Water resource optimization scheduling method based on multi-attribute coupling weight

Abstract

The invention relates to the technical field of water resource scheduling, in particular to a multi-attribute coupling weight-based water resource optimal scheduling method, which comprises the following steps of: establishing a water deficit weight coefficient coupling a time attribute, a space attribute and a water use object attribute, and taking the minimum water deficit of the total weight of the water use object and the maximum accumulated total water storage of all reservoirs as objective functions; and in consideration of related constraint conditions such as medium-and-long-term hydraulic engineering operation limitation, a medium-and-long-term regional water resource optimal scheduling model based on a multi-attribute coupling weight is constructed. According to the medium-and-long-term water resource scheduling scheme obtained by the method, the scheduling scheme in time preferentially guarantees the water demand in the nearby time period, but reserves the water quantity for the water demand in the farther time period; the consistency of water supply guarantee degrees of different water using objects is realized as far as possible through multi-water-source joint scheduling in space; in terms of water consumption object attributes, coordinated distribution of water resources among different types of water consumption objects in life, industry, agriculture and the like is considered under the condition of encountering ultra-dry incoming water.

Description

Technical Field

[0001] The present application relates to the technical field of water resource scheduling, and in particular to a water resource optimization scheduling method based on multi-attribute coupling weights. Background Art

[0002] Water resource dispatch is one of the main non-engineering measures to give full play to the operational benefits of water conservancy projects. Water resource dispatch refers to a control and application technology that formulates water supply strategies for each user based on the operation plan of water conservancy projects and aims to meet water demand as much as possible, under the premise of ensuring the safety of water conservancy projects within the system. With the construction of water system interconnection projects, the form of water resource dispatch has changed from single reservoir water supply dispatch to regional water resource dispatch with multiple water sources.

[0003] Compared with the water supply dispatch of a single reservoir, regional water resources dispatch is a joint water supply dispatch of multiple water sources and multiple water users. Multiple water sources are reflected in the number of water sources exceeding one and the types of water sources including various types of projects (water storage projects, water diversion projects, water lifting projects, etc.). Multiple water users are reflected in the number of water users exceeding one and the types of water users including various types (domestic water, industrial water, agricultural water, ecological water, etc.). Medium- and long-term water resources dispatch is a dispatch with a time scale of years or seasons. The purpose is to formulate water supply dispatch plans for each year or each month of each season. Medium- and long-term water resources dispatch needs to consider the medium- and long-term water inflow and project operation requirements of each water source, the medium- and long-term water demand and water use characteristics of each water user, and the coordination of water use between months.

[0004] How to scientifically and rationally formulate water allocation plans for each water user and each time period through the joint scheduling of multiple water sources to improve the security of regional water supply is one of the key issues in medium- and long-term regional water resource scheduling. Summary of the invention

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] According to a first aspect of the present invention, the present invention claims a method for optimizing water resource scheduling based on multi-attribute coupling weights, comprising:

[0007] Acquire multiple water-using objects, and establish a water resource allocation method based on the time scale, spatial scale, and water-using object category attributes according to the critical water shortage ratio coupling of the water-using objects;

[0008] Obtaining the water consumption of the water-using object in each period during the scheduling period, and building a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method;

[0009] The model constraints are set, and the water resource optimization scheduling model is solved by a linear programming method. The water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained according to the solution results.

[0010] Furthermore, the method of acquiring a plurality of water users and establishing a water resource allocation method based on the time scale, spatial scale, and water user category attributes according to the critical water shortage ratio of the water users may further include:

[0011] The water resource allocation method based on the time scale attribute is to set a critical water shortage ratio of the water user. When the real-time water shortage ratio of the water user is less than the critical water shortage ratio, the water user is in a mild water shortage.

[0012] When the real-time water shortage ratio of the water user is greater than the critical water shortage ratio, the water user is severely water-scarce;

[0013] The water resource allocation method based on spatial scale attributes is that when water shortage occurs, if water resources can be allocated, water will be supplied to the same type of water users at the same real-time water shortage ratio in the same period;

[0014] The water resource allocation method based on the category attributes of water users includes the classification of the importance of different types of water users;

[0015] When the water shortage is small and all water users can be considered to be slightly short of water, water users with high importance will be supplied as if they have no water shortage, and water users with low importance will be supplied as if they are slightly short of water.

