Hybrid hydrogen production system control method and device considering new energy power fluctuation

Abstract

The invention provides a hybrid hydrogen production system control method and device considering new energy power fluctuation, and the method comprises the steps: constructing a new energy hydrogen production micro-grid system model, and collecting historical system operation data based on the model; extracting the output fluctuation characteristics of the system through the data, and marking the fluctuation category of the current output fluctuation process according to the output fluctuation characteristics; and obtaining an operation scene based on the current system operation data, obtaining a power distribution mode of the equipment according to the fluctuation category, the operation scene and the current system operation data, and executing a corresponding power distribution mode on the equipment. In the new energy hybrid hydrogen production system using the alkaline proton exchange membrane electrolytic cell, the adaptive power regulation strategy is obtained by classifying output fluctuation and combining operation scene analysis, so that each device can safely operate in a reasonable interval, the service life of each device is prolonged, and the utilization rate of new energy can be improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a control method and device for a hybrid hydrogen production system taking into account power fluctuations of new energy. Background Art

[0002] Building a new power system with new energy as the main body is one of the main goals of the clean and low-carbon energy transformation, and it is also a key link in achieving low-carbon emission reduction. However, with the large-scale grid-connected operation of new energy represented by wind power and photovoltaic power, the power system faces serious problems such as power imbalance, power fluctuation and flow over-limit. Driven by the carbon reduction target, the gradual increase in the penetration rate of new energy will further aggravate these challenges and bring huge pressure to the safe and stable operation of the energy system.

[0003] The electric-hydrogen coupling system combines the power system and the hydrogen energy system, and produces hydrogen through water electrolysis from excess renewable electricity and stores it for release and use when power is short or demand increases, thereby effectively coping with the intermittent problem of new energy, such as Chinese patent application CN117353318A-A method for combining units of an electric-hydrogen coupling system for flexibility mining of electric hydrogen production, which is based on the three-state start-stop characteristics and nonlinear hydrogen production characteristics of the electric hydrogen production unit, and considers the combined unit combination of traditional generator sets and electric hydrogen production units. The historical data of the output error of new energy is clustered by Gaussian mixture distribution to determine the flexible standby demand of the system, consider the three start-stop states of the electric hydrogen production unit, and obtain the electric hydrogen production operation constraints according to the nonlinear hydrogen production characteristics in the actual electrolysis process. The operation constraints of the power system and the operation constraints of the hydrogen transmission system considering flexible standby are determined respectively, and joint scheduling is performed with the minimum system operation cost as the objective function. Through the combined unit combination of electric hydrogen production units and traditional generator sets, the economic efficiency of the operation of the integrated energy system is improved, the flexible standby potential of electric hydrogen production is fully explored, the output fluctuation of new energy units is reliably responded to, and the operation reliability of the integrated energy system is improved. Therefore, developing and building an electric-hydrogen coupling system and using the flexibility of hydrogen energy to adjust the imbalance of the system can not only improve the utilization rate of new energy, but also enhance the flexibility and resilience of the energy system.

[0004] At present, the mainstream water electrolysis hydrogen production technologies include alkaline water electrolysis (ALK), proton exchange membrane electrolysis (PEM), high temperature solid oxide electrolysis (SOEC) and solid polymer anion exchange membrane electrolysis (AEM). At this stage, ALK water electrolysis technology has been commercialized, and the overall industrial chain is relatively mature. PEM technology is currently in the early stages of commercialization. Benefiting from local policy planning, the industry scale and the trend of localization of the industrial chain are expected to be further strengthened in the future; SOEC and AEM technologies are currently mostly in the research and development and demonstration stage, and only a small number of products are commercialized on a pilot basis.

[0005] Among them, although the ALK electrolyzer has low cost, it has a narrow working range and a long start-up time; the PEM electrolyzer has more advantages than the ALK under fluctuating hydrogen production conditions, but the high cost of PEM leads to low hydrogen production efficiency. At present, some studies have attempted to organically combine ALK and PEM to form a highly reliable and cost-effective hybrid electrolyzer hydrogen production system, but they have not comprehensively considered the characteristics of the ALK electrolyzer's long start-up and shutdown time, high lower limit of the working range, and the PEM electrolyzer's better adaptability to fluctuating conditions, making the system not very economical and possibly causing damage to the electrolyzer.

