Method for predicting water energy characteristics of a hydropower station and terminal device
By obtaining the head loss coefficient and turbine operating characteristic curve of the hydropower station's water conveyance system, and combining iterative calculation methods, the problem of inaccurate output coefficient values in hydropower station calculations was solved. This enabled accurate prediction of the hydropower characteristics after the hydropower station's renovation, improving the feasibility and economic benefits of the renovation.
Patent Information
- Application Number
- CN202211084914.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-06
- Publication Date
- 2025-12-09
- Estimated Expiration
- 2042-09-06
AI Technical Summary
In existing technologies, the output coefficient in hydropower calculations for hydropower stations is usually taken as a constant or empirical curve, which leads to inaccurate calculation results.
By obtaining the head loss coefficient of the water conveyance system for each unit of the hydropower station, and combining the turbine operating characteristic curves and hydrological data, an iterative calculation method is used to accurately calculate the net head, flow rate and efficiency of the turbine, thereby predicting the hydropower characteristics of the hydropower station.
It enables accurate prediction of the hydropower characteristics after the hydropower station is upgraded, improves the calculation accuracy, and guides the feasibility and economic benefit analysis of the unit upgrade.
Smart Images

Figure CN115375034B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of water energy calculation of hydropower stations, and particularly relates to a method for predicting water energy characteristics of a hydropower station and a terminal device. BACKGROUND
[0002] Early hydropower units in China were limited by the design level, material processing, manufacturing process and installation quality at that time, and the runner type of the water turbine was generally not matched, the efficiency was low, the operation area was narrow (the regulation capacity was insufficient), and the overall stability of the unit was poor, which seriously affected the power generation benefit and operation safety of the hydropower station. Therefore, in recent years, the early hydropower units have been modified.
[0003] In recent years, with the development of technologies such as computational fluid dynamics (CFD), finite element calculation, model testing and real machine testing, the water turbine design, material and processing technology in China have made great progress, and the energy, efficiency and stability indexes of the water turbine designed under the same conditions have been greatly improved compared with 20 years ago. In order to guide the upgrading and modification of old hydropower units, it is necessary to predict the expected hydraulic and energy characteristics of the old hydropower units after modification according to the existing water turbine indexes such as output and efficiency, analyze the feasibility and economic benefit of unit modification, guide the development of unit modification work, and improve the comprehensive benefit of the hydropower unit.
[0004] At present, the method of power station comprehensive output coefficient K is used for water energy calculation of a hydropower station, the influence of the efficiency of the water turbine and the hydraulic loss of the flow passage on the output of the water turbine is put into the output coefficient K value, and the output coefficient under different water heads and flow rates is determined according to an experience curve, so as to calculate the hydraulic and output characteristics of the hydropower station. This method has the advantage of simple calculation, but the output coefficient is generally a fixed value or is determined according to an experience curve, resulting in inaccurate calculation results of the water energy of the hydropower station. SUMMARY
[0005] The application provides a method for predicting water energy characteristics of a hydropower station and a terminal device, which solves the technical problem that the output coefficient is generally a fixed value or is determined according to an experience curve in the prior art, resulting in inaccurate calculation results of the water energy of the hydropower station.
[0006] A first aspect of the present application discloses a method for predicting water energy characteristics of a hydropower station, comprising:
[0007] Step 1, obtaining a water head loss coefficient of a water delivery system corresponding to each unit in the hydropower station;
[0008] Step 2, determining the relationship between the water head and the maximum flow rate of each water turbine according to the operation characteristic curve of the water turbine of each unit.
[0009] Step 3, according to the relationship between the water head of each said water turbine and its maximum flow, the water head loss coefficient and the water regime data of the hydropower station in the study time, iteratively calculate the net water head and flow of each water turbine in each time period within the study time;
[0010] Step 4, according to the net water head and flow of each water turbine, determine the expected power of the hydropower station in the study time.
