Multi-stable-state control method and system for green electricity hydrogen production ammonia synthesis

Abstract

The invention relates to the technical field of green electricity hydrogen production synthesis ammonia, in particular to a multistable control method and system for green electricity hydrogen production synthesis ammonia, and the method comprises the steps: setting a plurality of steady state sub-modes according to historical operation parameters of a power supply unit, and constructing an operation regulation and control model; establishing a plurality of work cycles, and setting a primary control strategy of each work cycle according to the operation regulation and control model; setting a monitoring sub-strategy of each work period, and judging whether a correction instruction of each primary control strategy is generated or not according to the monitoring sub-strategy; the power supply unit is analyzed to generate various power operation intervals, and corresponding regulation and control sub-models are constructed according to different power operation intervals, so that the operation stability of the hydrogen production unit, the hydrogen storage unit and the synthesis unit and the operation stability and production efficiency of the green electricity hydrogen production synthesis ammonia system are ensured, and the overall operation risk is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of green electricity hydrogen synthesis ammonia, in particular to a multi-steady-state control method and system for green electricity hydrogen synthesis ammonia. BACKGROUND

[0002] Using renewable energy "green electricity" to electrolyze water to produce hydrogen, and further synthesizing green ammonia, is an important technical path to realize energy decarbonization and green hydrogen storage and transportation. However, this integrated system faces a core challenge: the upstream green electricity input has significant intermittency, volatility and randomness, resulting in frequent changes in the hydrogen production rate of the electrolysis hydrogen production device; and the downstream ammonia synthesis process, whose reaction section is traditionally designed for safety, stability and efficiency, is usually designed for continuous steady-state operation, with very high requirements for the stability of raw hydrogen pressure, purity and flow. This serious mismatch in the dynamic characteristics of the upstream and downstream makes it difficult for the entire system to operate stably and coordinately.

[0003] Existing control schemes are mostly aimed at single equipment or partial processes, lack a global coordination perspective from green electricity → electrolytic cell → buffer hydrogen storage → ammonia synthesis whole process, and are difficult to cope with wide power fluctuations. When green electricity power changes dramatically, the system is prone to large-scale disturbance, resulting in unstable operation, decreased production efficiency, fluctuating product gas quality, and even causing unplanned shutdown, which seriously restricts the economic efficiency and large-scale application of this technical route. SUMMARY

[0004] The purpose of the present application is to solve the above technical problems, and the present application provides a multi-steady-state control method and system for green electricity hydrogen synthesis ammonia, aiming to improve the stability and production efficiency of the green electricity hydrogen synthesis ammonia system, and reduce the overall operation risk.

[0005] In some embodiments of the present application, a plurality of power operation intervals are generated by analyzing the power supply unit, and corresponding regulation and control sub-models are constructed according to different power operation intervals, to ensure the stable operation of the hydrogen production unit, the hydrogen storage unit and the synthesis unit, the stability and production efficiency of the green electricity hydrogen synthesis ammonia system, and to reduce the overall operation risk.

[0006] In some embodiments of the present application, a plurality of working cycles are established to dynamically adapt to different power fluctuations, improve the green electricity consumption capacity, and correct the operation deviation of each region in time through periodic monitoring, to ensure the overall stability of the green electricity hydrogen synthesis ammonia system.

[0007] In some embodiments of the present application, a multi-steady-state control method for green electricity hydrogen synthesis ammonia is provided, comprising: setting a plurality of steady-state sub-modes according to the historical operation parameters of the power supply unit, and constructing an operation regulation and control model; establishing a plurality of working cycles, and setting a first control strategy for each working cycle according to the operation regulation and control model; Set monitoring sub-strategies for each work cycle, and determine whether to generate correction instructions for each primary control strategy based on the monitoring sub-strategies; The primary control strategy includes: Set the hydrogen production rate of the hydrogen production unit, the hydrogen storage capacity of the hydrogen storage unit, and the operating load of the synthesis unit.

[0008] In some embodiments of this application, the construction of the operation control model includes: Multiple power ranges are set based on the historical operating parameters of the power supply unit; Multiple steady-state sub-modes are set according to the entire power range, and a power range-steady-state sub-mode mapping table is set; Establish a steady-state sub-pattern sequence A, A=(a1,a2…a…) i …a n ), where a i Let n be the i-th steady-state sub-mode; n is the number of steady-state sub-modes. Based on the steady-state sub-mode sequence A, a is set sequentially. i The target is a steady-state sub-mode; Obtain the associated record package of the target steady-state sub-mode, and set the control sub-model of the target steady-state sub-mode according to the associated record package; The control sub-models for each steady-state sub-mode are set sequentially, and the operational control model is constructed based on all the control sub-models.

