Method and system for determining upper and lower limits of declarable electric quantity of hydropower station based on cascade reservoir dispatching model

Abstract

The invention discloses a method and a system for determining upper and lower limits of declarable electric quantity of a hydropower station based on a cascade reservoir dispatching model, and the method comprises the steps: carrying out the linearization of an expression of generating capacity through a mathematical programming algorithm, and obtaining the linearized expression of generating capacity; substituting the linearized power generation capacity expression into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and solving a linear optimization problem to obtain the maximum potential difference between the upper limit and the lower limit of the power generation capacity of the hydropower station; and inputting other constraint conditions of medium-and-long-term dispatching of the hydropower station and the maximum potential difference between the upper and lower limits of the power generation capacity of the hydropower station as parameters into the actual dispatching power generation capacity boundary optimization model of the hydropower station, solving the actual dispatching power generation capacity boundary optimization model of the hydropower station, and outputting the upper and lower limits of the first-month power generation capacity in the dispatching period of the hydropower station. The method provides a basis for setting declarable electric quantity upper and lower limits when a hydropower station participates in an electricity market in a power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower station optimization dispatching, and in particular to a method and system for determining upper and lower limits of declarable electricity quantity of a hydropower station based on a cascade reservoir dispatching model. Background Art

[0002] With the continuous evolution and rapid development of the electricity market, energy dispatch has gradually transitioned from regulated planning to freer market competition. Correspondingly, a paradigm shift has taken place in the field of hydropower dispatch management, and the dispatch focus of the power system has gradually shifted from hydropower station power generation dispatch to the needs of the electricity market.

[0003] For a long time, the resource dispatch of hydropower stations has been more from the perspective of hydropower station operation, and the demand of hydropower stations has dominated in most of the past literature. However, with the development of the power market and the increasing complexity of power system dispatch and operation, the overall energy development trend has undergone tremendous changes, and the resource allocation in the hydropower field has gradually transitioned from "water determines electricity" to the more adaptable "electricity determines water". Previous studies have been trying to solve the problems of hydropower stations operating as independent entities. Hydropower stations sign contractual agreements with the power grid based on predicted water inflows, but there is a significant deviation between the contractual electricity signed by the hydropower stations and the actual power generation. Therefore, under this type of operation, the hydropower station has certain potential economic losses, penalties for poor performance, and revenue losses in the case of overperformance. How to reasonably set the contractual electricity to ensure that the hydropower station can meet the contract requirements during the dispatch period and maximize its power generation capacity is an important issue.

[0004] Various methods have been proposed to address the problems of hydropower station power generation capacity and the suitability and complexity of their declared power in the power market. Researchers have started from the analysis of power market trading strategies, bidding strategies based on deep reinforcement learning, and the day-ahead market clearing model of cascade hydropower stations, taking into account factors such as market co-operation and competition, power station constraints and operations, and constantly seek reasonable power declaration methods for hydropower stations. These studies provide valuable insights, but show inherent limitations, including neglecting the accurate assessment of periodic power generation capacity and difficulty in reasonably controlling the declared power. The upper and lower limits of the power generation that can be declared by hydropower stations are the boundaries of the grid to balance power supply and demand, and they reflect the hydropower station's commitment to fulfilling its contractual obligations. How to ensure that the grid can still perform its contractual power well under various complex circumstances is a problem worth studying.

[0005] As the electricity market has evolved from regulated planning to unregulated market competition, hydropower plants have changed their operations and decision-making processes. Hydropower plants can bid for their own electricity in the electricity market and arrange power generation reasonably based on the winning bid. The power grid plays a vital role in this transformation. In order to maintain the balance and stability of the entire power system, the power grid should set upper and lower limits on the amount of electricity that can be reported by each hydropower station to ensure that the power grid can safely, stably and sustainably meet future electricity demand. This task involves not only considering the requirements of the power system, but also the need for each hydropower station to ensure that it fulfills its contracted production.

[0006] Therefore, it is a hot topic to shift the focus from the engineering needs of hydropower stations to the specific needs raised by the power market, clarify how to better optimize hydropower resources under the pattern of rapid development of the power market, and ensure that hydropower stations play a greater role in the power market. How to effectively set the upper and lower limits of the amount of electricity that can be reported by hydropower stations in actual production is a key issue that the power grid urgently needs to solve. Summary of the invention

[0007] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0008] In view of the above existing problems, the present invention is proposed.

[0009] Therefore, the present invention provides a method and system for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model to solve the problem of how to effectively set the upper and lower limits of the electricity that can be reported by a hydropower station in actual production.

[0010] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0011] In a first aspect, the present invention provides a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model, comprising:

[0012] Based on the contractual quantity constraints of hydropower participating in the electricity market, the expression of power generation is linearized through mathematical programming algorithm to obtain the linearized expression of power generation;

[0013] The linearized power generation expression is introduced into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and the minimum and maximum potential power generation capacities of the hydropower station in the first month of the dispatch period are determined by solving the linear optimization problem.

