A method, system, device and medium for scheduling an energy supply station

Abstract

The application discloses a kind of scheduling method, system, equipment and medium of energy supply station, which comprises: the physical quantity operation data of integrated energy supply station is collected in real time, at least including the upper limit value of real-time bearing capacity of distribution network, the output power of photovoltaic unit, real-time load of direct-current charging terminal and the current hydrogen production load of electrolytic cell;On the basis of the preset boundary constraint model of multiple physical quantities, the total power demand in the station is calculated in real time according to the output power, real-time load and current hydrogen production load;The total power demand in the station is compared with the upper limit value in real time;When it is determined that the total power demand in the station is greater than or equal to the upper limit value, the collaborative control instruction containing load adjustment and energy support is generated for scheduling. By using the application, the integrated planning of photovoltaic, charging and hydrogen production can be realized, and when the load exceeds the limit, the collaborative intervention can be triggered in time, the overload trip hidden danger can be eliminated, the charging power can be avoided to be limited in a large range, and the stability of scheduling and the system impact resistance can be significantly improved.

Description

Technical Field

[0001] This invention application relates to the field of power dispatching, and more particularly to a dispatching method, system, equipment and medium for energy supply stations. Background Technology

[0002] With the global energy transition, the decarbonization process in the transportation sector has accelerated significantly, and the penetration rate of pure electric vehicles and hydrogen fuel cell vehicles continues to increase. Traditional single charging stations or hydrogen refueling stations, due to their poor resilience and low equipment utilization, can no longer meet the growing and diversified energy replenishment needs. Integrated electro-hydrogen energy replenishment stations, which combine photovoltaic power generation, electrochemical energy storage, water electrolysis for hydrogen production, and DC charging terminals for electric vehicles, have emerged to address this need. In these complex microgrid systems containing highly volatile power sources and highly random and impulsive loads, the operation and scheduling method plays a central control role. Its core task is to perform real-time power allocation among the municipal power grid, local distributed power sources, energy storage devices, and multi-medium energy-consuming loads, aiming to achieve a dynamic balance of energy flow across multiple physical fields while ensuring the physical safety of the system.

[0003] Existing integrated energy station dispatching schemes typically treat the photovoltaic units, electrolyzers, and DC charging terminals within the station as independent and parallel control subsystems, mostly relying on static capacity limits or fixed timing rules for fragmented dispatching. However, the DC fast charging load for electric vehicles is highly unpredictable and unevenly distributed in time and space. In actual operation, when encountering extreme charging peaks with a large number of vehicles simultaneously connecting, if the electrolyzers within the station continue to consume electricity to produce hydrogen as a rigid load according to independent control commands, the surge in fast charging load combined with the basic hydrogen production load will easily approach or even exceed the rated carrying capacity limit of the local distribution transformer. The aforementioned existing technologies either cause transformer tripping and power outages due to overload or are forced to significantly limit the output power of the chargers, severely sacrificing the charging experience for electric vehicle users, thus resulting in poor dispatching stability. Summary of the Invention

[0004] This invention application provides a scheduling method, system, equipment, and medium for energy supply stations to solve the technical problem of how to improve the stability of scheduling.

[0005] To address the aforementioned technical problems, this invention provides a scheduling method for an energy replenishment station, applicable to an integrated energy replenishment station, which includes a photovoltaic unit, an electrolytic cell, and a DC charging terminal. The scheduling method includes: The physical quantity operation data of the integrated energy supply station are collected in real time; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer; Based on the preset boundary constraint model of multiple physical quantities, the current total power demand in the station is calculated in real time according to the output power, the real-time load and the current hydrogen production load. The total power demand within the station is compared with the upper limit value in real time; when it is determined that the total power demand within the station is greater than or equal to the upper limit value, a coordinated control command including load regulation and energy support is generated; The integrated energy supply station is scheduled according to the coordinated control command.

[0006] As a preferred embodiment, the integrated energy supply station also includes an electrochemical energy storage unit; The generation of coordinated control commands that include load regulation and energy support, and the scheduling of the integrated energy supply station according to the coordinated control commands, includes: Generate a load regulation command to instruct the electrolyzer to shut down, thereby cutting off the power-consuming branch in the integrated energy supply station that converts electrical energy into hydrogen energy; An energy support command is generated to instruct the electrochemical energy storage unit to switch from a charging state or a standby state to a discharging state, so that the electrochemical energy storage unit and the power distribution network jointly support the power supply of the DC charging terminal, thereby realizing the scheduling of the integrated energy supply station.

[0007] As a preferred embodiment, the method for obtaining the real-time load of the DC charging terminal includes: By establishing a real-time data link with each of the DC charging terminals, the current and voltage of each DC charging terminal, as well as the battery state of charge reported by the battery management system of the connected vehicle, are read. The current instantaneous total charging power is calculated based on the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle. The real-time load of the DC charging terminal is determined based on the instantaneous total charging power.

[0008] As a preferred embodiment, the integrated energy supply station also includes a hydrogen storage system and a hydrogen refueling terminal; The multi-physical quantity preset boundary constraint model includes safety boundary constraints, dynamic conservation constraints of electric power, and dynamic conservation constraints of hydrogen mass. The safety boundary constraints include: the charging and discharging power of the electrochemical energy storage unit does not exceed the rated threshold and the state of charge is within a preset charging range; the operating power of the electrolytic cell is within a preset ratio range of the rated power; and the fluctuation of the DC bus voltage is within a preset safety dead zone. The dynamic conservation constraint of electrical power includes: the sum of the grid input power, the output power of the photovoltaic unit and the discharge power of the electrochemical energy storage unit is equal to the real-time load of the DC charging terminal, the current hydrogen production load of the electrolyzer and the charging power of the electrochemical energy storage unit; The dynamic conservation constraint of hydrogen mass is: the sum of the hydrogen production rate of the electrolyzer and the external hydrogen unloading rate is equal to the sum of the hydrogen consumption rate of the hydrogen refueling terminal and the rate of change of the hydrogen storage capacity of the hydrogen storage system.

[0009] As a preferred embodiment, the scheduling method includes: When it is determined that the total power demand within the station is less than the upper limit, it is determined whether the preset cross-medium conversion triggering conditions are met simultaneously; wherein, the cross-medium conversion triggering conditions include: the current peak electricity price of the power grid, and the local hydrogen energy equivalent weight value calculated based on the external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under the peak period, and the state of charge of the electrochemical energy storage unit is higher than the preset supply guarantee lower limit threshold; When the cross-medium conversion triggering condition is met, the mains power supply to the electrolyzer is cut off, the electrochemical energy storage unit is controlled to discharge, and the electrolyzer is controlled to absorb the electrical energy released by the electrochemical energy storage unit to produce hydrogen.

