Method, system and equipment for optimizing and adjusting two-stage pumped storage unit

Abstract

The invention discloses a two-stage pumped storage unit optimization adjustment method, system and equipment, and the method comprises the steps: obtaining a new energy short-term prediction value from T + 4 to T + 24 hours according to the operation basic data before the T moment of the D day; according to the basic data of the D day before the T moment and the new energy short-term prediction value of T + 4 to T + 24 hours, obtaining thermal power target output of a certain moment t, and according to the thermal power target output of the certain moment t, determining a peak time period and a valley time period; a thermal power generating unit output dynamic planning optimization algorithm considering n pumping conversion intervals is constructed and solved, and the pumped storage unit output optimized in the first stage is obtained; when it is judged that the water level reaches the upper limit, the pumped storage unit replaces the hydroelectric generating set to use the frequency modulation capacity, and output of the pumped storage unit optimized in the second stage is obtained. The method gives consideration to frequency modulation and peak regulation effects, and can improve the problem that the day-ahead plan of the pumped storage unit is difficult to effectively execute in the scene of continuous generation of new energy in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of large power grid dispatching and operation, and specifically relates to a method, system and equipment for optimizing and adjusting two-stage pumped storage units. Background Technology

[0002] Pumped storage units, as technologically mature and cost-effective large-scale energy storage devices in the power grid, are key supporting equipment for ensuring the safe and stable operation of the power system and the transformation of the energy structure. In terms of power balance regulation, during periods of low grid load, the units operate in motor mode, consuming surplus grid energy to pump water from the lower reservoir to the upper reservoir, realizing the conversion and storage of electrical energy into gravitational potential energy. During periods of high load, the units switch to generator mode, using water released from the upper reservoir to drive turbine generators to generate electricity, supplementing the power grid and effectively smoothing load fluctuations and alleviating the spatial and temporal mismatch between power supply and demand. In terms of grid frequency regulation and peak shaving, thanks to their rapid start-up and shutdown speeds and flexible operating mode switching, pumped storage units can quickly respond to grid frequency deviations, maintaining the system frequency within the rated range by adjusting output, thus improving the grid's frequency regulation capability. Simultaneously, they can accurately track load changes according to dispatch instructions, undertaking deep peak shaving tasks for the grid, providing stable operating conditions for baseload power sources such as thermal power units and nuclear power units, and reducing wind and solar curtailment rates.

[0003] The pumped-storage hydroelectric power units in the Northeast China power grid are relatively large and play a crucial role in grid frequency regulation and peak shaving. However, due to the high proportion of renewable energy in the Northeast grid, coupled with the uncontrollable, volatile, and unpredictable nature of renewable energy power generation leading to significant short-term intraday power forecasting errors, the day-ahead power projection curves of pumped-storage units are often difficult to execute effectively within a single day. Furthermore, under the current model, when renewable energy generation is high and the reservoir capacity of pumped-storage power plants reaches its limit, pumped-storage units can only be passively shut down, failing to fully utilize their frequency regulation and peak shaving functions and hindering the absorption of renewable energy. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, and equipment for optimizing and adjusting two-stage pumped storage units, which also takes into account frequency regulation and peak shaving functions, and can improve the problem that pumped storage units are difficult to effectively execute day-ahead plans under the current scenario of continuous large-scale generation of new energy.

[0005] To achieve the above objectives, the solution of the present invention is: A method for optimizing and adjusting a two-stage pumped storage unit includes, according to D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast of new energy sources; among which... D For the day the power grid actually operates, TThis refers to a specific integer moment on the day the power grid is actually in operation. According to the above D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t According to a certain moment t thermal power target output F ( t Determine peak and off-peak periods; Define one adjacent peak period and one adjacent trough period as one pumping-storage unit pumping-out switching interval. M n Constructing a set of peak and off-peak power generation intervals , t n For the first n A single extraction and conversion interval period F n For the first n Thermal power output during each extraction and conversion interval period S t ( n ) is the first n Peak power generation of thermal power plants during peak periods L t ( n ) is the first n The maximum peak power output of thermal power during peak periods S d ( n ) is the first n Off-peak electricity volume of thermal power plants during off-peak periods L d ( n ) is the first n The lowest off-peak electricity for thermal power during off-peak periods; construction considerations n The output of thermal power units in each extraction and conversion zone F n ( t The dynamic programming optimization algorithm was used to solve the problem and obtain the output of the first pumped storage unit. W w ( t ); When the water level reaches its upper limit, the pumped storage unit will replace the hydroelectric generator unit using frequency regulation capacity to obtain the output of the second pumped storage unit. ; The dynamic programming optimization algorithm is as follows:

