CN105302979B - The modeling method and system of valve group in two-p hase fluid network model - Google Patents

The modeling method and system of valve group in two-p hase fluid network model Download PDF

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CN105302979B
CN105302979B CN201510761024.3A CN201510761024A CN105302979B CN 105302979 B CN105302979 B CN 105302979B CN 201510761024 A CN201510761024 A CN 201510761024A CN 105302979 B CN105302979 B CN 105302979B
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valve
current
valve group
group
branch
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CN105302979A (en
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陈世和
张曦
潘凤萍
罗嘉
朱亚清
余圣方
吴乐
胡康涛
苏凯
李晓枫
任娟娟
史玲玲
欧阳春明
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Unigroup Beijing Intelligent Control Science & Technology Co ltd
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Abstract

The present invention relates to the modeling methods and system of valve group in a kind of two-p hase fluid network model, comprising: obtains the current valve position of each valve of fluid density and valve group;The current negotiability of each valve is calculated according to the current valve position of each valve of fluid density and valve group;The combined flow ability of valve group is calculated according to the current negotiability of each valve of valve group;Establish the branch grid of valve group in analogue system according to combined flow ability, branch grid includes two nodes and the branch for being equivalent to valve group that is connected between two nodes.Since each valve group is divided into a branch grid, two nodes, and branch combined flow ability is calculated according to the current valve position of fluid density and valve using algebraic approach, therefore, number of nodes reduces so that calculation amount reduces, on the other hand, number of nodes reduces, and the data point for needing to monitor at the scene also reduces, to reduce costs.

Description

The modeling method and system of valve group in two-p hase fluid network model
Technical field
The present invention relates to Power Plant Simulation field, modeling method more particularly to valve group in two-p hase fluid network model and System.
Background technique
With the high speed development of China's power industry, large capacity, high parameter unit have become for mainstream, analogue system Slowly switched to that the important function of prioritization scheme and Instructing manufacture can be provided to generate by original pure training system, that is to say, that Current High Precision Simulation system is slowly slowly drawn close to production from backstage, is generated to the actual production power generation at scene more direct Influence, just to the modeling of replicating machine and computational accuracy, more stringent requirements are proposed for this.And as in-circuit emulation technology is future Development trend, this just has higher requirement to the reasonability of simulation modeling.
In the modeling of two-p hase fluid network model, the division of branch grid is basis, establishes two-phase according to bypass flow Fluidic network theory.The division of existing branch grid connects using any one valve arrangement as a branch, equipment and equipment It meets place to handle as internal node, then goes to calculate every bypass flow.Since branch node is more, on the one hand, calculation amount compared with Greatly, on the other hand, it needs at the scene to detect to obtain node data and branch data each node and branch, needs to match Standby a large amount of spot measurement device, higher cost.
Summary of the invention
Based on this, it is necessary to provide the modeling of valve group in one kind two-p hase fluid network model at low cost and small calculation amount Method and system.
The modeling method of valve group in a kind of two-p hase fluid network model, comprising:
Obtain the current valve position of each valve of fluid density and the valve group;
Working as each valve is calculated according to the current valve position of each valve of the fluid density and the valve group Preceding negotiability;
The combined flow ability of the valve group is calculated according to the current negotiability of each valve of the valve group;
The branch grid of the valve group, the branch grid are established in analogue system according to the combined flow ability Including two nodes and the branch for being equivalent to the valve group being connected between two node.
In a kind of wherein embodiment, according to the current valve position of each valve of the fluid density and the valve group Calculate the formula of the current negotiability of each valve are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is that valve is maximum Negotiability.
In a kind of wherein embodiment, the current negotiability of each valve according to the valve group calculates institute The combined flow ability for stating valve group includes:
According to the connection relationship between valve described in the valve group, made with the current negotiability of each valve For the flow of branch where each valve, the combined flow ability of the valve group is calculated separately by algebraic method.
In a kind of wherein embodiment, the current valve of each valve for obtaining fluid density and the valve group The step of position are as follows: the current valve position of each valve of the fluid density and the valve group that monitor is obtained, or, obtaining The current valve position of each valve of the fluid density and valve group of user's input.
In a kind of wherein embodiment, the analogue system is DCOSE.
