CN115689198A - Optimized dispatching method for waterlogging draining pump station in plain polder area - Google Patents
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Abstract
The invention discloses an optimized dispatching method for a waterlogging drainage pump station in a plateau area, which comprises the following steps: determining an objective function and a constraint condition for optimizing scheduling; an orthogonal experiment method is adopted to carry out combined classification on the opening and closing conditions of the pump station units and determine the operation schemes of the opening and closing conditions of various pump station units; optimizing the running scheme of the start-stop condition of each pump station unit by using a genetic algorithm to obtain an optimized scheduling sequence of the water discharge of the pump station unit from high to low so as to obtain the running scheme of the start-stop condition of the pump station unit with the maximum total water discharge; and eliminating the operation scheme of the pump station unit starting and stopping conditions exceeding the river channel safe water level, and adjusting the starting and stopping conditions of the pump station unit according to the optimal scheme in the rest schemes, so that the optimal scheduling of the waterlogging draining pump station in the flat country is realized. The method can save the operation time as much as possible and obtain the global optimal scheduling scheme on the premise of ensuring that the constraint conditions are met, and further can effectively improve the operation efficiency of the waterlogging elimination pump station group in the flat country.
Description
Technical Field
The invention relates to an optimized dispatching technology of waterlogging drainage pump stations, in particular to an optimized dispatching method of waterlogging drainage pump stations in a plateau area.
Background
The dispatching of the plain polder area is to discharge accumulated water in the polder area according to a certain rule in a planned way by utilizing the pumping and drainage capacity of a pump station, and water conservancy facilities such as a pump, a gate and the like are required to be used for exchanging the water amount inside and outside the polder area in the process. When an optimized scheduling scheme of a flood drainage pump station is worked out, the on-off states of the pump station are considered to be combined and classified, and an optimization algorithm is utilized to solve the classification results one by one.
Generally speaking, the classification of the opening and closing conditions of the pump station is completed according to an exhaustion method, when the number of classified objects is small, the exhaustion method completely meets the calculation requirement, however, along with the increase of the classified objects and the opening and closing conditions, the simulation calculation amount of the classification objects exponentially rises, the working efficiency greatly decreases, the working duration greatly increases, and the optimization work is affected very adversely.
For solving the classification results one by one, the conventional methods in the field of pump station optimization mainly comprise a dynamic programming method and a neural network method. However, when numerical solution is carried out by using dynamic programming, serious dimensionality disaster exists, particularly when the stage decision variable is more than 1, the calculated amount exponentially rises along with the dimensionality, and even exceeds the processing capacity range of a computer; as the neural network algorithm is applied more and more widely, the exposed defect problem of the neural network algorithm is more and more, and the three aspects of extremely low convergence rate, contradiction between an application example and the network scale and local minimization are mainly focused.
In summary, various defects exist in the current optimized dispatching method for the waterlogging elimination pump station in the flat country in the industry, and the engineering application of the optimized dispatching operation technology for the waterlogging elimination pump station in the flat country is influenced.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an optimized dispatching method for a waterlogging draining pump station in a plain area.
The technical scheme is as follows: the invention discloses an optimal dispatching method for a waterlogging draining pump station in a plain polder area, which comprises the following steps of:
s1, determining an objective function and a constraint condition of optimized scheduling according to basic assumptions, targets and criteria of an optimized scheduling method; the target function of the optimized scheduling is that the total power consumption of the pump station unit is constant and the total output of the pump station unit is maximum, and the constraint conditions comprise the on-off state constraint and the starting shortest time constraint of a water pump in the pump station unit;
s2, performing combined classification on the starting and stopping conditions of the pump station units by adopting an orthogonal experiment method, and determining operation schemes of the starting and stopping conditions of various pump station units;
s3, optimizing the running scheme of the start-stop state of each pump station unit by using a genetic algorithm to obtain the start-stop running time and the total water discharge amount of the pump station under each scheme, and further obtaining an optimized scheduling sequence of the water discharge amount from high to low and a running scheme of the start-stop state of the pump station unit with the maximum total water discharge amount;
and S4, considering the bearing capacity of the river channel in the polder area, eliminating the operation scheme of the start-stop condition of the pump station unit exceeding the safe water level of the river channel, and adjusting the start-stop condition of the pump station unit according to the optimal scheme in the rest schemes, so that the optimal scheduling of the waterlogging drainage pump station in the flat polder area is realized.
