Regulation and control method, device and equipment for hydrogen production by abandoning electricity, storage medium and product

Abstract

The invention discloses an electricity abandoning hydrogen production regulation and control method, device and equipment, a storage medium and a product, and relates to the technical field of data processing, and the method comprises the steps: obtaining an electricity abandoning electric quantity curve and an electricity abandoning price of each wind and light operator; determining constraint conditions according to operation requirements and power balance of hydrogen production equipment; constructing a hydrogen production cost objective function, wherein the hydrogen production cost objective function comprises abandoned electricity quantity and abandoned electricity price; determining an electricity abandoning transaction scheme according to the electricity abandoning electric quantity curve, the electricity abandoning price, the constraint condition and the hydrogen production cost target function of each wind and light operator; and adjusting hydrogen control equipment based on the electricity abandoning transaction scheme. According to the method, the electricity abandoning transaction scheme is determined through the electricity abandoning electric quantity curve, the electricity abandoning price, the constraint condition and the hydrogen production cost target function of each wind and light operator to carry out electricity abandoning hydrogen production, so that compared with existing hydrogen production modes such as green hydrogen and grey hydrogen, the economy, the flexibility and the green attribute of hydrogen production can be improved; and the method can better adapt to the operation law of the electricity market and the fluctuation characteristics of new energy.

Description

Technical Field

[0001] This application relates to the field of hydrogen production from surplus electricity, and in particular to methods, apparatus, equipment, storage media and products for controlling hydrogen production from surplus electricity. Background Technology

[0002] Currently, the installed capacity of new energy sources has exceeded 1.45 billion kilowatts, with a penetration rate of over 43%. However, due to the volatility of power generation and the limitations of grid regulation capabilities, the amount of wind and solar power curtailment is still as high as 35 billion kilowatt-hours. When the penetration rate of new energy sources exceeds the critical value of 30%-40%, the curtailment rate will increase exponentially, and simply pursuing 100% absorption will lead to a sharp increase in marginal costs.

[0003] Currently, a market for curtailed electricity has not yet been established in China. However, with the continuous increase in the penetration rate of new energy sources, the formation of such a market will play a crucial role in ensuring the revenue of new energy power generation companies, improving the utilization rate of new energy, and reducing the electricity purchase costs for green electricity users, thus promoting the development of a green economy. Currently, the cost of producing green hydrogen through integrated wind-solar-hydrogen production projects is approximately 20-40 yuan / kg, far exceeding the cost of producing gray hydrogen (10-14 yuan / kg). The current average market price for industrial hydrogen is approximately 15.5 yuan / kg. Therefore, reducing the cost of green hydrogen production has become an urgent technical problem to be solved. Summary of the Invention

[0004] The main purpose of this application is to provide a method, apparatus, equipment, storage medium and product for regulating hydrogen production from surplus electricity, aiming to solve the technical problem of high cost of existing green hydrogen production.

[0005] To achieve the above objectives, this application proposes a method for controlling the surplus power generation for hydrogen production, which includes: Obtain the curtailment electricity curves and curtailment prices of each wind and solar power operator; The constraints are determined based on the operating requirements and power balance of the hydrogen production equipment. Construct a hydrogen production cost objective function, which includes the amount of electricity curtailed and the price of curtailed electricity. Based on the curtailment electricity curves, curtailment prices, the aforementioned constraints, and the aforementioned hydrogen production cost objective function of each wind and solar operator, a curtailment trading scheme is determined. Based on the above-mentioned power curtailment trading scheme, control the hydrogen equipment.

[0006] Optionally, the above-mentioned curtailment electricity trading scheme is determined based on the curtailment electricity curves of each wind and solar operator, the curtailment price, the above-mentioned constraints, and the above-mentioned hydrogen production cost objective function, including: Based on the day-ahead curtailment electricity curves, day-ahead curtailment prices, the aforementioned constraints, and the aforementioned hydrogen production cost objective function of each wind and solar operator, a day-ahead curtailment trading scheme is determined. Based on the above-mentioned daytime curtailment trading scheme and the intraday incremental power of the above-mentioned wind and solar operators, the intraday curtailment trading scheme is determined. Based on the above intraday curtailment trading scheme and real-time market stage constraints, a real-time market curtailment trading scheme is determined.

[0007] Optionally, the intraday curtailment trading scheme is determined based on the aforementioned day-ahead curtailment trading scheme and the intraday incremental power of the aforementioned wind and solar operators, including: The incremental power of the aforementioned wind and solar operators is determined based on the power absorption curve and the intraday phased power forecast information of the wind and solar operators. Based on the aforementioned curtailment trading scheme, the incremental curtailment power and curtailment bids of the aforementioned wind and solar operators were determined. The time-of-use electricity purchase cost constraint is determined based on the aforementioned incremental power of abandoned electricity and the aforementioned incremental power of abandoned electricity pricing. Based on the above-mentioned time-of-use electricity purchase cost constraints and the above-mentioned incremental power, intraday clearing constraints are determined. The intraday power curtailment trading scheme is determined based on the above intraday clearing constraints and the above hydrogen production cost objective function.

[0008] Optionally, the steps for determining the real-time market curtailment trading scheme based on the aforementioned intraday curtailment trading scheme and real-time market stage constraints include: Based on the above intraday curtailment trading scheme and real-time market stage constraints, real-time market stage scheduling is carried out to obtain the real-time market curtailment trading scheme. The above real-time market stage constraints include target power balance constraints and target time-of-use electricity purchase cost constraints. Determine the deviation in electricity volume for the aforementioned wind and solar operators and hydrogen producers; Penalty information is determined based on the aforementioned deviation in electricity consumption; Based on the aforementioned penalty information, a real-time market hydrogen production cost objective function is determined, and based on this objective function, a real-time market power curtailment trading scheme is determined.

[0009] Optionally, the steps described above for obtaining the curtailment power curves and curtailment prices of each wind and solar operator include: Obtain forecasted power information from various wind and solar power operators; The electricity price curve is determined based on the above-mentioned predicted electricity information; The winning bid curve for wind and solar operators is determined based on the above power price quotation curve. Based on the above-mentioned wind and solar operators' winning bid curves, the power consumption curve and sales price are determined; Based on the aforementioned power absorption curve and the aforementioned predicted power information, the curtailment power curve and curtailment price are determined.