[0010] As a preferred embodiment, the scheduling method further includes: The real-time state of charge of the electrochemical energy storage unit is continuously monitored at a preset control cycle; When the real-time state of charge is detected to drop to the preset lower limit threshold, the electrochemical energy storage unit is controlled to stop discharging, and the electrolytic cell is controlled to enter standby mode.

[0011] As a preferred embodiment, the scheduling method further includes: When it is determined that the current period is not a valley period and the output power is greater than the real-time load, the portion of the output power that exceeds the real-time load is regarded as surplus photovoltaic power. The marginal benefit parameters of the surplus photovoltaic power are calculated in real time for each of the different consumption paths. The consumption paths include charging the electrochemical energy storage unit, driving the electrolyzer to produce hydrogen, and feeding surplus electricity to the grid. The marginal benefit parameter of charging the electrochemical energy storage unit is determined based on the peak-hour electricity purchase cost saved by storing electricity for release during peak hours. The marginal benefit parameter of driving the electrolyzer to produce hydrogen is determined based on the parameter value of the real-time hydrogen sales price converted to the unit electricity consumption. The marginal benefit parameter of feeding surplus electricity to the grid is determined based on the real-time buyback price of photovoltaic surplus electricity from the grid. The surplus photovoltaic power is allocated to each consumption path in descending order of marginal benefit parameter.

[0012] Accordingly, this application also provides a scheduling system for an energy replenishment station, applied to an integrated energy replenishment station, the integrated energy replenishment station including a photovoltaic unit, an electrolytic cell and a DC charging terminal; The scheduling system includes a data acquisition module, a calculation module, a comparison module, and a scheduling module; wherein, The acquisition module is used to acquire physical quantity operation data of the integrated energy supply station in real time; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer; The calculation module is used to calculate the current total power demand in the station in real time based on the output power, the real-time load and the current hydrogen production load, according to the preset boundary constraint model of multiple physical quantities. The comparison module is used to compare the total power demand within the station with the upper limit value in real time. The scheduling module is used to generate a coordinated control command that includes load regulation and energy support when it is determined that the total power demand in the station is greater than or equal to the upper limit value, and to schedule the integrated energy supply station according to the coordinated control command.

[0013] As a preferred embodiment, the integrated energy supply station also includes an electrochemical energy storage unit; The scheduling module generates coordinated control commands that include load regulation and energy support, and schedules the integrated energy supply station according to the coordinated control commands, including: The scheduling module generates a load regulation command to instruct the electrolyzer to shut down, thereby cutting off the power-consuming branch in the integrated energy supply station that converts electrical energy into hydrogen energy. An energy support command is generated to instruct the electrochemical energy storage unit to switch from a charging state or a standby state to a discharging state, so that the electrochemical energy storage unit and the power distribution network jointly support the power supply of the DC charging terminal, thereby realizing the scheduling of the integrated energy supply station.

[0014] As a preferred embodiment, the method for obtaining the real-time load of the DC charging terminal includes: The acquisition module reads the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle through a real-time data link established with each DC charging terminal. The current instantaneous total charging power is calculated based on the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle. The real-time load of the DC charging terminal is determined based on the instantaneous total charging power.

[0015] As a preferred embodiment, the integrated energy supply station also includes a hydrogen storage system and a hydrogen refueling terminal; The multi-physical quantity preset boundary constraint model includes safety boundary constraints, dynamic conservation constraints of electric power, and dynamic conservation constraints of hydrogen mass. The safety boundary constraints include: the charging and discharging power of the electrochemical energy storage unit does not exceed the rated threshold and the state of charge is within a preset charging range; the operating power of the electrolytic cell is within a preset ratio range of the rated power; and the fluctuation of the DC bus voltage is within a preset safety dead zone. The dynamic conservation constraint of electrical power includes: the sum of the grid input power, the output power of the photovoltaic unit and the discharge power of the electrochemical energy storage unit is equal to the real-time load of the DC charging terminal, the current hydrogen production load of the electrolyzer and the charging power of the electrochemical energy storage unit; The dynamic conservation constraint of hydrogen mass is: the sum of the hydrogen production rate of the electrolyzer and the external hydrogen unloading rate is equal to the sum of the hydrogen consumption rate of the hydrogen refueling terminal and the rate of change of the hydrogen storage capacity of the hydrogen storage system.

[0016] As a preferred embodiment, the scheduling system includes a hydrogen production module, which is used for: When it is determined that the total power demand within the station is less than the upper limit, it is determined whether the preset cross-medium conversion triggering conditions are met simultaneously; wherein, the cross-medium conversion triggering conditions include: the current peak electricity price of the power grid, and the local hydrogen energy equivalent weight value calculated based on the external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under the peak period, and the state of charge of the electrochemical energy storage unit is higher than the preset supply guarantee lower limit threshold; When the cross-medium conversion triggering condition is met, the mains power supply to the electrolyzer is cut off, the electrochemical energy storage unit is controlled to discharge, and the electrolyzer is controlled to absorb the electrical energy released by the electrochemical energy storage unit to produce hydrogen.

[0017] As a preferred embodiment, the scheduling system further includes a control module, which is used for: The real-time state of charge of the electrochemical energy storage unit is continuously monitored at a preset control cycle; When the real-time state of charge is detected to drop to the preset lower limit threshold, the electrochemical energy storage unit is controlled to stop discharging, and the electrolytic cell is controlled to enter standby mode.

[0018] As a preferred embodiment, the scheduling system further includes an allocation module, which is used for: When it is determined that the current period is not a valley period and the output power is greater than the real-time load, the portion of the output power that exceeds the real-time load is regarded as surplus photovoltaic power. The marginal benefit parameters of the surplus photovoltaic power are calculated in real time for each of the different consumption paths. The consumption paths include charging the electrochemical energy storage unit, driving the electrolyzer to produce hydrogen, and feeding surplus electricity to the grid. The marginal benefit parameter of charging the electrochemical energy storage unit is determined based on the peak-hour electricity purchase cost saved by storing electricity for release during peak hours. The marginal benefit parameter of driving the electrolyzer to produce hydrogen is determined based on the parameter value of the real-time hydrogen sales price converted to the unit electricity consumption. The marginal benefit parameter of feeding surplus electricity to the grid is determined based on the real-time buyback price of photovoltaic surplus electricity from the grid. The surplus photovoltaic power is allocated to each consumption path in descending order of marginal benefit parameter.