Further, the objective function for optimizing scheduling in step S1 is:
wherein F is the total output of the pump station unit, Q i The installed flow of the ith pump station unit is set, i = 1-n; t is t i For the starting-up duration, x, of the pump station unit i The on-off state of a water pump in the pump station unit is set; m is the rated total power consumption, P i Is the ith group pump station and x i The corresponding rated power;
and (3) restricting the opening and closing states of a water pump in a pump station unit:
x i ＝{1,2,3}
wherein x is i The starting and closing states of a water pump in a pump station unit are represented, wherein 1 represents full opening, 2 represents half opening, and 3 represents closing;
and (3) starting up shortest time constraint:
t i ≥t min
wherein, t i Is the running time of the ith group of pump stations, t min The shortest running time of the pump station unit is.
Further, step S2 specifically includes:
determining three indexes of an orthogonal experiment according to the types of the polder area and the pump station, wherein the three indexes comprise experiment indexes, experiment factors and factor levels; the experimental index is a characteristic value used for evaluating and measuring the quality degree of the result in the result analysis of the orthogonal experiment; the experimental factors refer to the position distribution condition of the pump stations, and the pump station at each position is regarded as one experimental factor; the factor level refers to the opening and closing states of a water pump in a pump station, including full opening, half opening and closing states;
at L, depending on experimental factors and factor levels 4 (2 3 )，L 8 (2 7 )，L 12 (2 11 )，L 9 (3 4 )，L 16 (4 5 ) And L 25 (5 6 ) And selecting a corresponding orthogonal experimental table from the conventional orthogonal experimental table.
Further, after a proper conventional orthogonal experiment table is selected, if a scheduling rule is completely implemented according to the conventional orthogonal experiment table, certain schemes are adopted, the operation mode of a pump station unit is single, the operation time is long, and the schemes are obviously not practical when waterlogging needs to be drained economically and rapidly in a polder area. Therefore, according to the actual situation of the optimized scheduling problem, the selected conventional orthogonal test table is reasonably improved, and the factor levels corresponding to different schemes in the conventional orthogonal test table are adjusted to form an improved orthogonal test table so as to fit the actual scheduling situation of the pump station.
Further, step S3 specifically includes:
determining the number of genetic algorithm groups, iteration times, crossover probability and variation probability according to the total output, the opening and closing state, the starting-up time and the calculation precision of the pump station unit, completing the steps of fitness calculation, selection, crossover and variation through a computer program, and outputting the running time and the corresponding total displacement of each pump station; and finally, performing range analysis on the result to obtain the influence degree of different levels among different experimental factors and in the same experimental factor on the experimental result, and knowing the experimental factor causing the largest influence on the result and the most important level of the experimental factors.
Further, step S3 specifically includes: the method for optimizing the operation scheme of the opening and closing state of each pump station by adopting the genetic algorithm comprises the following steps:
(1) Initializing an algorithm: setting population size M, iteration times G and cross probability p c Probability of variation p m 。
(2) Each possible solution of the total output of all pump station units is regarded as an individual in the algorithm, and a set formed by a plurality of possible solutions is a population; randomly selecting M individuals to form an initial population, and performing evaluation calculation on each individual in the initial population once to obtain individual fitness;
(3) Performing crossing, mutation and selection operations to generate a filial generation population;
(4) Judging whether the current iteration times are larger than the preset iteration times or not; if not, turning to the step (2) to prepare for the next genetic operation; and if so, outputting the individual with the maximum fitness as the optimal solution, and terminating the calculation.
The invention relates to an optimized dispatching system of a waterlogging draining pump station in a plain polder area, which comprises the following steps:
the optimized scheduling model module is used for determining an objective function and a constraint condition of optimized scheduling according to basic assumptions, targets and criteria of an optimized scheduling method;
the scheme determining module is used for performing combined classification on the opening and closing conditions of the pump station by adopting an orthogonal experiment method and determining the operation schemes of various opening and closing conditions of the pump station;
the scheme optimization module is used for optimizing the running scheme of the starting and stopping conditions of each pump station by using a genetic algorithm to obtain the starting and stopping running time length and the total water drainage amount of the pump station under each scheme, and further obtain an optimized scheduling sequence from high to low of the water drainage amount and a running scheme of the starting and stopping conditions of the pump station unit with the maximum total water drainage amount;
and the optimized scheduling module is used for eliminating the pump station operation scheme exceeding the river channel safe water level, adjusting the opening and closing conditions of the pump station unit in the rest optimal schemes, and realizing the optimized scheduling of the waterlogging draining pump station in the flat country.
