A step water, wind, light and storage integrated scheduling method, system, device and medium for a multi-energy complementary system

Abstract

The application relates to the technical field of control, and discloses a step water, wind, light and storage integrated scheduling method, system, equipment and medium for a multi-energy complementary system. The method comprises the following steps: constructing a water, wind, light and storage multi-energy complementary integrated model based on a basin step hydropower station, and transforming a conventional step hydropower station into a hybrid pumped storage power station; introducing water balance, pumped and generated mutual exclusion and power constraints specific to the hybrid pumped storage power station; performing upper layer optimization with the minimum grid net load peak-valley difference as the target to generate a smooth initial net load curve; on the basis, performing lower layer optimization with the minimum system comprehensive operation cost as the target, and comprehensively considering the cost of thermal power, the operation and maintenance cost of new energy, the cost of abandoned wind and light, the step carbon trading cost and the cost of energy storage; and finally verifying the effectiveness of the model through a simulation experiment. The application improves the system regulation flexibility, the new energy consumption capacity and the economic operation efficiency, and realizes efficient and low-carbon collaborative scheduling of the multi-energy complementary system.

Description

Technical Field

[0001] This invention relates to the field of control technology, specifically to a method, system, equipment, and medium for integrated scheduling of cascade hydropower, wind power, solar power, and energy storage systems in multi-energy complementary systems. Background Technology

[0002] With the continuous advancement of new power system construction and the in-depth implementation of the "dual carbon" target, large-scale grid connection of new energy sources, represented by wind power and photovoltaics, has become an important trend in power system development. However, the intermittent, fluctuating, and uncertain output of new energy sources poses significant challenges to the power balance and stable operation of the power grid. Meanwhile, traditional thermal power units have limited regulation capabilities and face significant peak-shaving pressure, making it difficult to adapt to the flexible dispatching needs under high-proportion new energy integration. Against this backdrop, constructing an integrated energy system with multi-energy complementarity and fully tapping the potential of flexible regulation resources such as hydropower and energy storage has become a key approach to improving the power grid's ability to absorb new energy and ensuring the safe and economical operation of the system.

[0003] Current scheduling methods for multi-energy complementary systems with renewable energy sources still face several challenges: First, traditional scheduling models often prioritize economic efficiency alone, failing to adequately consider the smoothness and environmental friendliness of the system's net load, leading to large peak-to-valley differences and difficulties in peak regulation. Second, existing research primarily focuses on wind-solar-storage synergy, neglecting the joint optimization scheduling of cascade hydropower and hybrid pumped storage, thus failing to fully leverage the spatiotemporal regulation capabilities of cascade hydropower in a river basin. Third, pumped storage is typically treated as an independent unit in modeling, failing to integrate it with existing cascade hydropower, ignoring the complex constraints of hybrid pumped storage in terms of water balance and mutually exclusive operating modes, thus affecting the model's practical applicability and economic viability. Furthermore, most scheduling strategies lack a hierarchical coordination mechanism, with weak coupling between upper and lower level objectives, making it difficult to achieve comprehensive optimization of system operating costs and carbon emissions while reducing net load fluctuations.

[0004] Therefore, existing methods often struggle to achieve an effective balance between improving system regulation capacity, reducing operating costs, and enhancing environmental benefits when dealing with scheduling scenarios involving high proportions of renewable energy access, multi-type power source coordination, complex operational constraints, and multi-objective optimization. A cascade hydropower-wind-solar-storage integrated scheduling model and strategy that can integrate hybrid pumped storage, hierarchical collaborative optimization, and take into account both economic efficiency and environmental protection is needed. Summary of the Invention

[0005] In view of the above-mentioned existing problems, the present invention provides a method, system, equipment and medium for integrated scheduling of cascade hydropower, wind power, solar power and storage systems for multi-energy complementary systems.

[0006] Therefore, the technical problem solved by this invention is: how to achieve a multi-objective balance optimization of improving system regulation capacity, reducing operating costs and enhancing environmental benefits in the complex scheduling scenario of multi-energy complementary systems with a high proportion of new energy access, by constructing a joint optimization model of integrated hybrid pumped storage and cascade hydropower, and designing a hierarchical collaborative optimization mechanism.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for integrated scheduling of cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system, comprising, Based on the cascade hydropower stations and equipment in the basin, an integrated model of multi-energy complementarity of water, wind, solar and storage is constructed; Based on the integrated model of multi-energy complementarity of water, wind, solar and storage, the constraints unique to hybrid pumped storage power stations are introduced. Using the constraints unique to hybrid pumped storage power stations, upper-level optimization is performed with minimizing the peak-to-valley difference of the grid net load as the primary objective function. By solving the multi-energy complementary integrated model using the first objective function, the optimal power output plan of the integrated system is obtained, and the initial net load curve is output. Using the initial net load curve as the second objective function, we perform lower-level optimization to obtain the optimal scheduling scheme. Based on the optimal scheduling scheme, simulation experiments were conducted to set up comparative scenarios and verify the integrated model of multi-energy complementarity of water, wind, solar and storage.

[0008] As a preferred embodiment of the cascade hydropower-wind-solar-storage integrated scheduling method for a multi-energy complementary system described in this invention, the step of constructing a multi-energy complementary integrated model based on cascade hydropower stations and equipment in a river basin includes, The conventional cascade hydropower stations in the system will be transformed into hybrid pumped storage power stations that can utilize downstream river water, thus constructing an integrated model that complements multiple energy sources such as water, wind, solar, and storage.

