A method, device, equipment and medium for generating a water-photovoltaic complementary scheduling scheme

Abstract

The present disclosure relates to the field of new energy technology, and in particular to a method, device, equipment and medium for generating a water-photovoltaic complementary scheduling scheme. The present invention inputs the acquired water and electricity load demand and operation data at each historical moment within a preset historical time into a fixed output scheduling model with the goal of minimizing the difference between the actual output of the unit and the water and electricity load demand, and uses pre-configured constraints to constrain the operation data to output target scheduling data corresponding to each historical moment, and finally generates a corresponding target scheduling scheme according to the target scheduling data corresponding to each historical moment; the scheme uses the fixed output scheduling model to constrain and calculate the real historical data, so that the target scheduling scheme finally outputted can not only meet the stable power supply demand of the power grid, but also minimize the impact of the access of photovoltaic power stations on the operation of hydropower stations in the complementary energy basin, and also provide technical support and decision-making support for the development and operation regulation of water-photovoltaic multi-energy complementary systems in the basin in the future.

Description

Technical Field

[0001] The present disclosure relates to the field of new energy technology, and in particular to a method, device, equipment and medium for generating a water-photovoltaic complementary scheduling scheme. Background Art

[0002] Photovoltaic power generation has random fluctuations due to the influence of meteorological and environmental factors. Large-scale access will increase power fluctuations in the power grid, thus threatening the safe and stable operation of the power grid. However, due to its rapid and reliable regulation performance, hydropower complementarity has become an important operation mode to promote the grid connection and consumption of photovoltaic power.

[0003] In my country, the water-solar multi-energy complementary system is mainly developed on a large scale, which will have an impact on the operation of hydropower in the complementary energy basin. Therefore, after the photovoltaic power station is connected, how to determine a scheduling plan that can both provide stable power supply to the grid and not affect the normal operation of hydropower in the complementary energy basin has become a problem that needs to be solved. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and medium for generating a water-photovoltaic complementary scheduling scheme.

[0005] In a first aspect, the present invention provides a method for generating a water-solar complementary scheduling scheme, comprising:

[0006] The hydropower load demand and operation data at each historical moment within a preset historical time period are obtained. The hydropower load demand at each historical moment is determined based on the grid load demand at the historical moment and the photovoltaic output at the historical moment. Based on the pre-configured constraints, a fixed output scheduling model is constructed with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand. The hydropower load demand and operation data at each historical moment are input into the fixed output scheduling model, and the target scheduling data corresponding to each historical moment is output. The target scheduling data meets the constraints and the difference between the actual output of the unit determined based on the target scheduling data and the hydropower load demand is minimized. According to the target scheduling data corresponding to each historical moment, a target scheduling plan corresponding to each historical moment is generated.

[0007] The method for generating a hydro-photovoltaic complementary scheduling scheme provided in this embodiment inputs the hydropower load demand and operation data obtained at each historical moment within a preset historical time length into a fixed output scheduling model with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand, and uses pre-configured constraints to constrain the operation data to output target scheduling data corresponding to each historical moment, and finally generates a corresponding target scheduling scheme according to the target scheduling data corresponding to each historical moment; this scheme uses the fixed output scheduling model to constrain and calculate the real historical data, so that the target scheduling scheme finally outputted can not only meet the stable power supply demand of the power grid, but also minimize the impact of the access of photovoltaic power stations on the operation of hydropower stations in the complementary energy basin, and also provide technical support and decision-making support for the development and operation and regulation of future basin water-photovoltaic multi-energy complementary systems.

[0008] In an optional implementation, the fixed output scheduling model is implemented in the following manner:

[0009] The objective function is:

[0010] ΔN=min|N d -N s |

[0011]

[0012] Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N s is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station, Q t is the power generation flow at time t, and They are the upstream and downstream water levels of the hydropower station during period t;

[0013] The constraints are:

[0014]

[0015] Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b It is the guaranteed output set for the model under the premise of photovoltaic access.

[0016] In an optional implementation, the hydropower load demand and operation data at each historical moment are input into a fixed output dispatch model, and the target dispatch data corresponding to each historical moment is output, including:

[0017] The hydropower load demand and operation data of each historical moment are input into the fixed output scheduling model, and at least one set of scheduling data corresponding to each historical moment is obtained based on the constraints and the operation data; the scheduling data that meets the model objectives are screened from at least one set of scheduling data corresponding to the preset historical moment, and the scheduling data that meets the model objectives are determined as the target scheduling data of the preset historical moment, and the preset historical moment is any one of multiple historical moments.

[0018] In an optional implementation, selecting scheduling data that meets the model target from at least one set of scheduling data corresponding to a preset historical moment, and determining the scheduling data that meets the model target as the target scheduling data at the preset historical moment, includes:

[0019] Calculate the actual output of the unit corresponding to each set of dispatching data in at least one set of dispatching data; calculate the difference between the actual output of each unit and the hydropower load demand at a preset historical moment, and obtain at least one difference; determine the minimum value from the at least one difference, and determine the dispatching data corresponding to the minimum value as the target dispatching data at the preset historical moment.

[0020] In an optional implementation, before inputting the hydropower load demand and operation data at each historical moment into the fixed output dispatch model, the method further includes:

[0021] The water level at the last historical moment within the preset historical time length is set as the normal water level of the reservoir.

[0022] In an optional implementation, after generating a target scheduling scheme corresponding to each historical moment according to the target scheduling data corresponding to each historical moment, the method further includes:

[0023] A first scheduling plan set is formed by the target scheduling plans corresponding to each historical moment; when the first scheduling plan set does not meet the preset requirements, the water and electricity load demand at each historical moment is re-obtained, and a second scheduling plan set is determined after the water and electricity load demand is re-obtained, until the second scheduling plan set meets the preset requirements.