[0019] Accordingly, this application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the energy replenishment station scheduling method.

[0020] Accordingly, this application also provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the energy supply station scheduling method.

[0021] Compared with the prior art, this invention application has the following beneficial effects: This invention provides a scheduling method, system, equipment, and medium for energy replenishment stations. Compared to existing technologies that treat photovoltaic units, electrolyzers, and DC charging terminals as independent and parallel control subsystems for scheduling, this invention collects real-time physical quantity operation data of the integrated energy replenishment station. Based on a multi-physical quantity preset boundary constraint model, it calculates the current total power demand within the station in real time according to the output power of the photovoltaic units, the real-time load of the DC charging terminals, and the current hydrogen production load of the electrolyzers. This calculation is used to generate targeted coordinated control commands for scheduling. In obtaining these coordinated control commands, the invention achieves comprehensive consideration and coordination of photovoltaic, charging, and hydrogen production, avoiding scheduling issues caused by a lack of information between subsystems. This invention improves the reliability of dispatching by eliminating energy conflicts or waste caused by information interaction. Furthermore, it compares the calculated total power demand within the station with the upper limit of the real-time carrying capacity of the distribution network in real time. When the total power demand is determined to be greater than or equal to the upper limit, a coordinated control command is generated and dispatching is performed. This changes the current situation of passively bearing load shocks. By setting the upper limit of the distribution network carrying capacity as a rigid boundary, and triggering the generation of a coordinated control command that includes load regulation and energy support when the demand exceeds the limit (greater than or equal to the upper limit), such dispatching enables the integrated energy supply station to intervene in a timely manner, eliminate the safety hazards of overload tripping, and enhance the shock resistance and operational stability of the supply station microgrid system. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating an embodiment of the energy replenishment station scheduling method provided in this invention application.

[0023] Figure 2 This is a schematic diagram of the topology of an embodiment of the integrated energy supply station provided in this application.

[0024] Figure 3 This is a schematic diagram of an embodiment of the energy supply station dispatching system provided in this application. Detailed Implementation

[0025] 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.

[0026] Example 1 Please refer to Figure 1 , Figure 1 This is a flowchart illustrating an embodiment of the energy replenishment station scheduling method provided in this invention application.

[0027] Figure 1 The embodiment shown is applied to an integrated energy supply station, which includes at least a photovoltaic unit, an electrolyzer, a DC charging terminal, an electrochemical energy storage unit, a hydrogen storage system, and a hydrogen refueling terminal.

[0028] In this embodiment, the integrated energy supply station adopts an AC / DC hybrid microgrid architecture, and a DC bus is set up in the station as the core hub for the flow of electricity throughout the station.

[0029] Specifically, a topology diagram of one embodiment of an integrated energy supply station is shown below. Figure 2As shown, the integrated energy supply station is connected to the external power distribution network via an AC grid-connected switch. A bidirectional AC / DC converter is connected downstream of the grid-connected switch. The AC side of the bidirectional AC / DC converter is connected to the power distribution network, and the DC side is connected to the DC bus. The photovoltaic unit is deployed on the top of the supply station's canopy, and its output is connected to the DC bus via a unidirectional DC / DC converter to achieve unidirectional injection of photovoltaic power. The charging and discharging ports of the electrochemical energy storage unit are connected to the DC bus via a bidirectional DC / DC converter to smooth photovoltaic fluctuations, store off-peak energy, and provide DC power support for other equipment within the station under specific operating conditions. The power input of the electrolytic cell is connected via a unidirectional DC / DC converter. The converter is connected to the DC bus and operates as a flexible and adjustable load on the DC bus, performing only unidirectional conversion of electrical energy to hydrogen energy. The DC charging terminal is connected to the DC bus via a DC / DC converter and is used to charge electric vehicles. The hydrogen storage system consists of multiple fixed high-pressure gas storage tanks, with two inlet channels and one outlet channel. The first inlet channel is connected to the outlet of the electrolyzer via a pipeline and a compressor to receive locally produced hydrogen, and the second inlet channel is connected to the docking port of an external hydrogen transport vehicle to receive externally transported hydrogen. The inlet of the hydrogen refueling terminal is connected to the outlet channel of the hydrogen storage system via a pipeline and a pressure regulating valve to refuel hydrogen fuel cell vehicles.

[0030] Under the above architecture, electrical energy can flow directly between units within the station only through the DC bus and the corresponding DC / DC converter, avoiding multi-stage conversion losses from DC to AC to DC. Preferably, the voltage of the DC bus can be 750V or 1000V.

[0031] It should be noted that the electrochemical energy storage unit can be a lithium-ion battery, a flow battery, a supercapacitor array, or a flywheel energy storage system, as long as it can serve as an energy buffer unit on the DC bus and store and release electrical energy according to instructions; the electrolytic cell can be an alkaline electrolytic cell, a proton exchange membrane electrolytic cell, or a solid oxide electrolytic cell; in addition to using a single DC bus, a dual DC bus hierarchical architecture can also be adopted, that is, a high-voltage DC bus connecting the photovoltaic unit and the electrochemical energy storage unit, and a low-voltage DC bus connecting the DC charging terminal and the electrolytic cell, the two being cascaded through a bidirectional DC / DC converter. The scheduling method of this embodiment is executed by the energy management system configured in the integrated energy supply station, and the energy management system establishes a data acquisition and command issuance connection with the controllers of each hardware module in the station through an industrial communication bus.

[0032] Figure 1 The scheduling method shown includes steps S101 to S104; each step is described in detail below: Step S101: Real-time acquisition of physical quantity operation data of the integrated energy supply station; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer.

[0033] Specifically, the energy management system collects multi-dimensional data in real time from various hardware modules within the station via an industrial communication bus. In addition to the aforementioned physical quantity operation data, the collected data may also include grid time-of-use electricity prices, real-time hydrogen sales prices, shared costs of external hydrogen transportation and distribution, DC bus voltage, the real-time state of charge of the electrochemical energy storage unit, and the real-time hydrogen storage status of the hydrogen storage system, for use in subsequent dispatch decisions. Furthermore, historical data and weather forecasts can be combined to generate rolling predictions of the photovoltaic output curve and vehicle arrival charging load curve for the next 24 hours, serving as an auxiliary reference for dispatch decisions. The purpose of this step is to provide a complete data foundation for the real-time calculation of the station's total power demand and the determination of over-limit conditions.