[0009] As a preferred embodiment of the cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system described in this invention, the method incorporates constraints specific to hybrid pumped storage power stations based on the integrated hydro-wind-solar-storage multi-energy complementary model, including... By coordinating the output of each power source in the complementary system model and satisfying system constraints, including the operational constraints of the hybrid pumped storage power station.

[0010] As a preferred embodiment of the cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system described in this invention, the method employs constraints unique to hybrid pumped storage power stations, using minimizing the peak-to-valley difference of the grid net load as the first objective function for upper-level optimization, including... The primary objective function is to minimize the peak-to-valley difference of the net load of the power grid within the scheduling cycle, thereby maximizing the flexible adjustment capabilities of hydropower and energy storage for upper-level optimization.

[0011] As a preferred embodiment of the cascade hydropower, wind power, solar power, and energy storage integrated scheduling method for a multi-energy complementary system described in this invention, the step of solving the multi-energy complementary integrated model through a first objective function to obtain the optimal power output plan of the integrated system and outputting the initial net load curve includes, Solve the upper-level model to obtain the optimal output plan for each time period of the integrated system that minimizes the peak-valley difference, and update it to obtain a smooth initial net load curve, which is then passed to the lower-level model. Cascade hybrid pumped storage power stations meet the constraints of conventional cascade hydropower stations, and should also meet the following constraints: Water balance constraints: in, Cascade hydropower units exist The amount of water stored at any given time. Cascade hydropower units exist The amount of water stored at any given time. for The first period Inflow of cascade hydropower stations for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations Pumping flow rate during the period for Cascade hydropower stations Pumping flow rate during a given time period; Power plant pumping flow constraints: in, This refers to the pumping flow rate of a cascade hybrid pumped storage power station. This is the upper limit of the pumping flow rate for a hybrid pumped storage power station. This is the lower limit of the pumping flow rate for a hybrid pumped storage power station. The mutual exclusion constraint between pumping and power generation in a cascade hybrid pumped storage power station represents the power station's... It is not possible to generate electricity and pump water simultaneously: in, For hydroelectric generator units exist Contributing effort at all times, This represents the maximum active power output of the hydroelectric generator unit. It is a binary state variable. This refers to the pumping power of the pumped storage power station. This refers to the maximum pumping power of the pumped storage power station. Power limitations of hybrid pumped storage power stations: in, Pumping power, This is the upper limit of the pumping power. This is the lower limit of pumping power.

[0012] As a preferred embodiment of the cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system described in this invention, the step of performing lower-level optimization using the initial net load curve and minimizing the overall system operating cost as the second objective function to obtain the optimal scheduling scheme includes: With minimizing the overall system operating cost as the second objective function, lower-level optimization is performed, as shown in the following formula: in, For the cost of generating electricity from thermal power units, For the operation and maintenance costs of new energy units, To cover the costs of curtailing solar and wind power, For tiered carbon trading costs, For energy storage costs; The lower-level constraints are as follows: Power balance constraints: in, For hydroelectric generator units exist Contributing effort at all times, Contribute to the integrated hydropower, wind power, solar power, and energy storage system. for The workload at any given moment is active power output; Thermal power unit operating constraints: in, This represents the minimum active power output of a thermal power unit. This represents the maximum active power output of the thermal power unit. The maximum downward adjustment rate of thermal power units, The maximum upward adjustment rate of thermal power units, for The active power output of thermal power units at all times. for The active power output of thermal power units at all times; Channel capacity constraints: in, For the first Taiwan hydroelectric power unit Contributing effort at all times, The number of pumped storage power stations connected to the Lth transmission channel. For the first Typhoon turbine Contributing effort at all times, The number of wind power stations connected to the Lth transmission channel. For the first Taiwan photovoltaic units Contributing effort at all times, The number of photovoltaic power plants connected to the Lth transmission channel. For the first Taiwan hybrid pumped storage power station Contributing effort at all times, The number of hybrid pumped storage power stations connected to the Lth transmission channel. Let L be the capacity of the Lth transmission channel.

[0013] As a preferred embodiment of the cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system described in this invention, the step of verifying the integrated hydro-wind-solar-storage multi-energy complementary model through simulation experiments and comparative scenarios based on the optimal scheduling scheme includes: This paper uses a watershed cascade example to illustrate the data and solution process, and presents comparative analysis results to verify the comprehensive performance and advantages of the integrated model of multi-energy complementarity of water, wind, solar and storage.

[0014] This invention transforms conventional cascade hydropower stations into hybrid pumped storage power stations and coordinates the output of multiple energy sources, thereby minimizing the peak-valley difference of the power grid's net load and enhancing the optimized scheduling and flexible adjustment capabilities of the multi-energy complementary system of hydropower, wind power, solar power, and energy storage.

[0015] This invention provides a cascade hydropower, wind power, solar power, and energy storage integrated dispatching system for multi-energy complementary systems, comprising: The integrated model construction module constructs a multi-energy complementary integrated model of water, wind, solar and energy storage based on the basic data of cascade hydropower stations, wind farms, photovoltaic power stations and energy storage equipment in the basin, and supports multi-energy coordinated scheduling calculation; The power plant constraint management module introduces the unique operating constraints of hybrid pumped storage power plants into the integrated model to ensure that the model conforms to the actual operating conditions of the power plant. The upper-level optimization scheduling module takes minimizing the peak-valley difference of the grid net load as the objective function, and combines the constraints of the hybrid pumped storage power station to perform upper-level optimization scheduling, maximizing the utilization of the regulation capacity of hydropower and energy storage. The net load output module solves the upper-level optimization model, generates the optimal output plan for the integrated system at each time period, and outputs the smoothed initial net load curve to provide input for the lower-level optimization. The lower-level optimization and scheduling module takes minimizing the overall system operating cost as the objective function, performs lower-level optimization based on the initial net load curve, and generates the economically optimal scheduling scheme. The simulation verification and comparative analysis module, based on the optimal scheduling scheme, sets up comparative scenarios through simulation experiments to verify the comprehensive performance and advantages of the integrated multi-energy complementary model of water, wind, solar and storage.

