Water-light cooperative power generation scheduling optimization method and system considering cascade abandoned water

Abstract

The invention provides a water-light cooperative power generation scheduling optimization method and system considering cascade abandoned water, and the method comprises the steps: constructing a target function which comprises a power generation income term, a power grid stability penalty term and a hydropower station safety penalty term, and taking a maximized target function value as an optimization target; calling a pre-received scene classification rule, and determining a current operation scene according to the safety coefficient and the photovoltaic permeability of the hydropower station reservoir at the starting moment of the scheduling period; and according to a mapping relation between a pre-constructed operation scene and an optimization solution method, solving the target function by using the optimization solution method corresponding to the current operation function, and obtaining the power generation flow and the abandoned water flow of each cascade reservoir in the scheduling period and the actual network power of each photovoltaic power station. The power generation dispatching method for enabling the hydropower station to cooperate with the new energy in consideration of new energy permeation is realized.

Description

Technical Field

[0001] This invention relates to the field of power grid dispatching technology, and in particular to a method and system for optimizing the dispatching of hydro-solar power generation that takes into account cascade water wastage. Background Technology

[0002] During the rainy season, abundant runoff in river basins can lead to water wastage at cascade hydropower stations, even when operating at full capacity, resulting in water waste. Meanwhile, the continuous growth in installed capacity of new energy sources, particularly photovoltaics, poses challenges to the stable operation of the power grid due to the intermittent and fluctuating nature of their power output.

[0003] When cascade hydropower stations are in a state of water abandonment, if a day with a large photovoltaic power generation occurs, the power grid will usually control the hydropower stations to reduce their output in order to prioritize the consumption of photovoltaic power with zero marginal cost. This reduces the amount of hydropower generated on the one hand, and on the other hand, the sudden reduction in downstream flow may exacerbate the water abandonment phenomenon in upstream reservoirs, ultimately creating a problem of energy waste caused by being forced to consume new energy sources. Summary of the Invention

[0004] This invention provides a method and system for optimizing the scheduling of hydropower and solar power generation that takes into account the cascade water wastage, in order to solve the defect in the prior art that the need to absorb new energy sources leads to the waste of another type of energy, and realizes a method for scheduling power generation that enables hydropower stations to coordinate with new energy sources.

[0005] This invention provides a method for optimizing the scheduling of hydro-solar power generation considering cascade water wastage, comprising: A target function is constructed, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with maximizing the target function value as the optimization objective. The pre-received scenario classification rules are invoked to determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; Based on the pre-built mapping relationship between the operating scenario and the optimization solution method, the objective function is solved using the optimization solution method corresponding to the current operating function, so as to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

[0006] According to the present invention, a hydro-solar power generation scheduling optimization method considering cascade water wastage is provided, wherein the grid stability penalty term is the total number of scheduling periods within the scheduling period. The sum of products of time intervals, Calculate according to the following formula: ; In the formula, and The penalty coefficient is... For the power grid during the dispatch period t Average photovoltaic penetration rate within the area The maximum photovoltaic penetration rate allowed by the power grid. This represents the average photovoltaic penetration rate of the power grid during the previous dispatch period.

[0007] According to the present invention, a hydro-solar power generation scheduling optimization method considering cascade water wastage is provided, wherein the hydropower station safety penalty item is the total number of scheduling periods within the scheduling period. The sum of products of time intervals, Calculate according to the following formula: ; In the formula, , and These are the weighting coefficients. N For the number of hydroelectric power stations, For hydroelectric power station i The reservoir is t The amount of water discharged during a given period For hydroelectric power station i During the reservoir's scheduling period t The safety factor of the cascade reservoirs, For the safety factor threshold, Indicates hydroelectric power station i During the reservoir's scheduling period t Storage capacity, Indicates hydroelectric power station i The flood control limit capacity of the reservoir, Indicates hydroelectric power station i The critical safe storage capacity of a reservoir.

[0008] According to the present invention, a hydro-solar power generation scheduling optimization method considering cascade water wastage is provided, wherein the power generation revenue item is determined based on the reservoir power generation, photovoltaic power generation, and the hydropower grid-connected price and photovoltaic grid-connected price for each scheduling period.

