Hydrogen production machine cluster load scheduling method and device considering flexible reserve of hydrogen production by electro-olefin hydrogen, and medium

Abstract

The invention discloses a hydrogen production machine cluster load scheduling method and device considering flexible reserve of hydrogen production by electro-olefin hydrogen and a medium. The method comprises the following steps: S100, constructing a state switching logic model of a single hydrogen production machine, wherein the state switching logic model comprises a standby state of the single hydrogen production machine; s200, on the basis of the state switching logic model, constructing a comprehensive hydrogen production machine cluster load model; s300, performing relaxation processing on the comprehensive hydrogen production machine cluster load model, and based on the state switching logic model, constructing a hydrogen production machine cluster load model considering electro-olefin hydrogen production flexible reserve; and S400, establishing a double-layer hydrogen production machine cluster optimization scheduling model comprising an upper-layer scheduling model and a lower-layer scheduling model for a hydrogen production machine and an energy storage system under the condition of wind power uncertainty based on the hydrogen production machine cluster load model considering the electro-olefin hydrogen production flexible reserve. The economical efficiency of the hydrogen production system can be realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of comprehensive energy optimization and scheduling, and in particular relates to a method, device and medium for scheduling the load of a hydrogen generator cluster taking into account the flexible standby of hydrogen production by electric hydrogen. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] As the global energy crisis and environmental problems become increasingly prominent, the energy system is faced with the development tasks of improving quality and efficiency and saving energy and reducing emissions. Concepts such as Integrated Energy System (IES) have been proposed and studied by scholars at home and abroad. With its optimization of energy utilization and the realization of complementary advantages and efficient utilization through the conversion of different energy sources, it has gradually become an inevitable element of change in the energy field.

[0004] Hydrogen is green and pollution-free during combustion, and is an important carrier to help the clean and low-carbon development of the energy system. Electron hydrogen technology is seen as an important means to promote multi-energy coupling and new energy consumption, and has great potential in promoting the low-carbon economic operation of the integrated energy system and the efficient use of internal renewable energy.

[0005] However, renewable energy sources such as wind and solar energy are used as input power for hydrogen production systems, which are volatile and uncertain. This will cause the electrolyzer to start and stop frequently during operation, which will not only reduce its own service life, but also cause its hydrogen production to decrease, and even affect the purity of the product hydrogen and the concentration of hydrogen in oxygen, thereby affecting the safety of the entire electro-hydrogen system.

[0006] On the one hand, the volatility of wind power exacerbates the fluctuation of electric energy. The efficient and stable operation of the energy conversion process is crucial to the impact of electro-ene hydrogen equipment. On the other hand, the fluctuation of hydrogen production power will have a great impact on the life of the hydrogen production device and the purity of hydrogen, which puts high demands on the electrolytic cell. By optimizing the materials such as electrodes and catalysts of the electrolytic cell, the cost of electrolysis can be reduced; the efficiency of hydrogen production can be improved; by optimizing the isolation membrane, etc., the performance can be improved; by adjusting the process parameters, the electrolytic cell's resistance to power fluctuations can be improved to ensure the safe operation of the system. Changing the electro-ene hydrogen electromagnetic energy supply load configuration and cluster control strategy is worth considering in the short term.

[0007] In the existing technology, the wind storage hydrogen production system and the traditional hydrogen generator cluster control method are difficult to flexibly respond to the fluctuations in wind power supply and changes in the state of the hydrogen generator. They lack flexibility and stability and lack a comprehensive system model. The existing electric hydrogen production load configuration is not suitable for the scenario of connecting to a large number of intermittent new energy sources, and has not considered the research on the hydrogen load configuration under the electric hydrogen technology. The load configuration obtained by the traditional optimization method is not the optimal solution. Moreover, there is a lack of effective strategies for the coordinated control of the hydrogen generator cluster and the energy storage system, which limits the overall performance and economic benefits of the system. Therefore, there is an urgent need for a new hydrogen generator cluster load scheduling method that can flexibly respond to the fluctuations in wind power supply and changes in the state of the hydrogen generator, change the electric hydrogen electromagnetic energy supply load configuration and cluster control strategy, and is of great significance to the optimal operation of the low-carbon economy of the comprehensive energy system. Summary of the invention

[0008] In view of the above-mentioned deficiencies of the prior art, the present invention aims to provide a method for load scheduling of a hydrogen generator cluster taking into account the flexibility and standby of hydrogen production by electric hydrogen.

[0009] The purpose of the present invention is to provide a load scheduling method for a hydrogen generator cluster taking into account the flexibility and standby of hydrogen production by wind power, so as to improve the economy and flexibility of the wind power hydrogen production system and effectively cope with the fluctuation of wind power supply; to design and change the electromagnetic energy supply load configuration and cluster control strategy of hydrogen generator, effectively manage and schedule the start and stop status of the hydrogen generator, and promote the low-carbon economic optimization operation of the integrated energy system; to design an optimization scheduling model that can formulate a real-time scheduling strategy according to the uncertainty of wind power and improve the overall efficiency of the hydrogen generator cluster; to propose an effective coordination control strategy to achieve the optimal scheduling of the system by comprehensively considering the flexibility constraints and economic goals of the hydrogen generator cluster and the energy storage system.