[0006] In the formula, M 1 represents the first set of peak and trough intervals for thermal power generation. W t (0) represents the initial pumpable reservoir capacity. W d (0) represents the initial power generation capacity of the reservoir; f 0 is the basic thermal power output allocation algorithm. f 1 represents the peak thermal power redistribution algorithm; The basic thermal power output allocation algorithm f 0 includes, based on off-peak hours for thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 0; The peak thermal power redistribution algorithm f 1. Including, based on the off-peak hours of thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 1.

[0007] Among them, according to D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast values ​​for new energy sources, including, D day T Before a certain time, acquire basic operational data; wherein, the basic data includes, T to T +4-hour ultra-short-term forecast value for new energy D gc , T to T +24-hour short-term forecast for new energy D g , T to T +24-hour short-term load forecast Da , T to T +24-hour planned nuclear power output D b , T to T +24-hour cross-regional DC planning value D c , T to T +24-hour planned output of small thermal power plants D e , T to T +24-hour planned hydropower output D d , T to T +24-hour system frequency regulation capacity value D f The sampling interval for the basic data is 15 minutes. Based on the aforementioned basic data, we obtain T +4 to T +24-hour short-term forecast for new energy sources,

[0008] In the formula, t This refers to a specific moment on the day the power grid is actually in operation, with a time interval of 15 minutes. D gx For the revised T +4 to T +24-hour short-term forecast for new energy sources.

[0009] Among them, according to the D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t ),include, Calculate a certain moment using the following formula. t thermal power target output F ( t ),

[0010] In the formula, D a ( t ) for a certain moment t Short-term load forecasts D b ( t) for a certain moment t The planned output of nuclear power plants, D c ( t ) for a certain moment t The planned value of cross-regional DC transmission, D d ( t ) for a certain moment t The planned output value of hydropower. D e ( t ) for a certain moment t The planned output value of small thermal power plants, D f ( t ) for a certain moment t The system frequency regulation capacity value, D g ( t )for T to T At some point within +4 hours t Short-term forecasts for new energy sources D gx ( t )for T +4 to T At some point within 24 hours t Short-term forecasts for new energy sources.

[0011] Among them, according to a certain moment t thermal power target output F ( t Determine peak and off-peak hours, including: At a certain moment t thermal power target output F ( t (and the minimum generating capacity of thermal power) F 2( t )Compare; judge F ( t )> F 2( t )hour, t The time intervals are the peak times for thermal power generation, and the time intervals consisting of consecutive peak times for thermal power generation are called peak periods. T 尖 ; judge F ( t )< F 2( t )hour, t The time at which thermal power generation is at its lowest point is called the off-peak time. A period consisting of consecutive off-peak times of thermal power generation is called the off-peak period. T 低 .

[0012] Among them, the basic thermal power output allocation algorithm f The specific content of 0 includes, Calculate the off-peak period of thermal power T 低 Pumping demand This allows us to obtain the electricity required for pumping water. ,in, W max This is the maximum pumping power of the pumped storage unit. W This is the total reservoir capacity of the pumped storage units. g For pumped storage units, the reservoir capacity-pumping power conversion function is used. Calculate peak periods for thermal power generation T 尖 Pumpable power ;in, δ This refers to the average energy conversion efficiency of pumped storage units. W t This refers to the pumpable reservoir capacity of the pumped storage unit; Calculate pumping power and according to Solving for x The target output of thermal power is the intermediate-state thermal power output. ; The peak thermal power redistribution algorithm f The specific content of 1 includes, Calculate the off-peak period of thermal power T 低 Pumping demand This allows us to obtain the electricity required for pumping water. ; Calculate peak periods for thermal power generation T 尖 Pumping capacity Thus, the pumpable electricity is obtained. ; Calculate pumping power Another Solving for x The target output of thermal power is the intermediate-state thermal power output. .

