Control method and control device of wind power hydrogen production system

Abstract

The invention provides a control method and a control device for a wind power hydrogen production system. The method comprises the following steps: establishing a starting time characteristic and starting power characteristic model for a hydrogen production electrolytic tank to achieve stable hydrogen production under different environment temperature and circulating alkali liquor temperature combinations; establishing an operation control model of a set component in the wind power hydrogen production system; according to the current environment temperature and the state of the hydrogen production electrolytic cell, operation constraint conditions of a set component at at least one prediction moment in the prediction period are established; according to the starting time characteristic and starting power characteristic model, the operation control model and the operation constraint condition, a hydrogen production income model of the wind power hydrogen production system is established; and according to the hydrogen production income model, an instruction corresponding to the to-be-controlled component under the maximum hydrogen production income value at the prediction moment is solved, and according to the instruction corresponding to the prediction moment, the to-be-controlled component is controlled to operate. According to the control method provided by the invention, the control instruction of each component is obtained according to the operation control model and the constraint condition of each component of the system, and the scheduling accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field related to new energy, and in particular to a control method and a control device for a wind power hydrogen production system. Background Art

[0002] In the existing wind power hydrogen production system, the internal temperature of the alkaline hydrogen production electrolyzer has a significant impact on its performance during operation. Too high or too low temperature in the tank may cause the electrolyzer to be unable to produce hydrogen stably and safely.

[0003] Therefore, when the dispatching system sends control instructions to the electrolyzer, the electrolyzer may not be able to respond immediately, resulting in the wind power hydrogen production system being unable to complete the expected dispatch and poor dispatching accuracy. Summary of the invention

[0004] The control method and control device of the wind power hydrogen production system provided by the present invention realize dynamic determination of control instructions of components in the wind power hydrogen production system according to the current temperature and the operation control models and constraints of each component of the system, thereby improving the scheduling accuracy.

[0005] According to a first aspect of the present invention, a control method for a wind power hydrogen production system is provided, the control method comprising:

[0006] Establish the startup time and power characteristics model of hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations;

[0007] Establishing an operation control model of the setting components in the wind power hydrogen production system; wherein the setting components include: the hydrogen production electrolyzer, the battery, the hydrogen compressor and the hydrogen storage tank;

[0008] According to the current ambient temperature and the state of the hydrogen production electrolyzer, establishing the operation constraint condition of the setting component at at least one prediction time within the prediction period;

[0009] Establishing a hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition;

[0010] The instructions corresponding to the components to be controlled at the maximum value of the hydrogen production revenue at the predicted moment are solved according to the hydrogen production revenue model, and the operation of the components to be controlled according to the instructions corresponding to the predicted moment; wherein the components to be controlled include: a hydrogen production electrolyzer, the battery and the hydrogen compressor.

[0011] Optionally, the establishment of a startup time characteristic and startup power characteristic model for a hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperatures and circulating alkali solution temperature combinations includes:

[0012] The start-up time characteristic expression includes: st,i (k) = f st,i (k,T a ,T e,i );

[0013] The starting power characteristic model expression includes: st,i (k) = f t,i (k,T a ,T e,i );

[0014] Among them, T a is the ambient temperature of the electrolytic cell at time k, T e,i is the circulating alkali solution temperature of the ith electrolytic cell at time k, t st,i is the temperature combination (T a ,T e,i ) from the time k to the time when the electrolyzer can produce hydrogen stably, P st,i is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution.

[0015] Optionally, the step of establishing an operation control model of a set component in the wind power hydrogen production system includes:

[0016] Establish the operation control model of the hydrogen production electrolyzer in the wind power hydrogen production system, including:

[0017]

[0018] in, is the hydrogen production rate of the i-th electrolyzer at time k; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; a 2,i 、a 1,i and a 0,i is the power-hydrogen production rate curve fitting parameter of the ith electrolyzer; x eh,i is whether the i-th electrolyzer is operating in the thermal engine operation state;

[0019] The operation control model of the battery in the wind power hydrogen production system includes:

[0020]

[0021] E b (k+1)=E b (k)-P b (k) △t;

[0022] Among them, B b(k) is the power consumption of the battery at time k; R b is the internal resistance of the battery cell; s b is the number of battery cells; V b is the open circuit voltage of the battery cell; P b (k) is the total power of the battery at time k; E b (k+1) is the remaining battery power at time k+1; E b (k) is the remaining battery power at time k; △t is the predicted time interval for the status of each component;

[0023] The operation control model of the hydrogen storage tank in the wind power hydrogen production system includes:

[0024]

[0025] Among them, E t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle; E t (k+1) is the total amount of hydrogen stored in the hydrogen storage tank at time k+1 in the prediction cycle; is the hydrogen production rate of the i-th electrolyzer at time k; E hd (k) is the amount of hydrogen required by the wind power hydrogen production system at time k in the forecast period;

[0026] The operation control model of the hydrogen compressor in the wind power hydrogen production system includes:

[0027]

[0028] Among them, P c (k) compressor power at time k; α c Compressor hydrogen flow-power coefficient; is the hydrogen production rate of the i-th electrolyzer at time k.

[0029] Optionally, the establishing of the operating constraint conditions of the setting component according to the current ambient temperature and the state of the hydrogen production point solution tank includes:

[0030] Based on the current temperature and state of the electrolytic cell, establish the operating constraints of the electrolytic cell at the prediction time;

[0031] Establish the constraints of battery operation at the prediction time;

[0032] Establish state constraints for the hydrogen storage tank.

[0033] Optional,

[0034] The operating constraints of the electrolyzer include:

[0035]

[0036] P st,i (k) = f t,i (T a ,T e,i );

[0037]

[0038] in, is the minimum power lower limit of the ith electrolytic cell at the kth moment; is the minimum power constraint of the ith electrolytic cell under the thermal engine state; P st,i (k) is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution; T a is the ambient temperature of the electrolytic cell at time k, T e,i is the circulating alkali solution temperature of the ith electrolytic cell at time k; is the minimum power upper limit of the ith electrolyzer at the kth moment; is the maximum power constraint of the i-th electrolyzer under the thermal engine state; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec , i = 0, the i-th electrolytic cell is not working in the cold state; x ew,i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i = 0, it means that the i-th electrolytic cell is not working in the thermal engine state; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k;

[0039] The constraints on battery operation include:

[0040]

[0041] in, is the lower limit of the battery’s operating power; P is the upper limit of the battery’s operating power; b (k) is the total power of the battery at time k; is the lower limit of the battery’s storage capacity, E is the upper limit of the battery's storage capacity; b (k) is the remaining battery power at time k;

[0042] The state constraints of the hydrogen storage tank include:

[0043]

[0044] in, is the lower limit of hydrogen storage in the hydrogen storage tank; E is the upper limit of hydrogen storage capacity of the hydrogen storage tank; t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle.

[0045] Optionally, before establishing the hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition, the method further includes:

[0046] Obtain the predicted maximum power of the wind turbine at at least one prediction moment in the prediction period;

[0047] The establishing of the hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition comprises:

[0048] Determine a hydrogen production revenue expression of the wind power hydrogen production system at at least one prediction moment in the prediction period;

[0049] Determine the hydrogen production revenue constraint condition corresponding to the hydrogen production revenue expression according to the predicted maximum power of the wind turbine, the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition;

[0050] The hydrogen production revenue expression and the corresponding hydrogen production revenue constraint conditions are determined as the hydrogen production revenue model.

