Optimization Design Method, Device and Equipment for Combined Operation of Wind-Solar Hydropower Station System

Abstract

The present invention relates to the technical field of power dispatching, and discloses an optimization design method, device and equipment for the combined operation of a wind-solar hydropower station system. The method includes: obtaining the operation information of an existing hydropower station, the operation information of a preset wind power station, and the operation information of a preset photovoltaic power station; constructing an objective function with the goal of maximizing the combined guaranteed output of the wind-solar hydropower station system at different times throughout the year; generating an optimization design model for the combined operation of the wind-solar hydropower station system by constraining the objective function through preset constraint conditions; and solving the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station to obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station. The present invention realizes the reasonable and effective capacity optimization configuration and integrated operation of hydropower, wind power and photovoltaic power, ensures that the overall output of the combined operation of wind-solar hydropower matches the load, and reduces wind and light curtailment.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and particularly relates to an optimal design method, device and equipment for the combined operation of a wind-solar hydropower station system. Background Art

[0002] Multi-energy complementary power generation refers to the complementary power generation by taking advantage of new energy (mostly solar energy and wind energy) and traditional energy (hydropower or thermal power). Some will configure a certain capacity of energy storage devices to adjust the output imbalance of the system.

[0003] With the in-depth promotion of new energy, the proportion of wind power and photovoltaic power generation in the power system is increasing. However, due to the peak-valley characteristics of the load, the seasonality of hydropower, the randomness and volatility of the output of wind and light, there are problems of large wind and light abandonment rates in the power system, and thus low equipment utilization rates.

[0004] Wind power generation and photovoltaic power generation are random, intermittent and volatile. After the stand-alone wind power and photovoltaic power are connected to the grid, they are likely to cause a huge impact on the power grid. Hydropower has good regulation ability, with fast start-stop, flexible operation and strong load tracking ability. When used as a peak-shaving power source, it can better regulate the uncertainty of the output of wind and light, thereby promoting the consumption of wind and light power sources. To improve the operation safety of the power grid, give full play to the multi-energy complementary characteristics of wind, light and water, and thus promote the consumption of wind power and photovoltaic power, it is urgent to do a good job in the wind and light capacity design matching the corresponding hydropower stations at the planning level. Summary of the Invention

[0005] In view of this, the present invention provides an optimal design method, device and equipment for the combined operation of a wind-solar hydropower station system to solve the technical problems of large wind and light abandonment rates and low equipment utilization rates in the power system.

[0006] In a first aspect, the present invention provides an optimal design method for the combined operation of a wind-solar hydropower station system, including: obtaining the operation information of existing hydropower stations, the operation information of preset wind power stations and the operation information of preset photovoltaic power stations; constructing an objective function with the maximum combined guaranteed output of the wind-solar hydropower station system at different times of the whole year as the goal; generating an optimal design model for the combined operation of the wind-solar hydropower station system by constraining the objective function through preset constraint conditions; and solving the optimal design model according to the operation information of the existing hydropower stations, the operation information of the preset wind power stations and the operation information of the preset photovoltaic power stations to obtain the optimal solutions of the installed capacities of the wind power station and the photovoltaic power station matching the existing hydropower stations.

[0007] The optimization design method for the combined operation of a wind-solar-hydro power station system of the present invention constructs an objective function aiming at maximizing the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year by obtaining the operation information of existing hydropower stations, the operation information of preset wind power stations, and the operation information of preset photovoltaic power stations. The objective function is constrained by preset constraint conditions to generate an optimization design model for the combined operation of the wind-solar-hydro power station system. The optimization design model is solved according to the operation information of the existing hydropower stations, the operation information of the preset wind power stations, and the operation information of the preset photovoltaic power stations to obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station, which can realize a capacity planning for rationally configuring the installed capacities of wind and solar on the basis of the existing hydropower station, achieve a reasonable and effective capacity optimization configuration and integrated operation of hydropower, wind power, and photovoltaic power, ensure that the overall output of the combined operation of wind-solar-hydro power matches the load, reduce wind and light abandonment, and improve resource utilization.

[0008] Optionally, the objective function is:

[0009] obj = max(N bi )

[0010] where obj represents the combined output of the combined operation of the wind-solar-hydro power station, and N bi represents the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year.