[0010] Optionally, the above-mentioned curtailment trading scheme includes the optimal curtailment power curve, curtailment trading price, and operating parameters of hydrogen production control equipment; Based on the above-mentioned optimal curtailment power curve and the above-mentioned curtailment power trading price, curtailment power trading is carried out; The steps for regulating hydrogen equipment based on the aforementioned power curtailment trading scheme include: The operating parameters of the aforementioned hydrogen production control equipment are sent to the corresponding hydrogen production control equipment for the control of hydrogen production from wasted electricity.

[0011] Furthermore, to achieve the above objectives, this application also proposes a power-waste hydrogen production control device, which includes: The acquisition module retrieves the curtailment electricity curves and curtailment prices of each wind and solar power operator. The constraint determination module is used to determine constraint conditions based on the operating requirements and power balance of the hydrogen production equipment. The function construction module is used to construct the hydrogen production cost objective function, which includes the amount of electricity abandoned and the price of abandoned electricity. The curtailment trading scheme determination module is used to determine the curtailment trading scheme based on the curtailment power curves, curtailment prices, the constraints, and the hydrogen production cost objective function of each wind and solar operator. The abandoned electricity hydrogen production module is used to control hydrogen equipment based on the aforementioned abandoned electricity trading scheme.

[0012] In addition, to achieve the above objectives, this application also proposes a device for controlling the surplus electricity production of hydrogen, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the surplus electricity production of hydrogen control method described above.

[0013] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the above-described method for controlling the use of surplus electricity to produce hydrogen.

[0014] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the above-described method for controlling the use of surplus electricity to produce hydrogen.

[0015] This application obtains the curtailment electricity curves and curtailment prices of various wind and solar operators; determines constraints based on the operating requirements and power balance of hydrogen production equipment; constructs a hydrogen production cost objective function, which includes the curtailment electricity volume and curtailment price; determines a curtailment trading scheme based on the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of various wind and solar operators; and regulates and controls hydrogen production equipment based on the curtailment trading scheme. Because this application determines the curtailment trading scheme for hydrogen production from curtailed electricity using the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of various wind and solar operators, compared to existing green hydrogen and gray hydrogen production methods, this application not only improves the economic efficiency, flexibility, and green attributes of hydrogen production, but also better adapts to the operating rules of the electricity market and the fluctuating characteristics of new energy sources. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart of the first embodiment of the method for controlling the surplus electricity used in hydrogen production in this application; Figure 2 This is a schematic diagram of the system architecture provided in Embodiment 1 of the method for regulating hydrogen production from surplus electricity in this application; Figure 3 This is a schematic diagram of the state transition process of the electrolyzer provided in Embodiment 1 of the method for controlling the abandoned electricity hydrogen production of this application; Figure 4 This is a schematic flowchart of Embodiment 2 of the method for regulating hydrogen production from surplus electricity provided in this application; Figure 5 This is a schematic diagram of the module structure of the hydrogen production control device for power waste in an embodiment of this application; Figure 6 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the hydrogen production control method for power waste in the embodiments of this application.

[0019] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0021] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0022] Based on this, the embodiments of this application provide a method for regulating hydrogen production from surplus electricity, referring to... Figure 1 , Figure 1 This is a schematic flowchart of the first embodiment of the method for controlling the abandoned electricity hydrogen production in this application.

[0023] In this embodiment, the method for regulating hydrogen production from surplus electricity includes the following steps: Step S10: Obtain the curtailment power curve and curtailment price of each wind and solar operator; The executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device or a power curtailment hydrogen production control device capable of performing the above functions. The following description uses a power curtailment hydrogen production control device as an example to illustrate this embodiment and the subsequent embodiments.

[0024] The system architecture involved in this embodiment can be referred to... Figure 2 , Figure 2 This is a schematic diagram of the system architecture provided for Embodiment 1 of the method for regulating hydrogen production from curtailed electricity in this application. This embodiment is applicable to multiple wind and solar power operators connected to the same system node, where wind and solar curtailment already exists before the hydrogen production system is established. The green hydrogen manufacturer invests in and constructs the hydrogen production system, and collaborates with the wind and solar power plant operators within the node (i.e., wind and solar operators) to build a virtual power plant within the node based on the rules of the electricity spot market. The green hydrogen manufacturer purchases the curtailed electricity from the wind and solar power plant operators to produce hydrogen, reducing the cost of green hydrogen production and increasing the revenue of the wind and solar power plant operators. The hydrogen production system includes energy storage, multiple types of electrolyzers, hydrogen storage devices, a coordination controller, and an energy management system.

[0025] The curtailment electricity curve represents the amount of curtailed electricity that each wind and solar power operator can offer to hydrogen production manufacturers for hydrogen production. The horizontal axis represents time, and the vertical axis represents the curtailed electricity volume at each time point. The curtailment price represents the price offered by each wind and solar power operator to hydrogen production manufacturers for hydrogen production.

[0026] Further steps to obtain the curtailment electricity curves and curtailment prices for each wind and solar operator include: Obtain forecasted power information from various wind and solar power operators; Determine the electricity price curve based on predicted electricity information; Determine the winning bid curve for wind and solar operators based on the electricity price quotation curve; The power consumption curve and sales price are determined based on the winning bid curve of wind and solar operators; The curtailment curve and curtailment price are determined based on the power absorption curve and forecasted power information.

[0027] It should be noted that if wind and solar power plant operators (i.e., wind and solar operators) participate in the internal electricity market, they should submit the internal electricity market D-day forecast curve of 96 points on D-1 (the latest reporting time can be set, such as before 9:00 AM). ,price This refers to predicting electricity information. Determining the electricity price curve based on predicted electricity information can be done as follows: For each time point t, first, the wind and solar operators are priced according to their respective bids. Sort the data from lowest to highest to obtain the sorted sequence:

[0028] The corresponding power generation is .

[0029] The sorted power generation is summed to obtain the total power generation corresponding to different bidding points:

[0030] The price curve of the virtual power plant at time t changes from point This forms an increasing, stepped curve, which is the electricity price quote curve.