[0013] Specifically, when the water level reaches its upper limit, the pumped-storage unit will replace the hydroelectric unit using frequency regulation capacity to obtain the output of the second pumped-storage unit. ,include, When the water level is determined to have reached its upper limit, pumped-storage units replace hydroelectric units in frequency regulation capacity, thus incorporating more renewable energy sources. S 'for,

[0014] The output of the second pumped storage unit for:

[0015] In the formula, T 抽 for T 抽蓄 Pumping periods during the time period T 发 for T 抽蓄 During the power generation period of the time period, T 抽 + T 发 = T 抽蓄 , T 抽蓄 This refers to the period when the pumped storage unit's reservoir capacity reaches its upper limit and the system's peak-shaving and power rationing measures have not been lifted.

[0016] A two-stage pumped storage unit optimization and adjustment system includes, The module for obtaining short-term forecasts of new energy is configured to... D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast of new energy sources; among which... D For the day the power grid actually operates, T This refers to a specific integer moment on the day the power grid is actually in operation. The time period segmentation module is configured to, based on the above... D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t According to a certain moment t thermal power target output F ( t Determine peak and off-peak periods; The first optimization module is configured to define one adjacent peak period and one adjacent trough period as one pumping-storage unit pumping-storage conversion interval. M n Constructing a set of peak and off-peak power generation intervals , t n For the first n A single extraction and conversion interval period F n For the first nThermal power output during each extraction and conversion interval period S t ( n ) is the first n Peak power generation of thermal power plants during peak periods L t ( n ) is the first n The maximum peak power output of thermal power during peak periods S d ( n ) is the first n Off-peak electricity volume of thermal power plants during off-peak periods L d ( n ) is the first n The lowest off-peak electricity for thermal power during off-peak periods; construction considerations n The output of thermal power units in each extraction and conversion zone F n ( t The dynamic programming optimization algorithm was used to solve the problem and obtain the output of the first pumped storage unit. W w ( t );as well as, The second optimization module is configured to, when it determines that the water level has reached its upper limit, replace the hydroelectric generator unit with the frequency regulation capacity to obtain the output of the second pumped storage unit. ; The dynamic programming optimization algorithm is as follows:

[0017] In the formula, M 1 represents the first set of peak and trough intervals for thermal power generation. W t (0) represents the initial pumpable reservoir capacity. W d (0) represents the initial power generation capacity of the reservoir; f 0 is the basic thermal power output allocation algorithm. f 1 represents the peak thermal power redistribution algorithm; The basic thermal power output allocation algorithm f 0 includes, based on off-peak hours for thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 0; The peak thermal power redistribution algorithm f 1. Including, based on the off-peak hours of thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 1.

[0018] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, it implements the steps of the two-stage pumped storage unit optimization and adjustment method as described above.

[0019] A computer-readable storage medium storing a computer program; when executed by a processor, the computer program implements the steps of the two-stage pumped storage unit optimization and adjustment method described above.

[0020] After adopting the above scheme, the beneficial effects of the present invention are as follows: In scenarios where the intraday prediction error of new energy is large and new energy generation is continuous and large, the present invention can give full play to the peak-shaving and frequency regulation role of pumped storage units and promote the consumption of new energy by optimizing the intraday curve of pumped storage units. Attached Figure Description

[0021] Figure 1 This is a flowchart of the present invention; Figure 2 It is the output optimization curve of pumped storage units under the scenario of continuous large-scale generation of new energy. Detailed Implementation

[0022] The technical solution and beneficial effects of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] The two-stage pumped storage unit (PSU) scheduling optimization method proposed in this invention is mainly applied to the optimized scheduling of PSUs under scenarios of continuous high renewable energy generation. In the first stage, when the power grid needs PSUs to pump water to absorb renewable energy, PSUs that have not filled the upper reservoir should operate to maximize the utilization of the pumpable reservoir capacity. When there is temporary space for conventional power generation during a period of high renewable energy generation, and it is estimated that renewable energy will generate again in a few hours, the power grid needs PSUs to quickly lower the water level in the upper reservoir to free up reservoir capacity for pumping again, maximizing the absorption of renewable energy. In the second stage, considering the multi-year regulation characteristics of the main reservoirs in the Northeast power grid, the temporary storage of water in the reservoir after the units are shut down will not cause a rapid rise in water level. At this time, conventional hydropower only retains units responsible for water supply, and the frequency regulation capacity of the power grid is undertaken by the PSUs. The frequency regulation capacity of the PSUs is determined according to the actual operating needs of the power grid. After the PSUs operate at higher frequencies to free up a certain amount of reservoir capacity, they will switch back to pumping water to absorb renewable energy.

