Hydrogen wheel stop control and capacity configuration optimization method, system and equipment and medium

Abstract

The invention discloses a hydrogen wheel stop control and capacity configuration optimization method, system, equipment and medium, and the method comprises the following steps: constructing a plurality of electrolytic bath operation modes through power interval division according to the start-stop characteristic and work constraint of an alkaline electrolytic bath; through the operation mode of the electrolytic cell, distributing hydrogen production power of different electrolytic cell units by adopting a turn stop control strategy, and performing cooperative control by combining with a storage battery to form a system operation control strategy; and through the system operation control strategy, the capacity configuration of the alkaline electrolytic bath and the storage battery is optimized by taking the unit hydrogen production cost minimization as the target. According to the invention, the characteristics of the electrolytic cell device are fully excavated from each single body of the electrolytic cell array, and the hydrogen production power of different electrolytic cell units is reasonably distributed by adopting an alternate stop control strategy, so that the working time and the load condition of each electrolytic cell unit are more balanced, and the problem of uneven working of each single body of the electrolytic cell array is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of hydrogen production technology by new energy power generation in the power industry, and particularly relates to a hydrogen wheel stop control and capacity configuration optimization method, system, device and medium. BACKGROUND

[0002] At present, vigorously developing renewable energy has become the dominant direction and consistent action of global energy revolution and response to climate change. The global energy transformation process is accelerating, and new energy represented by wind power and photovoltaic power generation is showing a rapid performance improvement, continuous economic improvement and accelerating application scale expansion trend, forming a world trend of accelerating the replacement of traditional fossil energy. However, the randomness and volatility of renewable energy such as wind power and photovoltaic power generation have brought great challenges to the stability and safety of the power grid. Water electrolysis hydrogen production can be used as a storage unit to smooth the volatility of renewable energy and promote renewable energy consumption. Compared with other energy storage methods, hydrogen energy storage has the advantage of versatility in multiple fields such as chemical industry and energy, and has higher economic benefits. By combining water electrolysis with wind power and solar power generation, the fluctuating power of wind power and solar power can be converted into high-quality and high-calorific green hydrogen. At present, alkaline electrolytic cell as an important water electrolysis hydrogen production technology and equipment has the advantages of low cost and mature technology, and is the only water electrolysis hydrogen production equipment that meets large-scale engineering application at present. However, the traditional alkaline water electrolysis hydrogen production system has the disadvantages of poor dynamic regulation, low efficiency and short service life under fluctuating working conditions. In order to realize stable operation and improve economic benefits, it is necessary to coordinate the capacity configuration optimization and control strategy of the multi-energy complementary system.

[0003] At present, the manufacturing level of alkaline electrolytic cell single unit is still at the level of hundreds of kilowatts to megawatts, and multiple single electrolytic cells are generally connected in parallel to form an electrolytic cell array in large-scale hydrogen production engineering applications. Theoretical research shows that the control strategy of the electrolytic cell is an important factor affecting the service life of the electrolytic cell array. Current control strategy researches on renewable energy and electrolytic cell hydrogen production systems are mostly considered and designed from the perspective of the whole electrolytic cell array, and the electrolytic cell array is combined with other traditional energy storage devices to smooth the fluctuation of renewable energy under grid-connected state or directly consume renewable energy under off-grid state, and the characteristics of the electrolytic cell device are not fully tapped from each single unit of the electrolytic cell array. If the coordinated control strategy between the electrolytic cell single units is too simple, it will cause the number of start-stop of each electrolytic cell single unit to be too much and the time of continuous operation under fluctuating power to be too long.

[0004] In view of the previous research on the characteristics of the alkaline electrolytic cell is relatively rough, the working condition is simple, the application provides a kind of off-grid type wind and light power generation hydrogen wheel stop control and capacity configuration optimization method and system.Combining the start-stop characteristics and working constraints of the alkaline electrolytic cell, the following five kinds of electrolytic cell operation modes are constructed by the method of power interval division: normal working mode, overload mode, hot standby mode, cold start mode and shutdown mode.Based on the wind and light power generation power and the battery capacity, the hydrogen production power of different electrolytic cell units is reasonably distributed by using the wheel stop control strategy, so that the working time and load of each electrolytic cell unit are more balanced, and the problem of "uneven work" of each single body of electrolytic cell array is solved.The capacity configuration of alkaline electrolytic cell and battery is considered as optimization decision variable, and the unit hydrogen production cost is considered as the objective function of capacity configuration optimization to realize the minimization, so as to improve the economy and practicability of wind and light hydrogen production system. SUMMARY

[0005] In view of the above existing problems, the application is proposed.

[0006] Therefore, the application provides a hydrogen wheel stop control and capacity configuration optimization method, system, device and medium to solve the problem of "uneven work" of each single body of electrolytic cell array.