[0009] According to the present invention, a hydro-solar power generation scheduling optimization method considering cascade water wastage is provided. The constraints used to solve the objective function include: water balance constraints, reservoir capacity constraints, flow constraints, and output constraints; power grid power balance constraints, reserve capacity constraints, and ramping constraints; and permeability constraints characterizing safe operation.

[0010] According to the present invention, a hydro-solar power generation scheduling optimization method considering cascade water wastage is provided, wherein the scenario classification rule is as follows: If the safety factor of all reservoirs in the cascade hydropower stations is greater than the first hydropower safety threshold at the start of the scheduling period, and the photovoltaic penetration rate of all photovoltaic power stations is less than the first photovoltaic safety threshold, the operation scenario is determined as the normal scenario. If the safety of any reservoir of any hydropower station in the cascade is less than or equal to the first hydropower safety threshold and not less than the second hydropower safety threshold at the start of the scheduling period, or if the photovoltaic penetration rate of any photovoltaic power station is not less than the first photovoltaic safety threshold and not greater than the second photovoltaic safety threshold, the operation scenario will be determined as an early warning scenario. Otherwise, the scenario will be classified as an emergency scenario.

[0011] This invention also provides a hydro-solar power generation scheduling optimization system considering cascade water wastage, comprising: A construction module is used to construct an objective function, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with the goal of maximizing the objective function value. The selection module is used to call the pre-received scenario classification rules and determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period. The output module is used to solve the objective function using the optimization solution method corresponding to the current running function based on the pre-built mapping relationship between the running scenario and the optimization solution method, so as to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the hydro-solar co-generation scheduling optimization method considering cascade water wastage as described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the hydro-solar co-generation scheduling optimization method considering cascade water wastage as described above.

[0014] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the hydro-solar co-generation scheduling optimization method considering cascade water wastage as described above.

[0015] This invention provides a method and system for optimizing the scheduling of hydropower and solar power generation considering cascade water wastage. By constructing a comprehensive objective function that considers the overall economic benefits, grid security after the penetration of new energy sources, and reservoir security, the scheduling contradictions of hydropower and solar power under sudden rainy seasons and large-scale photovoltaic power generation are quantified. The safety of the scenario is evaluated by real-time data from cascade reservoirs, and the weight coefficients of the penalty terms and the solution algorithm are automatically matched to quickly obtain the most economical grid scheduling scheme while ensuring the safety of reservoirs and grids as much as possible. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is one of the flowcharts of the hydro-solar power generation scheduling optimization method considering cascade water wastage provided by the present invention; Figure 2 This is a schematic diagram of the hydro-solar power generation scheduling optimization system considering cascade water wastage provided by the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] The following is combined with Figure 1 This invention introduces a hydro-solar power generation scheduling optimization method that considers cascaded water wastage, such as... Figure 1 As shown, it includes: Step 101: Construct an objective function, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with maximizing the objective function value as the optimization objective. During periods when cascade hydropower stations are already in the process of releasing water, the sudden increase in photovoltaic power necessitates further reductions in the outflow from the hydropower stations. This will also decrease the inflow to nearby downstream cascade hydropower stations, potentially disrupting their original water balance and forcing downstream stations to increase their water release. Alternatively, it may cause upstream stations to be unable to absorb the reservoir capacity due to reduced power generation, forcing them to increase their own water release. Therefore, this implementation method constructs and solves an objective function to optimize the overall energy efficiency and economic benefits of the system.

[0020] Although some methods for grid regulation involving hydro-solar synergy exist, these methods typically only consider the impact of hydro-solar synergy on cascade reservoir water levels and water discharge. However, as a new energy generation method lacking inertia, the large-scale integration of photovoltaic power into the grid can lead to a decrease in the overall inertia of the grid, affecting grid stability.

[0021] Therefore, the objective function in this embodiment includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, in order to achieve a power grid control method with optimal economic benefits while ensuring the safe operation of hydropower stations and power grids.