[0031] The price curve submitted by the virtual power plant to the spot market is as follows:

[0032] The electricity spot market determines the clearing price for each time period based on system demand. The winning bid volume of the virtual power plant is to meet the requirements. The largest Obtain the actual virtual power plant bidding curve The bidding results will be sent to wind and solar operators. Hydrogen producers will then obtain the electricity consumption curves for each wind and solar operator based on the recent market bidding results. and selling price The power absorption curve can be the output curve of wind and solar operators in the day-ahead market, considering grid operation constraints (such as load level, transmission capacity, peak-shaving capacity, etc.) and system balance requirements, representing the actual power output that can be accepted by the grid, not abandoned, and available for trading or consumption. The selling price can be the uniform selling price of wind and solar operators' power during the day-ahead period. If wind and solar operators participate in the internal power market, they should report the abandoned power curve at 96:00 on day D-1 (a latest reporting time can be set, such as before 12:00). Price of abandoned electricity .

[0033] Step S20: Determine the constraints based on the operating requirements and power balance of the hydrogen production equipment; It should be noted that determining the constraints based on the operating requirements and power balance of the hydrogen production equipment can be done by determining at least one of the following constraints of the virtual power plant: power balance constraints, hydrogen production constraints, electrochemical energy storage constraints, and hydrogen storage constraints, based on the established virtual power plant mathematical model. The established virtual power plant mathematical model includes a hydrogen production mathematical model. Specifically, the states of the electrolyzer can be categorized as shutdown, stoppage, cold start, hot standby, hot start, reduced load standby, and hydrogen production states. Shutdown: At this point, all electrical equipment in the electrolytic cell is powered off, the internal electrochemical reaction completely stops, no current flows, and no electrical energy is consumed. The electrolytic cell is in a static state, the temperature gradually balances with the ambient temperature, and the internal electrolyte and other substances are in a stable state, without any physicochemical changes related to electrolysis.

[0034] Shutdown: This is a transitional phase where the electrolytic cell gradually stops operating. During this process, it is necessary to gradually reduce the current, stop electrolyte circulation, and close relevant valves according to specific operating procedures, so that all operating parameters of the electrolytic cell gradually decrease to zero, ultimately reaching the shutdown state. Attention must be paid to the standardization and safety of operations during shutdown to avoid damage to the equipment or causing safety accidents.

[0035] Cold start: When an electrolytic cell has been shut down for an extended period, its internal temperature has reached the ambient temperature, and all components are in a cold state. The startup operation performed under these conditions is called a cold start. During a cold start, the electrolytic cell must first be inspected to ensure it is in good working order. Then, the power is turned on sequentially, the electrolyte circulation system is started, and various parameters are adjusted to gradually bring the electrolytic cell to normal operating conditions. The cold start process is relatively complex and requires a considerable amount of time to preheat the equipment and establish stable operating conditions.

[0036] Hot standby: When the electrolytic cell is in hot standby mode, all pre-startup preparations have been completed. The power is on, the electrolyte is circulating, and all parameters have been adjusted to near normal operating values. However, the electrolytic cell has not yet started actual electrolytic production. At this time, the electrolytic cell is ready to be put into operation at any time. Once production demand arises, only minor parameter adjustments are needed to quickly bring it back to normal operation. Hot standby mode reduces equipment start-up time and improves production flexibility, but it consumes a certain amount of electrical energy and other resources needed to maintain system operation.

[0037] Hot start: A hot start is a startup operation performed when the electrolytic cell is in a hot standby state or has just been shut down, before significant changes have occurred in its internal temperature and other conditions. Compared to a cold start, a hot start eliminates the need for prolonged preheating and complex parameter adjustments, allowing the electrolytic cell to quickly return to normal operation. Hot starts save startup time and energy consumption, and cause relatively less wear and tear on the equipment.

[0038] Reduced load standby: Gradually reduce the current load of the electrolyzer from the hydrogen production state, while adjusting relevant parameters, such as maintaining electrolyte circulation and temperature, so that the electrolyzer can switch from normal hydrogen production operation to a hot standby state that can quickly resume production at any time.

[0039] Hydrogen production: When the electrolyzer is in hydrogen production mode, all parameters such as current, voltage, temperature, and electrolyte concentration are stable within the set range, the electrochemical reaction proceeds stably, and it can continuously and efficiently produce products such as hydrogen and oxygen.

[0040] The correspondence between the various state transition processes can be referred to Figure 3 , Figure 3 This is a schematic diagram of the state transition process of the electrolyzer provided in Embodiment 1 of the method for controlling the surplus electricity used in hydrogen production according to this application; the temperature and pressure state models of the ALK electrolyzer and the PEM electrolyzer are set as follows:

[0041]

[0042] In the formula, and For the first i Group ALK electrolytic cell and the first j PEM electrolytic cells t Temperature and pressure conditions over a period of time Taking the ALK electrolytic cell as an example, This indicates that the device is powered off. This indicates that during cold start and shutdown, the equipment pressure and temperature do not meet the requirements for hydrogen production. This indicates the status of hot standby, hot start, load reduction standby, and hydrogen production, and that the equipment pressure and temperature meet the hydrogen production requirements. and They represent the first i Group ALK electrolytic cell and the first j Rate of temperature and pressure change per unit time in a group of PEM electrolyzers.

[0043] The mathematical model of a virtual power plant includes an electrochemical energy storage mathematical model. Specifically, the energy generation and absorption of the energy storage battery are described by the following equations:

[0044] in, E bat ( t - ) is the first t - The remaining battery power at any given time; and These are the energy storage charging and discharging efficiency; P bat,cha (t )and P bat,dis ( t () are time t The battery charge / discharge power. The state of charge (SOC) at each time step can be defined as follows:

[0045] In the formula, E bat,max It is the maximum battery storage capacity.

[0046] The virtual power plant mathematical model includes a hydrogen storage mathematical model, specifically: the number of moles of hydrogen stored in the hydrogen storage tank at time t. :

[0047] In the formula The hydrogen consumption rate is determined by the ammonia production rate. For the hydrogen production rate of hydrogen production equipment, Hydrogen storage tank t - The number of moles of hydrogen gas stored at any given time.

