Multi-level water, wind, light and frequency complementation real-time scheduling and frequency modulation method

Abstract

This invention relates to a multi-level, multi-energy complementary real-time dispatch and frequency regulation method for hydropower, wind power, and solar power. The specific steps include: acquiring the output power of each renewable energy unit in the renewable energy power plant in real time from the upper-level dispatch platform, calculating the active power deviation of the entire power grid at this time, and using the active power deviation as the active power adjustment quota for the hydropower plant. Each renewable energy unit includes load units, wind turbine units, and photovoltaic units. At the intermediate-level centralized control center, based on the active power adjustment quota, an optimal AGC control model for the hydropower plant is constructed with the goal of minimizing water consumption. Real-time operating data of each hydropower plant unit is acquired and input into the optimal AGC control model. Then, a dynamic rule improvement algorithm is used to solve the optimal AGC control model to obtain the optimal active power allocation quota for each hydropower plant unit. Based on the optimal active power allocation quota for each hydropower plant unit, frequency regulation is performed at each turbine unit in the lower-level unit group using a frequency controller.

Description

Technical Field

[0001] This invention relates to the field of energy optimization and scheduling technology, specifically a multi-level, multi-energy complementary real-time scheduling and frequency regulation method for hydropower, wind power, and solar power. Background Technology

[0002] As the proportion of renewable energy generation such as wind and solar power in the power structure increases, their typical randomness, intermittency, and volatility will bring a series of challenges to the operation of the power system. There is an urgent need for other power sources with regulation capabilities, such as hydropower and new energy storage technologies, to operate in conjunction with these sources to mitigate the frequency and voltage fluctuations caused by renewable energy integration into the grid. Currently, there are no effective solutions in the power grid for the frequency and voltage fluctuations caused by renewable energy integration.

[0003] The existing technology CN109787227B, "A Multi-Time Scale Optimization Scheduling Method for Multi-Energy Complementary Systems," proposes a day-ahead scheduling method focusing on wind-solar-gas-storage multi-energy complementary systems. It also introduces intraday rolling and real-time adjustment stages to modify the day-ahead plan. However, the intraday rolling and real-time adjustment stages still use the day-ahead scheduling algorithm, only with a shortened step size. It does not consider the adjustment accuracy and rate requirements of real-time scheduling, and the accuracy of the calculation results may not meet the accuracy and rate requirements of real-time scheduling. The existing technology CN113205250A, "A Method for Compiling Wind-Solar-Hydropower Complementary Generation Plans Considering Reservoir Scheduling Risks," proposes a day-ahead scheduling method for wind-solar-hydro multi-energy complementary systems, but it cannot achieve real-time scheduling. Summary of the Invention

[0004] To address the problems existing in the prior art, this invention proposes a multi-level, multi-energy complementary real-time scheduling and frequency regulation method for water, wind, and solar power.

[0005] The technical solution of the present invention is as follows:

[0006] On the one hand, this invention proposes a multi-level, multi-energy complementary real-time scheduling and frequency regulation method for water, wind, and solar power, the specific steps of which include:

[0007] The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatch platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units.

[0008] Based on the active power adjustment quota in the mid-level centralized control center, the optimal AGC control model of the hydropower plant is constructed with the goal of minimizing water consumption. Real-time operating data of each hydropower plant unit is obtained and input into the optimal AGC control model of the hydropower plant. Then, the optimal AGC control model of the hydropower plant is solved through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit.

[0009] Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

[0010] In a preferred embodiment, the real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

[0011] In a preferred embodiment, the step of calculating the active power deviation of the entire power grid specifically includes:

[0012]

[0013] In the formula, The total active power of the nth new energy power plant in the power grid is obtained based on the output power of each new energy unit in each new energy power plant. Let m be the active load of the m-th area in the power grid.

[0014] In a preferred embodiment, the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption involves constructing an objective function to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows:

[0015]

[0016] In the formula, a, b, and c are the parameters of the water consumption characteristic curve of the hydropower plant; This is the active power allocation for unit i.

[0017] In a preferred embodiment, the constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically:

[0018] The adjustment accuracy constraint is specifically as follows:

[0019]

[0020] In the formula, P set For active power adjustment, The active power allocation for unit i. R represents the active power of unit i at the start of AGC regulation, and R represents the regulation accuracy requirement.

