Water resources optimization configuration method and system considering dual water sources parallel water supply in water plants

Abstract

The present invention provides a method for optimizing water resource configuration considering the parallel water supply of dual water sources in a water plant, and relates to the field of water resource optimization configuration. The method comprises the following steps: obtaining the engineering elements and hydraulic connectivity information of the target city water supply system, and constructing the network topology structure of the target city water supply system. Based on the network topology structure, water source water supply state parameters are introduced to establish a parallel water supply mechanism of dual water sources in the water plant of the target city water supply system. A multi-source water supply configuration model of the target city water supply system is constructed; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pump station as the objective function, and introduces multiple constraints. The objective function is analyzed to obtain a typical configuration scheme that takes into account the total water shortage of the water plant and the optimal total energy consumption of the pump station. The method can make full use of the interconnection advantages of the water supply system, effectively reduce the energy consumption of the water supply pump station, enhance the stability of local water resources, and improve the safety, reliability and risk resistance of urban water supply.

Description

Technical Field

[0001] The present invention relates to the field of water resource optimization configuration, and in particular to a water resource optimization configuration method and system considering the parallel water supply of dual water sources in a water plant. Background Art

[0002] The combined water supply of external water sources and local water sources is a common means to solve the problem of urban water shortage. This not only significantly enhances the stability of local water resources, but also improves the safety, reliability and risk resistance of urban water supply. However, this also leads to an increase in the engineering elements and hydraulic connectivity of the water supply system, resulting in increasing coordination and complexity of the water supply network. How to combine the characteristics of the water supply system to efficiently utilize and finely allocate limited water resources has become a problem that needs to be solved urgently.

[0003] Existing research on water resource allocation focuses on the balance of water supply and demand for water users, while there is still a gap in the research on the dual water source parallel water supply in the water supply structure of water users, ignoring the importance of dual water sources to water users. Especially in cities that mainly rely on water diversion from abroad, the water supply system mainly serves domestic and industrial water, requiring a high degree of water supply reliability. Once a single water source encounters water pollution or infrastructure failure, it may cause huge economic losses.

[0004] The refined configuration of multiple water sources in urban water supply systems is a large-scale, multi-objective, nonlinear, and multi-constrained risk decision-making problem. The engineering elements and hydraulic connectivity of the water supply system involve a large number of decision variables and nonlinear constraints, which significantly increase the dimension of the model and pose a great challenge to the solution. Traditional optimization algorithms do not perform well in terms of convergence, calculation speed, and initial value sensitivity. How to combine the advantages of multiple optimization algorithms, improve algorithm efficiency, obtain the global optimal solution, and solve the continuity and differentiability of the objective function and constraints at the same time has become a challenge that needs to be solved urgently. Summary of the invention

[0005] Purpose of the invention: To propose a method for optimizing water resource allocation taking into account the parallel water supply of dual water sources in a water plant, and further propose a system that can implement the above-mentioned method for optimizing water resource allocation, so as to solve the above-mentioned problems existing in the prior art.

[0006] In the first aspect, a method for optimizing water resource allocation considering the parallel water supply of dual water sources in a water plant is proposed, and the method comprises the following steps:

[0007] Step 1: Obtain engineering elements and hydraulic connectivity information of the target city’s water supply system, and construct a network topology structure of the target city’s water supply system;

[0008] Step 2: Based on the network topology, water source supply status parameters are introduced to establish a dual-source parallel water supply mechanism for the water plant of the target city water supply system;

[0009] Step 3: Construct a multi-source water supply configuration model for the target city water supply system; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pumping station as the objective function, and introduces multiple constraints;

[0010] Step 4: Analyze the objective function and obtain a typical configuration plan that takes into account both the total water shortage of the water plant and the total energy consumption of the pumping station.

[0011] In a further embodiment of the first aspect, the engineering elements of the target city water supply system in step 1 include: the location of a local reservoir, the location of an external water source, the location of a pump station, and the location of a water plant;

[0012] Hydraulic connectivity information is divided into three categories: local reservoirs directly supplying water plants, external water sources directly supplying water plants, and external water sources transferred to water plants via local reservoirs.

[0013] The network topology of the target city water supply system is constructed based on engineering elements and hydraulic connectivity information, as follows:

[0014] The external water sources in different regions are generalized into directed straight lines of different colors. The thickness of the straight lines is used to represent the trunk pipelines and branch pipelines. The local reservoirs, water plants, and pumping stations are generalized into nodes. The water pipelines are generalized into directed straight lines based on the hydraulic connectivity information. Finally, the network topology of the target city’s water supply system is formed.

[0015] The local reservoirs that receive external water and transfer water to the water plant are defined as networked reservoirs, and the local reservoirs that do not receive external water and transfer water to the water plant are defined as non-networked reservoirs;

[0016] Define the topological relationship between the local reservoir and the water plant as X, Represents the connection and water supply relationship between the local reservoir n and the water plant k. If connected, then ,otherwise ;

[0017] The topological relationship between the external water source and the water plant is defined as Y. Represents the connection and water supply relationship between external water source i and water plant k. If connected, then ,otherwise ;

[0018] The topological relationship matrix between external water sources and networked reservoirs and water plants is defined as Z, Represents that external water source i is connected to networked reservoir m and transferred to water plant k. If connected, then ,otherwise .