[0016] The present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of a cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system.

[0017] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, it implements the steps of a cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system.

[0018] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention proposes an integrated scheduling model and hierarchical optimization strategy for multi-energy complementary systems, combining cascade hydropower, wind power, solar power, and energy storage. First, a multi-energy complementary system model is constructed, with cascade hydropower as the core, integrating wind power, solar power, and energy storage, leveraging the role of hydropower in mitigating wind and solar power fluctuations and energy storage in alleviating peak-shaving pressure. Then, a hierarchical optimization framework is adopted: the upper layer aims to minimize the net load peak-valley difference, optimizing the combined output to obtain a smooth net load curve under constraints such as water balance, flow rate, and power of conventional hydropower and hybrid pumped storage power stations; the lower layer aims to minimize the overall system operating cost, comprehensively calculating thermal power costs, new energy operation and maintenance costs, wind and solar curtailment costs, tiered carbon trading costs, and energy storage operating costs, and conducting economical and environmentally friendly scheduling under constraints such as power balance and unit operation. This invention, by transforming traditional cascade power stations into hybrid pumped storage power stations, breaks through the reservoir capacity limitations of conventional pumped storage, improves operational flexibility, and reduces transformation costs. The proposed strategy fully leverages the regulation potential of hydropower and energy storage, effectively reducing peak-valley load differences, enhancing the absorption capacity of new energy sources, and minimizing wind and solar curtailment. The introduction of a tiered carbon trading mechanism further promotes the low-carbon operation of the system. Examples demonstrate that this invention can significantly smooth the power output process, reduce total system costs, and improve wind and solar utilization rates, providing an effective solution for the efficient, economical, and environmentally friendly dispatching of multi-energy complementary systems. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 The flowchart illustrates an integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage systems in a multi-energy complementary system, as provided in one embodiment of the present invention.

[0021] Figure 2 The diagram shows a cascade hydro-wind-solar-storage integrated power generation system, which is provided as an embodiment of the present invention for a cascade hydro-wind-solar-storage integrated dispatching method for a multi-energy complementary system.

[0022] Figure 3 This is a hierarchical scheduling strategy diagram of a cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system, provided as an embodiment of the present invention. Detailed Implementation

[0023] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0024] Example 1, referring to Figure 1 The first embodiment of the present invention provides a method for integrated scheduling of cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system, comprising: S1: Based on the cascade hydropower stations and equipment in the basin, construct an integrated model of multi-energy complementarity of water, wind, solar and storage.

[0025] S2: Based on the integrated model of multi-energy complementarity of water, wind, solar and storage, the constraints unique to hybrid pumped storage power stations are introduced.

[0026] S3: Using the constraints unique to hybrid pumped storage power stations, upper-level optimization is performed with minimizing the peak-to-valley difference of the grid net load as the first objective function.

[0027] S4: Solve the multi-energy complementary integrated model through the first objective function to obtain the optimal output plan of the integrated system and output the initial net load curve.

[0028] S5: Using the initial net load curve, with minimizing the overall system operating cost as the second objective function, perform lower-level optimization to obtain the optimal scheduling scheme.

[0029] S6: Based on the optimal scheduling scheme, simulation experiments were conducted to set up comparative scenarios and verify the integrated model of multi-energy complementarity of water, wind, solar and storage.

[0030] It should be noted that traditional multi-energy complementary system dispatching methods often suffer from insufficient regulation capacity, low operational economics, and limited carbon emission control measures when dealing with high proportions of renewable energy integration. Specifically, while traditional cascade hydropower dispatching has a certain regulation capacity, its output is limited by natural water inflow, making it difficult to fully mitigate the randomness and volatility of wind and solar power output. Conventional pumped storage power stations can improve system flexibility, but their construction is constrained by geographical conditions, have high investment costs, and their water volume is limited by the capacity of upstream and downstream reservoirs, resulting in a limited regulation range. Existing dispatching models mostly adopt single-layer optimization or simple aggregation methods, failing to effectively coordinate the temporal complementarity characteristics and hierarchical regulation needs of multiple power sources. This leads to large fluctuations in the net load curve, significant pressure on thermal power peak shaving, and significant wind and solar curtailment. At the same time, the lack of a systematic carbon cost internalization mechanism makes it difficult to balance economic and environmental goals. Therefore, it is necessary to study an integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in multi-energy complementary systems. This method involves constructing a combined output model of cascade hydropower, wind power, solar power, and energy storage that considers hybrid pumped storage, designing a two-layer optimization scheduling strategy with the objectives of minimizing the peak-to-valley difference in net load and minimizing overall operating costs, and introducing constraints and cost mechanisms such as water balance, mutual exclusion of pumping and generation, and tiered carbon trading into the model. This aims to systematically address issues such as insufficient regulation flexibility, low operational economics, and weak carbon emission reduction measures, thereby improving the power system's capacity to absorb renewable energy and its overall operational efficiency.