[0014] By comparing the potential minimum and maximum power generation capacities of the hydropower station in the first month of the dispatch period, the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity is obtained;

[0015] Other constraints for medium- and long-term dispatch of hydropower stations and the maximum potential gap between the upper and lower limits of the power generation capacity of the hydropower station are input as parameters into the optimization model of the actual dispatch power generation capacity boundary of the hydropower station. The power generation expression and all constraints in the optimization model of the actual dispatch power generation capacity boundary of the hydropower station are linearized through the mathematical programming algorithm to form a linear optimization problem.

[0016] Based on the linear optimization problem, the optimization model of the boundary of the actual dispatching power generation capacity of the hydropower station is solved, and the upper and lower limits of the power generation capacity in the first month of the hydropower station dispatch period are output as the basis for the upper and lower limits of the power that can be reported when the power grid sets up hydropower stations to participate in the power market.

[0017] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0018] The minimum potential power generation capacity model includes an objective function and constraint conditions;

[0019] The objective function of the minimum potential power generation capacity model is expressed as:

[0020] min E i0,0

[0021] Among them, min E i0,0 It represents minimizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

[0022] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0023] The constraints of the minimum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity and power generation expression;

[0024] The water balance constraint is expressed as:

[0025]

[0026] in, Represents the storage capacity of the i-th hydropower station at time step t+1, in hm 3 ; represents the storage capacity of the i-th hydropower station at time step t; I i,t Represents the natural water inflow of the ith hydropower station at time step t, in m 3 / s; represents the water flow of the kth hydropower station directly connected to the ith hydropower station at time step t, in m 3 / s; It represents the total water inflow of all hydropower stations directly connected to the i-th hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; Δt represents the time step, the unit is hour h;

[0027] The contractual power constraint is expressed as:

[0028]

[0029] in, represents the power generation of the ith hydropower station at time step y, in MWh; C i represents the contracted electricity volume during the dispatch period of the i-th power station, in MWh; represents a summation symbol, meaning that from time step t = 0 to t = T-1, for all To accumulate;

[0030] The minimum guaranteed power generation constraint is expressed as:

[0031]

[0032] in, represents a summation symbol, which means that from the 1st hydropower station to the Nth hydropower station, all Accumulate; F t represents the minimum guaranteed electricity that all hydropower plants must jointly produce at time step t, in MWh;

[0033] The minimum power generation constraint is expressed as:

[0034]

[0035] in, E it represents the minimum power generation of the ith hydropower station at time step t, in MWh;

[0036] The outbound flow and storage capacity upper and lower limit constraints are expressed as:

[0037]

[0038] in, Q it Represents the lower limit of the outflow flow of the ith hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; It represents the upper limit of the outflow of the ith hydropower station at time step t, in m 3 / s; V it Represents the lower limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; It represents the upper limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ;

[0039] The formula for expressing the power generation is as follows:

[0040]

[0041]

[0042] Among them, η i (·) represents the hydropower conversion efficiency of the i-th hydropower station; represents the water head height of the ith hydropower station at time step t, in m; Represents the maximum power generation flow of the i-th hydropower station, in m 3 / s;f i (·,·) represents a function used to calculate the hydraulic head

[0043] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0044] The maximum potential power generation capacity model includes an objective function and constraints; the constraints of the maximum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity and power generation expression;

[0045] The objective function of the maximum potential power generation capacity model is expressed as:

[0046] max E i0,0

[0047] Among them, max E i0,0 It represents maximizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

[0048] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0049] The actual dispatching power generation capacity boundary optimization model of the hydropower station includes an objective function and constraints; the constraints include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity, power generation expression, first month power generation upper limit must be greater than lower limit constraints and fairness deviation constraints;

[0050] The objective function of the actual dispatching power generation capacity boundary optimization model of the hydropower station is expressed as:

[0051]

[0052] in, represents the minimization operation on the storage capacity V and the outbound flow Q; W represents the target weight; nr i and pr i represents the negative and positive deviations of the ith hydropower station relative to the fair expectation; and It represents the lower and upper limits of the power generation capacity of the i-th hydropower station in the first month of the dispatch period, in MWh.

[0053] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0054] The mathematical programming algorithm includes the SOS2 algorithm;

[0055] The SOS2 algorithm comprises the following steps:

[0056] According to the storage capacity and outbound storage restrictions of each month in the one-year scheduling period, determine the V and Q interpolation range, and select specific points within the range to make them evenly distributed;

[0057] Generate a two-dimensional grid and calculate the power generation corresponding to the grid point according to the expression;

[0058] For each grid point [V it ,Q it ]Assign weight value;

[0059] Under the SOS2 constraint, a set of weight values ​​is obtained through Gurobi optimization;

[0060] By applying the optimized weight value to each preset power generation grid point, the power generation of reservoir i in time period t is calculated in a linear combination manner;

[0061] Output the optimal solution of the algorithm;

[0062] The two-dimensional grid is generated, and the power generation corresponding to the grid point is calculated according to the expression as follows:

[0063]

[0064] in, represents the upper and lower limits of the power generation corresponding to the kth row and lth column of reservoir i in the grid interpolation, represents the storage capacity value corresponding to the kth row of reservoir i in the grid interpolation, represents the outflow value corresponding to the lth row of reservoir i in the grid interpolation;

[0065] The optimized weight value is applied to each preset power generation grid point, and the power generation of reservoir i in time period t is calculated in a linear combination manner as follows:

[0066]

[0067] Among them, k represents the k-th row of the grid interpolation, l represents the l-th column of the grid interpolation, It represents the weight value corresponding to the kth row and lth column in the grid interpolation of reservoir i at time period t.

