Dispatching method, device, equipment and storage medium for hybrid pumped storage power station

Abstract

The present invention discloses a scheduling method, device, equipment and storage medium for a hybrid pumped-storage power station, and belongs to the technical field of hydropower scheduling. The method includes: determining the operating constraints of the hybrid pumped-storage power station and the shipping demand constraints of the downstream section of the river where the hybrid pumped-storage power station is located; establishing an objective function with the minimum peak-shaving target value and the minimum shipping target value as the goal; based on the operating constraints and the shipping demand constraints, as well as the correction strategy of the operating parameters of the hybrid pumped-storage power station, solving the objective function to obtain the target operating parameters of the hybrid pumped-storage power station; scheduling the operation of the hybrid pumped-storage power station according to the target operating parameters. Therefore, the embodiments of the present invention can solve the problem in the prior art that the operation of the hybrid pumped-storage power station causes the downstream flow and the river water level to fluctuate frequently, thereby affecting the normal passage of ships.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydropower dispatching, and in particular relates to a dispatching method, device, equipment and storage medium of a hybrid pumped storage power station. Background Art

[0002] With the increase in the scale of new energy grid connection, the peak-to-valley difference of the net load of the power system has increased, showing a typical "duck-shaped" curve. The consumption of new energy and load peak regulation face great challenges, and the power system has an increasing demand for flexible adjustment capacity. Based on this, hybrid pumped storage power stations have emerged.

[0003] Among them, the hybrid pumped-storage power station is based on a conventional hydropower station. By expanding the reversible units, it has the functions of releasing water for power generation and pumping water for electricity, and assisting the power system to play multiple roles such as peak shaving and valley filling, frequency and phase regulation, and accident standby.

[0004] In addition, conventional hydropower is mostly built on the main streams of rivers, and some rivers have shipping needs. Although installing reversible units to transform into hybrid pumped storage operation can increase the flexibility of the power station, the frequent adjustment of pumped storage will cause frequent fluctuations in the discharge flow and river water level, thus affecting the normal passage of ships. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a scheduling method, device, equipment and storage medium for a hybrid pumped-storage power station, which can solve the problem in the prior art that the operation of the hybrid pumped-storage power station causes frequent fluctuations in the downstream flow and river water level, thereby affecting the normal passage of ships.

[0006] In a first aspect, an embodiment of the present invention provides a method for scheduling a hybrid pumped storage power station, the method comprising:

[0007] Determining operating constraints of the hybrid pumped-storage power station and navigation demand constraints of a downstream section of a river where the hybrid pumped-storage power station is located;

[0008] Establishing an objective function with the minimum peak load target value and the minimum navigation target value as objectives, wherein the peak load target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped storage power station, and the navigation target value represents the water level fluctuation value of the downstream river section;

[0009] Based on the operation constraint condition and the shipping demand constraint condition, and the correction strategy of the operation parameters of the hybrid pumped-storage power station, the objective function is solved to obtain the target operation parameters of the hybrid pumped-storage power station;

[0010] The operation of the hybrid pumped-storage power station is scheduled according to the target operating parameters.

[0011] In a second aspect, an embodiment of the present invention provides a scheduling device for a hybrid pumped storage power station, the scheduling device for the hybrid pumped storage power station comprising:

[0012] A determination module, used to determine the operation constraints of the hybrid pumped-storage power station and the navigation demand constraints of the downstream river section where the hybrid pumped-storage power station is located;

[0013] A function establishment module, used to establish an objective function with the minimum peak load target value and the minimum navigation target value as objectives, wherein the peak load target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped storage power station, and the navigation target value represents the water level fluctuation value of the downstream river section;

[0014] A solution module, configured to solve the objective function based on the operation constraint condition and the shipping demand constraint condition, and a correction strategy for the operation parameters of the hybrid pumped-storage power station, to obtain target operation parameters of the hybrid pumped-storage power station;

[0015] A scheduling module is used to schedule the operation of the hybrid pumped-storage power station according to the target operating parameters.

[0016] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0017] In a fourth aspect, an embodiment of the present invention provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0018] In a fifth aspect, an embodiment of the present invention provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0019] In an embodiment of the present invention, it is possible to determine the operating constraints of a hybrid pumped-storage power station and the shipping demand constraints of a downstream section of the river where the hybrid pumped-storage power station is located, and establish an objective function with the minimum peak-shaving target value and the minimum shipping target value as objectives, thereby solving the objective function based on the operating constraints and the shipping demand constraints and the correction strategy of the operating parameters of the hybrid pumped-storage power station to obtain the target operating parameters of the hybrid pumped-storage power station, and then scheduling the operation of the hybrid pumped-storage power station according to the target operating parameters, wherein the peak-shaving target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped-storage power station, and the shipping target value represents the water level fluctuation value of the downstream section.

[0020] It can be seen that in the embodiment of the present invention, the constraints of shipping, hybrid pumped-storage power station operation, etc. are comprehensively considered, a multi-objective function oriented to peak-shaving targets and shipping targets is established, and the correction strategy of the operating parameters of the hybrid pumped-storage power station is combined to optimize the operation process of the power station units, which helps the hybrid pumped-storage to smooth the water level fluctuations and flow fluctuations in the downstream river on the basis of playing a flexible regulation role and assisting the peak-shaving of the power grid, thereby improving the river navigation conditions and ensuring the safety of ship navigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 Schematic diagram of the topological structure of a hybrid pumped storage power station in an embodiment of the present invention;

[0022] Figure 2 It is a flow chart of a scheduling method of a hybrid pumped storage power station provided by an embodiment of the present invention;

[0023] Figure 3 is a schematic diagram of a process of solving an objective function using a non-dominated sorting genetic algorithm based on an elite strategy in an embodiment of the present invention;

[0024] Figure 4 It is a structural block diagram of a dispatching device of a hybrid pumped storage power station provided by an embodiment of the present invention;

[0025] Figure 5 It is a structural block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged when appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more. In addition, in the present invention, "and / or" means at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0028] The following describes in detail the scheduling method of the hybrid pumped-storage power station provided by the embodiment of the present invention through specific embodiments and application scenarios in conjunction with the accompanying drawings.

[0029] The embodiment of the present invention provides a scheduling method for a hybrid pumped storage power station, which is applied to a hybrid pumped storage power station. A hybrid pumped storage power station is generally located in the main stream of a river, and has an upper reservoir and a lower reservoir. The upper reservoir has a higher altitude than the lower reservoir. Its topological structure is as follows: Figure 1 As shown. The upper reservoir 101 is located in the upper river channel 103, and the lower reservoir 102 is located in the lower river channel 104; the upper reservoir 101 usually has a large regulating storage capacity and strong regulating ability, and is deployed with conventional generator sets (which can be called the first generator set 105) and reversible generator sets 106. By adjusting the power generation and pumping power of the generator sets, the peak regulation pressure of the power grid can be alleviated. The lower reservoir 102 is located in the downstream area of ​​the upper reservoir 101, and is deployed with conventional generator sets (which can be called the second generator set 107). On the one hand, it provides a pumping water source for the upper reservoir 101, and on the other hand, by adjusting its own output and discharge flow, it counter-regulates the uneven discharge flow of the upper reservoir 101 to meet the downstream river flow, water level fluctuation and other related requirements.

[0030] like Figure 2 As shown, the scheduling method of the hybrid pumped storage power station may include the following steps 201 to 204:

[0031] Step 201: Determine the operating constraints of the hybrid pumped-storage power station and the navigation demand constraints of the downstream river section where the hybrid pumped-storage power station is located.

[0032] Among them, the operating constraints of the hybrid pumped-storage power station are various linear and nonlinear constraints that need to be met during the operation of the hybrid pumped-storage power station. Through the operating constraints, the first generator set, the second generator set and the reversible unit of the hybrid pumped-storage power station can be constrained to operate normally.

[0033] In addition, the hybrid pumped storage power station frequently participates in the peak load regulation of the power grid during the day, and the discharge flow fluctuates greatly. The non-constant flow caused by it has a great impact on the hydraulic elements such as flow, water level, and flow velocity in the downstream river section of the reservoir, which is not conducive to the safe navigation of ships. Therefore, it is necessary to analyze the control requirements of shipping on hydraulic elements such as river runoff, flow velocity, and water level, and construct a comprehensive constraint on shipping demand including discharge flow and downstream water level fluctuation. It can be seen that the shipping demand constraint condition of the downstream river section of the river where the hybrid pumped storage power station is located is the constraint of shipping on the discharge flow and downstream water level, so that ships in the downstream river section can pass normally.

[0034] Step 202: Establish an objective function with the goal of minimizing the peak load target value and the shipping target value.

[0035] The peak-shaving target value indicates the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped-storage power station; that is, the peak-shaving target means that the hybrid pumped-storage power station adjusts its own output to adapt to load changes, shaving peaks and filling valleys, so that the maximum value of the residual load of the power grid is minimized;

[0036] The navigation target value represents the water level fluctuation value of the downstream river section; that is, the navigation target means that the hybrid pumped storage power station adjusts the discharge flow to minimize the downstream water level fluctuation while meeting the navigation requirements.