[0019] In a further embodiment of the first aspect, step 2 specifically comprises:

[0020] Based on the water supply system network topology, To characterize whether the water source supplies water to water plant k during the optimization process t period, where e and c together represent the water source type, e=0 means that the local reservoir directly supplies the water plant, e=1 means that the external water source directly supplies the water plant, and e=2 means that the external water source is transferred to the water plant through the networked reservoir;

[0021] c is one or more of n, i, and m, representing the nth local reservoir, the ith external water source, and the mth networked reservoir, respectively; k represents the water plant number;

[0022] If water supply ,otherwise .

[0023] In a further embodiment of the first aspect, the dual-source parallel water supply mechanism of the water plant k water plant in period t includes water source quantity guarantee and water source type guarantee;

[0024] The mathematical expression of dual water source quantity guarantee is as follows:

[0025]

[0026] The mathematical expression of dual water source type guarantee is as follows:

[0027]

[0028] In the formula, N represents the total number of local reservoirs; M represents the total number of networked reservoirs; ; I represents the total number of external water sources; Indicates whether the local reservoir n supplies water plant k during period t; Indicates whether the external water source i directly supplies water plant k during period t; It indicates whether the external water source i in period t is transferred to water plant k through the networked reservoir m.

[0029] In a further embodiment of the first aspect, step 3 specifically includes: taking the water supply D1 from the local reservoir to the water plant, the water supply D2 from the external water source directly supplied to the water plant, the water supply D3 from the external water source transferred to the water plant via the local reservoir, and the water supply status of D1, D2, and D3 as decision variables, and taking the minimum total water shortage F1 of the target city water plant and the minimum total energy consumption F2 of the pump station as the objective function, introducing the water plant's dual water source parallel water supply constraints, the water plant's supply and demand balance constraints, the transfer reservoir's inlet and outlet water balance constraints, the water source supply capacity constraints, the water diversion trunk and branch line water pipeline capacity constraints, the pump station working capacity constraints, the decision variable integer constraints, and the decision variable non-negative constraints, to construct a multi-source water supply configuration model for the target city's water supply system.

[0030] The total water shortage F1 of the target city water plant is the smallest:

[0031]

[0032] In the formula, is the water demand of water plant k during period t; , , They are: whether the nth local reservoir supplies water to water plant k in period t, whether the ith external water source supplies water to water plant k in period t, and whether the ith external water source supplies water to the water plant through the mth networked reservoir; is the water supply from the nth local reservoir to water plant k during period t; is the water supply directly from the i-th external water source to water plant k during period t; The water supply from the i-th external water source to water plant k through the m-th networked reservoir; is the connectivity relationship between the nth local reservoir and water plant k; is the connectivity between the i-th external water source and water plant k; is the connectivity between the ith external water source and the mth networked reservoir and the kth water plant; N, I, M, K, and T are the numbers of local reservoirs, external water sources, networked reservoirs, water plants, and time periods, respectively;

[0033] The total energy consumption F2 of the pumping station is minimal:

[0034]

[0035]

[0036] In the formula, is the flow-power curve of the vth pumping station in period t, and the parameters are obtained by fitting the historical power and flow of the vth pumping station. , , ; is the energy consumption of pumping water from the vth pumping station in water plant k during period t; is the water flow rate pumped by the vth pumping station of water plant k in period t; V is the number of pumping stations.

[0037] In a further embodiment of the first aspect, the dual water source parallel water supply constraint of the water plant consists of two parts: a dual water source quantity guarantee constraint and a dual water source type guarantee constraint.

[0038] The dual water source quantity guarantee constraint expression is as follows:

[0039]

[0040] The dual water source type guarantee constraint expression is as follows:

[0041]

[0042] The water plant supply and demand balance constraint expression is as follows:

[0043]

[0044] The balance constraint expression of water inflow and outflow of the transfer reservoir is as follows:

[0045]

[0046] The water supply capacity constraint expression of the water source is as follows:

[0047]

[0048]

[0049] The capacity constraint expression of the water supply pipeline of the water diversion trunk and branch lines is as follows:

[0050]

[0051] The constraint expression of pump station working capacity is as follows:

[0052]

[0053] The decision variable integer constraint expression is as follows:

[0054]

[0055] The non-negative constraint expression of decision variables is as follows:

[0056]

[0057] In the formula, The amount of water transferred from the i-th external water source to the m-th networked reservoir during period t; is the annual total water supply capacity of the i-th external water source in period t; is the total annual water supply capacity of the nth local reservoir; is the water supply capacity of pipeline u during period t; is the maximum pumping capacity of pump station v during period t; N is the total number of local reservoirs; M is the total number of networked reservoirs; ; I represents the total number of external water sources; Indicates whether the local reservoir n supplies water plant k during period t; Indicates whether the external water source i directly supplies water plant k during period t; It indicates whether the external water source i in period t is transferred to water plant k through the networked reservoir m.