[0024] In an optional implementation, re-obtaining the hydropower load demand at each historical moment includes:

[0025] Obtain the photovoltaic output at each historical moment and the grid load demand at each historical moment; adjust the photovoltaic output at each historical moment according to a preset multiple to obtain the photovoltaic output at each historical moment after adjustment; based on the grid load demand at each historical moment and the photovoltaic output at each historical moment after adjustment, determine the hydropower load demand at each historical moment after adjusting the photovoltaic output.

[0026] In a second aspect, the present invention provides a device for generating a water-solar complementary scheduling scheme, comprising:

[0027] The acquisition module is used to obtain the hydropower load demand and operation data at each historical moment within a preset historical time period, and the hydropower load demand at each historical moment is determined based on the grid load demand and the photovoltaic output at the historical moment; the construction module is used to construct a fixed output scheduling model based on pre-configured constraints and with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand; the output module is used to input the hydropower load demand and operation data at each historical moment into the fixed output scheduling model, and output the target scheduling data corresponding to each historical moment, the target scheduling data meets the constraints and the difference between the actual output of the unit and the hydropower load demand determined based on the target scheduling data is minimized; the generation module is used to generate a target scheduling plan corresponding to each historical moment according to the target scheduling data corresponding to each historical moment.

[0028] In an optional implementation, the fixed output scheduling model in the construction module is implemented in the following manner:

[0029] The objective function is:

[0030] ΔN=min|N d -N s |

[0031]

[0032] Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N s is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station, Q t is the power generation flow at time t, and They are the upstream and downstream water levels of the hydropower station during period t;

[0033] The constraints are:

[0034]

[0035] Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b It is the guaranteed output set for the model under the premise of photovoltaic access.

[0036] In an optional implementation, the output module includes:

[0037] The constraint submodule is used to input the hydropower load demand and operation data of each historical moment into the fixed output scheduling model, and obtain at least one set of scheduling data corresponding to each historical moment based on the constraint conditions and the operation data; the screening submodule is used to screen the scheduling data that meets the model target from at least one set of scheduling data corresponding to the preset historical moment, and determine the scheduling data that meets the model target as the target scheduling data of the preset historical moment, and the preset historical moment is any one of multiple historical moments.

[0038] In an optional implementation, the screening submodule includes:

[0039] The first calculation unit is used to calculate the actual output of the unit corresponding to each set of scheduling data in at least one set of scheduling data; the second calculation unit is used to calculate the difference between the actual output of each unit and the hydropower load demand at a preset historical moment, and obtain at least one difference; the determination unit is used to determine the minimum value from at least one difference, and determine the scheduling data corresponding to the minimum value as the target scheduling data at the preset historical moment.

[0040] In an optional embodiment, before the output module, the device further includes:

[0041] A setting module is used to set the water level at the last historical moment within a preset historical time period as the normal water level of the reservoir.

[0042] In an optional implementation, after generating the module, the device further includes:

[0043] A forming module is used to form a first scheduling plan set from the target scheduling plans corresponding to each historical moment; a determining module is used to re-acquire the water and electricity load demand at each historical moment when the first scheduling plan set does not meet the preset requirements, and determine a second scheduling plan set after re-acquiring the water and electricity load demand, until the second scheduling plan set meets the preset requirements.

[0044] In a third aspect, the present invention provides a computer device, comprising:

[0045] The memory and the processor are communicatively connected with each other, the memory stores computer instructions, and the processor executes the method for generating a water-photovoltaic complementary scheduling scheme of any implementation method of the first aspect of the invention by executing the computer instructions.

[0046] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute a method for generating a water-photovoltaic complementary scheduling scheme according to any one of the embodiments of the first aspect of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0049] Figure 1is a flow chart of a method for generating a water-solar complementary scheduling scheme according to an embodiment of the present invention;

[0050] Figure 2 is a flow chart of a method for generating a water-photovoltaic complementary scheduling scheme according to another embodiment of the present invention;

[0051] Figure 3 is a flow chart of a method for generating a water-solar complementary scheduling scheme according to another embodiment of the present invention;

[0052] Figure 4 is a schematic diagram of the comparison of water heads of hydropower stations on an annual scale according to an embodiment of the present invention;

[0053] Figure 5 is a structural schematic diagram of a device for generating a water-photovoltaic complementary scheduling solution according to an embodiment of the present invention;

[0054] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0056] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0057] Due to the intermittent and random characteristics of photovoltaic power generation, its large-scale development and access bring challenges to the operation of the power system. The instability of photovoltaic output increases the difficulty of power balance and voltage control in the power grid. The power grid needs to be equipped with sufficient complementary capacity to solve this problem. Otherwise, a large amount of power abandonment will occur due to reasons such as substandard photovoltaic power quality, which significantly reduces energy utilization efficiency. Hydropower, due to its rapid regulation performance and reliable regulation capabilities, has become the preferred complementary energy source to stabilize the instability of wind power and photovoltaic power generation, and effectively solve the problems of large-scale centralized access to the grid and remote transmission and consumption of photovoltaic power. Therefore, the water-light multi-energy complementary development model has become an important direction for the large-scale development of clean energy in my country. However, my country's water-light multi-energy complementary system mainly adopts large-scale development, mostly relying on ultra-high voltage and ultra-high voltage transmission to achieve cross-regional connection, local and cross-regional energy consumption, and large-scale development will also have an impact on the operation of basin hydropower as a complementary energy source. To this end, the present invention proposes a method for generating a water-photovoltaic complementary scheduling scheme, which measures the operation status of the hydropower station after access based on the photovoltaic output characteristic data of the photovoltaic power station access site, so as to determine a scheduling scheme that can meet the requirements of stable power supply to the power grid and does not affect the normal hydropower operation in the complementary energy basin based on the measurement results, thereby providing technical support and decision-making support for the development and operation regulation of future basin water-photovoltaic multi-energy complementary systems.

