A cascade reservoir allocation method and device based on type-II fuzzy

Abstract

The present application provides a type-II fuzzy-based cascade reservoir allocation method and device, which relates to the field of hydropower technology. The method includes: according to the cascade reservoir total power generation evaluation value calculation model, obtaining the total power generation evaluation value interval of the cascade reservoir within the preset inflow flow interval, taking the maximum water use satisfaction of the water user as the goal, taking the water use of each water user to meet the corresponding preset water use range, and taking the total water use of each water user not exceeding the sum of the local available water and the reservoir discharge flow as the constraint, obtaining the water use satisfaction interval through the type-II fuzzy algorithm; taking the total power generation evaluation value of the cascade reservoir in the total power generation evaluation value interval, and the water use satisfaction of the water user in the water use satisfaction interval as the constraint, obtaining the target water level of the cascade reservoir through the preset compromise planning algorithm, so as to allocate the cascade reservoir according to the target water level. The method of the present application can accurately allocate the cascade reservoirs.

Description

Technical Field

[0001] The present application relates to the field of hydropower technology, and in particular to a type-II fuzzy-based cascade reservoir allocation method and device. Background Art

[0002] A cascade reservoir system consists of a series of reservoirs arranged in sequence at set intervals from upstream to downstream along a river. Each reservoir is connected to a river and can be equipped with a hydropower station that uses its water energy to generate electricity. In addition, the upstream and downstream rivers of the reservoir can be connected to water users to meet water demand.

[0003] In related technical applications, a typical year is usually selected as the reservoir inflow, and the reservoir is deployed based on the inflow and deterministic model. However, in practical applications, due to the influence of uncertain factors such as rainfall, there is significant uncertainty in the reservoir inflow. This uncertainty leads to significant deficiencies in the accuracy and availability of the reservoir deployment results based on the determined reservoir inflow. Summary of the invention

[0004] The embodiment of the present application provides a type-II fuzzy-based cascade reservoir allocation method and device to solve the problems of low accuracy and availability of allocation results of reservoir allocation based on determined reservoir inflow in the prior art.

[0005] In a first aspect, an embodiment of the present application provides a type-II fuzzy-based cascade reservoir allocation method, wherein the cascade reservoir includes at least two reservoirs; the method includes:

[0006] According to the pre-constructed total power generation evaluation value calculation model, the total power generation evaluation value interval of the cascade reservoir within the preset inflow flow interval is obtained; the preset inflow flow interval includes a minimum inflow flow and a maximum inflow flow;

[0007] The goal is to maximize the water satisfaction of water users, and the water consumption of each water user is within the corresponding preset water consumption range, and the total water consumption of each water user does not exceed the sum of the local available water and the reservoir discharge flow. The water satisfaction interval is obtained through a type-II fuzzy algorithm; the water user is an object that is provided with water through the river connected to the cascade reservoirs;

[0008] With the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water user being within the water use satisfaction interval as constraints, a preset compromise planning algorithm is used to obtain the target total power generation evaluation value of the cascade reservoirs, and the target water level corresponding to the target total power generation evaluation value is obtained, so as to adjust the cascade reservoirs according to the target water level.

[0009] Optionally, obtaining the water satisfaction interval by using a type-II fuzzy algorithm includes:

[0010] By using the type-II fuzzy algorithm, the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow are obtained;

[0011] A water use satisfaction interval is constructed according to the first maximum water use satisfaction, the first minimum water use satisfaction, the second maximum water use satisfaction and the second minimum water use satisfaction.

[0012] Optionally, according to a pre-constructed total power generation evaluation value calculation model, obtaining a total power generation evaluation value interval of the cascade reservoir within a preset inflow flow interval includes:

[0013] Taking the maximum total power generation evaluation value of the hydropower station in the cascade reservoirs as the goal, according to the preset constraints and the genetic algorithm, taking the water level as the adjustment parameter, respectively obtaining the first maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the maximum inflow;

[0014] The total power generation evaluation value interval is constructed with the first maximum total power generation evaluation value as a lower limit value and the second maximum total power generation as an evaluation value upper limit value.

[0015] Optionally, the method further includes:

[0016] According to the total power generation evaluation value calculation model, the total power generation evaluation value of the hydropower station in the cascade reservoirs is obtained;

[0017] The total power generation evaluation value calculation model is:

[0018]

[0019] in, represents the total power generation evaluation value of the hydropower stations in the cascade reservoirs, For the The comprehensive output coefficient of a reservoir is For the The reservoir is The average power generation flow in the time period, For the The reservoir is The power generation head of a time period, The preset unit duration; is the total number of reservoirs, The total number of time periods.

[0020] Optionally, the preset constraints include at least one of the following: the reservoir capacity of the reservoir in adjacent time periods satisfies the water balance constraint, the inflow flow between two adjacent reservoirs satisfies the hydraulic connection constraint between the cascade hydropower stations, the water level of each reservoir is in a preset water level range, the power generation flow of each reservoir is in a preset power generation flow range, and the hydropower station output of each hydropower station is in a preset output range.

[0021] Optionally, the water balance constraint condition is:

[0022]

[0023] and Respectively The reservoir is time period and Storage capacity for a time period; Respectively The reservoir is The average inflow, average power generation flow and average water abandonment in each time period; The preset unit duration;

[0024] The hydraulic connection constraints between the cascade hydropower stations are:

[0025]

[0026] in, For the The reservoir is Average inbound flow in a time period; For the The reservoir is The average power generation flow in a time period; For the The reservoir is The amount of water supplied during a period of time.

[0027] Optionally, taking the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water user being within the water use satisfaction interval as a constraint, obtaining the target total power generation evaluation value of the cascade reservoirs through a preset compromise planning algorithm, and obtaining the target water level corresponding to the target total power generation evaluation value, including:

[0028] According to the preset compromise planning algorithm, a compromise planning solution is obtained in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval, and the water use satisfaction is within the water use satisfaction interval;

[0029] Obtaining that the total power generation of the cascade reservoirs is equal to the upper limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs is equal to the first intermediate value of the average value of the first minimum water use satisfaction and the first maximum water use satisfaction;

[0030] The total power generation of the cascade reservoirs is equal to the lower limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs is equal to the second middle value of the average value of the second minimum water use satisfaction and the second maximum water use satisfaction;

[0031] Obtaining a final decision solution according to the compromise planning solution, the first intermediate value, and the second intermediate value, and determining the water level corresponding to the final decision solution as the target water level of the cascade reservoir;

[0032] Among them, the water use satisfaction interval includes a first water use satisfaction interval formed by the first minimum water use satisfaction and the second minimum water use satisfaction, and a second water use satisfaction interval formed by the first maximum water use satisfaction and the second maximum water use satisfaction, and the compromise planning solution includes a first compromise planning solution obtained based on the first water use satisfaction interval, and a second compromise planning solution obtained based on the second water use satisfaction interval.

[0033] Optionally, obtaining a final decision solution according to the compromise planning solution, the first intermediate value, and the second intermediate value includes:

[0034] In a coordinate system with the water use satisfaction of the cascade reservoirs as the horizontal coordinate and the total power generation evaluation value of the cascade reservoirs as the vertical coordinate, connecting the coordinates of the first compromise planning solution in the coordinate system and the coordinates of the second compromise planning solution in the coordinate system to obtain a first connecting line;

[0035] Connecting the coordinates of the first intermediate value in the coordinate system and the coordinates of the second intermediate value in the coordinate system to obtain a second connecting line;

[0036] Obtaining an intersection point of the first connecting line and the second connecting line, and determining the intersection point as a final decision solution;

[0037] Among them, the first compromise planning solution includes a first total power generation evaluation value and a first water use satisfaction; the second compromise planning solution includes a second total power generation evaluation value and a second water use satisfaction; the first intermediate value includes an upper limit value of the first total power generation evaluation value interval, and an average value of the first minimum water use satisfaction and the first maximum water use satisfaction; the second intermediate value includes a lower limit value of the first total power generation evaluation value interval, and an average value of the second minimum water use satisfaction and the second maximum water use satisfaction.

[0038] Optionally, the preset compromise planning algorithm includes multiple iterative processing processes, and obtaining a compromise planning solution in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval and the water use satisfaction is within the water use satisfaction interval according to the preset compromise planning algorithm, includes:

[0039] In the current iterative processing process, the total power generation evaluation value and the water use satisfaction when the water levels of the cascade reservoirs are the same are taken as the parameters to be debugged, the minimum intermediate parameter is taken as the goal, the total power generation evaluation value is in the total power generation evaluation value interval, the water use satisfaction is in the water use satisfaction interval, and the association relationship between the total power generation evaluation value and the intermediate parameter satisfies the first preset association relationship, and the association relationship between the water use satisfaction and the intermediate parameter satisfies the second preset association relationship as constraints, the parameters to be debugged are optimized to obtain the optimized parameters;

[0040] When the current number of iterations reaches the preset total number of iterations, the iteration is stopped, and a compromise planning solution of the cascade reservoirs is obtained based on multiple optimization parameters obtained through multiple iterations; one iteration has one optimization parameter.

[0041] Optionally, the first preset association relationship includes: a first difference between the total power generation evaluation value and the lower limit of the total power generation evaluation value interval, and a product of a first weight value and a ratio of the lower limit of the total power generation evaluation value interval, which is less than or equal to the intermediate parameter; the first weight value is a weight value obtained according to the current number of iterations and the preset total number of iterations;

[0042] The second preset association relationship includes: the product of the second difference between the water use satisfaction and the lower limit of the water use satisfaction interval, and the ratio of the second weight value and the lower limit of the water use satisfaction interval, is less than or equal to the intermediate parameter; the sum of the second weight value and the first weight value is equal to the preset value.