[0031] Therefore, to address the above issues, through steps S1-S6, wind power, photovoltaic, and energy storage equipment are integrated based on cascade hydropower stations in the basin to construct a multi-energy complementary integrated model of hydropower, wind power, photovoltaic, and energy storage. This improves the coordination and complementarity among different energy sources and the overall operational stability of the system. Based on this model, constraints unique to hybrid pumped storage power stations, such as water balance, pumping and generation mutual exclusion, and power limitation, are introduced to improve the flexible adjustment capability of cascade hydropower and the utilization efficiency of energy storage resources. Upper-level optimization is adopted with minimizing the peak-valley difference of the grid net load as the first objective function, and the optimal output plan and initial net load curve of the integrated system are obtained by solving the problem. This improves the smoothness and dispatchability of the net load and effectively alleviates the peak-shaving pressure of thermal power. Through this initial net load curve, lower-level optimization is carried out with minimizing the overall system operating cost as the second objective function, which improves the economic efficiency and environmental protection of the power system operation and reduces the cost of thermal power and carbon emissions. At the same time, multi-scenario simulation comparison experiments are set up based on the optimal dispatch scheme to verify the significant effects of the model in reducing the peak-valley difference, improving the utilization rate of wind and solar power, and saving total costs. This achieves the goal of enhancing the renewable energy absorption capacity and ensuring the safe, economical, and low-carbon operation of the system.

[0032] Example 2, refer to Figures 1-3 As an embodiment of the present invention, based on the above embodiment, a method for integrated scheduling of cascade hydropower, wind power, solar power and storage for multi-energy complementary systems is provided.

[0033] In this embodiment of the application, step S1, based on the cascade hydropower stations and equipment in the basin, constructs an integrated model of multi-energy complementarity of water, wind, solar, and storage, including: The conventional cascade hydropower stations in the system will be transformed into hybrid pumped storage power stations that can utilize downstream river water, thus constructing an integrated model that complements multiple energy sources such as water, wind, solar, and storage.

[0034] Specifically, this study takes a multi-energy complementary system of hydropower, wind power, photovoltaic power, and energy storage in a river basin as the research object, analyzes the role of hydropower in mitigating the impact of uncertain new energy sources such as wind and solar power, and explores how the flexible regulation capability of energy storage can alleviate the peak-shaving pressure of thermal power units. It also constructs an integrated multi-energy complementary model and a hierarchical scheduling strategy.

[0035] To analyze the mitigating effect of cascade hydropower on new energy sources, and considering hybrid pumped storage, an integrated model is derived, the model expression of which is as follows: in, for Remaining load at any given time for The workload at any given moment is active power output. for The collection of active power output from generator units at any given time. for The energy storage devices at any time aggregate active power output. The active power output of the cascade hydropower stations at all times. for The active power output of the photovoltaic power generation unit at any given time. for The active power output of the wind turbine generator at any given time. for The active power output of thermal power units at any given time for The status of effort and contribution at all times. for The charging power of the energy storage device at all times. for The discharge power of the energy storage device at any given time.

[0036] In one alternative implementation, a multi-energy complementary integrated model of water, wind, solar, and storage can be constructed based on the existing facilities of conventional cascade hydropower stations in the basin.

[0037] Specifically, by combining wind power and photovoltaic equipment, a multi-energy complementary system model is constructed, which directly utilizes the original power generation capacity to participate in dispatch, analyzes the direct superposition of hydropower output and wind and solar power output, and adjusts the power generation plans of each energy source according to the grid load demand.

[0038] In another alternative implementation, the energy sources can be connected to the power grid separately, based on the cascade hydropower stations, wind power, and photovoltaic equipment in the river basin.

[0039] Specifically, hydropower, wind power, and photovoltaic power output are dispatched separately, and the power generation tasks of each energy source are allocated according to the real-time load, ignoring the effect of hydropower on wind and solar power output and the coordinated peak-shaving analysis of energy storage and thermal power units.

[0040] In this embodiment of the invention, step S2, based on the integrated model of multi-energy complementarity of water, wind, solar, and storage, introduces constraints unique to hybrid pumped storage power stations, including the following steps A1-A5: A1: By coordinating the output of each power source in the complementary system model and satisfying system constraints, including the operational constraints of the hybrid pumped storage power station.

[0041] Specifically, it mainly considers conventional hydropower constraints and power limitation constraints to provide initial net load data for lower-level optimized scheduling.

[0042] A2: Output constraints of hydropower units: in, This represents the minimum active power output of the hydroelectric generator unit. The maximum active power output of the hydropower unit For hydroelectric generator units exist Contributing effort at all times, Cascade hydropower stations Minimum flow rate, Cascade hydropower stations Maximum flow, for Cascade hydropower stations at present Water flow rate Cascade hydropower stations Minimum water storage capacity, Cascade hydropower stations Maximum water storage capacity Cascade hydropower units exist The amount of water stored at any given time.

[0043] A2: Hydraulic constraint: in, Cascade hydropower units exist The amount of water stored at any given time. Cascade hydropower units exist The amount of water stored at any given time. for The first period The water flow of a cascade hydropower station for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations at present Water flow rate.

[0044] A3: Water level-reservoir capacity constraint: in, This refers to the water level upstream of the dam. This is the water level-reservoir capacity characteristic curve function. Cascade hydropower units exist The amount of water stored at any given time.

[0045] A4: Tailwater level - discharge capacity constraint: in, This is the downstream tailwater level. The tailwater flow-discharge characteristic curve function, for Cascade hydropower stations at present Water flow rate.

[0046] A5: Output constraints of wind and solar power units: in, for The active power output of photovoltaic units during different time periods for The maximum active power output of the photovoltaic unit during the specified time period. for The active power output of wind turbines during different time periods for The maximum active power output of the wind turbine during a given time period.