[0037] Step 203: Based on the operation constraints and the shipping demand constraints, and the correction strategy of the operation parameters of the hybrid pumped-storage power station, the objective function is solved to obtain the target operation parameters of the hybrid pumped-storage power station.

[0038] As mentioned above, the operating constraints can be used to constrain the first generator set, the second generator set and the reversible unit of the hybrid pumped-storage power station to work normally; the shipping demand constraints can be used to constrain the downstream flow and the downstream water level so that ships in the downstream river section can pass normally; therefore, based on the operating constraints and the shipping demand constraints, the objective function with the minimum peak-shaving target value and the minimum shipping target value as the goals is solved, and the target operating parameters that can enable the hybrid pumped-storage power station to work normally with the minimum peak-shaving target value, and ensure the normal passage of ships in the downstream river section can be obtained.

[0039] Therefore, when the hybrid energy-storage power station is dispatched based on the target operating parameters, the hybrid pumped storage can play a flexible regulatory role and assist the peak load regulation of the power grid, while smoothing the water level and flow fluctuations in the downstream river, thereby improving river navigation conditions and ensuring the safety of ship navigation.

[0040] In addition, in the process of solving the objective function, a correction strategy for the operating parameters of the hybrid pumped-storage power station is introduced. In the process of solving the objective function, the operating parameters can be corrected, thereby eliminating the destruction of constraint conditions in the solution process and improving the quality of the optimization solution.

[0041] Step 204: Dispatching the operation of the hybrid pumped-storage power station according to the target operation parameters.

[0042] It can be seen from the above steps 201 to 204 that in an embodiment of the present invention, the operating constraints of the hybrid pumped-storage power station and the shipping demand constraints of the downstream section of the river where the hybrid pumped-storage power station is located can be determined, and an objective function with the minimum peak-shaving target value and the minimum shipping target value as the objectives is established, so that based on the operating constraints and the shipping demand constraints and the correction strategy of the operating parameters of the hybrid pumped-storage power station, the objective function is solved to obtain the target operating parameters of the hybrid pumped-storage power station, and then according to the target operating parameters, the operation of the hybrid pumped-storage power station is scheduled, wherein the peak-shaving target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped-storage power station, and the shipping target value represents the water level fluctuation value of the downstream section.

[0043] It can be seen that in the embodiment of the present invention, the constraints of shipping, hybrid pumped-storage power station operation, etc. are comprehensively considered, a multi-objective function oriented to peak-shaving targets and shipping targets is established, and the correction strategy of the operating parameters of the hybrid pumped-storage power station is combined to optimize the operation process of the power station units, which helps the hybrid pumped-storage to smooth the water level fluctuations and flow fluctuations in the downstream river on the basis of playing a flexible regulation role and assisting the peak-shaving of the power grid, thereby improving the river navigation conditions and ensuring the safety of ship navigation.

[0044] In one embodiment of the present invention, the operation constraint condition includes at least one of the following A-1 to A-8:

[0045] Item A-1: ​​The first constraint condition is used to indicate that the storage capacity of the upper reservoir satisfies the water flow change of the upper reservoir, and the storage capacity of the lower reservoir satisfies the water flow change of the lower reservoir;

[0046] From this, it can be seen that the first constraint condition is to constrain the relationship between the storage capacity and water flow of the upper reservoir and the lower reservoir, that is, it can be understood as: the operation of the first generator set, the reversible unit and the second generator set requires that the storage capacity of the upper reservoir meets the water flow changes of the upper reservoir, and the storage capacity of the lower reservoir meets the water flow changes of the lower reservoir.

[0047] Optionally, the first constraint condition is:

[0048] (1)

[0049] in, is the time period number, is the time step length, Represents a constant;

[0050] For the upper reservoir in the period The storage capacity, For the lower reservoir in the period Storage capacity;

[0051] , , The upper reservoir is respectively Inflow, outflow and pumping flow;

[0052] , are respectively the lower reservoir in the period Inbound and outbound traffic.

[0053] For example, The value of can be one hour. In this case, The value is 3600.

[0054] From formula (1), we can see that the upper reservoir is The storage capacity of the upper reservoir is equal to: The storage capacity of the period is related to the upper reservoir The total water flow (i.e. ) and the lower reservoir is The storage capacity of the period and the lower reservoir The total water flow (i.e. ) and.

[0055] It should be noted that, in the embodiment of the present invention, in the time period A parameter of a period refers to the parameter in The average value of .

[0056] Item A-2: The second constraint condition is used to indicate that the storage capacity of the upper reservoir and the storage capacity of the lower reservoir are respectively within their corresponding numerical ranges;

[0057] From this, it can be seen that the second constraint condition is to constrain the storage capacity range of the upper reservoir and the lower reservoir, which can be understood as: the operation of the first generator set, the reversible unit and the second generator set requires that the storage capacity of the upper reservoir satisfies that the storage capacity of the upper reservoir and the lower reservoir are both within their corresponding numerical ranges.

[0058] Optionally, the second constraint condition is:

[0059] (2)

[0060] in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity;

[0061] For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity;

[0062] is the number of scheduling periods;

[0063] , are the storage capacity of the upper reservoir at the beginning and end of the dispatching period respectively;

[0064] It is the storage capacity of the lower reservoir at the beginning of the scheduling period.

[0065] From formula (2), it can be seen that the second constraint condition indicates that the storage capacity of the upper reservoir is within the range corresponding to the upper and lower limits of the storage capacity of the upper reservoir, and the storage capacity of the lower reservoir is within the range corresponding to the upper and lower limits of the storage capacity of the lower reservoir.

[0066] It should be noted that the upper reservoir capacity limit can be the same or different at different time periods;

[0067] The lower limit of the storage capacity of the upper reservoir at different time periods can be the same or different;

[0068] The upper limit of the storage capacity of the lower reservoir at different time periods can be the same or different;

[0069] The lower storage capacity limit of the lower reservoir at different time periods can be the same or different;

[0070] The upper limit of the storage capacity of the upper reservoir and the upper limit of the storage capacity of the lower reservoir in the same period of time may be the same or different; the lower limit of the storage capacity of the upper reservoir and the lower limit of the storage capacity of the lower reservoir in the same period of time may be the same or different.

[0071] Item A-3: a third constraint condition, used to indicate that the power generation power of the first generator set, the power generation power of the reversible unit, the pumping power of the reversible unit, and the power generation power of the second generator set are within their respective corresponding value ranges;

[0072] It can be seen that the third constraint condition is to constrain the power generation power of the first generator set, the power generation power and pumping power of the reversible unit, and the power generation power of the second generator set. That is, it can be understood that the operation of the first generator set, the reversible unit and the second generator set, the power generation power or pumping power needs to be maintained within their corresponding numerical ranges.

[0073] Optionally, the third constraint condition is:

[0074] (3)

[0075] in, , , are respectively the number of the first generator set, the number of the reversible unit, and the number of the second generator set;

[0076] , , The first generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation;

[0077] , , The second generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation;

[0078] , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status; for example When the value is 1, it means the first generator set It is in the power-on state (i.e. in the power generation state). The value is 0, indicating that the first generator set is in the off state (i.e. not in power generation state); e.g. When the value is 1, it means the second generator set It is in the power-on state (i.e. in the power generation state). The value is 0, indicating that the second generator set It is in the closed state (i.e. not in power generation state);

[0079] , Reversible units In the period Power generation and pumping power;

[0080] , , , Reversible units In the period The lower limit of power generation, the upper limit of power generation, the lower limit of pumping power, and the upper limit of pumping power;

[0081] , are binary variables, representing reversible units In the period The power generation status and pumping status of When the value is 1, it indicates a reversible unit In power generation state, The value of is 0, indicating that the reversible unit is not in the power generation state; for example When the value is 1, it indicates a reversible unit In pumping state, The value is 0, indicating a reversible unit Not in pumping state.

[0082] As can be seen from formula (3), the third constraint condition is used to indicate that: the power generation of the first generator set needs to be within the range corresponding to the upper and lower limits of the power generation of the first generator set, the power generation of the reversible unit needs to be within the range corresponding to the upper and lower limits of the power generation of the reversible unit, the pumping power of the reversible unit needs to be within the range corresponding to the upper and lower limits of the pumping power of the reversible unit, and the power generation of the second generator set needs to be within the range corresponding to the upper and lower limits of the power generation of the second generator set.

[0083] It should be noted that:

[0084] The upper limits of power generation of the same first generator set at different time periods may be the same or different;

[0085] The lower limits of power generation of the same first generator set in different time periods may be the same or different;

[0086] The upper limit of power generation of the same reversible unit in different time periods can be the same or different;

[0087] The lower limit of power generation of the same reversible unit in different time periods can be the same or different;

[0088] The upper limit of the pumping power of the same reversible unit in different periods can be the same or different;

[0089] The lower limit of pumping power of the same reversible unit in different periods can be the same or different;

[0090] The upper limits of power generation of the same second generator set at different time periods may be the same or different;

[0091] The lower limits of power generation of the same second generator set in different time periods may be the same or different;

[0092] The upper limits of power generation of the first generator set, the second generator set, and the reversible generator set in the same period may be the same or different;

[0093] The lower limits of power generation of the first generator set, the second generator set, and the reversible generator set in the same period may be the same or different;

[0094] Exemplarily, the lower limits of power generation of the first generator set, the second generator set, and the third generator set may all be 0.

