A pump station system operation regulation method, system, device and medium based on a full-flow system

Abstract

The present application relates to the field of water conservancy system optimization, in particular to a pump station system operation regulation method, system, equipment and medium based on a full flow system, the method comprising the following steps: step 1, establishing a three-dimensional geometric model of the full flow system of the pump station; step 2, meshing; step 3, numerical simulation is carried out by using a turbulence model; under the condition that the total water intake of the pump station is determined, the optimal flow distribution scheme when different unit combinations operate is obtained; step 4, the optimal unit combination scheme is obtained by comparing the optimal starting scheme of the pump station system and the optimal flow distribution scheme when different unit combinations operate. The present application aims to reduce the operation cost of the pump station and improve the operation efficiency of the pump station, analyzes the flow characteristics in the water pump by the numerical simulation method, obtains the optimal starting combination scheme, and optimizes the flow distribution of the pump station based on the external characteristic curve of the water pump under the premise that the total water intake of the pump station is certain.

Description

Technical Field

[0001] This invention relates to the field of water conservancy system optimization, specifically to a method, system, equipment, and medium for the operation and control of a pumping station system based on a full-flow system. Background Technology

[0002] The development of pumping station projects in terms of scale, quantity, and technology has led to an increase in the electrical energy consumed during operation. To ensure the safe, stable, economical, and long-term operation of pumping stations, in addition to the good hydraulic performance of the pump units, the inlet device needs to provide the pump unit with good water intake conditions as much as possible, and the outlet device needs to be able to recover energy to the maximum extent.

[0003] Previous studies have mainly focused on the system consisting of the "inlet channel + pump device" or the water conveyance device in the unit section, while there are few studies on the full flow system consisting of the "inlet device + pump device + outlet device". Furthermore, the hydraulic relationship between the inlet device, pump device, and outlet device is complex, and most studies use simplified boundary conditions, ignoring the influence of the free liquid surface on the hydraulic performance of the pump unit.

[0004] Furthermore, in the actual operation of the pumping station, the operating conditions of each unit will be constantly adjusted according to changes in the natural water volume and downstream conditions; different start-up combinations and sequences under the same operating conditions of the pumping station have a significant impact on the performance of the pump units, the operating status and stability of the pumping station system. Therefore, the operation and management personnel of the pumping station must make adjustments at any time according to the actual situation to ensure that the pumping station maximizes its benefits while minimizing energy consumption {Yu Fangbin, 2002 #9}. Summary of the Invention

[0005] To address the problem of high energy consumption in pump station operation caused by incomplete research on the impact of pump unit hydraulic performance on pump station systems in existing technologies, this invention provides a pump station system operation control method, system, equipment, and medium based on a full-flow system.

[0006] This invention is achieved through the following technical solution:

[0007] A method for operation and control of a pump station system based on a full-flow system includes the following steps:

[0008] Step 1: Establish a three-dimensional geometric model of the pump station's full flow system. The full flow system includes an inlet pool, an inlet channel, a centrifugal pump, fixed guide vanes, a volute, an outlet channel, and an outlet pool connected to the outlet channel.

[0009] Step 2: Mesh the computational area of ​​the 3D model of the pump station, dividing the computational area into multiple flow components, including the inlet pool, inlet channel, impeller, fixed guide vane, volute, outlet channel, and outlet pool.

[0010] Step 3, set the boundary conditions to ignore the free surface, and use... The turbulence model was used to numerically simulate the flow characteristics in the inlet pool and pumps under multi-pump combination conditions to obtain the optimal start-up scheme for the pump station system.

[0011] Given a fixed total water intake for the pumping station, a function model is established with the goal of minimizing the total input power of the pumping station, taking into account the external characteristic curves of the pumping units. Under the constraints of flow rate and head, the optimal flow allocation scheme for different unit combinations is obtained through conventional numerical solutions and optimization methods using the MATLAB genetic algorithm toolbox.