[0047] In an alternative implementation, a sequential decision-making approach can also be used to process each power source.

[0048] Specifically, firstly, without considering fluctuations in wind and solar power output or regulation by pumped storage, and only considering hydropower operation constraints, cascaded hydropower output is arranged to meet the main load demand. Then, the actual output of wind and solar power is superimposed as fixed values ​​to form a preliminary power generation plan. Finally, the difference between this plan and the load is independently balanced by the pumped storage power station through charging and discharging.

[0049] In another alternative implementation, the accuracy in the time or spatial dimensions can also be reduced during model coordination optimization.

[0050] Specifically, on a time scale, the optimized scheduling period is extended, for example, by using half a day or a full day as a scheduling period, during which the output of each power source is assumed to be constant. On a spatial scale, the cascade hydropower station group is simplified into an equivalent power station for overall output constraints, ignoring the internal hydraulic connections and reservoir capacity differences, and only considering the total output and total water consumption.

[0051] In this embodiment of the invention, step S3 employs constraints unique to hybrid pumped storage power stations, using minimizing the peak-to-valley difference of the grid net load as the first objective function, to perform upper-level optimization, including: The primary objective function is to minimize the peak-to-valley difference of the net load of the power grid within the scheduling cycle, thereby maximizing the flexible adjustment capabilities of hydropower and energy storage for upper-level optimization.

[0052] Specifically, the formula for the first objective function is as follows: in, For the net load fluctuation difference of the power grid, for Maximum remaining load at time , Minimum residual load.

[0053] The power output constraint for the integrated hydropower, wind power, solar power, and energy storage system is given by the following formula: in, For the integrated hydropower, wind power, solar power and energy storage system Contribution within a given moment The total rated transmission capacity of the integrated system unit, for Real-time active power output of all generator units for Real-time operational status of all energy storage devices The active power output of the cascade hydropower stations at all times. for The active power output of the photovoltaic power generation unit at any given time. for The active power output of the wind turbine generator at any given time. for The active power output of thermal power units at any given time for The status of effort and contribution at all times. for The charging power of the energy storage device at all times. for The discharge power of the energy storage device at any given time.

[0054] In an alternative implementation, a fixed operation mode constraint of the hybrid pumped storage power station can also be adopted, with minimizing the peak-valley difference of the grid net load as the first objective function for upper-level optimization.

[0055] Specifically, during the upper-level optimization process, the pumping and power generation of the pumped storage power station are preset to fixed values ​​and are not adjusted according to changes in the net load of the power grid or the output of other power sources. The upper and lower limits of the power are set only based on the rated capacity of the power station.

[0056] In another alternative implementation, time-separation constraints of hybrid pumped storage power stations can be used to minimize the peak-valley difference of the grid net load as the first objective function for upper-level optimization.

[0057] Specifically, the scheduling cycle is divided into several independent time periods, and power constraints for pumped storage power stations are set separately for each time period. The operating status of each time period is independent of each other, and the energy continuity within the scheduling cycle is not considered.

[0058] In this embodiment of the application, step S4 involves solving the multi-energy complementary integrated model using a first objective function to obtain the optimal output plan of the integrated system and outputting the initial net load curve, including the following steps B1-B5: B1: Solve the upper-level model to obtain the optimal output plan for each time period of the integrated system that satisfies the minimum peak-valley difference, and update it to obtain a smooth initial net load curve, which is then passed to the lower-level model.

[0059] Specifically, in addition to meeting the constraints of conventional cascade hydropower stations, cascade hybrid pumped storage power stations should also meet the following constraints.

[0060] B2: Water balance constraint: in, Cascade hydropower units exist The water storage capacity at any given time. Cascade hydropower units exist The water storage capacity at any given time. for The first period Inflow of cascade hydropower stations for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations Pumping flow rate during the period for Cascade hydropower stations Pumping flow rate during a given time period.

[0061] B3: Power plant pumping flow constraint: in, This refers to the pumping flow rate of a cascade hybrid pumped storage power station. This is the upper limit of the pumping flow rate for a hybrid pumped storage power station. This is the lower limit of the pumping flow rate for a hybrid pumped storage power station.

[0062] B4: Mutually exclusive constraints between pumping and power generation in a cascade hybrid pumped storage power station, indicating the power station's... It is not possible to generate electricity and pump water simultaneously: in, For hydroelectric generator units exist Contributing effort at all times, This represents the maximum active power output of the hydroelectric generator unit. It is a binary state variable. This refers to the pumping power of the pumped storage power station. This is the maximum pumping power of the pumped storage power station.

[0063] B5: Power Limitation of Hybrid Pumped Storage Power Stations: in, Pumping power, This is the upper limit of the pumping power. This is the lower limit of pumping power.

[0064] In an alternative implementation, the optimal output plan of the integrated system can also be obtained by directly solving a single-layer optimization model, and the initial net load curve can be output.

[0065] Specifically, the hierarchical model structure is eliminated, and the net load smoothing objective and system operation constraints are merged into a single optimization model for direct solution. First, an overall optimization model is established that includes the operation constraints of various power stations. For the cascade hybrid pumped storage power station section, water balance, pumping flow limit, and power limit are retained. The output plan and final net load curve of all power stations are solved simultaneously.

[0066] In another alternative implementation, the optimal output plan of the integrated system can be obtained by gradually optimizing the simplified constraints, and the initial net load curve can be output.

[0067] Specifically, a hierarchical structure is adopted, reducing some constraints when solving the upper-level model. First, the upper-level model, which only considers power balance and upper and lower limits of power plant capacity, is solved to obtain a preliminary output plan and net load curve. The lower-level model then introduces detailed constraints such as water balance and pumping flow rate for secondary adjustments, and outputs the final output plan.