[0021] The adjustment rate constraint is specifically as follows:

[0022]

[0023] In the formula, C iWhere K is the unit capacity and K is the regulation rate index. This is the maximum adjustment time;

[0024] The output limit constraint is specifically as follows:

[0025]

[0026] In the formula, P set Limit the active power of each unit;

[0027] The specific cross-sectional constraint is as follows:

[0028]

[0029] In the formula, P max This represents the maximum active power transmitted across the cross-section.

[0030] The power generation flow constraint is specifically as follows:

[0031] Q i,tmin ≤Q i,t ≤Q i,tmax

[0032] In the formula, Q i,tmin Q represents the minimum flow rate of the i-th hydropower station during time period t. i,tmax Let be the maximum flow rate of the i-th hydropower station during time period t;

[0033] The water balance constraint is specifically as follows:

[0034] V i,t+1 =V i,t +(q i,t + i-1,t -O i,t )Δt

[0035] In the formula, V i,t V i,t+1 O represents the initial and final reservoir storage of the i-th hydropower station during time period t; i,t Let q be the outflow from the reservoir during the i-th hydropower station in time period t; i,t Let be the flow rate between the (i-1)th power station and the ith power station during time period t.

[0036] On the other hand, this invention proposes a multi-level water-wind-solar multi-energy complementary real-time scheduling and frequency regulation system, comprising:

[0037] Active power deviation calculation module: The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatching platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units.

[0038] Active power allocation calculation module: Based on the active power adjustment quota in the intermediate control center, construct the optimal AGC control model of the hydropower plant with the goal of minimizing water consumption, obtain the real-time operation data of each hydropower plant unit and input it into the optimal AGC control model of the hydropower plant, and then solve the optimal AGC control model of the hydropower plant through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit.

[0039] Automatic control and regulation module: Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

[0040] In a preferred embodiment, the real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

[0041] In a preferred embodiment, the step of calculating the active power deviation of the entire power grid specifically includes:

[0042]

[0043] In the formula, The total active power of the nth new energy power plant in the power grid is obtained based on the output power of each new energy unit in each new energy power plant. Let m be the active load of the m-th area in the power grid.

[0044] In a preferred embodiment, the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption involves constructing an objective function to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows:

[0045]

[0046] In the formula, a, b, and c are the parameters of the water consumption characteristic curve of the hydropower plant; This is the active power allocation for unit i.

[0047] In a preferred embodiment, the constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically:

[0048] The adjustment accuracy constraint is specifically as follows:

[0049]

[0050] In the formula, P set For active power adjustment, The active power allocation for unit i. R represents the active power of unit i at the start of AGC regulation, and R represents the regulation accuracy requirement.

[0051] The adjustment rate constraint is specifically as follows:

[0052]

[0053] In the formula, C i Where K is the unit capacity and K is the regulation rate index. This is the maximum adjustment time;

[0054] The output limit constraint is specifically as follows:

[0055]

[0056] In the formula, P set Limit the active power of each unit;

[0057] The specific cross-sectional constraint is as follows:

[0058]

[0059] In the formula, P max This represents the maximum active power transmitted across the cross-section.

[0060] The power generation flow constraint is specifically as follows:

[0061] Q i,tmin ≤Q i,t ≤Q i,tmax

[0062] In the formula, Q i,tmin Q represents the minimum flow rate of the i-th hydropower station during time period t. i,tmax Let be the maximum flow rate of the i-th hydropower station during time period t;

[0063] The water balance constraint is specifically as follows:

[0064] V i,t+1 =V i,t +(q i,t +O i-1,t -O i,t )Δt

[0065] In the formula, V i,t V i,t+1 O represents the initial and final reservoir storage of the i-th hydropower station during time period t; i,t Let q be the outflow from the reservoir during the i-th hydropower station in time period t; i,t Let be the flow rate between the (i-1)th power station and the ith power station during time period t.

[0066] The present invention has the following beneficial effects:

[0067] 1. This invention calculates the real-time active power deviation of the power grid and the real-time active power allocation of each hydropower unit by acquiring real-time operating data, and realizes real-time adjustment of the active power of the entire power grid at each hydropower unit.

[0068] 2. This invention uses the output power of hydropower to suppress real-time fluctuations in the frequency of new energy sources, thereby improving the stability of power grid operation.

