at time tThe method comprises the steps of carrying out a first treatment on the surface of the Identifying one or more attributes of the wind farm in the environment that are related to turbulence; calculating an environmental impact factor Y of the wind power plant according to the value of one or more attributes of the wind power plant in the environment, wherein the environmental impact factor Y is used for reflecting the impact degree of the wind power plant in the environment on the turbulence intensity; inquiring the accumulated working time of the ith fanThe method comprises the steps of carrying out a first treatment on the surface of the According toEnvironmental influence factor Y of the wind farm, effective turbulence intensity of the wind farm at time tAccumulated operating time of the ith fanCalculating a turbulent load level of the ith fan：
。
Preferably, in the foregoing domestic fan intelligent control method, the step of calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan includes: according to the environmental turbulence intensity of the wind power plant at the time tAccessory turbulence intensity of the wind farm at time tCalculating the effective turbulence intensity of the wind farm at the time t:
。
preferably, in the foregoing domestic fan intelligent control method, the step of calculating the load distribution level of the wind farm according to the total load level of the plurality of fans includes: calculating a total load level average value of the fans according to the total load levels of the fansThe method comprises the steps of carrying out a first treatment on the surface of the According to the total load level of the fans and the average value of the total load levels of the fansCalculating a load distribution level of the wind farm:
wherein N is the number of the fans,and the total load level of the jth fan in the plurality of fans at the moment t is set.
Preferably, in the foregoing domestic fan intelligent control method, an average value of total load levels of the plurality of fans at time t is。
Preferably, before the step of generating the control instruction for the domestic main control system in the plurality of fans according to the value of the at least one adjustable working parameter of the plurality of fans when the load distribution level of the wind farm is minimum, the domestic fan intelligent control method further includes: inquiring the power supply requirement of the wind farm at the time t; calculating a value interval of at least one adjustable working parameter of the fans when the wind farm meets the power supply requirement; judging whether the value of at least one adjustable working parameter of the fans is located in a corresponding value interval, eliminating the working parameter which is not located in the corresponding value interval from the at least one adjustable working parameter, and re-entering a step of generating a control instruction for a domestic main control system in the fans according to the value of the at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum.
Preferably, the step of calculating the value of the at least one adjustable working parameter of the plurality of fans when the load distribution level of the wind farm is minimum in the domestic fan intelligent control method includes: according to the load distribution level of the wind power plant-at least one adjustable operating parameter X of said plurality of fans constitutes an objective function:
and calculating the value of at least one adjustable working parameter X of the fans when the value of the objective function is minimum.
Preferably, in the foregoing domestic fan intelligent control method, the at least one adjustable working parameter of the plurality of fans includes active power, pitch angle, tip speed ratio and/or axial induction coefficient.
In a second aspect, the present invention provides a home-made fan master control system, including: the fan inquiry module inquires a plurality of fans existing in the wind power plant; the power generation load calculation module is used for calculating the power generation load level of an ith fan in the plurality of fans according to the power generation condition of the ith fan and reflecting the power generation load condition of the ith fan due to power generation; the turbulence load calculation module is used for calculating the turbulence load level of the ith fan according to the turbulence condition of the wind power plant and reflecting the load condition of the ith fan caused by the turbulence of the wind power plant; a total load calculation module for calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan; the load distribution calculation module is used for calculating the load distribution level of the wind farm according to the total load level of the fans and reflecting whether the load distribution of the fans is balanced or not; the working parameter query module queries all working parameters in the fans; an operating parameter identification module that identifies at least one adjustable operating parameter from all operating parameters of the plurality of fans; the working parameter value taking module is used for calculating the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum; and the working parameter setting module is used for generating a control instruction for the domestic main control system in the fans according to the value of the at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum, and sending the control instruction for the domestic main control system in the fans to the fans so as to adjust the value of the at least one adjustable working parameter of the fans.