[0068] As a preferred solution of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model of the present invention, wherein:

[0069] The expression of power generation is linearized by a mathematical programming algorithm to obtain the expression of power generation after linearization, and the formula is as follows:

[0070]

[0071] in, represents the average storage capacity of hydropower station i in time period t, g i (·) represents the power generation function after linearization.

[0072] In a second aspect, the present invention provides a system for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model, comprising:

[0073] The linearization module is used to linearize the expression of power generation based on the contractual power constraints of hydropower participating in the power market through mathematical programming algorithms to obtain the expression of linearized power generation;

[0074] A solution module is used to bring the linearized power generation expression into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and determine the potential minimum and maximum power generation capacities of the first month of the hydropower station scheduling period by solving the linear optimization problem;

[0075] A comparison module is used to obtain the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity by comparing the potential minimum and maximum power generation capacities in the first month of the hydropower station's dispatch period;

[0076] An input module is used to input other constraints of the medium- and long-term dispatch of the hydropower station and the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity as parameters into the actual dispatch power generation capacity boundary optimization model of the hydropower station, and linearize the power generation expression and all constraints in the actual dispatch power generation capacity boundary optimization model of the hydropower station through a mathematical programming algorithm to form a linear optimization problem;

[0077] The output module is used to solve the boundary optimization model of the actual dispatching power generation capacity of the hydropower station based on the linear optimization problem, and output the upper and lower limits of the power generation capacity of the hydropower station in the first month during the dispatch period, which serves as the basis for the upper and lower limits of the power that can be declared when the power grid sets up hydropower stations to participate in the power market.

[0078] In a third aspect, the present invention provides a computing device, comprising:

[0079] Memory, used to store programs;

[0080] A processor is used to execute the computer executable instructions, which, when executed by the processor, implement the steps of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model.

[0081] In a fourth aspect, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model.

[0082] Beneficial effects of the present invention: The present invention takes into account the phenomenon that when a hydropower station participates in the electricity market, excessive or insufficient electricity may be reported due to factors such as electricity price fluctuations. On the basis of the traditional medium- and long-term scheduling of cascade hydropower stations, the present invention explores the upper and lower limits of the potential power generation capacity of the hydropower station. Based on this, from the perspective of the power grid, reasonable upper and lower limits of the electricity that can be reported are set for the hydropower station when it participates in the electricity market to avoid the phenomenon of improper declaration of electricity. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0084] Figure 1 A basic flow chart of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided by one embodiment of the present invention;

[0085] Figure 2A schematic diagram of the main flow of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided by an embodiment of the present invention;

[0086] Figure 3 A schematic diagram of the SOS2 algorithm flow of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided by an embodiment of the present invention;

[0087] Figure 4 A two-dimensional grid interpolation schematic diagram of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided by an embodiment of the present invention;

[0088] Figure 5 A schematic diagram of an SLP algorithm flow chart of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided by an embodiment of the present invention;

[0089] Figure 6 A hydraulic connection diagram between four reservoirs in Example 2 of a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0090] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0091] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0092] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0093] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0094] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0095] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0096] Example 1

[0097] Reference Figure 1 and Figure 5 , which is an embodiment of the present invention, provides a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model, such as Figure 1 As shown, the following steps are included:

[0098] S1: Based on the contractual quantity constraints of hydropower participating in the electricity market, the expression of power generation is linearized through mathematical programming algorithm to obtain the expression of linearized power generation;

[0099] S2: Substitute the linearized power generation expression into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and determine the potential minimum and maximum power generation capacities of the hydropower station in the first month of the dispatch period by solving the linear optimization problem;

[0100] In the embodiment of the present application, the objective function of the minimum potential power generation capacity model is expressed as:

[0101] min E i0,0 (1-1)

[0102] Among them, min E i0,0 It represents minimizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

[0103] In the embodiment of the present application, the constraints of the minimum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outbound flow, upper and lower limit constraints of storage capacity, and power generation expression;

[0104] The constraints of the minimum potential power generation capacity model are as follows:

[0105] (1) The water balance constraint is expressed as:

[0106]

[0107] in, Represents the storage capacity of the i-th hydropower station at time step t+1, in hm 3 ; represents the storage capacity of the i-th hydropower station at time step t; I i,t Represents the natural water inflow of the ith hydropower station at time step t, in m 3 / s; represents the water flow of the kth hydropower station directly connected to the ith hydropower station at time step t, in m 3 / s; It represents the total water inflow of all hydropower stations directly connected to the i-th hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; Δt represents the time step, the unit is hour h;

[0108] (2) The contractual power constraint is expressed as:

[0109]