[0048] Determining the hydrogen production constraints of a virtual power plant based on its mathematical model can be achieved by setting binary variables. These represent six states: hydrogen production, hot start / load reduction standby, hot standby, cold start, shutdown, and shutdown. The hydrogen production state constraints of the ALK electrolyzer can be:

[0049] Converting the above constraints into ordinary constraints can be represented as follows:

[0050] in, for t Time of the first i Power consumption of the alkaline electrolytic cell; for t Time of the first i Hydrogen production volume per unit power of an alkaline electrolyzer, in Nm³ 3 / kWh, and related. and The first i Lower and upper limits of hydrogen production power of ALK electrolyzers; Indicates the first i Power consumption for thermal standby of the ALK electrolytic cell; Indicates the first i Maximum power consumption during cold start of the ALK electrolytic cell group; Indicates the firsti The rate of decrease in temperature and pressure drop per unit time during shutdown of the ALK electrolytic cell group; ε is a very small number. Used to characterize the maximum rate of temperature and pressure rise per unit time during the cold start-up of an electrolytic cell. Used to characterize the power-hydrogen production curve.

[0051] The temperature and pressure state model of the ALK electrolyzer is transformed into the following representation:

[0052] The following state mutual exclusion constraints should also be satisfied:

[0053] Uninterrupted shutdown and cold start processes are subject to the following constraints:

[0054] Linearizing the above constraints using the Big-M method yields:

[0055] In the formula, M It is a sufficiently large positive number; It is a binary variable. hour, =1, hour, =0.

[0056] The hydrogen production capacity ramp-up constraint is:

[0057] In the formula, Indicates the first i Maximum power reduction per unit time in ALK electrolytic cells; This represents the maximum power increase per unit time of the i-th ALK electrolyzer.

[0058] The same applies to the constraints of the PEM electrolytic cell:

[0059]

[0060] In engineering, the electrical energy consumed to produce 1 standard cubic meter of hydrogen is commonly used as a standard to measure the energy consumption of hydrogen production. 1 standard cubic meter of hydrogen is approximately 44.64 moles (the exact value is 1000 / 22.4≈44.6429 mol). Therefore, the hydrogen production rate model can be derived as follows:

[0061] The formula definitions for PEM are the same as those for ALK, and you can refer to the formula definitions for ALK.

[0062] for t Time of the first j Power consumption of the alkaline electrolytic cell; for t Time of the first j Hydrogen production volume per unit power of electrolyzer, unit Nm³ 3 / kWh, and related. and The first j Lower and upper limits of hydrogen production capacity of PEM electrolyzers; Indicates the first j Power consumption for thermal standby of PEM electrolytic cells; Indicates the first j Maximum power consumption during cold start of a PEM electrolytic cell; Indicates the first j The rate of temperature and pressure drop per unit time during the shutdown of the PEM electrolytic cell group; ε is a very small number. It is used to characterize the maximum rate of temperature and pressure rise per unit time during the cold start-up of an electrolytic cell.

[0063] The electrochemical energy storage constraints of a virtual power plant, determined based on its mathematical model, can be: In any t At any given time, the state of charge and discharge of the battery pack is subject to the following constraints:

[0064] In the formula, SOC min This is the lower limit of the energy storage SOC. SOC max This represents the upper limit of the energy storage SOC.

[0065] Energy storage should also meet charging and discharging power constraints:

[0066] In the formula, U cha ( t )and U dis ( t () represents the charging and discharging status bits of the energy storage power station; P max This represents the maximum charging and discharging power of the energy storage power station. B’ calen Indicates the remaining calendar life of the energy storage. B’ cycle This represents the remaining cycle life of the energy storage. sgn() is a mathematical function used to determine the sign.

[0067] Based on the mathematical model of the virtual power plant, the hydrogen storage constraints of the virtual power plant can be determined as follows: The number of hydrogen moles stored should meet the following constraints:

[0068] in, and These represent the minimum and maximum number of moles of hydrogen that the hydrogen storage tank can store, respectively.

[0069] The pressure model for the hydrogen storage tank is as follows:

[0070] In the formula, V This refers to the volume of the hydrogen storage tank. Hydrogen storage tank t Pressure over time Let t represent the amount of hydrogen in the hydrogen storage tank during time period t. R For universal gas constants, Let t be the absolute temperature of the hydrogen storage tank during time period t (in Kelvin, letter K). , V , , The units are Pascal (Pa) and cubic meter (m³), respectively. 3 When the concentration is 1,000 mol / K, the value of R is 8.31 J / (mol*K). Therefore, we can conclude that:

[0071] In the formula, and These are the upper and lower pressure limits of the hydrogen storage tank, respectively. The maximum permissible temperature for the safety of the hydrogen storage tank.

[0072] In addition, power balance constraints can be:

[0073] In the formula, This indicates that the hydrogen production system can absorb the first hydrogen during time period t. n The amount of electricity abandoned by wind and solar power manufacturers. Output balance constraints also include other constraints: No. n Wind and solar power plant operators clearing out abandoned power It should not exceed its reported power. :

[0074] Step S30: Construct the hydrogen production cost objective function, which includes the amount of electricity abandoned and the price of abandoned electricity; It should be noted that the objective function for hydrogen production cost can be:

[0075]

[0076]

[0077]

[0078]

[0079]

[0080] In the formula, The power absorption curves used to characterize the power consumption of various wind and solar operators. Used to represent the selling price. C buy This indicates the predicted time-of-use electricity cost for day D; C bat This indicates the depreciation cost of the energy storage system; C OM This indicates the operation and maintenance costs of the hydrogen production system; This indicates the depreciation cost of the hydrogen production system; There are several fees that need to be paid to the power grid company, such as transmission and distribution prices (grid access fees), government funds and surcharges, system operation costs, etc. For the first i Initial investment cost for assembling an electrolytic cell; The number of operating hours within the optimized cycle of the i-th group of electrolytic cells; For the first j Initial investment cost for assembling an electrolytic cell; For the first j Operating hours within the optimized cycle of the electrolytic cell group; express t Forecast real-time external electricity purchase price for the specified time period; express t Electricity purchase price within the specified time period; This indicates the real-time market price of electricity predicted by the hydrogen production system; F bat This indicates the initial investment cost for energy storage; r Represents net present value; B calen Indicates the energy storage calendar lifespan, in years. B’ calen Indicates the remaining calendar life of the energy storage. T Indicates the period of adjustment and optimization; B cycle Indicates energy storage cycle life, measured in cycles. B’ cycleIndicates the remaining cycle life of the energy storage. b cycle This indicates the number of energy storage cycles within the regulation and optimization period; Indicates the first i Calendar life of ALK electrolytic cells; Indicates the first j Calendar life of PEM electrolyzers; Hydrogen production is controlled and optimized within the cycle, with units of kg. The cost of producing one unit mass of hydrogen, excluding electricity consumption. for t The time-based hydrogen production system is powered by electricity purchased from the power grid. for t The use of electricity exceeding the curtailment trading contract within the virtual power plant by the time-of-use hydrogen production system needs to be verified for accuracy. Used to cover the initial investment cost of the electrolytic cell Used to characterize the price of abandoned electricity by the nth wind and solar operator.