[0010] In order to achieve the above object, the present invention provides a method for load scheduling of a hydrogen generator cluster taking into account the flexibility of hydrogen production by electric hydrogen, which is characterized by comprising the following steps:

[0011] S100: constructing a state switching logic model of a single hydrogen generator, wherein the state switching logic model includes a shutdown state, a standby state, a production state, a startup action, and a shutdown action of the single hydrogen generator, and the state switching logic model includes a switching logic, wherein the switching logic includes switching the single hydrogen generator from any one of the shutdown state, the standby state, and the production state to any other state;

[0012] S200: Based on the state switching logic model, a comprehensive hydrogen generator cluster load model is constructed according to the predicted wind power, the power load of a single hydrogen generator, and the hydrogen production loss; according to the comprehensive hydrogen generator cluster load model, the optimal state of each hydrogen generator is scheduled, so that the wind power hydrogen production system can dynamically respond to the fluctuation of wind power supply;

[0013] S300: constructing a hydrogen generator cluster load model that takes into account the flexibility and standby of hydrogen production by electric hydrogenation based on the state switching logic model by performing relaxation processing on the comprehensive hydrogen generator cluster load model;

[0014] S400: Based on the hydrogen generator cluster load model taking into account the flexible standby of hydrogen production by electric hydrogen, under the condition of wind power uncertainty, a double-layer hydrogen generator cluster optimization scheduling model including an upper scheduling model and a lower scheduling model is established for the hydrogen generator and the energy storage system;

[0015] Among them, the upper-level scheduling model generates the start and stop instructions and load distribution plan of the hydrogen generator cluster according to the wind power; the lower-level scheduling model, based on the state switching logic model, adjusts the regulation instructions in real time according to the wind power predicted power deviation to coordinate the control of the hydrogen generator cluster and the energy storage system.

[0016] In order to achieve the above-mentioned object, the present invention also provides a power grid dispatching device considering the electric olefin hydrogen electromagnetic energy supply load and wind power consumption, including a memory, a processor and a computer program, wherein the memory is connected to the processor:

[0017] a memory configured to store the computer program;

[0018] a processor configured to run the computer program;

[0019] Wherein, when the computer program is executed by the processor, the load scheduling method of the hydrogen generator cluster taking into account the flexible standby of hydrogen production by electric hydrogen is executed.

[0020] In order to achieve the above-mentioned objectives, the present invention also provides a non-temporary computer-readable storage medium, which is configured to store computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the load scheduling method for a hydrogen production machine cluster taking into account the flexible standby of hydrogen production from electric hydrogen is executed.

[0021] Compared with the prior art, the present invention has the following beneficial technical effects:

[0022] The present invention proposes a method for load scheduling of a hydrogen generator cluster taking into account the flexibility and standby of hydrogen production by electric olefins, including constructing a state switching logic model of a single hydrogen generator, a comprehensive hydrogen generator cluster load model, and a hydrogen generator cluster load model taking into account the flexibility and standby of hydrogen production by electric olefins. The present invention realizes the dynamic response of the system to power supply fluctuations and the flexible management of the status of hydrogen production equipment by constructing a comprehensive hydrogen generator cluster load scheduling model. By constructing a two-layer scheduling model method, it can dynamically respond to the fluctuation of wind power supply, improve the flexibility and stability of the system, and reduce the impact caused by wind power fluctuations; and improve the evaluation accuracy of the lower-level regulation demand, by introducing the scenario method to model the uncertainty of wind power, and considering the flexibility and standby, so as to accurately evaluate the regulation power demand of the lower-level scheduling model, so that the system can more effectively respond to the real-time fluctuation of wind power, reduce the phenomenon of wind abandonment, and optimize the storage and release of energy. The present invention effectively solves the problem of insufficient real-time and flexibility of the traditional hydrogen generator cluster control method through the sending of real-time scheduling strategies and adjustment instructions, and improves the overall efficiency and stability of the hydrogen generator cluster. The present invention realizes the optimized scheduling of the hydrogen generator cluster and the energy storage system through the coordinated control strategy. At the same time, it reduces the phenomenon of wind power abandonment and optimizes the storage and release of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0024] Figure 1A A flow chart of a method for load scheduling of a hydrogen generator cluster taking into account the flexible standby of hydrogen production by electric hydrogen into account according to a specific embodiment of the present invention;

[0025] Figure 1B It is a structural schematic diagram of a wind power hydrogen production system provided by a specific embodiment of the present invention;

[0026] Figure 2 It is a schematic diagram of cluster load stratification optimization control provided by a specific embodiment of the present invention;

[0027] Figure 3 It is a schematic diagram of cluster load flexible adjustment space under the condition of uncertain wind power provided by a specific embodiment of the present invention;

[0028] Figure 4 It is a performance comparison diagram of an operating condition taking into account the flexible standby of hydrogen production and an operating condition not taking into account the flexible standby of hydrogen production provided by a specific embodiment of the present invention;

[0029] Figure 5A It is a combination diagram of hydrogen production units under working condition I taking into account the flexibility and standby of hydrogen production provided by a specific embodiment of the present invention;

[0030] Figure 5B It is a combination diagram of hydrogen production units under working condition II without considering the flexible standby of hydrogen production provided by a specific embodiment of the present invention;

[0031] Figure 6 is an output curve of a hydrogen generator and an energy storage system that cooperate to absorb wind power fluctuations, provided by a specific embodiment of the present invention; and,

[0032] Figure 7 A schematic diagram of a load cluster scheduling device taking into account flexible standby for hydrogen production from electric hydrogen is provided for a specific embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present invention is further described in detail below through the accompanying drawings and specific embodiments.