The technical scheme provided by the invention has at least one or more of the following beneficial effects:
the technical scheme of the invention is different from the prior art in that the method is characterized in that firstly, the power generation load condition of the fans caused by power generation and the load condition caused by turbulence of the wind power plant are innovatively analyzed, so that the total load level which comprehensively reflects the total load condition of the fans is calculated accurately and objectively from the whole, the load distribution levels which reflect the load distribution conditions of different fans in the whole wind power plant are calculated according to the total load level of the fans, when the value of the load distribution level of the wind power plant is minimum, the load degree of each fan in the wind power plant is closest, at the moment, the reasonable work of each fan in the wind power plant is facilitated, the occurrence of the overload condition is avoided, and therefore, a control instruction is generated according to the value of the adjustable working parameter in each fan when the value of the load distribution level of the wind power plant is minimum, the overload of each fan is favorably avoided, the service life of the fans is prolonged, and the maintenance frequency is reduced.
Drawings
The foregoing and other objects, features and advantages of the present application will become more apparent from the following more particular description of embodiments of the present application, as illustrated in the accompanying drawings. The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate the application and not constitute a limitation to the application. In the drawings, like reference numerals generally refer to like parts or steps.
FIG. 1 is a flow chart of a method for intelligent control of a domestic fan according to an embodiment of the present application;
FIG. 2 is a partial flow chart of a method for intelligent control of a domestic fan according to an embodiment of the present application;
FIG. 3 is another partial flow chart of a method for intelligent control of a domestic fan in accordance with an embodiment of the present application;
FIG. 4 is a further partial flow chart of a method for intelligent control of a domestic fan in accordance with an embodiment of the present application;
FIG. 5 is a schematic diagram of a localized logic of a method for intelligent control of a domestic fan according to an embodiment of the present application;
FIG. 6 is a further partial flow chart of a method for intelligent control of a domestic fan in accordance with an embodiment of the present application;
fig. 7 is a block diagram of a home-made blower master control system according to an embodiment of the present application.
Detailed Description
Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
As shown in fig. 1, in one embodiment of the present invention, an intelligent control method for a domestic fan is provided, including:
step S110, querying a plurality of fans existing in the wind farm.
In this embodiment, a domestic master control system is commonly used in fans.
Step S120, for the ith fan in the plurality of fans, calculating the power generation load level of the ith fan according to the power generation condition of the ith fan, wherein the power generation load level is used for reflecting the power generation load condition of the ith fan due to power generation.
In this embodiment, it is easily understood by those skilled in the art that the working load of the fan is mainly generated by power generation, so that the working load degree of the fan is closely related to the power generation condition, and thus the working load degree of the fan can be estimated based on the power generation condition of the fan.
Step S130, calculating the turbulence load level of the ith fan according to the turbulence condition of the wind power plant, wherein the turbulence load level is used for reflecting the load condition of the ith fan generated by the turbulence of the wind power plant.
In this embodiment, it is easily understood by those skilled in the art that the greater the turbulence intensity of the wind farm, the higher the fan load degree, so that the turbulence load of the fan is closely related to the turbulence intensity of the wind farm, and thus the turbulence load degree of the fan can be estimated based on the turbulence intensity of the wind farm.
Step S140, calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan.
In this embodiment, the load of the wind turbine mainly originates from the workload and the turbulence load, so based on the power generation load level and the turbulence load level obtained by the calculation, the total load level reflecting the total load level of the wind turbine can be calculated, and the quantitative description of the load level of the wind turbine in the wind farm is realized.
Step S150, calculating the load distribution level of the wind power plant according to the total load level of the plurality of fans, wherein the load distribution level is used for reflecting whether the load distribution of the plurality of fans is balanced or not.
In this embodiment, the load distribution situation of the fans in the wind farm is described through the load distribution level, and when the load distribution of a plurality of fans in the wind farm is uneven, the load degree of one or a plurality of fans is too high, so that the fans are easy to generate equipment faults.
Step S160, inquiring all working parameters in the fans.
Step S170, identifying at least one adjustable operating parameter from all operating parameters of the plurality of fans.
