A watershed power system optimal dispatching method considering artificial precipitation enhancement regulation

Abstract

The present application belongs to the technical field of river basin power system, and particularly relates to a river basin power system optimal dispatching method considering artificial rain regulation. The method comprises: constructing a target function with the minimum total system operation cost as the target function, wherein the total system operation cost comprises the cost of thermal power generation and the cost of artificial rainfall; constructing a space-time constraint of artificial rainfall operation, a rainfall inhibition model of new energy output, and a rainfall-runoff lag response model, and completely considering the reservoir capacity and power generation flow of hydropower stations, the climbing of thermal power units and the power flow operation constraint of the power grid; the method can effectively coordinate the artificial rain decision and the multi-source power dispatching, and improve the hydropower generation while meeting the system power balance. The dispatching model can accurately depict the process that the wind power and photovoltaic output are limited during the rainfall period and the output is restored after the rainfall ends, and realizes the modeling of the coupling influence of rainfall-new energy.

Description

Technical Field

[0001] This invention belongs to the technical field of watershed power systems, and specifically relates to an optimized scheduling method for watershed power systems that takes into account artificial rain enhancement control. Background Technology

[0002] With the deepening of the global energy transition, the installed capacity of new energy power generation, represented by wind power and photovoltaics, continues to grow, and its penetration rate in the power system is constantly increasing. However, the randomness and volatility of new energy output pose serious challenges to the safe and stable operation of the power system, especially placing higher demands on the system's peak-shaving capacity. Traditional thermal power units, as the main regulating power source, have high operating costs and slow response speeds, making it difficult to fully meet the flexible regulation needs of today's power system. Therefore, how to fully tap the potential of various regulation resources within the system and achieve coordinated optimization of multi-energy complementarity has become a research hotspot in the field of power system dispatching.

[0003] Currently, power system dispatching in river basins has become a research hotspot, while artificial rain enhancement, as a novel technology, has become an important means of weather regulation for flood control, drought relief, and other tasks. Due to its advantages, artificial rain enhancement has been applied to hydropower stations. However, because artificial rain enhancement can trigger weather changes, research shows that it has already had a significant impact on the power grid.

[0004] Therefore, this invention proposes an optimized scheduling strategy for watershed power systems that considers artificial rain enhancement, which can provide new ideas and methods for power systems to utilize weather modification technology to improve regulation capabilities and promote the consumption of new energy sources. Summary of the Invention

[0005] The purpose of this invention is to provide an optimized scheduling method for a watershed power system that takes into account artificial rain enhancement regulation. This method can effectively coordinate artificial rain enhancement decisions and multi-source power scheduling, thereby increasing hydropower generation while satisfying system power balance.

[0006] To address the aforementioned technical problems, this invention provides a method for optimizing the scheduling of a river basin power system considering artificial rainfall enhancement, comprising: By constructing a function with the objective of minimizing the total system operating cost, which includes the cost of thermal power generation and the cost of artificial rainmaking; By constructing a model of spatiotemporal constraints for artificial rainfall operations, a model of the suppression of new energy output by rainfall, and a model of rainfall-runoff lag response, and fully considering the constraints of hydropower station reservoir capacity and power generation flow, thermal power unit ramping and power grid flow operation; The proposed method can effectively coordinate artificial rain enhancement decisions and multi-source power dispatch, thereby increasing hydropower generation while satisfying system power balance.

[0007] Preferably, the objective function includes: In the formula: For total cost, For the fuel cost of thermal power plants, For the cost of artificial rainmaking, For the number of thermal power plants, The total number of time periods. This represents the fuel cost coefficient for thermal power plants. For the first A thermal power plant during the period 'output power' For the first A thermal power plant during the period The running status, This represents the number of rainfall zones. For the cost of artificial rainmaking, To determine whether rainfall will occur in the block.

[0008] Preferably, the spatiotemporal constraints of the artificial rainmaking operation include: In the formula: This refers to the start time of artificial rainmaking. , The earliest and latest times for artificial rainmaking.