[0011] Preferably, the step 3 specifically comprises:
[0012] Step 31, obtain the water regime data of the hydropower station in the study time in hourly time periods, and determine the gross water head of each said water turbine in each time period according to the water regime data of the hourly time periods, and set the gross water head as the initial value of the water head iteration;
[0013] Step 32, according to the relationship between the water head of each said water turbine and its maximum flow, determine the maximum flow of each said water turbine at the first water head obtained by interpolation;
[0014] Step 33, according to the maximum flow and the water head loss coefficient, calculate the net water head of each said water turbine; determine whether the net water head and the first water head meet the preset condition, if yes, record the net water head as the first water head, repeat steps 32 and 33, if not, the net water head is the net water head of the said water turbine, and the flow corresponding to the net water head is the flow of the said water turbine.
[0015] Preferably, the step 33 specifically comprises:
[0016] Step 331, according to the maximum flow and the reservoir outflow, determine the flow of each said water turbine;
[0017] Step 332, according to the flow of each said water turbine and the water head loss coefficient, determine the net water head of each said water turbine;
[0018] Step 333, determine whether the net water head and the first water head meet the preset condition, if yes, record the net water head as the first water head, repeat steps 32 and 33, if not, the net water head is the net water head of the said water turbine, and the flow corresponding to the net water head is the flow of the said water turbine.
[0019] Preferably, the step 332 specifically comprises:
[0020] According to the first formula to determine the net water head of each said water turbine, the first formula is:
[0021] H = H g -αt Q 2
[0022] wherein H is the net water head, H g is the initial value of the water head iteration, a t is the local water head loss coefficient, and Q is the flow rate of the water turbine.
[0023] Preferably, the preset condition is as the second formula, the second formula is:
[0024]
[0025] wherein H is the net water head, H (k) is the first water head, and ε is the iteration error.
[0026] Preferably, the step 4 specifically comprises:
[0027] Step 41, determining the efficiency of each water turbine according to the net water head and the flow rate of each water turbine;
[0028] Step 42, determining the output of the water turbine in each of the time periods according to the net water head, the flow rate and the efficiency;
[0029] Step 43, determining the output of the hydropower station in each of the time periods according to the output of the water turbine;
[0030] Step 44, determining the expected electricity amount of the hydropower station in the research time according to the output of the hydropower station in each of the time periods.
[0031] Preferably, the step 41 specifically comprises:
[0032] Step 411, determining the flow rate sequence and the efficiency sequence corresponding to the net water head of the water turbine;
[0033] Step 412, determining the efficiency of each water turbine according to the position of the flow rate of the water turbine in the flow rate sequence and the efficiency sequence.
[0034] Preferably, the step 411 specifically comprises:
[0035] determining the flow rate sequence corresponding to the net water head of the water turbine according to the third formula, the third formula is:
[0036]
[0037] wherein Q h,i is the flow rate of the water turbine at the i-th guide vane equal opening line, Q i,k is the flow rate corresponding to the k-th water head at the i-th guide vane equal opening line, and Q i,k+1Let H be the flow rate corresponding to the (k+1)th head on the equal opening line of the i-th guide vane, and let H be the net head of the turbine. k and H k+1 For two adjacent heads determined based on the operating characteristic curve of the turbine, H is located at H k and the H k+1 between;
[0038] The efficiency series corresponding to the net head of the water turbine is determined according to the fourth formula, which is:
[0039]
[0040] In the formula, η h,i Let η be the efficiency of the turbine's net head on the i-th guide vane constant opening line. i,k Let η be the efficiency corresponding to the k-th head on the equal opening line of the i-th guide vane. i,k+1 Let H be the efficiency corresponding to the (k+1)th head on the equal opening line of the i-th guide vane, and let H be the net head of the turbine. k and H k+1 For two adjacent heads determined based on the operating characteristic curve of the turbine, H is located at H k and the H k+1 between.
