A method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices

Abstract

The present invention discloses a method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices, which belongs to the field of water resources management and solves the problem of insufficient driving force for optimal use of water and sewage recycling in the joint configuration of multiple water sources in the region. Disclosed is a method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices. The method adopts the full-cost water price theory to establish a classified water price model on the supply side and demand side based on the regional comprehensive water price; the cooperative game method is used to solve the classified water price model and the regional multi-water source configuration model driven by the established expected classified water prices on the supply side and demand side, respectively, to obtain the regional multi-water source configuration result, which includes the water resources configuration strategy corresponding to the expected classified water prices on the supply side and demand side. The invention solves the problem of insufficient driving force for optimal use of water and sewage recycling in the joint configuration of multiple water sources and multiple users in the region.

Description

Technical Field

[0001] The present application belongs to the field of water resource management, and in particular, relates to a method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices. Background Art

[0002] In recent years, with the continuous advancement of ecological civilization construction and market-oriented allocation of factors, the rational allocation of multiple water sources, including the preferential use of high-quality water and the utilization of recycled water, has become an effective way to solve regional water problems.

[0003] The current water supply price in my country is determined according to the principle of compensating costs and making reasonable profits, while the price of recycled water is determined by negotiation between the supply and demand parties. This policy has limitations in promoting the rational allocation of multiple water sources in the region. Specifically, for a specific region, different types of water sources use different water production processes and water purification technologies due to their different water quality, and the corresponding engineering construction and operation management costs vary greatly. The better the water quality of the water source, the lower the construction and operation costs, the lower the approved water price, and the easier it is for users to accept; conversely, the worse the water quality of the water source, the greater the construction and operation costs, the higher the water price, and the more difficult it is for users to accept. As a result, in the configuration of multiple water sources in the region, the motivation for the use of recycled water is insufficient, and it is difficult to achieve high quality and high price.

[0004] The price mechanism is the core of the market mechanism, and the classified water price system is the key to driving the market-based allocation of multiple water sources. Taking the multi-source water supply and use system of a region as a whole, through the classified water price system on the supply side and the user side, the rational allocation and efficient utilization of multiple water sources in the region are driven, and the regional water security guarantee capacity is improved from the aspects of water supply and demand balance and water ecological environment improvement. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide a method and device for reasonable configuration of multiple water sources in a region driven by bilateral classified water prices, so as to solve the problem of insufficient motivation for high-quality water and high prices and recycled water utilization in the joint configuration of multiple water sources and multiple users in the region, and on the premise that multiple water sources can be reasonably configured and efficiently utilized, the regional water security guarantee capability is stronger and the water resource support capability is greater.

[0006] According to a first aspect of an embodiment of the present application, a method for rationally allocating multiple water sources in a region driven by bilateral classified water prices is provided, the method comprising:

[0007] The full-cost water price theory is used to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices;

[0008] The cooperative game method is used to solve the supply-side and demand-side classified water price model, and the expected classified water prices on the supply and demand sides under the scenario of multiple water source pre-configuration are obtained;

[0009] According to the expected classified water prices on the supply side and demand side and the water supply capacity of multiple water sources, the weighted average method is used to obtain the expected comprehensive benefits and expected regional comprehensive water prices under different configuration scenarios of multiple water sources;

[0010] The regional multi-water source configuration model established, the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration results include the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side;

[0011] The cooperative game method is used to solve the established regional multi-water source configuration model and obtain the regional multi-water source configuration results.

[0012] Furthermore, a supply-side and demand-side classified water price model based on regional comprehensive water prices is established, including:

[0013] For a regional multi-source water supply and water system with NI water sources and NJ water users, taking the regional comprehensive water price as the benchmark, the supply-side and demand-side expected classified water price calculation model is:

[0014]

[0015] Where: C is the regional comprehensive water price, which is composed of the resource cost, engineering cost, environmental cost, water supply profit margin and tax of the regional multi-source water supply and water use system;

[0016] G i is the water price on the supply side of the i-th water source;

[0017] Gy ij is the demand-side water price for the jth water user of the i-th water source;

[0018] Q i is the water supply of the i-th water source under a specific water resources allocation scenario;

[0019] q ij is the water consumption of the jth water user of the i-th water source,

[0020] Furthermore, the cooperative game method is used to solve the supply-side and demand-side classified water price models to obtain the supply-side and demand-side expected classified water prices under the multi-water source scheduled configuration scenario, including:

[0021] 1) Establish a game strategy optimization model for cooperation between water supply enterprises with multiple water sources on the supply side and water users on the demand side;

[0022] 2) Set the initial values ​​of the equilibrium points of classified water prices on the supply side and demand side: Randomly select the initial values ​​of the equilibrium points of classified water prices from the strategy set of each decision variable.