[0069] 3. This invention optimizes calculations with the goal of minimizing water consumption, thereby controlling the overall water consumption, avoiding waste, and improving the economic efficiency of power grid operation. Attached Figure Description

[0070] Figure 1 This is a flowchart of the method of the present invention; Detailed Implementation

[0071] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0072] It should be understood that the step numbers used in the text are for ease of description only and are not intended to limit the order in which the steps are performed.

[0073] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0074] The terms “comprising” and “including” indicate the presence of the described feature, whole, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0075] The term “and / or” refers to any combination of one or more of the associated listed items, as well as all possible combinations, and includes these combinations.

[0076] Example 1:

[0077] See Figure 1 A multi-level, multi-energy complementary real-time scheduling and frequency regulation method for water, wind, and solar power, comprising the following steps:

[0078] The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatch platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units.

[0079] In specific implementation, the upper-level scheduling platform in this embodiment is the provincial water transfer cloud platform. Load, wind power, and photovoltaic power output data are obtained from the provincial water transfer cloud platform, the active power deviation of the entire network is calculated, and the active power adjustment amount is issued to the hydropower centralized control center.

[0080] Based on the active power adjustment quota in the mid-level centralized control center, the optimal AGC control model of the hydropower plant is constructed with the goal of minimizing water consumption. Real-time operating data of each hydropower plant unit is obtained and input into the optimal AGC control model of the hydropower plant. Then, the optimal AGC control model of the hydropower plant is solved through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit.

[0081] In specific implementation, this embodiment constructs the optimal AGC control model for the hydropower plant from the hydropower centralized control center based on the active power adjustment quota issued by the provincial dispatch center; the centralized control center obtains real-time information of each unit, optimizes the optimal AGC control model, calculates the active power allocation result of each unit, and sends the active power allocation result to each unit of the hydropower plant to achieve economic allocation.

[0082] The hydropower control center acquires real-time operating information of each generating unit and reservoir, and uses dynamic programming improvement algorithms (such as POA, DPSA, POA-DPSA, etc.) to quickly solve the optimal control model of AGC, calculate the active power allocation results of each generating unit, and distribute the active power allocation results to each generating unit of the hydropower plant to achieve economic allocation.

[0083] Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

[0084] In practice, this embodiment uses frequency controllers to regulate the active power of each turbine unit based on the active power reference value issued by the hydropower control center.

[0085] As a preferred embodiment of this invention, the real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

[0086] In practice, by using the acquired real-time operating data to calculate the optimal active power allocation, real-time changes in active power can be obtained, and problems in the power grid system can be detected in a timely manner.

[0087] In a preferred embodiment of this invention, the step of calculating the active power deviation of the entire power grid specifically includes:

[0088]

[0089] In the formula, The total active power of the nth new energy power plant in the power grid is obtained based on the output power of each new energy unit in each new energy power plant. Let m be the active load of the m-th area in the power grid.

[0090] In practice, the data obtained are real-time changing values.

[0091] In a preferred embodiment of this practice, the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption involves constructing an objective function to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows:

[0092]

[0093] In the formula, a, b, and c are the parameters of the water consumption characteristic curve of the hydropower plant; This represents the active power allocation value for unit i.

[0094] In practice, in order to ensure the feasibility of the optimization results during the optimal load allocation process, it is necessary to consider the constraints in the optimization process. These constraints include adjustment accuracy constraints, regulation rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints.

[0095] In a preferred embodiment of this invention, the constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically:

[0096] The adjustment accuracy constraint is specifically as follows:

[0097]

[0098] In the formula, P set For active power adjustment, The active power allocation for unit i. R represents the active power of unit i at the start of AGC regulation, and R represents the regulation accuracy requirement.

[0099] The adjustment rate constraint is specifically as follows:

[0100]

[0101] In the formula, C iWhere K is the unit capacity and K is the regulation rate index. This is the maximum adjustment time;

[0102] The output limit constraint is specifically as follows:

[0103]

[0104] In the formula, P set Limit the active power of each unit;

[0105] The specific cross-sectional constraint is as follows:

[0106]

[0107] In the formula, P max This represents the maximum active power transmitted across the cross-section.