[0009] In some embodiments of this application, a control sub-model for the target steady-state sub-mode is defined, including: Generate a control sub-policy for the target steady-state sub-mode based on the associated record package; The control sub-strategy includes: the initial hydrogen production rate, initial hydrogen storage capacity, and initial operating load of the target steady-state sub-mode; Multiple power characteristic indicators are generated based on the associated record package; The fluctuation scenario of the target steady-state sub-mode is generated based on all power characteristic indicators; Define compensation sub-strategies for each fluctuation scenario; A regulation sub-model for the target steady-state sub-mode is established based on the control sub-strategy of the target steady-state sub-mode and the compensation sub-strategy for each fluctuation scenario.

[0010] In some embodiments of this application, a primary control strategy is set for each work cycle, including: The expected power curve for the current working cycle is generated based on the preset power prediction model; Generate a first-level expected power value based on the expected power curve; The first-level steady-state mode of the current working cycle is set according to the first-level expected power value and the power range-steady-state sub-mode mapping table; generating a fluctuation scene sequence B according to the primary steady mode; B=(b1, b2…b i …b m ), wherein b i is the i-th fluctuation scene in the primary steady mode; m is the number of fluctuation scenes in the primary steady mode; generating a characteristic parameter package of the current working period according to the expected power curve; sequentially setting b i as the target fluctuation scene according to the fluctuation scene sequence B; generating a fitting value of the target fluctuation scene in the current working period according to the characteristic parameter package; sequentially generating fitting values of each fluctuation scene and the current working period; setting a compensation sub-strategy of the fluctuation scene corresponding to the maximum value in all fitting values as a primary compensation strategy; generating a primary control strategy of the current working period according to the control sub-strategy of the primary steady mode and the primary compensation strategy.

[0011] In some embodiments of the present application, the monitoring sub-strategy of each working period includes: obtaining a target association record package of the primary steady mode; generating a historical risk value F1 of the hydrogen production unit, a historical risk value F2 of the hydrogen storage unit and a historical risk value F3 of the synthesis unit according to the target association record package; setting a primary weight strategy and a plurality of feedback time nodes according to the historical risk value F1, the historical risk value F2 and the historical risk value F3; constructing an evaluation sub-model of the current feedback time node according to the primary weight strategy; obtaining a monitoring data package of each feedback time node.

[0012] In some embodiments of the present application, whether to generate a correction instruction of each primary control strategy includes: obtaining a monitoring data package of the current feedback time node; generating a first deviation value H1 of the hydrogen production unit at the current feedback time node according to the monitoring data package; generating a second deviation value H2 of the hydrogen storage unit at the current feedback time node according to the monitoring data package; generating a third deviation value H3 of the synthesis unit at the current feedback time node according to the monitoring data package; generating a running deviation value c of the current feedback time node; presetting a first running deviation value threshold C1 and a running deviation value threshold C2, and C1 if c If C1 < c < C2, the current feedback time node generates a first-level correction instruction; If c > C2, the current feedback time node generates a first-level early warning instruction.

[0013] In some embodiments of the present application, a running deviation value c is generated, including: c = U1 * r * [ β i * Hi]; r = U2 * (v2-v 1) 2; Wherein, U1 is a preset first conversion coefficient; r is a deviation compensation coefficient; β i is the i-th weight coefficient set based on a first-level weight strategy; U2 is a preset second conversion coefficient; v1 is a first-level expected power value of a current working period; v2 is a real-time power value of a current feedback time node generated based on a monitoring data packet.

[0014] In some embodiments of the present application, a first deviation value H1 is generated, including: A monitoring sub-model of the hydrogen production unit is constructed; The first deviation value H1 is generated according to the monitoring sub-model and a monitoring data packet of the current feedback time node; H1 = U3 * g * (d1-d2) 2 ; g = U4 * [ η i *j i ]; Wherein, U3 is a preset third conversion coefficient; g is a deviation correction coefficient; d1 is an actual hydrogen production rate of the current feedback time node; d2 is an expected hydrogen production rate; U4 is a preset second conversion coefficient; θ1 is a number of monitoring indexes of the hydrogen production unit set based on the monitoring sub-model; η i is an influence factor of the i-th monitoring index of the hydrogen production unit; j i is a deviation value of the i-th monitoring index of the hydrogen production unit at the current feedback time node.

