A power supply system based on hydrogen energy

Abstract

The present invention relates to the technical field of hydrogen power supply, and provides a power supply system based on hydrogen energy, wherein a distributed hydrogen power station realizes the power generation and storage of hydrogen energy; a data acquisition unit in a data acquisition module is connected to a power consumption area in communication, and collects information related to power consumption; a sensor network unit is integrated inside the distributed hydrogen power station, and collects various parameter information inside the distributed hydrogen power station in real time; an optimization module optimizes the operation state in real time according to the collected internal parameter information of the distributed hydrogen power station, a dispatching module connects the optimization module and the distributed hydrogen power station, and is used to coordinate the power dispatching between various hydrogen power stations; a control module is connected to the dispatching module, and dynamically adjusts the electricity price according to the power supply dispatching situation of the hydrogen power station, the supply and demand relationship and the power generation situation; the present invention enhances the stability of power supply through the distributed hydrogen power station and the optimization module, realizes accurate supply and demand matching through the dispatching module, reduces the power supply cost, and improves the energy utilization efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of hydrogen energy power supply systems, in particular to a power supply system based on hydrogen energy. Background Art

[0002] The hydrogen power supply system is an energy supply system that uses hydrogen as energy and converts the chemical energy contained in hydrogen into electrical energy through a series of devices and technologies, and stores, transmits and distributes it to meet various electricity needs. In the system, hydrogen is usually produced by methods such as water electrolysis and fossil fuel reforming. The produced hydrogen is stored and transported to fuel cells or other energy conversion devices, where it reacts chemically with oxygen to generate electricity. The hydrogen power supply system has the advantages of being clean, efficient, and having high energy density, and has potential application prospects in transportation, industry, and households.

[0003] In addition, hydrogen reacts with oxygen in the fuel cell to generate electricity. When there is surplus electricity, the excess electricity can be used to electrolyze water to produce hydrogen and store it. During peak electricity consumption, hydrogen fuel cells generate electricity and the generated electricity is fed into the power grid to provide power support for the grid. At the same time, through the intelligent control system, according to the needs of the power grid and the supply of hydrogen, the production, storage, transportation of hydrogen and the operation of fuel cells are optimized to ensure the stable and efficient operation of the hydrogen power supply system, better cooperate with the power grid, and improve the efficiency and reliability of the entire energy system.

[0004] The existing background technology still has the following shortcomings:

[0005] 1. Traditional hydrogen power generation lacks a dynamic adjustment mechanism. Long-term operation of hydrogen power stations may cause the performance of related power generation facilities to decline. For example, related equipment in hydrogen power stations, including electrolyzers or fuel cells, will gradually wear out, affecting power generation efficiency and performance. On the other hand, changes in environmental factors such as temperature and humidity may also affect equipment performance. In order to achieve the optimal power generation state, it is necessary to dynamically adjust the relevant power generation configuration. However, most existing technologies lack the corresponding dynamic adjustment mechanism or use manual adjustment, which affects power generation efficiency.

[0006] 2. In terms of hydrogen power supply distribution, the inter-regional power allocation mechanism performs poorly in terms of flexibility and efficiency. Due to the lack of effective coordination and flexible allocation mechanism, the supply capacity of the power supply station is not fully taken into account while considering supply and demand. For example, if the supply capacity of the power station is not considered, when the power station runs at full load without restrictions, it may cause damage to the power station, such as affecting battery performance, etc., so that hydrogen energy cannot fully exert its due advantages in the power supply distribution process, resulting in energy waste. Summary of the invention

[0007] In order to solve the above technical problems, the present invention provides a hydrogen energy-based power supply system, which uses an iterative algorithm to find the optimal power generation state, improves energy supply efficiency and power supply stability, and designs a deployment module to dynamically deploy according to transmission loss and transmission cost to solve the problems in the prior art:

[0008] The technical solution of the present invention is as follows:

[0009] A hydrogen energy-based power supply system, comprising:

[0010] Distributed hydrogen power stations, which are used to realize the generation and storage of hydrogen energy and are arranged according to the electricity demand of the electricity consumption area or the distribution of hydrogen energy resources;

[0011] A data acquisition module, wherein the data acquisition module is connected to the power grid system of the power consumption area and the distributed hydrogen power station data, and includes a data acquisition unit and a sensor network unit. The data acquisition unit is connected to the power consumption area in communication and obtains power consumption information from the relevant power supply unit. The sensor network unit is integrated in the distributed hydrogen power station including the hydrogen storage system, the fuel cell system, the power conversion system and the power control system, and is used to collect various parameter information inside the distributed hydrogen power station in real time;

[0012] An optimization module, which is connected to the data acquisition module, optimizes the operation status in real time according to the collected internal parameter information of the distributed hydrogen power station, finds the optimization strategy through an iterative algorithm to adjust the parameters to optimize the operation status of the distributed hydrogen power station, and optimizes the operation status in real time;

[0013] The dispatching module is connected with the optimization module and the distributed hydrogen power station data, and is used to coordinate the power dispatching between the hydrogen power stations to ensure the balance between supply and demand, calculate the transmission cost and transmission loss according to the geographical location and line conditions, and generate dispatching instructions to achieve the optimal transmission strategy;

[0014] The deployment module includes a transmission loss calculation unit, an instruction generation unit and an instruction deployment unit;

[0015] The transmission loss calculation unit calculates the transmission cost and transmission loss according to the geographical location and transmission line conditions collected by the data collection modules of each distributed hydrogen power station;

[0016] The instruction generation unit generates a dispatch instruction based on the regional electricity demand acquired in real time by the data acquisition unit and the amount of power storage monitored by the optimization module, combined with the transmission cost and transmission loss;

[0017] The command dispatching unit adopts the principle of proximity to reduce costs according to the dispatching command, and at the same time, ensures that there will be no power supply confusion during the dispatching process to arrange the distributed hydrogen power station to perform the power supply task;

[0018] The control module is communicatively connected to the allocation module, and adjusts the power supply priority of each distributed hydrogen power station according to the allocation status of the allocation module and the power consumption information obtained by the data acquisition unit.

[0019] Preferably, the data acquisition module includes a data acquisition unit and a sensor network unit;

[0020] The data collection unit collects historical electricity consumption data information of each electricity consumption area, including historical electricity consumption, electricity consumption type, geographical location of the electricity consumption area, line transmission power consumption and electricity demand;

[0021] The sensor network unit includes a plurality of intelligent sensors, which are respectively arranged in the distributed hydrogen power station to collect information in the distributed hydrogen power station including but not limited to hydrogen supply pressure, reaction temperature, catalyst concentration, hydrogen flow rate and power generation.

[0022] Preferably, the optimization module includes a parameter calculation unit and a parameter optimization unit;

[0023] The parameter calculation unit determines the optimization target and generates the optimization strategy based on the internal parameters of the distributed hydrogen power station transmitted in real time by the sensor network unit in the data acquisition module, including but not limited to the current and voltage of the electrolyzer, the pressure and temperature of the hydrogen storage tank, the intake flow and stack temperature of the fuel cell, the air volume and wind speed of the ventilation system, and the power generation;

[0024] The parameter optimization unit performs operation control operations on the distributed hydrogen power station according to the optimization strategy, including adjusting the electrolyzer, hydrogen storage tank, fuel cell and ventilation system to achieve the optimization goal.