[0006] Therefore, an energy control strategy that takes into account the fluctuations in renewable energy output and the operating status of the electrolyzer is also needed to reduce the number of starts and stops of the ALK electrolyzer, improve the PEM electrolyzer's absorption rate of fluctuating output, and ensure the economy and stability of the system. Summary of the invention

[0007] In view of the problems existing in the prior art, the present invention provides a control method and device for a hybrid hydrogen production system taking into account power fluctuations of new energy.

[0008] To achieve the above purpose, the technical solution adopted by the present invention is as follows:

[0009] In one aspect, the present invention provides a control method for a hybrid hydrogen production system taking into account power fluctuations of new energy sources, comprising the following steps:

[0010] Construct a new energy hydrogen production microgrid system model using alkaline proton exchange membrane hybrid electrolyzer;

[0011] Collect historical system operation data based on the new energy hydrogen production microgrid system model;

[0012] Extracting the output fluctuation characteristics of the new energy hydrogen production microgrid system through the historical system operation data, and marking the fluctuation category of the output fluctuation process of the current new energy hydrogen production microgrid system according to the output fluctuation characteristics;

[0013] Based on the current system operation data, an operation scenario of the new energy hydrogen production microgrid system is obtained;

[0014] According to the fluctuation category, the operation scenario and the current system operation data, a power allocation mode of at least one type of equipment in the new energy hydrogen production microgrid system is obtained, and a corresponding power allocation mode is executed for the at least one type of equipment.

[0015] Optionally, the new energy hydrogen production microgrid system includes a wind power generation component, a solar power generation component, an alkaline electrolyzer, a proton exchange membrane electrolyzer, an electric load, an electric energy storage component, a hydrogen storage component, a fuel cell and an Internet interface unit.

[0016] Optionally, the hydrogen storage assembly includes a compressor and a hydrogen storage tank;

[0017] The wind power generation assembly, solar power generation assembly, alkaline electrolyzer, proton exchange membrane electrolyzer, electric energy storage assembly and fuel cell are connected to the system bus;

[0018] The hydrogen storage assembly is connected to the alkaline electrolyzer, the proton exchange membrane electrolyzer and the fuel cell respectively.

[0019] Optionally, the method for constructing the new energy hydrogen production microgrid system model includes:

[0020] The new energy hydrogen production microgrid system is modeled by an energy system modeling method, and a grid topology structure including equipment characteristics is obtained.

[0021] Optionally, the system operation data includes the generated power of the hydrogen production power system, load power information and operation information of system component equipment.

[0022] Optionally, the power generation power of the hydrogen production power supply system includes wind power output value and photovoltaic power output value;

[0023] The load power information includes electric load information and hydrogen load information; the electric load information is the historical load power data of the region, and the hydrogen load information includes the input power and real-time capacity of the alkaline electrolyzer and the proton exchange membrane electrolyzer;

[0024] The operating information of the system component equipment includes the charging and discharging time of the electric energy storage component, the charge state of the electric energy storage component, the charging and discharging power of the electric energy storage component, the real-time status of the compressor, the real-time capacity of the hydrogen storage tank, the discharge power of the fuel cell and the real-time capacity of the fuel cell.

[0025] Optionally, extracting the output fluctuation characteristics of the new energy hydrogen production microgrid system includes:

[0026] Divide the renewable energy output sequence into multiple fluctuation periods based on periodic rules;

[0027] The multiple fluctuation periods are clustered according to a self-organizing map clustering algorithm, and a critical fluctuation rate is obtained.

[0028] Optionally, the method for obtaining the running scenario includes:

[0029] Calculating system operating parameters based on current system operating data, and constructing a first comparison formula group of the system operating parameters according to system operating conditions;

[0030] The operation scenario is obtained through the result of the first comparison formula group and preset conditions.

[0031] Optionally, the power allocation mode calculation method includes:

[0032] Constructing a second comparison formula group based on the fluctuation category, the operation scenario and the current system operation data;

[0033] The power allocation mode is obtained according to the result of the second comparison formula group and a preset condition.