The present invention also provides a kind of modelings of valve group in two-p hase fluid network model, comprising:
Obtain module, the current valve position of each valve for obtaining fluid density and the valve group;
First computing module, for being calculated according to the current valve position of the fluid density and each valve of the valve group The current negotiability of each valve;
Second computing module, the current negotiability for each valve according to the valve group calculate the valve group Combined flow ability;
Modeling module, for establishing the Branch Road Network of the valve group in analogue system according to the combined flow ability Lattice, the branch grid include two nodes and the branch for being equivalent to the valve group that is connected between two node.
In a kind of wherein embodiment, according to the current valve position of each valve of the fluid density and the valve group Calculate the formula of the current negotiability of each valve are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is that valve is maximum Negotiability.
In a kind of wherein embodiment, second computing module, with specific reference to valve described in the valve group it Between connection relationship passed through using the flow of branch where the current negotiability of each valve as each valve Algebraic method calculates separately the combined flow ability of the valve group.
In a kind of wherein embodiment, the acquisition module, specifically for obtain the fluid density that monitors with And the current valve position of each valve of the valve group, or, being specifically used for obtaining the fluid density and the institute of user's input State the current valve position of each valve of valve group.
In a kind of wherein embodiment, the analogue system is DCOSE.
The modeling method of valve group in the two-p hase fluid network model passes through the every of the fluid density of acquisition and valve group The current valve position of a valve calculates the current negotiability of each valve, further according to the current circulation energy of each valve of valve group Power calculates the combined flow ability of valve group, to establish the Branch Road Network of valve group in analogue system according to combined flow ability Lattice, each valve group are divided into a branch grid.The modeling method of the two-p hase fluid network model, due to each valve group It is divided into a branch grid, two nodes, and branch combined flow ability is according to fluid density and the current valve position of valve It is calculated using algebraic approach, therefore, number of nodes reduces so that calculation amount reduces, and on the other hand, number of nodes reduces, The data point for needing to monitor at the scene also reduces, to reduce costs.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the modeling method of valve group in two-p hase fluid network model;
Fig. 2 is a kind of schematic diagram of typical valve group;
Fig. 3 is using conventional method partitioning site-branch grid schematic diagram;
Fig. 4 is using the present processes partitioning site-branch grid schematic diagram;
Fig. 5 is a kind of module diagram of the modeling of valve group in two-p hase fluid network model.
Specific embodiment
As shown in Figure 1, in a kind of two-p hase fluid network model valve group modeling method, comprising:
S10: the valve position of each valve of fluid density and valve group is obtained.
Specifically, the valve position of fluid density and each valve can be inputted by user by host computer, alternatively, the emulation system It unites and is connect with the detection device at scene, send analogue system for the detection data at scene in real time.
S30: the current circulation energy of each valve is calculated according to the current valve position of each valve of fluid density and valve group Power.
The current negotiability of valve is related with the current valve position of fluid density and valve, according to fluid density and valve The current valve position of door calculates the current negotiability of valve.
S50: the combined flow ability of valve group is calculated according to the current negotiability of each valve of valve group.
S70: establishing the branch grid of valve group according to combined flow ability in analogue system, and branch grid includes two sections Point and the branch for being equivalent to valve group being connected between two nodes.
The branch grid of valve group is established in analogue system according to combined flow, each valve group is divided into a branch Road network lattice.
The modeling method of valve group in the two-p hase fluid network model passes through the every of the fluid density of acquisition and valve group The current valve position of a valve calculates the current negotiability of each valve, further according to the current circulation energy of each valve of valve group Power calculates the combined flow ability of valve group, to establish the Branch Road Network of valve group in analogue system according to combined flow ability Lattice, each valve group are divided into a branch grid.The modeling method of valve group in the two-p hase fluid network model, due to every One valve group is divided into a branch grid, two nodes, and branch combined flow ability is according to fluid density and valve Current valve position is calculated using algebraic approach, and therefore, number of nodes reduces so that calculation amount reduction, another aspect, node Quantity reduces, and the data point for needing to monitor at the scene also reduces, to reduce costs.
Specifically, calculating each valve according to the current valve position of each valve of fluid density and valve group in step S30 Current negotiability formula are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is that valve is maximum Negotiability.