[0023] 3) The game alliances on the supply side and the demand side make independent optimization decisions: When the parties to the game optimize in the nth round, they make their own optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now:

[0024]

[0025] Where: W GC , W GY They are the revenue function of water supply enterprises on the supply side and the payment function of water users on the demand side respectively.

[0026] 4) If the optimal solutions obtained by each game participant twice are the same, that is: According to the definition of Nash equilibrium, it is considered that the game has reached the Nash equilibrium point under this strategy combination, the optimization is completed, and the expected equilibrium classified water prices on the supply side and demand side under the specific configuration scenario of multiple water sources are obtained; otherwise, the optimization continues.

[0027] Furthermore, the weighted average method is used to obtain the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources, including:

[0028] The expected benefits of the remaining water supply capacity after multiple water sources are configured are subtracted from the penalty benefits to obtain the expected comprehensive benefits under different configuration scenarios of multiple water sources; wherein the penalty benefits include the penalty benefits of water users on the demand side not meeting the water demand requirements and the penalty benefits of water quality not meeting the standards in the river and lake control sections;

[0029] Take the weighted average of the water volume allocated from multiple water sources in the region and the classified water prices on the supply side to get the expected regional comprehensive water price.

[0030] Furthermore, a regional multi-water source configuration model is established, and the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multi-water source configuration are maximized, and the available water quantity is constrained, including:

[0031] 1) The expected comprehensive benefits of the regional multi-water source configuration model are:

[0032]

[0033] 2) The weighted average water price of multiple water sources and multiple users is not lower than the regional comprehensive water price constraint condition:

[0034]

[0035] 3) The ecological environment control section of rivers and lakes is not inferior to the target water quality constraint condition expressed as:

[0036]

[0037] 4) The available water constraint condition is expressed as:

[0038]

[0039] Among them: F Qq The expected comprehensive benefits of configuring multiple water sources for the region;

[0040] is the maximum water supply capacity of the i-th type water source;

[0041] Q i Allocate water supply for the i-th type of water source;

[0042] B i is the net water benefit of the i-th type of water source;

[0043] QE ij The water shortage allocated to the jth type of water user from the i-th type of water source;

[0044] C ij The penalty benefit of allocating water shortage per unit to the jth water user from the ith water source;

[0045] q ij The amount of water allocated to the jth type of water user from the ith type of water source;

[0046] f 1 (q ij ) is the amount of water allocated from the i-th water source to the j-th water user, and ij When the ecological environment of rivers and lakes is controlled, the penalty benefits are:

[0047] G i is the water price on the supply side of the i-th water source;

[0048] Gy ij is the demand-side water price for the jth water user of the i-th water source;

[0049] C is the regional comprehensive water price;

[0050] The amount of water allocated to the jth type of water user from the i-th type of water source is q ij When , the water quality of the mth river and lake ecological environment control section;

[0051] The amount of water allocated to the jth type of water user from the i-th type of water source is qij The target water quality of the mth river and lake ecological environment control section at .

[0052] Furthermore, the cooperative game method is used to solve the regional multi-water source configuration model to obtain the regional multi-water source configuration results, including:

[0053] 1) Based on the expected equilibrium classified water prices on the supply side and demand side under the multi-water source predetermined configuration scenario, a game strategy optimization model of the regional multi-water source configuration model is established;

[0054] 2) Set the initial value of the equilibrium point of the multi-water source configuration strategy: Randomly select the initial value of the equilibrium point of the multi-water source configuration strategy from the strategy set of each decision variable.

[0055] 3) The game alliance makes optimization decisions: When the parties in the game optimize in the nth round, they make optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now:

[0056]

[0057] Among them: F Qq The expected comprehensive benefits of configuring the model for multiple water sources in the region;

[0058] 4) If the optimal solutions obtained by each game participant twice are the same, that is: Qq n-1 =Qq n =Qq * According to the definition of Nash equilibrium, the game is considered to have reached the Nash equilibrium point under this strategy combination, and the optimization ends; otherwise, continue the optimization.

[0059] According to a second aspect of an embodiment of the present application, a device for rationally allocating multiple water sources in a region driven by bilateral classified water prices is provided, the method comprising:

[0060] The first model building module is used to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices using the full-cost water price theory;

[0061] The first solution module is used to solve the supply-side and demand-side classified water price model by using a cooperative game method to obtain the supply-side and demand-side expected classified water prices under a multi-water source predetermined configuration scenario;

[0062] A calculation module, for obtaining the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources by using a weighted average method according to the expected classified water prices on the supply side and the demand side and the water supply capacity of multiple water sources;

[0063] The second model building module is used to establish a regional multi-water source configuration model, wherein the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of the multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration result includes the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side;

[0064] The second solution module is used to solve the established regional multi-water source configuration model using a cooperative game method to obtain the regional multi-water source configuration result.