[0022] Among them, the power generation revenue item represents the total revenue of hydropower and photovoltaic power generation during the dispatch period; the grid penalty item is constructed based on the photovoltaic penetration rate and is used to penalize the impact of excessive photovoltaic penetration rate on grid stability; the hydropower station safety penalty item is constructed based on the reservoir water level and water discharge flow during each dispatch period and is used to adjust the balance between reservoir safety and water discharge rate.

[0023] Optionally, the objective function constructed in this embodiment is as follows: ; In the formula, J represents the overall objective. This refers to the length of a scheduling period within the scheduling period. For power generation revenue, it represents the total power generation revenue for all scheduling periods within scheduling period T; As a penalty item for power grid stability, This is a safety penalty item for hydropower stations; and These are the adjustment coefficients for the power grid stability penalty and the hydropower station safety penalty, respectively.

[0024] In a preferred embodiment Calculate according to the following formula: ; In the formula, and The penalty coefficient is... For the power grid during the dispatch period t Average photovoltaic penetration rate within the area The maximum photovoltaic penetration rate allowed by the power grid. This represents the average photovoltaic penetration rate of the power grid during the previous dispatch period.

[0025] Optionally, the maximum permissible photovoltaic penetration rate of the power grid is determined based on simulations of the grid's own stability constraints. The dimensions of the penalty coefficient need to be related to the time period. Coordination. When t When it is 1, Defined as the photovoltaic penetration rate at the initial moment of the scheduling period.

[0026] in, Defined as: ; In the formula, and These represent the average power output (kW) of the photovoltaic power station and the hydropower of the i-th hydropower station in the cascade during the scheduling period t, respectively.

[0027] In this way, grid penalties are imposed on dispatch schemes with photovoltaic penetration rates higher than the maximum photovoltaic penetration rate and those with large fluctuations in grid photovoltaic penetration rates.

[0028] In a preferred embodiment Calculate according to the following formula: ; In the formula, , and These are the weighting coefficients. N For the number of hydroelectric power stations, For hydroelectric power station i The reservoir is t The amount of water discharged during a given period For hydroelectric power station i During the reservoir's scheduling period t The safety factor of the cascade reservoirs, For the safety factor threshold, Indicates hydroelectric power station i During the reservoir's scheduling period t Storage capacity, Indicates hydroelectric power station i The flood control limit capacity of the reservoir, Indicates hydroelectric power station i The critical safe storage capacity of a reservoir.

[0029] The first term in the above formula represents the linear water abandonment penalty, which is used to penalize scheduling schemes with large water abandonment flows; the second term is the safety margin insufficient penalty, which is used to penalize situations where the safety factor is lower than the safety factor threshold.

[0030] The safety factor of a hydropower station reservoir is defined as follows: ; That is, the reservoir with the smallest safety factor among the cascade reservoirs is used as the basis for calculating the insufficient safety margin penalty, and its flood control capacity is calculated. and t Real-time warehouse capacity by time period The first difference is used to calculate the difference between the flood control limit capacity and the minimum allowable capacity. The second difference is used to calculate the ratio of the first difference to the second difference, which is then used as the safety factor for the cascade reservoir.

[0031] The third item is a non-linear penalty for approaching the flood limit, which causes the penalty to increase sharply as the reservoir water level gets closer to the flood limit.

[0032] Optionally, when configuring weighting coefficients, make To ensure the safety of the solution process, priority is given to safety.

[0033] In a preferred embodiment Calculate according to the following formula: ; In the formula, the first term represents the hydropower generation efficiency. For hydroelectric power station i exist t Power generation during the period for t The second item represents the on-grid electricity price for hydropower during certain periods; the third item represents the efficiency of photovoltaic power generation. For photovoltaic power stations t Actual power consumption during the time period for t The third item is the time-limited photovoltaic feed-in tariff; the fourth item is the opportunity cost of curtailment. The unit wastelight loss factor, The maximum theoretical output of the photovoltaic power station during time period t is determined based on irradiance, temperature, and photovoltaic capacity: .