[0058] According to an embodiment of the present invention, an embodiment of a method for generating a water-solar complementary scheduling scheme is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0059] In this embodiment, a method for generating a water-solar complementary scheduling scheme is provided, which can be used in a mobile terminal or a PC. Figure 1 is a flow chart of a method for generating a water-solar complementary scheduling scheme according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0060] Step S101, obtaining the water and electricity load demand at each historical moment within a preset historical time period and the operation data at each historical moment.

[0061] Specifically, the hydropower load demand at each historical moment is determined according to the grid load demand at that historical moment and the photovoltaic output at that historical moment. The grid load demand is the amount of electricity required to ensure stable power supply to the grid, the photovoltaic output is the amount of electricity that the photovoltaic power station can generate after being connected to the photovoltaic power station, and the hydropower load demand is the amount of electricity that the hydropower station needs to provide in addition to the photovoltaic output in order to ensure stable power supply to the grid after being connected to the photovoltaic power station. Among them, the grid load demand at each historical moment can be directly obtained from the power supply department, and the photovoltaic output at each historical moment can be calculated based on the meteorological data of the photovoltaic power station access site at each historical moment. The meteorological data includes but is not limited to sunshine duration, light intensity, weather conditions, cloud cover, and atmospheric pollution level. The method for calculating the photovoltaic output is not specifically limited here, and those skilled in the art can use any feasible method to complete the calculation operation.

[0062] Specifically, the operating data refers to the data generated during the operation of the hydropower station. It should be noted that in this embodiment, when the historical moment is the first historical moment within the preset historical time length, its operating data includes the inflow flow and storage capacity of the reservoir. When the historical moment is a historical moment other than the first historical moment, its operating data only includes the inflow flow.

[0063] For example, taking the Longyangxia Hydropower Station as an example, the grid load demand, photovoltaic output, reservoir inflow and reservoir capacity of the Longyangxia Hydropower Station in each month from January 1, 1990 to December 31, 1996 are obtained, and the hydropower load demand corresponding to the month is determined according to the grid load demand and photovoltaic output of each month. In this embodiment, the preset historical time period is from January 1, 1990 to December 31, 1996, and the historical moment is each month within the preset historical time period.

[0064] Step S102, based on the pre-configured constraints, a fixed output dispatch model is constructed with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand.

[0065] Specifically, the configuration of the constraint conditions corresponds to the impact of the hydro-photovoltaic complementary system on the complementary energy basin. For example, in an optional implementation, the impact of the hydro-photovoltaic complementary system on the complementary energy basin is reflected in the impact on the water level in the reservoir. Then, the constraint conditions are configured as constraints on the reservoir water level so that the water level can be maintained at a normal level during the entire scheduling process.

[0066] Step S103, inputting the hydropower load demand and operation data at each historical moment into the fixed output dispatch model, and outputting the target dispatch data corresponding to each historical moment.

[0067] Specifically, the hydropower load demand and operation data at each historical moment are input into the fixed output scheduling model, the input operation data are constrained by constraints, and the actual output of the unit is calculated based on the data that meets the constraints to obtain the target scheduling data with the smallest difference with the hydropower load demand.

[0068] Specifically, the target dispatching data meets the constraint conditions and the difference between the actual output of the unit determined based on the target dispatching data and the hydropower load demand is the smallest.

[0069] Exemplarily, still taking the embodiment in step S101 as an example, the hydropower load demand, reservoir inflow and reservoir capacity of each month of the Longyangxia Hydropower Station from January 1, 1990 to December 31, 1996 (preset historical time length) are sequentially input into the fixed output scheduling model, and a set of target scheduling data corresponding to each month is output. The target scheduling data includes but is not limited to the power generation flow and head, and the head can be determined by the water levels upstream and downstream of the hydropower station.

[0070] In some optional implementations, before inputting the hydropower load demand and operation data at each historical moment into the fixed output dispatch model, the method further includes:

[0071] The water level at the last historical moment within the preset historical time period (the final water level) is set as the normal water level of the reservoir.

[0072] In addition, the upstream water level of the hydropower station at the first historical moment within the preset historical time period can be set as the dam-front water level of the hydropower station.

[0073] Specifically, since the function of the reservoir is to supply water to the downstream and store water for irrigation, the normal water level, minimum water level and maximum water level must be designed for the reservoir when the reservoir is built. In order to ensure the normal water supply to the downstream, this embodiment sets the last water level at the last historical moment as the normal water level of the reservoir, so that the scheduling process can guarantee the water use of the downstream and reduce the impact of the access of the photovoltaic power station on the normal hydropower operation of the complementary energy basin.

[0074] Step S104, generating a target scheduling plan corresponding to each historical moment according to the target scheduling data corresponding to each historical moment.

[0075] Exemplarily, still taking the embodiment in step S103 as an example, after obtaining the target scheduling data corresponding to each month, the corresponding target scheduling plan can be generated according to the target scheduling data. The target scheduling plan is the optimal scheduling plan that has the least impact on the operation of the hydropower station in the complementary energy basin after connecting to the photovoltaic power station and under the premise of meeting the stable power supply of the power grid.