[0011] Defining the objective function as the maximization of the combined guaranteed output clarifies the core objective of the optimization design and provides a quantitative optimization objective for subsequent model solving.

[0012] Optionally, the preset constraint conditions include initial and end reservoir capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water level-outflow discharge constraints, and wind power-photovoltaic power output constraints;

[0013] The initial and end reservoir capacity constraints are:

[0014] V H,0 = V H,sta

[0015] V H,8760 = V H,end

[0016] where V H,0 is the reservoir capacity at the initial moment, V H,8760 is the reservoir capacity at the end moment, V H,sta is the initial reservoir capacity of the water conservancy year, and V H,end is the reservoir capacity at the end moment of the water conservancy year;

[0017] The water level rise and fall rate constraints are:

[0018] ZH,t+1 -Z H,t ≤h1

[0019] Z H,t -Z H,t+1 ≤h2

[0020] Among them, Z H,t and Z H,t+1 are the lowest water levels during time period t and time period t + 1 respectively, h1 and h2 are the maximum rising rate and the maximum falling rate of the reservoir respectively;

[0021] The water level constraint is:

[0022]

[0023] Among them, is the lowest water level during time period t, is the highest water level during time period t, Z H,t is the real-time water level during time period t;

[0024] The hydropower electricity constraint is:

[0025]

[0026] Among them, E i is the lower limit of the electricity of the hydropower station, represents the hydropower output to the grid, and Δt is the duration of each time period;

[0027] The tail water level - discharge flow constraint is:

[0028]

[0029] Among them, b i,0 、b i,1 、b i,2 、b i,3 and b i,4 are the coefficients of each order of the tail water level - discharge flow relationship formula of the hydropower station, Z H,t is the tail water level of the hydropower station during time period t, is the discharge flow of the hydropower station during time period t;

[0030] The wind power - photovoltaic output constraint is:

[0031]

[0032] Among them, and are the per - unit values of the output characteristics of the wind power station and the photovoltaic power station during time period t respectively, and are the outputs of the wind power station and the photovoltaic power station during time period t respectively, and are the preset output reference values of the wind power station and the photovoltaic power station respectively.

[0033] Through the initial and ending reservoir capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water - discharge flow constraints, and wind - photovoltaic output constraints, it is ensured that the operation characteristics and environmental factors of the hydropower station, wind power station, and photovoltaic power station are considered in the optimization design process, improving the practicability and reliability of the model.

[0034] Optionally, when the combined guaranteed output of the wind - solar - hydropower station system is greater than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include:

[0035]

[0036]

[0037] where N bi represents the combined guaranteed output of the wind - solar - hydropower station at different times throughout the year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station.

[0038] When the combined guaranteed output of the wind - solar - hydropower station system exceeds the sum of the minimum output of the hydropower station and the output of renewable energy, the additional preset constraint conditions ensure the power supply safety of the system during high - load periods.

[0039] Optionally, when the combined guaranteed output of the wind - solar - hydropower station system is less than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include:

[0040]

[0041] where N bi represents the combined guaranteed output of the wind - solar - hydropower station at different times throughout the year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station, is the grid - connected output of the wind power station and the photovoltaic power station.

[0042] When the combined guaranteed output of the wind - solar - hydropower station system is less than the sum of the minimum output of the hydropower station and the output of renewable energy, the additional preset constraint conditions ensure the economy and efficiency of the operation of the wind - solar - hydropower station system.

[0043] Optionally, solving the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station includes: using the branch and bound algorithm to solve the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station.

[0044] Solving the optimization design model using the branch and bound algorithm improves the solving efficiency and can ensure finding the global optimal solution.

[0045] In a second aspect, the present invention provides an optimization design device for the combined operation of a wind-solar hydropower station system, including: an information acquisition module for acquiring the operation information of an existing hydropower station, the operation information of a preset wind power station, and the operation information of a preset photovoltaic power station; a function construction module for constructing an objective function with the goal of maximizing the combined guaranteed output of the wind-solar hydropower station system at different times throughout the year; a model generation module for constraining the objective function through preset constraint conditions to generate an optimization design model for the combined operation of the wind-solar hydropower station system; a model solving module for solving the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station to obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station.