[0015] In some embodiments of the present application, a multi-stable control system for green electricity hydrogen production and ammonia synthesis is provided, including: A regulation unit is configured to set a plurality of stable sub-modes according to historical running parameters of a power supply unit, and construct a running regulation model; A central control unit is configured to establish a plurality of working periods, and set a first-level control strategy for each working period according to the running regulation model; A monitoring unit is configured to set a monitoring sub-strategy for each working period, and determine whether to generate a correction instruction for each first-level control strategy according to the monitoring sub-strategy; wherein, the primary control strategy comprises: setting the hydrogen production rate of the hydrogen production unit, setting the hydrogen storage amount of the hydrogen storage unit and setting the operation load of the synthesis unit.

[0016] In some embodiments of the present application, the regulation unit comprises: The first regulation module sets a plurality of power intervals according to historical operation parameters of the power supply unit; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; i …a n ), wherein a i is the i-th steady-state sub-mode; n is the number of steady-state sub-modes; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; i is the target steady-state sub-mode; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The control sub-strategy comprises: the initial hydrogen production rate, the initial hydrogen storage amount and the initial operation load of the target steady-state sub-mode; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table; The second regulation module sets a plurality of steady-state sub-modes according to all power intervals, and sets a power interval-steady-state sub-mode mapping table.

[0017] Compared with the prior art, the green electricity hydrogen synthesis ammonia multi-steady-state control method and system of the embodiments of the present application have the following beneficial effects: By analyzing the power supply unit to generate a plurality of power operation intervals, and constructing corresponding regulation sub-models according to different power operation intervals, the operation stability of the hydrogen production unit, the hydrogen storage unit and the synthesis unit is ensured, the stability and production efficiency of the green electricity hydrogen synthesis ammonia system are improved, and the overall operation risk is reduced.

[0018] By establishing multiple working cycles, dynamically adapting to different power fluctuations, improving green electricity consumption capacity, and timely correcting the operation deviation of each region through periodic monitoring, the overall stability of the green electricity hydrogen synthesis ammonia system is ensured, and the operation and maintenance cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 is a flowchart of a multi-stable state control method for green electricity hydrogen synthesis ammonia in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0020] The specific embodiments of the present application will be further described in detail below in conjunction with the drawings and examples. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0021] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application.

[0022] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, the meaning of "multiple" is two or more.

[0023] In the description of the present application, it should be noted that unless otherwise specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or the communication between the two elements inside. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0024] As shown in Figure 1 A multi-stable state control method for green electricity hydrogen synthesis ammonia in a preferred embodiment of the present application includes: S101: setting multiple stable state sub-modes according to the historical operation parameters of the power supply unit, and constructing an operation control model; S102: establishing multiple working cycles, setting a first control strategy for each working cycle according to the operation control model; S103: Set the monitoring sub-strategy of each working period, and determine whether to generate the correction instruction of each primary control strategy according to the monitoring sub-strategy; The primary control strategy comprises: The hydrogen production rate of the hydrogen production unit is set, the hydrogen storage amount of the hydrogen storage unit is set, and the operation load of the synthesis unit is set.

[0025] Specifically, the power supply unit is a green power device (a wind power device or a photovoltaic device).

[0026] Specifically, the hydrogen production unit is used to generate hydrogen, and the inside is an electrolyzer group. By adjusting the opening amount and operation power of the electrolyzer, the hydrogen production speed is dynamically adjusted.

[0027] Specifically, the hydrogen storage unit is preferably a hydrogen storage tank, and the rated storage capacity can be set according to the operation demand. The hydrogen storage amount in the primary control strategy refers to the optimal hydrogen storage amount in the corresponding working period.

[0028] Specifically, the synthesis unit is used to synthesize ammonia, and by dynamically adjusting the real-time operation load of the synthesis unit, the adjustment and consumption capacity of the green power fluctuation is improved.

[0029] Specifically, the operation regulation model is constructed, comprising: According to the historical operation parameters of the power supply unit, a plurality of power intervals are set; According to all the power intervals, a plurality of steady-state sub-modes are set, and a power interval-steady-state sub-mode mapping table is set; A steady-state sub-mode sequence A is established, A=(a1, a2…a i …a n ), wherein a i is the i-th steady-state sub-mode; n is the number of steady-state sub-modes; According to the steady-state sub-mode sequence A, a i is set as the target steady-state sub-mode; The associated record package of the target steady-state sub-mode is obtained, and the regulation sub-model of the target steady-state sub-mode is set according to the associated record package; The regulation sub-models of each steady-state sub-mode are set in sequence, and the operation regulation model is constructed according to all the regulation sub-models.

[0030] Specifically, by dividing the rated power interval of the power supply unit, a plurality of power intervals are set, and by screening the historical operation parameters, the associated record package corresponding to each power interval is generated.

[0031] Specifically, the steady-state sub-modes corresponding to each power interval are set in sequence, and the steady-state required to be maintained by the hydrogen production unit, the hydrogen storage unit and the synthesis unit under each steady-state sub-mode is not exactly the same.