[0034] It should be noted that the following detailed descriptions are all illustrative and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in this embodiment have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0035] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms include and / or include are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0036] Figure 1A A flow chart of a method for scheduling a hydrogen generator cluster load taking into account the flexibility of hydrogen production by electric hydrogen is provided as a specific embodiment of the present invention. Figure 1A As shown, in a specific embodiment of the present invention, the present invention provides a method for load scheduling of a hydrogen generator cluster taking into account the flexibility of hydrogen production by electric hydrogen, including the following steps:

[0037] S100: constructing a state switching logic model of a single hydrogen generator, wherein the state switching logic model includes a shutdown state, a standby state, a production state, a startup action, and a shutdown action of the single hydrogen generator, and the state switching logic model includes a switching logic, wherein the switching logic includes switching the single hydrogen generator from any one of the shutdown state, the standby state, and the production state to any other state;

[0038] S200: Based on the state switching logic model, a comprehensive hydrogen generator cluster load model is constructed according to the predicted wind power, the power load of a single hydrogen generator, and the hydrogen production loss; according to the comprehensive hydrogen generator cluster load model, the optimal state of each hydrogen generator is scheduled, so that the wind power hydrogen production system can dynamically respond to the fluctuation of wind power supply;

[0039] S300: constructing a hydrogen generator cluster load model that takes into account the flexibility and standby of hydrogen production by electric hydrogenation based on the state switching logic model by performing relaxation processing on the comprehensive hydrogen generator cluster load model;

[0040] S400: Based on the hydrogen generator cluster load model taking into account the flexible standby of hydrogen production by electric hydrogen, under the condition of wind power uncertainty, a double-layer hydrogen generator cluster optimization scheduling model including an upper scheduling model and a lower scheduling model is established for the hydrogen generator and the energy storage system;

[0041] Among them, the upper-level scheduling model generates the start and stop instructions and load distribution plan of the hydrogen generator cluster according to the wind power; the lower-level scheduling model, based on the state switching logic model, adjusts the regulation instructions in real time according to the wind power predicted power deviation to coordinate the control of the hydrogen generator cluster and the energy storage system.

[0042] Figure 1B The following is a schematic diagram of the structure of a wind power hydrogen production system provided by a specific embodiment of the present invention. The typical structure of a wind power hydrogen production system is as follows: Figure 1B As shown in the figure, the wind-storage hydrogen production system includes solar panels, inverters, combined heat and power (CHP) systems, electrolyzers, hydrogen storage tanks, fuel cells and other components. Solar panels convert sunlight into electrical energy, which is then converted into AC power by inverters and fed into CHP; CHP uses part of the electricity to drive generators and fuel cells, and the excess electricity and heat generated are used for power supply and heating / cooling respectively; at the same time, part of the electricity is fed into the electrolyzer for hydrogen production, and the generated hydrogen is stored in the hydrogen storage tank for use in fuel cells. The various components are closely connected through electricity and hydrogen pipelines, forming a complete wind-storage hydrogen production system.

[0043] The hydrogen production state is divided into three states: shutdown, standby, and production. The state adjustment can be used to adapt to power fluctuations.

[0044] The specific modeling of the hydrogen generator cluster system is as follows:

[0045]

[0046] Where: are 0-1 variables, representing the production, standby, and shutdown status of the nth hydrogen generator at time t; The 0-1 variables representing the startup and shutdown actions of the hydrogen generator are respectively. When the standby state is converted to the production state, no startup action is required, but when the production state is converted to the standby state, a shutdown action is required, so the above constraints are formulated.

[0047] In a specific embodiment of the present invention, in the scheduling method, in step S100, the shutdown state, standby state, production state, startup action and shutdown action of a single hydrogen generator are used as variables of 0 or 1.

[0048] In a specific embodiment of the present invention, in the scheduling method, in step S100, the switching logic further includes:

[0049] In step S100, the switching logic includes: when a single hydrogen generator is switched from a standby state to a production state, the startup action is 0; when a single hydrogen generator is switched from a production state to a standby state, the shutdown action is 1.

[0050] In a specific embodiment of the present invention, in the scheduling method, in step S100, the switching logic further includes:

[0051] When a single hydrogen generator is switched from standby mode to shutdown mode, shutdown mode acts as 1;

[0052] When a single hydrogen generator switches from shutdown to standby, the startup action is 1;

[0053] When a single hydrogen generator is switched from production state to shutdown state, shutdown state is set as 1;

[0054] When a single hydrogen generator switches from shutdown state to production state, the startup action is 1.

[0055] In a specific embodiment of the present invention, the scheduling method, the comprehensive hydrogen generator cluster load model includes the load range constraint, yield constraint and ramp constraint of the hydrogen generator cluster.

[0056] The load range constraint of the hydrogen generator cluster is

[0057]

[0058] Where: P n,t is the power of the nth hydrogen generator at time t; P t W P is the wind power prediction power; SB is the hydrogen production loss; P max and P min They are the upper and lower limits of single machine load respectively.