[0046] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the optimization design method for the combined operation of the wind-solar hydropower station system according to the first aspect or any corresponding implementation manner thereof.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the optimization design method for the combined operation of the wind-solar hydropower station system according to the first aspect or any corresponding implementation manner thereof.

[0048] In a fifth aspect, the present invention provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the optimization design method for the combined operation of the wind-solar hydropower station system as in the first aspect or any corresponding implementation manner thereof. Description of the Drawings

[0049] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0050] Figure 1 It is a schematic flow chart of the optimization design method for the combined operation of the wind-solar-hydro power station system according to an embodiment of the present invention;

[0051] Figure 2 It is a structural block diagram of the optimization design device for the combined operation of the wind-solar-hydro power station system according to an embodiment of the present invention;

[0052] Figure 3 It is a schematic hardware structure diagram of a computer device according to an embodiment of the present invention. Specific Embodiments

[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0054] In the related art, in order to better utilize new energy such as wind and light, in large hydropower bases mainly for DC power transmission, the integrated operation of wind power, photovoltaic power, and hydropower in a certain proportion is considered an important means by the industry to reduce wind and light curtailment and improve resource utilization. However, there are the following problems in the related integrated wind-solar-hydro power operation system:

[0055] The prior art cannot fully meet the power demand of the receiving end market and cannot achieve source following load;

[0056] The matching degree between power supply and load is not high;

[0057] Problems such as low utilization rate of wind-solar energy storage, high cost, and poor environmental protection effect.

[0058] Fully considering objectives such as the economy, utilization rate, and carbon emissions of power stations, achieving reasonable and effective capacity optimization configuration is the key factor for the development of large integrated wind-solar-hydro energy storage bases.

[0059] Based on this, the present disclosure provides an optimal design method for the combined operation of a wind-solar-hydro power station system, analyzes the new energy capacity that can be accommodated by the multi-energy complementary system from the perspective of system operation, and makes a capacity planning for reasonably configuring the installed capacity of wind and solar on the basis of the existing hydropower station, so as to realize the reasonable and effective capacity optimization configuration and integrated operation of hydropower, wind power and photovoltaic power, ensure that the overall output of the combined operation of wind-solar-hydro power matches the load, reduce wind and light curtailment, and improve resource utilization.

[0060] According to an embodiment of the present invention, an embodiment of an optimal design method for the combined operation of a wind-solar-hydro power station system is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0061] In this embodiment, an optimal design method for the combined operation of a wind-solar-hydro power station system is provided, which can be used in mobile terminals such as mobile phones and tablet computers. As Figure 1 shown, the process includes the following steps:

[0062] Step S101, obtain the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station.

[0063] Specifically, the operation information of the existing hydropower station includes the installed capacity of the hydropower station and the operation characteristics of different time periods within the historical year of the hydropower station, such as the water volume, flow rate, and water level of different time periods.

[0064] The operation information of the preset wind power station includes the wind environment information of different time periods, the output capacity information of the wind turbines, etc.

[0065] The operation information of the preset photovoltaic power station includes the light environment information of different time periods, the output capacity information of the photovoltaic generators, etc.

[0066] Step S102, construct an objective function with the goal of maximizing the combined guaranteed output of the wind-solar-hydro power station system at different time periods throughout the year.

[0067] Step S103, constrain the objective function through preset constraint conditions to generate an optimal design model for the combined operation of the wind-solar-hydro power station system.

[0068] Specifically, since the water volume and the regulation ability of hydropower both play a dominant role in the combined regulation with wind and solar, if the maximum output of the overall stable output of the wind-solar-hydro power station system is to be achieved, the overall stable output ability is restricted by the water volume of the reservoir. Therefore, the overall regulation stage is simulated according to the water inflow characteristics of different seasons of hydropower. In this way, the natural water resources of different periods can be fully utilized.

[0069] Based on the goal of maximizing the guaranteed output of a wind-solar-hydro power station system at different times throughout the year, an objective function is constructed, and an optimization design model for the combined operation of wind-solar-hydro power is generated by constraining the objective function with a number of preset constraint conditions.

[0070] Step S104, solve the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station, and obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station.