[0032] Specifically, the relevant operation parameters of the entire green electricity hydrogen synthesis ammonia system when the power supply unit is running in the corresponding power interval are included in the association record package, including but not limited to, the fluctuation probability of the power supply unit in the power interval, the average hydrogen production rate of the hydrogen production unit in the power interval, the average load of the synthesis unit, the average hydrogen storage amount of the hydrogen storage unit, the fault parameters of each device, and the operation fluctuation and other parameters.

[0033] Specifically, the control sub-strategy of the target steady-state sub-mode is generated according to the association record package. According to the association record package, the control sub-strategy of the target steady-state sub-mode is generated. The control sub-strategy includes: the initial hydrogen production rate, the initial hydrogen storage amount and the initial operation load of the target steady-state sub-mode. According to the association record package, a plurality of power characteristic indexes are generated. According to all the power characteristic indexes, a fluctuation scenario of the target steady-state sub-mode is generated. A compensation sub-strategy of each fluctuation scenario is set. According to the control sub-strategy of the target steady-state sub-mode and the compensation sub-strategy of each fluctuation scenario, a control sub-model of the target steady-state sub-mode is established.

[0034] Specifically, by analyzing the related parameters in the association record package, the control sub-strategy corresponding to the target steady-state sub-mode is generated. The initial hydrogen production rate in the control sub-strategy is the optimal hydrogen production rate in the power interval corresponding to the target steady-state sub-mode, and the initial hydrogen storage amount and the initial operation load are the same. Through dynamic adjustment of the hydrogen production unit, the hydrogen storage unit and the synthesis unit, the green electricity hydrogen synthesis ammonia system can be in a dynamic stable state in the target steady-state sub-mode, and the overall consumption capacity of green electricity can be improved.

[0035] Specifically, by setting the control sub-strategy, the green electricity hydrogen synthesis ammonia system is in a dynamic stable state.

[0036] Specifically, the power characteristic indexes include but are not limited to power fluctuation variance, power difference (the difference between the average power of the current working period and the average power of the next working period), power maximum difference (i.e. the difference between the expected maximum power and the expected minimum power in the current working period) and other parameters that can affect the overall working parameter control decision of the green electricity hydrogen synthesis ammonia system in a single working period. Through normalization processing of each power characteristic index, each power characteristic index is within a preset value range. By establishing a plurality of value intervals of each power characteristic index and randomly combining the value intervals, a plurality of fluctuation scenarios are constructed.

[0037] Specifically, by analyzing the corresponding correlation record parameters of each fluctuation scenario, the corresponding compensation sub-strategy is set. The compensation sub-strategy includes the correction coefficient of each operating parameter (hydrogen production rate, hydrogen storage capacity, and operating load, etc.). By setting the compensation sub-strategy, the power fluctuation absorption capacity of the power supply unit is further improved, and at the same time, the switching efficiency and switching smoothness of the operating parameters between each working cycle are improved, ensuring the stable operation of the system.

[0038] It can be understood that in the above embodiment, by analyzing the power supply unit to generate multiple power operation intervals, and constructing the corresponding control sub-model according to different power operation intervals, the operation stability of the hydrogen production unit, the hydrogen storage unit and the synthesis unit is ensured, the stability and production efficiency of the green electricity hydrogen synthesis ammonia system operation are improved, and the overall operation risk is reduced.

[0039] In the preferred embodiment of the present application, the first-level control strategy of each working cycle is set, including: generating an expected power curve of the current working cycle according to the preset power prediction model; generating a first expected power value according to the expected power curve; setting a first steady-state mode of the current working cycle according to the first expected power value and the power interval-steady-state sub-mode mapping table; generating a fluctuation scenario sequence B according to the first steady-state mode; B=(b1, b2…b i …b m ), wherein b i is the i-th fluctuation scenario in the first steady-state mode; m is the number of fluctuation scenarios of the first steady-state mode; generating a feature parameter package of the current working cycle according to the expected power curve; setting b i as the target fluctuation scenario according to the fluctuation scenario sequence B; generating a fitting value of the target fluctuation scenario in the current working cycle according to the feature parameter package; generating the fitting value of each fluctuation scenario and the current working cycle in turn; setting the compensation sub-strategy of the fluctuation scenario corresponding to the maximum value in all fitting values as the first compensation strategy; generating a first-level control strategy of the current working cycle according to the control sub-strategy and the first compensation strategy of the first steady-state mode.

[0040] Specifically, the expected power curve is processed to generate an expected average power value of the current working cycle, and the expected average power value is set as the first expected power. It is judged that the first expected power value is in which power interval, and the corresponding steady-state sub-mode is set as the first steady-state mode.