[0043] Optionally, obtaining a compromise planning solution for the cascade reservoirs according to multiple optimization parameters obtained through multiple iterative processes includes:

[0044] For each of the optimization parameters, according to a preset total power generation evaluation value score calculation model, the total power generation evaluation value score of the total power generation evaluation value in the optimization parameter is obtained, and according to a preset water use satisfaction score calculation model, the water use satisfaction score of the water use satisfaction in the optimization parameter is obtained;

[0045] For each of the optimization parameters, obtaining the minimum score of the total power generation evaluation value score and the water use satisfaction score;

[0046] Obtaining a target score from multiple minimum scores of multiple optimization parameters; one optimization parameter has a corresponding minimum score, and the target score is greater than other minimum scores;

[0047] The optimization parameters corresponding to the target scores are determined as the compromise planning solution of the cascade reservoirs.

[0048] Optionally, obtaining the total power generation evaluation value score of the total power generation evaluation value in the optimization parameter according to a preset total power generation evaluation value score calculation model includes:

[0049] Obtaining a third difference between an upper limit value of a total power generation evaluation value interval and the total power generation evaluation value, and a fourth difference between an upper limit value and a lower limit value of the total power generation evaluation value interval;

[0050] Determine the ratio of the third difference to the fourth difference as the total power generation evaluation value score;

[0051] The step of obtaining the water satisfaction score of the water satisfaction score in the optimization parameter according to the preset water satisfaction score calculation model includes:

[0052] Obtain a fifth difference between an upper limit value of a water use satisfaction interval and the water use satisfaction value, and a sixth difference between an upper limit value and a lower limit value of the water use satisfaction interval;

[0053] The ratio of the fifth difference to the sixth difference is determined as the water use satisfaction score.

[0054] Optionally, the method further includes:

[0055] According to a water use satisfaction model, obtaining the water use satisfaction;

[0056] The water use satisfaction model is:

[0057]

[0058] in, For water satisfaction, For the The first The water-using sector The water efficiency coefficient for each time period is For the The first The water-using sector Water consumption in a certain period of time; They are the total number of water-using units, the total number of water-using departments, and the total number of time periods.

[0059] Optionally, the constraints for obtaining the water satisfaction interval through the type-II fuzzy algorithm also include:

[0060] The water consumption of each water-using object satisfies the non-negative constraint of the variable;

[0061] The non-negative constraint condition of the variables is:

[0062]

[0063] in, For the The first The water-using sector Water consumption during a period of time.

[0064] In a second aspect, an embodiment of the present application provides a type-II fuzzy-based cascade reservoir allocation device, wherein the cascade reservoir includes at least two reservoirs; the method includes:

[0065] A first acquisition module is used to obtain a total power generation evaluation value interval of the cascade reservoir within a preset inflow flow interval according to a pre-constructed total power generation evaluation value calculation model; the preset inflow flow interval includes a minimum inflow flow and a maximum inflow flow;

[0066] The second acquisition module is used to obtain the water satisfaction interval by using a type-II fuzzy algorithm with the goal of maximizing the water satisfaction of the water users, with the water consumption of each water user being within the corresponding preset water consumption range, and the total water consumption of each water user not exceeding the sum of the local available water and the reservoir discharge flow as a constraint; the water users are the objects that are provided with water through the river connected to the cascade reservoirs;

[0067] The third acquisition module is used to obtain the target total power generation evaluation value of the cascade reservoirs and the target water level corresponding to the target total power generation evaluation value through a preset compromise planning algorithm, with the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water user being within the water use satisfaction interval as constraints, so as to adjust the cascade reservoirs according to the target water level.

[0068] In a third aspect, an embodiment of the present application further provides an electronic device, including a processor;

[0069] a memory for storing instructions executable by the processor;

[0070] The processor is configured to execute the instructions to implement the method of the first aspect.

[0071] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute the method of the first aspect.

[0072] In the embodiment of the present application, the total power generation evaluation value interval of the cascade reservoir within the preset inflow interval is obtained through the pre-constructed total power generation evaluation value calculation model, the water use satisfaction of the water user is maximized as the goal, the water use of each water user satisfies the corresponding preset water use range, and the total water use of each water user does not exceed the sum of the local available water and the reservoir discharge flow as a constraint, the water use satisfaction interval is constructed through the type-II fuzzy algorithm, and the total power generation evaluation value of the cascade reservoir is in the total power generation evaluation value interval, and the water use satisfaction of the water user is in the water use satisfaction interval as a constraint, and the target water level of the cascade reservoir is obtained through the preset compromise planning algorithm, so as to adjust the water level of the cascade reservoir according to the target water level. The inflow of the reservoir is uncertain, and the water use satisfaction interval is obtained based on the type-II fuzzy algorithm, and the water use satisfaction interval can reflect the uncertainty of the inflow. With the water use satisfaction interval as one of the constraints, the target water level that meets the power generation benefit demand and the water use benefit demand and can reflect the uncertainty of the inflow can be obtained through the preset compromise planning algorithm.

[0073] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0075] Figure 1 It is a schematic diagram of an application scenario of a cascade reservoir allocation method based on type-II fuzzy provided in an embodiment of the present application;

[0076] Figure 2 It is a flow chart of the steps of a cascade reservoir allocation method based on type-II fuzzy provided in an embodiment of the present application;

[0077] Figure 3 It is a flowchart of another method for allocating cascade reservoirs based on type-II fuzzy provided in an embodiment of the present application;

[0078] Figure 4 It is a coordinate diagram of a compromise planning solution and a final decision solution provided in an embodiment of the present application;

[0079] Figure 5It is a flowchart of the steps of another type-II fuzzy-based cascade reservoir allocation method provided in an embodiment of the present application;

[0080] Figure 6 It is a block diagram of a cascade reservoir allocation device based on type-II fuzzy provided by an embodiment of the present invention;

[0081] Figure 7 is a block diagram of an electronic device provided by an embodiment of the present invention;

[0082] Figure 8 is a block diagram of another electronic device according to another embodiment of the present invention. DETAILED DESCRIPTION

[0083] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0084] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally a class, and the number of objects is not limited. For example, the first object can be one or more. In addition, the term "and / or" in the specification and claims is used to describe the association relationship of associated objects, indicating that three kinds of relationships can exist, for example, A and / or B can be represented: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the front and back associated objects are a kind of "or" relationship. In the embodiment of the present application, the term "multiple" refers to two or more, and other quantifiers are similar.

[0085] Figure 1 This is a schematic diagram of an application scenario of a cascade reservoir allocation method based on type II fuzzy provided in an embodiment of the present application, referring to Figure 1 The application scenario includes at least reservoirs distributed at intervals along the river and forming cascade reservoirs. The reservoirs include Figure 1 Reservoir 1, Reservoir 2, Reservoir 3, Reservoir 4 and Reservoir 5. In the cascade reservoirs, the river connected to the reservoir is also used to supply water to the water users, see Figure 1 , the water use object can be a water use unit, which includes Figure 1The water use unit 1, water use unit 2, water use unit 3, water use unit 4, and water use unit 5 are shown. Further, the water use object can be further refined into the water use departments of each water use unit. A water use unit can include one or more water use departments. For example, the water use departments include domestic water use department, industrial water use department, agricultural water use department, and ecological water use department.

[0086] In the related art, in order to ensure the benefits of water use and power generation, a fixed inflow is set, and reservoir allocation parameters are obtained based on the determined inflow and deterministic model, and cascade reservoirs are allocated based on the allocation parameters. However, the actual inflow of the reservoir is uncertain, and the allocation results of reservoirs based on this method are low in accuracy.

[0087] In order to solve the problems in the related art, this embodiment provides a cascade reservoir allocation method based on type II fuzzy, including: according to a pre-constructed total power generation evaluation value calculation model, obtaining the total power generation evaluation value interval of the cascade reservoir within the preset inflow interval, wherein the preset inflow interval includes the minimum inflow and the maximum inflow; taking the maximum water satisfaction of the water user as the goal, taking the water consumption of each water user in the corresponding preset water consumption range, and the total water consumption of each water user not exceeding the sum of the local available water and the reservoir discharge flow as the constraint, obtaining the water satisfaction interval through the type II fuzzy algorithm; the water user is the object provided with water through the river connected to the cascade reservoir; taking the total power generation evaluation value of the cascade reservoir in the total power generation evaluation value interval, and the water satisfaction of the water user in the water satisfaction interval as the constraint, obtaining the target water level of the cascade reservoir through the preset compromise planning algorithm, so as to adjust the cascade reservoir according to the target water level. The inflow of the reservoir is uncertain, and the water satisfaction interval is obtained based on the type II fuzzy algorithm, and the water satisfaction interval can reflect the uncertainty of the inflow. Taking the water use satisfaction interval as one of the constraints, through the preset compromise planning algorithm, the target water level that meets the power generation efficiency requirements and water use efficiency requirements and can reflect the uncertainty of the inflow flow can be obtained. Based on the target water level, the cascade reservoirs can be accurately allocated.

[0088] The type-II fuzzy-based cascade reservoir allocation method provided in the embodiment of the present application is described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0089] Figure 2 is a flow chart of the steps of a cascade reservoir allocation method based on type II fuzzy provided in an embodiment of the present application, such as Figure 2 As shown, the method may include:

[0090] Step 101: Obtain a total power generation evaluation value interval of a cascade reservoir within a preset inflow range according to a pre-constructed total power generation evaluation value calculation model.

[0091] Among them, the preset inbound flow range includes the minimum inbound flow and the maximum inbound flow.