[0058] In a further embodiment of the first aspect, step 4 specifically comprises:

[0059] Step 41: While keeping the constraints unchanged, use the NLP algorithm to solve the optimal value of each objective function, and obtain typical solutions when the two objective functions reach the optimal value respectively;

[0060] Step 42, using the typical solution obtained based on the NLP algorithm as part of the initial population of the NSGA-Ⅱ algorithm, and using the NSGA-Ⅱ algorithm to solve the Pareto frontier of the objective functions F1 and F2 and their corresponding solution sets;

[0061] Step 43: Based on the Pareto frontiers of the objective functions F1 and F2 and their corresponding solution sets, a typical configuration scheme that takes into account both the total water shortage of the water plant and the optimal total energy consumption of the pumping station is selected as a recommended scheme.

[0062] The second aspect of the present invention proposes a water resource optimization configuration system, which consists of four parts: an acquisition unit, a water supply mechanism construction unit, a water supply configuration model construction unit, and a configuration scheme output unit.

[0063] The acquisition unit is used to acquire the engineering elements and hydraulic connectivity information of the target city's water supply system and to construct the network topology of the target city's water supply system.

[0064] The water supply mechanism construction unit is based on the network topology, introduces water source supply status parameters, and establishes a dual-source parallel water supply mechanism for the water plant in the target city's water supply system.

[0065] The water supply configuration model building unit is used to build a multi-source water supply configuration model for the target city's water supply system; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pumping station as the objective function, and introduces multiple constraints.

[0066] The configuration scheme output unit is used to analyze the objective function and obtain a typical configuration scheme that takes into account both the total water shortage of the water plant and the total energy consumption of the pumping station.

[0067] When the water resource optimization configuration system is running, it can automatically execute the water resource optimization configuration method considering the parallel water supply of dual water sources of the water plant as disclosed in the first aspect and its further embodiments.

[0068] Beneficial effects: In view of the fact that existing urban water resource allocation research ignores the problem of parallel water supply from dual water sources to water users, this application proposes a water resource optimization allocation method and system that considers the parallel water supply from dual water sources in water plants. This method introduces new parameters based on the network topology of the urban water supply system, and realizes the parallel water supply from dual water sources in water plants by adding constraints. Compared with the enumeration method that requires setting a large number of water source permutation and combination scenarios to achieve the parallel water supply from dual water sources, this method is more intuitive and flexible. Combining the advantages of the NSGA-Ⅱ algorithm and the NLP algorithm, the model containing large-scale, multi-objective, mixed integer nonlinear and multi-constraint conditions can be effectively solved. This method provides a new solution for water supply systems that require multi-source parallel water supply, enriches the content of multi-source configuration, and can make better use of the advantages of interconnection of water supply systems, effectively reduce the energy consumption of water supply pumping stations, enhance the stability of local water resources, and improve the safety, reliability and risk resistance of urban water supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a flow chart of Embodiment 1 of the present invention.

[0070] Figure 2 This is a flow chart of Embodiment 2 of the present invention.

[0071] Figure 3 This is a flow chart of the coupling algorithm solution in Example 2.

[0072] Figure 4 This is a topological diagram of a city water supply system proposed in Example 3 of the present invention.

[0073] Figure 5 It is the Pareto frontier of the total water shortage F1 of the water plant and the total energy consumption F2 of the pumping station considering the objective function of the water plant dual water source parallel water supply model in Example 3.

[0074] Figure 6 It is the Pareto frontier of the total water shortage F1 of the water plant and the total energy consumption F2 of the pumping station without considering the objective function of the dual water source parallel water supply model of the water plant in Example 3.

[0075] Figure 7 This is a comparison diagram of the water source structures of various water plants considering the typical solution of the water plant dual water source parallel water supply model in Example 3.

[0076] Figure 8 This is a comparison chart of the energy consumption of each water plant pump station considering the typical solution of the water plant dual water source parallel water supply model in Example 3. DETAILED DESCRIPTION

[0077] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described.

[0078] Embodiment 1:

[0079] This embodiment proposes a water resource optimization configuration method considering the water plant's dual water source parallel water supply. Figure 1 . Firstly, the hydraulic connectivity information between the engineering elements and engineering elements of the scheduled urban water supply system is obtained, and the network topology of the scheduled urban water supply system is constructed. Then, the water source supply state parameters are introduced based on the connectivity information between the water source and the water plant, and the dual-source parallel water supply mechanism of the water plant of the scheduled urban water supply system is constructed. The dual water source includes the number and type of dual water sources. Then, the multi-source water supply configuration model of the scheduled urban water supply system is constructed, with the minimum total water shortage of the water plant and the minimum total energy consumption of the pumping station as the objective function, and the dual-source parallel water supply constraints of the water plant, the supply and demand balance constraints of the water plant, the balance constraints of the inflow and outflow of the transfer reservoir, the water source supply capacity constraints, the water diversion trunk and branch line water transmission pipeline capacity constraints, the pumping station working capacity constraints, the decision variable 0-1 integer constraints and non-negative constraints are considered. Then, the non-dominated sorting genetic algorithm (NSGA-II) and the non-linear programming algorithm (NLP) are coupled to solve the proposed mixed integer nonlinear programming model. The Pareto frontiers of the two objective functions are obtained, and the optimal typical configuration scheme is obtained based on the Technique fororder preference by similarity to ideal solution (TOPSIS). Finally, a comparative analysis is conducted with the typical configuration scheme of the water resource configuration model that does not consider the water plant's dual water source parallel water supply to evaluate the improvement of this method in improving operational efficiency.