[0041] Specifically, by analyzing the expected power curve, real-time reference values of each power characteristic index are generated, by comparing each power characteristic index in the target fluctuation scenario with the reference value, a difference value of the corresponding reference value of each power characteristic index is generated, according to the influence degree of each power characteristic index, a corresponding weight factor is set, all difference values are weighted, a total difference value is generated, and according to the total difference value, a corresponding fitting value is generated, the greater the total difference value, the smaller the corresponding fitting value, and the mapping relationship between the two can be set according to historical parameters.

[0042] Specifically, the greater the fitting value, the more similar the expected running state of the corresponding steady-state sub-mode root power supply unit in the current working period.

[0043] In the preferred embodiment of the present application, the monitoring sub-strategy of each working period is set, including: Obtain the target association record package of the primary steady-state mode; According to the target association record package, generate the historical risk value F1 of the hydrogen production unit, the historical risk value F2 of the hydrogen storage unit and the historical risk value F3 of the synthesis unit; According to the historical risk value F1, the historical risk value F2 and the historical risk value F3, set a primary weight strategy and a plurality of feedback time nodes; According to the primary weight strategy, construct an evaluation sub-model of the current feedback time node; Obtain the monitoring data package of each feedback time node.

[0044] Specifically, by analyzing the corresponding association record package of the primary steady-state mode, the historical risk value F1 is according to the number of running faults of the hydrogen production unit in the primary steady-state mode and the deviation time length of not being in the preset running state (i.e. the preset hydrogen storage amount, the preset hydrogen production speed and the preset running load), the greater the fault number, the greater the corresponding historical risk value F1, and the greater the deviation time length, the greater the corresponding historical risk value F1. The setting logic of historical risk value F2 and historical risk value F3 is the same.

[0045] Specifically, the value range of historical risk value F1, historical risk value F2 and historical risk value F3 is the same.

[0046] Specifically, according to the ratio of the sum value F' of historical risk value F1, F2 and F3 to historical risk value F1, the weighting value of the hydrogen production unit is set, the weighting value is (F1 / F'), and the weighting value of the hydrogen storage unit and the synthesis unit is set in the same way, and the primary weight strategy is generated according to all weighting values.

[0047] Specifically, according to the sum value F', the time interval between the adjacent two feedback time nodes is set, the greater the sum value F', the smaller the corresponding time interval.

[0048] Specifically, the monitoring sub-models in the evaluation sub-models include respective units and the weighting values of the corresponding deviation values.

[0049] Specifically, the monitoring sub-models include parameters required to be monitored by the device, for example, the monitoring indicators in the monitoring sub-model of the hydrogen production unit include but are not limited to operating temperature, whether the operating rate of the electrolytic cell is in a preset state, and other parameters indicating potential failure of the reaction hydrogen production unit, and the corresponding influence factors are set according to the correlation degree between the respective operating indicators and the potential failure. The monitoring sub-models of the hydrogen storage unit and the synthesis unit are constructed in the same way.

[0050] In the preferred embodiment of the present application, the determination of whether to generate the correction instruction of each primary control strategy includes: obtaining a monitoring data packet at a current feedback time node; generating a first deviation value H1 of the hydrogen production unit at the current feedback time node according to the monitoring data packet; generating a second deviation value H2 of the hydrogen storage unit at the current feedback time node according to the monitoring data packet; generating a third deviation value H3 of the synthesis unit at the current feedback time node according to the monitoring data packet; generating an operating deviation value c at the current feedback time node; presetting a first operating deviation value threshold C1 and an operating deviation value threshold C2, and C1 < C2; if c < C1, no correction instruction is generated at the current feedback time node; if C1 < c < C2, a primary correction instruction is generated at the current feedback time node; if c > C2, a primary warning instruction is generated at the current feedback time node.

[0051] Specifically, the primary correction instruction means that the current green electricity hydrogen synthesis ammonia system has operating fluctuations, and the operating parameters of each sub-unit need to be adjusted in a timely manner to make the green electricity hydrogen synthesis ammonia system return to dynamic balance, thereby avoiding the interference caused by power fluctuations.

[0052] Specifically, the primary warning instruction means that the current green electricity hydrogen synthesis ammonia system has operating risks and needs to be repaired in a timely manner.

[0053] Specifically, the first operating deviation value threshold C1 and the second operating deviation value threshold C2 can be set according to historical parameters.

[0054] Specifically, the larger the operating deviation value, the more unstable the current green electricity hydrogen synthesis ammonia system is.