[0108] The power generation flow constraint is specifically as follows:

[0109] Q i,tmin ≤Q i,t ≤Q i,tmax

[0110] In the formula, Q i,tmin Q represents the minimum flow rate of the i-th hydropower station during time period t. i,tmax Let be the maximum flow rate of the i-th hydropower station during time period t;

[0111] The water balance constraint is specifically as follows:

[0112] V i,t+1 =V i,t +(q i,t +O i-1,t -O i,t )Δt

[0113] In the formula, V i,t V i,t+1 O represents the initial and final reservoir storage of the i-th hydropower station during time period t; i,t Let q be the outflow from the reservoir during the i-th hydropower station in time period t; i,t Let be the flow rate between the (i-1)th power station and the ith power station during time period t.

[0114] In practice, the specific data for each constraint condition are all real-time data, which ensures the feasibility of the optimization results, guarantees that the allocation of minimum water consumption can be achieved, and improves the stability and economy of system operation.

[0115] Example 2:

[0116] A multi-level, multi-energy complementary real-time scheduling and frequency regulation system for water, wind, and solar power includes:

[0117] Active power deviation calculation module: The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatching platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units.

[0118] Active power allocation calculation module: Based on the active power adjustment quota in the intermediate control center, construct the optimal AGC control model of the hydropower plant with the goal of minimizing water consumption, obtain the real-time operation data of each hydropower plant unit and input it into the optimal AGC control model of the hydropower plant, and then solve the optimal AGC control model of the hydropower plant through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit.

[0119] Automatic control and regulation module: Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

[0120] As a preferred embodiment of this invention, the real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

[0121] In a preferred embodiment of this invention, the step of calculating the active power deviation of the entire power grid specifically includes:

[0122]

[0123] In the formula, The total active power of the nth new energy power plant in the power grid is obtained based on the output power of each new energy unit in each new energy power plant. Let m be the active load of the m-th area in the power grid.

[0124] In a preferred embodiment of this practice, the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption involves constructing an objective function to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows:

[0125]

[0126] In the formula, a, b, and c are the parameters of the water consumption characteristic curve of the hydropower plant; This is the active power allocation for unit i.

[0127] In a preferred embodiment of this invention, the constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically:

[0128] The adjustment accuracy constraint is specifically as follows:

[0129]

[0130] In the formula, P set For active power adjustment, The active power allocation for unit i. R represents the active power of unit i at the start of AGC regulation, and R represents the regulation accuracy requirement.

[0131] The adjustment rate constraint is specifically as follows:

[0132]

[0133] In the formula, C i Where K is the unit capacity and K is the regulation rate index. This is the maximum adjustment time;

[0134] The output limit constraint is specifically as follows:

[0135]

[0136] In the formula, P set Limit the active power of each unit;

[0137] The specific cross-sectional constraint is as follows:

[0138]

[0139] In the formula, P max This represents the maximum active power transmitted across the cross-section.

[0140] The power generation flow constraint is specifically as follows:

[0141] Q i,tmin ≤Q i,t ≤Q i,tmax

[0142] In the formula, Q i,tmin Q represents the minimum flow rate of the i-th hydropower station during time period t. i,tmax Let be the maximum flow rate of the i-th hydropower station during time period t;

[0143] The water balance constraint is specifically as follows:

[0144] V i,t+1 =V i,t +(q i,t +O i-1,t -O i,t )Δt

[0145] In the formula, V i,t V i,t+1O represents the initial and final reservoir storage of the i-th hydropower station during time period t; i,t Let q be the outflow from the reservoir during the i-th hydropower station in time period t; i,t Let be the flow rate between the (i-1)th power station and the ith power station during time period t.

[0146] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A multi-level water, wind, light, and frequency complementary real-time scheduling and frequency modulation method, characterized in that, The specific steps include: The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatch platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units. The specific steps for calculating the active power deviation of the entire power grid are as follows: In the formula, The total active power of the nth new energy power plant in the power grid is obtained according to the output power of each new energy unit of each new energy power plant; The active load of the mth area in the power grid is Based on the active power adjustment quota in the mid-level centralized control center, the optimal AGC control model of the hydropower plant is constructed with the goal of minimizing water consumption. Real-time operating data of each hydropower plant unit is obtained and input into the optimal AGC control model of the hydropower plant. Then, the optimal AGC control model of the hydropower plant is solved through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit. In the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption, an objective function is constructed to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows: In the formula, a, b, c are water consumption characteristic curve parameters of the water power plant; is the active power allocation of the unit i; Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

2. The multi-level water, wind, and light real-time scheduling and frequency modulation method according to claim 1, characterized in that, The real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

