A multi-objective optimization method, system, processing equipment, and storage medium for a combined wind-solar-pumped-storage system.

Abstract

This invention relates to a multi-objective optimization method, system, processing equipment, and storage medium for a wind-solar-pumped-storage combined system. The method includes: acquiring the predicted power output curves of the wind turbines and photovoltaic units of the wind-solar-pumped-storage combined system under test; the maximum charging power, minimum charging power, maximum discharging power, minimum discharging power, charging efficiency, and discharging efficiency of the pumped-storage units; the maximum and minimum storage capacities of the upstream and downstream reservoirs; the minimum start-up and minimum shutdown times of the motors and generators; and the planned power output data of the wind-solar-pumped-storage combined system. The acquired data is then input into a pre-constructed multi-objective optimization model of the wind-solar-pumped-storage combined system to obtain the optimal power output plan of the pumped-storage units and the optimal scheduling strategy of the combined system. This invention can be widely applied in the field of energy storage system technology.

Description

Technical Field

[0001] This invention relates to the field of energy storage system technology, and in particular to a multi-objective optimization method, system, processing equipment, and storage medium for a combined wind-solar-pumped-storage system. Background Technology

[0002] However, due to weather uncertainties, wind power output and photovoltaic power output exhibit obvious periodicity, intermittency, and randomness, and grid connection will have a serious impact on the stable operation of the power grid.

[0003] Pumped storage power stations can pump water to store electrical energy when wind and solar power generation is excessive, and release water to release electrical energy when power generation is insufficient. Pumped storage power stations have the advantages of rapid start-up, flexibility and reliability. Therefore, equipping wind and solar power plants with pumped storage devices of a certain capacity is an effective solution to the above problems.

[0004] However, due to the high uncertainty of wind and solar power output, how to consider the impact of these uncertainties, as well as how to maximize system revenue and minimize grid-connected power fluctuations, and determine the system scheduling strategy are urgent problems to be solved in this field of research. Summary of the Invention

[0005] To address the aforementioned problems, the purpose of this invention is to provide a multi-objective optimization method, system, processing equipment, and storage medium for a wind-solar pumped storage combined system that can take into account the uncertainties in wind power and photovoltaic output.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, it provides a multi-objective optimization method for a combined wind-solar-pumped-storage system, comprising:

[0007] Acquire the predicted power output curves of the wind turbine and photovoltaic units of the wind-solar-pumped storage combined system under test, the maximum charging power, minimum charging power, maximum discharging power, minimum discharging power, charging efficiency and discharging efficiency of the pumped storage unit, the maximum and minimum storage capacity of the upstream and downstream reservoirs, the minimum start-up time and minimum shutdown time of the motor, the minimum start-up time and minimum shutdown time of the generator, and the planned power output data of the wind-solar-pumped storage combined system;

[0008] The acquired data is input into a pre-built multi-objective optimization model of the wind-solar-pumped storage combined system to obtain the optimal output plan of the pumped storage unit in the wind-solar-pumped storage combined system and the optimal scheduling strategy of the wind-solar-pumped storage combined system.

[0009] Furthermore, the construction process of the multi-objective optimization model of the wind-solar-pumped storage combined system is as follows:

[0010] Based on the operating characteristics of wind turbines, photovoltaic units and pumped storage units, a multi-objective optimization model for a wind-solar-pumped storage combined system is established.

[0011] The multi-objective function of the multi-objective optimization model of the wind-solar-gas storage combined system is normalized by the normalization method to obtain the final multi-objective optimization model of the wind-solar-gas storage combined system.

[0012] Furthermore, the multi-objective optimization model for the wind-solar-pumped storage combined system, based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, includes:

[0013] Based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, the objective functions of the multi-objective optimization model of the wind-solar-pumped storage combined system are determined, including the objective function of minimizing the system's grid-connected power fluctuation and the objective function of maximizing the system's revenue.

[0014] The constraints of the multi-objective optimization model of the wind-solar-pumped storage combined system are determined, including power balance constraints, start-up and shutdown state constraints of pumped storage units, output power constraints, ramping constraints and reservoir capacity constraints, as well as output power opportunity constraints.