[0071] Specifically, the optimization design model is a mixed-integer nonlinear programming (MINP) problem. In the embodiments of the present invention, a branch and bound algorithm is used to solve this problem. For example, a commercial solver CPLEX can be used for solving. The commercial solver CPLEX is a solver with global optimization capabilities based on the branch and bound algorithm. In the embodiments of the present invention, the problem is modeled using the YALMIP language on the MATLAB platform, solved by calling CPLEX, and finally the total output changes of different wind-solar capacities throughout the year and other operation results are output, and the results are analyzed to find the optimal configuration and optimal output.

[0072] The optimization design method for the combined operation of the wind-solar-hydro power station system in the embodiments of the present invention obtains the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station. With the goal of maximizing the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year, an objective function is constructed, and the objective function is constrained by preset constraint conditions to generate an optimization design model for the combined operation of the wind-solar-hydro power station system. The optimization design model is solved according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station, and the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station is obtained. It can configure a reasonable capacity plan for the installed capacities of wind and solar on the basis of the existing hydropower station, realize the reasonable and effective capacity optimization configuration and integrated operation of hydropower, wind power, and photovoltaic power, ensure that the overall output of the combined operation of wind-solar-hydro power matches the load, reduce wind and light abandonment, and improve resource utilization.

[0073] In some embodiments, the objective function is:

[0074] obj = max(N bi )

[0075] where obj represents the combined output of the combined operation of the wind-solar-hydro power station, and N bi represents the combined guaranteed output of the wind-solar-hydro power station at different times throughout the year of the wind-solar-hydro power station system.

[0076] By defining the objective function as the maximization of the combined guaranteed output, the core objective of the optimization design is clarified, providing a quantitative optimization goal for subsequent model solving.

[0077] Furthermore, the preset constraint conditions include initial and end storage capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water level - discharge flow constraints, and wind power - photovoltaic output constraints.

[0078] The following specifically introduces each preset constraint condition:

[0079] (1) Initial and end storage capacity constraints:

[0080] V H,0 = V H,sta

[0081] V H,8760 = V H,end

[0082] Among them, V H,0 is the storage capacity at the initial moment, V H,8760 is the storage capacity at the end moment, V H,sta is the initial storage capacity of the water year, and V H,end is the storage capacity at the end moment of the water year.

[0083] (2) Water level rise and fall rate constraints:

[0084] Z H,t+1 - Z H,t ≤ h1

[0085] Z H,t - Z H,t+1 ≤ h2

[0086] Among them, Z H,t and Z H,t+1 are the lowest water levels within time period t and time period t + 1 respectively, and h1 and h2 are the maximum rise rate and maximum fall rate of the reservoir respectively.

[0087] (3) Water level constraints:

[0088]

[0089] Among them, is the lowest water level within time period t, is the highest water level within time period t, and Z H,t is the real - time water level within time period t.

[0090] Specifically, the water levels that the reservoir should reach at some specific months or moments within a year can be obtained from the operation regulations of the relevant reservoir.

[0091] It should be noted that the hydropower constraints at each moment, namely the minimum output and the predicted output, are related to the water level at the current moment. The hydropower constraints affect the hydropower grid-connected quantity, which in turn affects the discharge and the water level at the next moment, and the water level at the next moment determines the hydropower constraints at the next moment.

[0092] (4) Hydropower electricity quantity constraint:

[0093]

[0094] Among them, E i is the lower limit of the electricity quantity of the hydropower station, represents the hydropower grid-connected output, and Δt is the duration of each time period.

[0095] (5) Tail water level - discharge flow constraint:

[0096]

[0097] Among them, b i,0 , b i,1 , b i,2 , b i,3 and b i,4 are the coefficients of each order of the tail water level - discharge flow relationship of the hydropower station respectively, Z H,t is the tail water level of the hydropower station at time period t, is the discharge flow of the hydropower station at time period t.

[0098] (6) Wind power - photovoltaic output constraint:

[0099]

[0100] Among them, and are the per-unit values of the output characteristics of the wind power station and the photovoltaic power station at time period t respectively, and are the outputs of the wind power station and the photovoltaic power station at time period t respectively, and are the preset output reference values of the wind power station and the photovoltaic power station respectively.