[0007] To solve the above technical problems, the application provides the following technical solutions:

[0008] In the first aspect, the application provides a hydrogen wheel stop control and capacity configuration optimization method, including the following steps:

[0009] According to the start-stop characteristics and working constraints of the alkaline electrolytic cell, a plurality of electrolytic cell operation modes are constructed by power interval division;

[0010] Through the electrolytic cell operation mode, the hydrogen production power of different electrolytic cell units is distributed by using the wheel stop control strategy, and the battery is cooperatively controlled to form a system operation control strategy;

[0011] Through the system operation control strategy, the capacity configuration of alkaline electrolytic cell and battery is optimized with the minimization of unit hydrogen production cost as the target.

[0012] As a preferred scheme of the hydrogen wheel stop control and capacity configuration optimization method, the wheel stop control strategy includes:

[0013] The total hydrogen production power of electrolytic cell is calculated;

[0014] The total hydrogen production power of electrolytic cell is compared with the rated hydrogen production power of single cell;

[0015] According to the comparison result, the hydrogen production power of each electrolytic cell unit is distributed according to priority order.

[0016] The beneficial effects of the preferred technical solution are: reasonable allocation of electrolytic tank power, avoiding single unit overload or no load.

[0017] As a preferred scheme of the hydrogen wheel stop control and capacity configuration optimization method, wherein: the hydrogen production power distribution includes:

[0018] determining whether the total hydrogen production power of the electrolytic tank is less than k times the single tank rated hydrogen production power;

[0019] When it is less than, the hydrogen production power of the first k-1 electrolytic tank units is set to the single tank rated hydrogen production power;

[0020] The hydrogen production power of the kth electrolytic tank unit is calculated as the total hydrogen production power of the electrolytic tank minus k-1 times the single tank rated hydrogen production power;

[0021] The hydrogen production power of the remaining electrolytic tank units is set to 0.

[0022] The beneficial effects of the preferred technical solution are: ensure that the electrolytic tank is started in order according to priority, realize load balancing, and prolong the service life of the equipment.

[0023] As a preferred scheme of the hydrogen wheel stop control and capacity configuration optimization method, wherein: the step of cooperatively controlling the battery includes:

[0024] Calculate the difference between the total wind and light output power and the total hydrogen production power of the electrolytic tank;

[0025] Determine the positive or negative of the difference;

[0026] When the difference is positive, control the battery to charge with the difference;

[0027] When the difference is negative, control the battery to discharge with the absolute value of the difference;

[0028] Monitor the battery SOC and keep it within a preset range.

[0029] The beneficial effects of the preferred technical solution are: to suppress wind and light power fluctuations, improve renewable energy utilization, and ensure stable operation of the system.

[0030] As a preferred scheme of the hydrogen wheel stop control and capacity configuration optimization method, wherein: the step of constructing multiple electrolytic tank operation modes includes:

[0031] When the hydrogen production power of each electrolytic tank unit is greater than A% of the single tank rated hydrogen production power, determine whether it is greater than the single tank rated hydrogen production power, if it is less than or equal to, it is determined as normal working mode, if it is greater than, it is determined as overload mode;

[0032] When the hydrogen production power of each electrolyzer unit is greater than B% of the rated hydrogen production power of a single cell and less than or equal to A%, it is determined to be in hot standby mode;

[0033] When the hydrogen production power of each electrolyzer unit is greater than C% of the rated hydrogen production power of a single cell and less than or equal to B%, it is determined to be in cold start mode;

[0034] When the hydrogen production power of each electrolyzer unit is less than or equal to C% of the rated hydrogen production power of a single cell, it is determined to be in shutdown mode.

[0035] The beneficial effects of this preferred technical solution are: accurately controlling the working state of the electrolytic cell and improving the system's dynamic adjustment capability and operating efficiency.

[0036] As a preferred solution of the hydrogen wheel stop control and capacity configuration optimization method of the present invention, the capacity configuration optimization step includes:

[0037] Establish a capacity configuration optimization model with minimization of unit hydrogen production cost as the objective function;

[0038] Set the alkaline electrolyzer capacity and battery capacity as optimization decision variables;

[0039] The particle swarm algorithm is used for solution;

[0040] Repeat the iteration until the termination condition is reached and output the optimal capacity configuration plan.

[0041] As a preferred solution of the hydrogen cycle shutdown control and capacity configuration optimization method of the present invention, the electrolyzer operation mode includes at least:

[0042] Normal operation mode, overload mode, hot standby mode, cold start mode and shutdown mode.

[0043] In a second aspect, the present invention provides a hydrogen wheel stop control and capacity configuration optimization system, including:

[0044] In a third aspect, the present invention provides an electronic device comprising an alkaline electrolyzer operation mode construction module, a rotation stop control strategy module, and a capacity configuration optimization module;

[0045] The alkaline electrolytic cell operation mode construction module constructs multiple electrolytic cell operation modes by power interval division according to the start-stop characteristics and working constraints of the alkaline electrolytic cell;

[0046] The rotation stop control strategy module allocates the hydrogen production power of different electrolyzer units using the rotation stop control strategy according to the electrolyzer operation mode, and performs coordinated control in combination with the battery to form a system operation control strategy;

[0047] The capacity configuration optimization module runs a system operation control strategy to optimize the capacity configuration of the alkaline electrolytic cell and the battery with the minimum unit hydrogen production cost as the target

[0048] a memory and a processor;

[0049] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions, which realize the steps of the hydrogen cycle stop control and capacity configuration optimization method.