[0034] In some preferred embodiments, the method for obtaining the real-time load of the DC charging terminal includes: By establishing a real-time data link with each of the DC charging terminals, the current and voltage of each DC charging terminal, as well as the battery state of charge reported by the battery management system of the connected vehicle, are read. The current instantaneous total charging power is calculated based on the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle. The real-time load of the DC charging terminal is determined based on the instantaneous total charging power.

[0035] Specifically, the energy management system establishes a real-time data link with all DC charging terminals within the station via an industrial communication protocol. It reads the current and voltage of each DC charging terminal, as well as the current battery state of charge reported by the battery management system of the connected vehicle, and calculates the current instantaneous total charging power P based on this. current : ; Where N is the number of DC charging terminals currently charging, and P pile_i The charging power of the i-th DC charging terminal is defined as the real-time load of the DC charging terminal. In other embodiments, a sliding window algorithm can be used to predict the willingness of vehicles to access the station within a preset time period (e.g., the next 15 minutes). This involves recording the frequency of vehicles arriving at the station during the same historical period and combining this with the vehicle position sensor signals in the current queuing area to estimate the power demand P of vehicles about to enter the charging state. futureThen, the predicted power demand is added to the real-time total charging power to jointly determine the real-time load of the DC charging terminal, thereby enabling a certain predictive ability for determining overload.

[0036] Step S102: Based on the preset boundary constraint model of multiple physical quantities, calculate the current total power demand in the station in real time according to the output power, the real-time load and the current hydrogen production load.

[0037] Specifically, the total power demand within the station is used to characterize the net power demand that currently needs to be carried by the distribution network. Based on the safe operating range and power balance relationship defined by the preset boundary constraint model, the energy management system calculates the current total power demand within the station in real time by subtracting the output power of the photovoltaic unit from the sum of the real-time load of the DC charging terminal and the current hydrogen production load of the electrolyzer. It can be understood that the output power, as the supply of the station's own power source, can offset part of the electricity demand locally; therefore, the total power demand within the station changes in real time with changes in photovoltaic output, charging load, and hydrogen production load.

[0038] In this embodiment, the preset boundary constraint model of the multiple physical quantities includes safety boundary constraints, dynamic conservation constraints of electric power, and dynamic conservation constraints of hydrogen mass; The safety boundary constraints include: the charging and discharging power of the electrochemical energy storage unit does not exceed the rated threshold and the state of charge is within a preset charging range; the operating power of the electrolytic cell is within a preset ratio range of the rated power; and the fluctuation of the DC bus voltage is within a preset safety dead zone. The power dynamic conservation constraint includes: the sum of the grid input power, the output power of the photovoltaic unit and the discharge power of the electrochemical energy storage unit is equal to the real-time load of the DC charging terminal, the current hydrogen production load of the electrolyzer and the charging power of the electrochemical energy storage unit; The dynamic conservation constraint of hydrogen mass is: the sum of the hydrogen production rate of the electrolyzer and the external hydrogen unloading rate is equal to the sum of the hydrogen consumption rate of the hydrogen refueling terminal and the rate of change of the hydrogen storage capacity of the hydrogen storage system.

[0039] Specifically, the preset charge range can be, for example, 10% to 90%, and the preset proportion range can be, for example, 20% to 100% of the rated power. The dynamic power conservation constraint can be expressed as: P grid +P pv +P ess_dis =P load +P p2h +P ess_ch ; Where P grid P is the power input to the power grid.pv P is the output power of the photovoltaic unit. ess_dis P represents the discharge power of the electrochemical energy storage unit. ess_ch P is the charging power of the electrochemical energy storage unit. load P is the real-time load of the DC charging terminal. p2h This represents the current hydrogen production load of the electrolyzer.

[0040] The energy management system continuously adjusts the power of the electrochemical energy storage unit and the electrolyzer—two flexible variables—to ensure that the power on the DC bus returns to zero in real time. The dynamic conservation constraint on hydrogen mass can be expressed as: M p2h +M trailer =M hfcv +ΔM hss ; Where M p2h M represents the hydrogen production rate of the electrolyzer. trailer M represents the external hydrogen unloading rate. hfcv Let ΔM be the hydrogen consumption rate of the hydrogen refueling terminal. hss The rate of change of the hydrogen storage capacity of the hydrogen storage system is given.

[0041] Furthermore, the energy management system also monitors the voltage and frequency status at the AC grid connection interface in real time. If it detects that the mains voltage drops below the preset safety dead zone or a power outage occurs, it immediately triggers the islanding emergency mode, forcibly shuts down the AC grid connection switch, controls the electrochemical energy storage unit to provide the main reference voltage for the DC bus, and issues an emergency shutdown command to the electrolytic cell. It prioritizes using the remaining power in the entire station to support the charging service of the DC charging terminal, ensuring that the core business within the station is not interrupted.

[0042] Step S103: Compare the total power demand within the station with the upper limit value in real time.

[0043] Specifically, based on the total power demand within the station calculated in real time in step S102, the energy management system compares it with the upper limit of the real-time carrying capacity of the distribution network collected in step S101 in real time on a cycle basis to determine whether the current power demand within the station is approaching or exceeding the carrying capacity boundary of the distribution network.

[0044] By setting the upper limit as a rigid boundary and performing real-time comparison, the critical point of demand exceeding the limit can be captured in a timely manner under the condition of load surge, providing a basis for triggering subsequent scheduling actions; depending on the comparison result, this embodiment executes different scheduling branches: when the total power demand in the station is greater than or equal to the upper limit, step S104 is executed; when the total power demand in the station is less than the upper limit, the cross-media conversion judgment described below can be further executed.

[0045] Step S104: When it is determined that the total power demand in the station is greater than or equal to the upper limit value, a coordinated control command including load regulation and energy support is generated, and the integrated energy supply station is scheduled according to the coordinated control command.

[0046] Specifically, the load regulation part of the coordinated control command is used to respond negatively to the adjustable load within the station, and the energy support part is used to call on the energy storage resources within the station to provide power support for the power supply. The two work together to achieve timely intervention in over-limit demands.