[0024] Figure 1 The flowchart of this invention is as follows: S1: D day T Before the specified time, acquire the basic operational data, which includes: T to T +4-hour ultra-short-term forecast value for new energy D gc , T to T +24-hour short-term forecast for new energy D g , T to T +24-hour short-term load forecast D a , T to T +24-hour planned nuclear power output D b , T to T +24-hour cross-regional DC planning value D c , T to T +24-hour planned output of small thermal power plants D e , T to T +24-hour planned hydropower output D d , T to T +24-hour system frequency regulation capacity value D f Minimum generating capacity of thermal power plantsF 2; The sampling interval for the basic data is 15 minutes. D For the day the power grid actually operates, T This refers to a specific integer moment on the day the power grid is actually in operation. S2: Correction T +4 to T The formula for calculating the short-term forecast value of new energy sources for +24 hours is as follows:

[0025] In the formula, t This refers to a specific moment on the day the power grid is actually in operation, with a time interval of 15 minutes. D gx For the revised T +4 to T +24-hour short-term forecast for new energy sources; S3: D day T Before the specified time, obtain the pumpable reservoir capacity of the pumped storage unit. W t Pumped storage hydroelectric power generation capacity W d Total reservoir capacity of pumped storage units W Maximum pumping power of pumped storage units W max Average energy conversion rate of pumped storage units δ Pumped storage unit reservoir capacity-pumping power conversion function g ; S4: Calculate a certain time point t thermal power target output F ( t The calculation formula is as follows:

[0026] S5: Judgment F ( t )> F 2( t )hour, t The time intervals are the peak times for thermal power generation, and the time intervals consisting of consecutive peak times for thermal power generation are called peak periods. T 尖 , No. n Peak power generation during peak periods , No. n Maximum peak power of thermal power during peak periods ; S6: Judgment F ( t )< F 2( t )hour, tThe time at which thermal power generation is at its lowest point is called the off-peak time. A period consisting of consecutive off-peak times of thermal power generation is called the off-peak period. T 低 , No. n Off-peak electricity volume of thermal power during off-peak periods , No. n The lowest off-peak electricity for thermal power during off-peak periods ; S7: The operation process is divided into two stages. In the first stage, one adjacent peak period and one trough period are defined as one pumping-storage unit pumping-storage conversion interval. M n Constructing a set of peak and off-peak power generation intervals , t n For the first n A single extraction and conversion interval period F n For the first n Thermal power output during the extraction and conversion period; establishing considerations n The output of thermal power units in each extraction and conversion zone F n ( t The dynamic programming optimization algorithm is used to optimize and solve the problem. The dynamic programming optimization algorithm is as follows:

[0027] In the formula, M 1 represents the first set of peak and trough intervals for thermal power generation. W t (0) represents the initial pumpable reservoir capacity. W d (0) represents the initial power generation capacity of the reservoir. f 0 is the basic thermal power output allocation algorithm. f 1 represents the peak thermal power redistribution algorithm; The basic thermal power output allocation algorithm f 0 includes: Calculate the off-peak period of thermal power T 低 Pumping demand Electricity demand for pumping ; Calculate peak periods for thermal power generation T 尖 Pumping capacity Pumping power ; Calculate pumping power Another Solving for x The target output of thermal power is the intermediate-state thermal power output. .

[0028] The peak thermal power redistribution algorithm f 1 includes: Calculate the off-peak period of thermal power T 低 Pumping demand Electricity demand for pumping ; Calculate peak periods for thermal power generation T 尖 Pumping capacity Pumping power ; Calculate pumping power Another Solving for x The target output of thermal power is the intermediate-state thermal power output. .