[0065] According to a third aspect of an embodiment of the present application, there is provided an electronic device, including:

[0066] one or more processors;

[0067] A memory for storing one or more programs;

[0068] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in the first aspect.

[0069] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which computer instructions are stored, characterized in that when the instructions are executed by a processor, the steps of the method described in the first aspect are implemented.

[0070] The technical solution provided by the embodiments of the present application may have the following beneficial effects:

[0071] It can be seen from the above embodiments that the present application regards regional multiple water sources including recycled water as a whole, establishes a supply-side and demand-side classified water price model based on the regional comprehensive water price by adopting the full-cost water price theory, and solves the supply-side and demand-side classified water price model by using the cooperative game model to obtain the expected classified water prices on the supply and demand sides under the specific configuration scenario of multiple water sources; further, obtain the expected classified water prices on the supply and demand sides under the specific configuration scenario of multiple water sources, and establish a regional multiple water source configuration model driven by the expected classified water prices on the supply and demand sides; the regional multiple water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources is not lower than the regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the remaining water supply capacity of multiple water sources is maximized, and the available water volume is constrained; the immune particle swarm algorithm is used to solve the regional multiple water source configuration model, etc., so that the classified water price system effectively drives the reasonable configuration of multiple water sources including the preferential use of high-quality water and the utilization of recycled water, and promotes a more reasonable and efficient configuration of multiple water sources.

[0072] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0074] Figure 1 It is a flow chart showing a method for rationally allocating multiple water sources in a region driven by bilateral classified water prices according to an exemplary embodiment.

[0075] Figure 2 It is a block diagram of a device for rationally allocating multiple water sources in a region driven by dual-side classified water prices according to an exemplary embodiment. DETAILED DESCRIPTION

[0076] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0077] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms of "a", "said" and "the" used in this application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0078] It should be understood that, although the terms first, second, third, etc. may be used in the present application to describe various information, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0079] Before introducing the present embodiment, in order to make the embodiment of the present invention clearer, a brief introduction to the full cost water price theory is first given here.

[0080] The full cost water price theory is the basic theory used to determine the water supply price. The full cost refers to the total cost of the entire process including water source, water intake, water transmission, water purification, water distribution, water use, sewage treatment, drainage, etc. The full cost water price is the water supply price composed of resource cost, engineering cost, environmental cost, water supply profit and tax that water users should pay for using water resources. This theory has limitations in the joint configuration of multiple water sources in the region, which is manifested as: different types of water sources require different water production processes and technologies due to their different water quality, and the corresponding engineering construction and operation management costs also vary greatly. If the water quality of the water source is better, the water supply cost is lower, the approved water price is lower, and water users are more likely to choose; on the contrary, if the water quality of the water source is worse, the water supply cost is higher, the approved water price is higher, and water users are not easy to accept. Affect the reasonable allocation and efficient utilization of water resources. To solve this problem, the present invention regards multiple water sources in the region as a whole, adopts the full cost water price theory to determine the regional comprehensive water price, and ensures the sustainable development of the regional water supply industry.

[0081] After the regional comprehensive water price is determined, a supply-side and demand-side classified water price model based on the regional comprehensive water price is established. The purpose is to separately determine the supply-side and demand-side classified water prices of multiple water sources, so that the supply-side classified water prices and demand-side classified water prices of multiple water sources maintain a reasonable price ratio, thereby promoting the optimal use of high-quality water and the utilization of recycled water.

[0082] Figure 1 is a flow chart showing a method for rationally allocating multiple water sources in a region driven by bilateral classified water prices according to an exemplary embodiment. Figure 1 As shown, the following steps may be included:

[0083] Step S11, using the full cost water price theory to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices;

[0084] Step S12, using a cooperative game method to solve the supply-side and demand-side classified water price models, and obtaining the supply-side and demand-side expected classified water prices under a multi-water source predetermined configuration scenario;

[0085] Step S13, according to the expected classified water prices on the supply side and demand side and the water supply capacity of multiple water sources, a weighted average method is used to obtain the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources;

[0086] Step S14, establishing a regional multi-water source configuration model, wherein the regional multi-water source configuration model at least satisfies the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of the multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration result includes the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side;

[0087] Step S15, using cooperative game method to solve the established regional multi-water source configuration model to obtain the regional multi-water source configuration result.