[0009] Preferably, the model for suppressing the output of new energy sources by rainfall includes: In the formula: Contribute to the grid connection of wind and solar power. This represents the maximum output of wind and solar power. The duration of the rainfall's impact. The inhibition coefficient of rainfall on wind and solar power output. For time indexing, Index for wind and solar power generators express and There is a connection. These refer to the on-fly and off-fly reserve capacities of the wind farm, respectively. These refer to the upper and lower spinning reserve capacities of the photovoltaic power station.

[0010] Preferably, the rainfall-runoff hysteresis response model includes: In the formula: To increase runoff from rainfall, To increase runoff through artificial rainfall, To increase runoff from natural rainfall, In order to be in Rainfall distribution at different times The proportion coefficient that forms runoff at any given time. For rainfall, The enhancement factor of artificial rainfall on rainfall amount, For total runoff, It is natural runoff.

[0011] Preferably, the reservoir capacity and power generation flow of the hydropower station include the following operational constraints:

[0012] In the formula: The power generation flow rate of the hydropower station. This represents the maximum power generation flow rate. For the water discharge flow of the hydropower station, This represents the maximum discharge flow rate. This refers to the total discharge flow of the hydropower station. This represents the maximum total discharge flow. The net head height of the hydropower station. The upstream water level of the hydropower station This refers to the tailrace level of the hydroelectric power station. This is the reservoir capacity relationship coefficient. For the reservoir capacity, The minimum and maximum reservoir capacity are... The power generation capacity of the hydroelectric generator units, This represents the maximum power output of the hydroelectric generator unit. The density of water, For the efficiency of hydropower units, For total runoff, This is the discharge flow from the previous reservoir. For the initial storage capacity, For the upstream and downstream rotational reserve capacity of the hydropower station, This refers to the uphill and downhill climbing rates of the hydroelectric generator unit.

[0013] Preferably, the climbing function of the thermal power unit includes the following operational constraints: In the formula: This refers to the minimum and maximum output of a thermal power plant unit. The actual output of the thermal power unit. The downhill ramp rate of the thermal power plant. The ramp-up rate for thermal power plants. This refers to the minimum start-up and shutdown time for thermal power units. The first The rotating reserve capacity provided by the thermal power unit is M, which is an infinite positive number.

[0014] Preferably, the power flow includes the following operating constraints: In the formula: For load power, The phase angle at the node, The minimum and maximum values ​​of the node phase angle. For line impedance, For line power, This indicates the maximum power output of the line. This is a balanced node.

[0015] Preferably, the system also includes the following system rotational standby constraints: In the formula: These are the system's up-rotation and down-rotation reserve requirement coefficients, respectively. For nodes exist Load power at any given time.

[0016] The present invention also provides a basin power system optimization scheduling device that takes into account artificial rain enhancement regulation, and executes a basin power system optimization scheduling method that takes into account artificial rain enhancement regulation as described above.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention addresses the problems of insufficient peak-shaving capacity and high regulation costs of thermal power in the context of renewable energy integration. It proposes an optimized scheduling strategy for river basin power systems that considers artificial rainfall enhancement. The model aims to minimize the total system operating cost, comprehensively considering both thermal power fuel costs and artificial rainfall costs. It establishes spatiotemporal constraints for artificial rainfall operations, characterizes the inhibitory effect of rainfall on wind and solar power output, and constructs coupled constraints considering surface runoff and confluence delays in rainfall-runoff-generation. Simulation results based on the IEEE 30-bus system demonstrate that the proposed model can effectively coordinate artificial rainfall decision-making and multi-source power dispatch, increasing hydropower generation while maintaining system power balance. Comparative analysis shows that the artificial rainfall scheme reduces system operating costs by 11.08% compared to the natural rainfall scheme, validating the model's economic effectiveness. Attached Figure Description

[0018] Figure 1 This is a flowchart of a watershed power system optimization scheduling method that takes artificial rain enhancement into account, according to the present invention.

[0019] Figure 2 This is a schematic diagram of the IEEE 30-node large power grid system of the present invention.

[0020] Figure 3 This is a comparison chart of wind and solar power output in this invention.

[0021] Figure 4 This is a comparison chart showing the impact of rainfall on the output of photovoltaic power plants according to the present invention.

[0022] Figure 5This is a power balance diagram of the artificial rainfall scheme of the present invention.

[0023] Figure 6 This is a power balance diagram for the natural rainfall scheme of the present invention. Detailed Implementation

[0024] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the illustration of the embodiments of the present invention.