[0101] Through the initial and ending reservoir capacity constraints, water level rising and falling rate constraints, water level constraints, hydropower electricity quantity constraints, tail water level - discharge flow constraints and wind power - photovoltaic output constraints, the operation characteristics and environmental factors of the hydropower station, wind power station and photovoltaic power station are considered in the optimization design process, improving the practicability and reliability of the model.

[0102] Furthermore, according to the wind - light output model, the sum N WPV,t of the wind - light combined output at time period t is determined.

[0103] Determining the hydroelectric power station's anticipated output based on the output characteristics of the hydroelectric power station at different time periods and the minimum output of the hydroelectric power station

[0104] The main regulation principle of the optimization design model is to minimize the curtailment of wind and solar power on the premise that hydropower meets the constraints. Under a certain combined guaranteed output N bi of the system, it is necessary to first meet the minimum output of hydropower, and it is initially assumed that the wind and solar power output is connected to the grid according to the actual wind and solar power output. Then the overall situation is divided into two cases.

[0105] When the combined guaranteed output of the wind-solar-hydroelectric power station system is greater than the sum of the minimum output of the hydroelectric power station and the output of the wind power station and the photovoltaic power station, the preset constraint conditions also include:

[0106]

[0107]

[0108] Among them, N bi represents the combined guaranteed output of the wind-solar-hydroelectric power station system at different time periods throughout the year, represents the minimum output of the hydroelectric power station, and N WPV,t represents the sum of the output of the wind power station and the photovoltaic power station.

[0109] At this time, the remaining grid connection space is relatively large, so the wind and solar power output can be connected to the grid according to the sum of the output of the actual wind power station and the photovoltaic power station.

[0110] And at this time, the initially determined hydroelectric power output connected to the grid calculated by using the power and energy balance is N bi -N WPV,t , which must also meet the constraints at each moment of hydropower. The initially determined hydroelectric power output connected to the grid can be further divided into two cases. In the first case, the hydroelectric power output connected to the grid exceeds the anticipated output of the hydroelectric power station Then at this time, if the actual hydroelectric power output connected to the grid is reduced to meet the constraints, the adjustment to meet the constraints cannot be carried out. Therefore, the combined guaranteed output N bi in this condition is not feasible; the other case is within the adjustable range of hydropower, that is, the initially determined hydroelectric power output is between the minimum output of the hydroelectric power station and the anticipated output of the hydroelectric power station . Then the hydroelectric power output connected to the grid at this time is:

[0111]

[0112] In the embodiment of the present invention, when the combined guaranteed output of the wind-solar-hydroelectric power station system exceeds the sum of the minimum output of the hydroelectric power station and the output of renewable energy, the additional preset constraint conditions ensure the power supply safety of the system during high-load periods.

[0113] When the combined guaranteed output of the wind-solar-hydro power station system is smaller than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include:

[0114]

[0115] Wherein, N bi represents the combined guaranteed output of the wind-solar-hydro power station at different times of the whole year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station, is the grid-connected output of the wind power station and the photovoltaic power station.

[0116] Specifically, the wind-solar-hydro power station system needs to abandon the wind-solar output to meet the constraint of the minimum hydropower output. If N bi is less than the minimum output of the hydropower station then the minimum constraint of the hydropower cannot be satisfied, and the combined guaranteed output N bi under this condition is infeasible. Finally, the grid-connected output of the hydropower satisfies the following constraints:

[0117]

[0118] According to the power and energy balance, the grid-connected output of the wind-solar needs to satisfy the following constraints:

[0119]

[0120] The abandoned wind-solar output of the embodiment of the present invention is calculated as:

[0121]

[0122] When the combined guaranteed output of the wind-solar-hydro power station system is less than the sum of the minimum output of the hydropower station and the output of the renewable energy, the additional preset constraint conditions ensure the economy and efficiency of the operation of the wind-solar-hydro power station system.

[0123] Further, step S104, solving the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station, includes:

[0124] Using the branch and bound algorithm to solve the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station.

[0125] Specifically, in the embodiment of the present invention, the problem is modeled using the YALMIP language on the MATLAB platform, solved by calling CPLEX, and finally the total output change of different wind-solar capacities throughout the year and other operation results are output, and the results are analyzed to find the optimal configuration and the optimal output.