[0029] S8: Calculate the output of the pumped storage unit after the first stage of optimization. ; S9: In the second phase, pumped storage units will replace conventional hydroelectric units in frequency regulation capacity, and will incorporate more new energy sources. S 'for:

[0030] Calculate the output of the pumped storage unit after the second stage optimization. for:

[0031] In the formula, T 抽 for T 抽蓄 Pumping periods during the time period T 发 for T 抽蓄 During the power generation period of the time period, T 抽 + T 发 = T 抽蓄 , T 抽蓄 This refers to the period when the pumped storage unit's reservoir capacity reaches its upper limit and the system's peak-shaving and power rationing measures have not been lifted.

[0032] Figure 2This is a case study of optimized operation of pumped storage units under conditions of continuous high renewable energy generation on a certain day. The blue curve represents the renewable energy peak-shaving obstruction curve, and the yellow curve represents the pumped storage unit output curve optimized by this invention. Between 2:30 and 16:00, the power grid experienced continuous obstruction of renewable energy peak-shaving. Specifically, between 2:30 and 11:30, the first-stage optimization method was adopted, aiming to maximize the utilization of the upper reservoir capacity of the pumped storage power station. The pumped storage units continued to operate in pumping mode until the water level reached the upper limit and pumping could no longer be performed, at which point they were shut down. Between 11:45 AM and 3:30 PM, the second phase of optimization will be implemented: From 11:45 AM to 2:00 PM, conventional hydropower units will only operate at their lowest output for water supply, while pumped-storage units will replace conventional hydropower units in frequency regulation operation, freeing up some upper reservoir capacity through power generation. From 2:00 PM to 3:30 PM, as peak-shaving restrictions are expected to be lifted, pumped-storage units will switch from power generation to pumping operation to absorb more renewable energy, while conventional hydropower units will operate in frequency regulation mode. From 4:00 PM to 6:00 PM, with sufficient power generation capacity available on the grid, pumped-storage units will switch from pumping to power generation operation to lower the water level in the upper reservoir, ensuring sufficient upper reservoir capacity for subsequent periods of high renewable energy generation.

[0033] This invention also provides a two-stage pumped storage unit optimization and adjustment system, including: The module for obtaining short-term forecasts of new energy is configured to... D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast of new energy sources; wherein, the sampling interval of the basic data is 15 minutes. D For the day the power grid actually operates, T This refers to a specific integer moment on the day the power grid is actually in operation. The time period segmentation module is configured to, based on the above... D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t According to a certain moment t thermal power target output F ( t Determine peak and off-peak periods; The first optimization module is configured to obtain the output of the first pumped storage unit during the pumping phase. W w ( t );as well as, The second optimization module is configured to determine the second stage when the water level reaches the upper limit, and then use the frequency regulation capacity of the pumped storage unit instead of the hydroelectric unit to obtain the output of the second pumped storage unit. .

[0034] This invention also provides another computer device, including a processor and a memory configured to store a computer program capable of running on the processor; wherein, when the processor is configured to run the computer program, it performs the method steps described in the foregoing embodiments.

[0035] In practical applications, the aforementioned processor includes a Field-Programmable Gate Array (FPGA), and the processor can be a Central Processing Unit (CPU) or a Digital Signal Processor (DSP). It is understood that for different devices, the electronic devices used to implement the above-mentioned processor functions can also be other types, and this embodiment of the invention does not impose specific limitations.

[0036] The aforementioned memory can be volatile memory, such as random-access memory (RAM); or non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); or a combination of the above types of memory, and provides instructions and data to the processor.

[0037] In an exemplary embodiment, the present invention also provides a computer-readable storage medium for storing a computer program.

[0038] Optionally, the computer-readable storage medium can be applied to any of the methods in the embodiments of the present invention, and the computer program causes the computer to execute the corresponding processes implemented by the processor in the various methods of the embodiments of the present invention. For the sake of brevity, these will not be described in detail here.