[0076] The method for generating a hydro-photovoltaic complementary scheduling scheme provided in this embodiment inputs the hydropower load demand and operation data obtained at each historical moment within a preset historical time length into a fixed output scheduling model with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand, and uses pre-configured constraints to constrain the operation data to output target scheduling data corresponding to each historical moment, and finally generates a corresponding target scheduling scheme according to the target scheduling data corresponding to each historical moment; this scheme uses the fixed output scheduling model to constrain and calculate the real historical data, so that the target scheduling scheme finally outputted can not only meet the stable power supply demand of the power grid, but also minimize the impact of the access of photovoltaic power stations on the operation of hydropower stations in the complementary energy basin, and also provide technical support and decision-making support for the development and operation and regulation of future basin water-photovoltaic multi-energy complementary systems.

[0077] In this embodiment, a method for generating a water-solar complementary scheduling scheme is provided, which can be used in a mobile terminal or a PC. Figure 2 is a flow chart of a method for generating a water-solar complementary scheduling scheme according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0078] Step S201, obtaining the water and electricity load demand and operation data of each historical moment within a preset historical time period. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0079] Step S202: Based on the pre-configured constraints, a fixed output dispatch model is constructed with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand.

[0080] Exemplarily, in this embodiment, the fixed output dispatching model is implemented in the following manner:

[0081] The objective function is:

[0082] ΔN=min|N d -N s |

[0083]

[0084] Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N S is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station (the value of η is usually between 70% and 90%), Q t is the power generation flow at time t, and are the upstream and downstream water levels of the hydropower station during period t respectively.

[0085] The constraints are:

[0086]

[0087] Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b It is the guaranteed output set for the model under the premise of photovoltaic access.

[0088] Step S203, inputting the hydropower load demand and operation data at each historical moment into the fixed output dispatch model, and outputting the target dispatch data corresponding to each historical moment.

[0089] Specifically, the above step S203 includes:

[0090] Step S2031, inputting the hydropower load demand and operation data at each historical moment into the fixed output dispatching model, and obtaining at least one set of dispatching data corresponding to each historical moment based on the constraint conditions and the operation data.

[0091] Specifically, the fixed output scheduling model includes an objective function and constraints. The constraints include two parts. The first part is used to generate multiple sets of scheduling data based on input data, and the second part is used to constrain each set of scheduling data in the multiple sets of scheduling data to output at least one set of scheduling data that meets the constraints.

[0092] Exemplarily, in this embodiment, the output scheduling model is taken as an example in step S202, and this embodiment is only described by determining at least one set of scheduling data corresponding to time t as an example, and the specific process is as follows:

[0093] (1) According to the constraints corresponding to the output scheduling model in the embodiment of step S202, the first part of the constraints is:

[0094]

[0095] The second part of the constraint is:

[0096]

[0097] First, obtain the reservoir inflow at time t Reservoir capacity V at time t-1 t-1 , the power generation flow interval The lower limit of the interval Q s As the first value of the power generation flow Q t It should be noted that the reservoir capacity V at time t-1 is t-1 It can be obtained from the calculation results corresponding to time t-1.

[0098] Secondly, the reservoir inflow at time t is Reservoir capacity V at time t-1 t-1 And the power generation flow Q determined this time t As the first set of input data at time t, it is input into the first part of the constraint condition to obtain the first set of output data corresponding to the first set of input data. The first set of output data includes the first set of scheduling data (i.e., the power generation flow Q t , Water level upstream of the hydropower station Water level downstream of hydropower station Among them, according to and Determine the water head), the first set of constraint data (i.e. the maximum flow capacity of the reservoir at time t Maximum discharge capacity of the power station at time t ), the first set of storage capacity data (i.e. the reservoir capacity V at time t t , V t Used to calculate the reservoir capacity V at time t+1 t+1 ).

[0099] Again, determine the power generation flow Q in the first set of dispatching data t Is it within the power generation flow constraint range? The water level upstream of the hydropower station is Is it within the upstream water level constraint range? If the power generation flow Q t and the water level upstream of the hydropower station If at least one of them is not within the corresponding constraint range, the group of scheduling data will be discarded; if the power generation flow Q t and the water level upstream of the hydropower station If both are within their respective constraints, the power generation flow Q t , Water level upstream of the hydropower station and the water level downstream of the hydropower station Input to The actual output N of the unit when dispatching based on the first dispatching data is obtained d , and determine the actual output N of the unit d Is it within the output constraint range (N d ≥N b ), if it is within the output constraint range, the first set of scheduling data is determined as the target data; if it is not within the output constraint range, the first set of scheduling data is discarded.

[0100] Finally, re-value the power generation flow range, and the remaining data ( and V t-1 ) remains unchanged, different input data are formed, the scheduling data corresponding to each set of input data are calculated respectively, and the target scheduling data is determined according to the above method.

[0101] According to the above description, at time t, the power generation flow Q with different values ​​is t Respectively with the reservoir inflow at time t and the reservoir capacity V at time t-1 t-1 Different groups of input data are formed to obtain the scheduling data corresponding to each group of input data. Therefore, if Q t There are n value situations, and there are n groups of scheduling data. From the n groups of scheduling data, the scheduling data that meets the constraint condition (ie, the second part of the constraint condition) is determined as the target scheduling data.

[0102] Step S2032: Filter scheduling data that meets the model target from at least one set of scheduling data corresponding to the preset historical moment, and determine the scheduling data that meets the model target as the target scheduling data of the preset historical moment.

[0103] Specifically, the preset historical moment is any one of a plurality of historical moments.

[0104] In some optional implementations, the above step S2032 includes:

[0105] Step a1, calculating the actual output of the unit corresponding to each set of scheduling data in at least one set of scheduling data.