[0015] Furthermore, the objective function for minimizing the grid-connected power fluctuation of the system is:

[0016]

[0017] in, For grid-connected power fluctuations in wind-solar-pumped storage combined systems; For wind-solar pumped storage combined system Output power during the time period; This represents the average output power of the combined wind-solar-pumped-storage system. Total number of time periods;

[0018] The objective function for maximizing system revenue is:

[0019]

[0020] in, For the revenue of the combined wind-solar-pumped storage system; Revenue from electricity sales from the combined wind-solar-pumped-storage system; Operating costs of pumped storage units; Punishment for abandoning wind and light; The wind-solar-pumped storage combined system will be penalized for deviating from the plan.

[0021] Furthermore, the output power opportunity constraint of the wind-solar-pumped-storage combined system is determined using CvaR theory, and the output power opportunity constraint of the wind-solar-pumped-storage combined system is as follows:

[0022]

[0023]

[0024] in, for At a certain confidence level, the random variable at time 1 Value at risk below; For sampling points; Confidence level; for Intermediate variables at any given time; The maximum operational deviation between the output power and the planned output of the combined wind-solar-pumped-storage system; For pumped storage units in Power generation at any given moment; For wind-solar pumped storage combined system The amount of electricity purchased at any given time; For wind-solar pumped storage combined system Plan your efforts at all times; Total number of time periods; , Wind turbines and photovoltaic units respectively Time of the first The actual output power in each scenario.

[0025] Furthermore, the objective function of the multi-objective optimization model for the final wind-solar-pumped storage combined system is:

[0026]

[0027] in, This is the normalized value of the original multi-objective function; The variance of the grid-connected power of the wind-solar hybrid system; The total revenue during the operation of the wind-solar hybrid system; and These are the weights of the two sub-objective functions.

[0028] Furthermore, the optimal output plan includes the charging power and discharging power of the pumped storage units in the wind-solar-pumped storage combined system for each hour of operation.

[0029] The optimal scheduling strategy includes the start-up combination of pumped storage units in the wind-solar-pumped storage combined system during operation, and the curtailment power, curtailment power, and power purchase plan of the wind-solar-pumped storage combined system.

[0030] Secondly, a multi-objective optimization system for a combined wind-solar-pumped-storage system is provided, including:

[0031] The data acquisition module is used to acquire the predicted power output curves of the wind turbine and photovoltaic units of the wind-solar-pumped storage combined system under test, the maximum charging power, minimum charging power, maximum discharging power, minimum discharging power, charging efficiency and discharging efficiency of the pumped storage unit, the maximum and minimum storage capacity of the upstream and downstream reservoirs, the minimum start-up time and minimum shutdown time of the motor, the minimum start-up time and minimum shutdown time of the generator, and the planned power output data of the wind-solar-pumped storage combined system.

[0032] The multi-objective optimization module is used to input the acquired data into the pre-built multi-objective optimization model of the wind-solar-pumped storage combined system to obtain the optimal output plan of the pumped storage unit in the wind-solar-pumped storage combined system under test and the optimal scheduling strategy of the wind-solar-pumped storage combined system under test.

[0033] Thirdly, a processing device is provided, including computer program instructions, wherein when the computer program instructions are executed by the processing device, they are used to implement the steps corresponding to the multi-objective optimization method of the above-mentioned wind-solar-storage combined system.

[0034] Fourthly, a computer-readable storage medium is provided, wherein computer program instructions are stored on the computer-readable storage medium, wherein when the computer program instructions are executed by a processor, they are used to implement the steps corresponding to the multi-objective optimization method of the above-mentioned wind-solar-pumped storage combined system.

[0035] Due to the adoption of the above technical solutions, this invention has the following advantages: This invention aims to maximize system revenue and minimize grid-connected power fluctuations. It establishes a multi-objective optimization model for a wind-solar-pumped-storage combined system, represents the actual output of wind and solar power as random variables, handles the uncertainty of output through scenario-based methods, represents the system output power constraint as a chance constraint, and transforms the chance constraint into a set of inequalities using CVaR theory. A normalization method is then used to transform the multi-objective problem into a single-objective problem for solution, ultimately obtaining the optimal scheduling strategy for the system. This model can be widely applied in the field of energy storage system technology. Attached Figure Description

[0036] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Throughout the drawings, the same reference numerals denote the same parts. In the drawings:

[0037] Figure 1 This is a schematic diagram of a method flow provided in an embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram of the optimized output plan of a pumped storage unit provided in an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the grid-connected power of an optimized wind-solar-pumped storage combined system provided in an embodiment of the present invention;

[0040] Figure 4 This is a schematic diagram of the curtailed wind and solar power in an optimized wind-solar-pump-storage combined system provided in an embodiment of the present invention;

[0041] Figure 5 This is a schematic diagram of the power purchase structure of an optimized wind-solar-pumped storage combined system provided in an embodiment of the present invention. Detailed Implementation

[0042] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the invention and to fully convey the scope of the invention to those skilled in the art.