[0025] like Figure 1 As shown, this embodiment of the invention specifically provides a method for optimizing the scheduling of a river basin power system considering artificial rain enhancement, including the following steps: By constructing a function with the objective of minimizing the total system operating cost, which includes the cost of thermal power generation and the cost of artificial rainmaking; By constructing a model of spatiotemporal constraints for artificial rainfall operations, a model of the suppression of new energy output by rainfall, and a model of rainfall-runoff lag response, and fully considering the constraints of hydropower station reservoir capacity and power generation flow, thermal power unit ramping and power grid flow operation; The proposed method can effectively coordinate artificial rain enhancement decisions and multi-source power dispatch, thereby increasing hydropower generation while satisfying system power balance.

[0026] As a further explanation of the scheduling model of this invention, the objective function of the scheduling model is to minimize the total cost, which includes the power generation cost of thermal power plants and the cost of artificial rainfall. The objective function is as follows: Equation (1) defines the overall objective function as minimizing the sum of the fuel cost of thermal power plants and the cost of artificial rainfall. Equation (2) calculates the fuel cost of thermal power plants, which includes quadratic cost terms, linear cost terms, and fixed start-up and shutdown costs. Equation (3) represents the cost of artificial rainfall, which is related to the rainfall decision variables of the artificial rainfall block.

[0027] (1) (2) (3) Where: Represents total cost, Represents the fuel cost of thermal power plants. Represents the cost of artificial rainmaking. Represents the number of thermal power plants. Total number of time periods , , The fuel cost coefficient representing a thermal power plant Representing the A thermal power plant during the period 'output power' Representing the A thermal power plant during the period The running status, Represents the number of rainfall blocks. Represents the cost of artificial rainmaking. This indicates whether rainfall occurred in the represented block.

[0028] As a further explanation of the scheduling model of the present invention, it also includes spatiotemporal constraints for artificial rainfall operations. The artificial rainfall constraints of the scheduling model include rainfall frequency and mutual exclusion constraints, as well as rainfall time window constraints, as follows: Equation (4) requires that all blocks must complete one rainfall operation within the scheduling cycle, and also realizes the mutual exclusion between artificial rainfall and natural rainfall. Equation (5) restricts the time window of the blocks affected by artificial rainfall.

[0029] (4) (5) In the formula: This represents the start time of artificial rainmaking. , This represents the earliest and latest time of artificial rainmaking.

[0030] As a further explanation of the scheduling model of this invention, it also includes constraints on new energy power generation. The specific constraints on new energy power generation in this scheduling model are as follows: New energy power generation includes wind power generation and photovoltaic power generation, and the constraints are as follows: Equations (6) and (7) respectively constrain the maximum output range of wind power and photovoltaic power generation. The maximum output is affected by rainfall. During the period of rainfall, the output will be limited, and the maximum output will recover after the rainfall ends. Equations (8) and (9) respectively represent the vertical rotation reserve constraints of wind power and photovoltaic power station units. Similarly, the maximum output is affected by rainfall.

[0031] (6) (7) (8) (9) In the formula: , Representing the contribution of wind and solar power to grid connection, , Represents the maximum output of wind and solar power. This represents the duration of the rainfall's impact. This represents the inhibition coefficient of rainfall on wind and solar power output. Represents a time index. Represents the index of wind and solar power machines. express and There is a connection. , These represent the upper and lower spinning reserve capacities of the wind farm, respectively. , These represent the upper and lower spinning reserve capacities of a photovoltaic power station, respectively.

[0032] In addition, rainfall generates surface runoff, some of which is absorbed by the land, with the remainder flowing into the river channels. Experience shows that the land absorbs a significant amount in the first hour, but its absorption capacity decreases afterward; furthermore, there is a time delay between rainfall and its arrival at the river. As a further explanation of the scheduling model of this invention, the hydropower constraints of the scheduling model are also included, as follows: Considering the enhancement effect and lag effect of rainfall on runoff, the runoff constraints are established as follows: Equation (10) defines rain-enhanced runoff, which includes the effects of artificial and natural rainfall. Equation (11) calculates the runoff increment (including time-lag distribution) brought about by artificial rainfall blocks. Equation (12) calculates the runoff increment (including time-lag distribution) brought about by natural rainfall blocks. Equation (13) ensures that rain-enhanced runoff is non-negative. Equation (14) indicates that the total runoff is the sum of natural runoff and rain-enhanced runoff.