[0012] Step 4: Based on the comparison between the optimal start-up scheme of the pump station system and the optimal flow distribution scheme when different unit combinations are running, the optimal start-up combination scheme is obtained.

[0013] Preferably, in step 2, a hexahedral structured mesh is used to divide the computational region of the three-dimensional model of the pump station.

[0014] Preferably, the mass of the hexahedral structured mesh is greater than or equal to 0.2, and the angle is greater than or equal to 18°.

[0015] Preferably, in step 3, numerical simulation is performed using the uniformity of axial flow velocity at the pump inlet section, the average deflection angle, and the hydraulic loss from the inlet pool to the outlet of the inlet channel as evaluation indicators.

[0016] Preferably, in step 3, the boundary conditions are as follows: the computational domain for the impeller flow field is set to rotating, with a given rotational speed; the remaining computational domains are set to stationary; the interfaces between the dynamic and static components (i.e., between the inlet channel and the impeller, and between the impeller and the fixed guide vanes) are connected using a rotating interface, designated as "Forzen Rotor"; and the interfaces between the remaining components are connected using interfaces to transfer flow parameters between different computational domains; the wall boundaries are all set to be no-slip and no-friction; the convergence criterion is the average RMS, with a residual of 1.0 × 10⁻⁶. -4 As the basis for convergence of iterative calculations.

[0017] Preferably, in step 3, the specific process of numerical simulation is as follows:

[0018] First, numerical simulations were performed under single-pump operation conditions to obtain the flow field distribution, vorticity, and impeller vortex structure in the inlet channel under the redesigned single-pump operation conditions. The optimal single-pump operating unit was obtained by comparison.

[0019] Numerical simulations of multi-pump combined operation were then conducted, simulating the operation of two units in parallel, three units in parallel, and four units in parallel under design conditions, to obtain the axial velocity uniformity of each combined section. Mean deflection angle And hydraulic losses in the section from the inlet pool to the outlet of the inlet channel.

[0020] Preferably, in step 3, the uniformity of axial flow velocity across the cross-section is considered. The closer the value is to 1, the higher the average deflection angle. The closer the value is to 0° and the smaller the hydraulic loss in the section from the inlet pool to the outlet of the inlet channel, the better the optimal combination scheme of the optimal unit is evaluated.

[0021] A pump station system operation and control system based on a full-flow system includes a 3D model building module, a mesh generation module, a numerical simulation module, a data processing module, and a data analysis module. The 3D model building module is used to build a 3D geometric model of the pump station's full-flow system; the mesh generation module is used to mesh the computational domain of the pump station's 3D model; the numerical simulation module is used to employ... The turbulence model numerically simulates the flow in the intake pool and within the pumps under multi-pump combination conditions to obtain the optimal start-up scheme for the pumping station system. The data processing and optimization module is used to establish a function model with the objective of minimizing the total input power of the pumping station, based on the external characteristic curves of the pump units, given a fixed total water intake volume. Under the constraints of flow rate and head, the optimal flow allocation scheme is obtained through conventional numerical methods and the MATLAB genetic algorithm toolbox. The data analysis module is used to derive the optimal start-up combination scheme by comparing the optimal start-up scheme of the pumping station system with the optimal flow allocation schemes under different unit combinations.

[0022] An electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the pump station system operation control method based on a full-flow system.

[0023] A storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the pump station system operation control method based on a full-flow system.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] This invention relates to a pump station system operation and control method based on a full-flow system. This method improves pump station operating efficiency and reduces operating costs by numerically simulating the entire flow system (inlet device + pump device + outlet device). Specifically, a three-dimensional geometric model of the pump station is first established, then a computational mesh is generated, and finally, based on the control equations... Turbulence model and boundary conditions were used to numerically simulate the simultaneous operation of different numbers of units. The axial velocity uniformity at the pump inlet section, the average deflection angle, and the hydraulic loss from the inlet pool to the outlet of the inlet channel were used as evaluation indicators to preliminarily determine the optimal start-up combination scheme to ensure the best unit performance.