[0034] in, According to the hydropower station t Determining the water head for a given time period: ; In the formula, It is the acceleration due to gravity. For the density of water, For hydroelectric power station i Energy conversion efficiency, For hydroelectric power station i exist t Average net head of water generated during the period For hydroelectric power station i exist t Power generation flow during a given time period.

[0035] in, It is determined based on the average reservoir capacity during time period t and the reservoir's water level-capacity curve.

[0036] Step 102: Invoke the pre-received scenario classification rules and determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

[0037] In this implementation, the operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios, so as to determine the optimization method for solving the objective function, as well as the adjustment coefficients of the power grid stability penalty term and the hydropower station safety penalty term, based on the actual state of the cascade reservoirs before the scheduling period.

[0038] Specifically, normal, early warning, and emergency scenarios indicate that the water levels in the cascade reservoirs are gradually approaching the flood control limit, requiring the prompt determination and implementation of a scheduling plan. At the same time, the safety requirements of these scenarios are also gradually increasing.

[0039] Optionally, the scenario classification rules can be defined based on the minimum difference between the real-time water level and the flood control limit water level in the cascade reservoirs at the initial moment of the scheduling period.

[0040] In a preferred embodiment, the scene classification rule is as follows: If the safety factor of all reservoirs in the cascade hydropower stations is greater than the first hydropower safety threshold at the start of the scheduling period, and the photovoltaic penetration rate of all photovoltaic power stations is less than the first photovoltaic safety threshold, the operation scenario is determined as the normal scenario. If the safety of any reservoir of any hydropower station in the cascade is less than or equal to the first hydropower safety threshold and not less than the second hydropower safety threshold at the start of the scheduling period, or if the photovoltaic penetration rate of any photovoltaic power station is not less than the first photovoltaic safety threshold and not greater than the second photovoltaic safety threshold, the operation scenario will be determined as an early warning scenario. Otherwise, the scenario will be classified as an emergency scenario.

[0041] Optionally, the first hydropower safety threshold and the second hydropower safety threshold are determined according to the calculation method of the safety factor; the first photovoltaic safety threshold and the second photovoltaic safety threshold are determined according to the grid stability.

[0042] In this embodiment, the first hydropower safety threshold is configured as 0.3, the first photovoltaic safety threshold is configured as 0.25, the second hydropower safety threshold is configured as 0.1, and the second photovoltaic safety threshold is configured as 0.35.

[0043] Using the above methods, a situation where the hydropower station is safe and the photovoltaic penetration rate is low is defined as a normal scenario; when either the hydropower station's safety or the photovoltaic penetration rate is close to the warning state, it is defined as a warning scenario; and when either the hydropower station's safety or the photovoltaic penetration rate is in the warning state, it is defined as an emergency scenario.

[0044] Optionally, the first type of optimization solution method is the MINLP solver, and the second type of optimization solution method is the PSO algorithm. Based on this, the first type of optimization solution method finds a mathematically provable global optimal solution, but it takes a long time. During the normal period of the autumn rains in western China, the first type of optimization solution method can be used to obtain the optimal scheduling scheme. The second type of optimization solution method, on the other hand, can quickly find a better solution in a short time to deal with emergencies such as upcoming upstream water flow or photovoltaic penetration exceeding a threshold.

[0045] Furthermore, configuration can be tailored to the specific operational scenario. and .

[0046] In one feasible implementation, multiple sets of data are systematically traversed in an offline environment based on historical hydrological and photovoltaic data. and The values ​​of are used to solve the optimization model under each set of weights, obtaining the corresponding safety scores and economic benefits data points, which are then plotted in a two-dimensional coordinate system. The outer boundary of this plot constitutes the Pareto front. Based on engineering experience, for each type of operational scenario, this implementation selects the most suitable trade-off point on the front for normal, early warning, and emergency scenarios, and assigns a set of weights to this point. and The value is used as the value corresponding to the scenario and is pre-configured in the system.