[0106] Specifically, the calculation formula for the actual output of the unit is:

[0107]

[0108] Exemplarily, one of the multiple historical moments is still used as an example for explanation. For example, according to step S2031, it is obtained that there are 3 groups of scheduling data that meet the constraints at time t. Each group of scheduling data is input into the above formula respectively, and the actual output of the unit corresponding to each group of the 3 groups of scheduling data can be obtained, that is, the actual output of the 3 units is finally obtained.

[0109] Step a2, calculating the difference between the actual output of each unit and the hydropower load demand at a preset historical moment, and obtaining at least one difference.

[0110] Exemplarily, still taking the embodiment in step a1 as an example, the difference between the actual output of each unit and the hydropower load demand at time t is calculated to obtain three differences.

[0111] Step a3, determining a minimum value from at least one difference value, and determining the scheduling data corresponding to the minimum value as the target scheduling data at a preset historical moment.

[0112] Specifically, the smallest difference is determined from the three differences, the actual output of the unit corresponding to the smallest difference is determined as the target actual output, and the dispatch data corresponding to the target actual output is determined as the target dispatch data at time t. It should be emphasized that the difference here is used to characterize the gap between the actual output of the unit and the hydropower load demand, which is a positive value. The target dispatch data is the power generation flow Q with the smallest difference between the actual output of the unit and the hydropower load demand. t , Water level upstream of the hydropower station and the water level downstream of the hydropower station

[0113] Exemplarily, step a2 and step a3 can be achieved as follows.

[0114] ΔN=min|N d -N s |

[0115] Step S204: Generate a target scheduling plan corresponding to each historical moment based on the target scheduling data corresponding to each historical moment. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0116] In this embodiment, a method for generating a water-solar complementary scheduling scheme is provided, which can be used in a mobile terminal or a PC. Figure 3 is a flow chart of a method for generating a water-solar complementary scheduling scheme according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0117] Step S301, obtaining the water and electricity load demand and operation data of each historical moment within a preset historical time period. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0118] Step S302: Based on the pre-configured constraints, a fixed output dispatch model is constructed with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0119] Step S303: Input the hydropower load demand and operation data at each historical moment into the fixed output dispatch model, and output the target dispatch data corresponding to each historical moment. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0120] Step S304: Generate a target scheduling plan corresponding to each historical moment based on the target scheduling data corresponding to each historical moment. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0121] Step S305: forming a first scheduling solution set from the target scheduling solutions corresponding to each historical moment.

[0122] Step S306, when the first scheduling scheme set does not meet the preset requirements, re-obtain the water and electricity load demand at each historical moment, and determine the second scheduling scheme set after re-obtaining the water and electricity load demand, until the second scheduling scheme set meets the preset requirements.

[0123] Specifically, whether the first scheduling plan set meets the preset requirements can be determined by the staff. The preset requirements can be the corresponding requirements for the upstream and downstream water levels of the hydropower station, such as whether the upstream water level at the last historical moment within the preset historical time length reaches the normal water level.

[0124] Specifically, when the first scheduling scheme set does not meet the preset requirements, it means that if the current first scheduling scheme set is used for scheduling within the preset historical duration, then the scheduling process will have a significant impact on the operation of the hydropower station in the complementary energy basin. At this time, it is necessary to readjust the hydropower load demand, and re-determine the second scheduling scheme set after adjusting the hydropower load demand based on the above method, until the second scheduling scheme set meets the preset requirements, the generation operation of the scheduling scheme is terminated, and after the photovoltaic power station is connected, the second scheduling scheme set that meets the preset requirements is used for scheduling. Among them, the hydropower load demand can be adjusted by modifying the proportion of connected photovoltaic power stations.

[0125] Exemplarily, the process of re-obtaining the hydropower load demand at each historical moment may be: obtaining the photovoltaic output at each historical moment and the grid load demand at each historical moment; adjusting the photovoltaic output at each historical moment according to a preset multiple to obtain the photovoltaic output at each historical moment after adjustment; based on the grid load demand at each historical moment and the photovoltaic output at each historical moment after adjustment, determining the hydropower load demand at each historical moment after adjusting the photovoltaic output. For example, the photovoltaic output at each historical moment may be adjusted to 1.2 times, 1.5 times, or 0.8 times the original value, etc. The specific multiple adjustment is related to the result generated after scheduling according to the first scheduling scheme set.

[0126] The specific contents of the method for generating the water-solar complementary scheduling scheme provided by the present invention are described below through a specific embodiment.

[0127] Although the development of water-photovoltaic complementary power in my country started relatively late, it has developed rapidly in recent years under the impetus of national energy policies. At present, small-scale multi-energy complementary development projects have been put into operation in Yunnan, Qinghai and other regions. Taking the Longyangxia Water-Photovoltaic Complementary Power Station, the first large-scale water-photovoltaic complementary project in my country, as an example, the impact of the photovoltaic power station on the long-term scheduling of the Longyangxia Reservoir under the water-photovoltaic complementary scheduling is studied, and the fixed output scheduling model of the Longyangxia Hydropower Station is established based on the following assumptions:

[0128] 1) The monthly inflow after 1990, when Longyangxia was fully put into operation, is used as the inflow of the fixed output model, that is, the water inflow condition is consistent with the historical water inflow.

[0129] 2) The historical output of Longyangxia after 1990 when Longyangxia was fully put into operation is used as the grid load demand of the fixed output model.

[0130] 3) Based on the monthly output data of the photovoltaic power station (i.e., photovoltaic output), the output of the photovoltaic power station is subtracted from the historical output of Longyangxia (i.e., grid load demand) to obtain the output of the hydropower unit (i.e., hydropower load demand).

[0131] 4) On the premise that the output of Longyangxia hydropower unit and photovoltaic power station can jointly guarantee the grid load demand, Longyangxia power station is limited to 300MW output per month (that is, N in the constraint condition). b ) to ensure the stability of the power grid and water supply for downstream cascade power stations.