[0041] Preferably, step 412 specifically includes:
[0042] The efficiency of each turbine is determined according to the fifth formula, which is:
[0043]
[0044] In the formula, η is the efficiency of the water turbine, Q is the flow rate of the water turbine, and Q0 is the flow rate of the water turbine. h,i and Q h,i+1 For two adjacent flows in the flow sequence, Q is located in Q. h,i and the Q h,i+1 Between, η h,i Let η be the efficiency of the turbine's net head along the i-th guide vane's constant opening line. h,i+1 Let be the efficiency of the turbine's head at the (i+1)th guide vane equal opening line.
[0045] A second aspect of this invention discloses a terminal device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.
[0046] Compared with the prior art, the present invention has the following advantages:
[0047] The present application calculates the hydraulic loss coefficient of the water delivery system of each unit according to the design of the water delivery system of the hydropower station in the water energy prediction calculation of the hydropower station. According to the upstream and downstream water levels and the reservoir discharge flow in the water regime information, the water turbine operating characteristic curve and the hydraulic loss coefficient of the water delivery system are used to accurately calculate the water turbine working head, flow, water turbine efficiency and water turbine output of each time period by using the iterative solution method, so that the water energy characteristics of the entire hydropower station after unit modification can be accurately predicted. BRIEF DESCRIPTION OF DRAWINGS
[0048] Figure 1 The flow chart of the water energy characteristic prediction method of the hydropower station of the embodiment of the present application;
[0049] Figure 2 The water turbine operating characteristic curve diagram of the embodiment of the present application;
[0050] Figure 3 The detailed flow chart of step 3 of the embodiment of the present application. DETAILED DESCRIPTION
[0051] The technical solutions of the present application will be further described in detail below in combination with the drawings and specific implementation cases. It should be understood that the following embodiments are only exemplary to illustrate and explain the present application, and should not be interpreted as limiting the scope of protection of the present application. Any technology realized based on the above content of the present application is covered within the scope intended to be protected by the present application.
[0052] The feasibility and economic analysis of the hydropower unit modification need to accurately calculate the hydraulic and output characteristics of the hydropower station after the unit modification, including the water turbine working head and the water turbine output, and then evaluate the economic benefits of the hydropower station after the modification. According to the water turbine output formula N = 9.81QHη, in which N is the unit output, MW; η is the water turbine efficiency, %; Q is the unit power generation flow, m 3 / s; H is the water turbine working head, m. For the built hydropower station, the water regime information mainly includes the reservoir discharge flow, the reservoir upstream and downstream water levels, to predict the hydraulic and output conditions of the hydropower unit after the modification, the working head of the unit and the unit output need to be calculated according to the water regime information, so as to calculate the power generation capacity of the entire power station. The currently mainly used method is the simple model of water energy calculation, which simplifies the water turbine output formula as N = KQH, in which K is defined as the comprehensive output coefficient of the power station K = 9.81η, and K is generally taken as a fixed value or is taken as a value according to the experience curve in the calculation. The calculation method is relatively rough, and the differences of the water turbine efficiency and the hydraulic loss in the flow passage under different working conditions are not considered, resulting in that the water energy result of the hydropower station calculated is not accurate.
[0053] The application provides a more accurate method for predicting energy characteristics of a hydropower station, and the method is characterized in that: the method comprises the following steps: step 1, obtaining water head loss coefficients of water delivery systems corresponding to each unit in the hydropower station; step 2, determining the relationship between the water head and the maximum flow of each water turbine according to the operation characteristic curve of the water turbine of each unit; and step 3, obtaining the accurate water head and output of the water turbine by interpolating calculation according to the water regime information data and the water head loss coefficient calculation of the water delivery system, so as to predict the water energy characteristics of the entire hydropower station after unit reconstruction.
[0054] Specifically, the first aspect of the present disclosure discloses a method for predicting water energy characteristics of a hydropower station, as shown in the formula (1), comprising the following steps: Figure 1
[0055] Step 1, obtaining water head loss coefficients of water delivery systems corresponding to each unit in the hydropower station.