[0026] The pumping station has multiple pump units operating in parallel. Excluding standby units, the total water intake of the pumping station is determined by the sum of the operating flow rates of all operating units. To minimize the overall input power of the pumping station under a given water intake, the question arises of how to distribute the flow rate among the operating units to achieve this minimum. Therefore, based on the initially determined optimal operating combination scheme of the pumping station, and combined with the characteristic curves of the pump units, a mathematical model for flow distribution was established with the goal of minimizing the pumping station's input power while satisfying head and flow constraints. Conventional numerical solutions (i.e., permutations and combinations) and genetic algorithms were used to optimize the flow distribution for different numbers of units. Subsequently, through the optimized combination of units within the station, the optimal control scheme for the pumping station system was determined under the premise of a fixed total water intake, enabling the pumping station to achieve economical operation and maximize economic and social benefits. Attached Figure Description

[0027] Figure 1 This is a flowchart of the pump station system operation and control method based on the full flow system of the present invention;

[0028] Figure 2 This is the result of flow allocation based on the MATLAB Genetic Algorithm Toolbox when there are six units in the example;

[0029] Figure 3 This is the flow allocation result obtained based on the MATLAB Genetic Algorithm Toolbox when there are five units in the embodiment;

[0030] Figure 4 This is the result of flow allocation based on the MATLAB Genetic Algorithm Toolbox when there are four units in the embodiment;

[0031] Figure 5 This is the result of the flow allocation obtained based on the MATLAB Genetic Algorithm Toolbox when there are three units in the embodiment. Detailed Implementation

[0032] The present invention will be further described in detail below with reference to specific embodiments. These descriptions are for explanation purposes only and are not intended to limit the scope of the invention.

[0033] This invention discloses a method for operation and control of a pumping station system based on a full-flow system, referring to... Figure 1 This includes the following steps:

[0034] Step 1: Establish a three-dimensional geometric model of the pump station's full flow system. The full flow system includes an inlet pool, an inlet channel, a centrifugal pump, fixed guide vanes, a volute, an outlet channel, and an outlet pool connected to the outlet channel.

[0035] Step 2: Select a hexahedral structured mesh to divide the computational region of the 3D model of the pump station into multiple flow components, including the inlet pool, inlet channel, impeller, fixed guide vane, volute, outlet channel, and outlet pool; wherein the mass of the hexahedral structured mesh is greater than or equal to 0.2 and the angle is greater than or equal to 18°.

[0036] Step 3: Based on CFX, for the pump unit operating under design conditions, the optimal combination of multiple pumps is analyzed using the axial velocity uniformity at the pump inlet section, the average deflection angle, and the hydraulic loss from the inlet pool to the outlet of the inlet channel as evaluation indicators. The boundary conditions are set to ignore the free liquid surface. The turbulence model uses the uniformity of axial flow velocity at the pump inlet section, the average deflection angle, and the hydraulic loss from the inlet pool to the outlet of the inlet channel as evaluation indicators to numerically simulate the flow characteristics in the inlet pool and pumps under multi-pump combination conditions, and obtains the optimal start-up scheme for the pump station system.

[0037] The boundary conditions are as follows: the computational domain for the impeller flow field is set to rotating, with a given rotational speed; the remaining computational domains are set to stationary. The interfaces between the dynamic and static components (i.e., between the inlet channel and the impeller, and between the impeller and the fixed guide vanes) are connected using a rotating interface, designated as "Forzen Rotor." Interfaces between other components are connected using interfaces to transfer flow parameters between different computational domains. All wall boundaries are set to be no-slip and no-friction. The convergence criterion is the average RMS, with a residual of 1.0 × 10⁻⁶. -4 As the basis for convergence of iterative calculations.