[0095] In addition, the above-mentioned power generation can also be referred to as "output".

[0096] Item A-4: a fourth constraint condition, used to indicate that the power generation flow of the first generator set, the power generation flow of the reversible unit, the pumping flow of the reversible unit, and the power generation flow of the second generator set are within their respective corresponding value ranges;

[0097] From this, it can be seen that the fourth constraint condition is to constrain the power generation flow of the first generator set, the power generation flow and pumping flow of the reversible unit, and the power generation flow of the second generator set. That is, it can be understood that during the operation of the first generator set, the reversible unit and the second generator set, the power generation flow or pumping flow needs to be maintained within their corresponding numerical ranges.

[0098] Optionally, the fourth constraint condition is:

[0099] (4)

[0100] in, , , The first generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow;

[0101] , , The second generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow;

[0102] , Reversible units In the period Power generation flow and pumping flow;

[0103] , , , Reversible units In the period The lower limit of power generation flow, the upper limit of power generation flow, the lower limit of pumping flow, and the upper limit of pumping flow;

[0104] , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status;

[0105] , are binary variables, representing reversible units In the period Power generation status and pumping status.

[0106] It can be seen from formula (4) that the fourth constraint condition is used to indicate that: the power generation flow of the first generator set needs to be within the range corresponding to the upper limit and lower limit of the power generation flow of the first generator set, the power generation flow of the reversible unit needs to be within the range corresponding to the upper limit and lower limit of the power generation flow of the reversible unit, the pumping flow of the reversible unit needs to be within the range corresponding to the upper limit and lower limit of the pumping flow of the reversible unit, and the power generation flow of the second generator set needs to be within the range corresponding to the upper limit and lower limit of the power generation flow of the second generator set.

[0107] It should be noted that:

[0108] The upper limits of power generation flow of the same first generator set in different time periods may be the same or different;

[0109] The lower limits of power generation flow of the same first generator set in different time periods may be the same or different;

[0110] The upper limit of power generation flow of the same reversible unit in different time periods can be the same or different;

[0111] The lower limit of power generation flow of the same reversible unit in different time periods can be the same or different;

[0112] The upper limit of the pumping flow rate of the same reversible unit in different periods can be the same or different;

[0113] The lower limit of the pumping flow rate of the same reversible unit in different periods can be the same or different;

[0114] The upper limits of power generation flow of the same second generator set in different time periods may be the same or different;

[0115] The lower limits of power generation flow of the same second generator set in different time periods may be the same or different;

[0116] The upper limits of power generation flow of the first generator set, the second generator set, and the reversible generator set in the same period may be the same or different;

[0117] The lower limits of power generation flow of the first generator set, the second generator set and the reversible generator set in the same time period may be the same or different.

[0118] Exemplarily, the lower limits of power generation flow rates of the first generator set, the second generator set, and the third generator set may all be 0.

[0119] Item A-5: The fifth constraint condition, used to indicate that the change in water flow of the upper reservoir matches the change in water flow of the lower reservoir.

[0120] It can be seen that the fifth constraint condition is used to indicate that the operation of the first generator set, the reversible generator set and the second generator set needs to make the change in the water flow of the upper reservoir match the change in the water flow of the lower reservoir.

[0121] Optionally, the fifth constraint condition is:

[0122] (5)

[0123] in, , , , The upper reservoir is respectively outflow, flow loss, pumping flow, and power generation flow;

[0124] , , , , are respectively the lower reservoir in the period Inflow, outflow, flow loss, interval flow, and power generation flow;

[0125] , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units;

[0126] Reversible unit In time period The power generation flow;

[0127] For the first generator In time period The power generation flow;

[0128] Reversible unit In time period Pumping flow rate;

[0129] For the second generator set In time period of power generation flow.

[0130] It can be seen from formula (5) that the operation of the first generator set, the second generator set and the reversible unit requires that the outflow of the upper reservoir, the pumping flow of the upper reservoir and the inflow of the lower reservoir satisfy a functional relationship with the power generation flow of the first generator set, the power generation flow and pumping flow of the reversible unit and the power generation flow of the second generator set, so that the water flow change of the upper reservoir matches the water flow change of the lower reservoir.

[0131] Item A-6: The sixth constraint condition, used to indicate that the change in the net water head of the upper reservoir matches the change in the water level of the upper reservoir, and the change in the net water head of the lower reservoir matches the change in the water level of the lower reservoir.

[0132] It can be seen from this that the operation of the first generator set, the second generator set and the reversible unit requires that the change in the net water head of the upper reservoir matches the change in the water level of the upper reservoir, and the change in the net water head of the lower reservoir matches the change in the water level of the lower reservoir.

[0133] Optionally, the sixth constraint condition is:

[0134] (6)

[0135] in, , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head;

[0136] , , The upper reservoir is respectively The water level above the dam, tailwater level, and head loss;

[0137] , , The functional relationship between the water level above the dam of the upper reservoir and the storage capacity, the functional relationship between the tail water level of the upper reservoir and the power generation flow, and the functional relationship between the head loss of the upper reservoir and the power generation flow are respectively;

[0138] For the upper reservoir in the period The power generation flow, For the lower reservoir in the period The power generation flow;

[0139] , , are respectively the lower reservoir in the period The water level above the dam, tailwater level, and head loss;

[0140] , , They are respectively the functional relationship between the water level above the dam of the lower reservoir and the storage capacity, the functional relationship between the tail water level of the lower reservoir and the power generation flow, and the functional relationship between the head loss of the lower reservoir and the power generation flow;

[0141] For the upper reservoir in the period The pumping head, is the head loss of the upper reservoir;

[0142] For the upper reservoir in the period Storage capacity;

[0143] For the lower reservoir in the period The storage capacity.

[0144] It can be seen from formula (6) that the operation of the first generator set, the second generator set and the reversible unit needs to make the net water head of the upper reservoir satisfy a functional relationship with the water level on the dam, the tail water level and the head loss of the upper reservoir, and the net water head of the lower reservoir satisfy a functional relationship with the water level on the dam, the tail water level and the head loss of the lower reservoir.

[0145] Item A-7: seventh constraint condition, used to indicate that the operations of the first generator set, the reversible generator set, and the second generator set satisfy their respective power characteristic curves;

[0146] Optionally, the seventh constraint condition is:

[0147] (7)

[0148] in: , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head;

[0149] For the first generator In the period The power generation flow, For the second generator set In the period The power generation flow, , Reversible units In the period Power generation flow and pumping flow;

[0150] For the first generator In time period The power generation capacity, For the second generator set In time period The power generation capacity;

[0151] , Reversible units In time period Power generation and pumping power;

[0152] , The first generator set , Second Generator Set The dynamic characteristic curve of

[0153] , Reversible units Dynamic characteristic curves when operating in power generation and pumping conditions;

[0154] For the upper reservoir in the period Pumping lift.

[0155] From formula (7), we can see that the operation of the first generator set needs to meet , the operation of the second generator set needs to meet , the reversible unit needs to meet the following conditions under power generation conditions: , which needs to be satisfied under pumping conditions .

[0156] It should be noted that the above-mentioned dynamic characteristic curves can be obtained through data collection and curve fitting. , can be , , Sampling is performed to obtain the curve by data fitting.

[0157] Item A-8: The eighth constraint condition, used to indicate that any reversible unit is in the power generation state, the pumping state or the shutdown state in a time period, and the first generator unit in the power generation state and the reversible unit in the pumping state cannot exist at the same time in the same time period.

[0158] Optionally, the eighth constraint condition is:

[0159] (8)

[0160] in, , are binary variables, respectively reversible units In the period The power generation status and pumping status; is a binary variable, for the first generator set In the period The power-on status.

[0161] From formula (8), we can see that Used to indicate: any reversible unit is in power generation state, pumping state or shutdown state, that is, any reversible unit can only be in one of the power generation state, pumping state or shutdown state in the same period;

[0162] Used to indicate that: all the units of the reversible units and the first generator unit cannot be in both the power generation state and the pumping state at the same time period.

[0163] It should be noted that =0, =0, reversible unit In the period In downtime.

[0164] It can be seen from the above items A-1 to A-8 that the embodiment of the present invention takes the operation process of the first generator set, the reversible unit, and the second generator set as decision variables, considers the operation of the unit from multiple angles such as the reservoir capacity, the power generation, pumping of the unit, and the water level of the reservoir, and constructs the constraints described in the above items A-1 to A-8 to ensure that the unit can operate normally.

[0165] In one embodiment of the present invention, the shipping demand constraint condition includes at least one of the following B-1 to B-3:

[0166] Item B-1: The ninth constraint condition, used to indicate that the discharge flow of the hybrid pumped storage power station is within a predetermined range;

[0167] Among them, during the navigation of ships, if the discharge flow of the reservoir is too small, it is easy to cause insufficient navigation depth or insufficient turning radius in the shallow river section, and the ship is at risk of running aground; if the discharge flow is too large, it is easy to increase the upstream resistance of the upstream ship, and the steering effect of the downstream ship is difficult to play, making it difficult for the ship to operate. Therefore, in order to meet the navigation requirements, the discharge flow of the reservoir under the hybrid pumped storage power station needs to be controlled within a reasonable range.