[0051] Optionally, obtaining the predicted maximum power of the wind turbine at at least one prediction moment in the prediction period includes:

[0052] Obtain the maximum active power generation history curve of each wind turbine over a period of time;

[0053] The maximum active power of each wind turbine at each prediction moment is predicted according to the maximum active power generation history curve.

[0054] Optionally, a hydrogen production revenue model of the wind power hydrogen production system is established according to the operation control model and the operation constraint conditions, including:

[0055] The hydrogen production revenue expression of the wind power hydrogen production system is:

[0056]

[0057] Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; αe is the electricity selling price; h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k;

[0058] The hydrogen production revenue constraint condition includes the predicted maximum power of the wind turbine, the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition;

[0059] The hydrogen production revenue constraint conditions also include:

[0060]

[0061] x ec,i +x ew,i +x eh,i =1;x ec,i ∈{0,1};x ew,i ∈{0,1};x eh,i ∈{0,1};

[0062] t st,i (k) = f st,i (k,T a ,T e,i )

[0063]

[0064] δ st,i (k) = x ec,i (k-1)-x ec,i (k);

[0065] Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; P wt,n (k) is the operating power of the nth wind turbine at time k in the prediction period; is the maximum active power of the nth wind turbine at time k in the forecast period; δ st,i (k)∈{0,1}, when δ st,i When (k) = 0, it means that the electrolytic cell is in a cold state at time k; when δ st,iWhen (k) = 1, it means that the electrolytic cell ends the cooling state at time k; t st,i (k) is the temperature combination (T a ,T e,i ) is the start-up time required for the electrolyzer to produce hydrogen stably from time k; T a is the ambient temperature of the electrolytic cell at time k; T e,i is the circulating alkali solution temperature of the i-th electrolytic cell at time k; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec,i = 0, the i-th electrolytic cell is not working in the cold state; x ew,i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i When =0, it means that the i-th electrolytic cell is not working in the thermal engine state.

[0066] Optionally, solving the instruction corresponding to the component to be controlled at the maximum value of hydrogen production revenue according to the hydrogen production revenue model includes:

[0067] The expression of hydrogen production revenue model is transformed by using convex relaxation algorithm to obtain mixed integer convex programming expression;

[0068] The convex programming expression includes:

[0069] Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; α e is the electricity selling price; h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k;

[0070] The constraints of the convex programming problem also include:

[0071]

[0072] Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; Pe,i (k) is the hydrogen production power of the i-th electrolyzer at time k;

[0073] The step of solving the instruction corresponding to the component to be controlled at the maximum value of the hydrogen production revenue according to the hydrogen production revenue model, and sending the instruction at the first prediction moment in the prediction cycle to the component to be controlled includes:

[0074] The convex programming problem is solved according to the constraints of the convex programming problem, and an instruction for the first predicted moment of the component to be controlled is obtained and sent to the component to be controlled; wherein the instruction for the first predicted moment of the component to be controlled includes: the power and start / stop state instructions of the electrolyzer and / or the battery power value and / or the fan power value and / or the compressor power value.

[0075] According to a second aspect of the present invention, a control device for a wind power hydrogen production system is provided, the device comprising:

[0076] Component model building module, to establish the start-up time characteristic and start-up power characteristic model of the hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations; and to establish the operation control model of the hydrogen production electrolyzer, battery, hydrogen compressor and hydrogen storage tank in the wind power hydrogen production system;

[0077] A sampling module, used to collect the current ambient temperature and the state of the hydrogen production electrolyzer;

[0078] A constraint condition establishment module, used to establish an operation constraint condition of the setting component at at least one prediction time within a prediction period according to the current ambient temperature and the state of the hydrogen production electrolyzer;

[0079] A hydrogen production revenue model establishment module, used to establish a hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition;

[0080] The instruction control acquisition module solves the instructions corresponding to the hydrogen production electrolyzer, the battery and the hydrogen compressor at the maximum value of the hydrogen production income at the predicted moment according to the hydrogen production income model, and controls the operation of the components to be controlled according to the instructions corresponding to the predicted moment.

[0081] The embodiment of the present invention provides a control method and control device for a wind power hydrogen production system, including: establishing a hydrogen production revenue model by constructing an electrolyzer startup time and startup power characteristic model, setting a component operation control model, and operating constraints within a prediction period based on ambient temperature and electrolyzer status. The model is used to solve the control instructions corresponding to the maximum hydrogen production revenue at the prediction moment, and control the operation of the components accordingly. In the control method provided by the present invention, the startup time characteristic and startup power characteristic models are established based on the combination of hydrogen production electrolyzers at different ambient temperatures and circulating alkali liquid temperatures, and the operating constraints are established based on ambient temperature and electrolyzer status, fully considering the impact of temperature on hydrogen production by the electrolyzer. On this basis, the control instructions of the components to be controlled in the wind power hydrogen production system are obtained according to the operation control model and constraints of the set components in the system wind power hydrogen production system, thereby improving the scheduling accuracy.

[0082] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0084] Figure 1 This is a schematic diagram of the structure of a wind power hydrogen production system provided by an embodiment of the present invention;

[0085] Figure 2 It is a flow chart of a control method of a wind power hydrogen production system provided by an embodiment of the present invention;

[0086] Figure 3 is a flow chart of another control method of a wind power hydrogen production system provided by an embodiment of the present invention;

[0087] Figure 4 is a flow chart of another control method of a wind power hydrogen production system provided by an embodiment of the present invention;

[0088] Figure 5 A control device for a wind power hydrogen production system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0089] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0090] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0091] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0092] Figure 1 is a schematic diagram of a wind power hydrogen production system provided by an embodiment of the present invention, such as Figure 1 As shown, in the wind power hydrogen production system, the wind farm 01 generates electricity and is used to produce hydrogen in the wind power hydrogen production system. The wind power hydrogen production system includes: a first AC / DC conversion device 02, a second AC / DC conversion device 03, a storage battery 04, an electrolyzer array 05, a compressor 06 and a hydrogen storage tank 07. Among them, the wind farm 0 includes at least a plurality of wind turbines; the electrolyzer array 05 includes at least a plurality of hydrogen production electrolyzers.

[0093] Figure 2 is a flow chart of a control method for a wind power hydrogen production system provided by an embodiment of the present invention. Figure 2 As shown, the control method of the wind power hydrogen production system includes:

[0094] S101, establish a startup time characteristic and startup power characteristic model for a hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperatures and circulating alkali solution temperature combinations.

[0095] Specifically, in step S101, a startup time characteristic and startup power characteristic model is established, which can describe the startup time and startup power characteristics of the hydrogen production electrolyzer under different combinations of ambient temperature and circulating alkali solution temperature. The startup time characteristic refers to the time required for the electrolyzer to reach a stable hydrogen production state from the start of startup, while the startup power characteristic refers to the power change required in this process.