[0056] The water head loss coefficient of the water delivery system of the hydropower station mainly includes the along-path water head loss and the local water head loss. The along-path water head loss coefficient α f can be calculated according to the formula (1).
[0057]
[0058] In the formula, n is the roughness of the water delivery system, 0.013 is taken for the concrete lining, and 0.012 is taken for the steel lining; L is the length of the water delivery system, which can be obtained according to the design drawing of the hydropower station; R is the hydraulic radius of the cross section of the water delivery system, which can be obtained according to the design drawing of the hydropower station; and A is the area of the cross section of the water delivery system, which can be obtained according to the design drawing of the hydropower station.
[0059] The local water head loss of the hydropower station is mainly the water head loss of the inlet and outlet and the bifurcated pipe, and the coefficient ξ under different inlet and outlet body types and bifurcated pipe types can be obtained according to the Design Specification for Surge Chambers of Hydropower Stations (NB / T 35021-2014), and the local water head loss coefficient α m can be calculated according to the formula (2).
[0060]
[0061] In the formula, g is the acceleration of gravity, taken as 9.81, and A is the area of the cross section of the water delivery system, which can be obtained according to the design drawing of the hydropower station.
[0062] The total water head loss coefficient α t of the water delivery system of each unit is calculated by adding the along-path loss coefficient and the local loss coefficient of the water delivery system corresponding to each unit. f m
[0063] Step 2, determining the relationship between the water head and the maximum flow of each water turbine according to the operation characteristic curve of the water turbine of each unit.
[0064] The operation characteristic curve of the water turbine is as shown in the formula (3). Figure 2 As shown, along different guide vane equal opening lines, the turbine head, turbine flow rate, and turbine efficiency are obtained. If the turbine head value points on each guide vane equal opening line are consistent, then the turbine flow rate matrix and turbine efficiency matrix are constructed.
[0065] Assume there are n guide vane equal opening lines on the turbine's operating characteristic curve, and the guide vane opening on each equal opening line is {Y1, Y2, ..., Y...} n}, obtain m turbine heads H, and get {H1,H2,…,H} m}, then the constructed turbine flow matrix Q is as shown in formula (3), and the turbine efficiency parameter matrix η is as shown in formula (4):
[0066]
[0067]
[0068] Q in equation (3) ij The flow rate of the turbine at the i-th guide vane equal opening line and the j-th head is represented by η in equation (4). ij This represents the efficiency of the turbine at the i-th guide vane equal opening line and the j-th head.
[0069] By inputting the flow rate matrix and efficiency matrix into the preset active power conversion model of the turbine, the active power matrix of the turbine can be obtained. The active power conversion model of the turbine is shown in formula (5):
[0070] N ij =9.81H i Q ij η ij (5)
[0071] The resulting active power matrix N of the water turbine ij This can be expressed in the form of formula (6):
[0072]
[0073] In equation (6), N ij Let be the active power of the turbine at the i-th guide vane equal opening line and the j-th head.
[0074] Step 3: Based on the relationship between the head and maximum flow rate of each turbine, the head loss coefficient, and the hydrological data of the hydropower station during the study period, iteratively calculate the net head and flow rate of each turbine for each time period during the study period. The flowchart is as follows: Figure 3 As shown, it specifically includes:
[0075] Step 31, obtain the water regime data of the hydropower station in each hour period in the research time, and determine the gross water head of each water turbine in each period according to the water regime data in each hour period, and set the gross water head as the initial value of the water head iteration.
[0076] The water regime data in the application includes a period t, an upstream water level Z Up , a downstream water level Z Down and a discharge flow Q out of the reservoir.
[0077] The gross water head H g of the water turbine in the period t is: H g = Z Up -Z Down .
[0078] The initial value H (0) of the water head iteration is H g , that is, H (0) = H g .