[0047] At the command execution level, the energy management system adopts a three-level architecture: system-level scheduling, converter-level dual closed-loop control, and pulse width modulation (PWM) pulse generation. The energy management system calculates reference values ​​such as target power or target bus voltage for each controlled unit based on the current scheduling decision and sends them to the local microcontroller of the corresponding converter via the industrial bus. The local microcontroller internally runs a dual closed-loop algorithm with an outer voltage loop and an inner current loop. The outer loop subtracts the reference value from the actual sensor-acquired value and generates a current reference command via the outer loop proportional-integral (PI) regulator. The inner loop subtracts the current reference command from the actual inductor current and calculates the required modulation signal via the inner loop PI regulator. The PWM generation module inside the local microcontroller compares the modulation signal with an internally generated high-frequency triangular carrier wave and outputs a drive pulse sequence with the corresponding duty cycle. This pulse is amplified by the drive circuit and controls the switching transistors inside the converter to turn on and off, thereby precisely executing the scheduling command.

[0048] Furthermore, during any scheduling execution, the energy management system re-retrieves sensor data at preset step intervals (e.g., every 5 minutes) and returns to step S101. If a sudden weather change causes a sharp drop in photovoltaic output or a large influx of certain types of vehicles, the system will re-determine and switch scheduling actions in the next control cycle, forming a closed-loop rolling scheduling. As an alternative to centralized command issuance, the controllers of various hardware devices within the station can also sense DC bus voltage fluctuations and price signals through a preset distributed consensus algorithm, autonomously determining their respective power outputs to achieve decentralized coordinated control.

[0049] In some preferred embodiments, step S104, which involves generating a coordinated control command that includes load regulation and energy support, and scheduling the integrated energy supply station according to the coordinated control command, includes: Generate a load regulation command to instruct the electrolyzer to shut down, thereby cutting off the power-consuming branch in the integrated energy supply station that converts electrical energy into hydrogen energy; An energy support command is generated to instruct the electrochemical energy storage unit to switch from a charging state or a standby state to a discharging state, so that the electrochemical energy storage unit and the power distribution network jointly support the power supply of the DC charging terminal, thereby realizing the scheduling of the integrated energy supply station.

[0050] Specifically, when the total power demand in the station exceeds the limit, the energy management system determines that ensuring the charging service is not degraded has the highest priority, and therefore forcibly issues a shutdown command to the electrolyzer. Since the electrolyzer is the only node on the DC bus that converts electrical energy into hydrogen energy, shutting down the electrolyzer cuts off the only power-consuming branch for electrical-to-hydrogen conversion in the station, allowing the electrolyzer to complete a negative response as a flexible and adjustable load, and the total power demand in the station drops directly.

[0051] Simultaneously, the energy management system instructs the electrochemical energy storage unit to switch from charging or standby mode to discharging mode, discharging at full power to the DC bus, and jointly supporting the high-power DC charging terminal with the electrical energy input from the distribution network. During this period, the hydrogen refueling demand of the hydrogen fuel cell vehicle is met by the existing hydrogen in the hydrogen storage system or by external hydrogen transportation, unaffected by the shutdown of the electrolyzer. Therefore, this preferred solution, without expanding the power distribution capacity, eliminates the safety hazard of overload tripping of the distribution transformer through the bidirectional synergy of reducing hydrogen production load and releasing energy storage power, while avoiding the situation of sacrificing the refueling experience due to large-scale limitation of the DC charging terminal output power.

[0052] Preferably, the scheduling method further includes: When it is determined that the total power demand within the station is less than the upper limit, it is determined whether the preset cross-medium conversion triggering conditions are met simultaneously; wherein, the cross-medium conversion triggering conditions include: the current peak electricity price of the power grid, and the local hydrogen energy equivalent weight value calculated based on the external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under the peak period, and the state of charge of the electrochemical energy storage unit is higher than the preset supply guarantee lower limit threshold; When the cross-medium conversion triggering condition is met, the mains power supply to the electrolyzer is cut off, the electrochemical energy storage unit is controlled to discharge, and the electrolyzer is controlled to absorb the electrical energy released by the electrochemical energy storage unit to produce hydrogen.

[0053] Specifically, the peak electricity price period may include peak hours or peak periods, during which the overall energy efficiency benefit of directly purchasing electricity from the distribution network to produce hydrogen is extremely low. The energy management system has a preset electricity-hydrogen conversion efficiency evaluation function. When the local hydrogen energy equivalent weight value calculated based on the current external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under peak hours, the second condition is determined to be met. The preset supply guarantee lower limit threshold can be, for example, 30%. A state of charge higher than this threshold indicates that the electrochemical energy storage unit currently has sufficient power and is capable of discharging to produce hydrogen. When the above three conditions are met simultaneously, the energy management system sends a power limiting or even zero power input command to the bidirectional AC / DC converter connected to the distribution network to cut off the mains power supply to the electrolyzer. At the same time, it commands the bidirectional DC / DC converter of the electrochemical energy storage unit to switch to discharge mode and release the stored electrical energy to the DC bus. Subsequently, it commands the unidirectional DC / DC converter of the electrolyzer to absorb the electrical energy on the DC bus to produce hydrogen at matched power. Since electrical energy flows only through the electrochemical energy storage unit, the bidirectional DC / DC converter, the DC bus, the unidirectional DC / DC converter, and the electrolyzer via a pure DC path, low-loss cross-medium conversion of stored electrical energy to hydrogen energy is achieved.

[0054] Furthermore, since the bidirectional AC / DC converter on the grid side is taken out of operation, in order to prevent drastic fluctuations in DC bus voltage or surge current impacting the equipment, the energy management system performs a smooth transfer of the main control source of DC bus voltage: at the moment of switching, a command is simultaneously sent to the bidirectional DC / DC converter of the electrochemical energy storage unit to switch it from constant power control to constant voltage control, and the electrochemical energy storage unit seamlessly takes over the voltage support task of the DC bus; at the same time, the microcontroller of the underlying converter performs a disturbance-free initial value switching, that is, the duty cycle or voltage sampling value output by the converter at the moment before switching is directly used as the initial integral value of the new proportional-integral control loop after switching, and in conjunction with the ramp function given by the power command, the output current of the converter does not undergo a step change at the moment of switching. Furthermore, as an alternative to threshold-based decision-making logic, the energy management system can also incorporate a reinforcement learning-based decision model. The input state space is composed of time-of-use electricity price signals, DC bus voltage fluctuation rate, state of charge of the electrochemical energy storage unit, ambient temperature, and load forecast data. The action space is composed of power scheduling commands of each DC / DC converter. The reward function is to satisfy the dynamic balance of the station's power and maximize the above-mentioned efficiency evaluation function value. Through online training, the optimal control signals of the electrolyzer and the electrochemical energy storage unit are automatically output.