[0081] Step S40: Determine the power curtailment trading scheme based on the curtailment power curves, curtailment prices, constraints, and hydrogen production cost objective function of each wind and solar operator. It should be noted that, based on the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective functions of various wind and solar operators, the curtailment electricity trading scheme can be determined using solvers such as Cplex or Gurobi. The curtailment electricity curves and prices are then substituted into the hydrogen production cost objective function to obtain the day-ahead curtailment electricity trading curve. and the day-ahead power curtailment transaction price This refers to the curtailment trading scheme, and based on the curtailment trading scheme, the day-ahead internal electricity market clearing is carried out, and a day-ahead curtailment trading contract is signed.

[0082] Furthermore, the electricity spot market is divided into day-ahead, intraday, and real-time markets. To accurately match electricity market transactions, this embodiment proposes to conduct curtailment trading based on the three-tiered market (day-ahead, intraday, and real-time). Combined with market clearing rules, it optimizes the generation of curtailment curves and prices, filling the technological gap in the pre-emptive quantitative management of curtailment resources. Specifically, step S40 may include: determining a day-ahead curtailment trading scheme based on the day-ahead curtailment volume curves, day-ahead curtailment prices, constraints, and the hydrogen production cost objective function of each wind and solar operator; Based on the current day's curtailment trading plan and the incremental power output of wind and solar operators within the day, the intraday curtailment trading plan will be determined. Based on the intraday curtailment trading scheme and the real-time market stage constraints, the real-time market curtailment trading scheme is determined.

[0083] It should be noted that the day-ahead curtailment power curve and day-ahead curtailment price are the same as those in step S10. The day-ahead curtailment trading scheme is the same as the curtailment trading scheme in step S40. Based on the day-ahead curtailment trading scheme and the intraday incremental power of wind and solar operators, the intraday curtailment trading scheme can be determined by deciding whether to penalize wind and solar power producers (i.e., wind and solar operators) based on the incremental power of wind and solar operators. If the incremental power of wind and solar operators is greater than or equal to 0, no penalty can be imposed on them; if the incremental power of wind and solar operators is less than 0, a penalty can be imposed. In this case, the predicted time-of-use electricity purchase cost on day D is adjusted in the hydrogen production cost objective function. C buy The objective function for hydrogen production cost is adjusted, and then the adjusted objective function for hydrogen production cost is solved to obtain the intraday power curtailment trading scheme.

[0084] It should be noted that during the real-time market phase, consideration should be given to making reasonable use of grid power interaction to reduce the start-up and shutdown of electrolyzers; therefore, the power balance constraints need to be modified.

[0085]

[0086] In the formula, for t The time-based hydrogen production system is powered by electricity purchased from the power grid. for t The time-based hydrogen production system uses electricity generated within the virtual power plant that exceeds the amount contracted for curtailment.

[0087] The hydrogen production system uses electricity generated within the virtual power plant that exceeds the amount contracted for curtailment. It should not exceed the amount of electricity that the wind power operator reports as being able to absorb:

[0088] The proportion of green electricity used in hydrogen production should meet market and policy requirements.

[0089] In the formula, This indicates the lower limit of the proportion of green electricity.

[0090] In the objective function of hydrogen production cost The model is modified as follows:

[0091] in, Updated based on intraday trading activity. To enable the electricity spot market to determine the clearing price for each time period based on system demand, for t Time-based hydrogen production manufacturers select the first nIncreased abandonment of electricity by home-based wind and solar operators The price is for the incremental amount of abandoned electricity.

[0092] The above optimization method is used to obtain the optimal combination of real-time curtailment trading curves after real-time market stage updates. and the price of abandoned electricity This involves a real-time market power curtailment trading scheme, which is used to clear the internal electricity market. Then, it's used to regulate hydrogen production from real-time market power curtailment.

[0093] Real-time market-based curtailment hydrogen production regulation can be achieved by solving the updated hydrogen production cost objective function. , and This generates AGC commands which are then sent to the corresponding hydrogen production equipment for hydrogen production regulation by controlling the waste of electricity.

[0094] Step S50: Regulate and control the hydrogen equipment based on the power curtailment trading scheme.

[0095] It should be noted that the hydrogen production control equipment based on the power curtailment trading scheme can be adjusted according to the operating parameters of the hydrogen production control equipment in the power curtailment trading scheme to produce hydrogen from the curtailed power.

[0096] This embodiment obtains the curtailment electricity curves and curtailment prices of each wind and solar power operator; determines constraints based on the operating requirements and power balance of hydrogen production equipment; constructs a hydrogen production cost objective function, which includes the curtailment electricity volume and curtailment price; determines a curtailment trading scheme based on the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of each wind and solar power operator; and regulates and controls the hydrogen production equipment based on the curtailment trading scheme. Because this embodiment determines the curtailment trading scheme for hydrogen production from curtailed electricity using the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of each wind and solar power operator, compared to existing green hydrogen and gray hydrogen production methods, this embodiment not only improves the economic efficiency, flexibility, and green attributes of hydrogen production, but also better adapts to the operating rules of the electricity market and the fluctuating characteristics of new energy sources.

[0097] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 4 , Figure 4 The flowchart provided for Embodiment 2 of the method for controlling hydrogen production from surplus electricity in this application includes step S40, which further includes the following steps: Step S401: Determine the incremental power of wind and solar operators based on the power absorption curve and the intraday phased power forecast information of wind and solar operators; It should be noted that wind and solar operators predict ultra-short-term power generation curves based on day-ahead cleared electricity, i.e., the electricity absorption curve. Intraday price forecast Report Hourly participation in market trading incremental power Incremental pricing The data resolution is 15 minutes, and t0 represents the current time.