[0050] In a fourth aspect, the present application provides a computer readable storage medium storing computer executable instructions, which realize the steps of the hydrogen cycle stop control and capacity configuration optimization method when executed by a processor.

[0051] Compared with the prior art, the present application has the following beneficial effects: the capacity configuration of the off-grid wind-solar power generation hydrogen production system can be optimized, five electrolytic cell operation modes are constructed by the power interval division method, the characteristics of the electrolytic cell device are fully tapped from each single electrolytic cell in the electrolytic cell array, the hydrogen production power of different electrolytic cell units is reasonably distributed by using the cycle stop control strategy, the working time and load condition of each electrolytic cell unit can be more balanced, and the problem of "uneven work" of each single electrolytic cell in the electrolytic cell array is solved. Considering the economy of the wind-solar hydrogen production system, the capacity configuration of the alkaline electrolytic cell and the battery is taken as the optimization decision variable, and the minimum unit hydrogen production cost is taken as the objective function of the capacity configuration optimization, thereby improving the economic benefit and practicability of the wind-solar hydrogen production system and helping the efficient utilization and green development of renewable energy. BRIEF DESCRIPTION OF DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0053] Figure 1 The overall flowchart of the hydrogen cycle stop control and capacity configuration optimization method according to an embodiment of the present application.

[0054] Figure 2 The structure diagram of the hydrogen cycle stop control and capacity configuration optimization method according to an embodiment of the present application.

[0055] Figure 3 The capacity configuration optimization algorithm diagram of the hydrogen cycle stop control and capacity configuration optimization method according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should fall within the scope of protection of the present application.

[0057] Embodiment 1, refer to Figure 1 For an embodiment of the present application, a hydrogen wheel stop control and capacity configuration optimization method is provided, comprising the following steps S1-S3:

[0058] S1, according to the start-stop characteristics and working constraints of the alkaline electrolyzer, a plurality of electrolyzer operation modes are constructed by power interval division;

[0059] S2, through the electrolyzer operation mode, a wheel stop control strategy is adopted to allocate the hydrogen production power of different electrolyzer units, and the battery is cooperatively controlled to form a system operation control strategy;

[0060] S3, through the system operation control strategy, the capacity configuration of the alkaline electrolyzer and the battery is optimized with the goal of minimizing the unit hydrogen production cost.

[0061] It should be noted that in the renewable energy hydrogen production system, the operating conditions of the electrolyzer are complex and changeable. The start-stop process of the alkaline electrolyzer involves complex physical and chemical reactions, and its start-stop characteristics have an important influence on the stability and hydrogen production efficiency of the system. At the same time, the electrolyzer is subject to various working constraints during operation, such as temperature, pressure, current density, etc. These constraint conditions limit the operating range and performance of the electrolyzer. Due to the intermittency and volatility of renewable energy, the input power of the electrolyzer will change constantly, which makes it difficult for a single electrolyzer to operate stably and produce hydrogen efficiently. In addition, in actual operation, if the hydrogen production power distribution of the electrolyzer is not reasonable, it will cause some electrolyzers to be overloaded and damaged, while other electrolyzers are not fully utilized, thereby reducing the efficiency and economy of the entire system.

[0062] The battery, as an energy storage device, can provide or absorb electrical energy when the power of the electrolyzer fluctuates, playing a role in buffering and stabilizing the system voltage. However, the charging and discharging characteristics of the battery itself and the cooperative control strategy with the electrolyzer also need to be accurately designed and optimized. At present, in the renewable energy hydrogen production system, there are still many problems in the joint control and capacity configuration optimization of the alkaline electrolyzer and the battery, such as the inability to accurately allocate power according to the operating characteristics of the electrolyzer, the inability to fully consider the cooperative action of the battery, and the inability to determine the optimal capacity configuration of the electrolyzer and the battery in an economical and efficient manner.

[0063] Therefore, in order to solve the operation control and capacity configuration problems, through steps S1-S3, the start-stop characteristics and working constraints of the alkaline electrolyzer are analyzed in depth, various operation modes are constructed to adapt to different power input conditions, a round-robin control strategy is used to reasonably allocate hydrogen production power, and the round-robin control strategy is cooperated with the battery to form a stable and reliable system operation control strategy, and finally the capacity of the alkaline electrolyzer and the battery is accurately optimized with the minimum unit hydrogen production cost as the target. In this way, the overall performance and economy of the renewable energy hydrogen production system can be improved, efficient and stable production of hydrogen can be realized, the service life of the equipment can be prolonged, and the operation and maintenance cost of the system can be reduced, which is of great significance for promoting the development of the renewable energy hydrogen production industry.