In a kind of wherein embodiment, step S50 includes: according to the connection relationship in valve group between valve, with every Flow of the current negotiability of a valve as branch where each valve, calculates separately the comprehensive of valve group by algebraic method Close negotiability.
In a particular embodiment, which is DCOSE (distributed emulation back-up environment) comprising number in real time It is most of according to library service, the foundation of real-time computing engines, Computer Aided Modeling system, operator terminal and operation four.Wherein Computer Aided Modeling system includes 5 solutions again: fluid network automatic modeling, control loop configuration, electrical network are certainly The graphic configuration of dynamic modeling, ladder diagram modeling and general fashion.
The modeling method of the two-p hase fluid network model is suitable in valve group, such as power plant system water tune on oxygen-eliminating device Door valve group, boiler water filling pitch valve group etc., valve group include at least two branches in parallel, and each road includes at least One valve.
By taking Fig. 2 typical case's valve group as an example, it is illustrated.
It is using any one equipment as a branch, equipment and equipment junction in traditional fluidic network theory As internal node processing.If typical valve group partitioning site-branch grid in Fig. 2 can be divided into 6 nodes and 7 Branch, it is specific as shown in Figure 3.
Using the modeling method of the application, each valve group is divided into a branch grid and two nodes, such as Fig. 4 It is shown.
Assuming that the fluid of each node is incompressible fluid, then valve 1, valve 2 are identical with the flow of valve 3, valve 4, Valve 5 is identical with the flow of valve 6.
According to the formula of the current negotiability of each valve, the current negotiability of each valve can be calculated:
Cv1=CvMAX1*Vp1*Vp1*ρ;
Cv2=CvMAX2*Vp2*Vp2*ρ;
Cv3=CvMAX3*Vp3*Vp3*ρ;
Cv4=CvMAX4*Vp4*Vp4*ρ;
Cv5=CvMAX5*Vp5*Vp5*ρ;
Cv6=CvMAX6*Vp6*Vp6*ρ;
Cv7=CvMAX7*Vp7*Vp7*ρ;
Wherein, lower target 1,2,3,4,5,6,7 is corresponding with valve number respectively.
By the Meshing Method in Fig. 3, then there are 6 nodes, respectively 1~node of node 6, pressure distinguishes P1, P2, P3, P4, P5, P6 share 7 branches, respectively 1~branch of branch 7.
For branch 1, wherein containing equipment valve 1, its upper node is that No. 1 node lower node is No. 3 nodes, then in valve The flow flowed through in door 1 may be expressed as:
F1 2=CvMAX1*Vp1*Vp1*ρ*(P3-P1) (1)
Correspondingly, the flow that other valves flow through may be expressed as:
F2 2=CvMAX2*Vp2*Vp2*ρ*(P4-P3) (2)
F3 2=CvMAX3*Vp3*Vp3*ρ*(P2-P4) (3)
F4 2=CvMAX4*Vp4*Vp4*ρ*(P5-P1) (4)
F5 2=CvMAX5*Vp5*Vp5*ρ*(P6-P5) (5)
F6 2=CvMAX6*Vp6*Vp6*ρ*(P2-P6) (6)
F7 2=CvMAX7*Vp7*Vp7*ρ*(P2-P1) (7)
Wherein: subscript 1,2,3,4,5,6,7 represents corresponding every branch;F is bypass flow;CvMAX is the branch Maximum current capacity;Vp is the valve position;ρ is the fluid density of circulation.
For in the mathematical model of Fig. 3,
Then by formula (1), (2), (3) are cumulative, abbreviation arrangement can obtain:
For in the mathematical model of Fig. 3, it is assumed that the fluid of each node is incompressible fluid, then has:
F1=F2=F3
Therefore:
Similarly, the 4th, 5,6 bypass flow can be similarly calculated as
7th article of bypass flow be
Total flow F between node 1 and node 2 is
F=F1+F4+F7
Then, in Fig. 3 mathematical model, the total flow of node 1 and node 2 are as follows:
For in the mathematical model of Fig. 3, the flow F between node 1 and node 2 is
F2=Cv* ρ * (P2-P1) (12)
Wherein: F is bypass flow, and CV is the comprehensive through-current capability of each branch, and ρ is fluid density.