[0034] On the other hand, the present invention also provides a hybrid hydrogen production system control device taking into account the power fluctuation of new energy, which is used to execute the aforementioned hybrid hydrogen production system control method taking into account the power fluctuation of new energy, and the hybrid hydrogen production system control device includes a data acquisition module, a state analysis module and a power control module:

[0035] The data acquisition module is used to collect the operation data and equipment parameters of the new energy hybrid hydrogen production microgrid system;

[0036] The state analysis module is used to: obtain output fluctuations according to the operation data and extract fluctuation characteristics; mark the fluctuation category of the output fluctuation process according to the fluctuation characteristics; calculate the operation scenario of the new energy hydrogen production microgrid system according to the current system operation data; calculate the power allocation mode of at least one type of equipment in the new energy hydrogen production microgrid system according to the fluctuation category, the operation scenario and the current system operation data;

[0037] The power control module is used to control the power allocation of at least part of the devices in the system according to the power allocation mode.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] In the new energy hybrid hydrogen production system using an alkaline proton exchange membrane electrolyzer, the present invention classifies the output fluctuations and combines them with operation scenario analysis to obtain an adaptive power regulation strategy, so that the electrolyzer, the electric energy storage component and the hydrogen fuel cell can all operate safely within a reasonable range, thereby increasing their service life, and being able to improve the utilization rate of new energy, effectively reduce the abandonment of wind and solar power, and meet the development expectations of hydrogen energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in 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 paying creative labor.

[0041] Figure 1 A flowchart of a method in a specific embodiment of the present invention;

[0042] Figure 2 It is a structural diagram of a hybrid hydrogen production system in a specific embodiment of the present invention;

[0043] Figure 3 It is a flow chart of energy scheduling of a hybrid hydrogen production system in a specific embodiment of the present invention;

[0044] Figure 4 It is a flow chart of a hybrid electrolytic cell control method in a specific embodiment of the present invention;

[0045] Figure 5 It is a structural block diagram of a hybrid hydrogen production system control device in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions 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 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 are within the scope of protection of the present invention.

[0047] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0048] It is worth noting that the methods used in the present invention are all conventional methods unless otherwise specified; the raw materials and devices used are all conventional commercially available products, and their sources are not specifically limited unless otherwise specified.

[0049] like Figure 1 As shown, this embodiment provides a hybrid hydrogen production system control method taking into account the power fluctuation of new energy, including the following steps:

[0050] The steps include:

[0051] 1. Build the model;

[0052] Build as Figure 2 As shown, the new energy hydrogen production microgrid system model using alkaline proton exchange membrane hybrid electrolyzer.

[0053] First, the new energy hydrogen production microgrid system of this embodiment includes a wind power generation component, a solar power generation component, an alkaline electrolyzer, a proton exchange membrane electrolyzer, an electric load, an electric energy storage component, a hydrogen storage component, a fuel cell and a networking interface unit. The hydrogen storage component also includes a compressor and a hydrogen storage tank.

[0054] Furthermore, the wind power generation components, solar power generation components, alkaline electrolyzer, proton exchange membrane electrolyzer, electric energy storage components and fuel cells are connected to the system bus; the hydrogen storage components are connected to the alkaline electrolyzer, proton exchange membrane electrolyzer and fuel cell respectively.

[0055] Secondly, the construction method of the microgrid system model based on new energy hydrogen production also includes:

[0056] The new energy hydrogen production microgrid system is modeled through the energy system modeling method, and the grid topology including equipment characteristics is obtained.

[0057] 2. Collect data;

[0058] Based on the new energy hydrogen production microgrid system model, historical system operation data is collected; the system operation data includes the hydrogen production power system power generation power, load power information and system component equipment operation information.

[0059] Among them, the power generation capacity of the hydrogen production power supply system includes wind power output and photovoltaic output; the load power information includes electric load information and hydrogen load information; the electric load information is the historical load power data of the region, and the hydrogen load information includes the input power and real-time capacity of the alkaline electrolyzer and the proton exchange membrane electrolyzer; the operation information of the system component equipment includes the charging and discharging time of the electric energy storage component, the charge state of the electric energy storage component, the charging and discharging power of the electric energy storage component, the real-time status of the compressor, the real-time capacity of the hydrogen storage tank, the discharge power of the fuel cell and the real-time capacity of the fuel cell.

[0060] 3. Classification of wave processes;

[0061] The output fluctuation characteristics of the new energy hydrogen production microgrid system are extracted through historical system operation data, and the fluctuation category of the current new energy hydrogen production microgrid system output fluctuation process is marked according to the output fluctuation characteristics.