[0126] In the above embodiments, since the consideration is the combined guaranteed output N that can be satisfied by the hydropower, wind power, and photovoltaic power generation at all times within each stage bi , therefore, within the given range of N bi in each stage, if it satisfies the constraints at each moment during the adjustment of the main model, it indicates that this N bi is the feasible combined guaranteed output for this stage. The value of N bi is generally at least greater than the minimum output of the hydropower station Since it is not easy to determine the synchronous variation of with the water level in each time period, in order to shorten the operation time, the available capacity of the unit can be used for approximate substitution as the initial simulated output of N bi . After simulating the first stage, record the water level at the end moment corresponding to the feasible N bi , and then perform step-by-step simulation for the second stage and the third stage. The annual simulation process is carried out in a nested loop simulation manner, and finally, the guaranteed outputs feasible for all stages are traversed, and the guaranteed output for each stage corresponding to the maximum annual guaranteed output is output.

[0127] The present invention also provides an optimized design device for the combined operation of a wind-solar hydropower station system, as Figure 2 shown, including:

[0128] An information acquisition module 201, configured to acquire the operation information of an existing hydropower station, the operation information of a preset wind power station, and the operation information of a preset photovoltaic power station;

[0129] A function construction module 202, configured to construct an objective function with the goal of maximizing the combined guaranteed output of the wind-solar hydropower station system at different times throughout the year;

[0130] A model generation module 203, configured to constrain the objective function through preset constraint conditions to generate an optimized design model for the combined operation of the wind-solar hydropower station system;

[0131] A model solving module 204, configured to solve the optimized design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station, and obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station.

[0132] The optimal design device for the combined operation of a wind-solar-hydro power station system according to an embodiment of the present invention constructs an objective function with the goal of maximizing the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year by obtaining the operation information of existing hydropower stations, the operation information of a preset wind power station, and the operation information of a preset photovoltaic power station. The objective function is constrained by preset constraint conditions to generate an optimal design model for the combined operation of the wind-solar-hydro power station system. The optimal design model is solved according to the operation information of existing hydropower stations, the operation information of a preset wind power station, and the operation information of a preset photovoltaic power station to obtain the optimal solution of the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station. It can realize a capacity planning for reasonably configuring the installed capacities of wind and solar power on the basis of the existing hydropower station, achieve a reasonable and effective capacity optimization configuration and integrated operation of hydropower, wind power, and photovoltaic power, ensure that the overall output of the combined operation of wind-solar-hydro power matches the load, reduce wind and light abandonment, and improve resource utilization.

[0133] Further, the objective function is:

[0134] obj = max(N bi )

[0135] where obj represents the combined output of the combined operation of the wind-solar-hydro power station, and N bi represents the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year.

[0136] Further, the preset constraint conditions include initial and end reservoir capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water level-outflow discharge constraints, and wind power-photovoltaic power output constraints;

[0137] The initial and end reservoir capacity constraints are:

[0138] V H,0 = V H,sta

[0139] V H,8760 = V H,end

[0140] where V H,0 is the reservoir capacity at the initial moment, V H,8760 is the reservoir capacity at the end moment, V H,sta is the initial reservoir capacity of the water conservancy year, and V H,end is the reservoir capacity at the end moment of the water conservancy year;

[0141] The water level rise and fall rate constraints are:

[0142] Z H,t+1 - Z H,t ≤ h1

[0143] Z H,t - Z H,t+1≤h2

[0144] where Z H,t and Z H,t+1 are the lowest water levels in time periods t and t + 1 respectively, h1 and h2 are the maximum rising rate and the maximum falling rate of the reservoir respectively;

[0145] The water level constraint is:

[0146]

[0147] where is the lowest water level in time period t, is the highest water level in time period t, Z H,t is the real-time water level in time period t;

[0148] The hydropower electricity quantity constraint is:

[0149]

[0150] where E i is the lower limit of the electricity quantity of the hydropower station, represents the hydropower output to the grid, and Δt is the duration of each time period;

[0151] The tail water level - discharge flow constraint is:

[0152]

[0153] where b i,0 、b i,1 、b i,2 、b i,3 and b i,4 are the coefficients of each order of the tail water level - discharge flow relationship of the hydropower station, Z H,t is the tail water level of the hydropower station in time period t, is the discharge flow of the hydropower station in time period t;

[0154] The wind power - photovoltaic output constraint is:

[0155]

[0156] where and are the per-unit values of the output characteristics of the wind power station and the photovoltaic power station in time period t respectively, and are the outputs of the wind power station and the photovoltaic power station in time period t respectively, and are the preset output reference values of the wind power station and the photovoltaic power station respectively.