[0096] In the start-up time characteristic and start-up power characteristic models, the influence of different ambient temperatures and circulating alkali solution temperature combinations is considered. In a hydrogen production electrolyzer, changes in the ambient temperature of the hydrogen production electrolyzer will directly affect the thermal balance inside the electrolyzer. In a high temperature environment, the inside of the electrolyzer may overheat, resulting in problems such as rapid evaporation of the electrolyte and increased electrode corrosion, thereby affecting the stability and efficiency of the electrolyzer. In a low temperature environment, the electrolyte may solidify or increase in viscosity, resulting in reduced current transfer efficiency and prolonged start-up time. The temperature of the circulating alkali solution of the hydrogen production electrolyzer directly affects the rate and efficiency of the electrolysis reaction. The higher the temperature, the stronger the ion activity in the electrolyte and the faster the electrolysis reaction rate. By establishing a start-up time characteristic and start-up power characteristic model that takes into account the combination of ambient temperature and circulating alkali solution temperature to control the wind power hydrogen production system, it is beneficial to perform corresponding hydrogen production control at different temperatures and avoid hydrogen production inefficiency caused by temperature.

[0097] S102, establishing an operation control model of set components in the wind power hydrogen production system.

[0098] Among them, the set components include: hydrogen production electrolyzer, battery, hydrogen compressor and hydrogen storage tank.

[0099] Specifically, in step S102, an operation control model is established for the hydrogen production electrolyzer, battery, hydrogen compressor and hydrogen storage tank in the wind power hydrogen production system.

[0100] Specifically, the establishment of the operation control model of the hydrogen production electrolyzer is based on the hydrogen production rate of the electrolyzer at a certain moment, the hydrogen production power of the electrolyzer at a certain moment, and whether the electrolyzer is working in a thermal engine state. The hydrogen production rate indicates the amount of hydrogen that the electrolyzer can produce per unit time. When establishing the operation control model, it is necessary to consider the change in the hydrogen production rate of the electrolyzer. The hydrogen production power refers to the electric energy power consumed by the electrolyzer during the hydrogen production process. According to the established hydrogen production rate model, the hydrogen production rate of the hydrogen production electrolyzer is adjusted to achieve the command control of the hydrogen production electrolyzer. For the establishment of the battery operation control model, the model is established using the battery power loss, single cell internal resistance, number of battery cells, battery single cell open circuit voltage, total power of the battery, and remaining battery power. After the model is established, the adjustment instruction of the total power of the battery is obtained. Among them, the power loss reflects the energy loss caused by internal resistance, chemical reaction and other factors during the charging and discharging process of the battery. In the process of model establishment, considering the power loss helps to more accurately predict the actual output power and efficiency of the battery. The internal resistance of a single cell determines the heat generation and efficiency of the battery during the charging and discharging process. The open circuit voltage of the battery is the voltage value of the battery when the external circuit is disconnected. By monitoring the change of the open circuit voltage, the charging and discharging state and the remaining power of the battery can be determined. The total power of the battery is the maximum power output by the battery. For the establishment of the hydrogen compressor operation control model, the compressor power, the compressor hydrogen flow-power coefficient and the hydrogen production rate of the electrolyzer are used to establish it. After the model is established, the adjustment instructions for the hydrogen compressor power are obtained. For the establishment of the operation control model of the hydrogen storage tank, it is established according to the hydrogen production rate of the electrolyzer and the total amount of hydrogen stored in the hydrogen storage tank.

[0101] S103, establishing operating constraint conditions for components at at least one prediction time within a prediction period according to the current ambient temperature and the state of the hydrogen production electrolyzer.

[0102] Specifically, when establishing the operating constraints, the current temperature and the state of the hydrogen production electrolyzer need to be considered. The current temperature includes the ambient temperature of the electrolyzer at the current moment and the temperature of the circulating alkali solution of the electrolyzer. The state of the hydrogen production electrolyzer includes the current working state of the electrolyzer, including determining whether the current state of the electrolyzer is in a hot state, whether it is in a startup state, and whether it is in a cold state.

[0103] Among them, the operating constraints of the electrolyzer are established according to the current state of the electrolyzer, the electric power of the electrolyzer hydrogen production control system when heating the circulating alkali solution at a certain time and current temperature, and the maximum and minimum power constraints of the electrolyzer at a certain time.

[0104] The constraints for battery operation are established by constraining the total power of the battery at a certain moment according to the lower and upper limits of the battery's operating power; at the same time, the upper and lower limits of the battery's storage capacity are considered to constrain the remaining power of the battery.

[0105] The constraint conditions for the hydrogen storage tank are established, and the total hydrogen storage capacity of the hydrogen storage tank is constrained according to the upper and lower limits of the hydrogen storage tank.

[0106] S104, establishing a hydrogen production revenue model of the wind power hydrogen production system according to the start-up time characteristic and start-up power characteristic models, the operation control model and the operation constraint conditions.

[0107] When establishing the hydrogen production revenue model of the wind power hydrogen production system, the revenue expression of the wind power hydrogen production system is established according to the electricity sales price and the hydrogen sales price. According to the principle of economic efficiency, the maximum hydrogen production revenue needs to be selected in the hydrogen production revenue model.

[0108] S105, solving the instruction corresponding to the component to be controlled at the maximum value of the hydrogen production profit at the predicted time according to the hydrogen production profit model, and controlling the operation of the component to be controlled according to the instruction corresponding to the predicted time.

[0109] The components to be controlled include: a hydrogen production electrolyzer, a battery and a hydrogen compressor. Optionally, a convex relaxation transformation is performed on the hydrogen production revenue model to obtain a mixed integer convex programming expression. The convex programming problem is solved to obtain the instruction of the first prediction moment of the component to be controlled, and sent to the component to be controlled.

[0110] Optionally, the instructions for all prediction moments in the prediction cycle are calculated based on the sampling information at the current moment and the maximum active power of each wind turbine predicted in the prediction cycle, and the instructions for the first prediction moment are sent to the component to be controlled, so as to realize global prediction control. At the same time, after the instructions for the first prediction moment are sent to the component to be controlled, the next prediction moment is used as the starting moment of the second prediction cycle, and the global prediction within the second prediction cycle is performed, and the prediction control instructions at the starting moment of the second prediction cycle are sent to the component to be controlled, so as to realize rolling prediction control.

[0111] The embodiment of the present invention provides a control method for a wind power hydrogen production system, including: establishing a hydrogen production revenue model by constructing an electrolyzer startup time and startup power characteristic model, setting a component operation control model, and operating constraints within a prediction period based on ambient temperature and electrolyzer status. The model is used to solve the control instructions corresponding to the maximum hydrogen production revenue at the prediction moment, and control the operation of the components accordingly. In the control method provided by the present invention, the startup time characteristic and startup power characteristic models are established based on the combination of hydrogen production electrolyzers at different ambient temperatures and circulating alkali liquid temperatures, and the operating constraints are established based on ambient temperature and electrolyzer status, fully considering the impact of temperature on hydrogen production by the electrolyzer. On this basis, the control instructions of the components to be controlled in the wind power hydrogen production system are obtained according to the operation control model and constraints of the set components in the system wind power hydrogen production system, thereby improving the scheduling accuracy.