An apparatus of the present invention includes a memory and a processor, wherein:
a memory for storing a computer program capable of running on the processor;
and the processor is used for executing the steps of the optimal dispatching method for the drainage pump station in the plateau area when the computer program is run.
The invention relates to a storage medium, which stores a computer program, wherein the computer program, when executed by at least one processor, implements the steps of the above method for optimally scheduling a waterlogging draining pump station in a plateau levee area.
Has the advantages that: compared with the prior art, the invention has the technical effects that: (1) The invention adopts the orthogonal selection method for classifying the opening and closing conditions of the pump station, and overcomes the defects of large analog calculation amount and long calculation time caused by a large number of exhaustive method schemes. (2) In the design of the optimization algorithm, the genetic algorithm is selected as the optimization method of the drainage pump station, the problem of dimension disaster of the existing dynamic programming method and the problem of low convergence speed of the neural network method are effectively avoided, the calculation speed is high, the reliability is high, and the requirement of real-time optimization scheduling is met.
Drawings
FIG. 1 is a flow chart for realizing optimized operation of a drainage pumping station;
fig. 2 is a calculation flow chart of a genetic algorithm.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
As shown in fig. 1, the optimal scheduling method for the flood drainage pump station in the plateau polder area of the present invention includes the following steps:
s1, determining an objective function and a constraint condition of optimized scheduling according to basic assumptions, targets and criteria of an optimized scheduling method;
basic assumptions for an optimized scheduling method include:
(1) The water amount generated by rainfall does not exceed the bearable range of the polder area.
(2) All water pumps in a single drainage pumping station are of the same type.
(3) The flow of the water pump after starting up is the installed flow, and the starting-up power is the rated power.
(4) The influence of the water collection capacity of the pumping station in the polder area is not considered.
Optimizing the objective function and constraint conditions of the scheduling, comprising:
according to the optimal dispatching concept of the waterlogging draining pump station in the plain area, the target function of the optimal dispatching is set to be the total constant power consumption of the pump station unit and the total output of the pump station unit, namely the total water discharge is the maximum, and the total water discharge is the sum of the water discharges of all the pump station units. As shown in equation (1):
wherein F is the total output of the pump station unit, Q i The installed flow of the ith pump station unit is i = 1-n; t is t i For the duration of the start-up of the pump station unit, x i The on-off state of a water pump in the pump station unit is set; m is the rated total power consumption, P i Is the ith group pump station and x i The corresponding rated power;
and (3) the on-off state of a water pump in the pump station unit is restrained:
x i ＝{1,2,3} (2)
wherein x is i The starting and stopping states of a water pump in a pump station unit are represented, wherein 1 represents full opening, 2 represents half opening, and 3 represents closing;
and (3) starting up shortest time constraint:
t i ≥t min (3)
wherein, t i Is the running time of the ith group of pump stations, t min The shortest running time of the pump station unit is.
S2, performing combined classification on the opening and closing conditions of the pump stations by adopting an orthogonal experiment method, and determining operation schemes of various opening and closing conditions of the pump stations; the method specifically comprises the following steps:
1) Three main indicators of orthogonal experiments are defined: experimental indices, experimental factors and factor levels.
And determining the experiment indexes, experiment factors and factor levels of the orthogonal experiment according to the types of the polder area and the pump station. The experimental indexes are used for evaluating and measuring the characteristic value of the quality degree of the result in the result analysis of the orthogonal experiment; the experiment factors are factors influencing experiment indexes, the position distribution condition of the pump station units is referred in the invention, and the pump station unit at each position can be generally regarded as an experiment factor; the factor level refers to different conditions and states of each factor in an experiment, and in the invention, refers to the opening and closing states of a water pump in a pump station unit, namely the full opening state, the half opening state and the closing state.