[0033] (10) (11) (12) (13) (14) In the formula: Represents rain-inducing runoff. Represents runoff from artificial rainfall enhancement. Represents natural rainfall-induced runoff. Represents the time when rainfall occurs. This represents the time when runoff is affected. Representative at Rainfall distribution at different times The proportion coefficient that forms runoff at any given time. Represents rainfall. This represents the enhancement coefficient of rainfall by artificial rainfall. Represents total runoff, Represents natural runoff.

[0034] Based on the operating characteristics of hydropower stations, the following operating constraints for hydropower units are established: Equation (15) restricts the power generation flow of the hydropower unit to not exceed the maximum allowable value. Equation (16) restricts the water discharge flow of the hydropower unit to not exceed the maximum allowable value. Equation (17) indicates that the total discharge flow is the sum of the power generation flow and the water discharge flow. Equation (18) restricts the total discharge flow of the hydropower unit to not exceed the maximum discharge flow. Equation (19) calculates the net head of the hydropower unit. Equation (20) establishes a linear relationship between the upstream water level and the reservoir capacity. Equation (21) restricts the reservoir capacity to be between the maximum and minimum reservoir capacity. Equation (22) restricts the power generation of the hydropower unit to not exceed the maximum allowable value. Equation (23) calculates the power generation of the hydropower unit based on the product of head and flow. Equation (24) restricts the reservoir capacity = reservoir capacity in the previous period + total runoff + discharge flow in the previous period - discharge flow. Equation (25) requires the reservoir capacity to return to the initial value at the end of the scheduling cycle. Equation (26) constrains the spinning reserve capacity of the hydropower unit.

[0035] (15) (16) (17) (18) (19) (20) (twenty one) (twenty two) (twenty three) (twenty four) (25) (26) In the formula: Represents the power generation flow of a hydroelectric power station. Represents the maximum power generation flow rate. Represents the discharge flow of water from the hydropower station. This represents the maximum discharge flow rate. Represents the total discharge flow of the hydropower station. This represents the maximum total discharge flow. Represents the net head height of the hydropower station. Represents the upstream water level of the hydropower station. Represents the tailrace level of the hydroelectric power station. , The reservoir capacity relationship coefficient represents the water storage capacity. Represents the reservoir capacity. , Represents the minimum and maximum reservoir capacity. Represents the power generation capacity of the hydroelectric generator unit. This represents the maximum power output of the hydroelectric generator unit. Represents the density of water. This represents the efficiency of the hydroelectric power unit. Represents total runoff, This represents the outflow from the previous reservoir. Represents the initial storage capacity. , Represents the upper and lower spinning reserve capacity of a hydroelectric power station. , This represents the uphill and downhill climbing rates of the hydroelectric generator unit.

[0036] Considering the operating characteristics and physical limitations of thermal power units, the following operating constraints are established: Equation (27) constrains the output of the thermal power plant: 0 when shut down, and within the minimum-maximum output range when started. Equation (28) limits the downhill ramp rate of the thermal power plant, and relaxes the constraint when switching between start-up and shutdown states. Equation (29) limits the uphill ramp rate of the thermal power plant, and relaxes the constraint when switching between start-up and shutdown states. Equations (30) and (31) ensure that the operation of the thermal power plant units is subject to the minimum start-up and minimum shutdown time limits. Equation (32) constrains the spinning reserve capacity of the thermal power units.

[0037] (27) (28) (29) (30) (31) (32) In the formula: , This represents the minimum and maximum output of a thermal power plant unit. This represents the actual output of the thermal power unit. This represents the downhill ramp rate of a thermal power plant. This represents the rate at which a thermal power plant climbs an incline. , This represents the minimum start-up and shutdown time for thermal power units. , The first The rotating reserve capacity provided by the thermal power unit is M, which is an infinite positive number.