[0088] It can be seen from the above embodiments that the present application regards regional multiple water sources including recycled water as a whole, establishes a supply-side and demand-side classified water price model based on the regional comprehensive water price by adopting the full-cost water price theory, and solves the supply-side and demand-side classified water price model by using the cooperative game model to obtain the expected classified water prices on the supply and demand sides under the specific configuration scenario of multiple water sources; further, obtain the expected classified water prices on the supply and demand sides under the specific configuration scenario of multiple water sources, and establish a regional multiple water source configuration model driven by the expected classified water prices on the supply and demand sides; the regional multiple water source configuration model at least satisfies the following constraints: the weighted average water price of multiple water sources is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multiple water source configuration are maximized, and the available water volume is constrained; the cooperative game method is used to solve the regional multiple water source configuration model, etc., so that the classified water price system effectively drives the reasonable configuration of multiple water sources including the preferential use of high-quality water and the utilization of recycled water, and promotes a more reasonable and efficient configuration of multiple water sources.

[0089] In the specific implementation of step S11, the full-cost water price theory is adopted to establish a supply-side and demand-side classified water price model based on the regional comprehensive water price.

[0090] Specifically, for the regional water resource system with NI water sources, the regional comprehensive water price model based on full cost accounting is established as follows:

[0091]

[0092] F i =(R i +P i +E i )×(1+r+δ)

[0093] Where: C is the regional comprehensive water price;

[0094] R i is the resource cost of the i-th type of water source, where i=1,......,NI;

[0095] P i is the engineering cost of the i-th type of water source; where i=1,......,NI;

[0096] E i is the environmental cost of the i-th type of water source; where i=1,......,NI;

[0097] r and δ are the water supply profit rate and tax respectively, which shall be implemented in accordance with relevant national regulations;

[0098] F i is the full cost water price of the i-th type of water source, where i=1,......,NI;

[0099] Q i The expected water supply of the i-th water source under a specific water resources allocation scenario (or target).

[0100] For the regional water resource system with NI water sources and NJ water users, the supply-side and demand-side expected classified water price models are established based on the regional comprehensive water price:

[0101]

[0102] Among them, Gc i is the expected supply-side water price for the i-th type of water source;

[0103] Gy ij is the expected demand-side water price for the jth water user of the i-th water source;

[0104] q ij is the expected water consumption of the jth water user of the i-th water source,

[0105] The expected water price model for Class NI water sources is as follows:

[0106]

[0107] Among them, c i The expected water price for the i-th type of water source.

[0108] In the specific implementation of step S12, the cooperative game method is used to solve the supply-side and demand-side classified water price models to obtain the supply-side and demand-side expected classified water prices under the multi-water source predetermined configuration scenario, including the following sub-steps:

[0109] 1) Establish a game strategy optimization model for cooperation between water supply enterprises with multiple water sources on the supply side and water users on the demand side;

[0110] Specifically, the multi-source water supply enterprises on the supply side and the water users on the demand side are the participants of the cooperative game, with W GC and W GY represents the participants on the water supply side and the demand side, W GC With W GY When the game is played separately, the game strategies are: the supply side and the demand side water prices are Gc i (i=1,...,NI) and Gy ij(i=1,...,NI;j=1,...,NJ), the following is the game strategy optimization model of the multi-source water supply enterprise on the supply side and the water users on the demand side under the cooperation situation:

[0111] Participants: Supply side {W GC}、Demand side {W GY}

[0112] Strategy set: (P GC ,P GY )=[(Gc i ),(Gy ij ), i=1,...,NI; j=1,...NJ],

[0113] Information set: water supply capacity of multiple water sources, water user demand, water user's ability to bear water prices, and water resource allocation project capacity.

[0114] Supply-side revenue function:

[0115] Demand side payment function:

[0116] in: are the lower and upper limits of the expected supply-side water price of the i-th water source;

[0117] are the lower and upper limits of the expected demand-side water price for the jth water user of the i-th water source;

[0118] W GC , W GY They are the revenue function of water suppliers on the supply side and the payment function of water users on the demand side, and they are numerically equal.

[0119] 2) Set the initial values ​​of the equilibrium points of classified water prices on the supply side and demand side: Randomly select the initial values ​​of the equilibrium points of classified water prices from the strategy set of each decision variable.

[0120] Specifically, it is required that the initial values ​​of the equilibrium points of the classified water prices on the supply side and the demand side should be in the strategy set.

[0121] 3) The game alliances on the supply side and the demand side make independent optimization decisions: with the supply side benefit function and the demand side payment function being greater than or equal to the expected regional comprehensive water price as the goal, the game parties will optimize in the nth round according to the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now:

[0122]

[0123] Where: W GC , W GY They are the revenue function of water supply enterprises on the supply side and the payment function of water users on the demand side respectively.

[0124] Specifically, optimization is performed from the supply side and the demand side respectively to obtain the optimal strategy of the party when the other party chooses the optimal strategy; the supply-side benefit function and the demand-side payment function are calculated, and it is determined whether they are greater than or equal to the expected regional comprehensive water price; if the requirements are met, proceed to the next step, otherwise proceed to the next round of optimization.