[0016] When the water shortage is small and all water users exceed the mild water shortage level, the water users with high importance shall be classified according to the real-time water shortage ratio β i For water supply, water users of lower importance will be supplied as if they were in a state of severe water shortage.

[0017] Furthermore, the method of obtaining the water consumption of the water user in each period during the scheduling period and constructing a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method also includes:

[0018] Collect the water consumption of water users in each period during the scheduling period, and calculate the water shortage of a single water user in a single period;

[0019] According to the water shortage of the water use object in each period during the scheduling period, combined with the water resources in the time scale, space scale, and water use object category attributes, the water shortage weight coefficients of the coupled time attributes, space attributes, and water use object attributes are calculated respectively;

[0020] Calculate the weighted water shortage according to the water shortage of the water user in each period during the scheduling period and the water shortage weight coefficient;

[0021] According to the weighted water shortage of a single water user in a single period, the total weighted water shortage of all water users is obtained;

[0022] The cumulative total water storage capacity of all reservoirs is obtained according to the water supply of a single reservoir in a single period, and the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights is established.

[0023] Furthermore, the setting of model constraints, using a linear programming method to solve the water resources optimization scheduling model, and obtaining a water supply plan for each water source and a water use plan for each water user in each scheduling period according to the solution results, also includes:

[0024] The water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, and the linear programming method is used to solve the established medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights. According to the solution results, the water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained.

[0025] Furthermore, the collecting of water consumption of water users in each time period during the scheduling period and calculating the water shortage of a single water user in a single time period also includes:

[0026] The water shortage of a single water user in a single period is described by formula (1):

[0027] WD i,t =WN i,t -WU i,t (1)

[0028] Where WU i,t WN is the water consumption of the i-th water user in the t-th period; i,t is the water demand of the i-th water user in the t-th period; WD i,t is the water shortage of the ith water user in the tth period.

[0029] Furthermore, the water shortage weight coefficients of coupling time attributes, spatial attributes, and water use object attributes are calculated and obtained respectively according to the water shortage of the water use object in each period during the scheduling period, in combination with the water resources in the time scale, spatial scale, and water use object category attributes, and also include:

[0030] The water shortage weight coefficient w of water user i in period t i,t It is described as formula (2):

[0031]

[0032] Where T is the number of scheduling periods; α i is the importance coefficient of the i-th water user, α iThe value is an integer greater than or equal to 1. The more important the water user is, the higher the value of α. i The larger the value of β i is the critical water shortage ratio of the i-th water user; η is the time weight factor; λ is the influencing factor when the water shortage ratio is greater than the critical water shortage ratio.

[0033] Furthermore, the calculating of the weighted water shortage according to the water shortage of the water user in each time period during the scheduling period and the water shortage weight coefficient also includes:

[0034] According to the water shortage WD of the water user in each period during the scheduling period i,t and water shortage weight coefficient w i,t , calculate the weighted water deficit.

[0035] The weighted water shortage WD' of water user i in period t i,t It is described as formula (3):

[0036]

[0037] Furthermore, the method of obtaining the total weighted water shortage of all water users according to the weighted water shortage of a single water user in a single period of time also includes:

[0038] The total weighted water deficit FWD is described as formula (4):

[0039]

[0040] Where FWD is the target value of the system's cumulative weighted water shortage; M is the number of water users in the system; and T is the number of scheduling periods.

[0041] Furthermore, the method of obtaining the cumulative total water storage capacity of all reservoirs according to the water supply capacity of a single reservoir in a single period and establishing the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights also includes:

[0042] The total accumulated water storage capacity FV of all reservoirs is described as formula (5):

[0043]

[0044] Where N is the number of reservoirs in the system; V j,t is the storage capacity corresponding to the water level of the jth reservoir in the tth period;

[0045] The model objective function F is described as formula (6):

[0046] minF=γ1·FWD-γ2·FV(6)

[0047] Where F is the total objective function; γ1 is the target coefficient of the total weighted water shortage FWD; γ2 is the target coefficient of the cumulative total water storage capacity FV of all reservoirs, γ1>>γ2.