[0038] The specific process of numerical simulation is as follows:

[0039] First, numerical simulations were performed under single-pump operation conditions to obtain the flow field distribution, vorticity, and impeller vortex structure in the inlet channel under the redesigned single-pump operation conditions. The optimal single-pump operating unit was obtained by comparison.

[0040] Numerical simulations of multi-pump combined operation were then conducted, simulating the operation of two units in parallel, three units in parallel, and four units in parallel under design conditions, to obtain the axial velocity uniformity of each combined section. Mean deflection angle And the hydraulic losses in the section from the inlet pool to the outlet of the inlet channel. And the uniformity of axial flow velocity across the cross-section. The closer the value is to 1, the higher the average deflection angle. The closer the value is to 0° and the smaller the hydraulic loss in the section from the inlet pool to the outlet of the inlet channel, the better the optimal combination scheme of the optimal unit is evaluated.

[0041] Given a fixed total water intake for the pumping station, a function model is established with the goal of minimizing the total input power of the pumping station, taking into account the external characteristic curves of the pumping units. Under the constraints of flow rate and head, the optimal flow allocation scheme for different unit combinations is obtained through conventional numerical solutions and optimization methods using the MATLAB genetic algorithm toolbox.

[0042] The expression for the function model established with the objective of minimizing the total input power of the pumping station is as follows:

[0043]

[0044] In the formula: P This represents the total input power of the pumping station, in MW.

[0045] n Indicates the number of machines powered on;

[0046] P i Indicates the first i The input power of the operating unit, in MW.

[0047] The constraint function expression for the constraint condition is:

[0048]

[0049]

[0050] In the formula, Q This indicates the total water diversion volume of the pumping station, in meters (m). 3 / s;

[0051] Q i Indicates the first i The operating flow rate of the unit is m 3 / s;

[0052] H min , H max These represent the minimum and maximum head of the pump unit, respectively, in meters (m).

[0053] Hi represents the operating head of the i-th operating unit, m.

[0054] By using conventional numerical methods (i.e. permutation and combination methods) and optimization methods from the MATLAB genetic algorithm toolbox, the optimal flow allocation schemes for three units operating in parallel, four units operating in parallel, five units operating in parallel, and six units operating in parallel under certain water diversion conditions were obtained.

[0055] Step 4: Based on the comparison between the optimal start-up scheme of the pump station system and the optimal flow distribution scheme when different unit combinations are running, the optimal start-up combination scheme is obtained.

[0056] This invention provides a design method for a pump station system operation and control scheme, aiming to reduce pump station operating costs and improve pump station operating efficiency. It analyzes the internal flow characteristics of the water pump through numerical simulation to obtain the optimal start-up combination scheme. Furthermore, based on the external characteristic curve of the water pump, it optimizes the flow distribution of the pump station under the premise of a fixed total water intake.

[0057] Taking a certain pumping station as an example, a total of 7 vertical single-stage, single-suction centrifugal pumps are installed, with a single pump operating flow rate of 11.38 m³ / s. 3 / s—13.63 m 3 / s, the working flow rate and input power of the water pump unit are shown in Table 1.

[0058] Table 1 Operating flow rate of water pump unit

[0059]

[0060] Table 2 Flow Allocation Results

[0061]

[0062] With a total water diversion volume of 70 m³, the pumping station 3 / s、60 m 3 / s, 50 m 3 / s and 40 m 3 Using the objective function of minimizing input power for these four scenarios, and constraints such as the total water intake of the pumping station and the operating head of the pump units, the optimal allocation of the number of pumps required to operate and the flow rate within the station is determined under the premise of a fixed water intake. Table 2 shows the flow rate allocation results obtained using conventional numerical solutions (i.e., permutations and combinations). Figure 2-5 The result is based on the flow allocation obtained from the MATLAB Genetic Algorithm Toolbox.