2) Depending on experimental factors and factor levels, at L 4 (2 3 )，L 8 (2 7 )，L 12 (2 11 )，L 9 (3 4 )，L 16 (4 5 ) And L 25 (5 6 ) And selecting a corresponding orthogonal experimental table from the conventional orthogonal experimental table. In this embodiment, the pump station units are distributed at 4 different positions, and each pump station unit has three states of fully open, half open and close, so that the experiment factor is 4, the factor level is 3, and L is selected 9 (3 4 ) Conventional orthogonal experiment table.
In most cases, after the corresponding conventional orthogonal experiment table is selected, if the scheduling rule is completely implemented according to the conventional orthogonal experiment table, certain schemes such as single operation mode of the pump station unit and long operation time appear, and when the polder area needs to economically and rapidly drain waterlogging, the schemes are obviously not practical. Therefore, according to the actual situation of the optimized scheduling problem, the selected conventional orthogonal test table is reasonably improved, and the factor levels corresponding to different schemes in the conventional orthogonal test table are adjusted to form an improved orthogonal test table so as to fit the actual scheduling situation of the pump station.
3) And analyzing the determined operation schemes of the opening and closing states of various pump stations by adopting a range analysis method to obtain the influence degrees of different levels among different factors and in the same factor on the experimental result.
S3, optimizing the operation scheme of the start-stop state of each pump station by using a genetic algorithm to obtain the start-stop operation duration and the total drainage amount of the pump station under each scheme, and further obtaining an optimized scheduling sequence from high to low of the drainage amount and an operation scheme of the start-stop state of the pump station unit with the maximum total drainage amount; .
The genetic algorithm comprises the main steps of randomly generating an initial population, calculating fitness, selecting, crossing, mutating and the like. As shown in fig. 2, includes:
(1) And (4) initializing an algorithm. Setting the population size M =100, the iteration number G =500 and the cross probability p c =0.9, probability of mutation p m ＝0.1。
(2) Each possible solution of the total output of all pump station units is regarded as an individual in the algorithm, and a set formed by a plurality of possible solutions is a population. Randomly selecting M =100 individuals to form an initial population, and performing one-time evaluation calculation on each individual in the initial population to obtain individual fitness;
(3) And performing crossing, mutation and selection operations to generate a filial generation population.
(4) And judging whether the current iteration times are larger than the preset iteration times or not. If not, turning to the step (2) to prepare for the next genetic operation; and if so, outputting the individual with the maximum fitness as the optimal solution, and terminating the calculation.
In the embodiment of the invention, the running scheme of the opening and closing state of each pump station is optimized by using a genetic algorithm. Determining the number of genetic algorithm groups, iteration times, crossover probability and variation probability according to the total output, the opening and closing state, the starting-up time and the calculation precision of the pump station unit, completing the steps of fitness calculation, selection, crossover and variation through a computer program, and outputting the running time and the corresponding total displacement of each pump station; and finally, performing range analysis on the result to obtain the influence degree of different levels among different experimental factors and in the same experimental factor on the experimental result, and knowing the experimental factor causing the largest influence on the result and the most important level of the experimental factors.
S4, checking whether each scheme meets the safety requirement of the river water level, and if so, obtaining the scheme with the maximum total water discharge as the optimal scheme; otherwise, rejecting the scheme; specifically, the method comprises the following steps:
and (3) considering the bearing capacity of the river channel in the polder area, eliminating the pump station operation scheme exceeding the safe water level of the river channel, and adjusting the opening and closing conditions of the pump station unit in the rest optimal scheme, so that the optimal scheduling of the waterlogging draining pump station in the flat zone can be realized.
The invention relates to an optimized dispatching system of a waterlogging draining pump station in a plain polder area, which comprises the following steps:
the optimized scheduling model module is used for determining an objective function and a constraint condition of optimized scheduling according to basic assumption, a target and a criterion of the optimized scheduling method;
the scheme determining module is used for combining and classifying the opening and closing states of the pump stations by adopting an orthogonal experiment method and determining the operation schemes of various opening and closing states of the pump stations;
the scheme optimization module is used for optimizing the running scheme of the starting and stopping conditions of each pump station by using a genetic algorithm to obtain the starting and stopping running time length and the total water drainage amount of the pump station under each scheme, and further obtain an optimized scheduling sequence from high to low of the water drainage amount and a running scheme of the starting and stopping conditions of the pump station unit with the maximum total water drainage amount; (ii) a
And the optimized scheduling module is used for eliminating the pump station operation scheme exceeding the river channel safe water level, adjusting the opening and closing conditions of the pump station unit in the rest optimal schemes, and realizing the optimized scheduling of the waterlogging draining pump station in the flat country.