[0048] Furthermore, the water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, including:

[0049] Upper and lower limit constraints on reservoir capacity, reservoir outflow flow / sluice upper and lower limit overflow flow constraints, upper limit constraints on water consumption of water users, pipeline water supply constraints, water balance constraints for water users, water balance constraints for reclaimed water reuse units, reservoir inflow flow / sluice inflow flow balance constraints, reservoir water balance, and sluice water balance.

[0050] The present application relates to the technical field of water resource scheduling, and in particular to a method for optimizing water resource scheduling based on multi-attribute coupling weights. By establishing a water shortage weight coefficient that couples time attributes, spatial attributes, and water user attributes, with the minimum total weighted water shortage of water users and the maximum cumulative total water storage of all reservoirs as the objective function, and taking into account relevant constraints such as medium- and long-term water conservancy project operation restrictions, a medium- and long-term regional water resource optimization scheduling model based on multi-attribute coupling weights is constructed. The medium- and long-term water resource scheduling plan obtained by this method has a scheduling plan that gives priority to water demand in the near period in terms of time, but also reserves water for water demand in the distant period; in terms of space, through joint scheduling of multiple water sources, the consistency of water supply guarantee levels for different water users is achieved as much as possible; in terms of water user attributes, the coordinated allocation of water resources between different types of water users such as life, industry, and agriculture is considered in the case of extremely dry water. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 A workflow diagram of a water resources optimization scheduling method based on multi-attribute coupling weights as claimed in an embodiment of the present application;

[0052] Figure 2 This is a schematic diagram of the distribution of water shortage ratios of different types of water users in each month in a water resources optimization scheduling method based on multi-attribute coupling weights as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0053] 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 only 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.

[0054] The terms "first", "second" and "third" in this application are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications in the embodiments of the present application (such as up, down, left, right, front, back...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0055] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] Existing medium- and long-term regional water resource scheduling methods, such as the regional total water shortage minimum method and the total water shortage minimum method considering the importance of water users, have the following shortcomings in actual use:

[0057] The method of minimizing the total regional water shortage does not consider the importance of different types of water users (such as domestic water, industrial water, agricultural water, etc.) during the water resources scheduling process. It believes that the impact of water shortage on life, industry and agriculture is the same. Under the allocation criterion of minimizing water shortage, it may result in that water users with lower importance have not yet suffered from water shortage, while water users with higher importance have already suffered from water shortage, which is inconsistent with the actual situation.

[0058] The method of minimizing the total water shortage by considering the importance of water users reflects the order of water supply to different types of water users based on their importance during water resource scheduling, but does not consider the degree of acceptance of water shortage by different types of water users. In extreme water shortage situations, this scheduling method will result in no water shortage for water users with high importance, while complete water shortage for water users with low importance, thus losing the fairness of water resource scheduling.

[0059] In the process of water resources scheduling, the method of minimizing the total regional water shortage and the method of minimizing the total water shortage considering the importance of water users have not conducted in-depth research on the distribution of water resources on a time scale. When water shortage occurs, the shortage may be concentrated in one or several periods of time, and the water resources distribution in each period is unreasonable.

[0060] According to the first embodiment of the present invention, the present invention claims a method for optimizing water resource scheduling based on multi-attribute coupling weights, referring to Figure 1 ,include:

[0061] Acquire multiple water-using objects, and establish a water resource allocation method based on the time scale, spatial scale, and water-using object category attributes according to the critical water shortage ratio coupling of the water-using objects;

[0062] Obtaining the water consumption of the water-using object in each period during the scheduling period, and building a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method;

[0063] The model constraints are set, and the water resource optimization scheduling model is solved by a linear programming method. The water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained according to the solution results.