[0064] Embodiment 2, with reference to Figures 1 to 3 For an embodiment of the present application, based on the above embodiment, a hydrogen round-robin control and capacity configuration optimization method is provided.

[0065] In the embodiments of the present application, in step S1, the step of constructing various electrolyzer operation modes includes A1-A4:

[0066] A1, when the hydrogen production power of each electrolyzer unit is greater than A% of the single-cell rated hydrogen production power, it is determined whether it is greater than the single-cell rated hydrogen production power, if it is less than or equal to, it is determined as a normal working mode, if it is greater, it is determined as an overload mode;

[0067] Specifically, in step A1, the power interval of the normal working mode is 20%-100% of the single-cell rated hydrogen production power, the electrolysis efficiency of the electrolyzer is higher in this mode, the hydrogen production increases with the increase of the power, and the marginal cost of hydrogen production decreases, which is the optimal working interval of the electrolyzer; the power interval of the overload mode is 100%-130% of the single-cell rated hydrogen production power, the alkaline electrolyzer can run for a short time in this mode, but in order to avoid damaging the stack material, the running time is generally not more than 1 hour.

[0068] A2, when the hydrogen production power of each electrolyzer unit is greater than B% and less than or equal to A% of the single-cell rated hydrogen production power, it is determined as a hot standby mode;

[0069] Specifically, in step A2, the power interval of the hot standby mode is 5%-20% of the single-cell rated hydrogen production power, in this mode, the electrolyzer does not produce hydrogen but consumes power to maintain the necessary start-up temperature and pressure loss, and can realize rapid conversion with the normal working mode. When in the hot standby state, due to thermal hysteresis, the start-up transition time is about 1-5 minutes.

[0070] A3, when the hydrogen production power of each electrolyzer unit is greater than C% and less than or equal to B% of the single-cell rated hydrogen production power, it is determined as a cold start mode;

[0071] Specifically, the power range of the cold start mode in step A3 is 1% to 5% of the single-tank rated hydrogen production power. In this mode, the electrolytic tank does not produce gas, and the power consumption is used to maintain the basic low energy consumption of the control unit and the circulating system. In the cold start mode, the start-up transition time is about 60 minutes. Frequent temperature changes of the electrolytic tank during frequent start-stop of the electrolytic tank can reduce the service life of the sealing material of the electrolytic tank, and therefore, frequent start-stop of the electrolytic tank should be avoided.

[0072] A4, when the hydrogen production power of each electrolytic tank unit is less than or equal to C% of the single-tank rated hydrogen production power, it is determined to be in the shutdown mode.

[0073] Specifically, in step A4, the power consumption of the electrolytic tank in the shutdown mode is less than or equal to 1% of the single-tank rated hydrogen production power, the electrolytic tank stops working, the entire system cools down, and the circulation stops. When the electrolytic tank needs to be restarted for normal operation, it generally takes 1-2 hours of start-up time.

[0074] It should also be understood that the electrolytic tank operating mode at least includes: normal working mode, overload mode, hot standby mode, cold start mode and shutdown mode.

[0075] For example, assuming that the single-tank rated hydrogen production power is 1000kW, the power range of each operating mode is specifically:

[0076] Normal working mode: 200kW1000kW;

[0077] Overload mode: 1000kW1300kW;

[0078] Hot standby mode: 50kW200kW;

[0079] Cold start mode: 10kW50kW;

[0080] Shutdown mode: ≤10kW.

[0081] It should be noted that this mode division method is preferred because its core logic is based on the start-stop characteristics and working constraints of the alkaline electrolytic tank. Through the power range division method, the operating state of the electrolytic tank can be accurately controlled, and the dynamic adjustment capability and efficiency of the system can be improved. This mode division avoids the problem that the traditional control strategy is relatively rough in dealing with the characteristics of the alkaline electrolytic tank and the working condition division is simple. The characteristics of the electrolytic tank device are fully tapped from each single unit of the electrolytic tank array.

[0082] In an alternative embodiment, the step S1 of constructing multiple electrolytic tank operating modes can also be based on the temperature characteristics of the electrolytic tank for mode division. In combination with the internal temperature monitoring of the electrolytic tank, when the temperature of the electrolytic tank is lower than the set threshold, it is automatically switched to the hot standby mode or the cold start mode, to ensure that the electrolytic tank is always in the most suitable working state.

[0083] In another alternative embodiment, the plurality of electrolyzer operation modes constructed in step S1 can also be dynamically adjusted based on the efficiency curve of the electrolyzer, by monitoring the hydrogen production efficiency of the electrolyzer in real time, when the efficiency is lower than the set threshold, the boundary value of the power interval division is automatically adjusted, the power range of each operation mode is optimized, and the maximum operation efficiency of the electrolyzer is realized.