[0059] The expression of hydrogen production of a single device is as follows:

[0060]

[0061] η cell =(I n / A) 2 / [f1+(I n / A) 2 ]×f2 (5)

[0062] Where: is the hydrogen flow rate; N cell is the number of electrolytic cell chambers; F is the Faraday constant; η cell is the Faraday efficiency; I n represents the electrolysis current; is the electrolysis power; is the cell voltage; is the auxiliary power; the power consumed by the hydrogen generator is composed of electrolysis power and auxiliary power consumption. rev is the reversible voltage; T is the bath temperature; A is the electrode area; r1, r2, s , t1, t2, t3 are constant coefficients; f1, f2 are temperature-related coefficients.

[0063] The above model is seriously non-convex, so we make some relaxation:

[0064]

[0065] Where A, B, and C are coefficient matrices. The coefficient matrices A, B, and C are linearized to relax the severely non-convex hydrogen production model, so that the severely non-convex hydrogen production model can be transformed into a solvable load scheduling model.

[0066] In a specific embodiment of the present invention, the scheduling method, step S300 also includes linearizing the severely non-convex comprehensive hydrogen generator cluster load model to construct a hydrogen generator cluster load model that takes into account the flexible standby of hydrogen production from electric hydrogen.

[0067] The produced hydrogen usually needs to be compressed and buffered to meet the user's pressure and stable production requirements. The hydrogen compression and buffer tank model is

[0068]

[0069] Where: S t Indicates hydrogen storage capacity; and S F is the upper and lower limits of storage capacity; t out is the hydrogen flow rate at the back end; Δt is the scheduling step length; P t buffer is the compressor power; p1 and p2 are the pressures of hydrogen before and after compression respectively; T bufferIndicates the compressor temperature; η b is the compression efficiency; is the gas constant of hydrogen, where R is the ideal gas constant; is the molar mass of hydrogen.

[0070] Consider the impact of hydrogen stability constraints on hydrogen production scheduling. The yield constraint and ramp constraint of the hydrogen generator cluster load model can be expressed as hydrogen flow rate constraints, specifically:

[0071]

[0072] Where: Indicates the ramp rate of hydrogen supply; Indicates the maximum hydrogen flow rate; η + and η - The upper and lower limits of the hydrogen load ramp rate.

[0073] In order to achieve flexible regulation of the hydrogen generator cluster, the present invention proposes a double-layer scheduling model method taking into account the flexible reserve of hydrogen production by electric hydrogen based on the established hydrogen production model, which is used for the active power balance of the wind power hydrogen production system to achieve flexible regulation of the hydrogen generator cluster.

[0074] Figure 2 is a schematic diagram of cluster load stratification optimization control principle provided by a specific embodiment of the present invention. The structure of the method is shown as follows Figure 2 As shown, the upper / lower layers use different optimization control cycles and control steps respectively.

[0075] The upper-level scheduling model optimizes the control cycle with a resolution of 15 minutes and is responsible for formulating the daily production plan. In order to accurately evaluate the power adjustment needs of the lower-level scheduling model, the scenario method is introduced to model the uncertainty of wind power. Then, under the constraints of hydrogen production, storage and use, the "flexibility reserve" required for real-time fluctuations in wind power is considered, and the start and stop instructions and load distribution plan of the hydrogen generator cluster are generated with the goal of maximizing operating benefits.

[0076] Given the short time scale of hydrogen production, the lower-level scheduling model achieves energy balance on a second-level time scale. In each control interval, the flexibility constraints of the hydrogen generator cluster and the energy storage system are fully considered, and the most economical control strategy is formulated to maximize the absorption of wind power and eliminate the impact of real-time wind power fluctuations. The lower-level scheduling model maintains the power balance within the system by issuing real-time power adjustment instructions to the hydrogen generator and the energy storage system.

[0077] The lower-level scheduling model is executed in a rolling manner. After the current optimization control cycle ends, the power state of the hydrogen generator and the energy storage system will be used as the initial value for the next round of upper-level scheduling model scheduling, thereby realizing a closed-loop feedback control system. The lower-level scheduling model in the two-level scheduling model method maintains the power balance within the system by issuing real-time power adjustment instructions to the hydrogen generator and the energy storage system.

[0078] In the upper-level scheduling model, production plans are formulated based on the predicted wind power value with the goal of achieving optimal economic efficiency.

[0079] For a single hydrogen generator, its flexibility is measured by the current operating status (operating / shutdown / standby), power level, and the allowed upward / downward adjustment range and ramp rate.

[0080] For the entire hydrogen generator cluster, the adjustable power and ramp capability are equal to the sum of the total adjustable power range and ramp rate that can be provided by all devices in the non-shutdown state.

[0081] Given that the response speed of hydrogen generators is different from that of power equipment, the upper-level dispatch model should try to retain real-time adjustment capabilities to fully absorb wind power fluctuations. Therefore, the upper and lower limits of "flexibility reserve" are formulated, namely power constraints and ramp constraints.

[0082] The upper-level scheduling model in the two-level scheduling model method aims to achieve optimal economic performance, taking into account the flexible standby of the hydrogen generator and maximizing the system operation benefits, thereby achieving optimal economic performance.

[0083] In a specific embodiment of the present invention, in the scheduling method, the upper-level scheduling model has an optimization control period with a resolution of 15 minutes.