[0064] Furthermore, the method of acquiring a plurality of water users and establishing a water resource allocation method based on the time scale, spatial scale, and water user category attributes according to the critical water shortage ratio of the water users may further include:

[0065] The water resource allocation method based on the time scale attribute is to set a critical water shortage ratio of the water user. When the real-time water shortage ratio of the water user is less than the critical water shortage ratio, the water user is in a mild water shortage.

[0066] When the real-time water shortage ratio of the water user is greater than the critical water shortage ratio, the water user is in severe water shortage;

[0067] The water resource allocation method based on spatial scale attributes is that when water shortage occurs, if water resources can be allocated, water will be supplied to the same type of water users at the same real-time water shortage ratio in the same period;

[0068] The water resource allocation method based on the category attributes of water users includes the importance of different types of water users;

[0069] When the water shortage is small and all water users can be considered to be slightly short of water, water users with high importance will be supplied as if they have no water shortage, and water users with low importance will be supplied as if they are slightly short of water.

[0070] When the water shortage is small and all water users exceed the mild water shortage level, the water users with high importance shall be classified according to the real-time water shortage ratio β iFor water supply, water users of lower importance will be supplied as if they were in a state of severe water shortage.

[0071] Among them, in this embodiment, when the water shortage is small and each time period can be arranged without exceeding the critical water shortage ratio, the uncertainty of medium- and long-term water scheduling is adopted. Based on the principle of "use water first, and take into account the later period", water is supplied in the first several time periods as if there is no water shortage, and water is supplied in the next several time periods as if the critical water shortage ratio is not exceeded; when the water shortage is large and the average water shortage ratio of each time period will exceed the critical water shortage ratio, the uncertainty of medium- and long-term water scheduling is also taken into consideration. Based on the principle of "use water first, and take into account the later period", water is supplied in the first several time periods according to the critical water shortage ratio, and water is supplied according to the incoming water in the next several time periods.

[0072] Furthermore, the method of obtaining the water consumption of the water user in each period during the scheduling period and constructing a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method also includes:

[0073] Collect the water consumption of water users in each period during the scheduling period, and calculate the water shortage of a single water user in a single period;

[0074] According to the water shortage of the water use object in each period during the scheduling period, combined with the water resources in the time scale, space scale, and water use object category attributes, the water shortage weight coefficients of the coupled time attributes, space attributes, and water use object attributes are calculated respectively;

[0075] Calculate the weighted water shortage according to the water shortage of the water user in each period during the scheduling period and the water shortage weight coefficient;

[0076] According to the weighted water shortage of a single water user in a single period, the total weighted water shortage of all water users is obtained;

[0077] The cumulative total water storage capacity of all reservoirs is obtained according to the water supply of a single reservoir in a single period, and the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights is established.

[0078] Furthermore, the setting of model constraints, using a linear programming method to solve the water resources optimization scheduling model, and obtaining a water supply plan for each water source and a water use plan for each water user in each scheduling period according to the solution results, also includes:

[0079] The water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, and the linear programming method is used to solve the established medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights. According to the solution results, the water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained.

[0080] Furthermore, the collecting of water consumption of water users in each time period during the scheduling period and calculating the water shortage of a single water user in a single time period also includes:

[0081] The water shortage of a single water user in a single period is described by formula (1):

[0082] WD i,t =WN i,t -WU i,t (1)

[0083] Where WU i,t WN is the water consumption of the ith user in the tth period; i,t is the water demand of the i-th water user in the t-th period; WD i,t is the water shortage of the ith water user in the tth period.

[0084] Furthermore, the water shortage weight coefficients of coupling time attributes, spatial attributes, and water use object attributes are calculated and obtained respectively according to the water shortage of the water use object in each period during the scheduling period, in combination with the water resources in the time scale, spatial scale, and water use object category attributes, and also include:

[0085] The water shortage weight coefficient w of water user i in period t i,t It is described as formula (2):

[0086]

[0087] Where T is the number of scheduling periods; α i is the importance coefficient of the i-th water user, α i The value is an integer greater than or equal to 1. The more important the water user is, the higher the value of α. i The larger the value of β i is the critical water shortage ratio of the i-th water user; η is the time weight factor; λ is the influencing factor when the water shortage ratio is greater than the critical water shortage ratio.