[0080] Embodiment 2:

[0081] Based on the first embodiment, this embodiment further discloses the detailed steps of the method for optimizing water resource allocation considering the water supply of two water sources in parallel in the water plant, see Figure 2 The specific contents are as follows:

[0082] Step 1: Obtain the engineering elements of the predetermined urban water supply system and the hydraulic connectivity information between them, and construct the network topology structure of the predetermined urban water supply system;

[0083] Step 11: Obtain the location and function of the water supply source, lines, pumping stations, water plants and other engineering units of the predetermined city. Generalize different external water sources into directed straight lines of different colors, and the thickness of the straight lines is used to represent the trunk pipeline and branch pipeline. Generalize the local reservoirs, water plants and pumping stations into nodes, and generalize the water pipelines into directed straight lines according to the connectivity between the water source and the water plant. Finally, a geometric figure composed of points and lines is formed, which is the network topology of the predetermined city water supply system.

[0084] Step 12, obtain the connectivity relationship between the water source and the water plant in the predetermined city water supply system, and divide it into three categories: local reservoirs directly supplying water plants, external water sources directly supplying water plants, and external water sources transferring water plants through local reservoirs. Among them, local reservoirs that accept external water sources and transfer water to water plants are defined as networked reservoirs, and local reservoirs that do not accept external water sources and transfer water to water plants are defined as non-networked reservoirs. Define the topological relationship between local reservoirs and water plants as X, Represents the connection and water supply relationship between the local reservoir n and the water plant k. If connected, then ,otherwise The topological relationship between the external water source and the water plant is defined as Y. Represents the connection and water supply relationship between external water source i and water plant k. If connected, then ,otherwise The topological relationship matrix between external water sources and networked reservoirs and water plants is defined as Z. Represents that external water source i is connected to networked reservoir m and transferred to water plant k. If connected, then ,otherwise .

[0085] Step 2: Based on the connection information between the water source and the water plant, water source supply state parameters are introduced to construct a dual-source parallel water supply mechanism for the water plant of the predetermined urban water supply system, where the dual water source includes the number and type of dual water sources;

[0086] Step 21: Based on the water supply system network topology, introduce To characterize whether the water source supplies water to water plant k during the optimization process t period. If it does, ,otherwise . is a decision variable to be optimized, e and c jointly represent the water source type, e = 0, 1, 2, respectively representing the local reservoir directly supplying the water plant, the external water source directly supplying the water plant, and the external water source being transferred to the water plant through the networked reservoir; c = n, i, m, respectively representing the nth local reservoir, the ith external water source and the mth networked reservoir; k represents the water plant serial number.

[0087] Step 22: Whether the local reservoir n supplies water to water plant k during period t Indicates whether the external water source i in period t is directly supplied to water plant k Indicates whether the external water source i in period t is transferred to water plant k through networked reservoir m The dual external water source guarantee mechanism of water plant k in period t is as follows:

[0088] Dual water source quantity guarantee:

[0089]

[0090] Dual water source type guarantee:

[0091]

[0092] Where: N represents the total number of local reservoirs; M represents the total number of networked reservoirs; ; I represents the total number of external water sources.

[0093] Step 3, construct a multi-source water supply configuration model for the predetermined urban water supply system, with the minimum total water shortage of the water plant and the minimum total energy consumption of the pumping station as the objective function, and consider the water plant's dual water source parallel water supply constraints, water plant supply and demand balance constraints, transfer reservoir inlet and outlet water balance constraints, water source water supply capacity constraints, water diversion trunk and branch line water transmission pipeline capacity constraints, pumping station working capacity constraints, decision variables 0-1 integer constraints and non-negative constraints;

[0094] Step 31, determine the objective function, take the water supply of the local reservoir to the water plant, the water supply of the external water source directly supplied to the water plant, the water supply of the external water source transferred to the water plant via the local reservoir, and their respective water supply status as decision variables, and take the minimum total water shortage F1 of the predetermined urban water plant and the minimum total energy consumption F2 of the pump station as the objective function.