[0047] Step 103: Based on the pre-built mapping relationship between the operating scenario and the optimization solution method, use the optimization solution method corresponding to the current operating function to solve the objective function, and obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. After determining the current operational scenario based on the initial state during the cascade reservoir scheduling period, the pre-configured [system / mechanism] can be directly invoked. and The value of is determined, and the optimization algorithm used for solving it is determined.

[0048] By using the corresponding optimization algorithm to solve the objective function after determining the parameters, the results of each cascade reservoir's performance in each scheduling period can be obtained. t Power generation flow Discharge flow rate and the actual grid-connected power of photovoltaic power plants This serves as the obtained scheduling scheme.

[0049] This invention quantifies the scheduling contradictions between hydropower and photovoltaic power under sudden rainy seasons and large-scale photovoltaic power generation by constructing a comprehensive objective function that considers the overall economic benefits, grid security after the penetration of new energy sources, and reservoir security. It also assesses the scenario security through real-time data from cascade reservoirs, automatically matches the weight coefficients of the penalty term and the solution algorithm, and quickly obtains the most economical grid scheduling scheme while ensuring the safety of reservoirs and grids as much as possible.

[0050] In the hydro-solar power generation scheduling optimization method considering cascade water wastage in this invention, the constraints used to solve the objective function include: water balance constraints, reservoir capacity constraints, flow constraints, and output constraints; power grid power balance constraints, reserve capacity constraints, and ramping constraints; and permeability constraints characterizing safe operation.

[0051] In this embodiment, the water balance constraint is configured as follows for each reservoir and each scheduling period of the cascade hydropower station: ; That is, the downstream reservoir t +1 time period storage capacity According to its own t Time Period Storage Capacity , t Natural inflow during the period , t -1 time period t The power generation flow and water discharge flow of the upstream reservoir during the specified time period were determined.

[0052] The reservoir's capacity constraint configuration is as follows: ; That is, the reservoir water level shall not exceed its minimum and maximum allowable water levels during each scheduling period.

[0053] Traffic constraints are configured as follows: ; That is, the power generation flow and water discharge flow during each scheduling period shall not exceed the maximum allowable range of the hydropower station itself.

[0054] The output constraint configuration is as follows: ; That is, the actual output of both hydropower stations and photovoltaic power stations does not exceed the maximum range allowed by their respective unit technologies.

[0055] The power balance constraint configuration of the power grid is as follows: ; In the formula, This indicates the total load constraint of the system during time period t, meaning that the sum of the loads of hydropower and photovoltaic power generation during the dispatch period does not exceed the total load that the power grid can withstand.

[0056] The standby capacity constraint is configured as follows: ; In the formula, The required upward reserve for scheduling period t.

[0057] The ramp constraint configuration is as follows: ; That is, the difference between the output of the turbine units of a hydropower station in the current period and the output in the previous period cannot exceed the lower and upper limits of its ramp rate.

[0058] The penetration rate constraint is: ; In the formula, This is the absolute limit of permeability that must not be exceeded.

[0059] The following describes the hydro-solar co-generation scheduling optimization system considering cascade water wastage provided by the present invention. The hydro-solar co-generation scheduling optimization system considering cascade water wastage described below can be referred to in correspondence with the hydro-solar co-generation scheduling optimization method considering cascade water wastage described above.

[0060] like Figure 2 As shown, the hydro-solar co-generation scheduling optimization system considering cascade water wastage in this invention includes a construction module 201, a selection module 202, and an output module 203. Construction module 201 is used to construct an objective function, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with maximizing the objective function value as the optimization objective. During periods when cascade hydropower stations are already in the process of releasing water, the sudden increase in photovoltaic power necessitates further reductions in the outflow from the hydropower stations. This will also decrease the inflow to nearby downstream cascade hydropower stations, potentially disrupting their original water balance and forcing downstream stations to increase their water release. Alternatively, it may cause upstream stations to be unable to absorb the reservoir capacity due to reduced power generation, forcing them to increase their own water release. Therefore, this implementation method constructs and solves an objective function to optimize the overall energy efficiency and economic benefits of the system.