[0132] 5) Set the monthly average minimum discharge flow rate in the Longyangxia Power Station fixed output model to 250m 3 / s, the irrigation period basically meets 290m 3 / s.

[0133] 6) The maximum allowable discharge flow of the fixed output model under the hydro-solar complementary dispatch is the maximum flow of a single unit 1192m 3 / s.

[0134] 7) The fixed output model under water-solar complementary dispatching starts from July 1990, with the starting water level of 2557.97m. The fixed output calculation ends when the reservoir water level reaches the normal water level of 2600m. The lower limit of the water level in the fixed output calculation process is the dead water level of 2530m.

[0135] Based on the method for generating the water-photovoltaic complementary scheduling scheme proposed in this invention, a model with the historical output of Longyangxia Hydropower Station as the boundary is constructed to provide the process before and after the access of five scales of photovoltaic capacity to Longyangxia. The comparison of the generating head of the hydropower station from 1990 to 1996 is shown in Figure 2. Figure 4 The results show that under the condition of constant fixed load demand, the power generation flow of Longyangxia Hydropower Station decreases, the water storage capacity of Longyangxia Reservoir increases, and the water level of the reservoir gradually rises, thereby maintaining high water level operation and significantly improving the operating head of the units of Longyangxia Hydropower Station, so that it can operate in a higher efficiency zone, further reducing the water consumption rate of power generation and achieving better energy storage.

[0136] In this embodiment, a device for generating a water-photovoltaic complementary scheduling scheme is also provided, which is used to implement the above embodiments and preferred implementations, and will not be repeated here. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0137] This embodiment provides a device for generating a water-solar complementary scheduling solution, such as Figure 5 As shown, including:

[0138] The acquisition module 501 is used to obtain the hydropower load demand and operation data of each historical moment within a preset historical time period. The hydropower load demand at each historical moment is determined based on the grid load demand and photovoltaic output at the historical moment.

[0139] The construction module 502 is used to construct a fixed output dispatch model based on pre-configured constraints and with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand.

[0140] The output module 503 is used to input the hydropower load demand and operation data at each historical moment into the fixed output scheduling model, and output the target scheduling data corresponding to each historical moment. The target scheduling data meets the constraint conditions and the difference between the actual output of the unit determined based on the target scheduling data and the hydropower load demand is minimized.

[0141] The generating module 504 is used to generate a target scheduling scheme corresponding to each historical moment according to the target scheduling data corresponding to each historical moment.

[0142] In some optional implementations, the fixed output scheduling model in the construction module 502 is implemented in the following manner:

[0143] The objective function is:

[0144] ΔN=min|N d -N s |

[0145]

[0146] Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N s is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station, Q t is the power generation flow at time t, and are the upstream and downstream water levels of the hydropower station during period t respectively.

[0147] The constraints are:

[0148]

[0149] Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b It is the guaranteed output set for the model under the premise of photovoltaic access.

[0150] In some optional implementations, the output module 503 includes:

[0151] The constraint submodule is used to input the hydropower load demand and operation data of each historical moment into the fixed output scheduling model, and obtain at least one set of scheduling data corresponding to each historical moment based on the constraint conditions and the operation data; the screening submodule is used to screen the scheduling data that meets the model target from at least one set of scheduling data corresponding to the preset historical moment, and determine the scheduling data that meets the model target as the target scheduling data of the preset historical moment, and the preset historical moment is any one of multiple historical moments.

[0152] In some optional implementations, the screening submodule includes:

[0153] The first calculation unit is used to calculate the actual output of the unit corresponding to each set of scheduling data in at least one set of scheduling data; the second calculation unit is used to calculate the difference between the actual output of each unit and the hydropower load demand at a preset historical moment, and obtain at least one difference; the determination unit is used to determine the minimum value from at least one difference, and determine the scheduling data corresponding to the minimum value as the target scheduling data at the preset historical moment.

[0154] In some optional implementations, before the output module 503, the device further includes:

[0155] A setting module is used to set the water level at the last historical moment within a preset historical time period as the normal water level of the reservoir.

[0156] In some optional implementations, after the generating module 504, the apparatus further includes:

[0157] A forming module is used to form a first scheduling plan set from the target scheduling plans corresponding to each historical moment; a determining module is used to re-acquire the water and electricity load demand at each historical moment when the first scheduling plan set does not meet the preset requirements, and determine a second scheduling plan set after re-acquiring the water and electricity load demand, until the second scheduling plan set meets the preset requirements.

[0158] In some optional implementations, the determination module includes an acquisition submodule for reacquiring the water and electricity load demand at each historical moment, and the acquisition submodule includes:

[0159] The acquisition unit is used to obtain the photovoltaic output at each historical moment and the grid load demand at each historical moment; the adjustment unit is used to adjust the photovoltaic output at each historical moment according to a preset multiple to obtain the adjusted photovoltaic output at each historical moment; the determination unit is used to determine the hydropower load demand at each historical moment after adjusting the photovoltaic output based on the grid load demand at each historical moment and the adjusted photovoltaic output at each historical moment.

[0160] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0161] In this embodiment, the device for generating the water-photovoltaic complementary scheduling scheme is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0162] The embodiment of the present invention also provides a computer device having the above Figure 5 The device for generating the water-photovoltaic complementary scheduling scheme is shown.