[0112] Continue to refer Figure 2 On the basis of the above embodiment, in step S101, a startup time characteristic and startup power characteristic model of a hydrogen production electrolyzer for achieving stable hydrogen production under different ambient temperatures and circulating alkali solution temperature combinations is established, including:

[0113] The start-up time characteristic expression includes: t st,i (k) = f st,i (k,T a ,T e,i );

[0114] The starting power characteristic model expression includes: P st,i (k) = f t,i (k,T a ,T e,i );

[0115] Among them, T a is the ambient temperature of the electrolytic cell at time k, T e,i is the circulating alkali solution temperature of the ith electrolytic cell at time k, t st,i is the temperature combination (T a ,T e,i ) from the time k to the time when the electrolyzer can produce hydrogen stably, P st,i is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution.

[0116] Specifically, the start-up time characteristic expression represents the start-up time required for the electrolyzer to stably produce hydrogen from the moment k, based on the ambient temperature of the electrolyzer and the circulating alkali solution temperature of the ith electrolyzer. The start-up power characteristic model expression represents the electric power of the ith electrolyzer hydrogen production control system when heating the circulating alkali solution, based on the ambient temperature of the electrolyzer and the circulating alkali solution temperature of the ith electrolyzer, at the moment k.

[0117] Through the above two expressions, the models of the start-up time characteristics and start-up power characteristics of the hydrogen production electrolyzer under different combinations of ambient temperature and circulating alkali solution temperature can be established. Based on these models, the control strategy of the wind power hydrogen production system can be further optimized.

[0118] According to the changes in ambient temperature and circulating alkali solution temperature, the start-up time and heating power of the electrolyzer are obtained, and the start-up time characteristics and start-up power characteristics are incorporated into the control instruction acquisition method of the wind power hydrogen production system, and how to quickly and efficiently start the electrolyzer under different conditions and achieve a stable hydrogen production state is comprehensively considered. By accurately controlling the start-up process of the electrolyzer, the energy consumption and time cost during the start-up process can be reduced, thereby improving the energy efficiency and economic benefits of the entire wind power hydrogen production system.

[0119] Continue to refer Figure 2 Based on the above embodiment, in step S102, an operation control model of a setting component in a wind power hydrogen production system is established, including:

[0120] Establish the operation control model of the hydrogen production electrolyzer in the wind power hydrogen production system:

[0121]

[0122] in, is the hydrogen production rate of the i-th electrolyzer at time k; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; a 2,i 、a 1,i and a 0,i is the power-hydrogen production rate curve fitting parameter of the ith electrolyzer; x eh,i Is whether the i-th electrolyzer is working in the thermal engine operation state.

[0123] In step S102, an operation control model of the hydrogen production electrolyzer in the wind power hydrogen production system is established, and the relationship between the hydrogen production rate and the hydrogen production power of the electrolyzer under different working conditions is defined.

[0124] Specifically, in the operation control model of the hydrogen production electrolyzer in the wind power hydrogen production system, the relationship between the hydrogen production rate of the electrolyzer and the hydrogen production power is described in the form of a quadratic function, and the working state of the electrolyzer is taken into account.eh,i =1, the hydrogen production rate and hydrogen production power have a quadratic function relationship; when the electrolyzer is not in working state, x eh,i ≠1, the hydrogen production rate is 0. This model can be used for the optimal operation control of the wind power hydrogen production system, and the optimal operation of the system can be achieved by obtaining the current hydrogen production power and start-stop state instructions of the electrolyzer.

[0125] The operation control model of the battery in the wind power hydrogen production system includes:

[0126]

[0127] E b (k+1)=E b (k)-P b (k) △t;

[0128] Among them, B b (k) is the power consumption of the battery at time k; R b is the internal resistance of the battery cell; s b is the number of battery cells; V b is the open circuit voltage of the battery cell; P b (k) is the total power of the battery at time k; E b (k+1) is the remaining battery power at time k+1; E b (k) is the remaining battery power at time k; △t is the predicted time interval for the status of each component;

[0129] In step S102, establishing the operation control model of the battery can achieve accurate description and prediction of the battery charging and discharging process, thereby optimizing the energy distribution and scheduling of the system and improving the overall efficiency and reliability of the system.

[0130] Specifically, in the operation control model of the battery, by establishing a total power model, the energy flow of the battery under different operating conditions can be accurately described.

[0131] Among them, by obtaining the power loss of the battery under different operating conditions, the charging and discharging strategies can be optimized to reduce unnecessary energy losses, thereby improving the energy conversion efficiency of the entire system. Obtaining the remaining power of the battery at any given moment helps to avoid overcharging or overdischarging and improve the life and performance of the battery. The charging and discharging strategies of the battery directly affect its life and efficiency. By establishing a model of total power, these strategies can be optimized to minimize energy losses and extend the service life of the battery. The electrical output is fluctuating, and the battery needs to provide stable energy output under such fluctuations. By establishing a model of total power, it is possible to respond to changes in wind power output in real time and predict the energy state of the battery at future moments, thereby ensuring the stable operation of the system. The total power model of the battery helps to ensure the stability of the voltage and frequency of the system. When the wind power output fluctuates, the battery can balance the supply and demand of the system by adjusting its total power, thereby avoiding voltage fluctuations.

[0132] The operation control model of the hydrogen storage tank in the wind power hydrogen production system includes:

[0133]

[0134] Among them, E t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle; E t (k+1) is the total amount of hydrogen stored in the hydrogen storage tank at time k+1 in the prediction cycle; is the hydrogen production rate of the i-th electrolyzer at time k; E hd (k) is the amount of hydrogen required by the wind power hydrogen production system at time k in the forecast period;

[0135] In step S102, an operation control model of the hydrogen storage tank is established to effectively manage and optimize the scheduling of hydrogen in the wind power hydrogen production system. By operating the control model, the hydrogen storage capacity of the hydrogen storage tank at different time points is predicted and regulated to ensure that the system can be flexibly adjusted according to the volatility of wind power production and the volatility of hydrogen demand, thereby achieving a balance between hydrogen supply and demand and system optimization.

[0136] Specifically, the model of the total amount of hydrogen storage at time k and time k+1 is established for time prediction and control. In the wind power hydrogen production system, due to the intermittent and uncertain nature of wind power production, the amount of hydrogen produced will vary over time. At the same time, hydrogen demand may also fluctuate due to external factors. By establishing a model of the total amount of hydrogen storage at time k and time k+1, the change in hydrogen reserves in the future can be predicted, so that scheduling decisions can be made in advance. Among them, E t (k) and E t (k+1) represents the total amount of hydrogen storage at time k and time k+1 respectively, and is used to represent the hydrogen storage capacity of the hydrogen storage tank at different time points. It represents the hydrogen production rate of the i-th electrolyzer, reflecting the production capacity of the wind power hydrogen production system. hd (k) represents the hydrogen demand at time k. These parameters jointly determine the change in hydrogen storage capacity of the hydrogen storage tank.

[0137] The operation control model of the hydrogen compressor in the wind power hydrogen production system includes:

[0138]

[0139] Among them, P c (k) compressor power at time k; α c Compressor hydrogen flow-power coefficient; is the hydrogen production rate of the i-th electrolyzer at time k.