[0063] In the optimization results based on the MATLAB Genetic Algorithm Toolbox, blue dots represent the distribution of average fitness values, and red dots represent the distribution of optimal fitness values. It can be observed that as the number of iterations increases, the results gradually approach the optimal solution. With a total water diversion of 40 m³... 3At a speed of / s, the minimum input power is 43.6561 MW; the total water diversion is 50 m³ / s. 3 At a flow rate of / s, the minimum input power is 57.0771 MW; the total water diversion volume is 60 m³ / s. 3 At a flow rate of 70 m³ / s, the minimum input power is 70.5458 MW; the total water diversion volume is 70 m³ / s. 3 At a speed of / s, the minimum input power is 84.0097 MW. Comparing the results with those of conventional numerical solutions, it can be seen that the minimum input power values ​​are similar and the optimal individual values ​​are the same. The main reason for the difference is the different number of significant bits retained.

[0064] The final pump station system control scheme is determined based on the finalized optimal start-up combination scheme and optimal flow distribution scheme. Specifically, based on the determined optimal start-up combination scheme, for example, when the total water diversion demand of the pump station is 50 m³, the final control scheme is determined. 3 / s, four units must be started. The uniformity of the start-up combination of units 1, 3, 4, and 5 must be determined according to step three. The closer the value is to 1, the higher the average deflection angle. The closer the value is to 0°, the less hydraulic loss occurs in the section from the inlet pool to the outlet of the inlet channel; based on step four, the optimal flow distribution is determined: 11.5 m³ for both units. 3 / s, the remaining two are 13.5 m 3 If the flow rate is / s, then the optimal startup plan is to have two of units 1, 3, 4, and 5 with a flow rate of 11.5 m³ / s. 3 / s, the remaining two are 13.5 m 3 / s, thereby enabling each operating unit to exert its maximum advantage, maximizing the efficiency of the pumping station while minimizing energy consumption, and achieving optimal pumping station efficiency.

[0065] This invention also discloses a pump station system operation and control system based on a full-flow system, including a 3D model building module, a mesh generation module, a numerical simulation module, a data processing module, and a data analysis module. The 3D model building module is used to build a 3D geometric model of the full-flow system of the pump station; the mesh generation module is used to divide the computational domain of the 3D model of the pump station into a mesh; the numerical simulation module is used to employ... The turbulence model numerically simulates the flow in the intake pool and within the pumps under multi-pump combination conditions to obtain the optimal start-up scheme for the pumping station system. The data processing and optimization module is used to establish a function model with the objective of minimizing the total input power of the pumping station, based on the external characteristic curves of the pump units, given a fixed total water intake volume. Under the constraints of flow rate and head, the optimal flow allocation scheme is obtained through conventional numerical methods and the MATLAB genetic algorithm toolbox. The data analysis module is used to derive the optimal start-up combination scheme by comparing the optimal start-up scheme of the pumping station system with the optimal flow allocation schemes under different unit combinations.

[0066] The present invention also discloses an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the pump station system operation control method based on the full flow system.

[0067] The present invention also discloses a storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the pump station system operation control method based on the full flow system.

[0068] The above description is merely a preferred embodiment of the present invention and is not intended to limit the technical solution of the present invention in any way. Those skilled in the art should understand that, without departing from the spirit and principles of the present invention, the technical solution can be modified and replaced in several simple ways, and these modifications and replacements are all within the scope of protection covered by the claims.