An apparatus device of the present invention includes a memory and a processor, wherein:
a memory for storing a computer program operable on the processor;
and the processor is used for executing the steps of the optimal dispatching method for the waterlogging elimination pump station in the plateau area when the computer program is run, and can achieve the technical effect consistent with the method.
The storage medium of the present invention stores a computer program, and the computer program, when executed by at least one processor, implements the steps of the above method for optimizing and scheduling a flood drainage pump station in a flat country, and can achieve technical effects consistent with the above method.
Example (b):
the embodiment mainly takes the optimized scheduling of the polar family polder, the leucorrhea polder and the north edge polder in Jiangning areas in Nanjing as an example, and the waterlogging elimination pump station in the harbor river areas in the three polder areas, so as to embody the advantages of the invention in solving speed and solving results.
In the embodiment of the present invention, in S1, the objective function and the constraint condition include:
in the embodiment, the rated power consumption is set to 10000kW · h and the shortest startup time of the pump station is set to 0.5h by combining the relevant parameters and the actual operation condition of the pump station in the polder area. The optimized scheduling model is shown in formula (4):
wherein F is the total output of all pump station units, i.e. the maximum displacement, 10 4 m 3 ；Q i (i =1 to 4) represents the installed flow rate of the ith pump station group, and m 3 /s；t i (i = 1-4) represents the starting operation time h of the ith group of pump stations; t is t min The shortest running time h of the starting pump station is represented; p i (i = 1-4) represents the rated power, kW, of the i-th group of pumping stations; x is the number of i (i =1 to 4) represents the open/close state of the i-th group pump station.
In S2, the specific process of the orthogonal experimental method includes:
in general, the orthogonal design is mainly composed of experimental indexes, experimental factors and factor level 3 indexes. In this embodiment, each of the four pump station units is an experimental factor; setting a Yanjia polder pump station as a factor A, a mall pump station as a factor B, a Xinghuicun pump station as a factor C and a bamboo mountain bridge pump station as a factor D; the pump station is fully opened to be horizontal 1, the pump station is half opened to be horizontal 2, and the pump station is closed to be horizontal 3. Selection of L 9 (3 4 ) The conventional orthogonal experiment table is reasonably improved by combining with actual conditions, C2 and C3 in the original table are exchanged to form an orthogonal experiment table which is more perfect and suitable for actual scheduling of a pump station, and the orthogonal experiment table is shown in table 1:
TABLE 1 modified L 9 (3 4 ) Orthogonal experiment table
According to the table 1, 9 groups of orthogonal tests, namely 9 different pump station scheduling schemes, can be determined, namely the variable x of the starting and stopping state of the pump station in the optimized scheduling model is also determined i The specific value of (c). The experimental result of each group is the maximum water volume which can be discharged by the four flood drainage pump stations under the corresponding operation rules and when the same power consumption is provided.