[0140] In step S102, the operation control model of the hydrogen compressor is established to achieve effective management and optimization of the hydrogen compression link in the wind power hydrogen production system. Through the operation control model, the power demand of the hydrogen compressor at different time points can be predicted and regulated to ensure that the system can be flexibly adjusted according to the hydrogen production rate of the electrolyzer, thereby achieving effective compression of hydrogen and optimized operation of the system.

[0141] In step S102, by establishing an operation control model of the hydrogen compressor, the hydrogen production rate of the electrolyzer can be and compressor hydrogen flow-power coefficient α c Calculate the compressor power at time k. The compressor power P at time k c (k) is the compressor power instruction. Optionally, obtaining the compressor power control instruction in real time at time k in the subsequent step can ensure that the hydrogen compressor is flexibly adjusted according to the actual needs of the system, thereby achieving effective compression of hydrogen and energy saving and consumption reduction of the system. This helps to improve the efficiency and stability of the entire wind power hydrogen production system.

[0142] Figure 3 is a flow chart of another control method of a wind power hydrogen production system provided by an embodiment of the present invention. Figure 3 The control method of the wind power hydrogen production system shown includes:

[0143] S201, establish a startup time characteristic and startup power characteristic model for a hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations.

[0144] S202: Establishing an operation control model of set components in the wind power hydrogen production system.

[0145] S203, based on the current temperature and the state of the electrolytic cell, establish the operating constraints of the electrolytic cell at the predicted time.

[0146]

[0147] P st,i (k) = f t,i (T a ,T e,i );

[0148]

[0149] in, is the minimum power lower limit of the ith electrolytic cell at the kth moment; is the minimum power constraint of the ith electrolytic cell under the thermal engine state; P st,i (k) is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution; T a is the ambient temperature of the electrolytic cell at time k, T e,i yes k The circulating alkali solution temperature of the i-th electrolytic cell at the moment; is the minimum power upper limit of the ith electrolyzer at the kth moment; is the maximum power constraint of the i-th electrolyzer under the thermal engine state; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec,i = 0, the i-th electrolytic cell is not working in the cold state; x ew,i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i = 0, it means that the i-th electrolytic cell is not working in the thermal engine state; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k.

[0150] After the operation control model of the electrolyzer has been established in step S202, the operation constraint conditions of the electrolyzer are established in step S203 to ensure that the electrolyzer can operate safely and efficiently during actual operation while meeting specific hydrogen production requirements.

[0151] Specifically, the minimum and maximum power constraints of the i-th electrolyzer in the thermal state ensure that the electrolyzer does not exceed its design capacity during normal operation. By setting the minimum and maximum power constraints, the electrolyzer can be prevented from operating under extreme conditions, thereby avoiding damage or safety accidents. The calculation of the electric power of the i-th electrolyzer hydrogen production control system when heating the circulating alkali solution at time k and temperature combination takes into account the ambient temperature and the circulating alkali solution temperature, which helps to optimize the heating efficiency of the electrolyzer according to the current conditions, thereby improving the hydrogen production efficiency. By xec,i 、x ew,i and x eh,i These three variables can dynamically adjust the power constraints of the electrolyzer according to its current working state, thus ensuring that it can operate efficiently under different conditions.

[0152] S204, establishing constraints on battery operation at the prediction time.

[0153]

[0154] in, is the lower limit of the battery’s operating power; P is the upper limit of the battery’s operating power; b (k) is the total power of the battery at time k; is the lower limit of the battery’s storage capacity, E is the upper limit of the battery's storage capacity; b (k) is the remaining battery power at time k.

[0155] Step S204 establishes constraints on battery operation to ensure that the battery can operate safely and reliably during actual operation, while optimizing its performance and service life. Setting upper and lower power limits can prevent the battery from being overcharged or over-discharged, thereby extending its service life and maintaining stable performance. Setting upper and lower power limits can prevent safety issues caused by abnormal power levels in the battery, such as thermal runaway, fire, or explosion.

[0156] By managing the remaining power of the battery, it can be ensured that it always operates within a safe range of power storage, while optimizing its charging and discharging strategy to improve energy efficiency and system reliability. Specifically, at any time k, the total power of the battery must meet the constraints to ensure that the battery does not exceed its design capacity during the charging and discharging process, thereby protecting the battery from damage. The constraints on the remaining power of the battery also ensure that the battery always operates within a safe range of power storage, preventing performance degradation or safety issues caused by low or high power.

[0157] S205, establishing constraints on the operation of the hydrogen storage tank at the prediction time.

[0158]

[0159] in, is the lower limit of hydrogen storage in the hydrogen storage tank; E is the upper limit of hydrogen storage capacity of the hydrogen storage tank; t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle.

[0160] In step S205, constraints on the operation of the hydrogen storage tank are established to ensure that the hydrogen storage tank can operate safely and effectively during actual operation, so as to maintain the stability of the system and extend the service life of the hydrogen storage tank.

[0161] The upper and lower limits of hydrogen storage in a hydrogen storage tank indicate the amount of hydrogen that the tank should maintain at any time. Setting this parameter helps prevent system instability or safety issues caused by too low or too high a hydrogen level. By managing the amount of hydrogen in the hydrogen storage tank, the overall performance of the hydrogen energy system can be optimized, ensuring that the system can provide sufficient hydrogen when needed, while safely storing excess hydrogen when not needed. This ensures that the hydrogen storage tank will not be unable to meet system needs at any time due to too low a hydrogen level, nor will it face safety risks due to too high a hydrogen level.

[0162] S206: Establish a hydrogen production revenue model for the wind power hydrogen production system according to the start-up time characteristic and start-up power characteristic models, the operation control model and the operation constraint conditions.

[0163] S207, solving the instruction corresponding to the component to be controlled at the maximum value of the hydrogen production profit at the predicted time according to the hydrogen production profit model, and controlling the operation of the component to be controlled according to the instruction corresponding to the predicted time.

[0164] Figure 4 is a flow chart of another control method of a wind power hydrogen production system provided by an embodiment of the present invention. Figure 4 The control method of the wind power hydrogen production system shown includes:

[0165] S301, establishing a startup time characteristic and startup power characteristic model for a hydrogen production electrolyzer to achieve stable hydrogen production under different combinations of ambient temperature and circulating alkali solution temperature.

[0166] S302: Establishing an operation control model of set components in the wind power hydrogen production system.

[0167] S303: Establish operating constraints for components at at least one prediction time within a prediction period according to the current ambient temperature and the state of the hydrogen production electrolyzer.

[0168] S304, obtaining a maximum active power generation history curve of each wind turbine over a period of time.

[0169] In step S304, the maximum active power generation history curve of each wind turbine within a period of time is obtained. The maximum active power refers to the maximum power that the wind turbine can output under specific conditions. In actual operation, due to the influence of various factors such as wind speed, wind direction, and temperature, the actual power generation of the wind turbine will continue to change. The maximum active power generation represents the power generation capacity of the wind turbine under ideal conditions.

[0170] According to the changing trend of the maximum active power generation history curve, the maximum active power at each prediction moment in the future prediction cycle can be predicted in the subsequent steps.