[0043] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0044] Although terms such as first, second, third, etc., may be used in this document to describe multiple elements, components, regions, layers, and / or segments, these elements, components, regions, layers, and / or segments should not be limited by these terms. These terms may be used only to distinguish one element, component, region, layer, or segment from another. Unless the context clearly indicates otherwise, terms such as "first," "second," and other numerical terms used herein do not imply order or sequence. Therefore, the first element, component, region, layer, or segment discussed below may be referred to as the second element, component, region, layer, or segment without departing from the teachings of the exemplary embodiments.

[0045] Due to the significant uncertainties in wind and solar power output, how to account for these uncertainties and maximize system revenue while minimizing grid-connected power fluctuations to determine the system's scheduling strategy is a pressing issue in this field. This invention provides a multi-objective optimization method, system, processing equipment, and storage medium for a wind-solar-pumped-storage (FSS) combined system. The method includes: acquiring the installed capacity of wind turbines and solar generators in the FSS combined system under test; the maximum and minimum charging power, discharging power, charging efficiency, and discharging efficiency of the pumped-storage units; the maximum and minimum reservoir capacities of upstream and downstream reservoirs; the minimum start-up and minimum shutdown times of motors and generators; and the planned output data of the FSS combined system. The acquired data is then input into a pre-constructed multi-objective optimization model of the FSS combined system to obtain the optimal output plan of the pumped-storage units and the optimal scheduling strategy for the FSS combined system. This invention takes into account the uncertainty of wind power and photovoltaic output, and aims to maximize system revenue and minimize grid-connected power fluctuations. Through optimization, it obtains the optimal output plan of pumped storage power stations and the optimal scheduling strategy for the entire system.

[0046] Example 1

[0047] like Figure 1 As shown, this embodiment provides a multi-objective optimization method for a wind-solar-pumped storage combined system, including the following steps:

[0048] 1) Based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, a multi-objective optimization model for a combined wind-solar-pumped storage system is established, specifically as follows:

[0049] 1.1) Based on the operating characteristics of wind turbines, photovoltaic units and pumped storage units, determine the objective function of the multi-objective optimization model of the wind-solar-pumped storage combined system, including the objective function of minimizing the system grid-connected power fluctuation and the objective function of maximizing the system revenue.

[0050] Specifically, the wind-solar-pumped storage combined system includes wind turbine units, photovoltaic units, and pumped storage units.

[0051] Specifically, the objective function for minimizing grid-connected power fluctuation is:

[0052] (1)

[0053] in, For grid-connected power fluctuations in wind-solar-pumped storage combined systems; For wind-solar pumped storage combined system Output power during the time period; This represents the average output power of the combined wind-solar-pumped-storage system. This represents the total number of time periods.

[0054] Specifically, the objective function for maximizing system revenue is:

[0055] (2)

[0056] (3)

[0057] in, For the revenue of the combined wind-solar-pumped storage system; Revenue from electricity sales from the combined wind-solar-pumped-storage system; Operating costs of pumped storage units; Punishment for abandoning wind and light; Penalties will be imposed for deviations from the planned wind-solar-tank storage combined system. for Electricity price at any given time; Represents random variables The mathematical expectation; Total number of scenes; The power generation cost of pumped storage units; The pumping cost of a pumped storage unit; This refers to the penalty coefficient for wind and solar power curtailment. Penalty coefficient for deviation from the plan; , Wind turbines and photovoltaic units respectively The random variable representing the actual output power at any given moment; For wind turbine units The random variable of wind curtailment power at any given time; For photovoltaic units in The random variable of the power of light discarded at any given time; , pumped storage units Power generation and pumping power at any given time; For wind-solar pumped storage combined system The amount of electricity purchased at any given time; For wind-solar pumped storage combined system Plan your efforts at all times; , Wind turbines and photovoltaic units respectively Time of the first Actual output power in each scenario; For wind turbine units Time of the first Wind curtailment power in various scenarios; For photovoltaic units in Time of the first Light waste power in various scenarios; , The generator and motor of the pumped storage unit are respectively located in The start / stop status at any given time, with a value of 1 indicating the power-on state and a value of 0 indicating the power-off state.