[0062] Furthermore, the output fluctuation characteristics of the new energy hydrogen production microgrid system are extracted, including:

[0063] Based on the periodic law, the new energy output sequence is divided into multiple fluctuation cycles; the output power of wind and solar power generation components is composed of multiple ups and downs. Each process from the local minimum to the local maximum, and then from the local maximum to the next local minimum is defined as a wind and solar output fluctuation cycle, and the expression formula is:

[0064]

[0065] Where, {P} is the wind and solar power output sequence; O{P i} is the wind-solar fluctuation sequence; {P min} is the local minimum sequence in the wind and solar power output sequence; {P max} is the local maximum sequence in the wind and solar power output sequence; if the fluctuation is composed of n-point sequences, P1 and P n Assume the starting and ending points of the fluctuation, P k Contribute to the scenery of the kth sequence.

[0066] According to the fluctuation process of wind and solar power output, the self-organizing map (SOM) clustering algorithm is used to classify the fluctuation process of wind and solar power output.

[0067] (1) First, the number of clusters is determined; according to the differences in the amplitude and width of the wind and solar power output fluctuation process, it is divided into four categories: low output fluctuation, small fluctuation, medium fluctuation and large fluctuation.

[0068] (2) Then, the force fluctuation rate is calculated to generate the fluctuation characteristic vector. The formula is:

[0069]

[0070] F=[P max ,P min ,T L ]

[0071] Where P max is a local maximum, P min is a local minimum, T L is the fluctuation duration, y is the output fluctuation rate, and F is the fluctuation characteristic vector.

[0072] (3) The SOM algorithm is a method for data clustering using a neural network model. First, an initialization operation is performed to randomly initialize the weight vector of each neuron on the grid. Each neuron represents a grid unit.

[0073] (4) Input the sample data set D to the input layer and calculate the Euclidean distance between the weight vector of the mapping layer and the input vector. By calculating a neuron with the smallest distance weight vector, a node k is determined, which is called the best matching neuron for the input sample and is denoted as Satisfy the formula:

[0074]

[0075] Where P is the wind and solar power output, N is i is the neuron of the ith node.

[0076] (5) According to the neighborhood function, the best matching neuron k and all its adjacent neuron sets S j (t) and the connection weights between the neurons in the input layer are corrected, where the correction formula is:

[0077] Δw ijw(t) = w ij w(t + 1)-w ij η(t) = η(t)h ki η(t)[P i (t)-w ij (t)]

[0078] where h ki (t) is the neighborhood function of neuron k; η(t) is the learning rate at the t-th step; w ij (t) is the connection weight between the i-th neuron in the input layer and the j-th neuron in the set of the best matching neuron and its adjacent neurons.

[0079] (6) Under the provided new samples, determine whether the obtained result meets the preset requirements. If the algorithm ends, exit the loop; otherwise, return to (4) to continue the above training until all samples are trained.

[0080] (7) According to the wave clustering results, calculate the critical volatility rates y0, y1, and y2 between various waves, where 0 < y0 < y1 < y2 < 1, and obtain the wave processes of each category as shown in Table 1 below:

[0081] Table 1

[0082] Classification Volatility Range Low output fluctuation <![CDATA[0≤y<y0]]> Small fluctuations <![CDATA[y0≤y<y1]]> Medium volatility <![CDATA[y1≤y<y2]]> Big swings <![CDATA[y2≤y≤1]]>

[0083] 4. Obtain the operating scenario

[0084] Based on the current system operation data, obtain the operating scenario of the new energy hydrogen production microgrid system; the method for obtaining the operating scenario includes:

[0085] Calculate the system operation parameters based on the current system operation data, construct the first comparison arithmetic expression group of the system operation parameters, and obtain the operating scenario through the results of the first comparison arithmetic expression group and the preset conditions. Specifically, Figure 3 This is the flowchart of the energy scheduling of the hybrid hydrogen production system in this embodiment. P ne is the new energy output in a certain area, P load is the load data, P net is the system net power, is the maximum absorbable electric power of the electrolyzer, is the maximum power generation of the fuel cell, SOC is the state of charge of the battery module, SOC max and SOC min are the upper and lower limit restrictions of the state of charge of the battery module, respectively. The steps specifically include:

[0086] Judge the operating scenario of the entire system. The derivation steps of the first comparison arithmetic expression group and the operating scenario preset conditions are as follows:

[0087] (a1) Calculate the system net power P net 、The maximum power that the electrolyzer can absorb and maximum power generation of fuel cells

[0088] P net =P ne -P load

[0089]

[0090] Where η ele is the hydrogen production rate of the electrolyzer, is the rated power of the electrolyzer, is the fuel cell rated power, η fc is the fuel cell conversion efficiency, E tank is the hydrogen storage energy of the hydrogen storage tank, and are the maximum energy and minimum energy of the hydrogen storage tank respectively, and Δt is the sampling step.