[0125] 4) If the optimal solutions obtained by each game participant twice are the same, that is: According to the definition of Nash equilibrium, it is considered that the game has reached the Nash equilibrium point under this strategy combination, the optimization is completed, and the expected equilibrium classified water prices on the supply side and demand side under the specific configuration scenario of multiple water sources are obtained; otherwise, the optimization continues.

[0126] Specifically, if the above cooperative game model has a Nash equilibrium point According to the definition of Nash equilibrium, it should satisfy:

[0127]

[0128]

[0129] In the above formula, and The optimal strategy of the party is expressed from the supply side and the demand side respectively when the other party chooses the optimal strategy. That is, under given information, the water price combination strategy can achieve the water price equilibrium of multiple water sources and multiple users in the sense of Nash equilibrium from the supply side and the demand side respectively.

[0130] For the above cooperative game optimization problem, an iterative search method is used to solve the Nash equilibrium point. The iterative search method first needs to determine the iterative decision variables. The iterative decision variables of the present invention are the classified water prices on the supply side and the demand side respectively; secondly, an iterative relationship is established, and the next decision variable value is solved from the initial decision variable value according to the iterative relationship; finally, the Nash equilibrium point is determined according to the water price combination strategy when the model benefit function and payment function reach the optimal value.

[0131] The steps to solve the cooperative game optimization problem are as follows:

[0132] Step 1: Input the original data and parameters to initialize the data, including water supply capacity of multiple water sources, water user demand, water user's water price tolerance, engineering capacity and other related parameters and data.

[0133] Step 2: Establish a game strategy model between the supply-side multi-source water supply enterprises and the demand-side water users under cooperation;

[0134] Step 3: Set the initial values ​​of the equilibrium points of classified water prices on the supply side and demand side: Randomly select the initial values ​​of the equilibrium points of classified water prices from the strategy set of each decision variable.

[0135] Step 4: The game alliances on the supply side and the demand side make independent optimization decisions: In the nth round of optimization, the game parties make their own optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now:

[0136]

[0137] Where: W GC , W GY They are the revenue function of water supply enterprises on the supply side and the payment function of water users on the demand side respectively.

[0138] Step 5: Calculate the supply-side revenue function and the demand-side payment function.

[0139] Step 6: If the optimal solutions obtained by each game participant twice are the same, that is: According to the definition of Nash equilibrium, it can be considered that the game has reached the Nash equilibrium point under this strategy combination. If the equilibrium point is found, go to step 7 and output the result; if the equilibrium point is not reached, return to step 4.

[0140] Step 7: Get the optimal strategy combination of classified water prices on the supply side and demand side. Considering the impact of the initial value on the equilibrium point solution, if the algorithm does not converge, the initial value can be reselected in step 3.

[0141] In the specific implementation of step S13, based on the expected classified water prices on the supply side and demand side and the water supply capacity of multiple water sources, the weighted average method is used to obtain the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources. The specific steps are as follows:

[0142] Step 1: Subtract the expected benefit of the remaining water supply capacity after multiple water sources are configured from the penalty benefit to obtain the expected comprehensive benefit under different configuration scenarios of the multiple water sources; wherein the penalty benefit includes the penalty benefit of water users on the demand side not meeting the water demand requirements and the penalty benefit of water quality not meeting the standards in the river and lake control sections;

[0143] Specifically, the net water benefits of multiple water sources, the penalty benefits of water shortage for water users, and the penalty benefits of river and lake ecological environment control sections are determined respectively. The expected comprehensive benefits obtained under different configuration scenarios of multiple water sources are the difference between the expected benefits of the remaining water supply capacity after the configuration of multiple water sources and the penalty benefits.

[0144] Step 2: Take the weighted average of the water volume allocated from multiple water sources in the region and the classified water price on the supply side to obtain the expected regional comprehensive water price.

[0145] In the specific implementation of step S14, a regional multi-water source configuration model is established, and the regional multi-water source configuration model at least satisfies the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration result includes the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side; specifically includes:

[0146] Step 1: Obtain the expected comprehensive benefits of the regional multi-water source configuration model:

[0147]

[0148] Step 2: Obtain constraints for the regional multi-water source configuration model

[0149] 1) The weighted average water price of multiple water sources and multiple users is not lower than the regional comprehensive water price constraint condition:

[0150]

[0151] 2) The ecological environment control section of rivers and lakes is not inferior to the target water quality constraint condition expressed as:

[0152]

[0153] 3) The available water constraint condition is expressed as

[0154]

[0155] Among them: F Qq The expected comprehensive benefits of configuring multiple water sources for the region;

[0156] is the maximum water supply capacity of the i-th type water source;

[0157] Q i Allocate water supply for the i-th type of water source;