3. The multi-level water, wind, light, and frequency-complementary real-time scheduling and frequency modulation method of claim 1, wherein The constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically: The adjustment accuracy constraint is specifically as follows: wherein, is the active power adjustment amount, is the active power allocation amount of the unit i, is the active power of the unit i at the beginning of the AGC regulation, and R is the regulation accuracy requirement. The adjustment rate constraint is specifically as follows: In the formula, is the unit capacity, is the adjustment rate index, is the maximum adjustment time; The output limit constraint is specifically as follows: In the formula, Pmaxis the active power limit for each unit; The specific cross-sectional constraint is as follows: In the formula, is the maximum active power delivered in the cross section; The power generation flow constraint is specifically as follows: In the formula, For the first A hydropower station Minimum traffic per time period; For the first A hydropower station Maximum traffic per time period; The water balance constraint is specifically as follows: In the formula, , Indicates the first The first hydropower station Reservoir water storage at the beginning and end of the time period; For the first Each hydropower station period Outbound flow; For time period No. The power station to the first The flow rate of each power station within its designated area.

4. A multi-level water, wind, light, and frequency complementary real-time scheduling and frequency modulation system, characterized in that, include: Active power deviation calculation module: The output power of each new energy unit in the new energy power plant is obtained in real time from the upper-level dispatching platform, and the active power deviation of the entire power grid is calculated at this time. The active power deviation is used as the active power adjustment amount of the hydropower plant. Among them, each new energy unit includes load units, wind turbine units and photovoltaic units. The specific steps for calculating the active power deviation of the entire power grid are as follows: In the formula, The total active power of the nth new energy power plant in the power grid is obtained based on the output power of each new energy unit in each new energy power plant. This represents the active load of the m-th area in the power grid. Active power allocation calculation module: Based on the active power adjustment quota in the intermediate control center, construct the optimal AGC control model of the hydropower plant with the goal of minimizing water consumption, obtain the real-time operation data of each hydropower plant unit and input it into the optimal AGC control model of the hydropower plant, and then solve the optimal AGC control model of the hydropower plant through the dynamic rule improvement algorithm to obtain the optimal active power allocation quota of each hydropower plant unit. In the step of constructing the optimal AGC control model for the hydropower plant with the goal of minimizing water consumption, an objective function is constructed to represent the minimum water consumption, thereby achieving optimal active power allocation among the generating units. The specific objective function is as follows: In the formula, a, b, c are water consumption characteristic curve parameters of the water power plant; is the active power allocation of the unit i; Automatic control and regulation module: Based on the optimal active power allocation of each hydropower plant unit, frequency regulation is performed at each turbine unit of the lower-level unit group using a frequency controller.

5. The multi-level water, wind, light, and sound multi-energy complementary real-time scheduling and frequency modulation system according to claim 4, characterized in that, The real-time operating data of each hydropower plant unit includes the real-time output, regulation rate, real-time power generation flow, real-time water levels upstream and downstream of the reservoir, and power flow at the hydropower plant's outgoing section.

6. The multi-level water, wind, light, and sound multi-energy complementary real-time scheduling and frequency modulation system according to claim 4, characterized in that, The constraints of the objective function for minimum water consumption include adjustment accuracy constraints, adjustment rate constraints, output limit constraints, cross-sectional limit constraints, power generation flow constraints, and water balance constraints, specifically: The adjustment accuracy constraint is specifically as follows: wherein, is the active power adjustment amount, is the active power allocation amount of the unit i, is the active power of the unit i at the beginning of the AGC regulation, and R is the regulation accuracy requirement. The adjustment rate constraint is specifically as follows: In the formula, is the unit capacity, is the adjustment rate index, is the maximum adjustment time; The output limit constraint is specifically as follows: In the formula, Pmaxis the active power limit for each unit; The specific cross-sectional constraint is as follows: In the formula, is the maximum active power delivered in the cross section; The power generation flow constraint is specifically as follows: wherein is the minimum reference flow for the th hydroelectric power plant at the th time interval; is the maximum reference flow for the th hydroelectric power plant at the th time interval; The water balance constraint is specifically as follows: In the formula, , Indicates the first The first hydropower station Reservoir water storage at the beginning and end of the time period; For the first Each hydropower station period Outbound flow; For time period No. The power station to the first The flow rate of each power station within its designated area.

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