[0091] (a2) Determine whether P is satisfied net ≥0, if satisfied, go to (a3), otherwise go to (a5);

[0092] (a3) Determine whether If satisfied, go to (a4); otherwise, go to (a9);

[0093] (a4) Determine whether SOC ≥ SOC max , if satisfied, go to (a7), otherwise go to (a8);

[0094] (a5) Determine whether If satisfied, go to (a6); otherwise, go to (a10);

[0095] (a6) Determine whether SOC≤SOC min , if satisfied, go to (a12), otherwise go to (a11);

[0096] (a7) The system operates according to scenario 1, that is, the electric energy storage component is disconnected, the electrolyzer operates at full load power, the hydrogen produced is pressurized and stored in the hydrogen storage tank by the pipe compressor, and the hydrogen fuel cell does not operate; when the hybrid hydrogen production system is in the networking mode, the excess new energy output exchanges power with the power grid through the interface converter. When an emergency occurs in the power grid or the hybrid hydrogen production system is actively disconnected and placed in an independent operation mode due to the operation requirements, wind and solar power abandonment occurs; after the system operates for a fixed time t that can be set, return to (a1);

[0097] (a8) The system operates according to scenario 2, that is, the electrolyzer operates at full load power, the hydrogen produced is pressurized and stored in the hydrogen storage tank through the pipe compressor, the remaining electric energy is transmitted to the electric energy storage component, and the hydrogen fuel cell does not operate; after the system operates for a fixed time t that can be set, it returns to (a1);

[0098] (a9) The system operates according to scenario three, i.e., the electrolyzer is in a variable load operation state. If the charge state of the energy storage component allows, appropriate discharge can be performed to maintain the normal operation rate of the electrolyzer. It is necessary to further consider power fluctuations and the real-time capacity of the alkaline electrolyzer and the proton exchange membrane electrolyzer to allocate power. The produced hydrogen is pressurized and stored in the hydrogen storage tank through the pipe compressor, and the hydrogen fuel cell does not operate. After the system runs for a fixed time t that can be set, it returns to (a1);

[0099] (a10) The system operates according to scenario 4, that is, the electrolyzer and the electric energy storage component are not in operation, the system does not produce hydrogen, and the hydrogen fuel cell generates electricity according to the power difference to meet the normal operation of the load; after the system operates for a fixed time t that can be set, it returns to (a1);

[0100] (a11) The system operates according to scenario 5, that is, the electrolyzer does not operate, the system does not produce hydrogen, the hydrogen fuel cell generates electricity at rated power, the energy storage component discharges, and the load operates normally; after the system operates for a fixed time t that can be set, it returns to (a1);

[0101] (a12) The system operates according to scenario six, that is, the electrolyzer does not operate, the system does not produce hydrogen, the hydrogen fuel cell generates electricity at rated power, and the energy storage component discharges. When the hybrid hydrogen production system is in networking mode, the power grid provides the remaining power difference to meet the normal operation of the load. When an emergency occurs in the power grid or the hybrid hydrogen production system actively disconnects and is in independent operation mode due to operating requirements, a system power shortage occurs; after the operating system can be set for a fixed time t, it returns to (a1).

[0102] 5. Obtain the power allocation mode;

[0103] According to the fluctuation category, operation scenario and current system operation data, the power allocation mode of at least one type of equipment in the new energy hydrogen production microgrid system is obtained, and the corresponding power allocation mode is executed for at least one type of equipment. The power allocation mode calculation method includes:

[0104] Based on the fluctuation category, operation scenario and current system operation data, a second comparison formula group is constructed; the power distribution mode is obtained through the results of the second comparison formula group and preset conditions. Specifically, when the electrolyzer is in a variable load operation state, the power distribution situation of the alkaline electrolyzer and the proton exchange membrane electrolyzer is judged. Figure 4 Flow chart of the hybrid electrolytic cell control method of this embodiment, P eleis the hydrogen production power of the system, y is the output fluctuation rate, y1 is the critical fluctuation rate of small fluctuation and medium fluctuation, E ALK and E PEM are the capacities of the alkaline electrolyzer and the proton exchange membrane electrolyzer respectively. The specific steps are as follows:

[0105] (b1) According to the obtained system hydrogen production power P ele and the capacity E of the alkaline electrolyzer and the proton exchange membrane electrolyzer ALK and E PEM ;

[0106] (b2) Determine whether P is satisfied ele >0.5E ALK , if satisfied, go to (b3), otherwise go to (b7);

[0107] (b3) According to the obtained critical volatility of small fluctuation and medium fluctuation y1 and the real-time output volatility y, determine whether y>y1 is satisfied. If so, go to (b5), otherwise go to (b4); wherein, if the real-time output volatility y of the current cycle cannot be obtained at the current time point (the minimum value and / or maximum value of the current fluctuation cycle is missing), then take the volatility of the most recent fluctuation cycle before the current time point;

[0108] (b4) Determine whether P is satisfied ele >E ALK , if satisfied, go to (b8), otherwise go to (b7);

[0109] (b5) Prioritize 0.5E ALK Power distribution alkaline electrolyzer, surplus power P re =P ele -0.5E ALK ;

[0110] (b6) Determine whether P is satisfied ele >E PEM , if satisfied, go to (b10), otherwise go to (b9);

[0111] (b7) The hydrogen production system operates in mode A, that is, all hydrogen production power is allocated to the alkaline electrolyzer, and the proton exchange membrane electrolyzer is turned off; after the fixed time t0 set by the operating system, it returns to (b1);

[0112] (b8) The hydrogen production system operates in mode B, that is, the alkaline electrolyzer operates at full load, and the proton exchange membrane electrolyzer operates in the normal power range for load variation; after the fixed time t0 set by the operating system, it returns to (b1);

[0113] (b9) The hydrogen production system operates in mode C, that is, the alkaline electrolyzer operates at 50% of the rated power, and the proton exchange membrane electrolyzer operates in the normal power range for load variation; after the fixed time t0 set by the operating system, it returns to (b1);

[0114] (b10) The hydrogen production system operates in mode D, that is, the proton exchange membrane electrolyzer operates at full load, and the alkaline electrolyzer operates in the range of 50% to 100% of the rated power; after the fixed time t0 set by the operating system, return to (b1)

[0115] This embodiment also provides a Figure 5 The hybrid hydrogen production system control device taking into account the power fluctuation of new energy is used to execute the aforementioned hybrid hydrogen production system control method taking into account the power fluctuation of new energy. The hybrid hydrogen production system control device includes a data acquisition module, a state analysis module and a power control module.

[0116] The data acquisition module is used to: obtain the operating data and equipment parameters of the new energy hybrid hydrogen production microgrid system; the new energy hybrid hydrogen production microgrid system is a multi-energy integrated system based on an alkaline-proton exchange membrane hybrid electrolyzer; the new energy hybrid hydrogen production microgrid system includes: an networking interface unit, a wind power generation component, a solar power generation component, an alkaline electrolyzer, a proton exchange membrane electrolyzer, a fuel cell, an electric energy storage component, and a hydrogen storage component; the hydrogen storage component includes a compressor and a hydrogen storage tank.

[0117] The state analysis module is used to: determine the type of fluctuation process based on the acquired local maximum and local minimum wind and solar output and the duration of power fluctuation; to analyze the operating state of the battery assembly based on the acquired state of charge of the battery assembly and the upper and lower limits of the state of charge of the battery assembly; to analyze the operating state of the electrolyzer based on the load power, the charge and discharge power and real-time capacity of the fuel cell, and the input power and real-time capacity of the alkaline electrolyzer and proton exchange membrane electrolyzer.

[0118] The power control module is used to: comprehensively consider the operating status of the battery components, the fluctuation of new energy power, and the operating status of the electrolyzer to control the power distribution of the system.

[0119] Finally, it should be noted that the above content is only used to illustrate the technical solution of the present invention, rather than to limit the scope of protection of the present invention. Simple modifications or equivalent substitutions of the technical solution of the present invention by ordinary technicians in this field do not deviate from the essence and scope of the technical solution of the present invention.