[0168] Optionally, the ninth constraint condition is:

[0169] (9)

[0170] in, , They are the lower limit and upper limit of the discharge flow rate to meet the shipping demand;

[0171] The lower reservoir of the hybrid pumped storage power station is outbound flow.

[0172] Item B-2: The tenth constraint condition, which indicates that the water level fluctuation of the downstream river section is within a predetermined range;

[0173] Among them, when the hybrid pumped storage power station is performing daily regulation, the fluctuation of the discharge flow causes the downstream water level to change frequently, which has a great impact on the docks near the dam section and requires real-time adjustment of the berths. Moreover, the greater the water level fluctuation, the greater the impact on the dock. Therefore, in order to meet shipping requirements, it is necessary to limit the daily and hourly fluctuations of the downstream water level within a reasonable range.

[0174] Optionally, the tenth constraint condition is:

[0175] (10)

[0176] in, , They are day number and hour number respectively;

[0177] The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour;

[0178] , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

[0179] Item B-3: The eleventh constraint condition, used to indicate that the rate of change of the water level of the downstream river section is within a predetermined range.

[0180] Among them, the downstream water level change rate is an indicator that reflects the rate of change of the downstream water level. If the change rate is too large, the downstream river section may produce adverse flow patterns such as backflow and vortex water, affecting the safety of navigation. Therefore, in order to meet the requirements of navigation, the downstream water level change rate needs to be limited to not exceed the upper limit of the change rate.

[0181] Optionally, the eleventh constraint condition is:

[0182] (11)

[0183] in, is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

[0184] In one embodiment of the present invention, the objective function includes:

[0185] (12)

[0186] (13)

[0187] in, is the peak load target value, is the shipping target value, For the period of grid load;

[0188] For the first generator In the period The first generator set is deployed in the upper reservoir of the hybrid pumped-storage power station;

[0189] For the second generator set In the period The second generator set is deployed in the lower reservoir of the hybrid pumped-storage power station, and the altitude of the upper reservoir is higher than the altitude of the lower reservoir;

[0190] , Reversible units In the period The power generation power and pumping power of the reversible unit are deployed in the upper reservoir;

[0191] , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units;

[0192] is the average value of the tailwater level of the downstream river section during the dispatch period;

[0193] For the lower reservoir in the period Tailwater level;

[0194] is the number of scheduling periods;

[0195] It can be further expressed as:

[0196] (14)

[0197] It can be seen that the embodiment of the present invention takes into account both the peak load regulation of the power grid and the river navigation demand, takes the hydropower units as the scheduling objects, considers the operation constraints and shipping demand constraints of the hybrid pumped storage power station, and constructs a short-term multi-objective optimization scheduling model.

[0198] It should be noted that according to According to the formula (6) mentioned above, the net water head and power generation flow can be calculated, and then according to the formula (7), the actual output of the computer group can be calculated, that is, , , , .

[0199] In one embodiment of the present invention, in the above step 203, the objective function is solved based on the operation constraint condition and the shipping demand constraint condition, and the correction strategy of the operation parameters of the hybrid pumped-storage power station to obtain the target operation parameters of the hybrid pumped-storage power station, including the following step D-1:

[0200] Step D-1: Based on the operating constraints and the shipping demand constraints, and the correction strategy for the operating parameters of the hybrid pumped-storage power station, a non-dominated sorting genetic algorithm based on an elite strategy is used to solve the objective function to obtain the target operating parameters of the hybrid pumped-storage power station.

[0201] Among them, the objective function used in the embodiment of the present invention belongs to a non-convex nonlinear multi-objective optimization function, and the convergence speed of the traditional mathematical programming algorithm is slow. In order to achieve efficient solution of the objective function, a non-dominated sorting genetic algorithm (NGSA-II) based on an elite strategy can be used, and combined with a correction strategy for the operating parameters of a hybrid pumped storage power station, the constraint destruction phenomenon in the calculation process is eliminated to obtain a satisfactory Pareto solution (also called a non-inferior solution or an effective solution).

[0202] In one embodiment of the present invention, in step D-1, the correction strategy based on the operation constraint condition and the shipping demand constraint condition, and the operation parameters of the hybrid pumped-storage power station adopts a non-dominated sorting genetic algorithm based on an elite strategy to solve the objective function to obtain the target operation parameters of the hybrid pumped-storage power station, including the following steps E-1 to E-7:

[0203] Step E-1: Encode the decision variables of the objective function to obtain the first generation parent population (also called the initial population);

[0204] Step E-2: generating a first-generation offspring population according to the first-generation parent population and the objective function;

[0205] Step E-3: correcting the individuals in the first generation offspring population according to the correction strategy of the operating parameters of the hybrid pumped storage power station;

[0206] Step E-4: Let x = 2, and determine whether x is less than the maximum number of iterations;

[0207] Step E-5: when x is less than the maximum number of iterations, merge the x-1th generation parent population and the corrected x-1th generation child population, and generate the xth generation parent population based on the objective function and the merged population; generate the xth generation child population according to the xth generation parent population and the objective function; and correct the individuals in the xth generation child population according to the correction strategy of the operating parameters of the hybrid pumped-storage power station;

[0208] Step E-6: Let x=x+1, and repeat the step of determining whether x is less than the maximum number of iterations;

[0209] Step E-7: When x is equal to the maximum number of iterations, merge the x-1th generation parent population and the corrected x-1th generation child population, and generate the xth generation parent population based on the objective function and the merged population, and obtain the target operating parameters of the hybrid pumped-storage power station based on the xth generation parent population.

[0210] Among them, in step E-1, the first generation parent population can be randomly generated by using real number coding;

[0211] In step E-2, the peak shaving target value of each individual in the first generation parent population can be calculated according to the objective function. and shipping target value , based on the two target values ​​of each individual, the individuals in the first generation parent population are non-dominated sorted, and then based on the fitness of each individual obtained by non-dominated sorting, the roulette algorithm is used to select from the first generation parent population individuals; then, for the selected individuals, the execution probability is The crossover operation makes the offspring individuals pair up and exchange some genes; the execution probability is The mutation operation randomly changes the genes of the offspring individuals, and we get The size of the first generation offspring population.

[0212] That is, based on a certain generation of parent population, the process of obtaining the child population of this generation can include:

[0213] Perform non-dominated sorting, roulette wheel selection, crossover operation, and mutation operation on this generation of parent population in sequence.

[0214] In step E-5, after merging the x-1 generation parent population with the modified x-1 generation child population, the merged population can be subjected to fast non-dominated sorting and crowding calculation, so as to select the merged population according to the non-dominated sorting result and crowding. individuals, forming the x-th generation parent population; for example, here the selection can be made in the order of the non-dominated state of the non-dominated layer from strong to weak and the order of the crowdedness from large to small.

[0215] That is, based on the population formed by merging the x-1 generation parent population and the modified x-1 generation child population, the process of obtaining the x-generation parent population may include: performing the following steps on the merged population: non-dominated sorting, crowding calculation, and selecting the Individual.

[0216] In step E-7, the x-th generation parent population may be non-dominated sorted, wherein the individuals in the non-dominated layer with the strongest non-dominated state are the non-dominated solutions finally obtained.

[0217] To facilitate understanding of the above steps E-1 to E-7, the following takes the maximum number of iterations as 3 as an example to specifically introduce the process of solving the objective function:

[0218] like Figure 3 As shown, the three iteration processes are as follows:

[0219] First iteration:

[0220] According to the four groups of decision variables of the objective function (i.e. , , , ), the first generation of parent population is randomly generated using real number coding;

[0221] Perform non-dominated sorting, roulette wheel selection, crossover operation, and mutation operation on the first-generation parent population in sequence to obtain the first-generation child population;

[0222] According to the correction strategy, correct the first generation offspring population;

[0223] Second iteration:

[0224] Merge the first-generation parent population and the corrected first-generation child population;

[0225] The merged population is sequentially subjected to fast non-dominated sorting, crowding calculation, and selection based on non-dominated relations and crowding. individuals, and obtain the second generation parent population;

[0226] Perform non-dominated sorting, roulette wheel selection, crossover operation, and mutation operation on the second-generation parent population in sequence to obtain the second-generation child population;

[0227] According to the correction strategy, correcting the second generation offspring population;

[0228] Third iteration:

[0229] Merge the second-generation parent population and the corrected second-generation child population;

[0230] The merged population is sequentially subjected to fast non-dominated sorting, crowding calculation, and selection based on non-dominated relations and crowding. individuals, and obtain the third-generation parent population;

[0231] After three iterations, the values ​​of the four groups of decision variables of the individuals in the third-generation parent population are the solutions to the objective function; the objective function has as many solutions as there are individuals in the third-generation parent population.

[0232] It is understandable that the above crossover probability , mutation probability and the maximum number of iterations can be preset.