And for Fig. 3 and Fig. 4, physical object is the same, so its total flow is also identical, so to formula 12 and formula 11 arrange, and the branch combined flow ability of Fig. 4 can be obtained:
Wherein, the combined flow ability of every branch of the current negotiability of each valve equal to Fig. 3, it can be seen that, The branch combined flow ability of the application is solved by algebraic method, rather than solves bypass flow by building math matrix And node pressure improves modeling efficiency to reduce the treating capacity of data.
The present invention also provides a kind of modelings of valve group in two-p hase fluid network model, as shown in Figure 5, comprising:
Obtain module 10, the current valve position of each valve for obtaining fluid density and the valve group.
Specifically, the valve position of fluid density and each valve can be inputted by user by host computer, alternatively, the emulation system It unites and is connect with the detection device at scene, send analogue system for the detection data at scene in real time.Correspondingly, module is obtained, tool Body is used to obtain the current valve position of the fluid density of user's input and each valve of the valve group, alternatively, specifically For obtaining the current valve position of each valve of the fluid density and the valve group that monitor.
First computing module 30, based on according to the current valve position of the fluid density and each valve of the valve group Calculate the current negotiability of each valve.
The current negotiability of valve is related with the current valve position of fluid density and valve, according to fluid density and valve The current valve position of door calculates the current negotiability of valve.
Second computing module 50, the current negotiability for each valve according to the valve group calculate valve group Combined flow ability
Modeling module 70, for establishing the branch grid of valve group, branch in analogue system according to combined flow ability Grid includes two nodes and the branch for being equivalent to valve group that is connected between two nodes.
The branch grid of valve group is established in analogue system according to combined flow, each valve group is divided into a branch Road network lattice.
The modeling of valve group in the two-p hase fluid network model passes through the every of the fluid density of acquisition and valve group The current valve position of a valve calculates the current negotiability of each valve, further according to the current circulation energy of each valve of valve group Power calculates the combined flow ability of valve group, to establish the Branch Road Network of valve group in analogue system according to combined flow ability Lattice, each valve group are divided into a branch grid.The modeling of valve group in the two-p hase fluid network model, due to every One valve group is divided into a branch grid, two nodes, and branch combined flow ability is according to fluid density and valve Current valve position is calculated using algebraic approach, and therefore, number of nodes reduces so that calculation amount reduction, another aspect, node Quantity reduces, and the data point for needing to monitor at the scene also reduces, to reduce costs.
Specifically, calculating the current circulation of each valve according to the current valve position of each valve of fluid density and valve group The formula of ability are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is that valve is maximum Negotiability.
In a kind of wherein embodiment, the second computing module 50, specifically for according to the company in valve group between valve Relationship is connect, using the flow of branch where the current negotiability of each valve as each valve, is counted respectively by algebraic method Calculate the combined flow ability of valve group.
In a particular embodiment, which is DCOSE (distributed emulation back-up environment) comprising number in real time It is most of according to library service, the foundation of real-time computing engines, Computer Aided Modeling system, operator terminal and operation four.Wherein Computer Aided Modeling system includes 5 solutions again: fluid network automatic modeling, control loop configuration, electrical network are certainly The graphic configuration of dynamic modeling, ladder diagram modeling and general fashion.
The modeling of the two-p hase fluid network model is suitable in valve group, such as power plant system water tune on oxygen-eliminating device Door valve group, boiler water filling pitch valve group etc., valve group include at least two branches in parallel, and each road includes at least One valve.
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (10)

1. the modeling method of valve group in a kind of two-p hase fluid network model characterized by comprising
Obtain the current valve position of each valve of fluid density and the valve group;
The current stream of each valve is calculated according to the current valve position of each valve of the fluid density and the valve group Logical ability;
The combined flow ability of the valve group is calculated according to the current negotiability of each valve of the valve group;
The branch grid of the valve group is established in analogue system according to the combined flow ability, the branch grid includes Two nodes and the branch for being equivalent to the valve group being connected between two node.
2. the modeling method of valve group in two-p hase fluid network model according to claim 1, which is characterized in that according to institute State each valve of fluid density and the valve group current valve position calculate each valve current negotiability public affairs Formula are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is valve maximum flow Ability.