[0088] Furthermore, the calculating of the weighted water shortage according to the water shortage of the water user in each time period during the scheduling period and the water shortage weight coefficient also includes:

[0089] According to the water shortage WD of the water user in each period during the scheduling period i,t and water shortage weight coefficient w i,t , calculate the weighted water deficit.

[0090] The weighted water shortage WD' of water user i in period t i,t It is described as formula (3):

[0091]

[0092] Furthermore, the method of obtaining the total weighted water shortage of all water users according to the weighted water shortage of a single water user in a single period of time also includes:

[0093] The total weighted water deficit FWD is described as formula (4):

[0094]

[0095] Where FWD is the target value of the system's cumulative weighted water shortage; M is the number of water users in the system; and T is the number of scheduling periods.

[0096] Furthermore, the method of obtaining the cumulative total water storage capacity of all reservoirs according to the water supply capacity of a single reservoir in a single period and establishing the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights also includes:

[0097] The total accumulated water storage capacity FV of all reservoirs is described as formula (5):

[0098]

[0099] Where N is the number of reservoirs in the system; V j,t is the storage capacity corresponding to the water level of the jth reservoir in the tth period;

[0100] The model objective function F is described as formula (6):

[0101] minF=γ1·FWD-γ2·FV(6)

[0102] Where F is the total objective function; γ1 is the target coefficient of the total weighted water shortage FWD; γ2 is the target coefficient of the cumulative total water storage capacity FV of all reservoirs, γ1>>γ2.

[0103] Furthermore, the water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, including:

[0104] Upper and lower limit constraints on reservoir capacity, reservoir outflow flow / sluice upper and lower limit overflow flow constraints, upper limit constraints on water consumption of water users, pipeline water supply constraints, water balance constraints for water users, water balance constraints for reclaimed water reuse units, reservoir inflow flow / sluice inflow flow balance constraints, reservoir water balance constraints, and sluice water balance constraints.

[0105] In this embodiment, the specific contents of each constraint condition are as follows:

[0106] Reservoir capacity upper and lower limit constraints:

[0107]

[0108] Where V j,tis the storage capacity corresponding to the water level of the jth reservoir in the tth period; is the storage capacity corresponding to the minimum restricted water level of the jth reservoir in the tth period; is the storage capacity corresponding to the maximum limit water level of the jth reservoir in the tth period.

[0109] Reservoir outflow / sluice upper and lower limit flow constraints:

[0110]

[0111] In the formula, R j,t is the outflow / water volume passing through the sluice gate of the jth reservoir / sluice gate in the tth period; is the maximum allowable outflow / water volume passing through the sluice gate at the jth reservoir / sluice gate in the tth period; It is the minimum allowable outflow / water volume passing through the jth reservoir / sluice in the tth period.

[0112] Constraints on the upper limit of water consumption of water users:

[0113] 0≤WU i,t ≤WN i,t (9)

[0114] Where WU i,t WN is the water consumption of the i-th water user in the t-th period; i,t is the water demand of the i-th water user in the t-th period.

[0115] Pipeline water supply constraints:

[0116]

[0117] Where, WP k,t is the water supply of the kth pipeline in the tth period; is the maximum allowable water supply of the kth pipeline in the tth period.

[0118] Water balance constraints for water users:

[0119]

[0120] WD i,t +WU i,t =WN i,t (12)

[0121] In the formula, Β i is the set of water supply pipes connected to the i-th user; i is the set of reclaimed water reuse units connected to the i-th water user; β i,l WC is the water distribution coefficient from the lth reclaimed water reuse unit to the ith water user; l,tis the amount of recycled water reused in the lth recycled water reuse unit in the tth period.

[0122] Water balance constraints for reclaimed water reuse units:

[0123]

[0124] In the formula, Γ l is the set of water use objects reused in the lth reclaimed water reuse unit; α i,l It is the water reuse ratio from the ith water user to the lth reclaimed water reuse unit.