[0092] For example, the total power generation evaluation value represents the total power generation benefit of the cascade reservoirs. The following operations are performed for each reservoir to obtain the total power generation evaluation value of the reservoir: obtain the power generation evaluation value of the reservoir in each preset unit time, sum the power generation evaluation values ​​in multiple preset unit time, obtain the total power generation evaluation value of the reservoir, and sum the total power generation evaluation values ​​of multiple reservoirs to obtain the total power generation evaluation value of the cascade reservoirs.

[0093] Furthermore, according to the total power generation evaluation value calculation model, the total power generation evaluation value of the hydropower station in the cascade reservoir is obtained; wherein the total power generation evaluation value calculation model can be:

[0094]

[0095] in, represents the total power generation evaluation value of the cascade reservoirs, For the The comprehensive output coefficient of a reservoir is For the Reservoirs in The average power generation flow in the time period, For the The reservoir is The power generation head of a time period, The preset unit duration; is the total number of reservoirs, is the total number of time periods. It should be noted that Yes and The relevant amount, in obtaining In the case of , the table lookup method can be used to obtain the mapping relationship between the pre-built average power generation flow and the power generation head. Corresponding .

[0096] Step 102, with the goal of maximizing the water use satisfaction of the water users, with the water consumption of each water user being within the corresponding preset water consumption range, and with the constraints that the total water consumption of each water user does not exceed the sum of the local available water volume and the reservoir discharge flow, the water use satisfaction interval is obtained through a type-II fuzzy algorithm.

[0097] The water user is an object that is provided with water through the river connected to the cascade reservoirs. The water user can be a water user unit, which can include an industrial water user department, an agricultural water user department, or other water users.

[0098] The water use satisfaction represents the water use efficiency of all water users. The following operations are performed for each water user to obtain the water use satisfaction of the water user: obtain the water use satisfaction of the water user in each preset unit time, sum the water use satisfaction in multiple preset unit time to obtain the water use satisfaction of the water user, and sum the water use satisfaction of multiple water users to obtain the water use satisfaction of the water user.

[0099] For example, the water use satisfaction of the water use object can be calculated according to the water use satisfaction model shown below:

[0100]

[0101] in, For water satisfaction, For the The first The water-using sector The water efficiency coefficient for each time period is For the The first The water-using sector Water consumption during a period of time. They are the total number of water-using units, the total number of water-using departments, and the total number of preset time periods.

[0102] Taking the maximum water satisfaction of water users as the goal, the corresponding objective function is:

[0103]

[0104] The water consumption of each water user is within the corresponding preset water consumption range, indicating that each water user meets the water consumption guarantee rate constraint. For example, if the water user is a water user department of a water user unit, the water consumption guarantee rate constraint is:

[0105]

[0106]

[0107] in, and Respectively The first The water-using sector The minimum and maximum water consumption in each time period. is the total number of water-using units.

[0108] In this example, there are four water-using departments, so The maximum value of is 4. It should be noted that in actual applications, the number of water-using departments may be more or less than 4.

[0109] The total water consumption of each user does not exceed the sum of the local available water and the reservoir discharge flow, indicating that the user meets the interval water consumption constraint. For example, the user is the user department of the user unit, and the interval water consumption constraint can be expressed as:

[0110]

[0111] in, and Respectively represent The reservoir is The average power generation flow and average water abandonment in each time period. Indicates The water unit is in Local water consumption in a certain period of time, The preset unit duration.

[0112] In addition, the water consumption of the water-using object needs to satisfy the non-negative constraint of the variable, that is, the water consumption needs to satisfy the following constraints:

[0113]

[0114] That is, The first The water-using sector Water consumption in each time period Needs to be greater than or equal to zero.

[0115] Step 103, with the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water user being within the water use satisfaction interval as constraints, obtain the target total power generation evaluation value through a preset compromise planning algorithm, and obtain the target water level corresponding to the target total power generation evaluation value, so as to adjust the cascade reservoirs according to the target water level.

[0116] For example, taking the maximum total power generation evaluation value of the hydropower station in the cascade reservoir as the goal, according to preset constraints and genetic algorithms, the water level is used as the adjustment parameter to obtain the total power generation evaluation value interval, wherein each total power generation evaluation value in the total power generation evaluation value interval has a corresponding water level.

[0117] For example, refer to Figure 4 , construct a water consumption satisfaction model ( ) as the horizontal axis, and the power generation evaluation value ( ) is a coordinate system with the ordinate as the vertical axis, and in this coordinate system, within the interval formed by the upper and lower limits in the total power generation evaluation value interval and the upper and lower limits in the water use satisfaction interval, the target total power generation evaluation value of the cascade reservoirs is obtained through a preset compromise planning algorithm.

[0118] The total power generation evaluation value is a quantity related to the water level, and the water level corresponding to the target total power generation evaluation value is determined as the target water level.

[0119] In the embodiment of the present application, the total power generation evaluation value interval of the cascade reservoir within the preset inflow interval is obtained through the pre-constructed total power generation evaluation value calculation model, the water use satisfaction of the water user is maximized as the goal, the water use of each water user satisfies the corresponding preset water use range, and the total water use of each water user does not exceed the sum of the local available water and the reservoir discharge flow as a constraint, the water use satisfaction interval is constructed through the type-II fuzzy algorithm, and the total power generation evaluation value of the cascade reservoir is in the total power generation evaluation value interval, and the water use satisfaction of the water user is in the water use satisfaction interval as a constraint, the target total power generation evaluation value is obtained through the preset compromise planning algorithm, and the target water level corresponding to the target total power generation evaluation value is obtained, so as to adjust the water level of the cascade reservoir according to the target water level. The inflow of the reservoir is uncertain, and the water use satisfaction interval is obtained based on the type-II fuzzy algorithm, and the water use satisfaction interval can reflect the uncertainty of the inflow. With the water use satisfaction interval as one of the constraints, the target water level that meets the power generation benefit demand and the water use benefit demand and can reflect the uncertainty of the inflow can be obtained through the preset compromise planning algorithm.

[0120] Figure 3 is another type-II fuzzy cascade reservoir allocation method in the present application, referring to Figure 3 , the method may include the following steps:

[0121] Step 201, with the goal of maximizing the total power generation evaluation value of the hydropower stations in the cascade reservoirs, according to preset constraints and genetic algorithms, with the water level as the adjustment parameter, respectively obtain the first maximum total power generation evaluation value when the inflow flow of the cascade reservoirs is equal to the minimum inflow flow, and the second maximum total power generation evaluation value when the inflow flow of the cascade reservoirs is equal to the maximum inflow flow.

[0122] Among them, a hydropower station is a hydropower station that generates electricity through cascade reservoirs.

[0123] The goal is to maximize the total power generation evaluation value of the hydropower stations in the cascade reservoirs, and the objective function of the genetic algorithm is:

[0124]

[0125] For example, the preset constraints include at least one of the following: the reservoir capacity of the reservoir in adjacent time periods satisfies the water balance constraint, the inflow flow between two adjacent reservoirs satisfies the hydraulic connection constraint between the cascade hydropower stations, the water level of each reservoir is within a preset water level range, the power generation flow of each reservoir is within a preset power generation flow range, and the hydropower station output of each hydropower station is within a preset output range.

[0126] Furthermore, the reservoir capacity in adjacent time periods that satisfies the water balance constraint can be expressed as:

[0127]

[0128] in, and Respectively The reservoir is time period and Storage capacity for a time period; Respectively The reservoir is The average inflow, average power generation flow and average water abandonment in each time period. Among them, the discharge flow is equal to the sum of the power generation flow and the water abandonment flow.

[0129] The inflow between two adjacent reservoirs that meets the hydraulic connection constraints between cascade hydropower stations can be expressed as:

[0130]

[0131] in, and Respectively Reservoirs and The reservoir is The average inflow flow in a time period; For the The reservoir is The average power generation flow in a time period; For the The reservoir is The amount of water supplied during a period of time.

[0132] The water level constraint condition that the water level of each reservoir is within the preset water level range can be expressed as:

[0133]

[0134] in, For the The hydropower station at the reservoir is Water level in each time period; Respectively The hydropower station at the reservoir is The lower and upper limits of the water level in a time period.

[0135] The power generation flow of each reservoir is within the preset power generation flow range, indicating that the power generation flow of each reservoir meets the power generation flow constraint:

[0136]

[0137] in, For the The reservoir is The power generation flow in each time period; For the The reservoir is The lower and upper limits of the power generation flow in each time period. The reservoir is The power generation flow in the time period is equivalent to The hydropower station at the reservoir is The power generation flow in a time period.

[0138] The hydropower station output of each hydropower station is within the preset output range, that is, the hydropower station meets the output constraint:

[0139]

[0140] in, Respectively The hydropower station at the reservoir is The lower and upper limits of the hydropower station output in a certain time period; Indicates The hydropower station at the reservoir is The power station output during a certain period of time.

[0141] Further, the inflow flow interval is obtained according to historical data. When the inflow flow is equal to the minimum inflow flow, the water level of the cascade reservoir is adjusted based on the preset water level interval corresponding to the minimum inflow flow. During the adjustment process, the downstream flow corresponding to the regulated water level is obtained according to the corresponding relationship between the preset water level and the downstream flow, wherein the downstream flow is equal to the sum of the abandoned water flow and the power generation flow. Based on the water balance constraint, the hydraulic connection constraint of the cascade hydropower station, the power generation flow constraint, and the output constraint, the power generation flow corresponding to the downstream flow is adjusted, and the power generation head corresponding to the power generation flow is obtained according to the pre-constructed corresponding relationship between the power generation flow and the power generation head, and the power generation flow and the power generation head are substituted into the total power generation evaluation value calculation model to obtain the total power generation evaluation value. From the multiple total power generation evaluation values ​​corresponding to the multiple power generation flows, the maximum power generation evaluation value is obtained, and the maximum power generation evaluation value is the maximum power generation evaluation value corresponding to the regulated water level. Among them, different regulated water levels have different power generation flow constraints. The power generation flow constraint corresponding to the regulated water level can be obtained according to the pre-constructed corresponding relationship between the water level and the power generation flow constraint.