[0084] In the embodiments of the present application, in step S2, the wheel stop control strategy comprises:

[0085] B1, calculate the total hydrogen production power of the electrolyzer;

[0086] Specifically, the calculation formula of the total hydrogen production power of the electrolyzer in step B1 is:

[0087] P total = P wind (t) + P solar (t) + P battery_discharge (t) - P battery_charge (t);

[0088] In the formula, P total is the total hydrogen production power of the electrolyzer; P wind (t) is the wind power generation power; P solar (t) is the solar power generation power; P battery_discharge (t) is the battery discharge power; and P battery_charge (t) is the battery charging power.

[0089] B2, compare the total hydrogen production power of the electrolyzer with the rated hydrogen production power of a single cell;

[0090] Specifically, in step B2, the total hydrogen production power of the electrolyzer is compared with the rated hydrogen production power of a single cell to determine the number of electrolyzers to be started. When P total < P rated , all electrolyzers are proportionally allocated power; when P total ≥ k·P rated , the first k electrolyzers are given priority to obtain rated power.

[0091] B3, allocate the hydrogen production power of each electrolyzer unit according to the priority order according to the comparison result.

[0092] Among them, the hydrogen production power allocation includes B3.1-B3.4:

[0093] B3.1, determine whether the total hydrogen production power of the electrolyzer is less than k times the rated hydrogen production power of a single cell;

[0094] B3.2, when it is less than k-1, the hydrogen production power of the first electrolyzer unit is set to the rated hydrogen production power of a single cell;

[0095] B3.3, the hydrogen production power of the kth electrolyzer unit is calculated as the total hydrogen production power of the electrolyzers minus (k-1) times the single-cell rated hydrogen production power;

[0096] B3.1, the hydrogen production power of the remaining electrolyzer units is set to 0.

[0097] Specifically, the specific implementation of the step B3.1-B3.4 of the round stop control strategy is as follows:

[0098] When P total < P rated , the hydrogen production power of the N electrolyzers is P i = P total / N.

[0099] When P rated ≤ P total < 2P rated , the hydrogen production power of the first electrolyzer is P1=P rated , and the hydrogen production power of the remaining electrolyzers is P i =(P total -P rated ) / (N-1).

[0100] When kP rated ≤ P total <(k+1)P rated , the hydrogen production power of the first k electrolyzers is P rated , the hydrogen production power of the (k+1)th electrolyzer is P total -k·P rated , and the hydrogen production power of the remaining electrolyzers is 0.

[0101] For example, assuming that 5 electrolyzers are configured, the single-cell rated hydrogen production power is 1000 kW, and the current total hydrogen production power of the electrolyzers is 3500 kW:

[0102] Step B3.1: determine whether 3500 kW is less than 4x1000 kW=4000 kW, and the result is yes;

[0103] Step B3.2: the hydrogen production power of the first 3 electrolyzer units is set to 1000 kW;

[0104] Step B3.3: the hydrogen production power of the 4th electrolyzer unit is calculated as 3500 kW-3x1000 kW=500 kW;

[0105] Step B3.4: the hydrogen production power of the 5th electrolyzer unit is set to 0.

[0106] It should be noted that the core logic of the wheel stop control strategy is to start the electrolytic cell unit by priority order, so that the working time and load of each electrolytic cell unit are more balanced, and the problem of "uneven work" of each single electrolytic cell array is solved. Through this distribution mode, the number of electrolytic cell start-stop can be reduced, the service life of the equipment can be prolonged, and the stable operation of the system in the wind and light power fluctuation can be ensured.

[0107] In an alternative embodiment, the wheel stop control strategy in step S2 can also be dynamically adjusted based on the running time of the electrolytic cell. By recording the cumulative running time of each electrolytic cell unit, the electrolytic cell with shorter running time is preferentially selected for starting, so as to realize the equalization of the running time of each electrolytic cell unit.

[0108] In another alternative embodiment, the wheel stop control strategy in step S2 can also be optimized and distributed in combination with the health status of the electrolytic cell. By monitoring the efficiency, temperature, vibration and other parameters of each electrolytic cell unit, the electrolytic cell with good health status is preferentially selected to undertake the hydrogen production task, so as to avoid the overuse of the faulty electrolytic cell and improve the overall reliability of the system.

[0109] In the embodiments of the present application, in step S2, the step of cooperatively controlling the battery comprises C1-C3:

[0110] C1, calculating the difference between the total wind and light output power and the total hydrogen production power of the electrolytic cell;

[0111] C2, judging the positive or negative of the difference;

[0112] When the difference is positive, the battery is controlled to be charged by the difference;

[0113] When the difference is negative, the battery is controlled to be discharged by the absolute value of the difference;

[0114] C3, monitoring the SOC of the battery and keeping it within a preset range.