[0095] Objective function 1: The total water shortage F1 of the water plant is minimized:

[0096]

[0097] Where: is the water demand of water plant k during period t; , , They are: whether the nth local reservoir supplies water to water plant k in period t, whether the ith external water source supplies water to water plant k in period t, and whether the ith external water source supplies water to the water plant through the mth networked reservoir; is the water supply from the nth local reservoir to water plant k in period t, 10,000 m 3 ; is the water supply from the ith external water source directly to water plant k in period t, 10,000 m 3 ; is the water supply from the i-th external water source to water plant k through the m-th networked reservoir, 10,000 m 3 ; is the connectivity relationship between the nth local reservoir and water plant k; is the connectivity between the i-th external water source and water plant k; is the connectivity relationship between the ith external water source, the mth networked reservoir and the kth water plant; N, I, M, K, and T are the numbers of local reservoirs, external water sources, networked reservoirs, water plants, and time periods, respectively.

[0098] Objective function 2: The total energy consumption F2 of the water supply system pump station is minimized;

[0099]

[0100]

[0101] In the formula, is the flow-power curve of the vth pumping station in period t, and the parameters are obtained by fitting the historical power and flow of the vth pumping station. , , ; is the energy consumption of pumping water from the vth pumping station in water plant k during period t; is the water flow rate pumped by the vth pumping station of water plant k in period t; V is the number of pumping stations.

[0102] Step 32, determine the constraints, including the water plant's dual water source parallel water supply constraint, the water plant's supply and demand balance constraint, the transfer reservoir's water inlet and outlet balance constraint, the water source's water supply capacity constraint, the water diversion trunk and branch line water transmission pipeline capacity constraint, the pump station's working capacity constraint, the decision variable 0-1 integer constraint and the decision variable non-negative constraint.

[0103] Constraint 1: The water plant has two water sources and supplies water in parallel;

[0104] Dual water source quantity guarantee:

[0105]

[0106] Dual water source type guarantee:

[0107]

[0108] Constraint 2: Water plant supply and demand balance constraint:

[0109]

[0110] Constraint 3: Balance constraint of water inflow and outflow of transfer reservoir:

[0111]

[0112] Constraint 4: Water supply capacity constraint:

[0113]

[0114]

[0115] Constraint 5: Water diversion pipeline capacity constraints:

[0116]

[0117] Constraint 6: Pump station capacity constraint:

[0118]

[0119] Constraint 7: 0-1 decision variable integer constraint:

[0120]

[0121] Constraint 8: Decision variable non-negative constraint:

[0122]

[0123] In the formula, The amount of water transferred from the i-th external water source to the m-th networked reservoir during period t; is the annual total water supply capacity of the i-th external water source in period t, 10,000 m 3 ; is the annual total water supply capacity of the nth local reservoir, m 3 ; is the water supply capacity of pipeline u during period t, in ten thousand m 3 ; is the maximum pumping capacity of pump station v during period t, 10,000 m 3 ; N represents the total number of local reservoirs; M represents the total number of networked reservoirs; .

[0124] Step 4: Use the coupled non-dominated sorting genetic algorithm (NSGA-II) and non-linear programming algorithm (NLP) to solve the proposed mixed integer nonlinear programming model. The algorithm flow is shown in Figure 3 The specific process of the algorithm is known to those skilled in the art and will not be described in detail.

[0125] Step 41: While keeping the constraints unchanged, use the NLP algorithm to solve the optimal value of each objective function, and obtain typical solutions when the two objective functions reach the optimal value respectively;

[0126] Step 42: Use the typical solution obtained based on the NLP algorithm as part of the initial population of the NSGA-Ⅱ algorithm, and use the NSGA-Ⅱ algorithm to solve the Pareto frontier of the two objective functions and their corresponding solutions. The NSGA-Ⅱ algorithm first initializes the population according to the problem and performs non-dominated sorting; then, after selection, crossover and mutation operations, the offspring population is obtained. Finally, the parent and offspring populations are merged and non-dominated sorting is performed, and the elite retention strategy is applied to generate the next generation of parent population. Repeat the above process until the number of iterations reaches the set value and ends.

[0127] Step 43: Obtain the Pareto frontiers of the two objective functions, and obtain the optimal typical configuration solution based on the Technique fororder preference by similarity to ideal solution (TOPSIS) method.

[0128] The Pareto frontiers of the two objective functions, total water shortage of the water plant F1 and total energy consumption of the pumping station F2, are analyzed. Based on the Pareto solution set, the approach to the ideal point method is used to select the typical configuration scheme that takes into account both the total water shortage of the water plant and the total energy consumption of the pumping station as the recommended scheme.

[0129] The above algorithm based on the approximation to ideal point method is known to those skilled in the art and will not be described in detail here.

[0130] In addition, after obtaining the optimal typical configuration scheme, it can also be compared and analyzed with the typical configuration scheme of the water resource configuration model that does not consider the water plant's dual water source parallel water supply (comparing the water source supply structure of the water plant of the two typical configuration schemes, and comparing the energy consumption of the water plant pump station of the two typical configuration schemes) to evaluate the improvement of this method in improving operational efficiency.