[0038] As a further illustration of the embodiments of the present invention, the following power flow constraints are also included: Considering the requirements for safe operation of the power grid, the following power flow constraints are established: Equation (33) satisfies the node power balance: Injected power (thermal / hydro / wind / solar) - load - outflow power + inflow power = 0. Equation (34) restricts the node phase angle to a reasonable range. Equation (35) describes the DC power flow equation: line power is directly proportional to the phase angle difference and inversely proportional to the reactance. Equation (36) restricts the line transmission power to a limited range. Equation (37) sets node 1 as the saturated node with a phase angle of 0.

[0039] (33) (34) (35) (36) (37) In the formula: Represents load power. , Represents the phase angle of the node. , Represents the minimum and maximum phase angles of the nodes. Represents line impedance. Represents line power. This indicates the maximum power output of the line. This represents a balanced node.

[0040] As a further illustration of the embodiments of the present invention, the following system rotational standby constraints are also included: At the same time, the rotating reserve capacity of the entire system is constrained. As shown below: Equation (38) constrains the rotating reserve capacity of all output units, and both the upper and lower rotating reserves must meet the load requirements.

[0041] (38) In the formula: , These represent the system's upper and lower spin-off reserve requirement coefficients, respectively. Representative node exist Load power at any given time.

[0042] As a further illustration of the embodiments of the present invention, the following numerical examples are also included: (1) Simulation parameters: To verify the effectiveness of the scheduling model established in this invention, the following methods were used: Figure 2The 30-node power system shown is used for simulation analysis, with a scheduling cycle of 24 hours and a time step of 1 hour. The model includes 2 thermal power plants, 3 trapezoidal hydropower stations, 2 wind farms, and 2 photovoltaic power stations. The thermal power plants are located at nodes 1 and 8, the hydropower stations are located at nodes 7, 10, and 21, the wind farms are located at nodes 17 and 25, and the photovoltaic power stations are located at nodes 5 and 27. The system's unit parameters are set as follows: Thermal power units have a maximum output of 300MW and a minimum output of 50MW, with a start-up and shutdown cost of 8075.9 yuan. The quadratic and primary fuel cost coefficients are 1.1197 yuan and 189.35 yuan, respectively. The maximum reservoir capacities of the tiered hydropower stations are 700 million, 800 million, and 900 million cubic meters, with initial reservoir capacities of 450 million, 550 million, and 650 million cubic meters. The head-capacity relationship is a linear function. The maximum output of wind farms and photovoltaic power stations is based on measured data, taking into account rainfall to mitigate its output suppression effect, with a suppression coefficient of 0.2. Load data uses typical daily curves.

[0043] Regarding rainfall, three rainfall blocks were set up, affecting nodes 7, 10, and 21 of the hydropower station respectively. Blocks 1 and 2 are for artificial rain enhancement, while block 3 is for natural rainfall. The cost of artificial rain enhancement is 30,000 yuan per instance, with a rainfall of 600 mm. The artificial rain enhancement coefficient is 0.3, and the runoff delay distribution coefficients are 0.3 and 0.7 respectively. The duration of the rainfall's suppression of wind and solar power output is 2 hours.

[0044] On a computer configured with 3.20GHz, 16GB RAM, and running Windows 11, the model was solved using MATLAB R2022b platform code and the Gurobi solver was called via YALMIP. All optimization processes were completed within 5 minutes.

[0045] (2) Simulation results: Simulation optimization results show that artificial rain enhancement operations were carried out in Block 1 starting at 2 PM and lasting for 2 hours (2 PM - 3 PM). This only affected the output of the photovoltaic power station at node 5 in Block 1. Simultaneously, the rainfall operation met the requirement that all blocks should only experience one rainfall event within the scheduling cycle and complied with the rainfall time window constraint. The rainfall decision effectively increased the runoff of downstream hydropower stations, providing additional regulation capacity for hydropower generation.

[0046] In terms of new energy output, Figure 3 Figures (a) and (b) show the maximum power output of wind farms and photovoltaic power plants under the influence of rainfall and without the influence of rainfall, respectively. The optimization results show that the maximum power output of photovoltaic power plant No. 1, located below the rainfall-affected block, was suppressed during the two hours from 2 PM to 3 PM, with the output dropping to 80% of the predicted maximum value, while the output of the other new energy power plants was not affected.

[0047] Figure 4 The ideal maximum output of Photovoltaic Power Station No. 1 from 1 PM to 4 PM and the actual maximum output after being affected are shown. The results indicate that the established model can accurately characterize the spatiotemporal suppression effect of rainfall on renewable energy output.