[0098] Step S402: Determine the incremental power and incremental bid for curtailment by wind and solar operators based on the day-ahead curtailment trading scheme; It should be noted that, based on the day-ahead curtailment trading scheme, the incremental curtailment power and bid prices for wind and solar operators can be determined in the same manner as the day-ahead market phase, aggregating incremental power and sorting it by bid price to form a stepped bid curve. The market cleared during the day, resulting in increased power output from successful bids. and clearing electricity price Based on the recent curtailment trading plan, wind and solar operators have adjusted and reported the incremental curtailment power in the internal market. And the incremental pricing of abandoned electricity .in Constraints should be satisfied , This indicates that the hydrogen production system can absorb the first hydrogen during time period t. n The amount of electricity abandoned by wind and solar power manufacturers.

[0099] Step S403: Determine the time-of-use electricity purchase cost constraint based on the incremental power of abandoned electricity and the bid price for the incremental power of abandoned electricity; It should be noted that the methods for determining the curtailment curve and the operating power of hydrogen production units are basically the same as those in the day-ahead stage; the difference lies in the optimization objective function. The incremental power curtailment should be considered. And the incremental pricing of abandoned electricity Meanwhile, the optimized interval is To mitigate production losses for hydrogen producers due to reduced curtailment of electricity by wind and solar operators, this embodiment incorporates a time-of-use (TOU) electricity cost constraint: (1) When At that time, hydrogen production operators through And the incremental pricing of abandoned electricity Incremental curtailment power selection will be conducted without penalizing wind and solar power providers (i.e., wind and solar operators). The day-ahead curtailment transaction fee is (wind and solar operator curtailment price). ):

[0100] (2) When At that time, hydrogen producers are required to accept applications for curtailment reductions and will apply a discount based on their day-ahead curtailment price. The discounted prices are as follows:

[0101] Step S404: Determine intraday clearing constraints based on time-of-use electricity purchase cost constraints and incremental power; It should be noted that determining the intraday clearing constraint based on the time-of-use electricity purchase cost constraint and incremental power can be achieved by determining the electricity purchase cost (i.e., the intraday clearing constraint) in the hydrogen production manufacturer's intraday optimization objective function (i.e., the hydrogen production cost objective function) based on the aforementioned time-of-use electricity purchase cost constraint as follows:

[0102] At the same time, constraints should be added. , To enable the electricity spot market to determine the clearing price for each time period based on system demand, for t Time-based hydrogen production manufacturers select the first n Increased abandonment of electricity by home-based wind and solar operators.

[0103] Step S405: Determine the intraday power curtailment trading scheme based on the intraday clearing constraint and the hydrogen production cost objective function.

[0104] It should be noted that determining the intraday curtailment trading scheme based on intraday clearing constraints and the hydrogen production cost objective function can be achieved by replacing the corresponding constraints in the hydrogen production cost objective function determined in the previous day stage with intraday clearing constraints to obtain the intraday hydrogen production cost objective function, and then solving for the optimal combination of incremental changes in the intraday curtailment trading curve. and the price of abandoned electricity The plan involves the same-day power curtailment trading scheme, clearing the internal electricity market, and determining the power curtailment trading contracts within the same day.

[0105] Furthermore, to quantify each member's marginal contribution to the total deviation, avoid "free-riding," and ensure that benefits and responsibilities are commensurate, the steps for determining the real-time market curtailment trading scheme are as follows, based on the intraday curtailment trading scheme and real-time market stage constraints: Based on the intraday curtailment trading scheme and the real-time market stage constraints, the real-time market curtailment trading scheme is obtained by real-time market stage scheduling. The real-time market stage constraints include target power balance constraints and target time-of-use electricity purchase cost constraints. Determine the deviation in electricity volume for both wind and solar power operators and hydrogen producers; Penalty information is determined based on the deviation in electricity consumption; The objective function for real-time market hydrogen production cost is determined based on the penalty information, and a real-time market power curtailment trading scheme is determined based on the objective function for real-time market hydrogen production cost.

[0106] It should be noted that the real-time phase is divided into the real-time market reporting phase and the real-time dispatch instruction issuance phase. The real-time market reporting phase involves reporting power output changes for the next 5 minutes to the next 1 hour. This phase updates the ultra-short-term power output forecast curves of wind and solar operators, and the market reporting method is the same as the intraday phase, with a time resolution of 5 minutes.

[0107] This phase should consider making reasonable use of grid power interaction to reduce the start-up and shutdown of electrolyzers; therefore, the power balance constraints should be modified as follows:

[0108]

[0109] In the formula, for t The time-based hydrogen production system is powered by electricity purchased from the power grid. for t The time-based hydrogen production system uses electricity generated within the virtual power plant that exceeds the amount contracted for curtailment.

[0110] The hydrogen production system uses electricity generated within the virtual power plant that exceeds the amount contracted for curtailment. It should not exceed the amount of electricity that the wind power operator reports as being able to absorb:

[0111] The proportion of green electricity used in hydrogen production should meet market and policy requirements.

[0112] In the formula, This indicates the lower limit of the proportion of green electricity.

[0113] In the objective function The model is modified as follows, namely, the target time-of-use electricity purchase cost constraint:

[0114] in, Updated based on intraday trading activity. The real-time clearing price at time t.

[0115] Substituting the above constraints into the hydrogen production cost objective function determined in the day-to-day phase, the optimal combination of real-time power curtailment trading curves is obtained. and the price of abandoned electricity This refers to a real-time market-based power curtailment trading scheme, which clears out the internal power market.

[0116] It should be noted that the real-time dispatch instruction issuance phase involves EMS instruction issuance and AGC instruction issuance. EMS instruction issuance has a resolution of 5 minutes and can be issued based on the real-time market curtailment trading scheme; AGC instruction issuance has a time resolution of 4-15 seconds, with the optimized time range being the next AGC instruction issuance time. This embodiment mainly discusses the AGC dispatch instruction determination method. Specifically, since prediction errors always exist for wind and solar operators, it is necessary to balance the prediction errors in real time. Furthermore, the real-time phase mainly involves issues related to reducing the assessment burden on virtual power plants, maximizing alliance profits, and profit distribution.

[0117] The predicted deviation in power generation for wind and solar power plants is:

[0118] In the formula, For wind and solar power stations n exist t It provides power in real time at all times.