[0115] Specifically, in step C1, the calculation formula of the difference between the total wind and light output power and the total hydrogen production power of the electrolytic cell is:

[0116] ΔP(t)=P wind (t)+P solar (t)-P electrolyzer (t);

[0117] In the formula, ΔP(t) is the power difference; P wind (t) is the wind power; P solar (t) is the solar power; P electrolyzer (t) is the total hydrogen production power of the electrolytic cell.

[0118] Specifically, in step C2, the battery charging and discharging control strategy is:

[0119] When ΔP(t) > 0:

[0120] P charge (t) = ΔP(t);

[0121] P discharge (t) = 0;

[0122] When ΔP(t) < 0:

[0123] P charge (t) = 0;

[0124] P discharge (t) = |ΔP(t) |;

[0125] When ΔP(t) = 0:

[0126] P charge (t) = 0;

[0127] P discharge (t) = 0;

[0128] Specifically, the battery SOC control strategy in step C3 is:

[0129]

[0130] wherein SOC(t) is the battery state of charge at time t; η charge is the charging efficiency; η discharge is the discharging efficiency; C battery is the battery capacity; and Δt is the time step.

[0131] Meanwhile, the battery SOC needs to satisfy the constraint condition:

[0132] SOC min ≤ SOC(t) ≤ SOC max ;

[0133] wherein SOC min = 20% and SOC max = 80%.

[0134] When SOC(t) ≥ 80%, the charging is stopped, and the excess wind and light power is abandoned;

[0135] When SOC(t) ≤ 20%, the discharging is stopped, and the total hydrogen production power of the electrolyzer needs to be reduced accordingly.

[0136] For example, assuming that the total wind and light output power at a certain time is 2500 kW, the total hydrogen production power of the electrolyzer is 3000 kW, the battery capacity is 1000 kWh, and the current SOC is 50%:

[0137] Step C1: Calculate the power difference ΔP = 2500-3000 = -500kW;

[0138] Step C2: Determine that the difference is negative, control the battery to discharge at 500kW;

[0139] Step C3: Update the SOC, if discharging for 1 hour, then But since the SOC cannot be lower than 20%, the actual discharge power needs to be limited to 300kW.

[0140] It should be noted that the core logic of the battery cooperative control strategy is to smooth the wind-solar power fluctuation through the charging and discharging operation of the battery, improve the renewable energy utilization rate, and ensure the stable operation of the system. When the wind-solar output is greater than the hydrogen production demand, the excess power is used for battery charging; when the wind-solar output is insufficient, the battery discharges to supplement the electrolyzer hydrogen production power, achieving power balance between wind-solar power generation and hydrogen production system.

[0141] In an alternative embodiment, the battery cooperative control in step S2 can also be optimized based on electricity price information, and the battery is discharged preferentially when the electricity price is high, and the battery is charged preferentially when the electricity price is low, combined with the time electricity price mechanism to reduce the system operation cost.

[0142] In another alternative embodiment, the battery cooperative control in step S2 can also be combined with weather forecast information for forward-looking control, according to the future 24-hour wind-solar power prediction, to adjust the battery SOC state in advance, reserve charging and discharging capacity for expected wind-solar power fluctuation, and improve the system's ability to cope with power fluctuation.

[0143] In the embodiments of the present application, in step S3, the capacity configuration optimization step includes D1-D4:

[0144] D1, establish a capacity configuration optimization model with the minimum unit hydrogen production cost as the objective function;

[0145] Specifically, the objective function of the capacity configuration optimization model is:

[0146]

[0147] In the formula, is the unit hydrogen production cost (yuan / kg); I total is the total initial investment cost of the equipment (yuan); CRF is the equipment investment coefficient; O&M total is the full life cycle operation and maintenance cost (yuan); H total is the electrolyzer hydrogen production amount (kg) in the full life cycle.

[0148] Wherein, the calculation formula of the equipment investment coefficient CRF is:

[0149]

[0150] where r is the discount rate; n is the number of years in the full life cycle.

[0151] The total initial investment cost of the equipment is:

[0152] I total = I electrolyzer + I battery = C e × N e × P rated + C b × C battery ;

[0153] where I electrolyzer is the investment cost of the electrolyzer; I battery is the investment cost of the battery; C e is the unit electrolyzer investment cost (yuan / kW); N e is the number of electrolyzers; P rated is the single-tank rated hydrogen production power; C b is the unit battery investment cost; C battery is the battery capacity.

[0154] D2, set the alkaline electrolyzer capacity and battery capacity as optimization decision variables;

[0155] Specifically, the optimization decision variables are set as:

[0156] X = [N e , C battery ] T ;

[0157] The constraint conditions are:

[0158] N e,min ≤ N e ≤ N e,max ;

[0159] C battery,min ≤ C battery ≤ C battery,max ;

[0160] where N e,min , N e,max are the minimum and maximum values of the number of electrolyzers, respectively; C battery,min , C battery,max are the minimum and maximum values of the battery capacity, respectively.