[0157] Further, when the combined guaranteed output of the wind-solar hydropower station system is greater than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include:

[0158]

[0159] where N bi represents the combined guaranteed output of the wind-solar hydropower station at different times throughout the year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station.

[0160] Further, when the combined guaranteed output of the wind-solar hydropower station system is less than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include:

[0161]

[0162] where N bi represents the combined guaranteed output of the wind-solar hydropower station at different times throughout the year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station, is the grid-connected output of the wind power station and the photovoltaic power station.

[0163] Further, the model solving module 204 is further configured to:

[0164] Adopt the branch and bound algorithm to solve the optimization design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station.

[0165] The embodiment of the present invention also provides a structural schematic diagram of a computer device, as Figure 3 shown. The computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 3 Taking one processor 10 as an example in

[0166] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above-mentioned hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field-programmable gate array, a generic array logic, or any combination thereof.

[0167] Among them, the memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiments.

[0168] The memory 20 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0169] The memory 20 can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 can also include a combination of the above types of memories.

[0170] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 can be connected through a bus or other means, Figure 3 Taking the connection through the bus as an example.

[0171] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (such as an LED), and a tactile feedback device (such as a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device can be a touch screen.

[0172] Embodiments of the present invention also provide a computer-readable storage medium. The method according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code that is originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0173] A part of the present invention can be applied as a computer program product, for example, computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be invoked or provided. Those skilled in the art should be able to understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.

[0174] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. An optimized design method for the combined operation of a wind-solar hydropower station system, characterized in that, including: Obtain the operation information of existing hydropower stations, the operation information of preset wind power stations, and the operation information of preset photovoltaic power stations; Construct an objective function with the goal of maximizing the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year; Constrain the objective function through preset constraint conditions to generate an optimal design model for the combined operation of the wind-solar-hydro power station system; Solve the optimal design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station to obtain the optimal solutions for the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station; Wherein, the preset constraint conditions include initial and end reservoir capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water level-outflow discharge constraints, and wind power-photovoltaic output constraints; The initial and end reservoir capacity constraints are: V H,0 = V H,sta V H,8760 = V H,end Among them, V H,0 is the reservoir capacity at the initial moment, V H,8760 is the reservoir capacity at the end moment, V H,sta is the initial reservoir capacity of the water conservancy year, V H,end is the reservoir capacity at the end moment of the water conservancy year; The water level rise and fall rate constraints are: Z H,t+1 -Z H,t ≤ h1 Z H,t -Z H,t+1 ≤h2 where Z H,t and Z H,t=1 are the lowest water levels in time periods t and t + 1 respectively, and h1 and h2 are the maximum rising rate and the maximum falling rate of the reservoir respectively; The water level constraints are: Among them, is the lowest water level within time period t, is the highest water level within time period t, and Z H,t is the real-time water level within time period t; The hydropower electricity constraints are: Among them, E i is the lower limit of the electricity quantity of the hydropower station, represents the hydropower output for grid connection, and Δt is the duration of each time period; The tail water level-outflow discharge constraints are: Among them, b i,0 , b i,1 , b i,2 , b i,3 and b i,4 are the coefficients of each order of the relationship between the tail water level and the outflow discharge of the hydropower station, Z H,t is the tail water level of the hydropower station at time t, is the outflow discharge of the hydropower station at time t; The wind power-photovoltaic output constraints are: Among them, and are the per-unit values of the output characteristics of the wind power station and the photovoltaic power station at time t, respectively, and are the outputs of the wind power station and the photovoltaic power station at time t, respectively, and are the preset output reference values of the wind power station and the photovoltaic power station, respectively.

2. The optimization design method for the combined operation of a wind-solar hydropower station system according to claim 1, characterized in that The objective function is: obj = max(N bi ) Among them, obj represents the combined output of the combined operation of the wind-solar hydropower station, and N bi represents the combined guaranteed output of the wind-solar hydropower station at different times of the whole year in the wind-solar hydropower station system.