[0084] In a specific embodiment of the present invention, the scheduling method, the upper-level scheduling model, generates start-stop instructions and load distribution plans for the hydrogen generator cluster according to wind power, including: the upper-level scheduling model, by introducing a scenario method to model the uncertainty of wind power, and taking into account the flexibility and reserve of hydrogen production from hydrogen-electric olefins, generates start-stop instructions and load distribution plans for the hydrogen generator cluster according to wind power and based on the upper-level objective function of the upper-level scheduling model.

[0085] Figure 3 FIG. 1 is a schematic diagram of cluster load flexible adjustment space under the condition of uncertain wind power provided by a specific embodiment of the present invention. Figure 3 Take as an example, this is a schematic diagram of the power adjustable range of the hydrogen generator cluster within the time window. This range is determined by the single-machine capacity, ramp rate and current operating status of each hydrogen generator in the cluster. Figure 3The power adjustment potential of the hydrogen generator cluster at different time points is demonstrated, especially the hydrogen production increase flexibility reserve constraint, hydrogen production increase flexibility reserve constraint, and hydrogen production climbing capacity limitation of the hydrogen generator. This is of great significance for power system operators and hydrogen generator cluster managers, and helps to formulate more reasonable energy management strategies, optimize resource allocation, and thus improve the flexibility and reliability of the entire power system.

[0086] like Figure 3 As shown, in a specific embodiment of the present invention, the scheduling method establishes the upper-level scheduling model based on the hydrogen production increase flexibility reserve constraint, the hydrogen production increase flexibility reserve constraint and the hydrogen production climbing capacity limitation of the hydrogen generator.

[0087] In a specific embodiment of the present invention, in the scheduling method, the lower-layer scheduling model has an optimized control period with a resolution of seconds.

[0088] In a specific embodiment of the present invention, the scheduling method, the lower-level scheduling model, based on the state switching logic model, adjusts the regulation instructions in real time according to the wind power predicted power deviation to coordinate the control of the hydrogen generator cluster and the energy storage system, including: considering the state switching logic model, and taking into account the flexibility of hydrogen production from hydrogen-based electricity, according to the wind power prediction deviation, based on the lower-level objective function of the lower-level scheduling model, adjusting the power regulation instructions in real time to coordinate the control of the hydrogen generator cluster and the energy storage system.

[0089] When formulating the production plan of the upper-level scheduling model, two aspects need to be considered simultaneously:

[0090] First, the adjustable range provided by the hydrogen generator cluster should adjust the volatility of wind power as much as possible to ensure that the uncertainty of wind energy can be effectively dealt with;

[0091] Secondly, the ramp rate of the hydrogen generator cluster should be able to meet the ramp demand of the maximum wind power in the corresponding period, thereby reducing the requirements for the power response speed of the hydrogen generator and energy storage system.

[0092] When the "flexible reserve" of the hydrogen generator cluster in the lower-level scheduling model is insufficient, this part of the wind power fluctuation will be borne by the energy storage system.

[0093] If the regulation capacity of the energy storage system is also insufficient, it will lead to power abandonment.

[0094] Therefore, in order to evaluate the demand for regulating power in the lower-level scheduling model, it is necessary to take into account the flexibility reserve constraints of hydrogen production from electric olefins in the upper-level scheduling model. In the scheduling of the upper-level scheduling model, the scenario method is introduced to model the uncertainty of wind power, and "flexibility reserve" is considered to accurately evaluate the demand for regulating power in the lower-level scheduling model.

[0095] The expression of the flexibility reserve constraint of hydrogen production by electro-hydrogen is as follows:

[0096]

[0097] Where: P t enve Respectively represent the upper and lower limits of short-time scale wind power, r AEL is the rated ramp rate of the hydrogen generator; r t w+ 、r t W- They are t The upper and lower limits of power ramping within the time period. The goal of the upper scheduling model is to maximize the system operation benefits of the hydrogen generator start-up and shutdown, energy consumption cost, and hydrogen production benefits, taking into account the flexibility of the hydrogen generator. The upper objective function of the upper scheduling model is:

[0098]

[0099] Where: C WT is the wind power price; C su , C sd The start-up and shutdown cost of the hydrogen generator; is the price of hydrogen; β is a non-negative penalty coefficient.

[0100] In a specific embodiment of the present invention, in the scheduling method, the upper-level objective function of the upper-level scheduling model includes a function of wind power price, hydrogen generator start-up and shutdown costs, hydrogen price and a non-negative penalty coefficient.

[0101] The upper-level scheduling model is organized as follows:

[0102]

[0103] The lower-level scheduling model maintains the internal power balance of the system by issuing real-time power adjustment instructions to the hydrogen generator and energy storage system, taking into account the adjustment capacity constraints of the hydrogen generator cluster and the energy storage system. The lower-level scheduling model takes economic optimization as its goal, fully considers the flexibility constraints of the hydrogen generator cluster and the energy storage system, and formulates a control strategy. The lower-level objective function of the lower-level scheduling model is:

[0104]

[0105] Where: ΔP t W is the wind power prediction deviation; is the change in hydrogen production; β b (s T -s0) 2 It is a penalty for the energy storage system deviating from the initial state.

[0106] In a specific embodiment of the present invention, in the scheduling method, the lower-level objective function of the lower-level scheduling model includes a function of wind power prediction deviation, hydrogen production change, and penalty for deviation of the energy storage system from an initial state.