[0161] D3, use the particle swarm algorithm for solution;

[0162] Specifically, the implementation of the particle swarm algorithm in D3 includes the following steps:

[0163] D3.1: Randomly initialize the particle swarm in the initialization range:

[0164]

[0165] D3.2: Calculate the fitness value of each particle:

[0166]

[0167] D3.3: Update the individual historical optimal position of the particle:

[0168]

[0169] D3.4: Update the historical optimal position of the particle swarm:

[0170]

[0171] D3.5: Update the speed and position of the particle:

[0172]

[0173] where w is the inertia weight; c1 and c2 are learning factors; rand() is a random number between 0 and 1.

[0174] D4, repeat iteration until the termination condition is reached, output the optimal capacity configuration scheme.

[0175] The termination condition is set as:

[0176] Stop iteration when any of the following conditions are met:

[0177] 1. Reach the maximum number of iterations: ≥t max ;

[0178] 2. Fitness value converges: where k = 10 and ε = 10 -6 .

[0179] For example, assume that the parameter settings of a wind-to-hydrogen system are as follows:

[0180] Unit electrolyzer investment cost C e = 3000, unit battery investment cost C b = 1200 yuan / kWh, single-cell rated hydrogen production power P rated = 1000 kW, discount rate r = 8%, and full life cycle n = 20 years.

[0181] Optimization result: Optimal number of electrolyzers Optimal battery capacity Corresponding unit hydrogen production cost Yuan / kg.

[0182] It should be noted that the core logic of this capacity configuration optimization model is to find the electrolyzer and battery capacity combination that minimizes the unit hydrogen production cost by balancing equipment investment costs with operating returns. The particle swarm optimization algorithm simulates the foraging behavior of bird flocks to search for the global optimal solution in the solution space. It has the advantages of fast convergence and strong global search capabilities, making it suitable for multivariable nonlinear optimization problems.

[0183] In an optional implementation, the capacity configuration optimization in step S3 may also be solved using a genetic algorithm, which searches for the optimal solution in the solution space through operations such as selection, crossover, and mutation, and has strong global search capabilities and robustness.

[0184] In another optional embodiment, the capacity configuration optimization in step S3 can also be combined with a multi-objective optimization method, taking both economic indicators and environmental indicators as optimization objectives, such as maximizing the utilization rate of renewable energy while minimizing the unit hydrogen production cost, and obtaining multiple non-inferior solutions through the Pareto front, providing decision makers with more options.

[0185] In summary, the capacity configuration of the off-grid wind-solar power generation hydrogen production system can be optimized, and five electrolyzer operation modes are constructed by dividing the power interval. Starting from each monomer of the electrolyzer array, the characteristics of the electrolyzer device are fully explored, and the rotation control strategy is adopted to reasonably allocate the hydrogen production power of different electrolyzer units. This can make the working time and load of each electrolyzer unit more balanced, and solve the problem of "uneven work" of each monomer in the electrolyzer array. Considering the economic efficiency of the wind-solar hydrogen production system, the capacity configuration of the alkaline electrolyzer and the battery is used as the optimization decision variable, and the minimization of the unit hydrogen production cost is used as the objective function of the capacity configuration optimization, so as to improve the economic benefits and practicality of the wind-solar hydrogen production system, and contribute to the efficient utilization of renewable energy and green development.

[0186] Example 3. The above is a schematic scheme of a method for hydrogen turbine shutdown control and capacity configuration optimization. It should be noted that the technical solution of this hydrogen turbine shutdown control and capacity configuration optimization system and the technical solution of the aforementioned hydrogen turbine shutdown control and capacity configuration optimization method are based on the same concept. For details not described in detail in the technical solution of the hydrogen turbine shutdown control and capacity configuration optimization system in this embodiment, please refer to the description of the technical solution of the aforementioned hydrogen turbine shutdown control and capacity configuration optimization method.

[0187] This embodiment also provides a hydrogen rotational shutdown control and capacity configuration optimization system, including an alkaline electrolyzer operation mode construction module, a rotational shutdown control strategy module, and a capacity configuration optimization module;

[0188] The alkaline electrolyzer operation mode construction module constructs multiple electrolyzer operation modes through power interval division according to start-stop characteristics and working constraints of the alkaline electrolyzer;

[0189] The wheel-stop control strategy module allocates hydrogen production power of different electrolyzer units by using a wheel-stop control strategy through the electrolyzer operation mode, and performs collaborative control in combination with the battery to form a system operation control strategy.

[0190] The capacity configuration optimization module optimizes capacity configuration of the alkaline electrolyzer and the battery by taking minimization of unit hydrogen production cost as a target through the system operation control strategy.

[0191] The embodiment also provides an electronic device suitable for hydrogen wheel-stop control and capacity configuration optimization, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize the hydrogen wheel-stop control and capacity configuration optimization method proposed in the above embodiment.

[0192] The embodiment also provides a storage medium having a computer program stored thereon, and the program is executed by a processor to realize the hydrogen wheel-stop control and capacity configuration optimization method proposed in the above embodiment.