[0110] in, represents the power generation of the ith hydropower station at time step y, in MWh; C i represents the contracted electricity volume during the dispatch period of the i-th power station, in MWh; represents a summation symbol, meaning that from time step t = 0 to t = T-1, for all To accumulate;

[0111] (3) The minimum guaranteed power generation constraint is expressed as:

[0112]

[0113] in, represents a summation symbol, which means that from the 1st hydropower station to the Nth hydropower station, all Accumulate; Ft represents the minimum guaranteed electricity that all hydropower plants must jointly produce at time step t, in MWh;

[0114] (4) The minimum power generation constraint is expressed as:

[0115]

[0116] in, E it represents the minimum power generation of the ith hydropower station at time step t, in MWh;

[0117] (5) The upper and lower limit constraints of outbound flow and storage capacity are expressed as:

[0118]

[0119] in, Q it Represents the lower limit of the outflow flow of the ith hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; It represents the upper limit of the outflow of the ith hydropower station at time step t, in m 3 / s; V it Represents the lower limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; It represents the upper limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ;

[0120] (6) The formula for expressing power generation is as follows:

[0121]

[0122] Among them, η i (·) represents the hydropower conversion efficiency of the i-th hydropower station; represents the water head height of the ith hydropower station at time step t, in m; Represents the maximum power generation flow of the i-th hydropower station, in m 3 / s;f i (·,·) represents a function used to calculate the hydraulic head

[0123] In the embodiment of the present application, the objective function of the maximum potential power generation capacity model is expressed as:

[0124] max E i0,0 (2-1)

[0125] Among them, max E i0,0 It represents maximizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

[0126] In the embodiment of the present application, the constraints of the maximum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outbound flow, upper and lower limit constraints of storage capacity, and power generation expression;

[0127] In the embodiment of the present application, the maximum potential power generation capacity model constraint conditions are as follows:

[0128] (1) The water balance constraint is expressed as:

[0129]

[0130] in, Represents the storage capacity of the i-th hydropower station at time step t+1, in hm 3 ; represents the storage capacity of the i-th hydropower station at time step t; I i,t Represents the natural water inflow of the ith hydropower station at time step t, in m 3 / s; represents the water flow of the kth hydropower station directly connected to the ith hydropower station at time step t, in m 3 / s; It represents the total water inflow of all hydropower stations directly connected to the i-th hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; Δt represents the time step, the unit is hour h;

[0131] (2) The contractual power constraint is expressed as:

[0132]

[0133] in, represents the power generation of the ith hydropower station at time step t, in MWh; C i represents the contracted electricity volume during the dispatch period of the i-th power station, in MWh; represents a summation symbol, meaning that from time step t = 0 to t = T-1, for all To accumulate;

[0134] (3) The minimum guaranteed power generation constraint is expressed as:

[0135]

[0136] in, represents a summation symbol, which means that from the 1st hydropower station to the Nth hydropower station, all Accumulate; F t represents the minimum guaranteed electricity that all hydropower plants must jointly produce at time step t, in MWh;

[0137] (4) The minimum power generation constraint is expressed as:

[0138]

[0139] in, E it represents the minimum power generation of the ith hydropower station at time step t, in MWh;

[0140] (5) The upper and lower limit constraints of outbound flow and storage capacity are expressed as:

[0141]

[0142] in, Q it Represents the lower limit of the outflow flow of the ith hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; It represents the upper limit of the outflow of the ith hydropower station at time step t, in m 3 / s; V it Represents the lower limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; It represents the upper limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ;

[0143] (6) The formula for expressing power generation is as follows:

[0144]

[0145] Among them, η i (·) represents the hydropower conversion efficiency of the i-th hydropower station; represents the water head height of the ith hydropower station at time step t, in m; Represents the maximum power generation flow of the i-th hydropower station, in m 3 / s;f i (·,·) represents a function used to calculate the hydraulic head

[0146] S3: By comparing the potential minimum and maximum power generation capacities of the hydropower station in the first month of the dispatch period, the maximum potential gap between the upper and lower limits of the power generation capacity of the hydropower station is obtained;

[0147] S4: other constraints for medium- and long-term dispatch of hydropower stations and the maximum potential gap between the upper and lower limits of the power generation capacity of the hydropower station are input as parameters into the optimization model for the actual dispatch power generation capacity boundary of the hydropower station, and the power generation expression and all constraints in the optimization model for the actual dispatch power generation capacity boundary of the hydropower station are linearized through a mathematical programming algorithm to form a linear optimization problem;

[0148] In the embodiment of the present application, the actual dispatching power generation capacity boundary optimization model of the hydropower station includes an objective function and constraints; the constraints include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outbound flow, upper and lower limit constraints of storage capacity, power generation expression, first month power generation upper limit must be greater than lower limit constraints and fairness deviation constraints;

[0149] In the embodiment of the present application, the objective function of the optimization model of the actual dispatching power generation capacity boundary of the hydropower station is expressed as:

[0150]

[0151] in, represents the minimization operation on the storage capacity V and the outbound flow Q; W represents the target weight; nr i and pr i represents the negative and positive deviations of the ith hydropower station relative to the fair expectation; and It represents the lower and upper limits of the power generation capacity of the i-th hydropower station in the first month of the dispatch period, in MWh.