[0158] B i is the net water benefit per unit of the i-th type of water source;

[0159] QE ij The water shortage allocated to the jth type of water user from the i-th type of water source;

[0160] C ij The penalty benefit of allocating water shortage per unit to the jth water user from the ith water source;

[0161] q ij The amount of water allocated to the jth type of water user from the ith type of water source;

[0162] f 1 (q ij ) is the amount of water allocated from the i-th water source to the j-th water user, and ij When the ecological environment of rivers and lakes is controlled, the penalty benefits are:

[0163] G i is the water price on the supply side of the i-th type of water source;

[0164] Gy ij is the demand-side water price for the jth water user of the i-th water source;

[0165] C is the regional comprehensive water price;

[0166] The amount of water allocated to the jth type of water user from the i-th type of water source is q ij When , the water quality of the mth river and lake ecological environment control section;

[0167] The amount of water allocated to the jth type of water user from the i-th type of water source is q ij The target water quality of the mth river and lake ecological environment control section at .

[0168] In the specific implementation of step S15, the established regional multi-water source configuration model is solved by using a cooperative game method to obtain a regional multi-water source configuration result.

[0169] The cooperative game method is used to solve the regional multi-water source configuration model. The specific steps are as follows:

[0170] Step 1: The expected equilibrium classified water prices on the supply side and demand side under the multi-water source specific configuration scenario are used to establish a game strategy optimization model for the regional multi-water source configuration model:

[0171] Participants: Water supply side {WQ i}、User demand side{Wq}

[0172] Strategy set: Qq=(q ij , i=1,...,NI; j=1,...NJ)

[0173] Objective function: max F Qq

[0174] Step 2: Set the initial value of the equilibrium point of the multi-water source configuration strategy: Randomly select the initial value of the equilibrium point of the multi-water source configuration strategy from the strategy set of each decision variable.

[0175] Step 3: The gaming alliance makes optimization decisions. During the nth round of optimization, the gaming parties make their own optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now:

[0176]

[0177] Among them: F Qq Expected comprehensive benefits of configuring a model for regional multiple water sources.

[0178] Step 4: If the optimal solutions obtained by each game participant twice are the same, that is: Qq n-1 =Qq n =Qq * According to the definition of Nash equilibrium, it can be considered that the game has reached the Nash equilibrium point under this strategy combination and the optimization is completed; otherwise, continue to optimize.

[0179] This application adopts the full-cost water price theory to establish a supply-side and demand-side classified water price model based on the regional comprehensive water price; the technical solution of using the cooperative game method to solve the classified water price model and the regional multi-water source configuration model driven by the established supply-side and demand-side expected classified water prices can effectively solve the problem of insufficient driving force for the optimal use of high-quality water and sewage recycling in the joint configuration of regional multi-water sources, making the regional multi-water source configuration more reasonable and efficient.

[0180] Corresponding to the aforementioned embodiment of the method for rationally allocating multiple water sources in a region driven by bilaterally classified water prices, the present application also provides an embodiment of a device for rationally allocating multiple water sources in a region driven by bilaterally classified water prices.

[0181] Figure 2 This is a block diagram of a device for rationally configuring multiple water sources in a region driven by dual-side classified water prices according to an exemplary embodiment. Figure 2 , the device comprises:

[0182] The first model building module 21 is used to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices by adopting the full-cost water price theory;

[0183] The first solution module 22 is used to solve the supply-side and demand-side classified water price model by using a cooperative game method to obtain the supply-side and demand-side expected classified water prices under a multi-water source predetermined configuration scenario;

[0184] A calculation module 23 is used to obtain the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources by using a weighted average method according to the expected classified water prices on the supply side and the demand side and the water supply capacity of multiple water sources;

[0185] The second model building module 24 is used to establish a regional multi-water source configuration model, wherein the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of the multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration result includes the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side;

[0186] The second solving module 25 is used to solve the established regional multi-water source configuration model by using a cooperative game method to obtain a regional multi-water source configuration result.

[0187] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0188] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can refer to the partial description of the method embodiments. The device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present application. A person of ordinary skill in the art can understand and implement it without paying any creative effort.

[0189] Correspondingly, the present application also provides an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method for reasonable configuration of multiple water sources in the region driven by bilateral classified water prices as mentioned above.

[0190] Correspondingly, the present application also provides a computer-readable storage medium having computer instructions stored thereon, characterized in that when the instructions are executed by a processor, the above-mentioned method for rationally allocating multiple water sources in a region driven by bilateral classified water prices is implemented.

[0191] Those skilled in the art will readily appreciate other embodiments of the present application after considering the description and practicing the contents disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The description and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0192] 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.