[0048] The output and load power balance of each unit are as follows: Figure 5 As shown, the system enables power balance to be achieved through coordinated scheduling of thermal power plants, hydropower stations, wind power and photovoltaic power generation devices, and loads.

[0049] (3) Comparative analysis: To illustrate the value of artificial rainfall regulation, a comparative scheme was set up for economic analysis. The comparative scheme involved no artificial rainfall enhancement operations, only default natural rainfall. Compared to the scheme with artificial rainfall enhancement, the comparative scheme (without artificial rainfall intervention) only had natural rainfall in the third block. The power output and load balance of each unit are as follows: Figure 6 As shown in the diagram, it can be seen that the output of thermal power in the comparative scheme is significantly larger than that in the artificial rainmaking scheme, which will definitely increase the cost.

[0050] Table 1 shows a cost comparison between the two schemes. Thanks to artificial rain enhancement in the first block, the runoff of the hydropower stations in all three blocks can be increased, correspondingly increasing hydropower generation and thus reducing thermal power generation and costs. The final cost of Scheme A is 1,782,203.90 yuan. Scheme B, however, relies solely on natural rainfall in the third block, affecting only the hydropower station output in that block. Compared to the scheme with artificial rain enhancement, its impact range is significantly reduced, resulting in decreased hydropower generation and reliance on thermal power generation. The final cost is 2,004,457.01 yuan. In comparison, the artificial rain enhancement scheme reduces costs by 11.08%, demonstrating significant economic benefits. This result validates the superiority of the proposed scheme.

[0051] Table 1 Cost Comparison Thermal power plant (yuan) 1752203.90 2004457.01 Artificial rainmaking (yuan) 30000 0 Total cost (RMB) 1782203.90 2004457.01 In summary, this invention proposes an optimized scheduling strategy for watershed power systems that considers artificial rain enhancement. Through theoretical modeling and simulation analysis, the following conclusions can be drawn: 1) Artificial rain enhancement operations were incorporated into the framework of power system optimal dispatching. A comprehensive optimization model was established, considering the spatiotemporal distribution characteristics of rainfall and its impact on renewable energy output and runoff processes. This approach is both forward-looking and feasible. It not only expands the application scenarios of weather modification technology in power systems but also provides a new way to improve hydropower regulation capabilities and system operational economy.

[0052] 2) Artificial rain enhancement has a significant spatiotemporal inhibitory effect on new energy power generation. The model established in this invention can accurately depict the process of wind and photovoltaic power output being limited during rainfall and recovering after rainfall ends, thus realizing the modeling of the coupling effect of rainfall and new energy.

[0053] 3) The runoff enhancement effect and lag effect of rainfall provide additional regulation capabilities for hydropower generation. By establishing a runoff constraint model that considers the surface runoff generated by rainfall and the confluence delay, the enhancement effect of artificial rainfall on the runoff process is effectively described, thereby improving the level of hydropower dispatch.

[0054] 4) Comparative analysis shows that the artificial rain enhancement scheme can reduce system operating costs by 11.08% compared with the natural rainfall scheme. Thanks to the enhanced runoff effect of artificial rainfall, hydropower generation is increased and the proportion of thermal power output is reduced. While meeting the system power balance, the operating economy is significantly improved, verifying the superiority of the proposed scheme.

[0055] The above description is merely a description of preferred embodiments of the present invention and is not intended to limit the scope of the present invention in any way. Any changes or modifications made by those skilled in the art based on the above disclosure shall fall within the protection scope of the claims.

Claims

1. A method for optimizing the scheduling of a river basin power system considering artificial rain enhancement, characterized in that, include: By constructing a function with the objective of minimizing the total system operating cost, which includes the cost of thermal power generation and the cost of artificial rainmaking; By constructing a model of spatiotemporal constraints for artificial rainfall operations, a model of the suppression of new energy output by rainfall, and a model of rainfall-runoff lag response, and fully considering the constraints of hydropower station reservoir capacity and power generation flow, thermal power unit ramping and power grid flow operation; The proposed method can effectively coordinate artificial rain enhancement decisions and multi-source power dispatch, thereby increasing hydropower generation while satisfying system power balance.