[0058] 1.2) Determine the constraints of the multi-objective optimization model of the wind-solar-pumped storage combined system, including power balance constraints, start-up and shutdown state constraints of pumped storage units, output power constraints, ramping constraints and reservoir capacity constraints, as well as output power opportunity constraints.

[0059] Specifically, the power balance constraint is as follows:

[0060] (4)

[0061] (5)

[0062] (6)

[0063] in, , Wind turbines and photovoltaic units respectively Time of the first Predicted output power for each scenario.

[0064] Specifically, the start-up and shutdown constraints for pumped storage units are as follows:

[0065] (7)

[0066] (8)

[0067] (9)

[0068] (10)

[0069] (11)

[0070] (12)

[0071] (13)

[0072] in, , The generator and motor of the pumped storage unit are respectively located in The power-on status at any given time; a value of 1 indicates that a power-on command has been received. , These are the minimum start-up time and minimum shutdown time for the generator of the pumped storage unit, respectively. , These are the minimum start-up and minimum shutdown times for the motors of the pumped storage unit.

[0073] Specifically, the output power constraints and ramping constraints of pumped storage units are as follows:

[0074] (14)

[0075] (15)

[0076] (16)

[0077] (17)

[0078] (18)

[0079] (19)

[0080] in, , These are the maximum and minimum output power of the electric motor of the pumped storage unit, respectively. , These are the maximum and minimum output power of the generator of the pumped storage unit, respectively. , These are the initial and final ramp power and intermediate ramp power of the pumped storage unit's generator, respectively. , These are the initial and final ramp power and intermediate ramp power of the pumped storage unit's motor, respectively.

[0081] Specifically, the reservoir capacity constraint for pumped storage units is:

[0082] (20)

[0083] (twenty one)

[0084] (twenty two)

[0085] (twenty three)

[0086] (twenty four)

[0087] in, , pumped storage units The upstream and downstream reservoir capacities at any given time; , These are the upper and lower limits of the upstream reservoir's capacity, respectively. , These are the upper and lower limits of the downstream reservoir's capacity, respectively. , These are the charging and discharging efficiencies of the pumped storage unit, respectively. , These are the initial and final capacities of the upstream reservoir, respectively. , These represent the upper and lower limits of the difference between the initial and final capacities of the upstream reservoir within the scheduling cycle.

[0088] Specifically, the output power opportunity constraint of the wind-solar-pumped-storage combined system is determined using CvaR theory, and the output power opportunity constraint of the wind-solar-pumped-storage combined system is as follows:

[0089] (25)

[0090] (26)

[0091] in, The probability that the parameter is within a specified range; The maximum operational deviation between the output power and the planned output of the combined wind-solar-pumped-storage system; The confidence level.

[0092] More specifically, CVaR, or Conditional Value at Risk, represents the average loss of a portfolio if its loss exceeds the Value at Risk (VaR) at a specific confidence level. Mathematically, CVaR can be expressed as:

[0093] (27)

[0094] in, For random variables At confidence level Value at risk below; For variables The probability density function.

[0095] For calculation In mathematics, it can also be equivalently represented as:

[0096] (28)

[0097] (29)

[0098] in, ; For random variables At confidence level Value at risk below; For calculation The equivalent function.

[0099] By analyzing random variables conduct To simplify the integration calculation, we use point sampling calculation, i.e.:

[0100] (30)

[0101] in, For calculation Simplified function; For random variables The Each sample value.

[0102] Based on the above equation, the opportunity constraint... It can be approximated as ,Right now:

[0103] (31)

[0104] (32)

[0105] in, To indicate Intermediate variables.

[0106] Therefore, the output power opportunity constraint of the wind-solar-pumped-storage combined system can be approximately expressed as a series of inequality constraints, namely:

[0107] (33)

[0108] (34)

[0109] in, for At a certain confidence level, the random variable at time 1 Value at risk below; Time indication Intermediate variables.