In this embodiment, those skilled in the art will readily appreciate that the operating parameters that may be adjusted may include active power of the fan, tip speed ratio, etc.
Step S180, calculating the value of at least one adjustable working parameter of a plurality of fans when the load distribution level of the wind power plant is minimum.
In this embodiment, when the load distribution level of the wind farm is minimum, the load distribution of each fan in the wind farm is most balanced, and at this time, the situation that the load degree of one or more fans is too high, which causes that the fans are easy to generate equipment faults, is not easy to occur.
Step S190, generating a control instruction for the domestic main control system in the fans according to the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum, and sending the control instruction for the domestic main control system in the fans to the fans so as to adjust the value of at least one adjustable working parameter of the fans.
The technical scheme of the invention is different from the prior art in that the method is characterized in that firstly, the power generation load condition of the fans caused by power generation and the load condition caused by turbulence of the wind power plant are innovatively analyzed, so that the total load level which comprehensively reflects the total load condition of the fans is calculated accurately and objectively from the whole, the load distribution levels which reflect the load distribution conditions of different fans in the whole wind power plant are calculated according to the total load level of the fans, when the value of the load distribution level of the wind power plant is minimum, the load degree of each fan in the wind power plant is closest, at the moment, the reasonable work of each fan in the wind power plant is facilitated, the occurrence of the overload condition is avoided, and therefore, a control instruction is generated according to the value of the adjustable working parameter in each fan when the value of the load distribution level of the wind power plant is minimum, the overload of each fan is favorably avoided, the service life of the fans is prolonged, and the maintenance frequency is reduced.
As shown in fig. 2, in an embodiment of the present invention, an intelligent control method for a domestic fan is provided, and compared to the foregoing embodiment, step S120 includes:
step S210, detecting that a wind power plant is at t 0 Wind speed at multiple time points between time and current t time, wherein t is 0 The moment is earlier than the moment t.
In this embodiment, t 0 The interval between time and time t may be days or hours.
Step S220, according to the wind power plant at t 0 And calculating the wind speed change trend of the wind power plant according to the wind speeds of a plurality of time points from the moment to the moment t.
In this embodiment, t is based on 0 The wind speed at a plurality of time points from the moment to the moment t can generate a function reflecting the wind speed change trend curve.
Step S230, according to the wind farmPredicting the wind speed change trend of the wind power plant at t 1 Wind speed at moment, where t 1 The moment is later than the moment t.
In this embodiment, t 1 The interval between time and time t may be days or hours. Based on the function reflecting the wind speed change trend curve, the future t can be estimated 1 Wind speed at moment.
Step S240, setting the wind power plant at t 1 Comparing the wind speed at the moment with a preset wind speed threshold value, and at t of the wind power plant 1 When the wind speed at moment is higher than a wind speed threshold value, detecting the active power of the ith fan at moment t。
In this embodiment, it is easy to understand by those skilled in the art that when the overall wind speed of the wind farm is low, the wind turbines in the wind farm are close to stop working, and the load is very small, so that the calculation resources are not wasted to regulate and control the working parameters of the wind turbines to balance the load, and therefore, the wind speed threshold value here can be set to be the maximum wind speed when the wind turbines are close to stop working.
Step S250, inquiring rated active power of the ith fanAccumulated operating time of ith fan。
Step S260, according to the active power of the ith fan at the time tRated active power of ith fanAccumulated operating time of ith fanCalculating the power generation load level of the ith fan at the moment t：
。
According to the technical scheme of the embodiment, the power generation load level of the fan can be accurately calculated.
As shown in fig. 3, in an embodiment of the present invention, an intelligent control method for a domestic fan is provided, and compared to the foregoing embodiment, step S130 includes:
step S310, detecting effective turbulence intensity of wind power plant at t time。
Step S320 identifies one or more attributes of the wind farm in the environment that are related to turbulence.
In this embodiment, the attributes of the wind farm in the environment that are related to turbulence include, but are not limited to, temperature, humidity, time, etc.