[0025] Preferably, the parameter calculation unit selects the internal parameters of the distributed hydrogen power station at maximum power generation as the optimization target;

[0026] The process of generating an optimization strategy is as follows:

[0027] The total power of the distributed hydrogen power station collected by the sensor network unit and its corresponding system configuration are: , where A is the power generation, is the configuration of various parameters that determine the power generation; r is the total number of parameter types. The basic optimization strategy is established through the gradient algorithm and Newton method, and the optimization strategy is determined by comparing the calculation results of the two algorithms;

[0028] For gradient algorithms, calculations are performed based on a single data point in the dataset:

[0029]

[0030] The calculation update formula for Newton's method based on a single data in the data set is:

[0031]

[0032] in, is the updated parameter value, is the current parameter value, i represents the i-th parameter, is the learning rate, which controls the speed of iteration, according to the sample parameters The total number of samples determines the The larger the value, the smaller the sample. The smaller the value; is the power generation A in The first derivative of ; is the power generation A in The second derivative of

[0033] In each iteration, the sensor network unit records the corresponding power generation under the current parameter configuration;

[0034] After iterating all the value samples of each parameter sample, the maximum power generation value and the corresponding parameter configuration recorded in the parameter configuration calculated by the two algorithms are obtained, the two maximum power generation values ​​are compared, the parameter configuration corresponding to the larger power generation value is selected, and this parameter configuration is specified to generate an optimization strategy for the optimization purpose.

[0035] Preferably, the transmission loss calculation unit analysis formula is as follows:

[0036] The power generation of each hydrogen power station in the distributed hydrogen power station is A, the hydrogen power station is marked as k, and there are n hydrogen power stations in total; the transmission cost calculation formula is:

[0037]

[0038] Where C represents the cost, means the total transmission cost, represents the transmission distance from the hydrogen power station k to the target location, It indicates the unit price of electric energy transmitted per unit distance on the line. Indicates the loss factor determined according to the line conditions. The loss factor is used to adjust the unit price of electricity per unit distance to reflect the additional cost caused by the line conditions. represents the fixed transmission costs associated with hydrogen power station k;

[0039] Transmission loss calculation formula:

[0040]

[0041] in, represents the current of the transmission line, represents the resistivity of the transmission line conductor, T represents the transmission loss, means the total transmission loss, Indicates the average transmission speed on the line. Represents the loss during k commutation in a hydrogen power station.

[0042] Preferably, the instruction generation unit deploys instruction generation in the following manner:

[0043] There are m electricity consumption areas, each of which is marked as j. The transmission loss from hydrogen power station k to electricity consumption area j is recorded as The unit price of transmission cost from hydrogen power station k to power consumption area j is recorded as ;

[0044] Objective function:

[0045]

[0046] Power supply energy constraints:

[0047]

[0048] Transmission loss cost constraint:

[0049]

[0050] in, Indicates the power. represents the amount of electricity allocated to area j, represents the amount of electricity allocated to region j by hydrogen power station k, is the maximum permissible transmission loss cost, represents the total power generation of hydrogen power station k;

[0051] The objective function is to minimize the total transmission cost, which is calculated by summing the product of the transmission cost unit price and the allocated power in each area; the power supply energy constraint ensures that the total allocated power does not exceed the total storage power; the transmission loss cost constraint ensures that the transmission loss in each area does not exceed the maximum allowed value. The minimum objective function is obtained. That is the generated deployment instruction.

[0052] Preferably, the control module adjusts the power generation priority of each distributed hydrogen power station according to the power consumption and supply and demand relationship, guides the distributed hydrogen power stations to reasonably allocate power generation resources, and generates allocation instructions through the instruction generation unit. While ensuring priority power supply to areas with important power supply needs, the total transmission cost is minimized, and effective compatibility of power generation priority adjustment and cost control is achieved, ensuring that distributed hydrogen power stations reasonably allocate power generation resources and improve energy utilization efficiency; areas with important power supply needs include but are not limited to hospitals and scientific research institutions for priority power supply.