[0079] Step 32, determine the maximum flow of each water turbine at the first water head obtained by interpolation according to the relationship between the water head and the maximum flow of each water turbine.
[0080] The maximum flow of the water turbine at H (k) under the first water head is obtained by interpolation according to the relationship between the water head {H1, H2,..., H m} and the maximum flow {Q n,1 , Q n,2 ,..., Q n,m} in formula (3).
[0081] Step 33, calculate the net water head of each water turbine according to the maximum flow and the water head loss coefficient; judge whether the net water head and the first water head meet the preset condition, if yes, record the net water head as the first water head, and repeat steps 32 and 33, if not, the net water head is the net water head of the water turbine, and the flow corresponding to the net water head is the flow of the water turbine, and the specific steps include:
[0082] Step 331, determine the flow of each water turbine according to the maximum flow and the discharge flow of the reservoir.
[0083] Calculate and take the upper integer to obtain the preliminary calculation value n1 of the number of units, if n1 is greater than or equal to the total installed capacity of the power station, take n1 as equal to the total installed capacity.
[0084] According to n1 and the discharge flow Q out of the reservoir, the unit flow Q of the water turbine is calculated as:
[0085] Step 332, determining the net water head of each water turbine according to the flow and the water head loss coefficient of each water turbine, specifically comprising:
[0086] The net water head of each water turbine is determined according to formula (7):
[0087] H = H g - α t Q 2 (7)
[0088] In the formula, H is the net water head, H g is the initial value of the water head iteration, α t is the water head loss coefficient, and Q is the flow of the water turbine.
[0089] Step 333, judging whether the net water head and the first water head meet a preset condition, if yes, recording the net water head as the first water head (assuming H (k+1) = H), repeating step 32 and step 33, and repeatedly iterating and trial calculating until the accuracy requirement is met, and if no, the net water head is the net water head of the water turbine, and the flow corresponding to the net water head is the flow of the water turbine.
[0090] The preset condition is formula (8):
[0091]
[0092] In the formula, H is the net water head, H (k) is the first water head, and ε is the iteration error, which can be set to 0.01.
[0093] Step 4, determining the expected power of the hydropower station in the research time according to the net water head and the flow of each water turbine, specifically comprising:
[0094] Step 41, determining the efficiency of each water turbine by linear interpolation using formula (3) and formula (4) according to the net water head and the flow of each water turbine, specifically comprising:
[0095] Step 411, determining the flow series and the efficiency series corresponding to the net water head of the water turbine, specifically comprising:
[0096] Judging the position of the net water head H of the water turbine in {H1, H2, …, H m}, if between H k and H k+1 , calculating the flow series {Q h,1 , Q h,2 , …, Q h,n} corresponding to the current water head H according to formula (9) and the water turbine efficiency series {η h,1 , η h,2 , …, η h,n} corresponding to the current water head H according to formula (10):
[0097]
[0098] wherein Q h,i is the flow rate of the net head of the water turbine on the i-th guide vane equal opening line, Q i,k is the flow rate corresponding to the k-th head on the i-th guide vane equal opening line, Q i,k+1 is the flow rate corresponding to the k+1-th head on the i-th guide vane equal opening line, H is the net head of the water turbine, H k and H k+1 are two adjacent heads determined according to the operation characteristic curve of the water turbine, H is located between H k and H k+1 .
[0099] The efficiency sequence corresponding to the net head of the water turbine is as formula (10):
[0100]
[0101] wherein η h,i is the efficiency of the net head of the water turbine on the i-th guide vane equal opening line, η i,k is the efficiency corresponding to the k-th head on the i-th guide vane equal opening line, η i,k+1 is the efficiency corresponding to the k+1-th head on the i-th guide vane equal opening line, H is the net head of the water turbine, H k and H k+1 are two adjacent heads determined according to the operation characteristic curve of the water turbine, H is located between H k and H k+1 .