Step S330, calculating an environmental influence factor Y of the wind power plant according to the value of one or more attributes of the wind power plant in the environment, wherein the environmental influence factor Y is used for reflecting the influence degree of the wind power plant in the environment on the turbulence intensity.
In this embodiment, a numerical value capable of reflecting the influence degree of the wind power plant on the turbulence intensity in the environment can be comprehensively designed according to the temperature value, the humidity value and the climate level of the wind power plant in the environment at the current time.
Step S340, inquiring the accumulated working time of the ith fan。
Step S350, according to the environmental influence factor Y of the wind power plant and the effective turbulence intensity of the wind power plant at the time tAccumulated operating time of ith fanCalculating the turbulent load level of the ith fan：
Wherein, the intensity of the environmental turbulence of the wind power plant at the time t can be based onAccessory turbulence intensity of wind farm at time tCalculating the effective turbulence intensity of the wind power plant at the time t:。
according to the technical scheme of the embodiment, the turbulence load level of the fan can be accurately calculated.
As shown in fig. 4, in an embodiment of the present invention, an intelligent control method for a domestic fan is provided, and compared to the foregoing embodiment, step S150 includes:
step S410, calculating the average value of the total load levels of the fans according to the total load levels of the fans
Step S420, according to the total load level of the fans and the average value of the total load levels of the fansCalculating the load distribution level of the wind farm:
wherein N is the number of a plurality of fans,for the total load level of the jth fan of the fans at the time t, the average value of the total load levels of the fans at the time t in step S410 is。
According to the technical scheme of the embodiment, when the load distribution level of the wind power plant is larger, the load distribution of each fan in the wind power plant is unbalanced, namely the problem that the load degree of one or more fans is too high easily occurs, and when the load distribution level of the wind power plant is smaller, the load distribution of each fan in the wind power plant tends to be balanced, and at the moment, the situation that the load degree of one or more fans is too high, so that equipment faults are easily generated by the fans is not easy to occur.
As shown in fig. 5, in an embodiment of the present invention, compared to the foregoing embodiment, the method for controlling a domestic fan according to the present invention further includes, before step S190:
step S510, inquiring the power supply requirement of the wind farm at the time t.
In this embodiment, those skilled in the art will understand that the electricity industry and industry have different electricity requirements at different times, and the power generator set of the wind farm is required to coordinate and adjust the power supply.
Step S520, calculating a value interval of at least one adjustable working parameter of the fans when the wind farm meets the power supply requirement.
In this embodiment, under different wind farm power supply requirements, each working parameter of the fan is usually located in a stable interval, and the situation that the numerical value is too high or low cannot occur.
Step S530, judging whether the value of at least one adjustable working parameter of the fans is located in the corresponding value interval, eliminating the working parameter which is not located in the corresponding value interval from the at least one adjustable working parameter, and re-entering step S190.
According to the technical scheme of the embodiment, whether the calculated value of at least one adjustable working parameter of a plurality of fans is located in a reasonable interval is actually analyzed, the power supply requirement of a wind power plant is met, if a certain working parameter is not located in the reasonable value interval, it is stated that the adjustment of the value of the working parameter possibly leads to the fact that the power supply of the wind power plant cannot meet the requirement, therefore, the value of the working parameter is not suitable to be adjusted, at the moment, the working parameter is removed from the adjustable working parameters, and the remaining values of the adjustable working parameters are recalculated.
As shown in fig. 6, in an embodiment of the present invention, an intelligent control method for a domestic fan is provided, and compared to the foregoing embodiment, step S180 includes:
step S610, according to the load distribution level of the wind farmAt least one adjustable operating parameter X of the plurality of fans constructs an objective function:
。
in step S620, a value of at least one adjustable operating parameter X of the plurality of fans is calculated when the value of the objective function is minimal.
According to the technical scheme of the embodiment, when the load distribution level of the wind farm is minimum, the load distribution of each fan in the wind farm is balanced, the situation that the load degree of one or more fans is too high and equipment faults are easy to occur to the fans is not easy to occur at the moment, the domestic main control system of the fans is adjusted according to the values of the adjustable working parameters of the fans at the moment, and at the moment, reasonable work of each fan in the wind farm is facilitated and the situation of excessive load is avoided.