3. The optimization design method for the combined operation of a wind-solar hydropower station system according to claim 1, characterized in that When the combined guaranteed output of the wind-solar-hydro power station system is greater than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include: Among them, N bi represents the combined guaranteed output of the wind-solar power station system at different times throughout the year, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station.

4. The optimization design method for the combined operation of a wind-solar hydropower station system according to claim 1, characterized in that, When the combined guaranteed output of the wind-solar-hydro power station system is less than the minimum output of the hydropower station and the sum of the outputs of the wind power station and the photovoltaic power station, the preset constraint conditions further include: Among them, N bi represents the combined guaranteed output of the wind-solar power station system at different times throughout the year for the wind-solar power station, represents the minimum output of the hydropower station, and N WPV,t represents the sum of the outputs of the wind power station and the photovoltaic power station, is the grid-connected output of the wind power station and the photovoltaic power station.

5. The optimization design method for the combined operation of a wind-solar hydropower station system according to claim 1, characterized in that The solving the optimal design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station includes: Adopt the branch and bound algorithm to solve the optimal design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station.

6. An optimized design device for the combined operation of a wind-solar hydropower station system, characterized in that, including: An information acquisition module for obtaining the operation information of existing hydropower stations, the operation information of preset wind power stations, and the operation information of preset photovoltaic power stations; A function construction module for constructing an objective function with the goal of maximizing the combined guaranteed output of the wind-solar-hydro power station system at different times throughout the year; A model generation module for constraining the objective function through preset constraint conditions to generate an optimal design model for the combined operation of the wind-solar-hydro power station system; A model solving module for solving the optimal design model according to the operation information of the existing hydropower station, the operation information of the preset wind power station, and the operation information of the preset photovoltaic power station to obtain the optimal solutions for the installed capacities of the wind power station and the photovoltaic power station that match the existing hydropower station; Wherein, the preset constraint conditions include initial and end reservoir capacity constraints, water level rise and fall rate constraints, water level constraints, hydropower electricity constraints, tail water level-outflow discharge constraints, and wind power-photovoltaic output constraints; The initial and end reservoir capacity constraints are: V H,0 = V H,sta V H,8760 = V H,end Among them, V H,0 is the reservoir capacity at the initial moment, V H,8760 is the reservoir capacity at the end moment, V H,sta is the initial reservoir capacity of the water conservancy year, V H,end is the reservoir capacity at the end moment of the water conservancy year; The water level rise and fall rate constraints are: Z H,t+1 -Z H,t ≤ h1 Z H,t -Z H,t+1 ≤ h2 where Z H,t and Z H,t+1 are the lowest water levels during time periods t and t + 1 respectively, and h1 and h2 are the maximum rising rate and the maximum falling rate of the reservoir respectively; The water level constraints are: Among them, is the lowest water level within period t, is the highest water level within period t, and Z H,t is the real-time water level within period t; The hydropower electricity constraints are: Among them, E i is the lower limit of the power generation of the hydropower station, represents the output of hydropower fed into the grid, and Δt is the duration of each time period; The tail water level-outflow discharge constraints are: Among them, b i,0 , b i,1 , b i,2 , b i,3 and b i,4 are the coefficients of each order of the relationship between the tail water level and the outflow discharge of the hydropower station, Z H,t is the tail water level of the hydropower station at time t, is the outflow discharge of the hydropower station at time t; The wind power-photovoltaic output constraints are: Wherein, and are respectively the per-unit values of the output characteristics of the wind power station and the photovoltaic power station at time period t, and are respectively the outputs of the wind power station and the photovoltaic power station at time period t, and are respectively the preset output reference values of the wind power station and the photovoltaic power station.

7. A computer device, characterized in that, including: A memory and a processor, which are communicatively connected to each other. Computer instructions are stored in the memory, and the processor executes the computer instructions to execute the optimal design method for the combined operation of the wind-solar hydropower station system according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the optimal design method for the combined operation of the wind-solar hydropower station system according to any one of claims 1 to 5.

9. A computer program product, characterized in that, It includes computer instructions, and the computer instructions are used to cause a computer to execute the optimal design method for the combined operation of the wind-solar hydropower station system according to any one of claims 1 to 5.

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