[0055] Preferably, the scheduling method further includes: The real-time state of charge of the electrochemical energy storage unit is continuously monitored at a preset control cycle; When the real-time state of charge is detected to drop to the preset lower limit threshold, the electrochemical energy storage unit is controlled to stop discharging, and the electrolytic cell is controlled to enter standby mode.

[0056] Specifically, during the process of the electrochemical energy storage unit discharging to drive the electrolyzer to produce hydrogen, the energy management system continuously monitors the real-time state of charge of the electrochemical energy storage unit at a preset control cycle (e.g., milliseconds or seconds). Once the real-time state of charge is detected to be continuously dropping and reaching the preset supply guarantee threshold (e.g., 30%), a state interruption command is immediately triggered, and a control signal is sent to stop the bidirectional DC / DC converter of the electrochemical energy storage unit from discharging, and instructs the electrolyzer to enter standby mode or smoothly switch back to normal supply-demand balance operation. By setting this exit mechanism, the electrochemical energy storage unit always maintains a power margin of no less than the supply guarantee threshold, avoiding overdrawing the reserve power required to support the subsequent DC charging terminal due to continuous discharge for hydrogen production, and ensuring the balance between cross-medium conversion and power supply guarantee.

[0057] In some preferred embodiments, the scheduling method further includes: When it is determined that the current period is not a valley period and the output power is greater than the real-time load, the portion of the output power that exceeds the real-time load is regarded as surplus photovoltaic power. The marginal benefit parameters of the surplus photovoltaic power are calculated in real time for each of the different consumption paths. The consumption paths include charging the electrochemical energy storage unit, driving the electrolyzer to produce hydrogen, and feeding surplus electricity to the grid. The marginal benefit parameter of charging the electrochemical energy storage unit is determined based on the peak-hour electricity purchase cost saved by storing electricity for release during peak hours. The marginal benefit parameter of driving the electrolyzer to produce hydrogen is determined based on the parameter value of the real-time hydrogen sales price converted to the unit electricity consumption. The marginal benefit parameter of feeding surplus electricity to the grid is determined based on the real-time buyback price of photovoltaic surplus electricity from the grid. The surplus photovoltaic power is allocated to each consumption path in descending order of marginal benefit parameter.

[0058] Specifically, during off-peak hours (e.g., normal or peak periods), when grid electricity prices are higher, the system does not purchase electricity from the distribution network. For the surplus photovoltaic power, the energy management system does not adopt a single fixed destination, but compares the marginal benefit parameters of the three absorption paths in real time, and prioritizes allocating the surplus photovoltaic power to the path with the highest marginal benefit parameter. If the equipment corresponding to that path reaches full load or capacity limit, the remaining power is cascaded and overflowed and allocated to the path with the second highest marginal benefit parameter. For example, if the marginal benefit parameter of charging the electrochemical energy storage unit is greater than the marginal benefit parameter of driving the electrolyzer to produce hydrogen, and the state of charge of the electrochemical energy storage unit has not reached its upper limit, then the surplus photovoltaic power is preferentially directed to the electrochemical energy storage unit for charging. After it is fully charged, the remaining power is then directed to the electrolyzer to produce hydrogen. Conversely, if the marginal benefit parameter of driving the electrolyzer to produce hydrogen is higher, then the surplus photovoltaic power is preferentially allocated to the electrolyzer for hydrogen production. If the electrolyzer reaches full load operation, the remaining power is then allocated to the electrochemical energy storage unit for charging or to the grid. This achieves dynamic optimization of surplus photovoltaic power consumption in scenarios with multiple devices operating concurrently.

[0059] Furthermore, in other embodiments, when the current electricity price is determined to be during off-peak hours, since the grid electricity cost is at its lowest point globally, the energy management system controls the bidirectional AC / DC converters on the grid side to absorb low-priced electricity from the distribution network. Grid electricity and photovoltaic power flow together into the DC bus, prioritizing the charging load of the DC charging terminal. When the electrochemical energy storage unit is not fully charged, it is instructed to charge at full power to store energy, while simultaneously instructing the electrolyzer to operate at full power to produce hydrogen, maximizing the transfer of off-peak electricity to chemical and hydrogen energy. When the current electricity price is determined to be during normal hours and the various loads within the station are within a stable forecast range, the electrolyzer maintains standby or minimum power operation for heat preservation. The electrochemical energy storage unit is responsible for maintaining the DC bus voltage stability and smoothing fluctuations. Specifically, the energy management system samples the output power P of the photovoltaic unit in real time through sensors. pv A first-order low-pass filter is introduced to extract P. pv The reference power P in base The wave component ΔP is calculated as follows: ΔP=P pv -P base ; In real time, power commands are sent to the bidirectional DC / DC converter of the electrochemical energy storage unit to enable its charging and discharging power P. ess =−ΔP, meaning that when the photovoltaic output experiences a small disturbance, the electrochemical energy storage unit quickly absorbs excess power or replenishes the missing power, thereby smoothing out the fluctuations; at the same time, a voltage dead zone V is set. ref ±ΔV, when the DC bus voltage V dcWhen within this dead zone, the electrochemical energy storage unit only participates in the above-mentioned fluctuation compensation, i.e., shallow charging and shallow discharging. Only when the fluctuation amplitude exceeds the warning value, the electrochemical energy storage unit automatically switches to constant voltage control mode for deep adjustment to ensure that the DC bus voltage is stable within the rated range. At this time, the grid-connected converter between the station and the distribution network maintains constant power operation to achieve minimum flow between the remaining load in the station and the distribution network.

[0060] Accordingly, such as Figure 3 As shown, this invention application also provides a scheduling system 300 for an energy replenishment station, applied to an integrated energy replenishment station, the integrated energy replenishment station including a photovoltaic unit, an electrolytic cell and a DC charging terminal; The scheduling system 300 includes a data acquisition module 301, a calculation module 302, a comparison module 303, and a scheduling module 304; wherein... The acquisition module 301 is used to acquire physical quantity operation data of the integrated energy supply station in real time; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer; The calculation module 302 is used to calculate the current total power demand in the station in real time based on the output power, the real-time load and the current hydrogen production load, according to the preset boundary constraint model of multiple physical quantities. The comparison module 303 is used to compare the total power demand in the station with the upper limit value in real time. The scheduling module 304 is used to generate a coordinated control command that includes load regulation and energy support when it is determined that the total power demand in the station is greater than or equal to the upper limit value, and to schedule the integrated energy supply station according to the coordinated control command.