As shown in fig. 7, in one embodiment of the present invention, there is provided a home-made fan master control system, including:
the fan query module 710 queries a plurality of fans present in the wind farm.
In this embodiment, a domestic master control system is commonly used in fans.
The power generation load calculation module 720 calculates, for an ith fan of the plurality of fans, a power generation load level of the ith fan according to a power generation condition of the ith fan, and is used for reflecting a power generation load condition of the ith fan due to power generation.
In this embodiment, it is easily understood by those skilled in the art that the working load of the fan is mainly generated by power generation, so that the working load degree of the fan is closely related to the power generation condition, and thus the working load degree of the fan can be estimated based on the power generation condition of the fan.
The turbulence load calculating module 730 calculates a turbulence load level of the ith fan according to the turbulence condition of the wind farm, and is used for reflecting the load condition of the ith fan generated by the turbulence of the wind farm.
In this embodiment, it is easily understood by those skilled in the art that the greater the turbulence intensity of the wind farm, the higher the fan load degree, so that the turbulence load of the fan is closely related to the turbulence intensity of the wind farm, and thus the turbulence load degree of the fan can be estimated based on the turbulence intensity of the wind farm.
The total load calculation module 740 calculates a total load level of the ith blower based on the power generation load level of the ith blower and the turbulent load level of the ith blower.
In this embodiment, the load of the wind turbine mainly originates from the workload and the turbulence load, so based on the power generation load level and the turbulence load level obtained by the calculation, the total load level reflecting the total load level of the wind turbine can be calculated, and the quantitative description of the load level of the wind turbine in the wind farm is realized.
The load distribution calculation module 750 calculates a load distribution level of the wind farm according to the total load levels of the plurality of fans, and is used for reflecting whether the load distribution of the plurality of fans is balanced.
In this embodiment, the load distribution situation of the fans in the wind farm is described through the load distribution level, and when the load distribution of a plurality of fans in the wind farm is uneven, the load degree of one or a plurality of fans is too high, so that the fans are easy to generate equipment faults.
The operating parameter query module 760 queries all operating parameters of the plurality of fans.
The operating parameter identification module 770 identifies at least one adjustable operating parameter from all operating parameters of the plurality of fans.
In this embodiment, those skilled in the art will readily appreciate that the operating parameters that may be adjusted may include active power of the fan, tip speed ratio, etc.
The operating parameter value module 780 calculates a value of at least one adjustable operating parameter for the plurality of fans when the load distribution level of the wind farm is minimal.
In this embodiment, when the load distribution level of the wind farm is minimum, the load distribution of each fan in the wind farm is most balanced, and at this time, the situation that the load degree of one or more fans is too high, which causes that the fans are easy to generate equipment faults, is not easy to occur.
The working parameter setting module 790 generates a control instruction for the domestic master control system in the plurality of fans according to the value of the at least one adjustable working parameter of the plurality of fans when the load distribution level of the wind farm is minimum, and sends the control instruction for the domestic master control system in the plurality of fans to adjust the value of the at least one adjustable working parameter of the plurality of fans.
The technical scheme of the invention is different from the prior art in that the method is characterized in that firstly, the power generation load condition of the fans caused by power generation and the load condition caused by turbulence of the wind power plant are innovatively analyzed, so that the total load level which comprehensively reflects the total load condition of the fans is calculated accurately and objectively from the whole, the load distribution levels which reflect the load distribution conditions of different fans in the whole wind power plant are calculated according to the total load level of the fans, when the value of the load distribution level of the wind power plant is minimum, the load degree of each fan in the wind power plant is closest, at the moment, the reasonable work of each fan in the wind power plant is facilitated, the occurrence of the overload condition is avoided, and therefore, a control instruction is generated according to the value of the adjustable working parameter in each fan when the value of the load distribution level of the wind power plant is minimum, the overload of each fan is favorably avoided, the service life of the fans is prolonged, and the maintenance frequency is reduced.