[0142] Based on the above method, according to the multiple regulating water levels corresponding to the minimum inflow flow, multiple maximum power generation evaluation values ​​can be obtained, and the multiple maximum power generation evaluation values ​​are compared to obtain the maximum value, which is determined as the first maximum total power generation evaluation value when the inflow flow of the cascade reservoir is equal to the minimum inflow flow.

[0143] Referring to the step of obtaining the first maximum total power generation evaluation value when the inflow flow of the cascade reservoirs is equal to the minimum inflow flow, the second maximum total power generation evaluation value when the inflow flow of the cascade reservoirs is equal to the maximum inflow flow is obtained.

[0144] Step 202 , constructing a total power generation evaluation value interval with the first maximum total power generation evaluation value as the lower limit value and the second maximum total power generation evaluation value as the upper limit value.

[0145] For example, the total power generation evaluation value interval is Figure 4 middle and The interval between.

[0146] Step 203, with the goal of maximizing the water use satisfaction of the water users, with the water consumption of each water user satisfying its corresponding preset water consumption range, and with the constraints that the total water consumption of each water user does not exceed the sum of the local available water volume and the reservoir discharge flow, the water use satisfaction interval is obtained through a type-II fuzzy algorithm.

[0147] Among them, water users are those who receive water through rivers connected to cascade reservoirs.

[0148] For example, according to the water use satisfaction model, water use satisfaction is obtained;

[0149] The water satisfaction model is:

[0150]

[0151] in, For water satisfaction, For the The first The water-using sector The water efficiency coefficient for each time period is For the The first The water-using sector Water consumption in a certain period of time; They are the total number of water-using units, the total number of water-using departments, and the total number of preset time periods.

[0152] For example, step 203 may include the following sub-steps:

[0153] Sub-step 2031, using a type-II fuzzy algorithm, obtaining the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow;

[0154] Through the type-II fuzzy algorithm, the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, as well as the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow, are obtained. This can be specifically achieved through the following algorithm.

[0155] First, the objective function corresponding to the water satisfaction calculation model is Normalized to:

[0156]

[0157] And the water guarantee rate constraint, interval water total amount constraint and variable non-negative constraint are standardized as follows:

[0158]

[0159]

[0160]

[0161] in, is the objective function; is the decision variable; is the decision variable coefficient in the objective function; Indicates fuzzy inequality relationship. The amount of water used by the water users; is the coefficient of the decision variable containing type-2 fuzzy numbers in the constraints; is the coefficient of the decision variable that does not contain type-2 fuzzy numbers in the constraints; The right side of the constraint condition is a type-two fuzzy number, which can be expressed as , respectively represent the lower bound, lower fuzzy bound, central value, upper fuzzy bound and upper bound of the fuzzy number; represents the number of intervals on the right side of the constraint; represents the number of type-two fuzzy constraints, among which there are The right side is a type-2 fuzzy number constraint; Representatives share Constraints, Indicates the number of constraints.

[0162] For example, based on the interactive algorithm, the model is first decomposed into two sub-models with type-two fuzzy parameters. Then the penalty coefficient is introduced, and the type-two fuzzy set is converted into a common fuzzy set based on the optimization model to obtain two fuzzy optimization sub-models. Finally, the system satisfaction is introduced to convert the two sub-models into corresponding linear models for solution. Specifically, when the objective function is maximized, the upper bound sub-model can be expressed as:

[0163]

[0164] The constraints are:

[0165]

[0166]

[0167]

[0168]

[0169]

[0170] in, , Respectively The upper and lower absolute values ​​of ; , Respectively The upper and lower bounds of express The sign of the coefficient, positive or negative; They are respectively represented as There are decision variables with positive coefficients and decision variables with negative coefficients. Assume that the number of decision variables with positive coefficients in the objective function is The total number of decision variables is ; They are respectively expressed as the upper and lower bounds of the decision variable coefficients in the objective function; They represent the range of expected values ​​of the upper bound of the objective function respectively; , is an elastic constraint, , and are elastic constraints, , and They represent the lower bound, central value, and upper fuzzy bound of the fuzzy number in the lower bound sub-model respectively; , is the intermediate variable, Indicates that the right side of the constraint is an interval number, Indicates There are decision variables with positive and negative coefficients.

[0171] is a control variable. Solving the upper model can obtain the upper limit of water consumption of water-using departments. , the minimum water consumption limit for water-using departments , and the upper limit of water satisfaction Furthermore, according to the upper and lower limits of water consumption and the water satisfaction model, a set of minimum and maximum values ​​of water satisfaction corresponding to the upper and lower limits of water consumption can be obtained.

[0172] When the objective function is maximized, the lower bound submodel is as follows:

[0173]

[0174] The constraints are:

[0175]

[0176]

[0177]

[0178]

[0179]

[0180]

[0181] in, They represent the range of expected values ​​of the lower bound of the objective function respectively; , is an elastic constraint; , is an intermediate variable; , and They are elastic constraints; , and They represent the lower bound, central value, and upper fuzzy bound of the fuzzy number of the upper bound submodel respectively; Represents the number of intervals on the right side of the constraint.

[0182] is a control variable. Solving the upper model can obtain the lower limit of water consumption of the water-using department. , the upper limit of water consumption of water-using departments , and the lower limit of water satisfaction .

[0183] In this scheme, the upper and lower limits of water consumption of each water-using department are finally solved. , and the corresponding upper and lower limits of water use satisfaction are .

[0184] Sub-step 2032, constructing a water use satisfaction interval according to the first maximum water use satisfaction, the first minimum water use satisfaction, the second maximum water use satisfaction and the second minimum water use satisfaction.

[0185] Step 204, according to a preset compromise planning algorithm, a compromise planning solution is obtained in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval and the water use satisfaction is within the water use satisfaction interval.

[0186] Among them, the water use satisfaction interval includes a first water use satisfaction interval consisting of a first minimum water use satisfaction and a second minimum water use satisfaction, and a second water use satisfaction interval consisting of a first maximum water use satisfaction and a second maximum water use satisfaction. The compromise planning solution includes a first compromise planning solution obtained based on the first water use satisfaction interval, and a second compromise planning solution obtained based on the second water use satisfaction interval.

[0187] In one embodiment, the preset compromise planning algorithm includes multiple iterative processing processes, and step 204 may include the following sub-steps:

[0188] Sub-step 2041, in the current iterative processing process, the total power generation evaluation value and water use satisfaction when the water levels of the cascade reservoirs are the same are taken as the parameters to be debugged, the minimum intermediate parameter is taken as the goal, the total power generation evaluation value is in the total power generation evaluation value interval, the water use satisfaction is in the water use satisfaction interval, and the correlation between the total power generation evaluation value and the intermediate parameter satisfies the first preset correlation relationship, and the correlation between the water use satisfaction and the intermediate parameter satisfies the second preset correlation relationship as constraints, the parameters to be debugged are optimized to obtain the optimized parameters.

[0189] Among them, in sub-step 2041, the first preset association relationship includes: the first difference between the total power generation evaluation value and the lower limit of the total power generation evaluation value interval, and the product of the ratio of the first weight value and the lower limit of the total power generation evaluation value interval is less than or equal to the intermediate parameter.

[0190] Among them, in sub-step 2041, the second preset association relationship includes: the product of the second difference between the water use satisfaction and the lower limit of the water use satisfaction interval, and the ratio of the second weight value and the lower limit of the water use satisfaction interval, is less than or equal to the intermediate parameter.

[0191] The first weight value is a weight value obtained according to the current number of iterations and the preset total number of iterations. The sum of the second weight value and the first weight value is equal to the preset value. For example, the sum of the second weight value and the first weight value is equal to 1.

[0192] Sub-step 2042, when the current number of iterations reaches the preset total number of iterations, the iteration is stopped, and a compromise planning solution for the cascade reservoirs is obtained based on multiple optimization parameters obtained through multiple iterations.

[0193] One iteration process has one optimization parameter, and one optimization parameter includes water use satisfaction and total power generation evaluation value.

[0194] For example, sub-step 2042 may include the following sub-steps:

[0195] Sub-step A1, for each optimization parameter, according to the preset total power generation evaluation value score calculation model, obtain the total power generation evaluation value score of the total power generation evaluation value in the optimization parameter, and according to the preset water use satisfaction score calculation model, obtain the water use satisfaction score of the water use satisfaction in the optimization parameter.

[0196] For example, in sub-step A1, obtaining the total power generation evaluation value score of the total power generation in the optimization parameters according to the preset total power generation evaluation value score calculation model may include the following sub-steps:

[0197] Sub-step F1, obtaining a third difference between an upper limit value of a total power generation evaluation value interval and the total power generation evaluation value, and a fourth difference between an upper limit value and a lower limit value of a total power generation evaluation value interval.

[0198] For example, refer to Figure 4 The upper limit of the total power generation evaluation value interval is .

[0199] Sub-step F2, determining the ratio of the third difference to the fourth difference as the total power generation evaluation value score.