[0053] Preferably, the distributed hydrogen power station reasonably adjusts the operating parameters of the power station according to the optimization module to efficiently store the excess electric energy; when power generation is insufficient, the data acquisition module again transmits the current status information to the optimization module, and the optimization module adjusts the power station parameters to release the stored electric energy, ensuring stable power supply of the distributed hydrogen power station and realizing reasonable allocation and efficient utilization of electric energy.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] 1. The present invention realizes the stable power generation and storage functions of hydrogen energy through distributed hydrogen power stations and optimization modules. The optimization module dynamically adjusts the relevant power generation configuration to continuously reach the optimal power generation state under the influence of changes in environmental factors such as temperature, humidity, etc. or performance changes caused by long-term operation of equipment, thereby improving the power generation efficiency and ensuring the continuous and stable power supply of the hydrogen power supply system.

[0056] 2. The present invention solves the problems of insufficient flexibility and efficiency, coordination difficulties and information transmission lag in the inter-regional power allocation mechanism through the allocation module and the control module. It greatly improves the ability to optimize the allocation of cross-regional power resources and achieves accurate supply and demand matching. It dynamically adjusts the power supply strategy based on information such as transmission loss and cost. It solves the problem of increased power supply costs and reduced energy utilization efficiency in the process of hydrogen power supply distribution, reduces power supply costs and improves energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a work flow chart of the present invention;

[0058] Figure 2 It is a schematic diagram of optimization of the optimization module of the present invention;

[0059] Figure 3 It is a schematic diagram of the deployment of the deployment module of the present invention;

[0060] Figure 4 It is a schematic diagram of generating optimization instructions of the optimization module of the present invention. DETAILED DESCRIPTION

[0061] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0062] The present invention provides a hydrogen energy-based power supply system, comprising:

[0063] Distributed hydrogen power stations are used to realize the generation and storage of hydrogen energy; they can be laid out according to electricity demand and energy resource distribution, and be as close as possible to electricity load centers or hydrogen energy supply sources to reduce transportation costs or ensure a stable supply of electricity.

[0064] A data acquisition module, wherein the data acquisition module includes a data acquisition unit and a sensor network unit. The data acquisition unit is connected to the power consumption area through communication, and uses the Internet, dedicated communication lines, etc. to obtain information related to power consumption from relevant power supply units. The sensor network unit is integrated in the distributed hydrogen power station, such as the hydrogen storage system, fuel cell system, power conversion system, and power control system, and is used to collect various parameter information inside the distributed hydrogen power station in real time;

[0065] An optimization module, which is connected to the data acquisition module, finds an optimization strategy to adjust the parameters through an iterative algorithm according to the collected internal parameter information of the distributed hydrogen power station to optimize the operating state of the distributed hydrogen power station, and optimizes the operating state in real time;

[0066] The dispatching module connects the optimization module and the distributed hydrogen power station to coordinate the power dispatching between the distributed hydrogen power stations to ensure the balance between supply and demand. The dispatching module calculates the cost and loss according to the geographical location and line conditions, and generates dispatching instructions to achieve the optimal transmission strategy;

[0067] The control module is communicatively connected to the allocation module, and adjusts the power supply priority of each distributed hydrogen power station according to the allocation status of the allocation module and the power consumption information obtained by the data acquisition unit.

[0068] Example: Figure 1-4 As shown, in this embodiment, a certain area is divided into three electricity consumption areas, with five distributed hydrogen power stations, and this system coordinates power supply to this area.

[0069] Distributed hydrogen power stations carry out hydrogen power generation operations, and when there is excess hydrogen power generation, the excess electricity is reused to produce hydrogen or stored through battery energy storage, supporting the rapid release of stored electricity during peak electricity demand periods or when unexpected circumstances lead to insufficient power generation.