[0110] 2) The normalization method is used to normalize the multi-objective function of the multi-objective optimization model of the wind-solar-gas storage combined system, transforming the multi-objective problem into a single-objective problem, and thus obtaining the final multi-objective optimization model of the wind-solar-gas storage combined system.

[0111] Specifically, for simplified calculation, this embodiment uses a normalization method to transform the multi-objective problem into a single-objective problem. Since the two objective functions of the multi-objective optimization model for the wind-solar-pumped storage combined system have different orders of magnitude and dimensions, it is not feasible to solve the problem by simply weighted summing the two objective functions. To accurately represent the changes in revenue and grid-connected power fluctuations of the wind-solar hybrid system (i.e., wind turbines plus photovoltaic units) before and after the addition of the pumped storage unit, the economic benefits and grid-connected power fluctuation variance of the wind-solar hybrid system during operation are used as benchmark values. By normalizing the two sub-objective functions, the final objective function is obtained as follows:

[0112] (35)

[0113] in, This is the normalized value of the original multi-objective function; The variance of the grid-connected power of the wind-solar hybrid system; The total revenue during the operation of the wind-solar hybrid system; and These are the weights of the two sub-objective functions.

[0114] 3) Obtain the predicted power output curves of the wind turbines in the wind-solar-pumped storage combined system under test. And the predicted output curve of photovoltaic units Maximum charging power of pumped storage units Minimum charging power Maximum discharge power Minimum discharge power Charging efficiency and discharge efficiency The maximum capacity of the upstream reservoir and minimum storage capacity The maximum storage capacity of the downstream reservoir and minimum storage capacity Minimum start-up time of the electric motor and minimum downtime Minimum start-up time of the generator and minimum downtime And the planned output data of the wind-solar-hydrogen storage combined system. .

[0115] 4) Input the data obtained in step 3) into the multi-objective optimization model of the final wind-solar-pumped storage combined system to obtain the optimal output plan of the pumped storage unit in the wind-solar-pumped storage combined system and the optimal scheduling strategy of the wind-solar-pumped storage combined system.

[0116] Specifically, the optimal output plan includes the charging and discharging power of the pumped storage units in the wind-solar-pumped storage combined system for each hour of operation.

[0117] Specifically, the optimal scheduling strategy includes the operating combination of pumped storage units in the wind-solar-pumped storage combined system, and the curtailment power, curtailment power, and power purchase plan of the wind-solar-pumped storage combined system.

[0118] The effectiveness of the multi-objective optimization method for the wind-solar-pumped storage combined system of the present invention will be explained in detail below through specific embodiments;

[0119] The optimized output plan of the pumped storage unit is as follows: Figure 2 As shown, when the output of the wind turbine and photovoltaic unit is less than the planned output of the wind-solar-pumped storage combined system, the generator of the pumped storage unit operates; when the output of the wind turbine and photovoltaic unit is greater than the planned output of the wind-solar-pumped storage combined system, the motor of the pumped storage unit operates, pumping water to store electrical energy for subsequent use.

[0120] The grid-connected power of the optimized wind-solar-pumped storage combined system is as follows: Figure 3 As shown, before the addition of pumped storage units, the grid-connected power of wind turbines and photovoltaic units fluctuated significantly, deviating from the planned output of the system in multiple periods. After the addition of pumped storage units, the grid-connected power fluctuation of the wind-solar-pumped storage combined system was significantly reduced, and it was closer to the planned output of the wind-solar-pumped storage combined system, which is conducive to the stable and reliable operation of the power grid.

[0121] The optimized system's curtailed wind and solar power consumption is as follows: Figure 4 As shown, after the addition of pumped storage units, the amount of wind and solar power curtailed in the wind-solar-pumped storage combined system has been significantly reduced, improving the renewable energy consumption rate of the wind-solar-pumped storage combined system.

[0122] The optimized system's electricity purchase volume is as follows: Figure 5 As shown, after adding pumped storage units, the amount of electricity purchased by the wind-solar-pumped storage combined system to meet planned power output needs is significantly reduced, thus improving the economic efficiency of the wind-solar-pumped storage combined system.