[0171] S305: predicting the maximum active power of each wind turbine at each prediction moment according to the maximum active power generation history curve.

[0172] According to the historical curve change trend obtained in step S304, the maximum active power at each prediction moment in the prediction period is obtained in step S305.

[0173] Optionally, the acquired maximum active power can be used for the operating power of the nth wind turbine at time k in the future.

[0174] S306, determining a hydrogen production revenue expression of the wind power hydrogen production system at at least one prediction moment in the prediction period.

[0175] The profit expression of wind power hydrogen production system is:

[0176] Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; α e is the electricity selling price; h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k.

[0177] In S306, the purpose of establishing the hydrogen production benefit expression is to quantify the economic benefits of the wind power hydrogen production system within a specific forecast period.

[0178] The electricity price and hydrogen price determine the economic benefits of the wind power hydrogen production system. The electricity price reflects the value of the electricity market, while the hydrogen price reflects the value of the hydrogen energy market. Through these two parameters, the benefits of the wind power hydrogen production system in the electricity and hydrogen energy markets are calculated. The grid-connected power generation of the wind power hydrogen production system reflects the output capacity of the wind power hydrogen production system in the electricity market. The greater the grid-connected power generation, the more electricity the system can provide to the grid, thereby obtaining more electricity sales revenue. The hydrogen production rate of the electrolyzer reflects the output capacity of the wind power hydrogen production system in the hydrogen energy market. The higher the hydrogen production rate, the more hydrogen the system can produce, thereby obtaining more hydrogen sales revenue.

[0179] When establishing the hydrogen production revenue expression, all forecast moments within the forecast period are accumulated to calculate the total revenue within the entire forecast period. The grid-connected power generation of the wind power hydrogen production system and the hydrogen production rate of the electrolyzer are both quantities that change over time. During the forecast period, the hydrogen production revenue is limited by the power generation power and the hydrogen production rate of the electrolyzer to achieve global optimization of the wind power hydrogen production control system within the forecast period. During the operation and scheduling of the wind power hydrogen production system, it includes how to start or stop the system, how to adjust the hydrogen production rate of the electrolyzer, etc. The selection of these control instructions needs to be based on revenue prediction and evaluation. Selecting the maximum hydrogen production revenue in the revenue expression can ensure that the formulated operation strategy has the highest revenue among all possible strategies, thereby achieving the goal of economic optimization.

[0180] At the same time, the wind power hydrogen production control command is globally predicted within the prediction cycle, that is, the control command is obtained according to the prediction parameters in the future period. In step S306, the calculation of the wind power hydrogen production revenue is also a summation of each time point in the prediction cycle. The control command obtained at the first time point of the prediction cycle can guarantee the maximum hydrogen production revenue in the future period, which helps to reduce the significant adjustment of the command control at the future time and improve the stability of the wind power hydrogen production system.

[0181] S307, determining the hydrogen production revenue constraint condition corresponding to the hydrogen production revenue expression according to the predicted maximum power of the wind turbine, the starting time characteristic and the starting power characteristic model, the operation control model and the operation constraint condition.

[0182] In step S307, the component operation control model, operation constraint conditions, wind turbine predicted maximum power and startup time characteristics and startup power characteristic model established in the above steps are used as hydrogen production revenue constraint conditions.

[0183] The predicted maximum power of the wind turbine limits the maximum wind energy resources that can be used by the wind power hydrogen production system, thus affecting the power generation and hydrogen production rate of the system. The startup time characteristic and startup power characteristic models reflect the characteristics of the wind power hydrogen production system during the startup process, including the change law of the startup time and startup power. Constraints include the system's operating strategy, control parameters, and physical limitations, which together determine the system's output capacity and operating status at a specific moment. This facilitates the acquisition of control instructions in subsequent steps.

[0184] The constraints on hydrogen production revenue also include:

[0185]

[0186] x ec,i +x ew,i +x eh,i =1;x ec,i ∈{0,1};xew,i ∈{0,1};x eh,i ∈{0,1};

[0187] t st,i (k) = f st,i (k,T a ,T e,i )

[0188]

[0189] δ st,i (k) = x ec,i (k-1)-x ec,i (k);

[0190] Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; P wt,n (k) is the operating power of the nth wind turbine at time k in the prediction period; is the maximum active power of the nth wind turbine at time k in the forecast period; δ st,i (k)∈{0,1}, when δ st,i When (k) = 0, it means that the electrolytic cell is in a cold state at time k; when δ st,i When (k) = 1, it means that the electrolytic cell ends the cooling state at time k; t st,i (k) is the temperature combination (T a ,T e,i ) is the start-up time required for the electrolyzer to produce hydrogen stably from time k; T a is the ambient temperature of the electrolytic cell at time k; T e,i is the circulating alkali solution temperature of the i-th electrolytic cell at time k; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec,i = 0, the i-th electrolytic cell is not working in the cold state; x ew , i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i When =0, it means that the i-th electrolytic cell is not working in the thermal engine state.

[0191] After the hydrogen production revenue model is established, constraints are established for the hydrogen production revenue model in step S308. The constraints cover multiple aspects of the wind power hydrogen production system, including the charging and discharging efficiency of the battery, the operating power of the wind turbine, the working status of the electrolyzer, etc. These conditions together constitute the boundary conditions for the operation of the system, ensuring the optimal operation of the system under specific conditions. At the same time, according to the control instructions corresponding to the maximum hydrogen production revenue, global optimal control of the wind power hydrogen production system is also achieved.

[0192] For component operation control models, operation constraints, wind turbine predicted maximum power and startup time characteristics and startup power characteristic models, the main focus is on the characteristics of individual components or processes.

[0193] At the same time, other constraints of the wind power hydrogen production revenue model also need to constrain the coordination, stability and economy of the overall operation of the system. Specifically, the battery charging and discharging efficiency constraint ensures that the battery can efficiently use electrical energy during the charging and discharging process to avoid energy loss, which can reduce energy consumption and costs and increase hydrogen production revenue. The wind turbine operating power constraint limits the wind turbine operating power within a reasonable range to avoid excessive wear or damage, while ensuring full utilization of wind energy. It can ensure that the wind power hydrogen production system can operate stably under various working conditions to avoid failures or accidents. The electrolyzer working state constraint ensures that the electrolyzer can operate stably under different states (cold machine, start, hot machine) to avoid increased energy consumption and equipment damage caused by frequent start and stop. The startup time characteristic and startup power characteristic constraint are based on the startup time and startup power characteristics of the electrolyzer, and the startup process is reasonably arranged to ensure that the system can quickly and stably enter the hydrogen production state.

[0194] S308, determining the hydrogen production revenue expression and the corresponding hydrogen production revenue constraint condition as a hydrogen production revenue model.

[0195] S309, solving the instruction corresponding to the component to be controlled at the maximum value of the hydrogen production profit at the predicted time according to the hydrogen production profit model, and controlling the operation of the component to be controlled according to the instruction corresponding to the predicted time.