[0152] In the embodiment of the present application, the constraints of the boundary optimization model of the actual dispatching power generation capacity of the hydropower station are as follows:

[0153] (1) The water balance constraint is expressed as:

[0154]

[0155] in, Represents the storage capacity of the i-th hydropower station at time step t+1, in hm 3 ; represents the storage capacity of the i-th hydropower station at time step t; I i,t Represents the natural water inflow of the ith hydropower station at time step t, in m 3 / s; represents the water flow of the kth hydropower station directly connected to the ith hydropower station at time step t, in m3 / s; It represents the total water inflow of all hydropower stations directly connected to the i-th hydropower station at time step t, in m 3 / s; Ω(i) represents the set of hydropower stations directly connected to the i-th power station;

[0156] represents the outflow of the ith hydropower station at time step t, in m 3 / s; Δt represents the time step, the unit is hour h;

[0157] (2) The contractual power constraint is expressed as:

[0158]

[0159] in, represents the power generation of the ith hydropower station at time step y, in MWh; C i represents the contracted electricity volume during the dispatch period of the i-th power station, in MWh; represents a summation symbol, meaning that from time step t = 0 to t = T-1, for all To accumulate;

[0160] (3) The minimum guaranteed power generation constraint is expressed as:

[0161]

[0162] in, represents a summation symbol, which means that from the 1st hydropower station to the Nth hydropower station, all Accumulate; F t represents the minimum guaranteed electricity that all hydropower plants must jointly produce at time step t, in MWh;

[0163] (4) The minimum power generation constraint is expressed as:

[0164]

[0165] in, E it represents the minimum power generation of the ith hydropower station at time step t, in MWh;

[0166] (5) The upper and lower limit constraints of outbound flow and storage capacity are expressed as:

[0167]

[0168] in, Q it Represents the lower limit of the outflow flow of the ith hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; It represents the upper limit of the outflow of the ith hydropower station at time step t, in m 3 / s; V it Represents the lower limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; It represents the upper limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ;

[0169] (6) The formula for expressing power generation is as follows:

[0170]

[0171]

[0172] Among them, η i (·) represents the hydropower conversion efficiency of the i-th hydropower station; represents the water head height of the ith hydropower station at time step t, in m; Represents the maximum power generation flow of the i-th hydropower station, in m 3 / s;f i (·,·) represents a function used to calculate the hydraulic head

[0173] (7) The upper limit of power generation in the first month must be greater than the lower limit constraint

[0174]

[0175] (8) There is a deviation from fairness between individual hydropower plants, with the goal of having the same ratio between the lower limit and the upper limit as their maximum potential gap

[0176]

[0177] Among them, r represents the ratio of the upper and lower limits of the actual power generation capacity of the hydropower station to the upper and lower limits of the potential power generation capacity; It represents the difference between the potential maximum and minimum power generation capacity of hydropower station i.

[0178] It should be noted that the formulas with the same serial number above are the same formula.

[0179] Specifically, the mathematical programming algorithm may be the SOS2 algorithm;

[0180] In the embodiments of the present application, Figure 3 As shown, the SOS2 algorithm includes the following steps:

[0181] According to the storage capacity and outbound storage restrictions of each month in the one-year scheduling period, determine the V and Q interpolation range, and select specific points within the range to make them evenly distributed;

[0182] Generate a 2D grid such as Figure 4 As shown, the power generation corresponding to the grid point is calculated according to the expression;

[0183] For each grid point [V it ,Q it ]Assign weight value;

[0184] Under the SOS2 constraint, a set of weight values ​​is obtained through Gurobi optimization;

[0185] By applying the optimized weight value to each preset power generation grid point, the power generation of reservoir i in time period t is calculated in a linear combination manner;

[0186] Output the optimal solution of the algorithm.

[0187] In the embodiment of the present application, formula (9) is substituted into formula (8) to linearize the expression of power generation:

[0188]

[0189] Among them, the average storage capacity is:

[0190]

[0191] Constraints (8) and (9) are equivalent to (13) and (14):

[0192]

[0193] in, represents the average storage capacity of hydropower station i in time period t, g i (·) represents the power generation function after linearization.

[0194] In the embodiment of the present application, the linearization can be performed by grid interpolation to obtain

[0195] After selecting the grid points, a two-dimensional grid is generated in sequence, and each grid point has its corresponding value:

[0196]

[0197] in, represents the upper and lower limits of the power generation corresponding to the kth row and lth column of reservoir i in the grid interpolation, represents the storage capacity value corresponding to the kth row of reservoir i in the grid interpolation, represents the outflow value corresponding to the l-th row of the grid interpolation of reservoir i; k represents the k-th row of the grid interpolation, K represents the last row of the grid interpolation; l represents the l-th column of the grid interpolation, and L represents the last column of the grid interpolation; It represents the weight value corresponding to the kth row and lth column in the grid interpolation of reservoir i at time period t.