[0123] Table 1 below shows a comparison of the economic benefits and grid-connected power fluctuations of the combined wind-solar-pumped-storage system:

[0124] Table 1: Comparison of Economic Benefits and Grid-Connected Power Fluctuation of Wind-Solar-Gas Storage Combined Systems

[0125]

[0126] It can be seen that the addition of pumped storage units improved the economic benefits of the wind-solar-pumped storage combined system by 59.3%, and reduced the variance of grid-connected power fluctuations by 81.3%. This indicates that properly configuring pumped storage units for wind and solar power plants can significantly increase system revenue while reducing the negative impact of renewable energy fluctuations on the power grid.

[0127] Example 2

[0128] This embodiment provides a multi-objective optimization system for a combined wind-solar-pumped-storage system, including:

[0129] The data acquisition module is used to acquire the predicted power output curves of the wind turbines in the wind-solar-pumped-storage combined system under test. And the predicted output curve of photovoltaic units Maximum charging power of pumped storage units Minimum charging power Maximum discharge power Minimum discharge power Charging efficiency and discharge efficiency The maximum capacity of the upstream reservoir and minimum storage capacity The maximum storage capacity of the downstream reservoir and minimum storage capacity Minimum start-up time of the electric motor and minimum downtime Minimum start-up time of the generator and minimum downtime And the planned output data of the combined wind-solar-storage system.

[0130] The multi-objective optimization module is used to input the acquired data into the pre-built multi-objective optimization model of the wind-solar-pumped storage combined system to obtain the optimal output plan of the pumped storage unit in the wind-solar-pumped storage combined system under test and the optimal scheduling strategy of the wind-solar-pumped storage combined system under test.

[0131] In a preferred embodiment, the process of constructing the multi-objective optimization model of the wind-solar-pumped storage combined system is as follows:

[0132] Based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, a multi-objective optimization model for a wind-solar-pumped storage combined system is established.

[0133] The multi-objective function of the multi-objective optimization model of the wind-solar-gas storage combined system is normalized by the normalization method to obtain the final multi-objective optimization model of the wind-solar-gas storage combined system.

[0134] In a preferred embodiment, based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, a multi-objective optimization model for the wind-solar-pumped storage combined system is established, including:

[0135] Based on the operating characteristics of wind turbines, photovoltaic units, and pumped storage units, the objective functions of the multi-objective optimization model of the wind-solar-pumped storage combined system are determined, including the objective function of minimizing the system's grid-connected power fluctuation and the objective function of maximizing the system's revenue.

[0136] The constraints of the multi-objective optimization model of the wind-solar-pumped storage combined system are determined, including power balance constraints, start-up and shutdown state constraints of pumped storage units, output power constraints, ramping constraints and reservoir capacity constraints, as well as output power opportunity constraints.

[0137] The system provided in this embodiment is used to execute the above-described method embodiments. For specific processes and details, please refer to the above embodiments, which will not be repeated here.

[0138] Example 3

[0139] This embodiment provides a processing device corresponding to the multi-objective optimization method of the wind-solar-pumped storage combined system provided in Embodiment 1. The processing device can be applied to client processing devices, such as mobile phones, laptops, tablets, desktop computers, etc., to execute the method of Embodiment 1.

[0140] The processing device includes a processor, a memory, a communication interface, and a bus. The processor, memory, and communication interface are connected via the bus to enable communication between them. The memory stores a computer program that can run on the processing device. When the processing device runs the computer program, it executes the multi-objective optimization method for the wind-solar-pumped storage combined system provided in Embodiment 1.

[0141] In some implementations, the memory may be high-speed random access memory (RAM), and may also include non-volatile memory, such as at least one disk storage device.

[0142] In other implementations, the processor can be any type of general-purpose processor, such as a central processing unit (CPU) or a digital signal processor (DSP), and there is no limitation here.

[0143] Furthermore, the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, and can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0144] Those skilled in the art will understand that the structure of the above-described computing device is only a partial structure related to the present invention and does not constitute a limitation on the computing device to which the present invention is applied. A specific computing device may include more or fewer components, or combine certain components, or have different component arrangements.

[0145] Example 4

[0146] This embodiment provides a computer program product corresponding to the multi-objective optimization method of the wind-solar-gas storage combined system provided in Embodiment 1. The computer program product may include a computer-readable storage medium on which computer-readable program instructions for executing the multi-objective optimization method of the wind-solar-gas storage combined system described in Embodiment 1 are loaded.