[0193] The storage medium proposed in the embodiment and the hydrogen wheel-stop control and capacity configuration optimization method proposed in the above embodiment belong to the same inventive concept, and the technical details not described in the embodiment can be referred to the above embodiment, and the embodiment and the above embodiment have the same beneficial effects.

[0194] From the above description of the embodiments, those skilled in the art can clearly understand that the present application can be realized by means of software and necessary general hardware, and of course can also be realized by hardware. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, and the computer software product can be stored in a computer readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a FLASH memory, a hard disk, or an optical disk, and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods of various embodiments of the present application.

[0195] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not to limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

Claims

1. A method for hydrogen turbine shutdown control and capacity configuration optimization, characterized in that: The following steps are involved: According to the start-stop characteristics and working constraints of the alkaline electrolyzer, multiple electrolyzer operation modes are constructed through power interval division; Through the electrolyzer operation mode, a rotation stop control strategy is adopted to allocate the hydrogen production power of different electrolyzer units, and combined with the battery for coordinated control to form a system operation control strategy; By adopting the system operation control strategy, the capacity configuration of the alkaline electrolyzer and the battery is optimized with the goal of minimizing the unit hydrogen production cost.

2. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 1, characterized in that: The wheel stop control strategy includes: Calculate the total hydrogen production power of the electrolyzer; Compare the total hydrogen production power of the electrolyzer with the rated hydrogen production power of a single cell; The hydrogen production power of each electrolyzer unit is allocated in order of priority based on the comparison results.

3. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 2, characterized in that: The hydrogen production power allocation includes: Determine whether the total hydrogen production power of the electrolyzer is less than k times the rated hydrogen production power of a single cell; If it is less than, the hydrogen production power of the first k-1 electrolyzer units is set to the rated hydrogen production power of a single cell; The hydrogen production power of the kth electrolyzer unit is calculated as the total hydrogen production power of the electrolyzer minus k-1 times the rated hydrogen production power of the single cell; The hydrogen production power of the remaining electrolyzer units is set to 0.

4. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 3, characterized in that: The steps of performing coordinated control of the batteries include: Calculate the difference between the total wind and solar power output and the total hydrogen production power of the electrolyzer; Determining whether the difference is positive or negative; When the difference is positive, the battery is controlled to be charged with the difference; When the difference is negative, the battery is controlled to discharge at the absolute value of the difference; Monitor the battery SOC and keep it within the preset range.

5. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 4, characterized in that: The steps of establishing a plurality of electrolytic cell operation modes include: When the hydrogen production power of each electrolyzer unit is greater than A% of the rated hydrogen power of a single cell, determine whether it is greater than the rated hydrogen power of a single cell. If it is less than or equal to, it is determined to be a normal working mode; if it is greater, it is determined to be an overload mode; When the hydrogen production power of each electrolyzer unit is greater than B% of the rated hydrogen production power of a single cell and less than or equal to A%, it is determined to be in hot standby mode; When the hydrogen production power of each electrolyzer unit is greater than C% of the rated hydrogen production power of a single cell and less than or equal to B%, it is determined to be in cold start mode; When the hydrogen production power of each electrolyzer unit is less than or equal to C% of the rated hydrogen production power of a single cell, it is determined to be in shutdown mode.

6. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 5, characterized in that: The capacity configuration optimization step includes: Establish a capacity configuration optimization model with minimization of unit hydrogen production cost as the objective function; Set the alkaline electrolyzer capacity and battery capacity as optimization decision variables; The particle swarm algorithm is used for solution; Repeat the iteration until the termination condition is reached and output the optimal capacity configuration plan.

7. The hydrogen turbine shutdown control and capacity configuration optimization method according to claim 1 or 5, characterized in that: The electrolyzer operation mode includes at least: Normal operation mode, overload mode, hot standby mode, cold start mode and shutdown mode.

8. A hydrogen turbine shutdown control and capacity configuration optimization system, applying the method according to any one of claims 1 to 7, characterized in that: It includes alkaline electrolyzer operation mode construction module, rotation stop control strategy module, and capacity configuration optimization module; The alkaline electrolytic cell operation mode construction module constructs multiple electrolytic cell operation modes by power interval division according to the start-stop characteristics and working constraints of the alkaline electrolytic cell; The rotation stop control strategy module uses the rotation stop control strategy to allocate the hydrogen production power of different electrolyzer units according to the electrolyzer operation mode, and performs coordinated control in combination with the battery to form a system operation control strategy; The capacity configuration optimization module optimizes the capacity configuration of the alkaline electrolyzer and the battery through the system operation control strategy with the goal of minimizing the unit hydrogen production cost.

9. An electronic device comprising: memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the hydrogen wheel stop control and capacity configuration optimization method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, implement the steps of the hydrogen wheel stop control and capacity configuration optimization method according to any one of claims 1 to 7.

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