Claims

1. A method for operation and control of a pump station system based on a full-flow system, characterized in that, Includes the following steps: Step 1: Establish a three-dimensional geometric model of the pump station's full flow system. The full flow system includes an inlet pool, an inlet channel, a centrifugal pump, fixed guide vanes, a volute, an outlet channel, and an outlet pool connected to the outlet channel. Step 2: Mesh the computational area of ​​the 3D model of the pump station, dividing the computational area into multiple flow components, including the inlet pool, inlet channel, impeller, fixed guide vane, volute, outlet channel, and outlet pool. Step 3, set the boundary conditions to ignore the free surface, and use... The turbulence model was used to numerically simulate the flow characteristics in the inlet pool and pumps under multi-pump combination conditions to obtain the optimal start-up scheme for the pump station system. Given a fixed total water intake for the pumping station, a function model is established with the goal of minimizing the total input power of the pumping station, taking into account the external characteristic curves of the pumping units. Under the constraints of flow rate and head, the optimal flow allocation scheme for different unit combinations is obtained through conventional numerical solutions and optimization methods using the MATLAB genetic algorithm toolbox. The specific process of numerical simulation is as follows: First, numerical simulations were performed under single-pump operation conditions to obtain the flow field distribution, vorticity, and impeller vortex structure in the inlet channel under the redesigned single-pump operation conditions. The optimal single-pump operating unit was obtained by comparison. Numerical simulations of multi-pump combined operation were then conducted, simulating the operation of two units in parallel, three units in parallel, and four units in parallel under design conditions, to obtain the axial velocity uniformity of each combined section. Mean deflection angle And hydraulic losses in the section from the inlet pool to the outlet of the inlet channel; Step 4: Based on the comparison between the optimal start-up scheme of the pump station system and the optimal flow distribution scheme when different unit combinations are running, the optimal start-up combination scheme is obtained.

2. The pump station system operation control method based on a full-flow system according to claim 1, characterized in that, In step 2, a hexahedral structured mesh is used to divide the computational domain of the three-dimensional model of the pump station.

3. The pump station system operation control method based on a full-flow system according to claim 2, characterized in that, The mass of the hexahedral structured mesh is greater than or equal to 0.2, and the angle is greater than or equal to 18°.

4. The pump station system operation control method based on a full-flow system according to claim 1, characterized in that, In step 3, numerical simulation is performed using the axial velocity uniformity, average deflection angle, and hydraulic loss from the inlet pool to the outlet of the inlet channel as evaluation indicators.

5. The pump station system operation control method based on a full-flow system according to claim 4, characterized in that, In step 3, the boundary conditions are as follows: the computational domain of the turbine flow field is set to rotation with a given rotational speed; the remaining computational domains are set to stationary domains; the dynamic-static interface is connected by a rotating interface, designated as "Forzen Rotor"; and the interfaces of other components are connected by interfaces to transfer flow parameters between different computational domains; the wall boundaries are all set to no slip and no friction; the convergence criterion is the average RMS, with a residual of 1.0 × 10⁻⁶. -4 As the basis for convergence of iterative calculations.

6. The pump station system operation control method based on a full-flow system according to claim 4, characterized in that, In step 3, the uniformity of axial flow velocity in the cross-section is considered. The closer the value is to 1, the higher the average deflection angle. The closer the value is to 0° and the smaller the hydraulic loss in the section from the inlet pool to the outlet of the inlet channel, the better the optimal combination scheme of the optimal unit is evaluated.

7. A pump station system operation control system based on a full-flow system for implementing the pump station system operation control method based on any one of claims 1 to 6, characterized in that, The system includes modules for 3D model creation, mesh generation, numerical simulation, data processing, and data analysis. The 3D model creation module is used to create a 3D geometric model of the entire flow system of the pumping station; the mesh generation module is used to mesh the computational domain of the 3D model of the pumping station; and the numerical simulation module is used to... The turbulence model numerically simulates the flow in the intake pool and within the pumps under multi-pump combination conditions to obtain the optimal start-up scheme for the pumping station system. The data processing and optimization module is used to establish a function model with the objective of minimizing the total input power of the pumping station, based on the external characteristic curves of the pump units, given a fixed total water intake volume. Under the constraints of flow rate and head, the optimal flow allocation scheme is obtained through conventional numerical methods and the MATLAB genetic algorithm toolbox. The data analysis module is used to derive the optimal start-up combination scheme by comparing the optimal start-up scheme of the pumping station system with the optimal flow allocation schemes under different unit combinations.

8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the pump station system operation control method based on the full flow system as described in any one of claims 1 to 6.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the pump station system operation control method based on the full flow system as described in any one of claims 1 to 6.

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