[0200] For example, in sub-step A1, according to a preset water use satisfaction score calculation model, the water use satisfaction score of the water use satisfaction in the optimization parameter is obtained, including:

[0201] Sub-step M1, obtaining the fifth difference between the upper limit value of the water use satisfaction interval and the water use satisfaction, and the sixth difference between the upper limit value and the lower limit value of the water use satisfaction interval.

[0202] For example, refer to Figure 4 When solving the first compromise planning solution, the upper limit of the water use satisfaction interval is The lower limit of the water satisfaction interval is ; Among them, the first compromise planning solution is Figure 4 The compromise planning solution on the left side of the figure. For example, when solving the second compromise planning solution, the upper limit of the water satisfaction interval is The lower limit of the water satisfaction interval is ; Among them, the second compromise planning solution is Figure 4 The compromise planning solution on the right side.

[0203] Sub-step M2, determining the ratio of the fifth difference to the sixth difference as the total water consumption satisfaction score.

[0204] It should be noted that when solving the first compromise planning solution and the second compromise planning solution, the total water consumption satisfaction value can be obtained through the methods of step M1 and step M2.

[0205] Sub-step A2, for each optimization parameter, obtain the minimum score between the total power generation evaluation value score and the water use satisfaction score.

[0206] Specifically, the optimization parameters obtained in each iteration include a total power generation evaluation value and a water use satisfaction score, and the total power generation evaluation value has a total power generation evaluation value score, and the water use satisfaction score has a water use satisfaction score. The total power generation evaluation value score and the water use satisfaction score are compared to obtain the minimum score between the two.

[0207] Sub-step A3, obtaining a target score from multiple minimum scores of multiple optimization parameters.

[0208] Among them, one optimization parameter has a corresponding minimum score, and the target score is greater than other minimum scores. That is, the target score is the maximum value among multiple minimum scores.

[0209] Sub-step A4, determining the optimization parameters corresponding to the target scores as the compromise planning solution of the cascade reservoirs.

[0210] The optimization parameters include the total power generation evaluation value and the water use satisfaction level, and the compromise planning solution corresponding to the optimization parameters also includes the total power generation evaluation value and the water use satisfaction level.

[0211] Specifically, during the processing, based on the first water use satisfaction interval composed of the first minimum water use satisfaction and the second minimum water use satisfaction, a first compromise planning solution is obtained through steps A1 to sub-step A4; based on the second water use satisfaction interval composed of the first maximum water use satisfaction and the second maximum water use satisfaction, a second compromise planning solution is obtained through steps A1 to sub-step A4.

[0212] Step 205, obtaining a total power generation evaluation value of the cascade reservoirs equal to an upper limit value of the total power generation evaluation value interval, and a water use satisfaction level of the cascade reservoirs equal to a first intermediate value of an average value of a first minimum water use satisfaction level and a first maximum water use satisfaction level.

[0213] For example, refer to Figure 4 , construct a coordinate system with the total power generation evaluation value as the vertical axis and the water use satisfaction as the horizontal axis. The first intermediate value is ( , )and( ), where , and They are respectively the upper limit of the total power generation evaluation value interval, the first minimum water use satisfaction and the first maximum water use satisfaction.

[0214] Step 206, obtaining a total power generation evaluation value of the cascade reservoirs equal to the lower limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs equal to the second middle value of the average of the second minimum water use satisfaction and the second maximum water use satisfaction.

[0215] For example, refer to Figure 4 , the second intermediate value is ( , )and( , ), where ， and They are the lower limit of the total power generation evaluation value interval, the second minimum water use satisfaction rate and the second maximum water use satisfaction rate respectively.

[0216] Step 207, obtaining a final decision solution based on the compromise planning solution, the first intermediate value and the second intermediate value, and determining the total power generation evaluation value corresponding to the final decision solution as the target total power generation evaluation value of the cascade reservoir, and obtaining the target water level corresponding to the target total power generation, so as to adjust the cascade reservoir according to the target water level.

[0217] Among them, the water use satisfaction interval includes a first water use satisfaction interval consisting of a first minimum water use satisfaction and a second minimum water use satisfaction, and a second water use satisfaction interval consisting of a first maximum water use satisfaction and a second maximum water use satisfaction. The compromise planning solution includes a first compromise planning solution obtained based on the first water use satisfaction interval, and a second compromise planning solution obtained based on the second water use satisfaction interval.

[0218] In one embodiment, step 207 may include the following sub-steps:

[0219] Sub-step 2071, in a coordinate system with the water use satisfaction of the cascade reservoirs as the horizontal coordinate and the total power generation evaluation value of the cascade reservoirs as the vertical coordinate, connect the coordinates of the first compromise planning solution in the coordinate system and the coordinates of the second compromise planning solution in the coordinate system to obtain a first connecting line.

[0220] For example, refer to Figure 4 , connecting the two compromise planning solutions in Figure 4 The coordinates in the coordinate system shown are used to obtain the first connecting line.

[0221] Sub-step 2072, connecting the coordinates of the first intermediate value in the coordinate system and the coordinates of the second intermediate value in the coordinate system to obtain a second connecting line.

[0222] For example, refer to Figure 4 , connect the two intermediate values ​​in Figure 4 The coordinates in the coordinate system shown are used to obtain the second connecting line.

[0223] Sub-step 2073, obtaining the intersection point of the first connecting line and the second connecting line, and determining the intersection point as the final decision solution.

[0224] Among them, the first compromise planning solution includes the first total power generation and the first water use satisfaction; the second compromise planning solution includes the second total power generation and the second water use satisfaction; the first intermediate value includes the upper limit value of the first total power generation evaluation value interval, and the average value of the first minimum water use satisfaction and the first maximum water use satisfaction; the second intermediate value includes the lower upper limit value of the first total power generation evaluation value interval, and the average value of the second minimum water use satisfaction and the second maximum water use satisfaction.

[0225] In an embodiment of the present application, the maximum total power generation evaluation value of the hydropower station is taken as the goal, and according to preset constraints and genetic algorithms, the total power generation evaluation value interval of the cascade reservoirs within the inflow range is obtained, and the water use satisfaction interval is constructed through a type-2 fuzzy algorithm. With the total power generation evaluation value of the cascade reservoirs being in the total power generation evaluation value interval and the water use satisfaction of the water user being in the water use satisfaction interval as constraints, the target water level of the cascade reservoirs is obtained through a preset compromise planning algorithm, so as to adjust the water level of the cascade reservoirs according to the target water level.

[0226] The inflow of the reservoir is uncertain. Based on the type-two fuzzy algorithm, the water use satisfaction interval is obtained, and the water use satisfaction interval can reflect the uncertainty of the inflow. With the water use satisfaction interval as one of the constraints, through the preset compromise planning algorithm, the compromise planning solution in which the total power generation evaluation value of the cascade reservoir is in the total power generation evaluation value interval and the water use satisfaction is in the water use satisfaction interval is obtained. The total power generation evaluation value of the cascade reservoir is obtained to be equal to the upper limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoir is equal to the first intermediate value of the average value of the first minimum water use satisfaction and the first maximum water use satisfaction. The total power generation evaluation value of the cascade reservoir is obtained to be equal to the lower limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoir is equal to the second intermediate value of the average value of the second minimum water use satisfaction and the second maximum water use satisfaction. The final decision solution is obtained according to the compromise planning solution, the first intermediate value and the second intermediate value, and the inflow corresponding to the final decision solution is determined as the target water level of the cascade reservoir. The target water level is a target water level that meets the power generation benefit demand and the water use benefit demand and can reflect the uncertainty of the inflow. Based on the target water level, the reservoir can be accurately allocated.

[0227] Reference Figure 4 , we can get the objective function as an irregular trapezoid, and the four corner points of the irregular trapezoid are: .

[0228] Since the interval optimization model of cascade reservoirs only considers the uncertainty of water inflow, its target solution is a fixed interval value, while the type II fuzzy interval optimization model of water use unit considers multiple uncertainties, so its solution is not only affected by the reservoir results, but also constrained by other variables. According to the solution range, the Pareto solution of the lower and upper boundaries is obtained, and then the compromise planning is used to obtain the solution in the upper and lower boundaries, and the first straight line is determined according to the two solutions. The middle value of the upper and lower boundary solutions of the interval optimization model of cascade reservoirs is taken, and the second straight line is obtained by connecting the two middle values, and the point where the two straight lines intersect is the final objective function solution.

[0229] Let's solve ( ， )and （ ， ） Taking the compromise planning solution on the line of as an example, the method of obtaining the compromise planning solution is illustrated. Figure 5 , the method may include the following steps:

[0230] Step S1, obtaining an upper limit value, a lower limit value, a first minimum water use satisfaction degree, and a second minimum water use satisfaction degree of a total power generation evaluation value interval.

[0231] It should be noted that when obtaining the first compromise planning solution ( Figure 4 The curve on the left side) is processed based on the upper limit and lower limit of the total power generation evaluation value interval, the first minimum water use satisfaction and the second minimum water use satisfaction, and the subsequent steps S2 to S10. When obtaining the second compromise planning solution ( Figure 4 The first minimum water use satisfaction level and the second minimum water use satisfaction level in step S1 need to be replaced by the first maximum water use satisfaction level and the second maximum water use satisfaction level.

[0232] Step S2: Set the preset maximum number of iterations and initialize the number of iterations =1.

[0233] Among them, the maximum number of iterations Can be set according to user needs.

[0234] Step S3, according to the current number of iterations and the maximum number of iterations , obtain the first weight value and the second weight value.