[0233] In addition, the following introduces non-dominated sorting, fast non-dominated sorting, roulette algorithm, and congestion calculation:

[0234] 1. Non-dominated sorting

[0235] The basic steps of non-dominated sorting include: dividing the non-dominated individuals into the first non-dominated layer, formulating and assigning a shared virtual fitness (such as 1); then, ignoring the individuals that have been stratified, because the non-dominated individuals have been ignored, so now some new non-dominated individuals appear, and the new non-dominated individuals are divided into the second non-dominated layer and assigned a shared virtual fitness (such as 0.9); wherein the fitness value of the second non-dominated layer is less than the fitness of the first non-dominated layer; and so on, until all individuals in the population are stratified.

[0236] Among them, in the embodiment of the present invention, in a certain population, for a certain individual , if there is any individual in the population ,satisfy and , then we call it individual Dominate individuals If satisfied and , then we call the individual Dominate individuals Otherwise, the individual is a non-dominated individual. Here, For individuals The value of the first objective function (i.e., the peak load target value), For individuals The value of the first objective function, For individuals The value of the second objective function (i.e., the shipping objective value), For individuals The value of the second objective function.

[0237] 2. Fast Non-Dominated Sorting

[0238] The basic steps of fast non-dominated sorting include:

[0239] For each individual x in the population, there are two parameters nx and Sx, nx is the number of individuals in the population that dominate individual x, and Sx is the set of individuals dominated by individual x;

[0240] Then, find all individuals with nx=0 in the population and store them in the current non-dominated set rank1;

[0241] For each individual y in the current non-dominated set rank1, traverse the individual set Sy it dominates, and subtract 1 from the nr of each individual r in the set Sy, that is, the number of individuals that dominate the solution of individual r is reduced by 1 (because the individual y that dominates individual r has been stored in the current non-dominated set rank1). If nr-1=0, store individual r in another set H;

[0242] Rank1 is regarded as the set of first-level non-dominated individuals, so the individuals in rank1 are the best. They only dominate other individuals, but are not dominated by any other individuals. All individuals in the set are given the same non-dominated order, and then the above-mentioned classification operation is continued on the set H, and the corresponding non-dominated order is also assigned, until all individuals are classified, that is, they are all assigned the corresponding non-dominated order.

[0243] It can be seen that fast non-dominated sorting is to divide a set of solutions into n sets: rank1, rank2...rankn, all solutions in each set do not dominate each other, but any solution in rankx dominates any solution in ranky (x <y)。

[0244] 2. Roulette Algorithm

[0245] The principle of the roulette algorithm is: based on the roulette game in the casino, each individual is assigned a corresponding part on the roulette wheel, and the size of the part is proportional to the individual fitness (that is, the fitness of each individual obtained after non-dominated sorting). During the selection process, the roulette wheel will be "spun" many times and eventually stop at a certain part, and the corresponding individual will be selected to produce offspring. Therefore, the individuals with greater fitness in the parent population are more likely to be selected as offspring individuals.

[0246] For example, the first-generation parent population includes individuals {a1, a2, a3}, and the first-generation child population obtained based on the first-generation parent population may be {a1, a2, a2}.

[0247] 3. Crowding Calculation

[0248] The congestion degree can be calculated according to the following formula:

[0249] (15)

[0250] in, For individuals The congestion level, is the target function number, For individuals No. The function value of the objective function, Represents an individual The number of individuals in a population.

[0251] In one embodiment of the present invention, the correction strategy of the operating parameters of the hybrid pumped storage power station includes at least one of the following:

[0252] A first correction strategy, used to indicate correction of the water level fluctuation of the downstream river section;

[0253] A second correction strategy is used to indicate the correction of the water level change rate of the downstream river section;

[0254] The third correction strategy is used to instruct to correct the storage capacity of the upper reservoir and the storage capacity of the lower reservoir of the hybrid pumped-storage power station, the altitude of the upper reservoir being higher than the altitude of the lower reservoir.

[0255] Among them, in the process of solving the multi-objective function, the operating constraints and the shipping demand constraints may be destroyed. Therefore, in order to eliminate the constraint destruction phenomenon in the calculation process, the embodiment of the present invention can introduce the above-mentioned first correction strategy to correct the water level fluctuation of the downstream river section, introduce the above-mentioned second correction strategy to correct the water level change rate, and introduce the above-mentioned third correction strategy to correct the storage capacity of the upper reservoir and the lower reservoir.

[0256] For example, when NGSA-II is used to solve the objective function, the offspring population generated after crossover and mutation may violate the time coupling constraint. Therefore, to solve this problem, the first to third correction strategies mentioned above can be introduced.

[0257] Optionally, the first correction strategy is:

[0258] (16)

[0259] (17)

[0260] in, for The correction value of for Correction value of

[0261] , They are day number and hour number respectively;

[0262] The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour;

[0263] , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

[0264] It can be seen from this that the downstream water level fluctuation can be corrected according to formulas (16) and (17).

[0265] Among them, when NGSA-II is used to solve the objective function, after correcting the downstream water level, the net head and power generation flow can be further calculated according to formula (6) mentioned above, and then the actual power generation power and pumping power of the computer group can be calculated according to formula (7) (that is, the updated values ​​of the four groups of decision variables are obtained) to realize the update of the offspring individuals.

[0266] Optionally, the second correction strategy is:

[0267] (18)

[0268] in, for Correction value of

[0269] is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

[0270] It can be seen from this that the downstream water level change rate can be corrected according to formula (18).

[0271] Among them, when NGSA-II is used to solve the objective function, after correcting the downstream water level change rate, the net head and power generation flow can be further calculated according to formula (6) mentioned above, and then the actual power generation power and pumping power of the computer group can be calculated according to formula (7) (that is, the updated values ​​of the four groups of decision variables are obtained) to realize the update of the offspring individuals.

[0272] Optionally, the third correction strategy is:

[0273] exist Less than In the case of for ;

[0274] exist Greater than In the case of for ;

[0275] exist Less than In the case of for ;

[0276] exist Greater than In the case of for ;

[0277] in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity;

[0278] For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity.

[0279] Among them, when NGSA-II is used to solve the objective function, each individual in the population has the four groups of decision variables mentioned above (i.e. , , , ), where, based on these four groups of decision variables and combined with the above-mentioned formulas (1), (6), and (7), the storage capacity of the upper reservoir and the storage capacity of the lower reservoir can be calculated; at this time, the storage capacity of the upper reservoir and the storage capacity of the lower reservoir can be corrected according to the third correction strategy mentioned above. Then, the updated storage capacity value is substituted into formula (1) to obtain the power generation flow that meets the constraints, and then the obtained power generation flow is substituted into formula (6) to calculate the net head and power generation flow, and then the actual power generation power and pumping power of the computer group are calculated according to formula (7) (that is, the updated values ​​of the four groups of decision variables are obtained) to realize the update of the offspring individuals.

[0280] In summary, the specific implementation of the scheduling method of the hybrid pumped storage power station in the embodiment of the present invention can be described as follows, including steps 1 to 6:

[0281] Step 1: Determine the operating constraints of the hybrid pumped storage power station;

[0282] The operation constraint condition includes at least one of the following: a first constraint condition, a second constraint condition, a third constraint condition, a fourth constraint condition, a fifth constraint condition, a sixth constraint condition, a seventh constraint condition, and an eighth constraint condition; it can be understood that the specific contents of each constraint condition here can be found in the previous text, and will not be repeated here;

[0283] Step 2: Determine the navigation demand constraints of the downstream section of the river where the hybrid pumped storage power station is located;

[0284] The shipping demand constraint condition includes at least one of the following: the ninth constraint condition, the ninth constraint condition, and the eleventh constraint condition. It can be understood that the specific contents of each constraint condition here can be found in the previous text and will not be repeated here.

[0285] Step 3: Determine the correction strategy of the operating parameters of the hybrid pumped storage power station;

[0286] The correction strategy includes at least one of a first correction strategy, a second correction strategy, and a third correction strategy. It can be understood that the specific contents of each correction strategy here can be found in the previous text and will not be repeated here.

[0287] Step 4: Establish an objective function with the goal of minimizing the peak load target value and the shipping target value; it can be understood that the specific expression of the objective function can be found in the previous text and will not be repeated here;

[0288] Step 5: Based on the operation constraints and shipping demand constraints, as well as the correction strategy, a non-dominated sorting genetic algorithm based on the elite strategy is used to solve the objective function and obtain the target operation parameters of the hybrid pumped storage power station;

[0289] It is understandable that the process of solving the objective function here can be specifically referred to as described above, and will not be repeated here.

[0290] Step 6: Dispatch the operation of the hybrid pumped storage power station according to the target operating parameters.

[0291] In summary, the scheduling method of the hybrid pumped-storage power station in the embodiment of the present invention analyzes the structure and operation characteristics of the hybrid pumped-storage power station, considers the operation constraints, and analyzes the influence of the non-constant discharge flow of the reservoir on the flow, water level, flow velocity and other hydraulic elements of the downstream river section, and constructs a shipping demand constraint including the discharge flow, downstream water level fluctuation, and downstream water level change rate; thereby coupling the operation constraints of the hybrid pumped-storage power station with the shipping demand constraints, constructing a short-term multi-objective optimization scheduling model for peak load regulation and shipping, adopting a non-dominated sorting genetic algorithm based on an elite strategy to solve, and proposing the above-mentioned first correction strategy, second correction strategy, and third correction strategy to eliminate the constraint destruction phenomenon in the calculation process, thereby obtaining the Pareto solution set of the operation process of the conventional units and reversible units in the hybrid pumped-storage power station that meets the shipping demand; it can be seen that the embodiment of the present invention gives full play to the power generation benefit, regulation benefit, and shipping benefit of the hybrid pumped-storage power station, and provides decision support for the dispatching and operation of the power station.