[0125] Reservoir inflow / sluice inflow balance constraint:

[0126]

[0127] In the formula, Q' j,t is the interval inflow / inflow volume of the jth reservoir / sluice at the tth period; Φ j is the set of reservoirs and sluices connected upstream of the jth reservoir / sluice; Θ j is the set of recycled water reuse units connected to the jth reservoir / sluice gate; j,l is the water distribution coefficient of the lth reclaimed water reuse unit to the jth reservoir / sluice; Ω j b is the set of agricultural drainage units connected to the jth reservoir / sluice gate; i,j a is the water withdrawal allocation coefficient of the i-th water user (agricultural water withdrawal unit) to the j-th reservoir / sluice gate; i,1 、a i,2 They are the water withdrawal ratios of the i-th water user (agricultural water withdrawal unit) in periods t-1 and t-2, respectively.

[0128] Reservoir water balance constraints:

[0129]

[0130] In the formula, Α j is the set of water supply pipes connected to the jth reservoir.

[0131] Sluice water balance constraints:

[0132]

[0133] In the formula, Α j is the set of water supply pipes connected to the j-th sluice.

[0134] The following is a 12-month medium- and long-term water resource scheduling in a certain area under the condition of 95% annual frequency water inflow as the implementation object, and specifically describes the medium- and long-term regional water resource optimization scheduling method based on multi-attribute coupling weights provided by the present invention, and calculates the scheduling operation process of each reservoir and the water supply process of each water user. The implementation steps of the present invention are as follows:

[0135] Step 1: Collect and organize relevant data on water sources, water users, reclaimed water plants, water supply networks, etc. related to the optimal allocation of water resources in a certain area;

[0136] Step 2: Construct the topological relationship of water resource scheduling in the region, including the upstream and downstream connection relationship between water sources, the connection relationship between water sources and water supply pipelines, the connection relationship between water sources and reclaimed water reuse units, the water withdrawal connection relationship between water sources and agricultural water users, the connection relationship between water users and water supply pipelines, and the connection relationship between reclaimed water reuse units and water users.

[0137] Step 3: Calculate the water shortage WD of all water users i,t and its corresponding weighted water deficit WD' i,t ,in:

[0138] WD i,t =WN i,t -WU i,t (1)

[0139]

[0140]

[0141] Where, T is the number of scheduling periods, and its value is 12; WU i,t WN is the water consumption of the i-th water user in the t-th period; i,t is the water demand of the i-th water user in the t-th period; WD i,t is the water shortage of the i-th user in the t-th period; WD' i,t is the weighted water shortage value of the i-th water user in the t-th period; α i is the importance coefficient of the i-th water use object, the agricultural water use object is set to 1, the industrial water use object is set to 2, and the domestic water use object is set to 3; β i is the critical water shortage ratio of the i-th water user. The critical water shortage ratio of the agricultural water user is set to 0.5, the critical water shortage ratio of the industrial water user is set to 0.4, and the critical water shortage ratio of the domestic water user is set to 0.3; η is 10.0; λ is 100.0.

[0142] Step 4: Calculate the total weighted water shortage target value FWD, where:

[0143]

[0144] Where FWD is the total weighted water shortage target value; M is the number of water users in the system; and T is the number of scheduling periods.

[0145] Step 5: Calculate the total accumulated water storage capacity FV of all reservoirs:

[0146]

[0147] Step 6: Construct the model objective function, the expression is as follows:

[0148] minF=γ1·FWD-γ2·FV(6)

[0149] Where F is the total objective function; γ1 is the target coefficient of the total weighted water deficit FWD, which is set to 10000.0; γ2 is the target coefficient of the cumulative total water storage FV of all reservoirs, which is set to 1.0.

[0150] Step 6: Set model constraints, including the following:

[0151] 1) Upper and lower limit constraints of reservoir capacity: The lower limit of reservoir capacity is set to the capacity corresponding to the dead water level, the upper limit of reservoir capacity is set to the capacity corresponding to the flood limit water level during the flood season, and the capacity corresponding to the normal water storage level during other periods.