[0061] As a preferred embodiment, the integrated energy supply station also includes an electrochemical energy storage unit; The scheduling module 304 generates coordinated control commands that include load regulation and energy support, and schedules the integrated energy supply station according to the coordinated control commands, including: The scheduling module 304 generates a load adjustment command to instruct the electrolyzer to shut down, thereby cutting off the power-consuming branch in the integrated energy supply station that converts electrical energy into hydrogen energy. An energy support command is generated to instruct the electrochemical energy storage unit to switch from a charging state or a standby state to a discharging state, so that the electrochemical energy storage unit and the power distribution network jointly support the power supply of the DC charging terminal, thereby realizing the scheduling of the integrated energy supply station.

[0062] As a preferred embodiment, the method for obtaining the real-time load of the DC charging terminal includes: The acquisition module 301 reads the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle through a real-time data link established with each DC charging terminal. The current instantaneous total charging power is calculated based on the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle. The real-time load of the DC charging terminal is determined based on the instantaneous total charging power.

[0063] As a preferred embodiment, the integrated energy supply station also includes a hydrogen storage system and a hydrogen refueling terminal; The multi-physical quantity preset boundary constraint model includes safety boundary constraints, dynamic conservation constraints of electric power, and dynamic conservation constraints of hydrogen mass. The safety boundary constraints include: the charging and discharging power of the electrochemical energy storage unit does not exceed the rated threshold and the state of charge is within a preset charging range; the operating power of the electrolytic cell is within a preset ratio range of the rated power; and the fluctuation of the DC bus voltage is within a preset safety dead zone. The power dynamic conservation constraint includes: the sum of the grid input power, the output power of the photovoltaic unit and the discharge power of the electrochemical energy storage unit is equal to the real-time load of the DC charging terminal, the current hydrogen production load of the electrolyzer and the charging power of the electrochemical energy storage unit; The dynamic conservation constraint of hydrogen mass is: the sum of the hydrogen production rate of the electrolyzer and the external hydrogen unloading rate is equal to the sum of the hydrogen consumption rate of the hydrogen refueling terminal and the rate of change of the hydrogen storage capacity of the hydrogen storage system.

[0064] As a preferred embodiment, the scheduling system 300 includes a hydrogen production module, which is used for: When it is determined that the total power demand within the station is less than the upper limit, it is determined whether the preset cross-medium conversion triggering conditions are met simultaneously; wherein, the cross-medium conversion triggering conditions include: the current peak electricity price of the power grid, and the local hydrogen energy equivalent weight value calculated based on the external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under the peak period, and the state of charge of the electrochemical energy storage unit is higher than the preset supply guarantee lower limit threshold; When the cross-medium conversion triggering condition is met, the mains power supply to the electrolyzer is cut off, the electrochemical energy storage unit is controlled to discharge, and the electrolyzer is controlled to absorb the electrical energy released by the electrochemical energy storage unit to produce hydrogen.

[0065] As a preferred embodiment, the scheduling system 300 further includes a control module, which is used for: The real-time state of charge of the electrochemical energy storage unit is continuously monitored at a preset control cycle; When the real-time state of charge is detected to drop to the preset lower limit threshold, the electrochemical energy storage unit is controlled to stop discharging, and the electrolytic cell is controlled to enter standby mode.

[0066] As a preferred embodiment, the scheduling system 300 further includes an allocation module, which is used for: When it is determined that the current period is not a valley period and the output power is greater than the real-time load, the portion of the output power that exceeds the real-time load is regarded as surplus photovoltaic power. The marginal benefit parameters of the surplus photovoltaic power are calculated in real time for each of the different consumption paths. The consumption paths include charging the electrochemical energy storage unit, driving the electrolyzer to produce hydrogen, and feeding surplus electricity to the grid. The marginal benefit parameter of charging the electrochemical energy storage unit is determined based on the peak-hour electricity purchase cost saved by storing electricity for release during peak hours. The marginal benefit parameter of driving the electrolyzer to produce hydrogen is determined based on the parameter value of the real-time hydrogen sales price converted to the unit electricity consumption. The marginal benefit parameter of feeding surplus electricity to the grid is determined based on the real-time buyback price of photovoltaic surplus electricity from the grid. The surplus photovoltaic power is allocated to each consumption path in descending order of marginal benefit parameter.

[0067] Accordingly, this application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the energy replenishment station scheduling method.

[0068] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal, connecting various parts of the terminal via various interfaces and lines.

[0069] The memory can be used to store the computer program. The processor implements various functions of the terminal by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0070] Accordingly, this application also provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the energy supply station scheduling method.

[0071] Wherein, if the modules of the device / terminal equipment / system integration are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, it can implement the steps of the various method embodiments described above. Wherein, the computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0072] Compared with the prior art, this invention application has the following beneficial effects: This invention provides a scheduling method, system, equipment, and medium for energy replenishment stations. Compared to existing technologies that treat photovoltaic units, electrolyzers, and DC charging terminals as independent and parallel control subsystems for scheduling, this invention collects real-time physical quantity operation data of the integrated energy replenishment station. Based on a multi-physical quantity preset boundary constraint model, it calculates the current total power demand within the station in real time according to the output power of the photovoltaic units, the real-time load of the DC charging terminals, and the current hydrogen production load of the electrolyzers. This calculation is used to generate targeted coordinated control commands for scheduling. By obtaining these coordinated control commands, the invention achieves comprehensive consideration and coordination of photovoltaic, charging, and hydrogen production, avoiding the lack of coordination among subsystems during scheduling. Energy conflicts or waste caused by information interaction improve the reliability of dispatching. In addition, this invention compares the calculated total power demand within the station with the upper limit of the real-time carrying capacity of the distribution network in real time. When the total power demand is determined to be greater than or equal to the upper limit, a coordinated control command is generated and dispatching is carried out, changing the status quo of passively bearing load shocks. By setting the upper limit of the distribution network carrying capacity as a rigid boundary, and triggering the generation of a coordinated control command including load regulation and energy support at the critical point of demand exceeding the limit (greater than or equal to the upper limit), such dispatching enables the integrated energy supply station to intervene in a timely manner, eliminate the safety hazards of overload tripping, and enhance the shock resistance and operational stability of the supply station microgrid system.