[0131] Embodiment three:

[0132] This embodiment takes the water supply system of a city in the Pearl River Delta (hereinafter referred to as City A) as the research area, and proposes a multi-water source configuration method considering the water supply of dual water sources in a water plant, as follows:

[0133] S1): Construct the network topology of the water supply system in City A: The water supply network paths of the three external water sources of City A, namely the Dongjiang Water Supply Project, the Dongshen Water Supply Project and the Pearl River Delta Water Resources Allocation Project, the locations of 29 local water supply reservoirs, 29 water plants and their connectivity information and the locations of 11 water supply pumping stations were obtained. Different external water sources were generalized into directed straight lines of different colors, and the thickness of the straight lines was used to represent the trunk pipelines and branch pipelines. Local reservoirs, water plants and pumping stations were generalized into nodes. According to the connectivity relationship between water sources and water plants, water transmission pipelines were generalized into directed straight lines. Finally, the network topology of the water supply system in City A was formed as shown in the figure. Figure 4The total number of local water source reservoirs in City A connected to water plants is X, which is 40. The total number of external water sources directly connected to water plants through pipelines is Y, which is 32, including 16 Dongjiang Water Source Projects connected to water plants through pipelines, 8 Dongshen Water Supply Projects connected to water plants through pipelines, and 8 Pearl River Delta Water Resources Allocation Projects connected to water plants through pipelines; the total number of external water sources transferred to water plants through reservoirs is Z, which is 35, including 8 Dongjiang Water Source Projects transferred through reservoirs, 14 Dongshen Water Supply Projects transferred through reservoirs, and 13 Pearl River Delta Water Resources Allocation Projects transferred through reservoirs.

[0134] S2): Dual water source parallel water supply mechanism of water plant in A city water supply system: Considering that the water supply from local reservoirs accounts for less than 10% of the water supply source of A city, and the inflow runoff of most reservoirs is intercepted, the water supply from local water sources is no longer considered in this water resources allocation. There are 67 decision variables for the water supply of external water sources to the water plant (32+35), plus the decision variable of whether the external water source is in water supply status, the number of decision variables in a single period of the model is 134 (67×2), and the total number of decision variables in the year is 1608 (134×12).

[0135] S3): Construction of multi-source water supply configuration model for urban water supply system A: The water supply capacity of three external water sources, the monthly water demand of 29 water plants, and the flow-power curve data of pumping stations were obtained to determine the two objective functions of minimizing the total water shortage of water plants and minimizing the total energy consumption of pumping stations. At the same time, reservoir characteristic data and water diversion trunk and branch line water transmission pipeline capacity data were collected to determine the constraints.

[0136] S4): Solution of multi-source water supply configuration model of city A water supply system: Under the condition of keeping the constraints unchanged, the NLP algorithm is used to solve the optimal values ​​of the two objective functions respectively, and the typical solutions when the two objective functions reach the optimal state are obtained; the above typical solutions are used as part of the initial population of the NSGA-Ⅱ algorithm, and the NSGA-Ⅱ algorithm is used to solve the Pareto frontier of the two objective functions and their corresponding solutions. The population of the NSGA-Ⅱ algorithm is set to 200. The number of iterations set Gen is set to 10000, and the crossover and mutation distribution indicators are both set to 20.

[0137] S5): Determination of typical solutions for multi-source water supply configuration model considering dual water sources in parallel supply of water from water plants: Figure 5 The Pareto frontier of the total water shortage of the water plant and the total energy consumption of the pumping station under the objective function of the water plant dual water source parallel water supply model (recorded as scenario I) is given. It can be seen that there is an obvious competitive relationship between the two objective functions. As the total water shortage of the water plant decreases, the total energy consumption of the pumping station increases significantly. The F1 range of scenario I is 0.02~18.62×10 4 10,000 m 3 , F2 range 0.01~4.39×1023 kWh. Based on the Pareto solution set, the technique for order preference by similarity to ideal solution (TOPSIS) was used to select the typical configuration scheme of scenario I that takes into account the total water shortage of the water supply system and the total energy consumption of the pumping station as the recommended scheme. The total water shortage of the water plant in the typical scheme is 0.02×10 4 10,000 m 3 The total energy consumption of the pump station is 4.39×10 23 kWh.

[0138] S6): Operational efficiency improvement analysis: Figure 6 The Pareto frontier comparison chart of the two objective functions F1 water plant total water shortage and F2 pump station total energy consumption is given without considering the water plant dual water source parallel water supply model (recorded as scenario II) and scenario I. There is also an obvious competitive relationship between the two objective functions of scenario II. The F1 range of scenario II is 0.02~20.03×10 4 10,000 m 3 , F2 range 0.02~9.90×10 23 kWh. The configuration scheme with approximately the same total water shortage as Scenario I was selected as a typical scheme for comparison. The total multi-source water supply scheduling results of the two scenario typical schemes are shown in Table 1. Figure 8 The energy consumption of the pumping station for water supply of two typical scenarios of the water plant is shown. It can be seen that under the same water supply conditions, the energy consumption of the pumping station considering the water plant's dual water source parallel water supply model is significantly lower. Figure 7 The water supply structure of the water plants in the two typical scenarios is shown. In Scenario I, most water plants are supplied by at least two water sources, and a few water plants rely on only one water source. This is because the existing water supply structure of these few water plants has only one water source. In contrast, in Scenario II, all water plants rely on only a single water source. The water supply structure of Scenario I is more stable and diversified than that of Scenario II.