In S3, the optimization solution of each scheme by using the genetic algorithm specifically includes:
the calculation process of the genetic algorithm is shown in fig. 2. In this embodiment, the number of groups is set to 100, the number of iterations is set to 500, and the crossover probability p is set to c =0.9, probability of mutation p m =0.1. The 9 different pump station scheduling schemes are optimized and solved one by one through operations such as coding, initial population generation, fitness calculation, selection, intersection, variation and the like, and the result is shown in table 2:
TABLE 2 genetic algorithm optimization solution results
The results of the experiment were subjected to range analysis and are shown in table 3:
TABLE 3 results of range analysis
According to the results of the range analysis, it can be known that: among the experimental factors consisting of four pump stations, pump station 1, i.e., the poplar polder pump station, is the most important of the four experimental factors; and pumping station 2, a mall pumping station. Therefore, the optimal performance of the Yanjia polder pump station needs to be fully exerted in the optimized dispatching process, and the maximum water quantity in the polder area needs to be extracted and discharged with the minimum power consumption. Of the three experimental levels in the poplar polder pump station, half-open was the best state and the closing effect was the worst. Therefore, if flood waterlogging occurs, when the flood prevention pressure in the area is not high, the pump stations can be half-opened as much as possible to save energy to the maximum extent, and if the waterlogging needs to be eliminated in the first time, all the pump stations are fully opened to release the flood to the maximum capacity.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained: the embodiment of the invention provides an optimal scheduling method for a waterlogging draining pump station in a plain area, which comprises the following steps: determining a combination scheme of operation modes of each pump station by adopting an orthogonal experiment method, determining a target function by using the principle that the total power consumption is constant and the total output of the pump stations is maximum, determining constraint conditions by using the characteristics of the polder area, the characteristics of a water pump and flood control safety of the polder area as principles, performing optimization solution on each scheme by adopting a genetic algorithm, and obtaining an optimal solution of the optimal scheduling problem of the drainage pump station in the flat polder area after eliminating the scheme which does not meet the requirements on the river level safety. Therefore, by adopting the technical scheme of the invention, the efficient and optimized dispatching of the waterlogging draining pump station in the plateau polder area is realized, and the waterlogging draining efficiency and the safe operation capacity of the pump station can be effectively improved. Meanwhile, the method can be applied to other problems in hydraulic engineering optimization, and theoretical support is provided for developing the optimized operation research of the complex drainage pump station group.
The foregoing is directed to the preferred embodiment of the present invention and it is noted that modifications and variations can be made in the light of the above teachings without departing from the principles of the invention, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (9)
1. An optimal scheduling method for a waterlogging draining pump station in a plain polder area is characterized by comprising the following steps:
s1, determining an objective function and a constraint condition of optimized scheduling according to basic assumption, an objective and a criterion of the optimized scheduling method; the target function of the optimized scheduling is that the total power consumption of the pump station unit is constant and the total output of the pump station unit is maximum, and the constraint conditions comprise the on-off state constraint and the starting shortest time constraint of a water pump in the pump station unit;
s2, performing combined classification on the starting and stopping conditions of the pump station units by adopting an orthogonal experiment method, and determining operation schemes of the starting and stopping conditions of various pump station units;
s3, optimizing the running scheme of the start-stop state of each pump station unit by using a genetic algorithm to obtain the start-stop running time and the total water discharge amount of the pump station under each scheme, and further obtaining an optimized scheduling sequence of the water discharge amount from high to low and a running scheme of the start-stop state of the pump station unit with the maximum total water discharge amount;
and S4, considering the bearing capacity of the river channel in the country, eliminating the operation scheme of the start-stop state of the pump station unit exceeding the safe water level of the river channel, and adjusting the start-stop state of the pump station unit according to the optimal scheme in the rest schemes, so that the optimal scheduling of the waterlogging draining pump station in the country of the plain is realized.
2. The optimal scheduling method for the flood drainage pump station in the plateau area according to claim 1, wherein the objective function of the optimal scheduling in the step S1 is as follows:
wherein F is the total output of the pump station unit, Q i The installed flow of the ith pump station unit is i = 1-n; t is t i For the starting-up duration, x, of the pump station unit i The on-off state of a water pump in a pump station unit is set; m is the rated total power consumption, P i Is the ith group pump station and x i The corresponding rated power;
and (3) restricting the opening and closing states of a water pump in a pump station unit:
x i ＝{1,2,3}
wherein x is i The starting and closing states of a water pump in a pump station unit are represented, wherein 1 represents full opening, 2 represents half opening, and 3 represents closing;
and (3) starting up shortest time constraint:
t i ≥t min
wherein, t i Is the running time of the ith group of pump stations, t min The shortest running time of the pump station unit is.
3. The optimal scheduling method for the flood drainage pump station in the plateau polder area according to claim 1, wherein the step S2 specifically comprises:
determining three indexes of an orthogonal experiment according to the types of the polder area and the pump station, wherein the three indexes comprise experiment indexes, experiment factors and factor levels; the experimental index is a characteristic value used for evaluating and measuring the quality degree of the result in the result analysis of the orthogonal experiment; the experimental factors refer to the position distribution condition of the pump stations, and the pump station at each position is regarded as an experimental factor; the factor level refers to the starting and stopping states of a water pump in a pump station, including full-opening, half-opening and closing states;
at L, depending on experimental factors and factor levels 4 (2 3 )，L 8 (2 7 )，L 12 (2 11 )，L 9 (3 4 )，L 16 (4 5 ) And L 25 (5 6 ) And selecting a corresponding orthogonal experimental table from the conventional orthogonal experimental table.