[0073] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A scheduling method for an energy supply station, characterized in that, It is applied to an integrated energy supply station, which includes a photovoltaic unit, an electrolytic cell, and a DC charging terminal; The scheduling method includes: The physical quantity operation data of the integrated energy supply station are collected in real time; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer; Based on the preset boundary constraint model of multiple physical quantities, the current total power demand in the station is calculated in real time according to the output power, the real-time load and the current hydrogen production load. The total power demand within the station is compared with the upper limit value in real time; When the total power demand within the station is determined to be greater than or equal to the upper limit, a coordinated control command including load regulation and energy support is generated, and the integrated energy supply station is scheduled according to the coordinated control command.

2. The scheduling method for an energy supply station as described in claim 1, characterized in that, The integrated energy supply station also includes an electrochemical energy storage unit; The generation of coordinated control commands that include load regulation and energy support, and the scheduling of the integrated energy supply station according to the coordinated control commands, includes: Generate a load regulation command to instruct the electrolyzer to shut down, thereby cutting off the power-consuming branch in the integrated energy supply station that converts electrical energy into hydrogen energy; An energy support command is generated to instruct the electrochemical energy storage unit to switch from a charging state or a standby state to a discharging state, so that the electrochemical energy storage unit and the power distribution network jointly support the power supply of the DC charging terminal, thereby realizing the scheduling of the integrated energy supply station.

3. The scheduling method for an energy supply station as described in claim 2, characterized in that, The method for obtaining the real-time load of the DC charging terminal includes: By establishing a real-time data link with each of the DC charging terminals, the current and voltage of each DC charging terminal, as well as the battery state of charge reported by the battery management system of the connected vehicle, are read. The current instantaneous total charging power is calculated based on the current and voltage of each DC charging terminal and the battery state of charge reported by the battery management system of the connected vehicle. The real-time load of the DC charging terminal is determined based on the instantaneous total charging power.

4. The scheduling method for an energy supply station as described in claim 2, characterized in that, The integrated energy supply station also includes a hydrogen storage system and a hydrogen refueling terminal; The multi-physical quantity preset boundary constraint model includes safety boundary constraints, dynamic conservation constraints of electric power, and dynamic conservation constraints of hydrogen mass. The safety boundary constraints include: the charging and discharging power of the electrochemical energy storage unit does not exceed the rated threshold and the state of charge is within a preset charging range; the operating power of the electrolytic cell is within a preset ratio range of the rated power; and the fluctuation of the DC bus voltage is within a preset safety dead zone. The dynamic conservation constraint of electrical power includes: the sum of the grid input power, the output power of the photovoltaic unit and the discharge power of the electrochemical energy storage unit is equal to the real-time load of the DC charging terminal, the current hydrogen production load of the electrolyzer and the charging power of the electrochemical energy storage unit; The dynamic conservation constraint of hydrogen mass is: the sum of the hydrogen production rate of the electrolyzer and the external hydrogen unloading rate is equal to the sum of the hydrogen consumption rate of the hydrogen refueling terminal and the rate of change of the hydrogen storage capacity of the hydrogen storage system.

5. A scheduling method for an energy supply station as described in any one of claims 2 to 4, characterized in that, The scheduling method further includes: When it is determined that the total power demand within the station is less than the upper limit, it is determined whether the preset cross-medium conversion triggering conditions are met simultaneously; wherein, the cross-medium conversion triggering conditions include: the current peak electricity price of the power grid, and the local hydrogen energy equivalent weight value calculated based on the external hydrogen supply guidance price and the unit hydrogen production power consumption is greater than the preset electricity cost weight value under the peak period, and the state of charge of the electrochemical energy storage unit is higher than the preset supply guarantee lower limit threshold; When the cross-medium conversion triggering condition is met, the mains power supply to the electrolyzer is cut off, the electrochemical energy storage unit is controlled to discharge, and the electrolyzer is controlled to absorb the electrical energy released by the electrochemical energy storage unit to produce hydrogen.

6. The scheduling method for an energy supply station as described in claim 5, characterized in that, The scheduling method further includes: The real-time state of charge of the electrochemical energy storage unit is continuously monitored at a preset control cycle; When the real-time state of charge is detected to drop to the preset lower limit threshold, the electrochemical energy storage unit is controlled to stop discharging, and the electrolytic cell is controlled to enter standby mode.

7. The scheduling method for an energy supply station as described in claim 2, characterized in that, The scheduling method further includes: When it is determined that the current period is not a valley period and the output power is greater than the real-time load, the portion of the output power that exceeds the real-time load is regarded as surplus photovoltaic power. The marginal benefit parameters of the surplus photovoltaic power are calculated in real time for each of the different consumption paths. The consumption paths include charging the electrochemical energy storage unit, driving the electrolyzer to produce hydrogen, and feeding surplus electricity to the grid. The marginal benefit parameter of charging the electrochemical energy storage unit is determined based on the peak-hour electricity purchase cost saved by storing electricity for release during peak hours. The marginal benefit parameter of driving the electrolyzer to produce hydrogen is determined based on the parameter value of the real-time hydrogen sales price converted to the unit electricity consumption. The marginal benefit parameter of feeding surplus electricity to the grid is determined based on the real-time buyback price of photovoltaic surplus electricity from the grid. The surplus photovoltaic power is allocated to each consumption path in descending order of marginal benefit parameter.

8. A dispatching system for an energy supply station, characterized in that, It is applied to an integrated energy supply station, which includes a photovoltaic unit, an electrolytic cell, and a DC charging terminal; The scheduling system includes a data acquisition module, a calculation module, a comparison module, and a scheduling module; wherein, The acquisition module is used to acquire physical quantity operation data of the integrated energy supply station in real time; wherein, the physical quantity operation data includes at least the upper limit of the real-time carrying capacity of the distribution network, the output power of the photovoltaic unit, the real-time load of the DC charging terminal, and the current hydrogen production load of the electrolyzer; The calculation module is used to calculate the current total power demand in the station in real time based on the output power, the real-time load and the current hydrogen production load, according to the preset boundary constraint model of multiple physical quantities. The comparison module is used to compare the total power demand within the station with the upper limit value in real time. The scheduling module is used to generate a coordinated control command that includes load regulation and energy support when it is determined that the total power demand in the station is greater than or equal to the upper limit value, and to schedule the integrated energy supply station according to the coordinated control command.

9. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the scheduling method for an energy supply station as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the energy replenishment station scheduling method as described in any one of claims 1 to 7.

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