[0102] Step 412, determining the efficiency of each water turbine according to the efficiency sequence and the position of the flow rate of the water turbine in the flow rate sequence, specifically comprising:
[0103] judging the position of the flow rate Q of the water turbine in {Q h,1 , Q h,2 , …, Q h,n}, if between Q h,i and Q h,i+1 , calculating the corresponding water turbine efficiency η under the current flow rate Q according to formula (11):
[0104]
[0105] wherein η is the efficiency of the water turbine, Q is the flow rate of the water turbine, Q h,i and Q h,i+1 are two adjacent flow rates in the flow rate sequence, Q is located between Q h,i and Q h,i+1 , η h,iηi is the efficiency of the net water head of the water turbine on the i-th guide vane equal opening line h,i+1 ηi+1 is the efficiency of the net water head of the water turbine on the i+1-th guide vane equal opening line.
[0106] Step 42, according to the net water head, the flow and the efficiency, the output of the water turbine in each time is determined.
[0107] The water turbine working water head H of each unit in each time period is calculated t , the water turbine flow Q t , the water turbine efficiency η t , the water turbine output N of each time period is calculated: t = 9.81H t Q t η t .
[0108] Step 43, according to the output of the water turbine, the output of the hydropower station in each time period is determined.
[0109] According to the number of units n1 in each time period, the total output of the hydropower station can be obtained:
[0110] Step 44, according to the output of the hydropower station in each time period, the expected electricity E of the hydropower station in the research time is determined. T :
[0111]
[0112] The technical problem to be solved by the present application is to accurately predict the water energy characteristics of the hydropower station after the water turbine is modified through the water regime data of the hydropower station and the operation characteristic curve of the water turbine. The steps include: 1) accurately calculating the hydraulic loss coefficient of the water conveying system of each unit according to the design of the water conveying system of the hydropower station; 2) constructing the flow matrix, the efficiency matrix and the output matrix of the water turbine according to the operation characteristic curve of the water turbine; 3) based on the water regime data of the hydropower station in each time period and the operation characteristic curve of the water turbine, the working water head of the water turbine in each time period is iteratively calculated; 4) the accurate water turbine reference flow and the water turbine efficiency in each time period are calculated by interpolation according to the operation characteristic curve of the water turbine; 5) the water turbine output and the expected electricity in each time period are calculated.
[0113] In the water energy prediction and calculation of the hydropower station, the hydraulic loss coefficient of the water conveying system of each unit is accurately calculated according to the design of the water conveying system of the hydropower station. According to the upstream and downstream water levels and the reservoir discharge flow of the water regime information, the working water head, the flow, the water turbine efficiency and the water turbine output of each time period are accurately calculated by using the operation characteristic curve of the water turbine and the hydraulic loss coefficient of the water conveying system by using the iterative solution method, so that the water energy characteristics of the entire hydropower station after the unit modification can be accurately predicted.
[0114] The second aspect of the present disclosure discloses a terminal device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.
[0115] The above merely describes preferred embodiments of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed with the above preferred embodiments, it is not intended to limit the present application. Any person skilled in the art can make many possible changes and modifications to the technical solutions of the present application, or modify equivalent embodiments with equivalent changes, without departing from the scope of the technical solutions of the present application, by using the disclosed technical content. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present application, without departing from the content of the technical solutions of the present application, shall fall within the scope of protection of the technical solutions of the present application.