[0055] Specifically, the operating deviation value c is generated by: c = U1 * r * [ β i*Hi]; r=U2*(v2-v 1) 2; wherein, U1 is a preset first conversion coefficient; r is a deviation compensation coefficient; β i is the i-th weight coefficient set based on a first weight strategy; U2 is a preset second conversion coefficient; v1 is a first expected power value of a current working period; v2 is a real-time power value of a current feedback time node generated based on a monitoring data packet.

[0056] Specifically, the running deviation value c is within a preset value range by the preset first conversion coefficient. And the greater the value of r*[ β i , the greater the corresponding running deviation value, and the mapping relationship between the two can be adjusted by the first conversion coefficient.

[0057] Specifically, the deviation compensation coefficient r is within a preset value range by the preset second conversion coefficient, and the greater (v2-v1) 2 , the greater the corresponding deviation compensation coefficient r, and the deviation compensation coefficient r is always greater than 1, and the mapping relationship between the two can be set according to historical parameters.

[0058] Specifically, the real-time power value refers to the average value corresponding to the real-time power curve of the current feedback time node and the last feedback time node.

[0059] Specifically, the first deviation value H1 is generated, including: constructing a monitoring sub-model of the hydrogen production unit; generating the first deviation value H1 according to the monitoring sub-model and the monitoring data packet of the current feedback time node; H1=U3*g*(d1-d2) 2 ; g=U4*[ η i *j i ]; wherein, U3 is a preset third conversion coefficient; g is a deviation correction coefficient; d1 is an actual hydrogen production rate of the current feedback time node; d2 is an expected hydrogen production rate; U4 is a preset second conversion coefficient; θ1 is a number of monitoring indexes of the hydrogen production unit set based on the monitoring sub-model; η i is an influence factor of the i-th monitoring index of the hydrogen production unit; j i is a deviation value of the i-th monitoring index of the hydrogen production unit at the current feedback time node.

[0060] Specifically, the first deviation value H1 is within a preset value range by the preset third conversion coefficient.

[0061] Specifically, by presetting a fourth conversion coefficient, the deviation correction coefficient g is made to be within a preset value range, and [ η i *j i The larger the value, the larger the corresponding deviation correction coefficient g. The mapping relationship between the two can be set according to historical parameters, and the deviation correction coefficient g is always greater than 1.

[0062] Specifically, the expected hydrogen production rate is the hydrogen production rate in the primary control strategy corresponding to the current working cycle, while the actual hydrogen production rate is the average hydrogen production rate between the current feedback time node and the previous feedback time node.

[0063] Specifically, the generation logic for the second deviation value H2 and the third deviation value H3 is the same as above.

[0064] It is understandable that in the above embodiments, by establishing multiple working cycles, the system can dynamically adapt to different power fluctuations, improve the green electricity absorption capacity, and by periodically monitoring and correcting the operational deviations of each region in a timely manner, the overall stability of the green electricity hydrogen production and ammonia synthesis system can be guaranteed.

[0065] In another preferred embodiment of the multi-stable-state control method for green electricity-to-hydrogen-to-ammonia synthesis based on any of the above preferred embodiments, this preferred embodiment provides a multi-stable-state control system for green electricity-to-hydrogen-to-ammonia synthesis, comprising: The control unit is used to set multiple steady-state sub-modes based on the historical operating parameters of the power supply unit and to construct an operation control model; The central control unit is used to establish multiple working cycles and set the primary control strategy for each working cycle according to the operation and control model. The monitoring unit is used to set monitoring sub-strategies for each working cycle and to determine whether to generate correction instructions for each primary control strategy based on the monitoring sub-strategies. The primary control strategy includes: Set the hydrogen production rate of the hydrogen production unit, the hydrogen storage capacity of the hydrogen storage unit, and the operating load of the synthesis unit.

[0066] Specifically, the control unit includes: The first control module sets multiple power ranges based on the historical operating parameters of the power supply unit; Multiple steady-state sub-modes are set according to the entire power range, and a power range-steady-state sub-mode mapping table is set; The second control module is used to establish a steady-state sub-mode sequence A, A=(a1,a2…a…). i …a n ), where a i Let n be the i-th steady-state sub-mode; n is the number of steady-state sub-modes. According to the steady-state sub-mode sequence A, a is set in turn i The target steady-state sub-mode is set as a The associated record package of the target steady-state sub-mode is obtained, and the control sub-model of the target steady-state sub-mode is set according to the associated record package The control sub-models of each steady-state sub-mode are set in turn, and the operation control model is constructed according to all the control sub-models The control sub-model of the target steady-state sub-mode includes: The control sub-strategy of the target steady-state sub-mode is generated according to the associated record package The control sub-strategy includes: the initial hydrogen production rate, the initial hydrogen storage amount and the initial operation load of the target steady-state sub-mode A plurality of power characteristic indexes are generated according to the associated record package The fluctuation scene of the target steady-state sub-mode is generated according to all the power characteristic indexes The compensation sub-strategy of each fluctuation scene is set The control sub-model of the target steady-state sub-mode is established according to the control sub-strategy of the target steady-state sub-mode and the compensation sub-strategy of each fluctuation scene