[0068] In this embodiment of the application, step S5 uses the initial net load curve and minimizes the overall system operating cost as the second objective function to perform lower-level optimization to obtain the optimal scheduling scheme, including the following steps C1-C9: Specifically, C1: Using minimizing the overall system operating cost as the second objective function, lower-level optimization is performed, as shown in the following formula: in, For the cost of generating electricity from thermal power units, For the operation and maintenance costs of new energy units, To cover the costs of curtailing solar and wind power, For tiered carbon trading costs, For energy storage costs.

[0069] C2: Power generation cost of thermal power units: in, For the cost of generating electricity from thermal power units, , , For thermal power units Coal consumption fitting coefficient under specific operating conditions For thermal power units exist The active power emitted at any given moment. This represents the current unit price of standard coal.

[0070] C3: Operating costs of new energy sources: in, For the operation and maintenance costs of new energy units, For the unit exist Grid-connected power at any given time This represents the operation and maintenance cost coefficient per unit power. It is a collection of new energy generator sets, including wind turbines and photovoltaic generator sets.

[0071] C4: Costs of curtailing solar and wind power: in, To cover the costs of curtailing solar and wind power, The cost coefficient for curtailing solar and wind power. for Wind power curtailment during the period for Photovoltaic power curtailment during the period For wind turbines Actual output during the time period For photovoltaic units Actual output during the time period For wind turbines Forecast output within the time period For photovoltaic units Forecast output within the time period.

[0072] C5: Tiered carbon trading costs: in, Net carbon emissions As the benchmark price for carbon trading, The length of the carbon emission range, For price growth rate, For tiered carbon trading costs, For the first Step, Total carbon emissions, For system carbon emission allowances.

[0073] C6: Operating cost of battery energy storage unit: in, For energy storage costs, This is the aging cost coefficient for energy storage equipment. for The charging power during the period, for The power of discharge during the time period.

[0074] C7: Lower-level constraints are as follows: Power balance constraints: in, For hydroelectric generator units exist Contributing effort at all times, Contribute to the integrated hydropower, wind power, solar power, and energy storage system. for The workload at any given moment is active power output.

[0075] C8: Operating constraints of thermal power units: in, This represents the minimum active power output of a thermal power unit. This represents the maximum active power output of the thermal power unit. The maximum downward adjustment rate of thermal power units, The maximum upward adjustment rate of thermal power units, for The active power output of thermal power units at all times. for The active power output of the thermal power units at all times.

[0076] C9: Channel capacity constraint: in, For the first Taiwan hydroelectric power unit Contributing effort at all times, The number of pumped storage power stations connected to the Lth transmission channel. For the first Typhoon turbine Contributing effort at all times, The number of wind power stations connected to the Lth transmission channel. For the first Taiwan photovoltaic units Contributing effort at all times, The number of photovoltaic power plants connected to the Lth transmission channel. For the first Taiwan hybrid pumped storage power station Contributing effort at all times, The number of hybrid pumped storage power stations connected to the Lth transmission channel. Let L be the capacity of the Lth transmission channel.

[0077] In an alternative implementation, the initial net load curve can be used to select a portion of the cost components for calculation, with minimizing the overall system operating cost as the second objective function, to perform lower-level optimization and obtain the optimal scheduling scheme.

[0078] Specifically, firstly, the tiered carbon trading cost and energy storage cost are omitted from the objective function, and only the operating costs of thermal power plants, renewable energy units, and curtailment costs of solar and wind power are considered. Subsequently, in the subsequent optimization steps, the original power balance constraints, thermal power unit operating constraints, and channel capacity constraints are still used, and scheduling calculations are performed based on the initial net load curve, ultimately outputting a scheduling scheme.

[0079] In another alternative implementation, the initial net load curve can be used to perform lower-level optimization with the goal of minimizing the overall system operating cost as the second objective function. During the lower-level optimization, some constraints are simplified to obtain the optimal scheduling scheme.

[0080] Specifically, the complete second objective function is retained, including all costs. In the constraints, the ramp-up constraints of thermal power units are ignored, or they are merged into a single output variation range limit. Simultaneously, in the channel capacity constraints, different power source types are no longer distinguished; instead, their total output is directly compared with the channel capacity. Based on this, optimization is completed using the initial net load curve, resulting in a scheduling scheme.

[0081] In this embodiment of the application, step S6, based on the optimal scheduling scheme, verifies the integrated multi-energy complementary model of water, wind, solar, and storage through simulation experiments and setting up comparative scenarios, including the following steps D1-D2: D1: Through a cascade example of a watershed, the data and solution process are explained, and the comparative analysis results are presented to verify the comprehensive performance and advantages of the integrated model of multi-energy complementarity of water, wind, solar and storage.

[0082] Specifically, the effectiveness of the proposed model and strategy was verified using the IEEE 10-machine 39-node system and four cascade hydropower stations in the basin. The cascade hydropower stations were formed in the direction from upstream to downstream, based on relevant historical data.

[0083] D2: Using the integrated scheduling model and strategy of cascade hydropower, wind power, solar power and storage provided by this invention, four different scenarios were set up. The results are shown in Table 1 and Table 2. The integrated scheduling model and sealing layer scheduling strategy of cascade hydropower, wind power, solar power and storage provided by this invention can achieve stable power output of hydropower, wind power, solar power and storage, improve the operating efficiency of the integrated hydropower, wind power, solar power and storage system and reduce wind curtailment and solar curtailment.