3. the modeling method of valve group in two-p hase fluid network model according to claim 1, which is characterized in that described Include: according to the combined flow ability that the current negotiability of each valve of the valve group calculates the valve group
According to the connection relationship between valve described in the valve group, using the current negotiability of each valve as institute The flow of branch, the combined flow ability of the valve group is calculated separately by algebraic method where stating each valve.
4. the modeling method of valve group in two-p hase fluid network model according to claim 1, which is characterized in that described to obtain The step of taking the current valve position of each valve of fluid density and the valve group are as follows: obtain the fluid density monitored And the current valve position of each valve of the valve group, or, obtaining the fluid density and the valve that user inputs The current valve position of each valve of group.
5. the modeling method of valve group in two-p hase fluid network model according to claim 1, which is characterized in that described imitative True system is DCOSE.
6. the modeling of valve group in a kind of two-p hase fluid network model characterized by comprising
Obtain module, the current valve position of each valve for obtaining fluid density and the valve group;
First computing module, for according to the calculating of the current valve position of the fluid density and each valve of the valve group The current negotiability of each valve;
Second computing module, the current negotiability for each valve according to the valve group calculate the comprehensive of the valve group Close negotiability;
Modeling module, for establishing the branch grid of the valve group, institute in analogue system according to the combined flow ability State the branch for being equivalent to the valve group that branch grid includes two nodes and is connected between two node.
7. the modeling of valve group in two-p hase fluid network model according to claim 6, which is characterized in that according to institute State each valve of fluid density and the valve group current valve position calculate each valve current negotiability public affairs Formula are as follows:
Cv=CvMAX*Vp*Vp* ρ
Wherein, Cv is current negotiability, and Vp is the current valve position of valve, and ρ is fluid density, and CvMAX is valve maximum flow Ability.
8. the modeling of valve group in two-p hase fluid network model according to claim 6, which is characterized in that described Two computing modules, with specific reference to the connection relationship between valve described in the valve group, with the current stream of each valve Flow of the logical ability as branch where each valve, the combined flow of the valve group is calculated separately by algebraic method Ability.
9. the modeling of valve group in two-p hase fluid network model according to claim 6, which is characterized in that described to obtain Modulus block, the current valve position of each valve specifically for obtaining the fluid density and the valve group that monitor, or, Specifically for obtaining the current valve position of the fluid density of user's input and each valve of the valve group.
10. the modeling of valve group in two-p hase fluid network model according to claim 6, which is characterized in that described Analogue system is DCOSE.
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US9864383B2 (en) * 2015-04-02 2018-01-09 Belimo Holding Ag Method and system for determining characteristic parameters of a hydraulic network
CN111180767B (en) * 2020-01-07 2022-03-08 天津大学 Fuel cell stack modeling method with fluid uneven distribution effect
CN111581695B (en) * 2020-04-21 2022-04-19 深圳市华阳国际工程设计股份有限公司 Automatic modeling method and device of valve combination based on BIM and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4824614A (en) * 1987-04-09 1989-04-25 Santa Fe Energy Company Device for uniformly distributing a two-phase fluid
CN101554541A (en) * 2009-04-03 2009-10-14 江苏工业学院 Complex T-shaped pipe separator for multi-phase flow separation and separation method thereof
CN101727108A (en) * 2008-10-30 2010-06-09 北京航空航天大学 Low-flow gas control device and using method thereof
CN103471810A (en) * 2013-09-16 2013-12-25 哈尔滨工程大学 Interbank two-phase flow instability and alternating heat stress research testing device under load shedding disturbance

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4824614A (en) * 1987-04-09 1989-04-25 Santa Fe Energy Company Device for uniformly distributing a two-phase fluid
CN101727108A (en) * 2008-10-30 2010-06-09 北京航空航天大学 Low-flow gas control device and using method thereof
CN101554541A (en) * 2009-04-03 2009-10-14 江苏工业学院 Complex T-shaped pipe separator for multi-phase flow separation and separation method thereof
CN103471810A (en) * 2013-09-16 2013-12-25 哈尔滨工程大学 Interbank two-phase flow instability and alternating heat stress research testing device under load shedding disturbance

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