Claims

1. A control method for a hybrid hydrogen production system taking into account power fluctuations of new energy sources, characterized in that: The steps include: Construct a new energy hydrogen production microgrid system model using alkaline proton exchange membrane hybrid electrolyzer; Collect historical system operation data based on the new energy hydrogen production microgrid system model; Extracting the output fluctuation characteristics of the new energy hydrogen production microgrid system through the historical system operation data, and marking the fluctuation category of the output fluctuation process of the current new energy hydrogen production microgrid system according to the output fluctuation characteristics; Based on the current system operation data, an operation scenario of the new energy hydrogen production microgrid system is obtained; According to the fluctuation category, the operation scenario and the current system operation data, a power allocation mode of at least one type of equipment in the new energy hydrogen production microgrid system is obtained, and a corresponding power allocation mode is executed for the at least one type of equipment.

2. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 1 is characterized in that: The new energy hydrogen production microgrid system includes a wind power generation component, a solar power generation component, an alkaline electrolyzer, a proton exchange membrane electrolyzer, an electric load, an electric energy storage component, a hydrogen storage component, a fuel cell and a networking interface unit.

3. The control method of a hybrid hydrogen production system taking into account power fluctuations of new energy sources according to claim 2 is characterized in that: The hydrogen storage assembly includes a compressor and a hydrogen storage tank; The wind power generation assembly, solar power generation assembly, alkaline electrolyzer, proton exchange membrane electrolyzer, electric energy storage assembly and fuel cell are connected to the system bus; The hydrogen storage assembly is connected to the alkaline electrolyzer, the proton exchange membrane electrolyzer and the fuel cell respectively.

4. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 2 or 3 is characterized in that: The method for constructing the new energy hydrogen production microgrid system model includes: The new energy hydrogen production microgrid system is modeled by an energy system modeling method, and a grid topology structure including equipment characteristics is obtained.

5. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 3 is characterized in that: The system operation data includes the power generation and load power information of the hydrogen production power system and the operation information of the system component equipment.

6. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 5 is characterized in that: The power generation power of the hydrogen production power supply system includes wind power output value and photovoltaic power output value; The load power information includes electric load information and hydrogen load information; the electric load information is the historical load power data of the region, and the hydrogen load information includes the input power and real-time capacity of the alkaline electrolyzer and the proton exchange membrane electrolyzer; The operating information of the system component equipment includes the charging and discharging time of the electric energy storage component, the charge state of the electric energy storage component, the charging and discharging power of the electric energy storage component, the real-time status of the compressor, the real-time capacity of the hydrogen storage tank, the discharge power of the fuel cell and the real-time capacity of the fuel cell.

7. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 1 is characterized by: Extracting the output fluctuation characteristics of the new energy hydrogen production microgrid system includes: Divide the renewable energy output sequence into multiple fluctuation periods based on periodic rules; The multiple fluctuation periods are clustered according to a self-organizing map clustering algorithm, and a critical fluctuation rate is obtained.

8. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 1 is characterized by: The method for obtaining the running scenario includes: Calculating system operating parameters based on current system operating data, and constructing a first comparison formula group of the system operating parameters according to system operating conditions; The operation scenario is obtained through the result of the first comparison formula group and preset conditions.

9. The hybrid hydrogen production system control method taking into account the power fluctuation of new energy according to claim 1 is characterized by: The power allocation mode calculation method comprises: Constructing a second comparison formula group based on the fluctuation category, the operation scenario and the current system operation data; The power allocation mode is obtained according to the result of the second comparison formula group and a preset condition.

10. A hybrid hydrogen production system control device taking into account the power fluctuation of new energy, characterized in that: The hybrid hydrogen production system control method taking into account the power fluctuation of new energy as described in any one of claims 1 to 9 is used to implement the hybrid hydrogen production system control method taking into account the power fluctuation of new energy as described in any one of claims 1 to 9, and the hybrid hydrogen production system control device includes a data acquisition module, a state analysis module and a power control module: The data acquisition module is used to collect the operation data and equipment parameters of the new energy hybrid hydrogen production microgrid system; The state analysis module is used to: obtain output fluctuations according to the operation data and extract fluctuation characteristics; Marking the output fluctuation process with a fluctuation category according to the fluctuation characteristics; calculating the operation scenario of the new energy hydrogen production microgrid system according to the current system operation data; Calculate the power allocation mode of at least one type of equipment in the new energy hydrogen production microgrid system according to the fluctuation category, the operation scenario and the current system operation data; The power control module is used to control the power allocation of at least part of the devices in the system according to the power allocation mode.

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