[0107] The active power balance constraint of the lower-level scheduling model is:

[0108]

[0109] Where: ΔP n,t Indicates the regulating power allocated to each hydrogen generator; ΔP t b To allocate the regulating power to the energy storage system. According to the wind power forecast deviation, the regulating range of the energy storage system and the hydrogen generator is formulated to meet the system power balance.

[0110] In a specific embodiment of the present invention, in the scheduling method, the active power balance constraint of the lower scheduling model is related to the regulating power allocated to each hydrogen generator.

[0111] In a specific embodiment of the present invention, in the scheduling method, the active power balance constraint of the lower scheduling model includes a function of the regulating power allocated to each hydrogen generator and the regulating power allocated to the energy storage system.

[0112] The regulation power constraint of the hydrogen generator is determined according to the upper-level dispatching results to make full use of the flexible reserve:

[0113]

[0114] -η AEL P max ≤(ΔP n,t -ΔP n,t-1 ) / Δt≤η AEL P max (twenty two)

[0115] Where: ΔP n,t Indicates the regulated power allocated to each hydrogen generator; hydrogen generator status and benchmark load All of them have been obtained through the upper-level scheduling model.

[0116] In a specific embodiment of the present invention, the scheduling method determines the regulating power allocated to each hydrogen generator in the lower scheduling model according to the hydrogen generator state and the reference load optimized by the upper scheduling model.

[0117] In addition, it is necessary to consider the situation where insufficient wind power leads to energy storage system power supply and hydrogen production. The specific modeling method is shown in the following formula:

[0118]

[0119] After summarizing, the lower-level real-time control model can be expressed as:

[0120]

[0121] This embodiment is based on the 24-hour period of the day before, and considers whether hydrogen production provides "flexible reserve", and is divided into two operating conditions for execution. Operating condition I is to take into account the flexible reserve of hydrogen production; operating condition II is not to take into account the flexible reserve of hydrogen production.

[0122] The flexibility of the hydrogen generator is measured by the current operating state, power level, and the allowed up / down adjustment range and ramp rate.

[0123] Figure 4 It is a performance comparison chart of an operating condition taking into account the flexible reserve of hydrogen production and an operating condition not taking into account the flexible reserve of hydrogen production, provided by a specific embodiment of the present invention. Figure 4 The planned power results of the hydrogen generator cluster. In order to maximize the use of new energy to produce hydrogen,

[0124] right Figure 4 The interpretation is that, on the one hand, the present invention requires that the hydrogen generator cluster, while providing basic load, also has backup capacity and climbing capability to cope with real-time fluctuations in wind power; on the other hand, the state switching logic model established by the present invention can flexibly switch into production state or standby state according to the amount of new energy power generation, so that the lower-level scheduling model has a larger adjustment space.

[0125] Figure 5A It is a combination diagram of hydrogen production units under operating condition I taking into account the flexible standby of hydrogen production, provided by a specific embodiment of the present invention. Figure 5B It is a combination diagram of hydrogen production units under operating condition II without taking into account the flexible standby of hydrogen production, provided by a specific embodiment of the present invention.

[0126] right Figure 5A-Figure 5B The interpretation is, Figure 5A-Figure 5B The unit combination of the hydrogen generator cluster is demonstrated, taking into account the flexible backup control strategy of hydrogen production from electric hydrogen, which can better fit the fluctuations of new energy to adjust its own state and maximize benefits.

[0127] From an economic perspective, if the flexible standby of hydrogen production from electric olefins (operating condition II) is not taken into account, the profit of hydrogen production is 23,704 yuan, which is relatively high. However, the unabsorbed wind power is large, and the number of starts and stops is relatively large, which increases the operating cost.

[0128] From an economic perspective, if the flexible standby of hydrogen production from electro-olefins is taken into account (operating condition I), the profit of hydrogen production is 22,185 yuan. Although the profit of hydrogen production is relatively low, the electrolyzer combination has the least unabsorbed wind power and relatively controls the start and stop of the units, effectively improving the total operating income.

[0129] The decrease in hydrogen production revenue in Condition I is mainly due to the fact that part of the wind power supply is allocated to maintain the operation of more hydrogen generators to increase "flexibility reserve".

[0130] The increase in operating costs is due to the following reasons: without taking into account the flexible standby of hydrogen production from electric olefins, it is only necessary to ensure that the total power of the hydrogen production units that have been turned on can absorb the wind power; while when taking into account the flexible standby of hydrogen production from electric olefins, it is also necessary to ensure that the power adjustable range of the hydrogen production units can cover the fluctuations of wind power, which leads to an increase in the number of hydrogen production units that need to be turned on.

[0131] like Figure 5A-Figure 5B As shown, when the scheduling time t is from 20:00 to 24:00, compared with the operating condition II which does not take into account the flexible reserve of hydrogen production from electric olefins, the operating condition I which takes into account the flexible reserve of hydrogen production from electric olefins requires the startup of 1 to 2 additional hydrogen generators, and the single startup cost leads to an increase in the upper-level scheduling operation cost.

[0132] From the perspective of flexibility, both operating conditions can fully cover the range of wind power changes in terms of the aggregate down-regulation capability of hydrogen production load;

[0133] However, in terms of upward regulation capability, the load response capability of the hydrogen generator cluster in Condition I is sufficient to cope with the upward ramping demand of wind power. This is because the lower-level scheduling model of the two-layer scheduling model adjusts the instructions in real time (seconds) to ensure that the power response of the hydrogen generator cluster can match the fluctuation of wind power.