[0147] A computer-readable storage medium can be a tangible device that holds and stores instructions for use by an instruction execution device. A computer-readable storage medium can be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof.

[0148] The computer-readable storage medium provided in the above embodiments has a similar implementation principle and technical effect to the above method embodiments, and will not be described again here.

[0149] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0150] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0151] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0152] The above embodiments are only used to illustrate the present invention. The structure, connection method and manufacturing process of each component can be varied. All equivalent transformations and improvements made on the basis of the technical solution of the present invention should not be excluded from the protection scope of the present invention.

Claims

1. A multi-objective optimization method of a wind-solar-pumped hydro combined system, characterized in that, The method comprises the following steps: acquiring a wind turbine predicted output curve and a photovoltaic turbine predicted output curve of a to-be-tested wind-solar-pumped storage combined system, maximum charging power, minimum charging power, maximum discharging power, minimum discharging power, charging efficiency and discharging efficiency of a pumped storage unit, maximum reservoir capacity and minimum reservoir capacity of an upstream reservoir and a downstream reservoir, minimum starting time and minimum stopping time of an electric motor, minimum starting time and minimum stopping time of a generator, and planned output data of the wind-solar-pumped storage combined system; inputting the acquired data into a pre-constructed multi-objective optimization model of the wind-solar-pumped storage combined system to obtain optimal output planning of the pumped storage unit in the to-be-tested wind-solar-pumped storage combined system and optimal scheduling strategy of the to-be-tested wind-solar-pumped storage combined system; the construction process of the multi-objective optimization model of the wind-solar-pumped storage combined system comprises the following steps: establishing a multi-objective optimization model of the wind-solar-pumped storage combined system based on operating characteristics of the wind turbine, the photovoltaic turbine and the pumped storage unit; performing normalization processing on a multi-objective function of the multi-objective optimization model of the wind-solar-pumped storage combined system by using a normalization method to obtain a final multi-objective optimization model of the wind-solar-pumped storage combined system; the step of establishing the multi-objective optimization model of the wind-solar-pumped storage combined system based on the operating characteristics of the wind turbine, the photovoltaic turbine and the pumped storage unit comprises the following steps: determining a target function of the multi-objective optimization model of the wind-solar-pumped storage combined system based on the operating characteristics of the wind turbine, the photovoltaic turbine and the pumped storage unit, wherein the target function comprises a target function of minimum system grid-connected power fluctuation and a target function of maximum system revenue; determining a constraint condition of the multi-objective optimization model of the wind-solar-pumped storage combined system, wherein the constraint condition comprises a power balance constraint, a start-stop state constraint, an output power constraint, a climbing constraint and a reservoir capacity constraint of the pumped storage unit, and an output power opportunity constraint; the output power opportunity constraint of the wind-solar-pumped storage combined system is determined by using a CvaR theory, and the output power opportunity constraint of the wind-solar-pumped storage combined system is as follows: wherein, is the risk value of the time instant random variable at a confidence level ; is a sampling point; is a confidence level; is an intermediate variable of the time instant; is the maximum operating deviation of the output power of the wind-solar-pumped storage combined system from the planned output; is the power generation of the pumped storage unit at the time instant ; is the power purchase of the wind-solar-pumped storage combined system at the time instant ; is the planned output of the wind-solar-pumped storage combined system at the time instant ; is the total number of time periods; , are respectively the actual output power of the wind turbine and the photovoltaic unit at the time instant under the th scenario.

2. The multi-objective optimization method of a wind-solar-pumped storage combined system according to claim 1, wherein, the target function of minimum system grid-connected power fluctuation is as follows: wherein, is the wind-solar-pumped hydro combined system grid-connected power fluctuation; is the wind-solar-pumped hydro combined system in is the output power of the time period; is the average value of the output power of the wind-solar-pumped hydro combined system; is the total number of time periods; the target function of maximum system revenue is as follows: wherein, is the wind-solar-pumped storage combined system benefit; is the wind-solar-pumped storage combined system electricity sale benefit; is the pumped storage unit operation cost; is the wind and solar curtailment penalty; is the wind-solar-pumped storage combined system deviation from the planned output penalty.