[0235] Specifically, the first weight value is for:

[0236]

[0237] in, is the number of iterations of the current iteration, is the preset maximum number of iterations. Among them, the second weight value is for:

[0238]

[0239] That is, the sum of the second weight value and the first weight value is equal to the preset value 1, that is:

[0240]

[0241] Step S4, with the minimum intermediate parameter as the goal, with the correlation between the total power generation evaluation value and the intermediate parameter satisfying the first preset correlation relationship, and the correlation between the water use satisfaction and the intermediate parameter satisfying the second preset correlation relationship as constraints, optimize the parameters to be debugged and obtain the optimized parameters; the optimized parameters include the water use satisfaction and the total power generation evaluation value; the first preset correlation relationship is related to the first weight value, and the second preset correlation relationship is related to the second weight value.

[0242] Among them, the first preset association relationship is:

[0243]

[0244] in, is the intermediate parameter, Characterize the Chebyshev distance. and They are the total power generation evaluation value and the lower limit of the total power generation evaluation value range respectively.

[0245] Among them, the second preset association relationship is:

[0246]

[0247] in, and They are water use satisfaction and the first minimum water use satisfaction, respectively.

[0248] The goal is to minimize the intermediate parameters, and the corresponding objective function is: .in, is the objective function value.

[0249] Step S5, determine the current number of iterations p Is it greater than or equal to the maximum number of iterations? P If yes, go to step S7, otherwise go to step S6.

[0250] Current iteration number p Greater than or equal to the maximum number of iterations P , indicating that the number of iterations has reached the upper limit and the iteration can be terminated.

[0251] Step S6, update the number of iterations so that p=p+1 .

[0252] exist p Less than P If , it means that the iteration stop condition is not met, then the current iteration number is increased by one and the next iteration is entered.

[0253] Step S7, obtaining the Pareto frontier solution of water use satisfaction and total power generation evaluation value.

[0254] Get thep The total power generation evaluation value of the iteration and p Water satisfaction of the iteration Specifically, according to step S1 to step S5, after obtaining the optimization parameters of each iteration, the Pareto frontier solutions of water use satisfaction and total power generation evaluation values ​​in the optimization parameters are obtained according to multiple optimization parameters of multiple iterations.

[0255] Furthermore, the fuzzy decision method is used to calculate the satisfaction of different objective functions with the Pareto frontier solution, and the best compromise solution in the Pareto frontier solution is obtained. , the calculation method is:

[0256]

[0257] in, For the The objective function The second planning problem (i.e., Iterations) score; The objective functions are The minimum and maximum values ​​of the Pareto solution; For the The objective function p The objective function value of the sub-programming problem.

[0258] Step S8, respectively calculating the water consumption satisfaction score and the total power generation evaluation value score in the two groups of Pareto frontier solutions.

[0259] Specifically, the best compromise solution for the Pareto frontier solution for:

[0260]

[0261] Among them, the best compromise solution of the frontier solution is equivalent to the frontier solution score.

[0262] Step S9, obtaining the minimum value of the water consumption satisfaction score and the total power generation evaluation value score in each iteration, and then obtaining the maximum value of the score from multiple minimum values ​​of multiple iterations.

[0263] Specifically, the minimum value of the total power generation evaluation value score and the total power generation evaluation value score in each iteration is obtained by the following method:

[0264] =min( , )

[0265] in, and Respectively represent The total power generation evaluation value score and the total power generation evaluation value score in the Pareto front solution obtained in the iteration.

[0266] Get the maximum value of the score by the following method :

[0267] =max( , )

[0268] in, , Respectively represent the first iteration, the second iteration, and the The minimum score of the iterations.

[0269] Step S10, determining the optimization parameter corresponding to the maximum score as the compromise planning solution of the cascade reservoirs.

[0270] The patent of this embodiment mainly includes the establishment and solution of the interval optimization model of cascade reservoirs, the establishment and solution of the type II fuzzy interval optimization model of water use units, and the research on decision-making schemes based on compromise planning, which provides a systematic method for water resources management and hydropower station operation, helps to optimize water resources utilization and power production efficiency, and improve the overall benefits of the system. This embodiment breaks through the limitations of a single system and provides an optimization scheme that comprehensively considers multiple reservoirs and multiple water use units, effectively responding to complex water resources management and power production challenges. The purpose of this embodiment is to provide an optimization scheme that comprehensively considers multiple reservoirs and water use units to achieve the maximum benefits of water resources management and power production, especially in dealing with inflow uncertainty and optimizing water use benefits. It has outstanding application significance. The key point of this embodiment is to maximize the power generation benefits of the cascade reservoir interval optimization model and deal with uncertainty, as well as maximize the water use benefits through the type II fuzzy interval optimization model.

[0271] refer to Figure 6 , which shows a type-II fuzzy cascade reservoir allocation device provided in an embodiment of the present application, the cascade reservoir includes at least two connected reservoirs, and the device 30 includes:

[0272] The first acquisition module 301 is used to obtain the total power generation evaluation value interval of the cascade reservoir within a preset inflow flow interval according to the pre-built total power generation evaluation value calculation model; the preset inflow flow interval includes a minimum inflow flow and a maximum inflow flow;

[0273] The second acquisition module 302 is used to obtain the water satisfaction interval by using a type-II fuzzy algorithm with the goal of maximizing the water satisfaction of the water users, with the water consumption of each water user being within the corresponding preset water consumption range, and with the constraint that the total water consumption of each water user does not exceed the sum of the local available water and the reservoir discharge flow; the water user is the user who is provided with water through the river connected to the cascade reservoirs;

[0274] The third acquisition module 303 is used to obtain the target total power generation evaluation value of the cascade reservoirs and the target water level corresponding to the target total power generation evaluation value through a preset compromise planning algorithm, based on the constraints that the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval and the water use satisfaction of the water user is within the water use satisfaction interval, so as to adjust the cascade reservoirs according to the target water level.

[0275] For example, the second acquisition module 302 may include:

[0276] The first acquisition submodule is used to obtain the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow through a type-II fuzzy algorithm;

[0277] A submodule is constructed to construct a water use satisfaction interval according to the first maximum water use satisfaction, the first minimum water use satisfaction, the second maximum water use satisfaction and the second minimum water use satisfaction.

[0278] Optionally, the first acquisition module 301 may include:

[0279] The second acquisition submodule is used to take the maximum total power generation evaluation value of the hydropower station in the cascade reservoirs as the goal, according to the preset constraints and the genetic algorithm, and take the water level as the adjustment parameter to respectively obtain the first maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the maximum inflow;

[0280] The first construction submodule is used to construct a total power generation evaluation value interval with the first maximum total power generation evaluation value as the lower limit value and the second maximum total power generation as the evaluation value upper limit value.

[0281] Optionally, the preset constraints include at least one of the following: the reservoir capacity of the reservoir in adjacent time periods satisfies the water balance constraint, the inflow flow between two adjacent reservoirs satisfies the hydraulic connection constraint between the cascade hydropower stations, the water level of each reservoir is within a preset water level range, the power generation flow of each reservoir is within a preset power generation flow range, and the hydropower station output of each hydropower station is within a preset output range.

[0282] Optionally, the third acquisition module 303 may include:

[0283] The third acquisition submodule is used to obtain a compromise planning solution in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval and the water use satisfaction is within the water use satisfaction interval according to a preset compromise planning algorithm;

[0284] A fourth acquisition submodule is used to obtain a total power generation of the cascade reservoirs equal to an upper limit of the total power generation evaluation value interval, and a water use satisfaction of the cascade reservoirs equal to a first intermediate value of an average value of a first minimum water use satisfaction and a first maximum water use satisfaction;

[0285] A fifth acquisition submodule is used to obtain a second intermediate value in which the total power generation of the cascade reservoirs is equal to the lower limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs is equal to the second minimum water use satisfaction and the second maximum water use satisfaction average;

[0286] The first determination submodule is used to obtain a final decision solution according to the compromise planning solution, the first intermediate value and the second intermediate value, and determine the water level corresponding to the final decision solution as the target water level of the cascade reservoir; wherein the water use satisfaction interval includes a first water use satisfaction interval consisting of a first minimum water use satisfaction and a second minimum water use satisfaction, and a second water use satisfaction interval consisting of a first maximum water use satisfaction and a second maximum water use satisfaction, and the compromise planning solution includes a first compromise planning solution obtained based on the first water use satisfaction interval, and a second compromise planning solution obtained based on the second water use satisfaction interval.

[0287] Optionally, the first determining submodule may include:

[0288] A first acquisition unit is used to connect the coordinates of the first compromise planning solution in the coordinate system and the coordinates of the second compromise planning solution in the coordinate system in a coordinate system with the water use satisfaction of the cascade reservoirs as the horizontal coordinate and the total power generation evaluation value of the cascade reservoirs as the vertical coordinate to obtain a first connecting line;

[0289] A second acquisition unit, used to connect the coordinates of the first intermediate value in the coordinate system and the coordinates of the second intermediate value in the coordinate system to obtain a second connection line;

[0290] The third acquisition unit is used to obtain the intersection of the first connecting line and the second connecting line, and determine the intersection as the final decision solution; wherein the first compromise planning solution includes the first total power generation evaluation value and the first water use satisfaction; the second compromise planning solution includes the second total power generation evaluation value and the second water use satisfaction; the first intermediate value includes the upper limit value of the first total power generation evaluation value interval, and the average value of the first minimum water use satisfaction and the first maximum water use satisfaction; the second intermediate value includes the lower limit value of the first total power generation evaluation value interval, and the average value of the second minimum water use satisfaction and the second maximum water use satisfaction.