[0163] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0164] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0165] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0166] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0167] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0168] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0169] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0170] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0171] The above are only specific embodiments of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for generating a water-solar complementary scheduling scheme, characterized in that: include: Obtaining the hydropower load demand at each historical moment within a preset historical time period and the operation data at each historical moment, wherein the hydropower load demand at each historical moment is determined based on the grid load demand at the historical moment and the photovoltaic output at the historical moment; Based on the pre-configured constraints, a fixed output dispatch model is constructed with the goal of minimizing the difference between the actual output of the unit and the hydropower load demand; Input the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatch model, and output the target dispatch data corresponding to each of the historical moments, wherein the target dispatch data meets the constraint condition and the difference between the actual output of the unit determined based on the target dispatch data and the hydropower load demand is the smallest; Generating a target scheduling plan corresponding to each of the historical moments according to the target scheduling data corresponding to each of the historical moments; The fixed output dispatching model is implemented in the following way: The objective function is: ΔN=min|N d -N s | Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N s is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station, Q t is the power generation flow at time t, and are the upstream and downstream water levels of the hydropower station during period t respectively; The constraints are: Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b The guaranteed output set for the model under the premise of photovoltaic access; The step of inputting the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatch model and outputting the target dispatch data corresponding to each of the historical moments includes: Inputting the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatching model, and obtaining at least one set of dispatching data corresponding to each of the historical moments based on the constraint conditions and the operation data; Filtering scheduling data that meets the model target from at least one set of scheduling data corresponding to a preset historical moment, and determining the scheduling data that meets the model target as the target scheduling data of the preset historical moment, wherein the preset historical moment is any one of the multiple historical moments; The constraint condition includes two parts, the first part is used to generate multiple groups of scheduling data according to the input data, and the second part is used to constrain each group of scheduling data in the multiple groups of scheduling data to output at least one group of scheduling data that meets the constraint condition; The first part of the constraint is: The second part of the constraint is: Inputting the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatching model, and obtaining at least one set of dispatching data corresponding to each of the historical moments based on the constraint conditions and the operation data includes: Get the reservoir inflow at time t Reservoir capacity V at time t-1 t-1 , the power generation flow interval The lower limit of the interval Q s As the first value of the power generation flow Q t ; The reservoir inflow at time t Reservoir capacity V at time t-1 t-1 And the power generation flow Q determined this time t As the first set of input data at time t, it is input into the first part of the constraint condition to obtain the first set of output data corresponding to the first set of input data. The first set of output data includes the first set of dispatching data, the first set of constraint data and the first set of storage capacity data. The first set of dispatching data includes the power generation flow Q t , water level upstream of the hydropower station Water level downstream of hydropower station Among them, according to and Determine the hydraulic head. The first set of constraint data includes the maximum flow capacity of the reservoir at time t. Maximum discharge capacity of the power station at time t The first set of storage capacity data includes the reservoir capacity V at time t t , V t Used to calculate the reservoir capacity V at time t+1 t+1 ; Determine the power generation flow Q in the first set of dispatching data t Is it within the power generation flow constraint range? The water level upstream of the hydropower station is Is it within the upstream water level constraint range? If the power generation flow Q t and the water level upstream of the hydropower station If at least one of them is not within the corresponding constraint range, the group of scheduling data will be discarded; if the power generation flow Q t and the water level upstream of the hydropower station If both are within their respective constraints, the power generation flow Q t , water level upstream of the hydropower station and the water level downstream of the hydropower station Input to The actual output N of the unit when dispatching based on the first dispatching data is obtained d , and determine the actual output N of the unit d Is it within the output constraint range N? d ≥N b If it is within the output constraint range, the first group of scheduling data is determined as the target data; if it is not within the output constraint range, the first group of scheduling data is discarded; Re-take values ​​within the power generation flow range, keep the other data unchanged, form different input data, and calculate the scheduling data corresponding to each set of input data respectively.

2. The method according to claim 1, characterized in that The step of selecting the scheduling data that meets the model target from at least one set of scheduling data corresponding to the preset historical moment, and determining the scheduling data that meets the model target as the target scheduling data at the preset historical moment, includes: Calculating the actual output of the unit corresponding to each set of the scheduling data in the at least one set of scheduling data; Calculate the difference between the actual output of each of the units and the hydropower load demand at the preset historical moment to obtain at least one difference; A minimum value is determined from the at least one difference value, and the scheduling data corresponding to the minimum value is determined as the target scheduling data at the preset historical moment.

3. The method according to claim 1, characterized in that Before inputting the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatching model, the method further includes: The water level at the last historical moment within the preset historical time period is set as the normal water level of the reservoir.

4. The method according to claim 1, characterized in that After generating the target scheduling scheme corresponding to each of the historical moments according to the target scheduling data corresponding to each of the historical moments, the method further includes: Forming a first scheduling solution set by the target scheduling solutions corresponding to each of the historical moments; When the first scheduling scheme set does not meet the preset requirements, the water and electricity load demand at each of the historical moments is re-obtained, and a second scheduling scheme set is determined after the water and electricity load demand is re-obtained, until the second scheduling scheme set meets the preset requirements.

5. The method according to claim 4, characterized in that The re-obtaining of the water and electricity load demand at each of the historical moments includes: Obtaining the photovoltaic output at each historical moment and the grid load demand at each historical moment; Adjusting the photoelectric output at each historical moment according to a preset multiple to obtain the adjusted photoelectric output at each historical moment; Based on the grid load demand at each historical moment and the photovoltaic output at each historical moment after adjustment, the hydropower load demand at each historical moment after adjusting the photovoltaic output is determined.