[0139] Table 1: Results of multi-source water supply total dispatch for two typical scenarios

[0140]

[0141] Embodiment 4:

[0142] The present embodiment discloses a water resource optimization configuration system, which consists of four parts: an acquisition unit, a water supply mechanism construction unit, a water supply configuration model construction unit, and a configuration scheme output unit. The acquisition unit is used to acquire the engineering elements and hydraulic connectivity information of the target city water supply system and construct the network topology of the target city water supply system. Based on the network topology, the water supply mechanism construction unit introduces the water source water supply state parameters and establishes a dual-source parallel water supply mechanism for the water plant of the target city water supply system. The water supply configuration model construction unit is used to construct a multi-source water supply configuration model for the target city water supply system; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pump station as the objective function, and introduces multiple constraints. The configuration scheme output unit is used to analyze the objective function and obtain a typical configuration scheme that takes into account the total water shortage of the water plant and the optimal total energy consumption of the pump station. When the water resource optimization configuration system proposed in this embodiment is running, it can automatically execute the water resource optimization configuration method considering the dual-source parallel water supply of the water plant as disclosed in the above embodiment, and the specific process is not repeated.

[0143] As described above, although the present invention has been shown and described with reference to specific preferred embodiments, it should not be construed as limiting the present invention itself. Various changes may be made to it in form and detail without departing from the spirit and scope of the present invention as defined in the appended claims.

Claims

1. A method for optimizing water resource allocation considering the parallel water supply of dual water sources in a water plant, characterized in that: The steps include: Step 1: Obtain engineering elements and hydraulic connectivity information of the target city water supply system, and construct the network topology of the target city water supply system; the engineering elements include: the location of the local reservoir, the location of the external water source, the location of the pump station, and the location of the water plant; the hydraulic connectivity information is divided into three categories: the local reservoir directly supplies the water plant, the external water source directly supplies the water plant, and the external water source is transferred to the water plant via the local reservoir; Step 2: Based on the network topology, water source supply state parameters are introduced to establish a dual-source parallel water supply mechanism for the water plant of the target city water supply system; Step 3: construct a multi-source water supply configuration model for the target city water supply system; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pump station as the objective function, and introduces multiple constraints, including: The water supply volume D1 supplied by the local reservoir to the water plant, the water supply volume D2 supplied directly by the external water source to the water plant, the water supply volume D3 supplied by the external water source to the water plant via the local reservoir, and the water supply status of D1, D2, and D3 are taken as decision variables. The minimum total water shortage F1 of the target city water plant and the minimum total energy consumption F2 of the pump station are taken as the objective function. The constraints of the water plant's dual water source parallel supply, the water plant's supply and demand balance constraints, the water transfer reservoir's inflow and outflow balance constraints, the water source's water supply capacity constraints, the water diversion trunk and branch line water transmission pipeline capacity constraints, the pump station's working capacity constraints, the decision variable integer constraints, and the decision variable non-negative constraints are introduced to construct a multi-source water supply configuration model for the target city's water supply system. Among them, the total water shortage F1 of the target city water plant is the smallest, and the expression is as follows: ； In the formula, is the water demand of water plant k during period t; , , They are: whether the nth local reservoir supplies water to water plant k in period t, whether the ith external water source supplies water to water plant k in period t, and whether the ith external water source supplies water to the water plant through the mth networked reservoir; is the water supply from the nth local reservoir to water plant k during period t; is the water supply directly from the i-th external water source to water plant k during period t; The water supply from the i-th external water source to water plant k through the m-th networked reservoir; is the water supply relationship between the nth local reservoir and water plant k; is the connection and water supply relationship between the i-th external water source and water plant k; is the water supply relationship between the i-th external water source and the m-th networked reservoir and the k-th water plant; N, I, M, K, and T are the numbers of local reservoirs, external water sources, networked reservoirs, water plants, and time periods, respectively; The total energy consumption F2 of the pumping station is the smallest, and the expression is as follows: ； ； In the formula, is the flow-power curve of the vth pumping station in period t, and the parameters are obtained by fitting the historical power and flow of the vth pumping station. , , ; is the energy consumption of pumping water from the vth pumping station in water plant k during period t; is the water flow rate of water plant k pumped by the vth pumping station during period t; V is the number of pumping stations; Step 4: Analyze the objective function to obtain a typical configuration plan that takes into account both the total water shortage of the water plant and the total energy consumption of the pump station.