Claims

1. A method for rationally allocating multiple water sources in a region driven by bilateral classified water prices, characterized in that: The method includes: The full-cost water price theory is used to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices; The cooperative game method is used to solve the supply-side and demand-side classified water price model, and the expected classified water prices on the supply and demand sides under the scenario of multiple water source pre-configuration are obtained; According to the expected classified water prices on the supply side and demand side and the water supply capacity of multiple water sources, the weighted average method is used to obtain the expected comprehensive benefits and expected regional comprehensive water prices under different configuration scenarios of multiple water sources; The regional multi-water source configuration model established, the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration results include the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side; The cooperative game method is used to solve the established regional multi-water source configuration model and obtain the regional multi-water source configuration results; Among them, a supply-side and demand-side classified water price model based on regional comprehensive water prices is established, including: For a regional multi-source water supply and water system with NI water sources and NJ water users, taking the regional comprehensive water price as the benchmark, the supply-side and demand-side expected classified water price calculation model is: Where: C is the regional comprehensive water price, which is composed of the resource cost, engineering cost, environmental cost, water supply profit margin and tax of the regional multi-source water supply and water use system; G i is the water price on the supply side of the i-th type of water source; Gy ij is the demand-side water price for the jth water user of the i-th water source; Q i is the water supply of the i-th water source under a specific water resources allocation scenario; q i j is the water consumption of the jth water user of the ith water source, Among them, the cooperative game method is used to solve the supply-side and demand-side classified water price model, and the expected classified water prices on the supply and demand sides under the scenario of multiple water source scheduled configuration are obtained, including: 1) Establish a game strategy optimization model for cooperation between water supply enterprises with multiple water sources on the supply side and water users on the demand side; 2) Set the initial values ​​of the equilibrium points of classified water prices on the supply side and demand side: Randomly select the initial values ​​of the equilibrium points of classified water prices from the strategy set of each decision variable. 3) The game alliances on the supply side and the demand side make independent optimization decisions: When the parties to the game optimize in the nth round, they make their own optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now: Where: W GC , W GY They are the revenue function of water supply enterprises on the supply side and the payment function of water users on the demand side; 4) If the optimal solutions obtained by each game participant twice are the same, that is: According to the definition of Nash equilibrium, it is considered that the game under this strategy combination has reached the Nash equilibrium point, the optimization is ended, and the expected equilibrium classified water prices on the supply side and demand side under the specific configuration scenario of multiple water sources are obtained; otherwise, the optimization continues; The cooperative game method is used to solve the regional multi-water source configuration model to obtain the regional multi-water source configuration results, including: 1) Based on the expected equilibrium classified water prices on the supply side and demand side under the multi-water source predetermined configuration scenario, a game strategy optimization model of the regional multi-water source configuration model is established; 2) Set the initial value of the equilibrium point of the multi-water source configuration strategy: Randomly select the initial value of the equilibrium point of the multi-water source configuration strategy from the strategy set of each decision variable. 3) The game alliance makes optimization decisions: When the parties in the game optimize in the nth round, they make optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now: Among them: F Qq The expected comprehensive benefits of configuring the model for multiple water sources in the region; 4) If the optimal solutions obtained by each game participant twice are the same, that is: Qq n-1 =Qq n =Qq * According to the definition of Nash equilibrium, it is considered that the game has reached the Nash equilibrium point under this strategy combination and the optimization ends; otherwise, continue the optimization.

2. The method according to claim 1, characterized in that The weighted average method is used to obtain the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources, including: The expected benefits of the remaining water supply capacity after multiple water sources are configured are subtracted from the penalty benefits to obtain the expected comprehensive benefits under different configuration scenarios of multiple water sources; wherein the penalty benefits include the penalty benefits of water users on the demand side not meeting the water demand requirements and the penalty benefits of water quality not meeting the standards in the river and lake control sections; Take the weighted average of the water volume allocated from multiple water sources in the region and the classified water prices on the supply side to get the expected regional comprehensive water price.

3. The method according to claim 1, characterized in that Establish a regional multi-water source configuration model, which at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of multi-water source configuration are maximized, and the available water quantity is constrained, including: 1) The expected comprehensive benefits of the regional multi-water source configuration model are: 2) The weighted average water price of multiple water sources and multiple users is not lower than the regional comprehensive water price constraint condition: 3) The ecological environment control section of rivers and lakes is not inferior to the target water quality constraint condition expressed as: 4) The available water constraint condition is expressed as: Among them: F Qq The expected comprehensive benefits of configuring multiple water sources for the region; is the maximum water supply capacity of the i-th type water source; Q i Allocate water supply for the i-th type of water source; B i is the net water benefit of the i-th type of water source; QE ij The water shortage allocated to the jth type of water user from the i-th type of water source; C ij The penalty benefit of allocating water shortage per unit to the jth water user from the ith water source; q ij The amount of water allocated to the jth type of water user from the ith type of water source; f1(q ij ) is the amount of water allocated from the i-th water source to the j-th water user, and ij When the ecological environment of rivers and lakes is controlled, the penalty benefits are: G i is the water price on the supply side of the i-th type of water source; Gy ij is the demand-side water price for the jth water user of the i-th water source; C is the regional comprehensive water price; QUR m [f2(q ij )] is the amount of water allocated from the i-th water source to the j-th water user, which is q ij When , the water quality of the mth river and lake ecological environment control section; The amount of water allocated to the jth type of water user from the i-th type of water source is q ij The target water quality of the mth river and lake ecological environment control section at .