[0196] Among them, the convex relaxation algorithm is used to transform the expression of the hydrogen production revenue model to obtain a mixed integer convex programming expression;

[0197] The convex programming expression includes:

[0198]

[0199] Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; α e is the electricity selling price;h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k;

[0200] The constraints of the convex programming problem also include:

[0201]

[0202] Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k;

[0203] The expression of the hydrogen production revenue model is transformed using the convex relaxation algorithm to obtain a mixed integer convex programming expression. In the hydrogen production revenue model, there are many complex constraints, such as the charging and discharging efficiency of the battery, the operating power limit of the fan, the hydrogen production rate of the electrolyzer, etc. Using the mathematical properties of the convex programming problem, the convex programming problem can easily handle these constraints and ensure that the solution process meets all actual operation requirements.

[0204] The command corresponding to the component to be controlled under the maximum value of hydrogen production revenue is solved according to the hydrogen production revenue model, and the command at the first prediction moment in the prediction cycle is sent to the component to be controlled, including:

[0205] The convex programming problem is solved according to the constraints of the convex programming problem, and the instruction of the first predicted moment of the component to be controlled is obtained and sent to the component to be controlled; wherein the instruction of the first predicted moment of the component to be controlled includes: the power and start / stop state instruction of the electrolyzer and / or the battery power value and / or the fan power value and / or the compressor power value.

[0206] At the current moment, the system first collects relevant sampling information and predicts the instructions for all prediction moments in the future prediction period based on the convex programming problem. These instructions include the power and start / stop state instructions of the electrolyzer and / or the battery power value and / or the fan power value and / or the compressor power value. These instructions can maximize the hydrogen production benefits of the entire system. Then, the system sends the instructions for the first prediction moment to the component to be controlled to perform the corresponding operation.

[0207] After the instruction of the first prediction moment is executed, the system does not stop the prediction and control process, but takes the next prediction moment as the starting point of the new prediction cycle. The system collects the sampling information of the current moment again and performs global optimization control again based on this information. This process is repeated continuously, forming a rolling prediction and control cycle to adapt to changes in system status and environmental conditions.

[0208] In the control method of the wind power hydrogen production system provided in the embodiment of the present invention, rolling prediction control and global prediction control are implemented. The advantage of rolling prediction control is that it can continuously adjust the control instructions according to the latest sampling information and prediction results, so as to more accurately track the actual state of the system and improve the real-time and accuracy of the control. At the same time, global prediction control ensures that the system can operate in the optimal way throughout the prediction cycle to maximize the benefits or efficiency.

[0209] Figure 5 A control device for a wind power hydrogen production system provided by an embodiment of the present invention is Figure 5 As shown, based on any of the above embodiments, the control device is used to execute the control method of the wind power hydrogen production system of any of the above embodiments of the present invention, and the control device includes:

[0210] The component model building module 401 builds the start-up time characteristic and start-up power characteristic models of the hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations; and builds the operation control models of the hydrogen production electrolyzer, battery, hydrogen compressor and hydrogen storage tank in the wind power hydrogen production system;

[0211] Sampling module 402, used to collect current ambient temperature and hydrogen production electrolyzer status;

[0212] The constraint condition establishment module 403 is used to establish the operation constraint conditions of the set components at at least one prediction time within the prediction period according to the current ambient temperature and the state of the hydrogen production electrolyzer;

[0213] A hydrogen production revenue model establishment module 404 is used to establish a hydrogen production revenue model for a wind power hydrogen production system according to a startup time characteristic and startup power characteristic model, an operation control model and operation constraints;

[0214] The command control acquisition module 405 solves the commands corresponding to the hydrogen production electrolyzer, the battery and the hydrogen compressor at the maximum hydrogen production revenue at the predicted time according to the hydrogen production revenue model, and controls the operation of the components to be controlled according to the commands corresponding to the predicted time.

[0215] The control device of a wind power hydrogen production system provided in this embodiment can achieve the same technical effect as the control method of a wind power hydrogen production system provided in the above-mentioned invention embodiment, and will not be described in detail here.

[0216] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A control method for a wind power hydrogen production system, characterized in that: The control method comprises: Establish the startup time and power characteristics model of hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations; Establishing an operation control model of the setting components in the wind power hydrogen production system; wherein the setting components include: the hydrogen production electrolyzer, the battery, the hydrogen compressor and the hydrogen storage tank; According to the current ambient temperature and the state of the hydrogen production electrolyzer, establishing the operation constraint condition of the setting component at at least one prediction time within the prediction period; Establishing a hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition; The instructions corresponding to the components to be controlled at the maximum value of the hydrogen production revenue at the predicted moment are solved according to the hydrogen production revenue model, and the operation of the components to be controlled according to the instructions corresponding to the predicted moment; wherein the components to be controlled include: a hydrogen production electrolyzer, the battery and the hydrogen compressor.

2. The control method of the wind power hydrogen production system according to claim 1, characterized in that: The establishment of a startup time characteristic and startup power characteristic model for a hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperatures and circulating alkali solution temperature combinations includes: The start-up time characteristic expression includes: st,i (k) = f st,i (k,T a ,T e,i ); The starting power characteristic model expression includes: st,i (k) = f t,i (k,T a ,T e,i ); Among them, T a is the ambient temperature of the electrolytic cell at time k, T e,i is the circulating alkali solution temperature of the ith electrolytic cell at time k, t st,i is the temperature combination (T a ,T e,i ) from the time k to the time when the electrolyzer can produce hydrogen stably, P st,i is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution.

3. The control method of the wind power hydrogen production system according to claim 1, characterized in that: The establishment of an operation control model of a setting component in the wind power hydrogen production system includes: Establish the operation control model of the hydrogen production electrolyzer in the wind power hydrogen production system, including: in, is the hydrogen production rate of the i-th electrolyzer at time k; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; a 2,i 、a 1,i and a 0,i is the power-hydrogen production rate curve fitting parameter of the ith electrolyzer; x eh,i is whether the i-th electrolyzer is operating in the thermal engine operation state; Establish the operation control model of the battery in the wind power hydrogen production system, including: E b (k+1)=E b (k)-P b (k)△t; Among them, B b (k) is the power consumption of the battery at time k; R b is the internal resistance of the battery cell; s b is the number of battery cells; V b is the open circuit voltage of the battery cell; P b (k) is the total power of the battery at time k; E b (k+1) is the remaining battery power at time k+1; E b (k) is the remaining battery power at time k; △t is the predicted time interval for the status of each component; Establish the operation control model of the hydrogen storage tank in the wind power hydrogen production system, including: Among them, E t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle; E t (k+1) is the total amount of hydrogen stored in the hydrogen storage tank at time k+1 in the prediction cycle; is the hydrogen production rate of the i-th electrolyzer at time k; E hd (k) is the amount of hydrogen required by the wind power hydrogen production system at time k in the forecast period; Establish the operation control model of the hydrogen compressor in the wind power hydrogen production system, including: Among them, P c (k) compressor power at time k; α c Compressor hydrogen flow-power coefficient; is the hydrogen production rate of the i-th electrolyzer at time k.

4. The control method of the wind power hydrogen production system according to claim 1, characterized in that: The operation constraint conditions of the setting component are established according to the current ambient temperature and the state of the hydrogen production point solution tank, including: Based on the current temperature and state of the electrolytic cell, establish the operating constraints of the electrolytic cell at the prediction time; Establish the constraints of battery operation at the prediction time; Establish state constraints for the hydrogen storage tank.