[0198] In another possible implementation, the mathematical programming algorithm may also be an SLP algorithm;

[0199] In another possible implementation, Figure 5 As shown, the SLP algorithm includes the following steps:

[0200] Determine the initial water head based on historical data (mainly storage capacity and outflow flow).

[0201] After determining the initial water head, bring it into the model for iteration.

[0202] Set the convergence condition to determine whether the water head converges.

[0203] If converged, the result can be directly output as the optimal solution; if not converged, the updated water head will be returned to the iteration and convergence steps.

[0204] Furthermore, the initial water head is determined based on historical data (mainly storage capacity and outflow flow), corresponding to the number of iterations k = 0:

[0205]

[0206] By linearizing constraint (8), the model can be converted into an LP problem, and then the storage capacity and outbound flow are continuously updated according to the storage capacity and outbound flow in the previous iteration results:

[0207]

[0208] According to constraint (18), the water head can be continuously updated until the absolute value of the water head difference between two iterations is no greater than the set convergence value (δ):

[0209]

[0210] It should be noted that the mathematical programming algorithm involved in the present invention can be a special ordered sets 2 (SOS2) algorithm of the second type or a successive linear programming (SLP) algorithm, both of which are used to linearize the power generation expression, and finally obtain a mixed integer linear programming problem (MILP) or a linear programming problem (LP), and then solve the model with the help of the Gurobi solver.

[0211] S5: Based on the linear optimization problem, solve the optimization model of the boundary of the actual dispatching power generation capacity of the hydropower station, and output the upper and lower limits of the power generation capacity of the hydropower station in the first month of the dispatching period, which will serve as the basis for the upper and lower limits of the power that can be reported when the power grid sets up hydropower stations to participate in the power market.

[0212] It should be noted that Figure 2 is the main flow chart of the present invention. The present invention mainly includes three models. First, in Model 1 (minimum potential power generation capacity model) and Model 2 (maximum potential power generation capacity model), the power generation capacity of the hydropower station itself is focused on. On the basis of the traditional medium- and long-term scheduling of cascade hydropower stations, the constraints such as the contractual electricity volume that hydropower needs to bear when participating in the power market are considered. By adopting the second type of special ordered sets (Special Ordered Sets 2, SOS2) or successive linear programming (SLP) method, the expression of power generation is linearized, and finally a mixed integer linear programming (Mixed Integer Linear Programming, MILP) or linear programming problem (Linear Programming, LP) is obtained. The linearized power generation expression is brought into the two models to respectively calculate the potential minimum and maximum power generation capacities of the first month during the scheduling period of the hydropower station. Then we can get the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity. The maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity is brought into model 3 (the optimization model of the actual dispatching power generation capacity boundary of the hydropower station) as a parameter, and other relevant constraints of the medium- and long-term dispatching of the hydropower station are comprehensively considered. The expression of power generation is linearized by adopting the second type of special ordered sets (Special Ordered Sets 2, SOS2) or successive linear programming (SLP) method, and finally a mixed integer linear programming (Mixed Integer Linear Programming, MILP) or linear programming problem (Linear Programming, LP) is obtained. The upper and lower limits of the power generation capacity of the hydropower station in the first month of the dispatching period are calculated for model 3. It serves as the basis for declaring upper and lower limits of electricity quantity when the power grid sets up hydropower stations to participate in the electricity market.

[0213] It should be noted that the present invention takes into account the phenomenon that when hydropower stations participate in the electricity market, they may report too much or too little electricity due to factors such as electricity price fluctuations. On the basis of the traditional medium- and long-term scheduling of cascade hydropower stations, the present invention explores the potential upper and lower limits of the power generation capacity of the hydropower stations. Based on this, from the perspective of the power grid, reasonable upper and lower limits of the electricity that can be reported are set for the hydropower stations when they participate in the electricity market to avoid the phenomenon of improper reporting of electricity.

[0214] This embodiment also provides a system for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model, including:

[0215] The linearization module is used to linearize the expression of power generation based on the contractual power constraints of hydropower participating in the power market through mathematical programming algorithms to obtain the expression of linearized power generation;

[0216] A solution module is used to bring the linearized power generation expression into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and determine the potential minimum and maximum power generation capacities of the first month of the hydropower station scheduling period by solving the linear optimization problem;

[0217] A comparison module is used to obtain the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity by comparing the potential minimum and maximum power generation capacities in the first month of the hydropower station's dispatch period;

[0218] An input module is used to input other constraints of the medium- and long-term dispatch of the hydropower station and the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity as parameters into the actual dispatch power generation capacity boundary optimization model of the hydropower station, and linearize the power generation expression and all constraints in the actual dispatch power generation capacity boundary optimization model of the hydropower station through a mathematical programming algorithm to form a linear optimization problem;

[0219] The output module is used to solve the boundary optimization model of the actual dispatching power generation capacity of the hydropower station based on the linear optimization problem, and output the upper and lower limits of the power generation capacity of the hydropower station in the first month during the dispatch period, which serves as the basis for the upper and lower limits of the power that can be declared when the power grid sets up hydropower stations to participate in the power market.