[0070] The data acquisition module includes a data acquisition unit and a sensor network unit;

[0071] The data collection unit is connected to the power management system of the power consumption area, and collects data information based on the historical power consumption records of each power consumption area, including the geographical location of the power consumption area, transmission line related data and power demand;

[0072] Multiple intelligent sensors of the sensor network unit are distributed in the distributed hydrogen power station, for example, in the hydrogen storage system, fuel cell system, power conversion system and power control system to collect information in the distributed hydrogen power station including but not limited to hydrogen supply pressure, reaction temperature, catalyst concentration, hydrogen flow rate, electrode area and power generation, and transmit these data to the parameter optimization unit.

[0073] The optimization module includes a parameter calculation unit and a parameter optimization unit;

[0074] The parameter calculation unit determines the optimization target and generates the optimization strategy based on the internal parameters of the distributed hydrogen power station transmitted in real time by the sensor network unit in the data acquisition module, including but not limited to the current and voltage of the electrolyzer, the pressure and temperature of the hydrogen storage tank, the intake flow and stack temperature of the fuel cell, the air volume and wind speed of the ventilation system, and the power generation;

[0075] The system power generation collected by the sensor network unit and its system configuration are , where A is the power generation, It is the various parameter configurations that determine the power generation; parameter configurations such as hydrogen supply pressure, reaction temperature, catalyst concentration, and hydrogen flow rate. This set of parameter values ​​represents a specific system configuration. By measuring and recording these parameters, different system configuration states can be determined.

[0076] r is the number of parameter types. The optimization strategy for system optimization is found through an iterative algorithm, that is, the iterative algorithm, namely the gradient descent algorithm and the Newton method, is used to find the parameter combination that can make the system performance optimal, that is, the maximum power generation, based on the system power generation and various parameter configurations collected by the sensor network unit by continuously adjusting the parameter values. Then, the optimization strategy is determined by comparing the calculation results of the two algorithms;

[0077] For gradient algorithms, calculations are performed based on a single data point in the dataset:

[0078]

[0079] The calculation update formula for Newton's method based on a single data in the data set is:

[0080]

[0081] in, is the updated parameter value, is the current parameter value, i represents the i-th parameter, is the learning rate, which controls the speed of iteration, according to the sample parameters The total number of samples determines the The larger the value, the smaller the sample. The smaller the value; is the power generation A in The first derivative of ; is the power generation A in The second-order derivative of; In each iteration, the sensor network unit records the corresponding power generation when the current parameter configuration;

[0082] After iterating all the value samples of each parameter sample, the maximum power generation value and the corresponding parameter configuration recorded in the parameter configuration calculated by the two algorithms are obtained, the two maximum power generation values ​​are compared, the parameter configuration corresponding to the larger power generation value is selected, and this parameter configuration is specified as the optimization purpose to generate an optimization strategy. The parameter optimization unit performs operation and control operations on the distributed hydrogen power station according to the optimization strategy, including adjusting the electrolyzer, hydrogen storage tank, fuel cell and ventilation system to achieve the optimization goal and meet the power supply demand;

[0083] Through distributed hydrogen power stations and optimization modules, the stable power generation and storage functions of hydrogen energy are realized. The optimization module dynamically adjusts the relevant power generation configuration to continuously achieve the optimal power generation state under the influence of environmental factors such as changes in temperature, humidity, etc. or performance changes caused by long-term operation of equipment, thereby improving the power generation efficiency and ensuring the continuous and stable power supply of the hydrogen power supply system.

[0084] The deployment module includes a transmission loss calculation unit, an instruction generation unit and an instruction deployment unit;

[0085] The transmission loss calculation unit calculates the transmission cost and transmission loss based on the geographical location and transmission line conditions collected by the data acquisition modules of each distributed hydrogen power station. The analysis formula is as follows:

[0086] The power generation of each hydrogen power station in the distributed hydrogen power station is A, the hydrogen power station is marked as k, and there are n hydrogen power stations in total; the transmission cost calculation formula is:

[0087]