[0292] That is, the embodiments of the present invention comprehensively consider the constraints of shipping, power station operation, etc., establish a short-term multi-objective optimization scheduling model for hybrid pumped-storage power stations for peak load regulation and shipping, optimize the operation process of conventional units and reversible units in the power station, and help the hybrid pumped-storage to smooth out the water level fluctuations and flow fluctuations in the downstream river on the basis of playing a flexible regulation role and assisting the peak load regulation of the power grid, improve the river navigation conditions, and ensure the safety of ship navigation.

[0293] It should be noted that the scheduling method of the hybrid pumped-storage power station provided in the embodiment of the present invention can be executed by a scheduling device of the hybrid pumped-storage power station, or a control module in the scheduling device of the hybrid pumped-storage power station for executing the scheduling method of the hybrid pumped-storage power station. In the embodiment of the present invention, the scheduling device of the hybrid pumped-storage power station executing the scheduling method of the hybrid pumped-storage power station is taken as an example to illustrate the scheduling device of the hybrid pumped-storage power station provided in the embodiment of the present invention.

[0294] An embodiment of the present invention provides a scheduling device for a hybrid pumped storage power station, such as Figure 4 As shown, the dispatching device 400 of the hybrid pumped storage power station may include the following modules:

[0295] A determination module 401 is used to determine the operation constraints of the hybrid pumped storage power station and the navigation demand constraints of the downstream river section where the hybrid pumped storage power station is located;

[0296] Function establishment module 402, used to establish an objective function with the minimum peak load target value and the minimum navigation target value as objectives, wherein the peak load target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped storage power station, and the navigation target value represents the water level fluctuation value of the downstream river section;

[0297] A solution module 403 is used to solve the objective function based on the operation constraint condition and the shipping demand constraint condition, and the correction strategy of the operation parameters of the hybrid pumped-storage power station to obtain the target operation parameters of the hybrid pumped-storage power station;

[0298] The scheduling module 404 is used to schedule the operation of the hybrid pumped-storage power station according to the target operation parameters.

[0299] Optionally, the solution module 403 includes:

[0300] The solution submodule is used to solve the objective function based on the operating constraints and the shipping demand constraints, and the correction strategy of the operating parameters of the hybrid pumped-storage power station, using a non-dominated sorting genetic algorithm based on an elite strategy, to obtain the target operating parameters of the hybrid pumped-storage power station.

[0301] Optionally, the solution submodule is specifically used for:

[0302] Encoding the decision variables of the objective function to obtain a first generation parent population;

[0303] Generate a first-generation offspring population according to the first-generation parent population and the objective function;

[0304] According to the correction strategy of the operating parameters of the hybrid pumped-storage power station, the individuals in the first generation offspring population are corrected;

[0305] Let x=2, and determine whether x is less than the maximum number of iterations;

[0306] When x is less than the maximum number of iterations, the x-1th generation parent population and the corrected x-1th generation child population are merged, and the x-1th generation parent population is generated based on the objective function and the merged population; the x-1th generation child population is generated according to the x-1th generation parent population and the objective function; and the individuals in the x-1th generation child population are corrected according to the correction strategy of the operating parameters of the hybrid pumped-storage power station;

[0307] Let x=x+1, and repeat the step of determining whether x is less than the maximum number of iterations;

[0308] When x is equal to the maximum number of iterations, the x-1th generation parent population and the corrected x-1th generation child population are merged, and the x-1th generation parent population is generated based on the objective function and the merged population, and the target operating parameters of the hybrid pumped-storage power station are obtained according to the x-1th generation parent population.

[0309] Optionally, the correction strategy of the operating parameters of the hybrid pumped-storage power station includes at least one of the following:

[0310] A first correction strategy, used to indicate correction of the water level fluctuation of the downstream river section;

[0311] A second correction strategy is used to indicate the correction of the water level change rate of the downstream river section;

[0312] The third correction strategy is used to instruct to correct the storage capacity of the upper reservoir and the storage capacity of the lower reservoir of the hybrid pumped-storage power station, the altitude of the upper reservoir being higher than the altitude of the lower reservoir.

[0313] Optionally, the first correction strategy is:

[0314]

[0315]

[0316] in, for The correction value of for Correction value of

[0317] , They are day number and hour number respectively;

[0318] The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour;

[0319] , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

[0320] Optionally, the second correction strategy is:

[0321]

[0322] in, for Correction value of

[0323] is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

[0324] Optionally, the third correction strategy is:

[0325] exist Less than In the case of for ;

[0326] exist Greater than In the case of for ;

[0327] exist Less than In the case of for ;

[0328] exist Greater than In the case of for ;

[0329] in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity;

[0330] For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity.

[0331] Optionally, the objective function includes:

[0332]

[0333]

[0334] in, is the peak load target value, is the shipping target value, For the period of grid load;

[0335] For the first generator In the period The first generator set is deployed in the upper reservoir of the hybrid pumped-storage power station;

[0336] For the second generator set In the period The second generator set is deployed in the lower reservoir of the hybrid pumped-storage power station, and the altitude of the upper reservoir is higher than the altitude of the lower reservoir;

[0337] , Reversible units In the period The power generation power and pumping power of the reversible unit are deployed in the upper reservoir;

[0338] , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units;

[0339] is the average tailwater level of the downstream river section during the dispatch period, , For the lower reservoir in the period Tailwater level;

[0340] is the number of scheduling periods.

[0341] Optionally, the hybrid pumped storage power station comprises an upper reservoir, a lower reservoir, a first generator set and a reversible generator set deployed in the upper reservoir, and a second generator set deployed in the lower reservoir, and the altitude of the upper reservoir is higher than the altitude of the lower reservoir;

[0342] The operation constraint condition includes at least one of the following:

[0343] The first constraint condition is used to indicate that the storage capacity of the upper reservoir satisfies the water flow change of the upper reservoir, and the storage capacity of the lower reservoir satisfies the water flow change of the lower reservoir;

[0344] The second constraint condition is used to indicate that the storage capacity of the upper reservoir and the storage capacity of the lower reservoir are respectively within their corresponding numerical ranges;

[0345] The third constraint condition is used to indicate that the power generation power of the first generator set, the power generation power of the reversible unit, the pumping power of the reversible unit, and the power generation power of the second generator set are respectively within their corresponding value ranges;

[0346] A fourth constraint condition is used to indicate that the power generation flow of the first generator set, the power generation flow of the reversible unit, the pumping flow of the reversible unit, and the power generation flow of the second generator set are respectively within their corresponding value ranges;

[0347] A fifth constraint condition, for indicating that a change in the water flow of the upper reservoir matches a change in the water flow of the lower reservoir;

[0348] a sixth constraint condition, for indicating that the change in the net head of the upper reservoir matches the change in the water level of the upper reservoir, and the change in the net head of the lower reservoir matches the change in the water level of the lower reservoir;

[0349] A seventh constraint condition is used to indicate that the operations of the first generator set, the reversible generator set, and the second generator set respectively satisfy their respective power characteristic curves;

[0350] The eighth constraint condition is used to indicate that any reversible unit is in a power generation state, a pumping state, or a shutdown state in a time period, and the first generator unit in a power generation state and the reversible unit in a pumping state cannot exist at the same time in the same time period.

[0351] Optionally, the first constraint condition is:

[0352]

[0353] in, is the time period number, is the time step length, Represents a constant;

[0354] For the upper reservoir in the period The storage capacity, For the lower reservoir in the period Storage capacity;

[0355] , , The upper reservoir is respectively Inflow, outflow and pumping flow;

[0356] , are respectively the lower reservoir in the period Inbound and outbound traffic.

[0357] Optionally, the second constraint condition is:

[0358]

[0359] in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity;

[0360] For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity;

[0361] is the number of scheduling periods;

[0362] , are the storage capacity of the upper reservoir at the beginning and end of the dispatching period respectively;

[0363] It is the storage capacity of the lower reservoir at the beginning of the scheduling period.

[0364] Optionally, the third constraint condition is:

[0365]

[0366] in, , , are respectively the number of the first generator set, the number of the reversible unit, and the number of the second generator set;

[0367] , , The first generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation;

[0368] , , The second generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation;

[0369] , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status;

[0370] , Reversible units In the period Power generation and pumping power;

[0371] , , , Reversible units In the period The lower limit of power generation, the upper limit of power generation, the lower limit of pumping power, and the upper limit of pumping power;

[0372] , are binary variables, representing reversible units In the period Power generation status and pumping status.

[0373] Optionally, the fourth constraint condition is:

[0374]

[0375] in, , , The first generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow;

[0376] , , The second generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow;

[0377] , Reversible units In the period Power generation flow and pumping flow;

[0378] , , , Reversible units In the period The lower limit of power generation flow, the upper limit of power generation flow, the lower limit of pumping flow, and the upper limit of pumping flow;

[0379] , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status;

[0380] , are binary variables, representing reversible units In the period Power generation status and pumping status.