2. The water resource optimization configuration method considering the water plant's dual water source parallel water supply according to claim 1 is characterized in that: The network topology of the target city water supply system is constructed based on the engineering elements and hydraulic connectivity information, and the steps are as follows: The external water sources in different regions are generalized into directed straight lines of different colors, and the thickness of the straight lines is used to represent the trunk pipelines and branch pipelines; the local reservoirs, water plants, and pumping stations are generalized into nodes; the water pipelines are generalized into directed straight lines according to the hydraulic connectivity information; and finally the network topology of the target city water supply system is formed; The local reservoirs that receive external water and transfer water to the water plant are defined as networked reservoirs, and the local reservoirs that do not receive external water and transfer water to the water plant are defined as non-networked reservoirs; Define the topological relationship between the local reservoir and the water plant as X, Represents the connection and water supply relationship between the local reservoir n and the water plant k. If connected, then ,otherwise ; The topological relationship between the external water source and the water plant is defined as Y. Represents the connection and water supply relationship between external water source i and water plant k. If connected, ,otherwise ; The topological relationship matrix between external water sources and networked reservoirs and water plants is defined as Z, Represents that external water source i is connected to networked reservoir m and transferred to water plant k. If connected, then ,otherwise .

3. The water resource optimization configuration method considering the water plant's dual water source parallel water supply according to claim 2 is characterized in that: Step 2 further includes: Based on the water supply system network topology, To characterize whether the water source supplies water to water plant k during the optimization process t period, where e and c together represent the water source type, e=0 means that the local reservoir directly supplies the water plant, e=1 means that the external water source directly supplies the water plant, and e=2 means that the external water source is transferred to the water plant through the networked reservoir; c is one or more of n, i, and m, representing the nth local reservoir, the ith external water source, and the mth networked reservoir, respectively; k represents the water plant number; If water supply ,otherwise .

4. The water resource optimization configuration method considering the water plant's dual water source parallel water supply according to claim 3 is characterized in that: The dual water source parallel water supply mechanism of the water plant k in period t includes water source quantity guarantee and water source type guarantee; The mathematical expression of dual water source quantity guarantee is as follows: ； The mathematical expression of dual water source type guarantee is as follows: ； In the formula, N represents the total number of local reservoirs; M represents the total number of networked reservoirs; ; I represents the total number of external water sources; Indicates whether the local reservoir n supplies water plant k during period t; Indicates whether the external water source i directly supplies water plant k during period t; It indicates whether the external water source i in period t is transferred to water plant k through the networked reservoir m.

5. The water resource optimization configuration method considering the water plant's dual water source parallel water supply according to claim 1 is characterized in that: The water plant's dual water source parallel water supply constraints include dual water source quantity guarantee and dual water source type guarantee; The water plant supply and demand balance constraint expression is as follows: ； The balance constraint expression of the water inflow and outflow of the transfer reservoir is as follows: ； The water supply capacity constraint expression of the water source is as follows: ； ； The water diversion trunk and branch water pipeline capacity constraint expression is as follows: ； The pump station working capacity constraint expression is as follows: ； The decision variable integer constraint expression is as follows: ； The non-negative constraint expression of the decision variable is as follows: ； In the formula, The amount of water transferred from the ith external water source to the mth networked reservoir during period t; is the annual total water supply capacity of the i-th external water source in period t; is the total annual water supply capacity of the nth local reservoir; is the water supply capacity of pipeline u during period t; is the maximum pumping capacity of pump station v in period t; the number of networked reservoirs M is less than the total number of local reservoirs N.

6. The method for optimizing water resource allocation considering the water supply from two water sources in parallel in a water plant according to claim 1 is characterized in that: Step 4 further includes: Step 41: While keeping the constraints unchanged, use the NLP algorithm to solve the optimal value of each objective function, and obtain typical solutions when the two objective functions reach the optimal value respectively; Step 42, using the typical solution obtained based on the NLP algorithm as part of the initial population of the NSGA-Ⅱ algorithm, and using the NSGA-Ⅱ algorithm to solve the Pareto frontier of the objective functions F1 and F2 and their corresponding solution sets; Step 43: Based on the Pareto frontiers of the objective functions F1 and F2 and their corresponding solution sets, a typical configuration scheme that takes into account both the total water shortage of the water plant and the optimal total energy consumption of the pumping station is selected as a recommended scheme.

7. A water resource optimization allocation system, characterized in that: include: Get unit; The acquisition unit is used to acquire the engineering elements and hydraulic connectivity information of the target city water supply system and construct the network topology structure of the target city water supply system; A water supply mechanism construction unit; based on the network topology, the water supply mechanism construction unit introduces water source water supply state parameters to establish a dual-source parallel water supply mechanism for the water plant of the target city water supply system; A water supply configuration model building unit; the water supply configuration model building unit is used to build a multi-source water supply configuration model for the target city water supply system; the multi-source water supply configuration model takes the minimum total water shortage of the water plant and the minimum total energy consumption of the pump station as the objective function, and introduces multiple constraints; Configuration scheme output unit; the configuration scheme output unit is used to analyze the objective function to obtain a typical configuration scheme that takes into account the total water shortage of the water plant and the total energy consumption of the pump station; When the water resource optimization configuration system is running, it automatically executes the water resource optimization configuration method considering the parallel water supply of dual water sources of the water plant as described in any one of claims 1 to 6.

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