[0039] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0044] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for optimizing and adjusting a two-stage pumped storage unit, characterized in that: include, according to D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast of new energy sources; among which... D For the day the power grid actually operates, T This refers to a specific integer moment on the day the power grid is actually in operation. According to the above D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t According to a certain moment t thermal power target output F ( t Determine peak and off-peak periods; Define one adjacent peak period and one adjacent trough period as one pumping-storage unit pumping-out switching interval. M n Constructing a set of peak and off-peak power generation intervals , t n For the first n A single extraction and conversion interval period F n For the first n Thermal power output during each extraction and conversion interval period S t ( n ) is the first n Peak power generation of thermal power plants during peak periods L t ( n ) is the first n The maximum peak power output of thermal power during peak periods S d ( n ) is the first n Off-peak electricity volume of thermal power plants during off-peak periods L d ( n ) is the first n The lowest off-peak electricity for thermal power during off-peak periods; construction considerations n The output of thermal power units in each extraction and conversion zone F n ( t The dynamic programming optimization algorithm was used to solve the problem and obtain the output of the first pumped storage unit. W w ( t ); When the water level reaches its upper limit, the pumped storage unit will replace the hydroelectric generator unit using frequency regulation capacity to obtain the output of the second pumped storage unit. ; The dynamic programming optimization algorithm is as follows: ， In the formula, M 1 represents the first set of peak and trough intervals for thermal power generation. W t (0) represents the initial pumpable reservoir capacity. W d (0) represents the initial power generation capacity of the reservoir; f 0 is the basic thermal power output allocation algorithm. f 1 represents the peak thermal power redistribution algorithm; The basic thermal power output allocation algorithm f 0 includes, based on off-peak hours for thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 0; The peak thermal power redistribution algorithm f 1. Including, based on off-peak periods of thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 1.

2. The two-stage pumped storage unit optimization and adjustment method as described in claim 1, characterized in that: according to D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast values ​​for new energy sources, including, D day T Before a certain time, acquire basic operational data; wherein, the basic data includes, T to T +4-hour ultra-short-term forecast value for new energy D gc , T to T +24-hour short-term forecast for new energy D g , T to T +24-hour short-term load forecast D a , T to T +24-hour planned nuclear power output D b , T to T +24-hour cross-regional DC planning value D c , T to T +24-hour planned output of small thermal power plants D e , T to T +24-hour planned hydropower output D d , T to T +24-hour system frequency regulation capacity value D f The sampling interval for the basic data is 15 minutes. Based on the aforementioned basic data, we obtain T +4 to T +24-hour short-term forecast for new energy sources, ， In the formula, t This refers to a specific moment on the day the power grid is actually in operation, with a time interval of 15 minutes. D gx For the revised T +4 to T +24-hour short-term forecast for new energy sources.

3. The two-stage pumped storage unit optimization and adjustment method as described in claim 1, characterized in that: According to the above D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t ),include, Calculate a certain moment using the following formula. t thermal power target output F ( t ), ， In the formula, D a ( t (for a certain moment) t Short-term load forecasts D b ( t ) for a certain moment t The planned output of nuclear power plants, D c ( t ) for a certain moment t The planned value of cross-regional DC transmission, D d ( t (for a certain moment) t The planned output value of hydropower. D e ( t ) for a certain moment t The planned output value of small thermal power plants, D f ( t ) for a certain moment t The system frequency regulation capacity value, D g ( t )for T to T At some point within +4 hours t Short-term forecasts for new energy sources D gx ( t )for T +4 to T At some point within 24 hours t Short-term forecasts for new energy sources.

4. The two-stage pumped storage unit optimization and adjustment method as described in claim 1, characterized in that: According to a certain moment t thermal power target output F ( t Determine peak and off-peak hours, including: At a certain moment t thermal power target output F ( t (and the minimum generating capacity of thermal power) F 2( t )Compare; judge F ( t )> F 2( t )hour, t The time intervals are the peak times for thermal power generation, and the time intervals consisting of consecutive peak times for thermal power generation are called peak periods. T 尖 ; judge F ( t )< F 2( t )hour, t The time at which thermal power generation is at its lowest point is called the off-peak time. A period consisting of consecutive off-peak times of thermal power generation is called the off-peak period. T 低 .