[0381] Optionally, the fifth constraint condition is:

[0382]

[0383] in, , , , The upper reservoir is respectively outflow, flow loss, pumping flow, and power generation flow;

[0384] , , , , are respectively the lower reservoir in the period Inflow, outflow, flow loss, interval flow, and power generation flow;

[0385] , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units;

[0386] Reversible unit In time period The power generation flow;

[0387] For the first generator In time period The power generation flow;

[0388] Reversible unit In time period Pumping flow rate;

[0389] For the second generator set In time period of power generation flow.

[0390] Optionally, the sixth constraint condition is:

[0391]

[0392] in, , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head;

[0393] , , The upper reservoir is respectively The water level above the dam, tailwater level, and head loss;

[0394] , , The functional relationship between the water level above the dam of the upper reservoir and the storage capacity, the functional relationship between the tail water level of the upper reservoir and the power generation flow, and the functional relationship between the head loss of the upper reservoir and the power generation flow are respectively;

[0395] For the upper reservoir in the period The power generation flow, For the lower reservoir in the period The power generation flow;

[0396] , , are respectively the lower reservoir in the period The water level above the dam, tailwater level, and head loss;

[0397] , , They are respectively the functional relationship between the water level above the dam of the lower reservoir and the storage capacity, the functional relationship between the tail water level of the lower reservoir and the power generation flow, and the functional relationship between the head loss of the lower reservoir and the power generation flow;

[0398] For the upper reservoir in the period The pumping head, is the head loss of the upper reservoir;

[0399] For the upper reservoir in the period Storage capacity;

[0400] For the lower reservoir in the period The storage capacity.

[0401] Optionally, the seventh constraint condition is:

[0402]

[0403] in: , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head;

[0404] For the first generator In the period The power generation flow, For the second generator set In the period The power generation flow, , Reversible units In the period Power generation flow and pumping flow;

[0405] For the first generator In time period The power generation capacity, For the second generator set In time period The power generation capacity;

[0406] , Reversible units In time period Power generation and pumping power;

[0407] , The first generator set , Second Generator Set The dynamic characteristic curve of

[0408] , Reversible units Dynamic characteristic curves when operating in power generation and pumping conditions;

[0409] For the upper reservoir in the period Pumping lift.

[0410] Optionally, the eighth constraint condition is:

[0411]

[0412] in, , are binary variables, respectively reversible units In the period The power generation status and pumping status; is a binary variable, for the first generator set In the period The power-on status.

[0413] Optionally, the shipping demand constraint condition includes at least one of the following:

[0414] a ninth constraint condition, for indicating that the discharge flow of the hybrid pumped-storage power station is within a predetermined range;

[0415] A tenth constraint condition, used to indicate that the water level variation of the downstream river section is within a predetermined range;

[0416] The eleventh constraint condition is used to indicate that the rate of change of the water level of the downstream river section is within a predetermined range.

[0417] Optionally, the ninth constraint condition is:

[0418]

[0419] in, , They are the lower limit and upper limit of the discharge flow rate to meet the shipping demand;

[0420] The lower reservoir of the hybrid pumped storage power station is outbound flow.

[0421] Optionally, the tenth constraint condition is:

[0422]

[0423] in, , They are day number and hour number respectively;

[0424] The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour;

[0425] , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

[0426] Optionally, the eleventh constraint condition is:

[0427]

[0428] in, is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

[0429] The multi-core system provided by the embodiment of the present invention can realize Figures 2 to 3 To avoid repetition, the various processes implemented by the method embodiment are not described here.

[0430] Alternatively, if Figure 5 As shown, an embodiment of the present invention further provides an electronic device 500, including a processor 501 and a memory 502, wherein the memory 502 stores a program or instruction that can be executed on the processor 501, and when the program or instruction is executed by the processor 501, each step of the above-mentioned hybrid pumped-storage power station scheduling method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0431] An embodiment of the present invention also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned hybrid pumped-storage power station scheduling method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0432] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0433] An embodiment of the present invention further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned hybrid pumped-storage power station scheduling method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0434] It should be understood that the chip mentioned in the embodiment of the present invention may also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0435] An embodiment of the present invention provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned hybrid pumped-storage power station scheduling method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0436] It should be noted that, in this article, the terms "comprise", "include" 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, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the embodiment of the present invention is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0437] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling an electronic device to execute the methods described in each embodiment of the present invention.

[0438] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the purpose of the present invention and the scope of protection of the present invention, all of which are within the protection of the present invention.

Claims

1. A method for dispatching a hybrid pumped storage power station, characterized in that: The dispatching method of the hybrid pumped storage power station comprises: Determining operating constraints of the hybrid pumped-storage power station and navigation demand constraints of a downstream section of a river where the hybrid pumped-storage power station is located; Establishing an objective function with the minimum peak load target value and the minimum navigation target value as objectives, wherein the peak load target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped storage power station, and the navigation target value represents the water level fluctuation value of the downstream river section; Based on the operation constraint condition and the shipping demand constraint condition, and the correction strategy of the operation parameters of the hybrid pumped-storage power station, the objective function is solved to obtain the target operation parameters of the hybrid pumped-storage power station; According to the target operating parameters, dispatching the operation of the hybrid pumped-storage power station; The objective function includes: in, is the peak load target value, is the shipping target value, For the period of grid load; For the first generator In the period The first generator set is deployed in the upper reservoir of the hybrid pumped-storage power station; For the second generator set In the period The second generator set is deployed in the lower reservoir of the hybrid pumped-storage power station, and the altitude of the upper reservoir is higher than the altitude of the lower reservoir; , Reversible units In the period The power generation power and pumping power of the reversible unit are deployed in the upper reservoir; , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units; is the average tailwater level of the downstream river section during the dispatch period, , For the lower reservoir in the period Tailwater level; is the number of scheduling periods; The correction strategy of the operating parameters of the hybrid pumped storage power station includes at least one of the following: A first correction strategy, used to indicate correction of the water level fluctuation of the downstream river section; A second correction strategy is used to indicate the correction of the water level change rate of the downstream river section; The third correction strategy is used to instruct to correct the storage capacity of the upper reservoir and the storage capacity of the lower reservoir of the hybrid pumped-storage power station, the altitude of the upper reservoir being higher than the altitude of the lower reservoir.

2. The method for dispatching a hybrid pumped storage power station according to claim 1, characterized in that: The objective function is solved based on the operation constraint condition and the shipping demand constraint condition, and the correction strategy of the operation parameters of the hybrid pumped-storage power station to obtain the target operation parameters of the hybrid pumped-storage power station, including: Based on the operating constraints and the shipping demand constraints, as well as the correction strategy for the operating parameters of the hybrid pumped-storage power station, a non-dominated sorting genetic algorithm based on an elite strategy is adopted to solve the objective function to obtain the target operating parameters of the hybrid pumped-storage power station.

3. The dispatching method of a hybrid pumped storage power station according to claim 2, characterized in that: The correction strategy based on the operation constraint condition and the shipping demand constraint condition, and the operation parameters of the hybrid pumped-storage power station, adopts a non-dominated sorting genetic algorithm based on an elite strategy to solve the objective function and obtain the target operation parameters of the hybrid pumped-storage power station, including: Encoding the decision variables of the objective function to obtain a first generation parent population; Generate a first-generation offspring population according to the first-generation parent population and the objective function; According to the correction strategy of the operating parameters of the hybrid pumped-storage power station, the individuals in the first generation offspring population are corrected; Let x=2, and determine whether x is less than the maximum number of iterations; When x is less than the maximum number of iterations, the x-1th generation parent population and the corrected x-1th generation child population are merged, and the x-1th generation parent population is generated based on the objective function and the merged population; the x-1th generation child population is generated according to the x-1th generation parent population and the objective function; and the individuals in the x-1th generation child population are corrected according to the correction strategy of the operating parameters of the hybrid pumped-storage power station; Let x=x+1, and repeat the step of determining whether x is less than the maximum number of iterations; When x is equal to the maximum number of iterations, the x-1th generation parent population and the corrected x-1th generation child population are merged, and the x-1th generation parent population is generated based on the objective function and the merged population, and the target operating parameters of the hybrid pumped-storage power station are obtained according to the x-1th generation parent population.

4. The dispatching method of a hybrid pumped storage power station according to claim 1, characterized in that: The first correction strategy is: in, for The correction value of for Correction value of , They are day number and hour number respectively; The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour; , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

5. The dispatching method of a hybrid pumped storage power station according to claim 1, characterized in that: The second correction strategy is: in, for Correction value of is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

6. The dispatching method of a hybrid pumped storage power station according to claim 1, characterized in that: The third correction strategy is: exist Less than In the case of for ; exist Greater than In the case of for ; exist Less than In the case of for ; exist Greater than In the case of for ; in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity; For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity.