[0061] Although some methods for grid regulation involving hydro-solar synergy exist, these methods typically only consider the impact of hydro-solar synergy on cascade reservoir water levels and water discharge. However, as a new energy generation method lacking inertia, the large-scale integration of photovoltaic power into the grid can lead to a decrease in the overall inertia of the grid, affecting grid stability.

[0062] Therefore, the objective function in this embodiment includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, in order to achieve a power grid control method with optimal economic benefits while ensuring the safe operation of hydropower stations and power grids.

[0063] Among them, the power generation revenue item represents the total revenue of hydropower and photovoltaic power generation during the dispatch period; the grid penalty item is constructed based on the photovoltaic penetration rate and is used to penalize the impact of excessive photovoltaic penetration rate on grid stability; the hydropower station safety penalty item is constructed based on the reservoir water level and water discharge flow during each dispatch period and is used to adjust the balance between reservoir safety and water discharge rate.

[0064] Select module 202 is used to call the pre-received scenario classification rules and determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; In this implementation, the operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios, so as to determine the optimization method for solving the objective function, as well as the adjustment coefficients of the power grid stability penalty term and the hydropower station safety penalty term, based on the actual state of the cascade reservoirs before the scheduling period.

[0065] Specifically, normal, early warning, and emergency scenarios indicate that the water levels in the cascade reservoirs are gradually approaching the flood control limit, requiring the prompt determination and implementation of a scheduling plan. At the same time, the safety requirements of these scenarios are also gradually increasing.

[0066] Optionally, the scenario classification rules can be defined based on the minimum difference between the real-time water level and the flood control limit water level in the cascade reservoirs at the initial moment of the scheduling period.

[0067] In a preferred embodiment, the scene classification rule is as follows: If the safety factor of all reservoirs in the cascade hydropower stations is greater than the first hydropower safety threshold at the start of the scheduling period, and the photovoltaic penetration rate of all photovoltaic power stations is less than the first photovoltaic safety threshold, the operation scenario is determined as the normal scenario. If the safety of any reservoir of any hydropower station in the cascade is less than or equal to the first hydropower safety threshold and not less than the second hydropower safety threshold at the start of the scheduling period, or if the photovoltaic penetration rate of any photovoltaic power station is not less than the first photovoltaic safety threshold and not greater than the second photovoltaic safety threshold, the operation scenario will be determined as an early warning scenario. Otherwise, the scenario will be classified as an emergency scenario.

[0068] Optionally, the first hydropower safety threshold and the second hydropower safety threshold are determined according to the calculation method of the safety factor; the first photovoltaic safety threshold and the second photovoltaic safety threshold are determined according to the grid stability.

[0069] In this embodiment, the first hydropower safety threshold is configured as 0.3, the first photovoltaic safety threshold is configured as 0.25, the second hydropower safety threshold is configured as 0.1, and the second photovoltaic safety threshold is configured as 0.35.

[0070] Using the above methods, a situation where the hydropower station is safe and the photovoltaic penetration rate is low is defined as a normal scenario; when either the hydropower station's safety or the photovoltaic penetration rate is close to the warning state, it is defined as a warning scenario; and when either the hydropower station's safety or the photovoltaic penetration rate is in the warning state, it is defined as an emergency scenario.

[0071] Optionally, the first type of optimization solution method is the MINLP solver, and the second type of optimization solution method is the PSO algorithm. Based on this, the first type of optimization solution method finds a mathematically provable global optimal solution, but it takes a long time. During the normal period of the autumn rains in western China, the first type of optimization solution method can be used to obtain the optimal scheduling scheme. The second type of optimization solution method, on the other hand, can quickly find a better solution in a short time to deal with emergencies such as upcoming upstream water flow or photovoltaic penetration exceeding a threshold.

[0072] Furthermore, configuration can be tailored to the specific operational scenario. and .

[0073] In one feasible implementation, multiple sets of data are systematically traversed in an offline environment based on historical hydrological and photovoltaic data. and The values ​​of are used to solve the optimization model under each set of weights, obtaining the corresponding safety scores and economic benefits data points, which are then plotted in a two-dimensional coordinate system. The outer boundary of this plot constitutes the Pareto front. Based on engineering experience, for each type of operational scenario, this implementation selects the most suitable trade-off point on the front for normal, early warning, and emergency scenarios, and assigns a set of weights to this point. and The value is used as the value corresponding to the scenario and is pre-configured in the system.