[0152] 2) Constraints on the outflow of reservoirs / sluice gates: The minimum outflow of reservoirs / sluice gates is set to the ecological water volume, and the maximum is set to the safe water volume considering the downstream flood control safety;

[0153] 3) Constraints on water consumption of water users: The lower limit of water consumption of water users is set to 0, and the upper limit is set to the water demand of water users;

[0154] 4) Pipeline water supply constraint: The lower limit of pipeline water supply is set to 0, and the upper limit is set to the pipeline water supply capacity;

[0155] 5) Water balance of water users;

[0156] 6) Water balance of reclaimed water reuse unit;

[0157] 7) Reservoir inflow / sluice inflow balance;

[0158] 8) Reservoir water balance;

[0159] 9) Water balance in sluice gates.

[0160] Step 7: Use linear programming method to solve the model, and obtain the water supply plan of each water source in each scheduling period and the water use plan of each water user according to the solution results.

[0161] The statistics of water shortage ratios of water users in each month after the implementation of the technical solution are shown in Table 1. It can be seen that when encountering 95% frequency of water inflow, the area is in serious water shortage. The water shortage ratio of domestic water users from June to December is a critical water shortage ratio of 0.3, and the water shortage situation from January to May reaches a serious water shortage. The water supply of each water user is mainly provided by scattered small water sources and reservoir water in that month; the water shortage ratio of industrial water users from June to October is a critical water shortage ratio of 0.4, and the water shortage situation from November to May reaches a serious water shortage. The water supply of each water user is mainly provided by scattered small water sources; for agricultural water users, Huashan irrigation area, Bailang irrigation area, Jiulong irrigation area and Dongfeng irrigation area have independent water sources, so their water shortage situation is different from that of other water users. The agricultural water users with water sources that highly overlap with domestic and industrial water users, namely above the Heitan River dam site, Kuaiso dam area and Lingjiao area, have a water shortage ratio of a critical water shortage ratio of 0.5 from June to October, and from November to May, there is no water supply from scattered small water sources, so they are completely short of water.

[0162] The distribution of water shortage ratios of different types of water users in each month is shown in the attached Figure 2 .

[0163] Table 1 Statistics of water shortage ratios of water users in each month

[0164]

[0165] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0166] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the content of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

[0167] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A water resources optimization scheduling method based on multi-attribute coupling weights, characterized in that: include: Acquire multiple water-using objects, and establish a water resource allocation method based on the time scale, spatial scale, and water-using object category attributes according to the critical water shortage ratio coupling of the water-using objects; Obtaining the water consumption of the water-using object in each period during the scheduling period, and building a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method; The model constraints are set, and the water resource optimization scheduling model is solved by a linear programming method. The water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained according to the solution results.

2. The water resources optimization scheduling method based on multi-attribute coupling weights according to claim 1 is characterized in that: The step of acquiring a plurality of water users and establishing a water resource allocation method based on a time scale, a spatial scale, and a water user category attribute according to a critical water shortage ratio of the water user, further includes: The water resource allocation method based on the time scale attribute is to set a critical water shortage ratio of the water user. When the real-time water shortage ratio of the water user is less than the critical water shortage ratio, the water user is in a mild water shortage. When the real-time water shortage ratio of the water user is greater than the critical water shortage ratio, the water user is severely water-scarce; The water resource allocation method based on spatial scale attributes is that when water shortage occurs, if water resources can be allocated, water will be supplied to the same type of water users at the same real-time water shortage ratio in the same period; The water resource allocation method based on the category attributes of water users includes the classification of the importance of different types of water users; When the water shortage is small and all water users can be considered to be slightly short of water, water users with high importance will be supplied as if they have no water shortage, and water users with low importance will be supplied as if they are slightly short of water. When the water shortage is small and all water users exceed the level of mild water shortage, the water users with high importance shall be rated according to the real-time water shortage ratio of β. i For water supply, water users of lower importance will be supplied as if they were in a state of severe water shortage.