The basic principles of the present application have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present application are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present application. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the application is not intended to be limited to the details disclosed herein as such.
The block diagrams of the devices, apparatuses, devices, systems referred to in this application are only illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
It is also noted that in the apparatus, devices and methods of the present application, the components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent to the present application.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the application. Thus, the present application is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the application to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims (10)

1. The intelligent control method for the domestic fan is characterized by comprising the following steps of:
querying a plurality of fans existing in a wind farm;
for an ith fan in the plurality of fans, calculating a power generation load level of the ith fan according to the power generation condition of the ith fan, wherein the power generation load level is used for reflecting the power generation load condition of the ith fan due to power generation;
according to the turbulence condition of the wind power plant, calculating the turbulence load level of the ith fan, wherein the turbulence load level is used for reflecting the load condition of the ith fan generated by the turbulence of the wind power plant;
calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan;
calculating the load distribution level of the wind farm according to the total load level of the fans, wherein the load distribution level is used for reflecting whether the load distribution of the fans is balanced or not;
inquiring all working parameters of the fans;
identifying at least one adjustable operating parameter from all operating parameters of the plurality of fans;
calculating the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum;
generating a control instruction for a domestic main control system in the fans according to the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum, and sending the control instruction for the domestic main control system in the fans to the fans so as to adjust the value of at least one adjustable working parameter of the fans.
2. The intelligent control method of domestic fans according to claim 1, wherein the step of calculating the power generation load level of an i-th fan among the plurality of fans according to the power generation condition of the i-th fan comprises:
detecting the wind farm at t 0 Wind speed at multiple time points between time and current t time, wherein t is 0 The moment is earlier than the moment t;
according to the position t of the wind farm 0 Calculating the wind speed change trend of the wind power plant at a plurality of time points from the moment to the moment t;
predicting the wind power plant at t according to the wind speed change trend of the wind power plant 1 Wind speed at moment, where t 1 The moment is later than the moment t;
at t, the wind farm is set 1 Comparing the wind speed at the moment with a preset wind speed threshold value, and at t of the wind power plant 1 When the wind speed at moment is higher than the wind speed threshold value, detecting the active power of the ith fan at moment t；
Inquiring rated active power of the ith fanAccumulated operating time of the ith blower>；
According to the active power of the ith fan at the moment tRated active power of the ith fan>Accumulated operating time of the ith blower>Calculating the power generation load level of the ith fan at the moment t>：
。
3. The intelligent control method of domestic fans according to claim 1, wherein the step of calculating the turbulence load level of the ith fan according to the turbulence conditions of the wind farm comprises:
detecting effective turbulence intensity of wind farm at time t；
Identifying one or more attributes of the wind farm in the environment that are related to turbulence;
calculating an environmental impact factor Y of the wind power plant according to the value of one or more attributes of the wind power plant in the environment, wherein the environmental impact factor Y is used for reflecting the impact degree of the wind power plant in the environment on the turbulence intensity;
inquiring the accumulated working time of the ith fan；
According to the environmental influence factor Y of the wind power plant and the effective turbulence intensity of the wind power plant at the moment tAccumulated operating time of the ith blower>Calculating the turbulence load level of said i-th fan +.>：
。
4. The intelligent control method for domestic fans according to claim 3, wherein the step of calculating the total load level of the i-th fan based on the power generation load level of the i-th fan and the turbulence load level of the i-th fan comprises:
according to the environmental turbulence intensity of the wind power plant at the time tAccessory turbulence intensity of the wind farm at time t +.>Calculating the effective turbulence intensity of the wind farm at the time t:
。
5. the intelligent control method of domestic fans according to claim 1, wherein the step of calculating the load distribution level of the wind farm based on the total load level of the fans comprises:
calculating a total load level average value of the fans according to the total load levels of the fans；
According to the total load level of the fans and the average value of the total load levels of the fansCalculating a load distribution level of the wind farm:
wherein N is the number of the fans, < > and the number of the fans is equal to the number of the fans>And the total load level of the jth fan in the plurality of fans at the moment t is set.