5. The optimization and adjustment method for a two-stage pumped storage unit as described in claim 1, characterized in that: The basic thermal power output allocation algorithm f The specific content of 0 includes, Calculate the off-peak period of thermal power T 低 Pumping demand This allows us to obtain the electricity required for pumping water. , ,in, W max This is the maximum pumping power of the pumped storage unit. W This is the total reservoir capacity of the pumped storage units. g For pumped storage units, the reservoir capacity-pumping power conversion function is used. Calculate peak periods for thermal power generation T 尖 Pumpable power , ;in, δ This refers to the average energy conversion efficiency of pumped storage units. W t This refers to the pumpable reservoir capacity of the pumped storage unit; Calculate pumping power and according to , Solving for x The target output of thermal power is the intermediate-state thermal power output. ; The peak thermal power redistribution algorithm f The specific content of 1 includes, Calculate the off-peak period of thermal power T 低 Pumping demand This allows us to obtain the electricity required for pumping water. , ; Calculate peak periods for thermal power generation T 尖 Pumping capacity Thus, the pumpable electricity is obtained. ; Calculate pumping power and according to , Solving for x The target output of thermal power is the intermediate-state thermal power output. .

6. The two-stage pumped storage unit optimization and adjustment method as described in claim 1, characterized in that: When the water level reaches its upper limit, the pumped storage unit will replace the hydroelectric generator unit using frequency regulation capacity to obtain the output of the second pumped storage unit. ,include, When the water level is determined to have reached its upper limit, pumped-storage units replace hydroelectric units in frequency regulation capacity, thus incorporating more renewable energy sources. S 'for, ， The output of the second pumped storage unit for: ， In the formula, T 抽 for T 抽蓄 Pumping periods during the time period, T 发 for T 抽蓄 During the power generation period of the time period, T 抽 + T 发 = T 抽蓄 , T 抽蓄 This refers to the period when the pumped storage unit's reservoir capacity reaches its upper limit and the system's peak-shaving and power rationing measures have not been lifted.

7. A two-stage pumped storage unit optimization and adjustment system, characterized in that: include, The module for obtaining short-term forecasts of new energy is configured to... D day T The basic data of the operation before the time point is obtained. T +4 to T +24-hour short-term forecast of new energy sources; among which... D For the day the power grid actually operates, T This refers to a specific integer moment on the day the power grid is actually in operation. The time period segmentation module is configured to, based on the above... D day T Basic data before the time, T +4 to T +24-hour short-term forecast of new energy sources, to obtain a certain moment t thermal power target output F ( t According to a certain moment t thermal power target output F ( t Determine peak and off-peak periods; The first optimization module is configured to define one adjacent peak period and one adjacent trough period as one pumping-storage unit pumping-storage conversion interval. M n Constructing a set of peak and off-peak power generation intervals , t n For the first n A single extraction and conversion interval period F n For the first n Thermal power output during each extraction and conversion interval period S t ( n ) is the first n Peak power generation of thermal power plants during peak periods L t ( n ) is the first n The maximum peak power output of thermal power during peak periods S d ( n ) is the first n Off-peak electricity volume of thermal power plants during off-peak periods L d ( n ) is the first n The lowest off-peak electricity for thermal power during off-peak periods; construction considerations n The output of thermal power units in each extraction and conversion zone F n ( t The dynamic programming optimization algorithm was used to solve the problem and obtain the output of the first pumped storage unit. W w ( t );as well as, The second optimization module is configured to, when it determines that the water level has reached its upper limit, replace the hydroelectric generator unit with the frequency regulation capacity to obtain the output of the second pumped storage unit. ; The dynamic programming optimization algorithm is as follows: ， In the formula, M 1 represents the first set of peak and trough intervals for thermal power generation. W t (0) represents the initial pumpable reservoir capacity. W d (0) represents the initial power generation capacity of the reservoir; f 0 is the basic thermal power output allocation algorithm. f 1 represents the peak thermal power redistribution algorithm; The basic thermal power output allocation algorithm f 0 includes, based on off-peak hours for thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 0; The peak thermal power redistribution algorithm f 1. Including, based on off-peak periods of thermal power generation T 低 Pumping demand electricity P n and peak hours of thermal power T 尖 Pumpable power P a The amount of electricity used to pump water was obtained. This leads to the optimized target output of thermal power plants. f 1.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor; characterized in that: When the processor executes the computer program, it implements the steps of the two-stage pumped storage unit optimization and adjustment method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program; characterized in that: When the computer program is executed by the processor, it implements the steps of the two-stage pumped storage unit optimization and adjustment method as described in any one of claims 1 to 2.

Images