[0291] Optionally, the preset compromise planning algorithm includes multiple iterative processing processes, and the second acquisition submodule may include:

[0292] The fourth acquisition unit is used to optimize the parameters to be debugged in the current iterative processing process, taking the total power generation evaluation value and the water use satisfaction when the water levels of the cascade reservoirs are the same as the parameters to be debugged, taking the minimum intermediate parameter as the goal, taking the total power generation evaluation value being in the total power generation evaluation value interval, the water use satisfaction being in the water use satisfaction interval, and the association relationship between the total power generation evaluation value and the intermediate parameter satisfying the first preset association relationship, and the association relationship between the water use satisfaction and the intermediate parameter satisfying the second preset association relationship as constraints, to obtain the optimized parameters;

[0293] The fifth acquisition unit is used to stop the iteration when the current number of iterations reaches the preset total number of iterations, and obtain the compromise planning solution of the cascade reservoirs according to multiple optimization parameters obtained through multiple iterations; one iteration has one optimization parameter.

[0294] Optionally, the first preset association relationship includes: the first preset association relationship includes: the first difference between the total power generation evaluation value and the lower limit of the total power generation evaluation value interval, and the product of the first weight value and the ratio of the lower limit of the total power generation evaluation value interval, is less than or equal to the intermediate parameter; the first weight value is a weight value obtained based on the current number of iterations and the preset total number of iterations; the second preset association relationship includes: the second difference between the water use satisfaction value and the lower limit of the water use satisfaction interval, and the product of the second weight value and the ratio of the lower limit of the water use satisfaction interval, is less than or equal to the intermediate parameter; the sum of the second weight value and the first weight value is equal to the preset value.

[0295] Optionally, the fifth acquiring unit may include:

[0296] A first acquisition subunit is used to obtain, for each optimization parameter, a total power generation evaluation value score of the total power generation evaluation value in the optimization parameter according to a preset total power generation evaluation value score calculation model, and obtain a water use satisfaction score of the water use satisfaction in the optimization parameter according to a preset water use satisfaction score calculation model;

[0297] The second acquisition subunit is used to obtain the minimum score of the total power generation evaluation value score and the water use satisfaction score for each optimization parameter;

[0298] A third acquisition subunit is used to acquire a target score from multiple minimum scores of multiple optimization parameters; one optimization parameter has a corresponding minimum score, and the target score is greater than other minimum scores;

[0299] The first determination subunit is used to determine the optimization parameters corresponding to the target score as a compromise planning solution for the cascade reservoirs.

[0300] Optionally, the first acquisition subunit may include:

[0301] A fourth acquisition subunit, used to acquire a third difference between an upper limit value of a total power generation evaluation value interval and the total power generation evaluation value, and a fourth difference between an upper limit value and a lower limit value of the total power generation evaluation value interval;

[0302] A second determining subunit is used to determine the ratio of the third difference to the fourth difference as an evaluation value score;

[0303] Optionally, the first acquiring subunit may further include:

[0304] A fifth acquisition subunit, used to acquire a fifth difference between an upper limit value of the water use satisfaction interval and the water use satisfaction interval, and a sixth difference between an upper limit value of the water use satisfaction interval and a lower limit value;

[0305] The sixth acquisition subunit is used to determine the ratio of the fifth difference value to the sixth difference value as the water use satisfaction score.

[0306] In this embodiment, the inflow of the reservoir is uncertain, and the water use satisfaction interval is obtained based on the type-two fuzzy algorithm. The water use satisfaction interval can reflect the uncertainty of the inflow, and correspondingly, it can also reflect the uncertainty of the inflow. With the water use satisfaction interval as one of the constraints, through the preset compromise planning algorithm, the target water level that meets the power generation benefit requirements and the water use benefit requirements and can reflect the uncertainty of the inflow can be obtained.

[0307] Figure 7 4 is a block diagram of an electronic device 400 according to an exemplary embodiment. For example, the electronic device 400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0308] Reference Figure 7 , the electronic device 400 may include one or more of the following components: a first processing component 402 , a first memory 404 , a first power component 406 , a multimedia component 408 , an audio component 410 , an input / output (I / O) interface 412 , a sensor component 414 , and a communication component 416 .

[0309] The first processing component 402 generally controls the overall operation of the electronic device 400, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The first processing component 402 may include one or more processors 420 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the first processing component 402 may include one or more modules to facilitate the interaction between the first processing component 402 and other components. For example, the first processing component 402 may include a multimedia module to facilitate the interaction between the multimedia component 408 and the first processing component 402.

[0310] The first memory 404 is used to store various types of data to support operations on the electronic device 400. Examples of such data include instructions for any application or method operating on the electronic device 400, contact data, phone book data, messages, pictures, multimedia, etc. The first memory 404 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0311] The first power source assembly 406 provides power to various components of the electronic device 400. The first power source assembly 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 400.

[0312] The multimedia component 408 includes a screen that provides an output interface between the electronic device 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the demarcation of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 408 includes a front camera and / or a rear camera. When the electronic device 400 is in an operating mode, such as a shooting mode or a multimedia mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0313] The audio component 410 is used to output and / or input audio signals. For example, the audio component 410 includes a microphone (MIC), and when the electronic device 400 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is used to receive an external audio signal. The received audio signal can be further stored in the first memory 404 or sent via the communication component 416. In some embodiments, the audio component 410 also includes a speaker for outputting audio signals.

[0314] The I / O interface 412 provides an interface between the first processing component 402 and a peripheral interface module, which may be a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0315] The sensor assembly 414 includes one or more sensors for providing various aspects of status assessment for the electronic device 400. For example, the sensor assembly 414 can detect the open / closed state of the electronic device 400, the relative positioning of components, such as the display and keypad of the electronic device 400, and the sensor assembly 414 can also detect the position change of the electronic device 400 or a component of the electronic device 400, the presence or absence of user contact with the electronic device 400, the orientation or acceleration / deceleration of the electronic device 400, and the temperature change of the electronic device 400. The sensor assembly 414 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 414 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 414 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0316] The communication component 416 is used to facilitate wired or wireless communication between the electronic device 400 and other devices. The electronic device 400 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G or 5G), or a combination thereof. In an exemplary embodiment, the communication component 416 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 416 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0317] In an exemplary embodiment, the electronic device 400 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to implement a type-II fuzzy-based cascade reservoir allocation method provided in an embodiment of the present application.

[0318] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a first memory 404 including instructions, and the instructions can be executed by a processor 420 of an electronic device 400 to perform the above method. For example, the non-transitory storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0319] Figure 8 is a block diagram of an electronic device 500 according to an exemplary embodiment. For example, the electronic device 500 may be provided as a server. Figure 8 The electronic device 500 includes a second processing component 522, which further includes one or more processors, and a memory resource represented by a second memory 532, for storing instructions executable by the second processing component 522, such as an application. The application stored in the second memory 532 may include one or more modules, each corresponding to a set of instructions. In addition, the second processing component 522 is configured to execute instructions to execute a type-two fuzzy-based cascade reservoir allocation method provided in an embodiment of the present application.

[0320] The electronic device 500 may further include a second power supply component 526 configured to perform power management of the electronic device 500, a wired or wireless network interface 550 configured to connect the electronic device 500 to a network, and an input / output (I / O) interface 558. The electronic device 500 may operate based on an operating system stored in the second memory 532, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

[0321] An embodiment of the present application also provides a computer program product, including a computer program, which implements a type-II fuzzy-based cascade reservoir allocation method when the computer program is executed by a processor.

[0322] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the application disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0323] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

[0324] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0325] The above is a detailed introduction to the type-II fuzzy-based cascade reservoir allocation method and device provided by the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A cascade reservoir allocation method based on type II fuzzy, characterized in that: The cascade reservoirs include at least two reservoirs; the method includes: According to the pre-constructed total power generation evaluation value calculation model, the total power generation evaluation value interval of the cascade reservoir within the preset inflow flow interval is obtained; the preset inflow flow interval includes a minimum inflow flow and a maximum inflow flow; The goal is to maximize the water satisfaction of water users, and the water consumption of each water user is within the corresponding preset water consumption range, and the total water consumption of each water user does not exceed the sum of the local available water and the reservoir discharge flow. The water satisfaction interval is obtained through a type-II fuzzy algorithm; the water user is an object that is provided with water through the river connected to the cascade reservoirs; Taking the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water user being within the water use satisfaction interval as constraints, a preset compromise planning algorithm is used to obtain a target total power generation evaluation value of the cascade reservoirs, and a target water level corresponding to the target total power generation evaluation value is obtained, so as to adjust the cascade reservoirs according to the target water level; The method of obtaining the water satisfaction interval by using a type-II fuzzy algorithm includes: By using the type-II fuzzy algorithm, the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow are obtained; A water use satisfaction interval is constructed according to the first maximum water use satisfaction, the first minimum water use satisfaction, the second maximum water use satisfaction and the second minimum water use satisfaction.

2. The method according to claim 1, characterized in that According to the pre-built total power generation evaluation value calculation model, the total power generation evaluation value interval of the cascade reservoir within the preset inflow flow interval is obtained, including: Taking the maximum total power generation evaluation value of the hydropower station in the cascade reservoirs as the goal, according to the preset constraints and the genetic algorithm, taking the water level as the adjustment parameter, respectively obtaining the first maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum total power generation evaluation value when the inflow of the cascade reservoirs is equal to the maximum inflow; The total power generation evaluation value interval is constructed with the first maximum total power generation evaluation value as a lower limit value and the second maximum total power generation as an evaluation value upper limit value.