[0067] According to the first concept of the present application, a plurality of power operation intervals are generated by analyzing the power supply unit, and corresponding control sub-models are constructed according to different power operation intervals, so as to ensure the stable operation of the hydrogen production unit, the hydrogen storage unit and the synthesis unit, the stability and production efficiency of the green electricity hydrogen synthesis ammonia system, and reduce the overall operation risk.

[0068] According to the second concept of the present application, a plurality of working cycles are established to dynamically adapt to different power fluctuations, improve the green electricity consumption capacity, and correct the operation deviation of each region in time through periodic monitoring, so as to ensure the overall stability of the green electricity hydrogen synthesis ammonia system.

[0069] The above is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, some improvements and replacements can be made without departing from the technical principles of the present application, and these improvements and replacements should also be regarded as the protection scope of the present application.

Claims

1. A method for multi-stable control of green electricity to hydrogen to ammonia synthesis, characterized by, include: Multiple steady-state sub-modes are set based on the historical operating parameters of the power supply unit, and an operation control model is constructed. Establish multiple work cycles and set the primary control strategy for each work cycle based on the operation and control model; Set monitoring sub-strategies for each work cycle, and determine whether to generate correction instructions for each primary control strategy based on the monitoring sub-strategies; The primary control strategy includes: Set the hydrogen production rate of the hydrogen production unit, the hydrogen storage capacity of the hydrogen storage unit, and the operating load of the synthesis unit.

2. The method of claim 1, wherein the method is characterized by: Construct an operational control model, including: Multiple power ranges are set based on the historical operating parameters of the power supply unit; Multiple steady-state sub-modes are set according to the entire power range, and a power range-steady-state sub-mode mapping table is set; A steady-state sub-mode number sequence A, A=(a1, a2…a i …a n ), wherein a i is the i-th steady-state sub-mode; n is the number of steady-state sub-modes According to the steady-state sub-mode sequence A, a is set in turn i Target steady-state sub-mode; Obtain the associated record package of the target steady-state sub-mode, and set the control sub-model of the target steady-state sub-mode according to the associated record package; The control sub-models for each steady-state sub-mode are set sequentially, and the operational control model is constructed based on all the control sub-models.

3. The method of claim 2, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, The regulation sub-model for setting the target steady-state sub-mode includes: Generate a control sub-policy for the target steady-state sub-mode based on the associated record package; The control sub-strategy includes: the initial hydrogen production rate, initial hydrogen storage capacity, and initial operating load of the target steady-state sub-mode; Multiple power characteristic indicators are generated based on the associated record package; The fluctuation scenario of the target steady-state sub-mode is generated based on all power characteristic indicators; Define compensation sub-strategies for each fluctuation scenario; A regulation sub-model for the target steady-state sub-mode is established based on the control sub-strategy of the target steady-state sub-mode and the compensation sub-strategy for each fluctuation scenario.

4. The method of claim 3, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, Define the primary control strategy for each work cycle, including: The expected power curve for the current working cycle is generated based on the preset power prediction model; Generate a first-level expected power value based on the expected power curve; The first-level steady-state mode of the current working cycle is set according to the first-level expected power value and the power range-steady-state sub-mode mapping table; Generate a sequence B of fluctuation scenarios based on the first-level steady-state model; B = (b1, b2, ..., bb) i …b m ), where b i represents the i-th fluctuation scenario in the first-level steady-state mode; m represents the number of fluctuation scenarios in the first-level steady-state mode. Generate the characteristic parameter package for the current duty cycle based on the expected power curve; According to the fluctuation scenario sequence B, b is set in turn i Target fluctuation scenario; Generate the fit value of the target fluctuation scenario in the current working cycle based on the feature parameter package; Generate matching values ​​between each fluctuation scenario and the current work cycle in sequence; The compensation sub-strategy corresponding to the fluctuation scenario with the maximum value among all matching values ​​is set as the first-level compensation strategy; The first-level control strategy for the current working cycle is generated based on the control sub-strategy of the first-level steady-state mode and the first-level compensation strategy.

5. The method of claim 4, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, Configure monitoring sub-strategies for each work cycle, including: Obtain the target associated record package of the first-level steady-state mode; Based on the target-related record package, generate the historical risk values ​​F1 for the hydrogen production unit, F2 for the hydrogen storage unit, and F3 for the synthesis unit; A primary weighting strategy and multiple feedback time points are set based on historical risk values ​​F1, F2, and F3; Construct an evaluation sub-model for the current feedback time point based on the primary weighting strategy; Obtain monitoring data packets for each feedback time point.