6. A device for generating a water-solar complementary scheduling scheme, characterized in that: include: An acquisition module, used to acquire the hydropower load demand at each historical moment within a preset historical time period and the operation data at each historical moment, wherein the hydropower load demand at each historical moment is determined based on the grid load demand at the historical moment and the photovoltaic output at the historical moment; A construction module, for constructing a fixed output dispatching model based on preconfigured constraints and taking the minimum difference between the actual output of the unit and the hydropower load demand as the goal; an output module, configured to input the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatch model, and output target dispatch data corresponding to each of the historical moments, wherein the target dispatch data meets the constraint condition and the difference between the actual output of the unit determined based on the target dispatch data and the hydropower load demand is the smallest; A generating module, for generating a target scheduling scheme corresponding to each of the historical moments according to the target scheduling data corresponding to each of the historical moments; The fixed output dispatching model in the construction module is implemented in the following way: The objective function is: ΔN=min|N d -N s | Among them, ΔN is the difference between the actual output of the unit and the hydropower load demand, N d is the actual output of the unit at time t, N s is the hydropower load demand at time t, η is the power generation efficiency of the hydropower station, Q t is the power generation flow at time t, and are the upstream and downstream water levels of the hydropower station during period t respectively; The constraints are: Among them, V t is the storage capacity at time t, V t-1 is the storage capacity at time t-1, is the inflow flow at time t, Q t is the power generation flow at time t, is the upstream water level of the hydropower station during period t, f1() is the relationship between the upstream water level of the hydropower station and the reservoir capacity, is the water level downstream of the hydropower station during period t, f2() is the relationship between the power generation flow and the water level downstream of the hydropower station, is the maximum flow capacity of the reservoir, f3() is the relationship between the upstream water level of the hydropower station and the maximum flow capacity of the reservoir, is the maximum discharge capacity of the power station, f4() is the relationship between the upstream water level of the hydropower station and the discharge capacity of the power station, H min is the minimum operating water level of the reservoir, H max is the highest operating water level of the reservoir, Q s is the minimum required water flow downstream of the reservoir, Q m N is the maximum flow rate allowed by the unit. d is the actual output of the unit at time t, N b The guaranteed output set for the model under the premise of photovoltaic access; Output modules, including: A constraint submodule, used for inputting the hydropower load demand and the operation data at each of the historical moments into the fixed output dispatch model, and obtaining at least one set of dispatch data corresponding to each of the historical moments based on the constraint conditions and the operation data; A screening submodule, configured to screen the scheduling data that meets the model target from at least one set of scheduling data corresponding to a preset historical moment, and determine the scheduling data that meets the model target as the target scheduling data of the preset historical moment, wherein the preset historical moment is any one of the plurality of historical moments; The constraint condition includes two parts, the first part is used to generate multiple groups of scheduling data according to the input data, and the second part is used to constrain each group of scheduling data in the multiple groups of scheduling data to output at least one group of scheduling data that meets the constraint condition; The first part of the constraint is: The second part of the constraint is: The constraint submodule is specifically used to obtain the reservoir inflow at time t. Reservoir capacity V at time t-1 t-1 , the power generation flow interval The lower limit of the interval Q s As the first value of the power generation flow Q t ; The reservoir inflow at time t Reservoir capacity V at time t-1 t-1 And the power generation flow Q determined this time t As the first set of input data at time t, it is input into the first part of the constraint condition to obtain the first set of output data corresponding to the first set of input data. The first set of output data includes the first set of dispatching data, the first set of constraint data and the first set of storage capacity data. The first set of dispatching data includes the power generation flow Q t , water level upstream of the hydropower station Water level downstream of hydropower station Among them, according to and Determine the hydraulic head. The first set of constraint data includes the maximum flow capacity of the reservoir at time t. Maximum discharge capacity of the power station at time t The first set of storage capacity data includes the reservoir capacity V at time t t , V t Used to calculate the reservoir capacity V at time t+1 t+1 ; Determine the power generation flow Q in the first set of dispatching data t Is it within the power generation flow constraint range? The water level upstream of the hydropower station is Is it within the upstream water level constraint range? If the power generation flow Q t and the water level upstream of the hydropower station If at least one of them is not within the corresponding constraint range, the group of scheduling data will be discarded; if the power generation flow Q t and the water level upstream of the hydropower station If both are within their respective constraints, the power generation flow Q t , water level upstream of the hydropower station and the water level downstream of the hydropower station Input to The actual output N of the unit when dispatching based on the first dispatching data is obtained d , and determine the actual output N of the unit d Is it within the output constraint range N? d ≥N b If it is within the output constraint range, the first group of scheduling data is determined as the target data; if it is not within the output constraint range, the first group of scheduling data is discarded; Re-take values ​​within the power generation flow range, keep the other data unchanged, form different input data, and calculate the scheduling data corresponding to each set of input data respectively.

7. The device according to claim 6, characterized in that The screening submodule comprises: A first calculation unit, used for calculating the actual output of the unit corresponding to each group of the at least one group of scheduling data; A second calculation unit is used to calculate the difference between the actual output of each of the units and the hydropower load demand at the preset historical moment to obtain at least one difference; A determination unit is used to determine a minimum value from the at least one difference value, and determine the scheduling data corresponding to the minimum value as the target scheduling data of the preset historical moment.

8. The device according to claim 6, characterized in that Before the output module, the device further includes: A setting module is used to set the water level at the last historical moment within the preset historical time period as the normal water level of the reservoir.

9. The device according to claim 6, characterized in that After the generating module, the device further comprises: A forming module, configured to form a first scheduling solution set from the target scheduling solutions corresponding to each of the historical moments; A determination module is used to re-obtain the water and electricity load demand at each of the historical moments when the first scheduling plan set does not meet the preset requirements, and determine a second scheduling plan set after re-obtaining the water and electricity load demand until the second scheduling plan set meets the preset requirements.

10. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for generating a water-photovoltaic complementary scheduling scheme according to any one of claims 1 to 5 by executing the computer instructions.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for generating a water-photovoltaic complementary scheduling scheme according to any one of claims 1 to 5.

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