[0074] The output module 203 is used to solve the objective function using the optimization solution method corresponding to the current running function according to the pre-built mapping relationship between the running scenario and the optimization solution method, so as to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

[0075] After determining the current operational scenario based on the initial state during the cascade reservoir scheduling period, the pre-configured [system / mechanism] can be directly invoked. and The value of is determined, and the optimization algorithm used for solving it is determined.

[0076] By using the corresponding optimization algorithm to solve the objective function after determining the parameters, the results of each cascade reservoir's performance in each scheduling period can be obtained. t Power generation flow Discharge flow rate and the actual grid-connected power of photovoltaic power plants This serves as the obtained scheduling scheme.

[0077] This invention quantifies the scheduling contradictions between hydropower and photovoltaic power under sudden rainy seasons and large-scale photovoltaic power generation by constructing a comprehensive objective function that considers the overall economic benefits, grid security after the penetration of new energy sources, and reservoir security. It also assesses the scenario security through real-time data from cascade reservoirs, automatically matches the weight coefficients of the penalty term and the solution algorithm, and quickly obtains the most economical grid scheduling scheme while ensuring the safety of reservoirs and grids as much as possible.

[0078] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call logic instructions in the memory 330 to execute a hydro-solar co-generation scheduling optimization method considering cascade water wastage. This method includes: constructing an objective function, which includes a power generation revenue term, a grid stability penalty term, and a hydropower station safety penalty term, with maximizing the objective function value as the optimization objective; calling pre-received scenario classification rules to determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; solving the objective function using the optimization method corresponding to the current operating function based on the pre-constructed mapping relationship between the operating scenario and the optimization solution method, obtaining the power generation flow and water wastage flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station; wherein the operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, a first type of optimization solution method is used; when the operating scenario is an early warning scenario or an emergency scenario, a second type of optimization solution method is used. The solution speed of the second type of optimization solution method is greater than that of the first type of optimization solution method.

[0079] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0080] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the hydro-solar co-generation scheduling optimization method considering cascade water abandonment provided by the above methods. The method includes: constructing an objective function, which includes a power generation revenue term, a grid stability penalty term, and a hydropower station safety penalty term, with maximizing the objective function value as the optimization objective; calling pre-received scenario classification rules to determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; solving the objective function using the optimization solution method corresponding to the current operating function according to the pre-constructed mapping relationship between the operating scenario and the optimization solution method, to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station; wherein, the operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, a first type of optimization solution method is used; when the operating scenario is an early warning scenario or an emergency scenario, a second type of optimization solution method is used. The solution speed of the second type of optimization solution method is greater than that of the first type of optimization solution method.

[0081] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the above-described hydro-solar power generation scheduling optimization method considering cascade water wastage. The method includes: constructing an objective function, which includes a power generation revenue term, a grid stability penalty term, and a hydropower station safety penalty term, with maximizing the objective function value as the optimization objective; invoking pre-received scenario classification rules to determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; solving the objective function using the optimization solution method corresponding to the current operating function according to the pre-constructed mapping relationship between the operating scenario and the optimization solution method, to obtain the power generation flow and water wastage flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station; wherein the operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios; when the operating scenario is a normal scenario, a first type of optimization solution method is used; when the operating scenario is an early warning scenario or an emergency scenario, a second type of optimization solution method is used; the solution speed of the second type of optimization solution method is greater than that of the first type of optimization solution method.