3. The method according to claim 2, characterized in that The method further comprises: According to the total power generation evaluation value calculation model, the total power generation evaluation value of the hydropower station in the cascade reservoirs is obtained; The total power generation evaluation value calculation model is: in, represents the total power generation evaluation value of the hydropower stations in the cascade reservoirs, For the The comprehensive output coefficient of a reservoir is For the The reservoir is The average power generation flow in the time period, For the The reservoir is The power generation head of a time period, The preset unit duration; is the total number of reservoirs, The total number of time periods.

4. The method according to claim 2, characterized in that: The preset constraints include at least one of the following: the reservoir capacity of the reservoir in adjacent time periods satisfies the water balance constraint, the inflow between two adjacent reservoirs satisfies the hydraulic connection constraint between cascade hydropower stations, the water level of each reservoir is within a preset water level range, the power generation flow of each reservoir is within a preset power generation flow range, and the hydropower station output of each hydropower station is within a preset output range.

5. The method according to claim 4, characterized in that The water balance constraint condition is: and Respectively The reservoir is time period and Storage capacity for a time period; Respectively The reservoir is The average inflow, average power generation flow and average water abandonment in each time period; The preset unit duration; The hydraulic connection constraints between the cascade hydropower stations are: in, For the The reservoir is Average inbound flow in a time period; For the The reservoir is The average power generation flow in a time period; For the The reservoir is The amount of water supplied during a period of time.

6. The method according to claim 1, characterized in that Taking the total power generation evaluation value of the cascade reservoirs as being within the total power generation evaluation value interval and the water use satisfaction of the water use object as being within the water use satisfaction interval as constraints, obtaining the target total power generation evaluation value of the cascade reservoirs through a preset compromise planning algorithm, and obtaining the target water level corresponding to the target total power generation evaluation value, including: According to the preset compromise planning algorithm, a compromise planning solution is obtained in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval, and the water use satisfaction is within the water use satisfaction interval; The total power generation of the cascade reservoirs is equal to the upper limit value of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs is equal to the first intermediate value of the average value of the first minimum water use satisfaction and the first maximum water use satisfaction; Obtaining that the total power generation of the cascade reservoirs is equal to the lower limit of the total power generation evaluation value interval, and the water use satisfaction of the cascade reservoirs is equal to the second middle value of the average value of the second minimum water use satisfaction and the second maximum water use satisfaction; According to the compromise planning solution, the first intermediate value and the second intermediate value, a final decision solution is obtained, and the water level corresponding to the final decision solution is determined as the target water level of the cascade reservoir; Among them, the water use satisfaction interval includes a first water use satisfaction interval formed by the first minimum water use satisfaction and the second minimum water use satisfaction, and a second water use satisfaction interval formed by the first maximum water use satisfaction and the second maximum water use satisfaction, and the compromise planning solution includes a first compromise planning solution obtained based on the first water use satisfaction interval, and a second compromise planning solution obtained based on the second water use satisfaction interval.

7. The method according to claim 6, characterized in that The obtaining a final decision solution according to the compromise planning solution, the first intermediate value, and the second intermediate value includes: In a coordinate system with the water use satisfaction of the cascade reservoirs as the horizontal coordinate and the total power generation evaluation value of the cascade reservoirs as the vertical coordinate, connecting the coordinates of the first compromise planning solution in the coordinate system and the coordinates of the second compromise planning solution in the coordinate system to obtain a first connecting line; Connecting the coordinates of the first intermediate value in the coordinate system and the coordinates of the second intermediate value in the coordinate system to obtain a second connecting line; Obtaining an intersection point of the first connecting line and the second connecting line, and determining the intersection point as a final decision solution; Among them, the first compromise planning solution includes a first total power generation evaluation value and a first water use satisfaction; the second compromise planning solution includes a second total power generation evaluation value and a second water use satisfaction; the first intermediate value includes an upper limit value of the first total power generation evaluation value interval, and an average value of the first minimum water use satisfaction and the first maximum water use satisfaction; the second intermediate value includes a lower limit value of the first total power generation evaluation value interval, and an average value of the second minimum water use satisfaction and the second maximum water use satisfaction.

8. The method according to claim 6, characterized in that The preset compromise planning algorithm includes multiple iterative processing processes. According to the preset compromise planning algorithm, a compromise planning solution is obtained in which the total power generation evaluation value of the cascade reservoirs is within the total power generation evaluation value interval and the water use satisfaction is within the water use satisfaction interval, including: In the current iterative processing process, the total power generation evaluation value and the water use satisfaction when the water levels of the cascade reservoirs are the same are taken as the parameters to be debugged, the minimum intermediate parameter is taken as the goal, the total power generation evaluation value is in the total power generation evaluation value interval, the water use satisfaction is in the water use satisfaction interval, and the association relationship between the total power generation evaluation value and the intermediate parameter satisfies the first preset association relationship, and the association relationship between the water use satisfaction and the intermediate parameter satisfies the second preset association relationship as constraints, the parameters to be debugged are optimized to obtain the optimized parameters; When the current number of iterations reaches the preset total number of iterations, the iteration is stopped, and a compromise planning solution of the cascade reservoirs is obtained according to multiple optimization parameters obtained through multiple iterations; one iteration has one optimization parameter.

9. The method according to claim 8, characterized in that The first preset association relationship includes: the product of the first difference between the total power generation evaluation value and the lower limit of the total power generation evaluation value interval and the ratio of the first weight value to the lower limit of the total power generation evaluation value interval is less than or equal to the intermediate parameter; the first weight value is a weight value obtained according to the current number of iterations and the preset total number of iterations; The second preset association relationship includes: the product of the second difference between the water use satisfaction and the lower limit of the water use satisfaction interval, and the ratio of the second weight value and the lower limit of the water use satisfaction interval, is less than or equal to the intermediate parameter; the sum of the second weight value and the first weight value is equal to the preset value.

10. The method according to claim 9, characterized in that The method of obtaining a compromise planning solution of the cascade reservoirs according to the multiple optimization parameters obtained through multiple iterative processes includes: For each of the optimization parameters, according to a preset total power generation evaluation value score calculation model, the total power generation evaluation value score of the total power generation evaluation value in the optimization parameter is obtained, and according to a preset water use satisfaction score calculation model, the water use satisfaction score of the water use satisfaction in the optimization parameter is obtained; For each of the optimization parameters, obtaining the minimum score of the total power generation evaluation value score and the water use satisfaction score; Obtaining a target score from multiple minimum scores of multiple optimization parameters; one optimization parameter has a corresponding minimum score, and the target score is greater than other minimum scores; The optimization parameters corresponding to the target scores are determined as the compromise planning solution of the cascade reservoirs.

11. The method according to claim 10, characterized in that According to a preset total power generation evaluation value score calculation model, obtaining the total power generation evaluation value score of the total power generation evaluation value in the optimization parameter includes: Obtaining a third difference between an upper limit value of a total power generation evaluation value interval and the total power generation evaluation value, and a fourth difference between an upper limit value and a lower limit value of the total power generation evaluation value interval; Determine the ratio of the third difference to the fourth difference as the total power generation evaluation value score; The step of obtaining the water satisfaction score of the water satisfaction score in the optimization parameter according to the preset water satisfaction score calculation model includes: Obtain a fifth difference between an upper limit value of a water use satisfaction interval and the water use satisfaction, and a sixth difference between an upper limit value and a lower limit value of the water use satisfaction interval; The ratio of the fifth difference to the sixth difference is determined as the water use satisfaction score.

12. The method according to claim 1, characterized in that The method further comprises: According to a water use satisfaction model, obtaining the water use satisfaction; The water use satisfaction model is: in, For water satisfaction, For the The first The water-using sector The water efficiency coefficient for each time period is For the The first The water-using sector Water consumption in a certain period of time; They are the total number of water-using units, the total number of water-using departments, and the total number of time periods.

13. The method according to claim 1, characterized in that Through the type-II fuzzy algorithm, the constraints for obtaining the water satisfaction interval also include: The water consumption of each water-using object satisfies the non-negative constraint of the variable; The non-negative constraint condition of the variables is: in, For the The first The water-using sector Water consumption during a period of time.

14. A cascade reservoir allocation device based on type II fuzzy, characterized in that: The cascade reservoirs include at least two reservoirs; the device includes: A first acquisition module is used to obtain a total power generation evaluation value interval of the cascade reservoir within a preset inflow flow interval according to a pre-constructed total power generation evaluation value calculation model; the preset inflow flow interval includes a minimum inflow flow and a maximum inflow flow; The second acquisition module is used to obtain the water satisfaction interval by using a type-II fuzzy algorithm with the goal of maximizing the water satisfaction of the water users, with the water consumption of each water user being within the corresponding preset water consumption range, and the total water consumption of each water user not exceeding the sum of the local available water and the reservoir discharge flow as a constraint; the water users are the objects that are provided with water through the river connected to the cascade reservoirs; A third acquisition module is used to obtain the target total power generation evaluation value of the cascade reservoirs and the target water level corresponding to the target total power generation evaluation value by a preset compromise planning algorithm, with the total power generation evaluation value of the cascade reservoirs being within the total power generation evaluation value interval and the water use satisfaction of the water use object being within the water use satisfaction interval as constraints, so as to adjust the cascade reservoirs according to the target water level; Wherein, the second acquisition module is further used for: By using the type-II fuzzy algorithm, the first maximum water use satisfaction and the first minimum water use satisfaction when the inflow of the cascade reservoirs is equal to the minimum inflow, and the second maximum water use satisfaction and the second minimum water use satisfaction when the inflow is equal to the maximum inflow are obtained; A water use satisfaction interval is constructed according to the first maximum water use satisfaction, the first minimum water use satisfaction, the second maximum water use satisfaction and the second minimum water use satisfaction.

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