[0084] Scenario 1: Without considering energy storage, cascade hydro-wind-solar integrated power generation; Scenario 2: Considering electrochemical energy storage, cascade hydro-wind-solar-storage integrated power generation; Scenario 3: Considering traditional pumped storage and electrochemical energy storage, integrated power generation of cascaded hydro, wind, solar and energy storage; Scenario 4: Consider hybrid pumped storage and electrochemical energy storage, and consider integrated hydro-wind-solar-storage power generation.

[0085] Table 1 Comparison of peak-valley difference experiments in different scenarios

[0086] Table 2 Analysis of Comprehensive Operating Costs in Different Scenarios

[0087] In an alternative implementation, the integrated model of multi-energy complementarity of water, wind, solar and storage can be verified by reducing the number of comparison scenarios through simulation experiments based on the optimal scheduling scheme.

[0088] Specifically, based on the optimal scheduling scheme and the same cascade hydropower, wind power, and solar power generation model in the same watershed, and the IEEE 10-machine 39-node system, simulation experiments were conducted using only two comparative scenarios. The first scenario is a cascade hydropower, wind power, and solar power generation model without considering any energy storage; the second scenario is a cascade hydropower, wind power, solar power, and energy storage model considering only a single type of energy storage (electrochemical energy storage). Operational data from these two scenarios were obtained and compared with the scheduling results of the model in this invention.

[0089] In another alternative implementation, the integrated model of multi-energy complementarity of water, wind, solar and storage can be verified based on the optimal scheduling scheme, a simplified system architecture and historical data.

[0090] Specifically, one local node network was selected as the test system; simultaneously, the number of cascade hydropower stations used for verification was reduced from four to two. Based on this simplified system, four simulation experiments were conducted in scenarios similar to the original scheme. Data sources were based on sampling or simplified processing of some historical data, which was used to demonstrate the comparative results under different scenarios.

[0091] Example 3 is the third embodiment of the present invention, which differs from the previous two embodiments in that: This embodiment also provides a cascade hydropower, wind power, solar power, and energy storage integrated dispatching system for multi-energy complementary systems, including: The integrated model construction module constructs a multi-energy complementary integrated model based on the basic data of cascade hydropower stations, wind farms, photovoltaic power stations and energy storage equipment in the basin, supporting multi-energy coordinated scheduling calculations; The power plant constraint management module introduces the unique operating constraints of hybrid pumped storage power plants into the integrated model to ensure that the model conforms to the actual operating conditions of the power plant. The upper-level optimization scheduling module takes minimizing the peak-to-valley difference of the grid net load as the objective function, and combines the constraints of the hybrid pumped storage power station to perform upper-level optimization scheduling, maximizing the utilization of the regulation capacity of hydropower and energy storage. The net load output module solves the upper-level optimization model, generates the optimal output plan for the integrated system at each time period, and outputs the smoothed initial net load curve to provide input for the lower-level optimization. The lower-level optimization and scheduling module takes minimizing the overall system operating cost as the objective function, performs lower-level optimization based on the initial net load curve, and generates the economically optimal scheduling scheme. The simulation verification and comparative analysis module, based on the optimal scheduling scheme, sets up comparative scenarios through simulation experiments to verify the comprehensive performance and advantages of the integrated multi-energy complementary model of water, wind, solar and storage.

[0092] This embodiment also provides an electronic device applicable to the integrated scheduling of cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the integrated scheduling method of cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as proposed in the above embodiment.

[0093] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a cascade hydro-wind-solar-storage integrated scheduling method for a multi-energy complementary system as proposed in the above embodiment.

[0094] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for integrated scheduling of cascade hydropower, wind power, solar power and storage for multi-energy complementary systems proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0095] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for integrated scheduling of cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system, characterized in that: include, Based on the cascade hydropower stations and equipment in the basin, an integrated model of multi-energy complementarity of water, wind, solar and storage is constructed; Based on the integrated model of multi-energy complementarity of water, wind, solar and storage, the constraints unique to hybrid pumped storage power stations are introduced. Using the constraints unique to hybrid pumped storage power stations, upper-level optimization is performed with minimizing the peak-to-valley difference of the grid net load as the primary objective function. By solving the multi-energy complementary integrated model using the first objective function, the optimal power output plan of the integrated system is obtained, and the initial net load curve is output. Using the initial net load curve as the second objective function, we perform lower-level optimization to obtain the optimal scheduling scheme. Based on the optimal scheduling scheme, simulation experiments were conducted to set up comparative scenarios and verify the integrated model of multi-energy complementarity of water, wind, solar and storage.

2. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as described in claim 1, characterized in that: The aforementioned integrated model for multi-energy complementarity, including hydropower, wind power, solar power, and energy storage, is constructed based on cascade hydropower stations and equipment in a river basin. The conventional cascade hydropower stations in the system will be transformed into hybrid pumped storage power stations that can utilize downstream river water, thus constructing an integrated model that complements multiple energy sources such as water, wind, solar, and storage.

3. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as described in claim 2, characterized in that: The integrated model based on multi-energy complementarity of hydropower, wind power, solar power, and energy storage incorporates constraints unique to hybrid pumped storage power stations, including... By coordinating the output of each power source in the complementary system model and satisfying system constraints, including the operational constraints of the hybrid pumped storage power station.

4. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as described in claim 3, characterized in that: The aforementioned upper-level optimization employs constraints unique to hybrid pumped storage power stations, with minimizing the peak-to-valley difference of the grid's net load as the primary objective function. This includes... The primary objective function is to minimize the peak-to-valley difference of the net load of the power grid within the scheduling cycle, thereby maximizing the flexible adjustment capabilities of hydropower and energy storage for upper-level optimization.

5. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage systems as described in claim 4, characterized in that: The process involves solving the multi-energy complementary integrated model using the first objective function to obtain the optimal power output plan of the integrated system and outputting the initial net load curve, including... Solve the upper-level model to obtain the optimal output plan for each time period of the integrated system that minimizes the peak-valley difference, and update it to obtain a smooth initial net load curve, which is then passed to the lower-level model. Cascade hybrid pumped storage power stations meet the constraints of conventional cascade hydropower stations, and should also meet the following constraints: Water balance constraints: in, Cascade hydropower units exist The water storage capacity at any given time. Cascade hydropower units exist The water storage capacity at any given time. for The first period Inflow of cascade hydropower stations for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations at present Water flow rate for Cascade hydropower stations Pumping flow rate during the period for Cascade hydropower stations Pumping flow rate during a given time period; Power plant pumping flow constraints: in, This refers to the pumping flow rate of a cascade hybrid pumped storage power station. This is the upper limit of the pumping flow rate for a hybrid pumped storage power station. This is the lower limit of the pumping flow rate for a hybrid pumped storage power station. The mutual exclusion constraint between pumping and power generation in a cascade hybrid pumped storage power station represents the power station's... It is not possible to generate electricity and pump water simultaneously: in, For hydroelectric generator units exist Contributing effort at all times, This represents the maximum active power output of the hydroelectric generator unit. It is a binary state variable. This refers to the pumping power of the pumped storage power station. This refers to the maximum pumping power of the pumped storage power station. Power limitations of hybrid pumped storage power stations: in, This refers to the pumping power. This is the upper limit of pumping power. This is the lower limit of pumping power.

6. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as described in claim 5, characterized in that: The process involves using the initial net load curve as the initial objective function, minimizing the overall system operating cost, and performing lower-level optimization to obtain the optimal scheduling scheme. This includes... With minimizing the overall system operating cost as the second objective function, lower-level optimization is performed, as shown in the following formula: in, For the cost of generating electricity from thermal power units, For the operation and maintenance costs of new energy units, To cover the costs of curtailing solar and wind power, For tiered carbon trading costs, For energy storage costs; The lower-level constraints are as follows: Power balance constraints: in, For hydroelectric generator units exist Contributing effort at all times, Contribute to the integrated hydropower, wind power, solar power, and energy storage system. for The workload at any given moment is active power output; Thermal power unit operating constraints: in, This is the minimum active power output of a thermal power unit. This represents the maximum active power output of the thermal power unit. The maximum downward adjustment rate of thermal power units, The maximum upward adjustment rate of thermal power units, for The active power output of thermal power units at all times. for The active power output of thermal power units at all times; Channel capacity constraints: in, For the first Taiwan hydroelectric power unit Contributing effort at all times, The number of pumped storage power stations connected to the Lth transmission channel. For the first Typhoon turbine Contributing effort at all times, The number of wind power stations connected to the Lth transmission channel. For the first Taiwan photovoltaic units Contributing effort at all times, The number of photovoltaic power plants connected to the Lth transmission channel. For the first Taiwan Hybrid Pumped Storage Power Station Contributing effort at all times, The number of hybrid pumped storage power stations connected to the Lth transmission channel. Let L be the capacity of the Lth transmission channel.

7. The integrated scheduling method for cascade hydropower, wind power, solar power, and energy storage in a multi-energy complementary system as described in claim 6, characterized in that: The aforementioned method, based on an optimal scheduling scheme, verifies the integrated multi-energy complementary model of hydropower, wind power, solar power, and energy storage through simulation experiments and comparative scenarios. This paper uses a watershed cascade example to illustrate the data and solution process, and presents comparative analysis results to verify the comprehensive performance and advantages of the integrated model of multi-energy complementarity of water, wind, solar and storage.

8. A cascade hydropower, wind power, solar power, and energy storage integrated dispatching system for a multi-energy complementary system, employing the method for cascade hydropower, wind power, solar power, and energy storage integrated dispatching as described in any one of claims 1 to 7, characterized in that, include: The integrated model construction module constructs a multi-energy complementary integrated model based on the basic data of cascade hydropower stations, wind farms, photovoltaic power stations and energy storage equipment in the basin, supporting multi-energy coordinated scheduling calculations; The power plant constraint management module introduces the unique operating constraints of hybrid pumped storage power plants into the integrated model to ensure that the model conforms to the actual operating conditions of the power plant. The upper-level optimization scheduling module takes minimizing the peak-to-valley difference of the grid net load as the objective function, and combines the constraints of the hybrid pumped storage power station to perform upper-level optimization scheduling, maximizing the utilization of the regulation capacity of hydropower and energy storage. The net load output module solves the upper-level optimization model, generates the optimal output plan for the integrated system at each time period, and outputs the smoothed initial net load curve to provide input for the lower-level optimization. The lower-level optimization and scheduling module takes minimizing the overall system operating cost as the objective function, performs lower-level optimization based on the initial net load curve, and generates the economically optimal scheduling scheme. The simulation verification and comparative analysis module, based on the optimal scheduling scheme, sets up comparative scenarios through simulation experiments to verify the comprehensive performance and advantages of the integrated multi-energy complementary model of water, wind, solar and storage.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the integrated scheduling method for cascade hydropower, wind power, solar power and energy storage for a multi-energy complementary system as described in any one of claims 1 to 7.

10. A 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 steps of the integrated scheduling method for cascade hydropower, wind power, solar power and energy storage for a multi-energy complementary system as described in any one of claims 1 to 7.

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