[0134] In operating condition II, due to the small number of hydrogen generators turned on in some periods, the large load of each unit and insufficient adjustable reserve, it is impossible to fully cope with the real-time fluctuations of wind power.

[0135] This situation will lead to a decrease in the regulation capacity of hydrogen production in the lower-level scheduling model, requiring the energy storage system to bear a greater regulation load, which will in turn have an adverse impact on the overall economic efficiency of the operation.

[0136] Table 1 Hydrogen generator cluster optimization operation results

[0137] Working conditions Hydrogen production profit / yuan Unabsorbed wind power / kW Start and stop times Working Condition I 22185 213 10 Working Condition II 23704 1443 7

[0138] Compared with Condition I, Condition II has higher profits from hydrogen production, but the unabsorbed wind power increases, and the start-stop cost is slightly reduced; however, the amount of regulation undertaken by the energy storage system decreases, and the final total revenue increases. Therefore, the superiority of Condition I taking into account the flexibility of hydrogen production can be demonstrated.

[0139] Figure 6 It is an output curve of a hydrogen generator and an energy storage system that cooperate to absorb wind power fluctuations, provided by a specific embodiment of the present invention. Figure 6 The wind power output consumption results of the Park integrated energy system (PIES) in a two-layer dispatching model obtained through computer simulation are given.

[0140] from Figure 6 It can be seen from the simulation results that the two-layer scheduling model proposed in the present invention has the advantage of fully absorbing wind power. Specifically, the coordinated control of the hydrogen generator and the energy storage system designed by the lower-layer scheduling model can dynamically allocate electric energy and hydrogen energy according to the deviation of wind power output, thereby more effectively tracking and absorbing the fluctuating wind power output.

[0141] In a specific embodiment of the present invention, the present invention also provides a power grid dispatching device considering electric olefin hydrogen electromagnetic energy load and wind power consumption, including a memory, a processor and a computer program, wherein the memory is connected to the processor:

[0142] a memory configured to store the computer program;

[0143] a processor configured to run the computer program;

[0144] Wherein, when the computer program is executed by the processor, the load scheduling method of the hydrogen generator cluster taking into account the flexible standby of hydrogen production by electric hydrogen is executed.

[0145] Please refer to Figure 7 , is a schematic diagram of a load cluster scheduling device taking into account the flexibility and standby of hydrogen production from electric olefins provided by a specific embodiment of the present invention. The load cluster scheduling device taking into account the flexibility and standby of hydrogen production from electric olefins is preferably a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable by the processor. When the processor executes the computer program, any of the above methods is implemented.

[0146] In a specific embodiment of the present invention, the present invention also provides a non-transitory computer-readable storage medium, which is configured to store computer-readable instructions, wherein when the computer-readable instructions are executed by a processor, the hydrogen production machine cluster load scheduling method taking into account the flexible standby of hydrogen production from electric hydrogen is executed.

[0147] Compared with the prior art, the present invention has the following beneficial technical effects:

[0148] The present invention proposes a load scheduling method for a hydrogen generator cluster taking into account the flexibility and standby of hydrogen production from electric olefins, including constructing a state switching logic model of a single hydrogen generator, a comprehensive hydrogen generator cluster load model, and a hydrogen generator cluster load model taking into account the flexibility and standby of hydrogen production from electric olefins. The present invention realizes the dynamic response of the system to power supply fluctuations and the flexible management of the status of hydrogen production equipment by constructing a comprehensive hydrogen generator cluster load scheduling model. By constructing a two-layer scheduling model method, it can dynamically respond to the fluctuation of wind power supply, improve the flexibility and stability of the system, and reduce the impact caused by wind power fluctuations; and improve the evaluation accuracy of the regulation demand of the lower scheduling model, by introducing the scenario method to model the uncertainty of wind power, and considering the flexibility and standby, so as to accurately evaluate the regulation power demand of the lower scheduling model, so that the system can more effectively respond to the real-time fluctuation of wind power, reduce the phenomenon of wind abandonment, and optimize the storage and release of energy. The present invention effectively solves the problem of insufficient real-time and flexibility of the traditional hydrogen generator cluster control method through the real-time scheduling strategy and the sending of adjustment instructions, and improves the overall efficiency and stability of the hydrogen generator cluster. The present invention realizes the optimized scheduling of the hydrogen generator cluster and the energy storage system through the coordinated control strategy. At the same time, it reduces the phenomenon of wind power abandonment and optimizes the storage and release of energy.