[0220] Furthermore, it also includes:

[0221] Memory, used to store programs;

[0222] A processor is used to load the program to execute the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model.

[0223] This embodiment also provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model.

[0224] The storage medium proposed in this embodiment and the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0225] Through the above description of the implementation mode, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation mode. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0226] Example 2

[0227] Reference Figure 2-4 and Figure 6 Tables 1-3 are an embodiment of the present invention, which provides a method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model. In order to verify its beneficial effects, scientific demonstration is carried out through specific implementation methods and implementation results.

[0228] The present embodiment is as follows:

[0229] Data preparation:

[0230] This embodiment involves four power stations in the Lancang River Basin, namely Xiaowan, Manwan, Dachaoshan and Nuozhadu. The basic parameters of the four power stations are shown in Table 1.

[0231] Table 1 Hydropower station parameters

[0232]

[0233] Example analysis:

[0234] The hydraulic connections between the four reservoirs involved in this example are as follows: Figure 6 As shown, from top to bottom they are Xiaowan, Manwan, Dachaoshan and Nuozhadu, which are recorded as reservoir #1, #2, #3 and #4 respectively.

[0235] The algorithms involved in this embodiment are all written in Python on PyCharm Community Edition 2022.2.2, run in the Intel Core i7-8750H computer environment, and use Gurobi 9.5.2 as the solver.

[0236] After the model is built, Figure 2 The solution process and Figure 3 or Figure 4 The algorithm process is solved successively, and the commercial solver Gurobi is called as the solving tool. When the Gap value reaches the set value, it is converged, the search is stopped, and the optimal solution is output as the upper and lower limits of the electricity that can be reported by the hydropower station, providing a basis for setting upper and lower limits for the power grid.

[0237] When the target weight value W=1000, the results are shown in Table 2.

[0238] Table 2 Results of upper and lower limits of hydropower station power generation capacity

[0239]

[0240] When the weight value changes, the result will also change accordingly. Taking Xiaowan as an example, Table 3 summarizes the upper and lower limits of the electricity that can be reported by hydropower stations that can be set by the power grid when the weight value takes different magnitudes.

[0241] Table 3 Results corresponding to different weight values ​​under Xiaowan SOS2 algorithm

[0242]

[0243] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model, characterized in that: include: Based on the contractual quantity constraints of hydropower participating in the electricity market, the expression of power generation is linearized through mathematical programming algorithm to obtain the linearized expression of power generation; The linearized power generation expression is introduced into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and the minimum and maximum potential power generation capacities of the hydropower station in the first month of the dispatch period are determined by solving the linear optimization problem. By comparing the potential minimum and maximum power generation capacities of the hydropower station in the first month of the dispatch period, the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity is obtained; Other constraints for medium- and long-term dispatch of hydropower stations and the maximum potential gap between the upper and lower limits of the power generation capacity of the hydropower station are input as parameters into the optimization model of the actual dispatch power generation capacity boundary of the hydropower station. The power generation expression and all constraints in the optimization model of the actual dispatch power generation capacity boundary of the hydropower station are linearized through the mathematical programming algorithm to form a linear optimization problem. Based on the linear optimization problem, the optimization model of the boundary of the actual dispatching power generation capacity of the hydropower station is solved, and the upper and lower limits of the power generation capacity in the first month of the hydropower station dispatch period are output as the basis for the upper and lower limits of the power that can be reported when the power grid sets up hydropower stations to participate in the power market.

2. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 1 is characterized in that: The minimum potential power generation capacity model includes an objective function and constraint conditions; The objective function of the minimum potential power generation capacity model is expressed as: my E i0，0 Among them, min E i0，0 It represents minimizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

3. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 1 or 2, characterized in that: The constraints of the minimum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity and power generation expression; The water balance constraint is expressed as: in, Represents the storage capacity of the i-th hydropower station at time step t+1, in hm 3 ; represents the storage capacity of the i-th hydropower station at time step t; I i , t represents the natural water inflow of the ith hydropower station at time step t, in m 3 / s; It represents the water flow of the kth hydropower station directly connected to the ith hydropower station at time step t, in m 3 / s; It represents the total water inflow of all hydropower stations directly connected to the i-th hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; Δt represents the time step, the unit is hour h; The contractual power constraint is expressed as: in, represents the power generation of the ith hydropower station at time step t, in MWh; C i represents the contracted electricity volume during the dispatch period of the i-th power station, in MWh; represents a summation symbol, meaning that from time step t = O to t = T-1 for all To accumulate; The minimum guaranteed power generation constraint is expressed as: in, represents a summation symbol, which means that from the 1st hydropower station to the Nth hydropower station, all Accumulate; F t represents the minimum guaranteed electricity that all hydropower plants must jointly produce at time step t, in MWh; The minimum power generation constraint is expressed as: in, E it represents the minimum power generation of the ith hydropower station at time step t, in MWh; The outbound flow and storage capacity upper and lower limit constraints are expressed as: in, Q it Represents the lower limit of the outflow flow of the ith hydropower station at time step t, in m 3 / s; represents the outflow of the ith hydropower station at time step t, in m 3 / s; It represents the upper limit of the outflow of the ith hydropower station at time step t, in m 3 / s; V it Represents the lower limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; It represents the upper limit of the storage capacity of the ith hydropower station at time step t, in hm 3 ; The formula for expressing the power generation is as follows: Among them, η i (·) represents the hydropower conversion efficiency of the i-th hydropower station; represents the water head height of the ith hydropower station at time step t, in m; Represents the maximum power generation flow of the i-th hydropower station, in m 3 / s;f i (·,·) represents a function used to calculate the hydraulic head 4. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 3 is characterized by: The maximum potential power generation capacity model includes an objective function and constraints; the constraints of the maximum potential power generation capacity model include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity and power generation expression; The objective function of the maximum potential power generation capacity model is expressed as: max E i0,0 Among them, max E i，0，0 It represents maximizing the power generation of the i-th hydropower station in the starting month of the scheduling period.

5. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 4 is characterized by: The actual dispatching power generation capacity boundary optimization model of the hydropower station includes an objective function and constraints; the constraints include water balance constraints, contract power constraints, minimum guaranteed power generation constraints, minimum power generation constraints, outflow flow, upper and lower limit constraints of storage capacity, power generation expression, first month power generation upper limit must be greater than lower limit constraints and fairness deviation constraints; The objective function of the actual dispatching power generation capacity boundary optimization model of the hydropower station is expressed as: in, represents the minimization operation on the storage capacity V and the outbound flow Q; W represents the target weight; nr i and pr i represents the negative and positive deviations of the ith hydropower station relative to the fair expectation; and It represents the lower and upper limits of the power generation capacity of the i-th hydropower station in the first month of the dispatch period, in MWh.

6. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 5, characterized in that: The mathematical programming algorithm includes the SOS2 algorithm; The SOS2 algorithm comprises the following steps: According to the storage capacity and outbound storage restrictions of each month in the one-year scheduling period, determine the V and Q interpolation range, and select specific points within the range to make them evenly distributed; Generate a two-dimensional grid and calculate the power generation corresponding to the grid point according to the expression; For each grid point [V it , Q it ]Assign weight value; Under the SOS2 constraint, a set of weight values ​​is obtained through Gurobi optimization; By applying the optimized weight value to each preset power generation grid point, the power generation of reservoir i in time period t is calculated in a linear combination manner; Output the optimal solution of the algorithm; The two-dimensional grid is generated, and the power generation corresponding to the grid point is calculated according to the expression as follows: in, represents the upper and lower limits of the power generation corresponding to the kth row and lth column of reservoir i in the grid interpolation, represents the storage capacity value corresponding to the kth row of reservoir i in the grid interpolation, Represents the outflow value corresponding to the first row of the grid interpolation for reservoir i; The optimized weight value is applied to each preset power generation grid point, and the power generation of reservoir i in time period t is calculated in a linear combination manner as follows: Among them, k represents the kth row of the grid interpolation, l represents the first column of the grid interpolation, It represents the weight value corresponding to the kth row and the first column in the grid interpolation of reservoir i at time period t.

7. The method for determining the upper and lower limits of the electricity quantity that can be reported by a hydropower station based on a cascade reservoir scheduling model as claimed in claim 6 is characterized by: The expression of power generation is linearized by a mathematical programming algorithm to obtain the expression of power generation after linearization, and the formula is as follows: in, represents the average value of the reservoir capacity of hydropower station i in time period t, and gi(·) represents the power generation function after linearization.

8. A system based on the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on the cascade reservoir scheduling model according to claim 1, characterized in that: The linearization module is used to linearize the expression of power generation based on the contractual power constraints of hydropower participating in the power market through mathematical programming algorithms to obtain the expression of linearized power generation; A solution module is used to bring the linearized power generation expression into the minimum potential power generation capacity model and the maximum potential power generation capacity model, and determine the potential minimum and maximum power generation capacities of the first month of the hydropower station scheduling period by solving the linear optimization problem; A comparison module is used to obtain the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity by comparing the potential minimum and maximum power generation capacities in the first month of the hydropower station's dispatch period; An input module is used to input other constraints of the medium- and long-term dispatch of the hydropower station and the maximum potential gap between the upper and lower limits of the hydropower station's power generation capacity as parameters into the actual dispatch power generation capacity boundary optimization model of the hydropower station, and linearize the power generation expression and all constraints in the actual dispatch power generation capacity boundary optimization model of the hydropower station through a mathematical programming algorithm to form a linear optimization problem; The output module is used to solve the boundary optimization model of the actual dispatching power generation capacity of the hydropower station based on the linear optimization problem, and output the upper and lower limits of the power generation capacity of the hydropower station in the first month during the dispatch period, which serves as the basis for the upper and lower limits of the power that can be declared when the power grid sets up hydropower stations to participate in the power market.

9. An electronic device, characterized in that: include: Memory, used to store programs; A processor is used to load the program to execute the steps of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a program, characterized in that: When the program is executed by the processor, the steps of the method for determining the upper and lower limits of the electricity that can be reported by a hydropower station based on a cascade reservoir scheduling model as described in any one of claims 1 to 7 are implemented.

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