5. The control method of the wind power hydrogen production system according to claim 4 is characterized in that The operating constraints of the electrolyzer include: P st,i (k)=f t,i (T a ,T e,i ); in, is the minimum power lower limit of the ith electrolytic cell at the kth moment; is the minimum power constraint of the ith electrolytic cell under the thermal engine state; P st,i (k) is the hydrogen production control system of the i-th electrolyzer at time k and temperature combination (T a ,T e,i ) when heating the circulating alkali solution; T a is the ambient temperature of the electrolytic cell at time k, T e,i is the circulating alkali solution temperature of the ith electrolytic cell at time k; is the minimum power upper limit of the ith electrolyzer at the kth moment; is the maximum power constraint of the i-th electrolyzer under the thermal engine state; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec,i = 0, the i-th electrolytic cell is not working in the cold state; x ew,i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i = 0, it means that the i-th electrolytic cell is not working in the thermal engine state; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; The constraints on battery operation include: in, is the lower limit of the battery’s operating power; P is the upper limit of the battery’s operating power; b (k) is the total power of the battery at time k; is the lower limit of the battery’s storage capacity, E is the upper limit of the battery's storage capacity; b (k) is the remaining battery power at time k; The state constraints of the hydrogen storage tank include: in, is the lower limit of hydrogen storage in the hydrogen storage tank; E is the upper limit of hydrogen storage capacity of the hydrogen storage tank; t (k) is the total amount of hydrogen stored in the hydrogen storage tank at time k in the prediction cycle.

6. The control method of the wind power hydrogen production system according to claim 1, characterized in that: Before establishing the hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition, the method further includes: Obtain the predicted maximum power of the wind turbine at at least one prediction moment in the prediction period; The establishing of the hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition comprises: Determine a hydrogen production revenue expression of the wind power hydrogen production system at at least one prediction moment in the prediction period; Determine the hydrogen production revenue constraint condition corresponding to the hydrogen production revenue expression according to the predicted maximum power of the wind turbine, the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition; The hydrogen production revenue expression and the corresponding hydrogen production revenue constraint conditions are determined as the hydrogen production revenue model.

7. The control method of the wind power hydrogen production system according to claim 6, characterized in that: The obtaining of the predicted maximum power of the wind turbine at at least one prediction moment in the prediction cycle includes: Obtain the maximum active power generation history curve of each wind turbine over a period of time; The maximum active power of each wind turbine at each prediction moment is predicted according to the maximum active power generation history curve.

8. The control method of the wind power hydrogen production system according to claim 6, characterized in that: According to the operation control model and the operation constraint conditions, a hydrogen production revenue model of the wind power hydrogen production system is established, including: The hydrogen production revenue expression of the wind power hydrogen production system is: Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; α e is the electricity selling price; h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k; The hydrogen production revenue constraint condition includes the predicted maximum power of the wind turbine, the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition; The hydrogen production revenue constraint conditions also include: x ec,i +x ew,i +x eh,i =1;x ec,i ∈{0,1};x ew,i ∈{0,1};x eh,i ∈{0,1}; t st,i (k)=f st,i (k,T a ,T e,i ) δ st,i (k)=x ec,i (k-1)-x ec,i (k); Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; P wt,n (k) is the operating power of the nth wind turbine at time k in the prediction period; is the maximum active power of the nth wind turbine at time k in the forecast period; δ st,i (k)∈{0,1}, when δ st,i When (k) = 0, it means that the electrolytic cell is in a cold state at time k; when δ st,i When (k) = 1, it means that the electrolytic cell ends the cooling state at time k; t st,i (k) is the temperature combination (T a ,T e,i ) is the start-up time required for the electrolyzer to produce hydrogen stably from time k; T a is the ambient temperature of the electrolytic cell at time k; T e,i is the circulating alkali solution temperature of the i-th electrolytic cell at time k; x ec,i = 1, the i-th electrolytic cell works in the cold state, x ec,i = 0, the i-th electrolytic cell is not working in the cold state; x ew,i =1, it means that the i-th electrolytic cell is working in the startup state, x ew,i =0, it means that the i-th electrolytic cell is not working in the startup state; eh,i =1, it means that the i-th electrolytic cell is working in the thermal engine state, x eh,i When =0, it means that the i-th electrolytic cell is not working in the thermal engine state.

9. The control method of the wind power hydrogen production system according to claim 8, characterized in that: The instructions corresponding to the components to be controlled under the maximum hydrogen production revenue according to the hydrogen production revenue model include: The expression of hydrogen production revenue model is transformed by using convex relaxation algorithm to obtain mixed integer convex programming expression; The convex programming expression includes: Among them, J * is the revenue of the wind power hydrogen production system; t0 is the starting time of the prediction period, K is the number of prediction intervals within the prediction period; △t is the prediction interval; α e is the electricity selling price; h is the selling price of hydrogen; P g (k) is the grid-connected power generation of the wind power hydrogen production system at time k; is the hydrogen production rate of the i-th electrolyzer at time k; The constraints of the convex programming problem also include: Among them, η bc is the charging efficiency of the battery; P b (k) is the total power of the battery at time k; B b (k) is the power consumption of the battery at time k; P wt,n (k) is the operating power of the nth fan at time k; n is the fan number; P c (k) is the compressor power; P e,i (k) is the hydrogen production power of the i-th electrolyzer at time k; The step of solving the instruction corresponding to the component to be controlled at the maximum value of the hydrogen production revenue according to the hydrogen production revenue model, and sending the instruction at the first prediction moment in the prediction cycle to the component to be controlled includes: The convex programming problem is solved according to the constraints of the convex programming problem, and an instruction for the first predicted moment of the component to be controlled is obtained and sent to the component to be controlled; wherein the instruction for the first predicted moment of the component to be controlled includes: the power and start / stop state instructions of the electrolyzer and / or the battery power value and / or the fan power value and / or the compressor power value.

10. A control device for a wind power hydrogen production system, characterized in that: include: Component model building module, to establish the start-up time characteristic and start-up power characteristic model of the hydrogen production electrolyzer to achieve stable hydrogen production under different ambient temperature and circulating alkali solution temperature combinations; and to establish the operation control model of the hydrogen production electrolyzer, battery, hydrogen compressor and hydrogen storage tank in the wind power hydrogen production system; A sampling module, used to collect the current ambient temperature and the state of the hydrogen production electrolyzer; A constraint condition establishment module, used to establish an operation constraint condition of the setting component at at least one prediction time within a prediction period according to the current ambient temperature and the state of the hydrogen production electrolyzer; A hydrogen production revenue model establishment module, used to establish a hydrogen production revenue model of the wind power hydrogen production system according to the startup time characteristic and the startup power characteristic model, the operation control model and the operation constraint condition; The instruction control acquisition module solves the instructions corresponding to the hydrogen production electrolyzer, the battery and the hydrogen compressor at the maximum value of the hydrogen production income at the predicted moment according to the hydrogen production income model, and controls the operation of the components to be controlled according to the instructions corresponding to the predicted moment.

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