[0082] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0083] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing the scheduling of hydro-solar power generation considering cascade water wastage, characterized in that, include: A target function is constructed, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with maximizing the target function value as the optimization objective. The pre-received scenario classification rules are invoked to determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period; Based on the pre-built mapping relationship between the operating scenario and the optimization solution method, the objective function is solved using the optimization solution method corresponding to the current operating function, so as to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

2. The hydro-solar power generation scheduling optimization method considering cascade water wastage as described in claim 1, characterized in that, The power grid stability penalty is applied to all scheduling periods within the scheduling period. The sum of products of time intervals, Calculate according to the following formula: ； In the formula, and The penalty coefficient is... For the power grid during the dispatch period t Average photovoltaic penetration rate within the area The maximum photovoltaic penetration rate allowed by the power grid. This represents the average photovoltaic penetration rate of the power grid during the previous dispatch period.

3. The hydro-solar power generation scheduling optimization method considering cascade water wastage as described in claim 1, characterized in that, The safety penalties for the hydropower station apply to all scheduling periods during the scheduling period. The sum of products of time intervals, Calculate according to the following formula: ； In the formula, , and These are the weighting coefficients. N For the number of hydroelectric power stations, For hydroelectric power station i The reservoir is t The amount of water discharged during a given period For hydroelectric power station i During the reservoir's scheduling period t The safety factor of the cascade reservoirs, For the safety factor threshold, Indicates hydroelectric power station i During the reservoir's scheduling period t Storage capacity, Indicates hydroelectric power station i The flood control limit capacity of the reservoir, Indicates hydroelectric power station i The critical safe storage capacity of a reservoir.

4. The hydro-solar power generation scheduling optimization method considering cascade water wastage as described in claim 1, characterized in that, The power generation revenue item is determined based on the reservoir power generation, photovoltaic power generation, and the on-grid electricity price of hydropower and photovoltaic power generation for each scheduling period during the scheduling period.

5. The hydro-solar power generation scheduling optimization method considering cascade water wastage as described in any one of claims 1-4, characterized in that, The constraints used to solve the objective function include: water balance constraints, reservoir capacity constraints, flow constraints, and output constraints; power grid power balance constraints, reserve capacity constraints, and ramping constraints; and permeability constraints characterizing safe operation.

6. The hydro-solar power generation scheduling optimization method considering cascade water wastage as described in any one of claims 1-4, characterized in that, The scene classification rules are as follows: If the safety factor of all reservoirs in the cascade hydropower stations is greater than the first hydropower safety threshold at the start of the scheduling period, and the photovoltaic penetration rate of all photovoltaic power stations is less than the first photovoltaic safety threshold, the operation scenario is determined as the normal scenario. If the safety of any reservoir of any hydropower station in the cascade is less than or equal to the first hydropower safety threshold and not less than the second hydropower safety threshold at the start of the scheduling period, or if the photovoltaic penetration rate of any photovoltaic power station is not less than the first photovoltaic safety threshold and not greater than the second photovoltaic safety threshold, the operation scenario will be determined as an early warning scenario. Otherwise, the scenario will be classified as an emergency scenario.

7. A hydro-solar power generation scheduling optimization system considering cascade water wastage, characterized in that, include: A construction module is used to construct an objective function, which includes a power generation revenue term, a power grid stability penalty term, and a hydropower station safety penalty term, with the goal of maximizing the objective function value. The selection module is used to call the pre-received scenario classification rules and determine the current operating scenario based on the safety factor of the hydropower station reservoir and the photovoltaic penetration rate at the start of the scheduling period. The output module is used to solve the objective function using the optimization solution method corresponding to the current running function based on the pre-built mapping relationship between the running scenario and the optimization solution method, so as to obtain the power generation flow and water abandonment flow of each cascade reservoir during the scheduling period, as well as the actual grid-connected power of each photovoltaic power station. The operating scenarios include normal scenarios, early warning scenarios, and emergency scenarios. When the operating scenario is a normal scenario, the first type of optimized solution method is used. When the operating scenarios are early warning scenarios and emergency scenarios, the second type of optimized solution method is used. The solution speed of the second type of optimized solution method is greater than that of the first type of optimized solution method.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the hydro-solar power generation scheduling optimization method considering cascade water wastage as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the hydro-solar power generation scheduling optimization method considering cascade water wastage as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the hydro-solar power generation scheduling optimization method considering cascade water wastage as described in any one of claims 1 to 6.

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