7. The dispatching method of a hybrid pumped storage power station according to claim 1, characterized in that: The hybrid pumped storage power station comprises an upper reservoir, a lower reservoir, a first generator set and a reversible generator set deployed in the upper reservoir, and a second generator set deployed in the lower reservoir, wherein the upper reservoir has a higher altitude than the lower reservoir; The operation constraint condition includes at least one of the following: The first constraint condition is used to indicate that the storage capacity of the upper reservoir satisfies the water flow change of the upper reservoir, and the storage capacity of the lower reservoir satisfies the water flow change of the lower reservoir; The second constraint condition is used to indicate that the storage capacity of the upper reservoir and the storage capacity of the lower reservoir are respectively within their corresponding numerical ranges; The third constraint condition is used to indicate that the power generation power of the first generator set, the power generation power of the reversible unit, the pumping power of the reversible unit, and the power generation power of the second generator set are respectively within their corresponding value ranges; A fourth constraint condition is used to indicate that the power generation flow of the first generator set, the power generation flow of the reversible unit, the pumping flow of the reversible unit, and the power generation flow of the second generator set are respectively within their corresponding value ranges; A fifth constraint condition, for indicating that a change in the water flow of the upper reservoir matches a change in the water flow of the lower reservoir; a sixth constraint condition, for indicating that the change in the net head of the upper reservoir matches the change in the water level of the upper reservoir, and the change in the net head of the lower reservoir matches the change in the water level of the lower reservoir; A seventh constraint condition is used to indicate that the operations of the first generator set, the reversible generator set, and the second generator set respectively satisfy their respective power characteristic curves; The eighth constraint condition is used to indicate that any reversible unit is in a power generation state, a pumping state, or a shutdown state in a time period, and the first generator unit in a power generation state and the reversible unit in a pumping state cannot exist at the same time in the same time period.

8. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The first constraint condition is: in, is the time period number, is the time step length, Represents a constant; For the upper reservoir in the period The storage capacity, For the lower reservoir in the period Storage capacity; , , The upper reservoir is respectively Inflow, outflow and pumping flow; , are respectively the lower reservoir in the period Inbound and outbound traffic.

9. The method for dispatching a hybrid pumped storage power station according to claim 7, characterized in that: The second constraint is: in, For the upper reservoir in the period The storage capacity, , The upper reservoir is respectively The upper and lower limits of storage capacity; For the lower reservoir in the period The storage capacity, , are respectively the lower reservoir in the period The upper and lower limits of storage capacity; is the number of scheduling periods; , are the storage capacity of the upper reservoir at the beginning and end of the dispatching period respectively; It is the storage capacity of the lower reservoir at the beginning of the scheduling period.

10. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The third constraint condition is: in, , , are respectively the number of the first generator set, the number of the reversible unit, and the number of the second generator set; , , The first generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation; , , The second generator set In the period The power generation capacity, the lower limit of power generation, and the upper limit of power generation; , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status; , Reversible units In the period Power generation and pumping power; , , , Reversible units In the period The lower limit of power generation, the upper limit of power generation, the lower limit of pumping power, and the upper limit of pumping power; , are binary variables, representing reversible units In the period Power generation status and pumping status.

11. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The fourth constraint condition is: in, , , The first generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow; , , The second generator set In the period The power generation flow, the lower limit of power generation flow, and the upper limit of power generation flow; , Reversible units In the period Power generation flow and pumping flow; , , , Reversible units In the period The lower limit of power generation flow, the upper limit of power generation flow, the lower limit of pumping flow, and the upper limit of pumping flow; , are binary variables, representing the first generator set , Second Generator Set In the period The power-on status; , are binary variables, representing reversible units In the period Power generation status and pumping status.

12. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The fifth constraint condition is: in, , , , The upper reservoir is respectively outflow, flow loss, pumping flow, and power generation flow; , , , , are respectively the lower reservoir in the period Inflow, outflow, flow loss, interval flow, and power generation flow; , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units; Reversible unit In time period The power generation flow; For the first generator In time period The power generation flow; Reversible unit In time period Pumping flow rate; For the second generator set In time period of power generation flow.

13. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The sixth constraint condition is: in, , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head; , , The upper reservoir is respectively The water level above the dam, tailwater level, and head loss; , , They are respectively the functional relationship between the water level above the dam of the upper reservoir and the storage capacity, the functional relationship between the tail water level of the upper reservoir and the power generation flow, and the functional relationship between the head loss of the upper reservoir and the power generation flow; For the upper reservoir in the period The power generation flow, For the lower reservoir in the period The power generation flow; , , are respectively the lower reservoir in the period The water level above the dam, tailwater level, and head loss; , , They are respectively the functional relationship between the water level above the dam of the lower reservoir and the storage capacity, the functional relationship between the tail water level of the lower reservoir and the power generation flow, and the functional relationship between the head loss of the lower reservoir and the power generation flow; For the upper reservoir in the period The pumping head, is the head loss of the upper reservoir; For the upper reservoir in the period Storage capacity; For the lower reservoir in the period The storage capacity.

14. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The seventh constraint condition is: in: , are the upper reservoir in the time period The net water head of the lower reservoir during the period of net water head; For the first generator In the period The power generation flow, For the second generator set In the period The power generation flow, , Reversible units In the period Power generation flow and pumping flow; For the first generator In time period The power generation capacity, For the second generator set In time period The power generation capacity; , Reversible units In time period Power generation and pumping power; , The first generator set , Second Generator Set The dynamic characteristic curve of , Reversible units Dynamic characteristic curves when operating in power generation and pumping conditions; For the upper reservoir in the period Pumping lift.

15. The dispatching method of a hybrid pumped storage power station according to claim 7, characterized in that: The eighth constraint condition is: in, , are binary variables, respectively reversible units In the period The power generation status and pumping status; is a binary variable, for the first generator set In the period The power-on status.

16. The dispatching method of a hybrid pumped storage power station according to claim 1, characterized in that: The shipping demand constraint condition includes at least one of the following: a ninth constraint condition, for indicating that the discharge flow of the hybrid pumped-storage power station is within a predetermined range; A tenth constraint condition, used to indicate that the water level variation of the downstream river section is within a predetermined range; The eleventh constraint condition is used to indicate that the rate of change of the water level of the downstream river section is within a predetermined range.

17. The dispatching method of a hybrid pumped storage power station according to claim 16, characterized in that: The ninth constraint condition is: in, , They are the lower limit and upper limit of the discharge flow rate to meet the shipping demand; The lower reservoir of the hybrid pumped storage power station is outbound flow.

18. The dispatching method of a hybrid pumped storage power station according to claim 16, characterized in that: The tenth constraint condition is: in, , They are day number and hour number respectively; The downstream river section is The tail water level at the end of the day, The downstream river section is Tailwater level at the end of the hour; , They are respectively the upper limits of daily and hourly fluctuations of the water level in the downstream river section.

19. The method for dispatching a hybrid pumped storage power station according to claim 16, characterized in that: The eleventh constraint condition is: in, is the upper limit of the water level change rate of the downstream river section, The lower reservoir of the hybrid pumped storage power station is The tailwater level, is the time period step.

20. A dispatching device for a hybrid pumped storage power station, characterized in that: The dispatching device of the hybrid pumped storage power station comprises: A determination module, used to determine the operation constraints of the hybrid pumped-storage power station and the navigation demand constraints of the downstream river section where the hybrid pumped-storage power station is located; A function establishment module, used to establish an objective function with the minimum peak load target value and the minimum navigation target value as objectives, wherein the peak load target value represents the maximum value of the residual load of the power grid corresponding to the output of the hybrid pumped storage power station, and the navigation target value represents the water level fluctuation value of the downstream river section; A solution module, configured to solve the objective function based on the operation constraint condition and the shipping demand constraint condition, and a correction strategy for the operation parameters of the hybrid pumped-storage power station, to obtain target operation parameters of the hybrid pumped-storage power station; A scheduling module, used for scheduling the operation of the hybrid pumped-storage power station according to the target operation parameters; The objective function includes: in, is the peak load target value, is the shipping target value, For the period of grid load; For the first generator In the period The first generator set is deployed in the upper reservoir of the hybrid pumped-storage power station; For the second generator set In the period The second generator set is deployed in the lower reservoir of the hybrid pumped-storage power station, and the altitude of the upper reservoir is higher than the altitude of the lower reservoir; , Reversible units In the period The power generation power and pumping power of the reversible unit are deployed in the upper reservoir; , , are respectively the number of the reversible units, the number of the first generator units, and the number of the second generator units; is the average tailwater level of the downstream river section during the dispatch period, , For the lower reservoir in the period Tailwater level; is the number of scheduling periods; The correction strategy of the operating parameters of the hybrid pumped storage power station includes at least one of the following: A first correction strategy, used to indicate correction of the water level fluctuation of the downstream river section; A second correction strategy is used to indicate the correction of the water level change rate of the downstream river section; The third correction strategy is used to instruct to correct the storage capacity of the upper reservoir and the storage capacity of the lower reservoir of the hybrid pumped-storage power station, the altitude of the upper reservoir being higher than the altitude of the lower reservoir.

21. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein when the program or instruction is executed by the processor, the steps of the scheduling method of the hybrid pumped storage power station as described in any one of claims 1 to 19 are implemented.

22. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the scheduling method of the hybrid pumped-storage power station as described in any one of claims 1-19 are implemented.

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