[0149] The above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for load scheduling of hydrogen generator clusters taking into account the flexibility and standby of hydrogen production by electric hydrogen, characterized in that: The following steps are involved: S100: constructing a state switching logic model of a single hydrogen generator, wherein the state switching logic model includes a shutdown state, a standby state, a production state, a startup action, and a shutdown action of the single hydrogen generator, and the state switching logic model includes a switching logic, wherein the switching logic includes switching the single hydrogen generator from any one of the shutdown state, the standby state, and the production state to any other state; S200: Based on the state switching logic model, a comprehensive hydrogen generator cluster load model is constructed according to the predicted wind power, the power load of a single hydrogen generator, and the hydrogen production loss; according to the comprehensive hydrogen generator cluster load model, the optimal state of each hydrogen generator is scheduled, so that the wind power hydrogen production system can dynamically respond to the fluctuation of wind power supply; S300: constructing a hydrogen generator cluster load model that takes into account the flexibility and standby of hydrogen production by electric hydrogenation based on the state switching logic model by performing relaxation processing on the comprehensive hydrogen generator cluster load model; S400: Based on the hydrogen generator cluster load model taking into account the flexible standby of hydrogen production by electric hydrogen, under the condition of wind power uncertainty, a double-layer hydrogen generator cluster optimization scheduling model including an upper scheduling model and a lower scheduling model is established for the hydrogen generator and the energy storage system; Among them, the upper-level scheduling model generates the start and stop instructions and load distribution plan of the hydrogen generator cluster according to the wind power; the lower-level scheduling model, based on the state switching logic model, adjusts the regulation instructions in real time according to the wind power predicted power deviation to coordinate the control of the hydrogen generator cluster and the energy storage system.

2. The scheduling method according to claim 1, characterized in that: In step S100, the shutdown state, standby state, production state, startup action and shutdown action of a single hydrogen generator are used as variables of 0 or 1.

3. The scheduling method according to claim 1, characterized in that: In the step S100, the switching logic further includes: In step S100, the switching logic includes: when a single hydrogen generator is switched from a standby state to a production state, the startup action is 0; when a single hydrogen generator is switched from a production state to a standby state, the shutdown action is 1.

4. The scheduling method according to claim 3, characterized in that: In the step S100, the switching logic further includes: When a single hydrogen generator is switched from standby mode to shutdown mode, shutdown mode acts as 1; When a single hydrogen generator switches from shutdown to standby, the startup action is 1; When a single hydrogen generator is switched from production state to shutdown state, shutdown state is set as 1; When a single hydrogen generator switches from shutdown state to production state, the startup action is 1.

5. The scheduling method according to claim 1, characterized in that: The comprehensive hydrogen generator cluster load model includes load range constraints, yield constraints and ramp constraints of the hydrogen generator cluster.

6. The scheduling method according to claim 1, characterized in that: In the step S300, the relaxation process is performed by linearizing the severely non-convex comprehensive hydrogen generator cluster load model to construct a hydrogen generator cluster load model that takes into account the flexibility and standby of hydrogen production from electric hydrogen.

7. The scheduling method according to claim 1, characterized in that: The upper-level scheduling model has an optimization control cycle with a resolution of 15 minutes.

8. The scheduling method according to claim 1, characterized in that: The upper-level scheduling model generates start-stop instructions and load distribution plans for the hydrogen generator cluster according to wind power, including: the upper-level scheduling model introduces a scenario method to model the uncertainty of wind power, and takes into account the flexible reserve of hydrogen production from hydrogen-based electricity, and generates start-stop instructions and load distribution plans for the hydrogen generator cluster according to wind power based on the upper-level objective function of the upper-level scheduling model.

9. The scheduling method according to claim 1, characterized in that: The upper-level scheduling model is established based on the hydrogen production upward flexibility reserve constraints, hydrogen production upward flexibility reserve constraints and hydrogen production ramping capability limitations of the hydrogen generator.

10. The scheduling method according to claim 1, characterized in that: The upper objective function of the upper scheduling model includes a function of wind power price, hydrogen generator start-up and shutdown cost, hydrogen price and non-negative penalty coefficient.

11. The scheduling method according to claim 1, characterized in that: The lower-level scheduling model has an optimized control period with a resolution of seconds.

12. The scheduling method according to claim 1, characterized in that: The lower-level scheduling model, based on the state switching logic model and according to the wind power predicted power deviation, adjusts the regulation instructions in real time to coordinate the control of the hydrogen generator cluster and the energy storage system, including: considering the state switching logic model and taking into account the flexible reserve of hydrogen production from hydrogen-based electricity, and according to the wind power predicted deviation, based on the lower-level objective function of the lower-level scheduling model, adjusts the power regulation instructions in real time to coordinate the control of the hydrogen generator cluster and the energy storage system.

13. The scheduling method according to claim 1, characterized in that: The lower objective function of the lower scheduling model includes a function of wind power prediction deviation, hydrogen production change, and penalty for deviation of the energy storage system from an initial state.

14. The scheduling method according to claim 1, characterized in that: The active power balance constraint of the lower scheduling model is related to the regulation power allocated to each hydrogen generator.

15. The scheduling method according to claim 1, characterized in that: The regulating power allocated to each hydrogen generator in the lower scheduling model is determined according to the status of the hydrogen generator set and the reference load optimized by the upper scheduling model.

16. A load cluster dispatching device taking into account the flexibility and standby of hydrogen production by electric olefins, characterized in that: The invention comprises a memory, a processor and a computer program, wherein the memory is connected to the processor: a memory configured to store the computer program; a processor configured to run the computer program; Wherein, when the computer program is executed by the processor, the method for load scheduling of a hydrogen generator cluster taking into account the flexible standby of hydrogen production by electric hydrogen is executed according to any one of claims 1-15.

17. A non-transitory computer-readable storage medium, characterized in that The non-temporary computer-readable storage medium is configured to store computer-readable instructions, wherein, when the computer-readable instructions are executed by a processor, a method for load scheduling of a hydrogen generator cluster taking into account flexible standby of hydrogen production from electric hydrogen is performed according to any one of claims 1-15.

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