[0119] The total deviation of the virtual power plant is:

[0120] in, This represents the difference between the actual output of the PEM electrolyzer and the output obtained from real-time stage optimization. This represents the difference between the actual output power of the energy storage charging system and the energy storage charging power obtained through real-time optimization. This represents the difference between the actual output power of the energy storage discharge and the energy storage discharge power obtained through real-time optimization.

[0121] The percentage of deviation is:

[0122] In the formula, S n For wind and solar power stations n Installed capacity.

[0123] According to the rules of the electricity market, deviations in electricity volume are settled based on real-time prices; therefore, the market transaction deviation fee is:

[0124] In the formula, The real-time clearing price at time t.

[0125] At the same time, the percentage deviation of output is assessed. The commonly used assessment method is: when the actual output is greater than ±3% of the final clearing result within the day, an assessment is conducted, and the assessment fee is calculated as follows:

[0126] k is used to characterize the penalty multiplier.

[0127] Therefore, the penalty for virtual power plants is:

[0128] This patent employs an allocation method based on the Shapley Value. Each member's penalty / benefit allocation is determined by their marginal contribution, which is the average impact of that member's addition to different subsets on the total deviation. The Shapley Value calculation principle is as follows:

[0129] In the formula, N * represents the set of all power plants; S Indicates excluding power plants n A subset of. C ( S ) represents a subset S The penalty cost resulting from the total deviation.

[0130] To accelerate the optimization calculation speed, this embodiment divides wind and solar operators and hydrogen producers into two entities. Therefore, the calculation method for the penalty / revenue sharing of hydrogen producers is as follows:

[0131] In the formula, The penalty was imposed solely on hydrogen producers adjusting their output. This indicates that hydrogen producers and wind and solar power operators jointly adjusted their output, resulting in penalties. This indicates that only the wind and solar manufacturers adjusted their output, resulting in penalties.

[0132] in, The calculation method is as follows: Refer to the calculation formula for the total deviation of the virtual power plant mentioned above:

[0133] When calculating the penalties incurred by hydrogen producers adjusting their output, the formula above should include... Setting it to 0, the result is... The calculation formula is:

[0134] The calculation of the penalties imposed by the wind and solar power manufacturers due to adjustments in their output. hour, equal .

[0135] The combined efforts of hydrogen producers and wind and solar power operators have resulted in penalties. hour, The formula remains unchanged:

[0136] Therefore, the objective function for hydrogen production costs is updated as follows:

[0137] Simultaneously, the output of the PEM electrolytic cell needs to be updated. and energy storage charging and discharging output , .

[0138] It is worth noting that the output of ALK will not be adjusted in this stage; the optimization variable is... , and Optimize update retrieval. , and This generates an AGC command which is then issued to the corresponding hydrogen production equipment. The Shapley value allocation method is also used for the distribution of revenue after actual operation, and will not be elaborated upon here.

[0139] This embodiment determines the incremental power of wind and solar operators based on the power absorption curve and intraday phased power forecast information; it determines the incremental power and bid price of wind and solar operators based on the day-ahead curtailment trading scheme; it determines the time-of-use (TOU) fee constraint based on the incremental power and bid price; it determines the intraday clearing constraint based on the TOU constraint and the incremental power; and it determines the intraday curtailment trading scheme based on the intraday clearing constraint and the hydrogen production cost objective function. The above steps in this embodiment can effectively utilize wind and solar curtailment for hydrogen production, converting previously wasted curtailment into green hydrogen production resources and significantly reducing wind and solar curtailment rates.

[0140] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the hydrogen production control method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0141] This application also provides a device for regulating hydrogen production from surplus electricity; please refer to [reference needed]. Figure 5 The power-waste hydrogen production control unit includes: Module 10 is used to obtain the curtailment power curves and curtailment prices of each wind and solar power operator. The constraint determination module 20 is used to determine constraint conditions based on the operating requirements and power balance of the hydrogen production equipment. Function construction module 30 is used to construct the hydrogen production cost objective function, which includes the amount of electricity abandoned and the price of abandoned electricity. The curtailment trading scheme determination module 40 is used to determine the curtailment trading scheme based on the curtailment power curves, curtailment prices, constraints, and hydrogen production cost objective functions of each wind and solar operator. The abandoned electricity hydrogen production module 50 is used to regulate hydrogen production equipment based on abandoned electricity trading schemes.

[0142] This embodiment obtains the curtailment electricity curves and curtailment prices of each wind and solar power operator; determines constraints based on the operating requirements and power balance of hydrogen production equipment; constructs a hydrogen production cost objective function, which includes the curtailment electricity volume and curtailment price; determines a curtailment trading scheme based on the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of each wind and solar power operator; and regulates and controls the hydrogen production equipment based on the curtailment trading scheme. Because this embodiment determines the curtailment trading scheme for hydrogen production from curtailed electricity using the curtailment electricity curves, curtailment prices, constraints, and hydrogen production cost objective function of each wind and solar power operator, compared to existing green hydrogen and gray hydrogen production methods, this embodiment not only improves the economic efficiency, flexibility, and green attributes of hydrogen production, but also better adapts to the operating rules of the electricity market and the fluctuating characteristics of new energy sources.

[0143] The waste-to-hydrogen production control device provided in this application, employing the waste-to-hydrogen production control method described in the above embodiments, can solve the technical problem of high cost in existing green hydrogen production. Compared with the prior art, the beneficial effects of the waste-to-hydrogen production control device provided in this application are the same as those of the waste-to-hydrogen production control method provided in the above embodiments, and other technical features in the waste-to-hydrogen production control device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0144] This application provides a device for regulating hydrogen production from surplus electricity, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the hydrogen production regulation method in Embodiment 1 described above.

[0145] The following is for reference. Figure 6 The diagram illustrates a structural schematic suitable for implementing the waste-to-hydrogen control device in the embodiments of this application. The waste-to-hydrogen control device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The illustrated hydrogen production control equipment for surplus electricity is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0146] like Figure 6As shown, the waste-to-hydrogen control equipment may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the waste-to-hydrogen control equipment. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the waste-to-hydrogen control equipment to communicate wirelessly or wiredly with other equipment to exchange data. Although the figure shows waste-to-hydrogen control equipment with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0147] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0148] The waste-to-hydrogen production control equipment provided in this application, employing the waste-to-hydrogen production control method described in the above embodiments, can solve the technical problem of high cost in existing green hydrogen production. Compared with the prior art, the beneficial effects of the waste-to-hydrogen production control equipment provided in this application are the same as those of the waste-to-hydrogen production control method provided in the above embodiments, and other technical features of the waste-to-hydrogen production control equipment are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0149] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0150] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0151] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the waste-to-hydrogen control method in the above embodiments.