4. A device for rationally allocating multiple water sources in a region driven by bilateral classified water prices, characterized in that: The device includes: The first model building module is used to establish a supply-side and demand-side classified water price model based on regional comprehensive water prices using the full-cost water price theory; The first solution module is used to solve the supply-side and demand-side classified water price model by using a cooperative game method to obtain the supply-side and demand-side expected classified water prices under a multi-water source predetermined configuration scenario; A calculation module, for obtaining the expected comprehensive benefits and regional comprehensive water prices under different configuration scenarios of multiple water sources by using a weighted average method according to the expected classified water prices on the supply side and the demand side and the water supply capacity of multiple water sources; The second model building module is used to establish a regional multi-water source configuration model, wherein the regional multi-water source configuration model at least meets the following constraints: the weighted average water price of multiple water sources and multiple users is not lower than the expected regional comprehensive water price, the ecological environment control section of rivers and lakes is not inferior to the target water quality, the expected comprehensive benefits of the multi-water source configuration are maximized, and the available water quantity is constrained. The regional multi-water source configuration result includes the water resource allocation strategy corresponding to the expected classified water prices on the supply side and the demand side; The second solution module is used to solve the established regional multi-water source configuration model by using a cooperative game method to obtain the regional multi-water source configuration result; Among them, a supply-side and demand-side classified water price model based on regional comprehensive water prices is established, including: For a regional multi-source water supply and water system with NI water sources and NJ water users, taking the regional comprehensive water price as the benchmark, the supply-side and demand-side expected classified water price calculation model is: Where: C is the regional comprehensive water price, which is composed of the resource cost, engineering cost, environmental cost, water supply profit margin and tax of the regional multi-source water supply and water use system; G i is the water price on the supply side of the i-th type of water source; Gy ij is the demand-side water price for the jth water user of the i-th water source; Q i is the water supply of the i-th water source under a specific water resources allocation scenario; q ij is the water consumption of the jth water user of the i-th water source, Among them, the cooperative game method is used to solve the supply-side and demand-side classified water price model, and the expected classified water prices on the supply and demand sides under the scenario of multiple water source scheduled configuration are obtained, including: 1) Establish a game strategy optimization model for cooperation between water supply enterprises with multiple water sources on the supply side and water users on the demand side; 2) Set the initial values ​​of the equilibrium points of classified water prices on the supply side and demand side: Randomly select the initial values ​​of the equilibrium points of classified water prices from the strategy set of each decision variable. 3) The game alliances on the supply side and the demand side make independent optimization decisions: When the parties to the game optimize in the nth round, they make their own optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now: Where: W GC , W GY They are the revenue function of water supply enterprises on the supply side and the payment function of water users on the demand side; 4) If the optimal solutions obtained by each game participant twice are the same, that is: According to the definition of Nash equilibrium, it is considered that the game under this strategy combination has reached the Nash equilibrium point, the optimization is ended, and the expected equilibrium classified water prices on the supply side and demand side under the specific configuration scenario of multiple water sources are obtained; otherwise, the optimization continues; The cooperative game method is used to solve the regional multi-water source configuration model to obtain the regional multi-water source configuration results, including: 1) Based on the expected equilibrium classified water prices on the supply side and demand side under the multi-water source predetermined configuration scenario, a game strategy optimization model of the regional multi-water source configuration model is established; 2) Set the initial value of the equilibrium point of the multi-water source configuration strategy: Randomly select the initial value of the equilibrium point of the multi-water source configuration strategy from the strategy set of each decision variable. 3) The game alliance makes optimization decisions: When the parties in the game optimize in the nth round, they make optimization decisions based on the optimization results of the previous round. Get the optimal strategy combination through optimization algorithm Right now: Among them: F Qq The expected comprehensive benefits of configuring the model for multiple water sources in the region; 4) If the optimal solutions obtained by each game participant twice are the same, that is: Qq n-1 =Qq n =Qq * According to the definition of Nash equilibrium, it is considered that the game has reached the Nash equilibrium point under this strategy combination and the optimization ends; otherwise, continue the optimization.

5. An electronic device, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 3.

6. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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