3. The water resources optimization scheduling method based on multi-attribute coupling weights according to claim 1 is characterized in that: The step of obtaining the water consumption of the water-using object in each period during the scheduling period and constructing a water resource optimization scheduling model based on multi-attribute coupling weights in combination with the water resource allocation method also includes: Collect the water consumption of water users in each period during the scheduling period, and calculate the water shortage of a single water user in a single period; According to the water shortage of the water use object in each period during the scheduling period, combined with the water resources in the time scale, space scale, and water use object category attributes, the water shortage weight coefficients of the coupled time attributes, space attributes, and water use object attributes are calculated respectively; Calculate the weighted water shortage according to the water shortage of the water user in each period during the scheduling period and the water shortage weight coefficient; According to the weighted water shortage of a single water user in a single period, the total weighted water shortage of all water users is obtained; The cumulative total water storage capacity of all reservoirs is obtained according to the water supply of a single reservoir in a single period, and the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights is established.

4. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The setting of model constraints, solving the water resource optimization scheduling model using a linear programming method, and obtaining a water supply plan for each water source and a water use plan for each water user in each scheduling period according to the solution results, also includes: The water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, and the linear programming method is used to solve the established medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights. According to the solution results, the water supply plan for each water source in each scheduling period and the water use plan for each water user are obtained.

5. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The collecting of water consumption of water users in each period during the scheduling period and calculating the water shortage of a single water user in a single period also includes: The water shortage of a single water user in a single period is described by formula (1): WD i,t =WN i,t -WU i,t (1) Where WU i,t WN is the water consumption of the i-th water user in the t-th period; i,t is the water demand of the i-th water user in the t-th period; WD i,t is the water shortage of the ith water user in the tth period.

6. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The method of calculating the water shortage weight coefficients of the coupling time attribute, space attribute and water use object attribute respectively according to the water shortage amount of the water use object in each period during the scheduling period and combining the water resources in the time scale, space scale and water use object category attribute, further includes: The water shortage weight coefficient w of water user i in period t i,t It is described as formula (2): Where T is the number of scheduling periods; α i is the importance coefficient of the i-th water user, α i The value is an integer greater than or equal to 1. The more important the water user is, the higher the value of α. i The larger the value of β i is the critical water shortage ratio of the i-th water user; η is the time weight factor; λ is the influencing factor when the water shortage ratio is greater than the critical water shortage ratio.

7. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The calculating of the weighted water shortage according to the water shortage of the water user in each period during the scheduling period and the water shortage weight coefficient also includes: According to the water shortage WD of the water user in each period during the scheduling period i,t and water shortage weight coefficient w i,t , calculate the weighted water shortage; The weighted water shortage WD' of water user i in period t i,t It is described as formula (3):

8. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The step of obtaining the total weighted water shortage of all water users according to the weighted water shortage of a single water user in a single period of time also includes: The total weighted water deficit FWD is described as formula (4): Where FWD is the target value of the system's cumulative weighted water shortage; M is the number of water users in the system; and T is the number of scheduling periods.

9. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 3 is characterized in that: The method of obtaining the cumulative total water storage capacity of all reservoirs according to the water supply capacity of a single reservoir in a single period and establishing the objective function of the medium- and long-term regional water resources optimization scheduling model based on multi-attribute coupling weights also includes: The total accumulated water storage capacity FV of all reservoirs is described as formula (5): Where N is the number of reservoirs in the system; V j,t is the storage capacity corresponding to the water level of the jth reservoir in the tth period; The model objective function F is described as formula (6): minF=γ1·FWD-γ2·FV(6) Where F is the total objective function; γ1 is the target coefficient of the total weighted water shortage FWD; γ2 is the target coefficient of the cumulative total water storage capacity FV of all reservoirs, γ1>>γ2.

10. The method for optimizing water resource scheduling based on multi-attribute coupling weights according to claim 4 is characterized in that: The water resources optimization scheduling model based on multi-attribute coupling weights sets constraints, including: Upper and lower limit constraints on reservoir capacity, reservoir outflow flow / sluice upper and lower limit overflow flow constraints, upper limit constraints on water consumption of water users, pipeline water supply constraints, water balance constraints for water users, water balance constraints for reclaimed water reuse units, reservoir inflow flow / sluice inflow flow balance constraints, reservoir water balance, and sluice water balance.

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