[0152] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0153] The aforementioned computer-readable storage medium may be included in the waste-to-hydrogen control equipment; or it may exist independently and not be assembled into the waste-to-hydrogen control equipment.

[0154] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Python, Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0155] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0156] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0157] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for controlling the surplus electricity used to produce hydrogen, thereby solving the technical problem of high costs in existing green hydrogen production. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the surplus electricity used to produce hydrogen provided in the above embodiments, and will not be repeated here.

[0158] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for controlling hydrogen production by wasted electricity.

[0159] The computer program product provided in this application can solve the technical problem of high cost in existing green hydrogen production. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the waste-to-hydrogen control method provided in the above embodiments, and will not be repeated here.

[0160] The above are only some embodiments of this application and do not limit the scope of protection of this application. All equivalent structural transformations made under the technical concept of this application and using the content of this application specification and drawings, or direct / indirect applications in other related technical fields, are included in the scope of protection of this application.

Claims

1. A method for regulating hydrogen production from surplus electricity, characterized in that, The method for regulating hydrogen production from surplus electricity includes the following steps: Obtain the curtailment electricity curves and curtailment prices of each wind and solar power operator; The constraints are determined based on the operating requirements and power balance of the hydrogen production equipment. Construct a hydrogen production cost objective function, which includes the amount of electricity curtailed and the price of curtailed electricity. Based on the curtailment electricity curves of each wind and solar operator, the curtailment price, the constraints, and the objective function of hydrogen production cost, a curtailment trading scheme is determined. The hydrogen equipment is controlled based on the aforementioned power curtailment trading scheme.

2. The method for regulating hydrogen production from surplus electricity as described in claim 1, characterized in that, The step of determining the power curtailment trading scheme based on the curtailment electricity curves of each wind and solar operator, the curtailment price, the constraints, and the objective function of hydrogen production cost includes: Based on the day-ahead curtailment power curves, day-ahead curtailment prices, the constraints, and the hydrogen production cost objective function of each wind and solar operator, a day-ahead curtailment trading scheme is determined. Based on the day-ahead curtailment trading scheme and the incremental power of the wind and solar operators within the day, the day-ahead curtailment trading scheme is determined. Based on the intraday curtailment trading scheme and the real-time market stage constraints, a real-time market curtailment trading scheme is determined.

3. The method for regulating hydrogen production from surplus electricity as described in claim 2, characterized in that, The step of determining the intraday curtailment trading scheme based on the day-ahead curtailment trading scheme and the intraday incremental power of the wind and solar operators includes: The incremental power of the wind and solar operators is determined based on the power absorption curve and the intraday phased power forecast information of the wind and solar operators. The incremental power and incremental bid price for curtailment by the wind and solar operators are determined based on the aforementioned day-ahead curtailment trading scheme. The time-of-use electricity purchase cost constraint is determined based on the incremental power of abandoned electricity and the incremental price of abandoned electricity. The intraday clearing constraint is determined based on the time-of-use electricity purchase cost constraint and the incremental power; The intraday power curtailment trading scheme is determined based on the intraday clearing constraint and the hydrogen production cost objective function.

4. The method for regulating hydrogen production from surplus electricity as described in claim 2, characterized in that, The step of determining the real-time market power curtailment trading scheme based on the intraday curtailment trading scheme and real-time market stage constraints includes: Based on the intraday curtailment trading scheme and the real-time market stage constraints, a real-time market curtailment trading scheme is obtained by performing real-time market stage scheduling. The real-time market stage constraints include target power balance constraints and target time-of-use electricity purchase cost constraints. Determine the deviation in electricity volume for each of the wind and solar operators and the hydrogen production manufacturers; Penalty information is determined based on the deviation in electricity consumption; The real-time market hydrogen production cost objective function is determined based on the penalty information, and a real-time market power curtailment trading scheme is determined based on the real-time market hydrogen production cost objective function.

5. The method for regulating hydrogen production from surplus electricity as described in any one of claims 1-4, characterized in that, The steps for obtaining the curtailment power curves and curtailment prices of each wind and solar operator include: Obtain forecasted power information from various wind and solar power operators; Determine the electricity price curve based on the predicted electricity information; The winning bid curve for wind and solar operators is determined based on the aforementioned electricity price curve. The power consumption curve and sales price are determined based on the winning bid curve of the wind and solar operators. The curtailment power curve and curtailment price are determined based on the power absorption curve and the predicted power information.

6. The method for regulating hydrogen production from surplus electricity as described in any one of claims 1-4, characterized in that, The power curtailment trading scheme includes the optimal power curtailment curve, power curtailment trading price, and operating parameters of the hydrogen production control equipment; The power curtailment transaction is conducted based on the optimal power curtailment curve and the power curtailment transaction price; The steps for regulating hydrogen equipment based on the aforementioned power curtailment trading scheme include: The operating parameters of the hydrogen production control equipment are sent to the corresponding hydrogen production control equipment for the control of hydrogen production from wasted electricity.

7. A device for regulating hydrogen production from surplus electricity, characterized in that, The abandoned electricity hydrogen production control device includes: The acquisition module retrieves the curtailment electricity curves and curtailment prices of each wind and solar power operator. The constraint determination module is used to determine constraint conditions based on the operating requirements and power balance of the hydrogen production equipment. The function construction module is used to construct the hydrogen production cost objective function, which includes the amount of electricity abandoned and the price of abandoned electricity. The power curtailment trading scheme determination module is used to determine the power curtailment trading scheme based on the power curtailment curves of each wind and solar operator, the power curtailment price, the constraints, and the objective function of hydrogen production cost. The abandoned electricity hydrogen production module is used to control the hydrogen equipment based on the abandoned electricity trading scheme.

8. A device for regulating hydrogen production from surplus electricity, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for controlling the abandoned electricity hydrogen production as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the method for controlling the abandoned electricity hydrogen production as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the method for controlling the waste-to-hydrogen production as described in any one of claims 1 to 6.

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