4. The optimal scheduling method for the waterlogging draining pump station in the plain area according to claim 3, wherein after the corresponding conventional orthogonal experiment table is selected, the selected conventional orthogonal experiment table is improved according to the actual situation of the optimal scheduling problem, and the factor levels corresponding to different schemes in the conventional orthogonal experiment table are adjusted to form the improved orthogonal experiment table so as to fit the actual scheduling situation of the pump station.
5. The optimal scheduling method for the flood drainage pump station in the plateau polder area according to claim 1, wherein the step S3 specifically comprises:
determining the number of genetic algorithm groups, iteration times, crossover probability and variation probability according to the total output, the opening and closing state, the starting-up time and the calculation precision of the pump station unit, completing the steps of fitness calculation, selection, crossover and variation through a computer program, and outputting the running time and the corresponding total displacement of each pump station; and finally, performing range analysis on the result to obtain the influence degree of different levels among different experimental factors and in the same experimental factor on the experimental result, and knowing the experimental factor causing the largest influence on the result and the most important level of the experimental factors.
6. The optimal scheduling method for the waterlogging draining pump station in the plateau area according to claim 1, wherein the specific method for optimizing the operation scheme of the start and stop state of each pump station by adopting the genetic algorithm in the step S3 is as follows:
(1) Algorithm initialization: setting population size M and iteration timesG, cross probability p c Probability of variation p m ；
(2) Each possible solution of the total output of all pump station units is regarded as an individual in the algorithm, and a set formed by a plurality of possible solutions is a population; randomly selecting M individuals to form an initial population, and performing evaluation calculation on each individual in the initial population once to obtain individual fitness;
(3) Performing crossing, mutation and selection operations to generate a filial generation population;
(4) Judging whether the current iteration times are larger than the preset iteration times or not; if not, turning to the step (2) to prepare for the next genetic operation; and if so, outputting the individual with the maximum fitness as the optimal solution, and terminating the calculation.
7. An optimized dispatching system of a waterlogging draining pump station in a plain polder area is characterized by comprising the following steps:
the optimized scheduling model module is used for determining an objective function and a constraint condition of optimized scheduling according to basic assumption, a target and a criterion of the optimized scheduling method;
the scheme determining module is used for performing combined classification on the opening and closing conditions of the pump station by adopting an orthogonal experiment method and determining the operation schemes of various opening and closing conditions of the pump station;
the scheme optimization module is used for optimizing the running scheme of the starting and stopping conditions of each pump station by using a genetic algorithm to obtain the starting and stopping running time length and the total water drainage amount of the pump station under each scheme, and further obtain an optimized scheduling sequence from high to low of the water drainage amount and a running scheme of the starting and stopping conditions of the pump station unit with the maximum total water drainage amount;
and the optimized scheduling module is used for eliminating the pump station operation scheme exceeding the river channel safe water level, adjusting the opening and closing conditions of the pump station unit in the rest optimal schemes, and realizing the optimized scheduling of the waterlogging draining pump station in the flat country.
8. An apparatus, comprising a memory and a processor, wherein:
a memory for storing a computer program capable of running on the processor;
a processor for executing the steps of the method for optimizing dispatching of flood drainage pumping stations in plateau polder areas according to any one of claims 1 to 6 when the computer program is run.
9. A storage medium, having stored thereon a computer program which, when executed by at least one processor, performs the steps of the method for optimized dispatch of flood drainage pumping stations in the plateau levee area according to any one of claims 1 to 6.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116596280A (en) * | 2023-07-17 | 2023-08-15 | 青岛国源中创电气自动化工程有限公司 | Cooperative scheduling method for water pump set of sewage treatment plant |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116596280A (en) * | 2023-07-17 | 2023-08-15 | 青岛国源中创电气自动化工程有限公司 | Cooperative scheduling method for water pump set of sewage treatment plant |
| CN116596280B (en) * | 2023-07-17 | 2023-10-03 | 青岛国源中创电气自动化工程有限公司 | Cooperative scheduling method for water pump set of sewage treatment plant |
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