6. The intelligent control method of the domestic fan according to claim 5, wherein,
the average value of the total load levels of the fans at the time t is。
7. The intelligent control method of a domestic fan according to claim 5, further comprising, before the step of generating the control command to the domestic master control system of the plurality of fans according to the value of the at least one adjustable operating parameter of the plurality of fans when the load distribution level of the wind farm is minimum:
inquiring the power supply requirement of the wind farm at the time t;
calculating a value interval of at least one adjustable working parameter of the fans when the wind farm meets the power supply requirement;
judging whether the value of at least one adjustable working parameter of the fans is located in a corresponding value interval, eliminating the working parameter which is not located in the corresponding value interval from the at least one adjustable working parameter, and re-entering a step of generating a control instruction for a domestic main control system in the fans according to the value of the at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum.
8. The intelligent control method of domestic fans according to claim 1, wherein the step of calculating the value of the at least one adjustable operating parameter of the fans when the load distribution level of the wind farm is minimum comprises:
according to the load distribution level of the wind power plant-at least one adjustable operating parameter X of said plurality of fans constitutes an objective function:
and calculating the value of at least one adjustable working parameter X of the fans when the value of the objective function is minimum.
9. The intelligent control method for the domestic fan according to claim 1, wherein,
the at least one adjustable operating parameter of the plurality of fans includes active power, pitch angle, tip speed ratio, and/or axial induction coefficient.
10. A domestic fan master control system, characterized by comprising:
the fan inquiry module inquires a plurality of fans existing in the wind power plant;
the power generation load calculation module is used for calculating the power generation load level of an ith fan in the plurality of fans according to the power generation condition of the ith fan and reflecting the power generation load condition of the ith fan due to power generation;
the turbulence load calculation module is used for calculating the turbulence load level of the ith fan according to the turbulence condition of the wind power plant and reflecting the load condition of the ith fan caused by the turbulence of the wind power plant;
a total load calculation module for calculating the total load level of the ith fan according to the power generation load level of the ith fan and the turbulent load level of the ith fan;
the load distribution calculation module is used for calculating the load distribution level of the wind farm according to the total load level of the fans and reflecting whether the load distribution of the fans is balanced or not;
the working parameter query module queries all working parameters in the fans;
an operating parameter identification module that identifies at least one adjustable operating parameter from all operating parameters of the plurality of fans;
the working parameter value taking module is used for calculating the value of at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum;
and the working parameter setting module is used for generating a control instruction for the domestic main control system in the fans according to the value of the at least one adjustable working parameter of the fans when the load distribution level of the wind power plant is minimum, and sending the control instruction for the domestic main control system in the fans to the fans so as to adjust the value of the at least one adjustable working parameter of the fans.
CN202311735509.6A 2023-12-18 2023-12-18 Intelligent control method for domestic fan Withdrawn CN117419002A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107654342A (en) * 2017-09-21 2018-02-02 湘潭大学 A kind of abnormal detection method of Wind turbines power for considering turbulent flow
CN112260325A (en) * 2020-11-24 2021-01-22 武汉大学 Wind power plant active power control method considering fatigue load of wind driven generator
CN113836762A (en) * 2021-08-25 2021-12-24 中国大唐集团新能源科学技术研究院有限公司 Wind turbine and wind power plant digital mirror image simulation display system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107654342A (en) * 2017-09-21 2018-02-02 湘潭大学 A kind of abnormal detection method of Wind turbines power for considering turbulent flow
CN112260325A (en) * 2020-11-24 2021-01-22 武汉大学 Wind power plant active power control method considering fatigue load of wind driven generator
CN113836762A (en) * 2021-08-25 2021-12-24 中国大唐集团新能源科学技术研究院有限公司 Wind turbine and wind power plant digital mirror image simulation display system

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Application publication date: 20240119