Claims
1. A method for predicting the hydroelectric characteristics of a hydropower plant, characterized in that, The method comprises the following steps: Step 1, obtaining the water head loss coefficient of the water delivery system corresponding to each unit of the hydropower station; Step 2, determining the relationship between the water head and the maximum flow of each water turbine according to the operating characteristic curve of each water turbine; Step 3, iteratively calculating the net water head and flow of each water turbine in each time period within the research time according to the relationship between the water head and the maximum flow of each water turbine, the water head loss coefficient and the water regime data of the hydropower station within the research time; Step 4, determining the expected power of the hydropower station within the research time according to the net water head and flow of each water turbine, specifically comprising: Step 41, determining the efficiency of each water turbine according to the net water head and flow of each water turbine, specifically comprising: Step 411, determining the flow series corresponding to the net water head of the water turbine and the efficiency series; Step 412, determining the efficiency of each water turbine according to the efficiency series and the position of the flow of the water turbine in the flow series; Step 42, determining the output of the water turbine in each time period according to the net water head, flow and efficiency; Step 43, determining the output of the hydropower station in each time period according to the output of the water turbine; Step 44, determining the expected power of the hydropower station within the research time according to the output of the hydropower station in each time period.
2. The method of claim 1 wherein, The step 3 specifically comprises: Step 31, obtaining the water regime data of the hydropower station in each hourly time period within the research time, and determining the gross water head of each water turbine in each time period according to the water regime data of the hourly time period, and setting the gross water head as the initial value of the water head iteration; Step 32, determining the maximum flow of each water turbine at the first water head obtained by interpolation according to the relationship between the water head and the maximum flow of each water turbine; Step 33, calculating the net water head of each water turbine according to the maximum flow and the water head loss coefficient, and judging whether the net water head and the first water head meet a preset condition, if yes, recording the net water head as the first water head, repeating steps 32 and 33, if no, the net water head is the net water head of the water turbine, and the flow corresponding to the net water head is the flow of the water turbine.
3. The method of claim 2 wherein, The step 33 specifically comprises: Step 331, determining the flow of each water turbine according to the maximum flow and the discharge flow of the reservoir; Step 332, determining the net water head of each water turbine according to the flow of each water turbine and the water head loss coefficient; Step 333, judging whether the net water head and the first water head meet a preset condition, if yes, recording the net water head as the first water head, repeating steps 32 and 33, if no, the net water head is the net water head of the water turbine, and the flow corresponding to the net water head is the flow of the water turbine.
4. The method of claim 3 wherein, The step 332 specifically comprises: determining the net water head of each water turbine according to a first formula, the first formula being: wherein is the net water head, is the initial value of the water head iteration, is the water head loss coefficient, is the flow rate of the water turbine.
5. The method of claim 3 wherein, the preset condition is a second formula, the second formula being: wherein is the net water head, is the first water head, is the iteration error.
6. The method of claim 1 wherein, The step 411 specifically comprises: The third formula is: In the formula, The head of the turbine is at the first... i Flow rate along the opening line of guide vanes, etc. For the first i The first guide vane and other opening lines k The flow rate corresponding to each water head For the first i The first guide vane and other opening lines k +1 head corresponds to the flow rate The clean water head of the turbine. and For two adjacent heads determined based on the operating characteristic curve of the turbine, the Located in the and stated between; The fourth formula is: In the formula, is the net water head of the water turbine at the i-th guide vane opening line, i is the efficiency of the i-th guide vane opening line, is the efficiency of the i-th guide vane opening line, i is the efficiency of the i-th guide vane opening line, k is the efficiency of the i-th guide vane opening line, is the efficiency of the i-th guide vane opening line, i is the efficiency of the i-th guide vane opening line, k is the efficiency of the i-th guide vane opening line, is the net water head of the water turbine, and are two adjacent water heads determined according to the operating characteristic curve of the water turbine, and the is located between the and the .
7. The method of claim 6 wherein, The step 412 is specifically: The fifth formula is: wherein is the efficiency of the water turbine, is the flow of the water turbine, and is the adjacent two flows in the flow series, the is located between the and the , is the efficiency of the net water head of the water turbine on the i th guide vane equal opening line, is the efficiency of the net water head of the water turbine on the i +1th guide vane equal opening line.
8. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the steps of the method in any one of claims 1 to 7.
Citation Information
Patent Citations
Hydropower station dynamic property computer-assisted testing method
CN104298806A
Method and system for calculating generating flow of reservoir hydropower station unit
CN113919718A