2. The method for optimizing the scheduling of a river basin power system considering artificial rain enhancement as described in claim 1, characterized in that, The objective function includes: In the formula: For total cost, For the fuel cost of thermal power plants, For the cost of artificial rainmaking, For the number of thermal power plants, The total number of time periods. This represents the fuel cost coefficient for thermal power plants. For the first A thermal power plant during the period 'output power' For the first A thermal power plant during the period The running status, This represents the number of rainfall zones. For the cost of artificial rainmaking, To determine whether rainfall will occur in the block.

3. The method for optimizing the scheduling of a river basin power system considering artificial rain enhancement as described in claim 2, characterized in that, The spatiotemporal constraints of the artificial rainmaking operation include: In the formula: This refers to the start time of artificial rainmaking. , The earliest and latest times for artificial rainmaking.

4. The method for optimal scheduling of a river basin power system considering artificial rain enhancement as described in claim 3, characterized in that, The model for suppressing the output of new energy sources by rainfall includes: In the formula: Contribute to the grid connection of wind and solar power. This represents the maximum output of wind and solar power. The duration of the rainfall's impact. The inhibition coefficient of rainfall on wind and solar power output. For time indexing, Index for wind and solar power generators express and There is a connection. These refer to the on-fly and off-fly reserve capacities of the wind farm, respectively. These refer to the upper and lower spinning reserve capacities of the photovoltaic power station.

5. The method for optimal scheduling of a river basin power system considering artificial rain enhancement as described in claim 4, characterized in that, The rainfall-runoff hysteresis response model includes: In the formula: To increase runoff from rainfall, To increase runoff through artificial rainfall, To increase runoff from natural rainfall, In order to be in Rainfall distribution at different times The proportion coefficient that forms runoff at any given time. For rainfall, The enhancement factor of artificial rainfall on rainfall amount, For total runoff, It is natural runoff.

6. The method for optimal scheduling of a river basin power system considering artificial rain enhancement as described in claim 5, characterized in that, The reservoir capacity and power generation flow of the hydropower station are subject to the following operational constraints: In the formula: The power generation flow rate of the hydropower station. This represents the maximum power generation flow rate. For the water discharge flow of the hydropower station, This represents the maximum discharge flow rate. This refers to the total discharge flow of the hydropower station. This represents the maximum total discharge flow. The net head height of the hydropower station. The upstream water level of the hydropower station This refers to the tailrace level of the hydroelectric power station. This is the reservoir capacity relationship coefficient. For the reservoir capacity, The minimum and maximum reservoir capacity are... The power generation capacity of the hydroelectric generator units, This represents the maximum power output of the hydroelectric generator unit. The density of water, For the efficiency of hydropower units, For total runoff, This is the discharge flow from the previous reservoir. For the initial storage capacity, For the upstream and downstream rotational reserve capacity of the hydropower station, This refers to the uphill and downhill climbing rates of the hydroelectric generator unit.

7. The method for optimal scheduling of a river basin power system considering artificial rain enhancement as described in claim 6, characterized in that, The climbing constraints for thermal power units include the following: In the formula: This refers to the minimum and maximum output of a thermal power plant unit. The actual output of the thermal power unit. The downhill ramp rate of the thermal power plant. The ramp-up rate for thermal power plants. This refers to the minimum start-up and shutdown time for thermal power units. The first The rotating reserve capacity provided by the thermal power unit is M, which is an infinite positive number.

8. The method for optimal scheduling of a river basin power system considering artificial rain enhancement as described in claim 7, characterized in that, The power flow includes the following operational constraints: In the formula: For load power, The phase angle at the node, The minimum and maximum values ​​of the node phase angle. For line impedance, For line power, This indicates the maximum power output of the line. This is a balanced node.

9. A method for optimizing the scheduling of a river basin power system considering artificial rain enhancement as described in claim 8, characterized in that, It also includes the following system spin-off constraints: In the formula: These are the system's up-rotation and down-rotation reserve requirement coefficients, respectively. For nodes exist Load power at any given time.

10. A basin power system optimization dispatching device considering artificial rain enhancement, characterized in that, The method for optimizing the scheduling of a watershed power system, as described in any one of claims 1 to 9, takes into account artificial rain enhancement control.

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