6. The method of claim 5, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, Determine whether to generate correction instructions for each primary control strategy, including; Obtain the monitoring data packet for the current feedback time point; The first deviation value H1 of the hydrogen production unit at the current feedback time point is generated based on the monitoring data packet. The second deviation value H2 of the hydrogen storage unit at the current feedback time node is generated according to the monitoring data packet; The third deviation value H3 of the synthesis unit at the current feedback time node is generated according to the monitoring data packet; An operation deviation value c of the current feedback time node is generated; A first operation deviation value threshold C1 and an operation deviation value threshold C2 are preset, and C1 < C2; If c < C1, no correction instruction is generated at the current feedback time node; If C1 < c < C2, a first-level correction instruction is generated at the current feedback time node; If c > C2, a first-level early warning instruction is generated at the current feedback time node.

7. The method of claim 6, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, The operation deviation value c is generated, including: c=U1*r*[ β i *Hi]; r = U2*(v2-v 1) 2; Wherein, U1 is a preset first conversion coefficient; r is a deviation compensation coefficient; β i is the i-th weight coefficient set based on the first weight strategy; U2 is a preset second conversion coefficient; v1 is a first expected power value of a current working period; v2 is a real-time power value of a current feedback time node generated based on a monitoring data packet.

8. The method of claim 6, wherein the method is a multi-stable control method for green electricity hydrogen synthesis ammonia, characterized in that, The first deviation value H1 is generated, including: A monitoring sub-model of the hydrogen production unit is constructed; The first deviation value H1 is generated according to the monitoring sub-model and the monitoring data packet of the current feedback time node; H1 = U3 * g * (d1 - d2) 2 ; g = U4* [ 1 - exp(-U4) ] + U4* exp(-U4) η i *j i ]; Wherein, U3 is a preset third conversion coefficient; g is a deviation correction coefficient; d1 is an actual hydrogen production rate of a current feedback time node; d2 is an expected hydrogen production rate; U4 is a preset second conversion coefficient; θ1 is a number of monitoring indicators of the hydrogen production unit based on the monitoring sub-model; η i is an influence factor of the i th monitoring indicator of the hydrogen production unit; j i is a deviation value of the i th monitoring indicator of the hydrogen production unit at the current feedback time node.

9. A multi-stable control system for green electricity hydrogen synthesis ammonia, adopting the multi-stable control method for green electricity hydrogen synthesis ammonia according to any one of claims 1-8, characterized in that, including: The control unit is configured to set multiple steady-state sub-modes according to historical operation parameters of the power supply unit, and construct an operation control model; The central control unit is configured to establish multiple working cycles, and set a first-level control strategy for each working cycle according to the operation control model; The monitoring unit is configured to set a monitoring sub-strategy for each working cycle, and determine whether to generate a correction instruction for each first-level control strategy according to the monitoring sub-strategy; The first-level control strategy includes: The hydrogen production rate of the hydrogen production unit is set, the hydrogen storage amount of the hydrogen storage unit is set, and the operation load of the synthesis unit is set.

10. The multi-stable control system for green electricity based hydrogen synthesis of ammonia as claimed in claim 9 wherein, The control unit includes: The first control module is configured to set multiple power intervals according to historical operation parameters of the power supply unit; Multiple steady-state sub-modes are set according to all power intervals, and a power interval-steady-state sub-mode mapping table is set; A, A=(a1, a2…a i …a n ), wherein a i is the i-th steady-state sub-mode; n is the number of steady-state sub-modes According to the steady-state sub-mode sequence A, a is set in turn i Target steady-state sub-mode; An associated record packet of the target steady-state sub-mode is obtained, and a control sub-model of the target steady-state sub-mode is set according to the associated record packet; The control sub-models of the steady-state sub-modes are set in sequence, and an operation control model is constructed according to all control sub-models; The control sub-model of the target steady-state sub-mode includes: A control sub-strategy of the target steady-state sub-mode is generated according to the associated record packet; The control sub-strategy includes: the initial hydrogen production rate, the initial hydrogen storage amount, and the initial operation load of the target steady-state sub-mode; Multiple power characteristic indexes are generated according to the associated record packet; A fluctuation scenario of the target steady-state sub-mode is generated according to all power characteristic indexes; A compensation sub-strategy of each fluctuation scenario is set; The control sub-model of the target steady-state sub-mode is established according to the control sub-strategy of the target steady-state sub-mode and the compensation sub-strategy of each fluctuation scenario.

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