3. The multi-objective optimization method of a wind-solar-pumped hydro combined system according to claim 2, wherein, the target function of the final multi-objective optimization model of the wind-solar-pumped storage combined system is as follows: wherein, is the normalized value of the original multi-objective function; is the fluctuation variance of the grid-connected power of the wind-solar complementary system; is the total revenue of the wind-solar complementary system during operation; and are the weight values of the two sub-objective functions, respectively.

4. The multi-objective optimization method of a wind-solar-pumped hydro combined system according to claim 1, wherein, the optimal output planning comprises charging power and discharging power of the pumped storage unit in the wind-solar-pumped storage combined system in each hour of a running day; the optimal scheduling strategy comprises a start combination of the pumped storage unit in the wind-solar-pumped storage combined system in the running day, wind curtailment power, light curtailment power and power purchase power planning of the wind-solar-pumped storage combined system.

5. A multi-objective optimization system of a wind-solar-pumped hydro combined system, characterized in that, The method comprises the following steps: a data acquisition module is configured to acquire a wind turbine predicted output curve and a photovoltaic turbine predicted output curve of a to-be-tested wind-solar-pumped storage combined system, maximum charging power, minimum charging power, maximum discharging power, minimum discharging power, charging efficiency and discharging efficiency of a pumped storage unit, maximum reservoir capacity and minimum reservoir capacity of an upstream reservoir and a downstream reservoir, minimum starting time and minimum stopping time of an electric motor, minimum starting time and minimum stopping time of a generator, and planned output data of the wind-solar-pumped storage combined system; The multi-objective optimization module is configured to input the obtained data into a pre-constructed multi-objective optimization model of the wind-solar-pumped storage combined system to obtain an optimal output plan of pumped storage units in the to-be-tested wind-solar-pumped storage combined system and an optimal scheduling strategy of the to-be-tested wind-solar-pumped storage combined system. The construction process of the multi-objective optimization model of the wind-solar-pumped storage combined system includes: Based on the operating characteristics of the wind turbine, the photovoltaic unit and the pumped storage unit, a multi-objective optimization model of the wind-solar-pumped storage combined system is established. The multi-objective function of the multi-objective optimization model of the wind-solar-pumped storage combined system is normalized by using a normalization method to obtain a final multi-objective optimization model of the wind-solar-pumped storage combined system. The multi-objective optimization model of the wind-solar-pumped storage combined system is established based on the operating characteristics of the wind turbine, the photovoltaic unit and the pumped storage unit, and includes: Based on the operating characteristics of the wind turbine, the photovoltaic unit and the pumped storage unit, a multi-objective optimization model of the wind-solar-pumped storage combined system is established. The multi-objective optimization model of the wind-solar-pumped storage combined system is established based on the operating characteristics of the wind turbine, the photovoltaic unit and the pumped storage unit, and includes: The constraint condition of the multi-objective optimization model of the wind-solar-pumped storage combined system includes power balance constraint, start-stop state constraint, output power constraint, climbing constraint and storage capacity constraint of the pumped storage unit, and output power opportunity constraint. wherein, is the risk value of the time instant random variable at a confidence level ; is a sampling point; is a confidence level; is an intermediate variable of the time instant; is the maximum operating deviation of the output power of the wind-solar-pumped storage combined system from the planned output; is the power generation of the pumped storage unit at the time instant ; is the power purchase of the wind-solar-pumped storage combined system at the time instant ; is the planned output of the wind-solar-pumped storage combined system at the time instant ; is the total number of time periods; , are the actual output powers of the wind turbine and the photovoltaic unit at the time instant under the th scenario, respectively.

6. A processing device, characterized by The output power opportunity constraint of the wind-solar-pumped storage combined system is determined by using the CvaR theory, and the output power opportunity constraint of the wind-solar-pumped storage combined system is:

7. A computer-readable storage medium, characterized in that, The computer program instructions include computer program instructions, wherein the computer program instructions are executed by a processing device to implement the steps corresponding to the multi-objective optimization method of the wind-solar-pumped storage combined system in any one of claims 1-4. The computer program instructions include computer program instructions, wherein the computer program instructions are executed by a processing device to implement the steps corresponding to the multi-objective optimization method of the wind-solar-pumped storage combined system in any one of claims 1-4.

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