[0088] Where C represents the cost, means the total transmission cost, represents the transmission distance from the hydrogen power station k to the target location, It indicates the unit price of electric energy transmitted per unit distance on the line. It indicates the loss coefficient determined according to the line conditions. Considering that in the process of power transmission, due to line conditions, such as line aging and high resistance, the actual transmitted power will be different from the theoretical transmitted power, thus affecting the calculation of transmission cost. Therefore, the loss coefficient is actually used to adjust the unit price of power per unit distance to reflect the additional cost caused by the line conditions. represents the fixed transmission costs associated with hydrogen power station k;

[0089] Transmission loss calculation formula:

[0090]

[0091] in, represents the current of the transmission line, represents the resistivity of the transmission line conductor, T represents the transmission loss, means the total transmission loss, Indicates the average transmission speed on the line. Represents the loss during k commutation in a hydrogen power station.

[0092] The instruction generation unit generates a dispatch instruction based on the regional power demand acquired in real time by the data acquisition unit and the power storage amount monitored by the optimization module, combined with the transmission cost and transmission loss. The dispatch instruction generation method is as follows;

[0093] There are m electricity consumption areas, each of which is marked as j. The transmission loss from hydrogen power station k to electricity consumption area j is recorded as The unit price of transmission cost from hydrogen power station k to power consumption area j is recorded as ;

[0094] Objective function:

[0095]

[0096] Power supply energy constraints:

[0097]

[0098] Transmission loss cost constraint:

[0099]

[0100] in, Indicates the power. represents the amount of electricity allocated to area j, represents the amount of electricity allocated to region j by hydrogen power station k, is the maximum permissible transmission loss cost, represents the total power generation of hydrogen power station k;

[0101] The objective function is to minimize the total transmission cost, which is calculated by summing the product of the transmission cost unit price and the allocated power in each area; the power supply energy constraint ensures that the total allocated power does not exceed the total storage power; the transmission loss cost constraint ensures that the transmission loss in each area does not exceed the maximum allowed value. The minimum objective function is obtained. That is the generated deployment instruction.

[0102] The command dispatching unit arranges the power supply tasks of the distributed hydrogen power station according to the dispatching instructions.

[0103] The control module adjusts the power generation priority of each distributed hydrogen power station according to the power consumption and supply and demand relationship, guides the distributed hydrogen power stations to reasonably allocate power generation resources, and generates allocation instructions through the instruction generation unit. While ensuring priority power supply to areas with important power supply needs, it minimizes the total transmission cost, achieves effective compatibility between power generation priority adjustment and cost control, ensures that distributed hydrogen power stations reasonably allocate power generation resources, and improves energy utilization efficiency; areas with important power supply needs include but are not limited to hospitals and scientific research institutions for priority power supply.

[0104] Through the allocation module and the control module, the problems of insufficient flexibility and efficiency of the inter-regional power allocation mechanism, coordination difficulties and information transmission lags have been solved. Compared with the existing technology, the ability to optimize the allocation of cross-regional power resources has been improved, and accurate supply and demand matching has been achieved. The electricity price is adjusted dynamically according to information such as power consumption and cost. The problem of increased power supply costs and reduced energy utilization efficiency caused by energy loss in the storage and transmission links during the conversion of hydrogen energy into electricity has been solved, reducing power supply costs and improving energy utilization efficiency.

[0105] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A hydrogen energy-based power supply system, characterized in that: include: Distributed hydrogen power stations, which are used to realize the generation and storage of hydrogen energy and are arranged according to the electricity demand of the electricity consumption area or the distribution of hydrogen energy resources; A data acquisition module, which is connected to the power grid system of the power consumption area and the distributed hydrogen power station data, and includes a data acquisition unit and a sensor network unit. The data acquisition unit is connected to the power consumption area in communication and obtains power consumption information from the relevant power supply unit. The sensor network unit is integrated in the distributed hydrogen power station including the hydrogen storage system, the fuel cell system, the power conversion system and the power control system, and is used to collect various parameter information inside the distributed hydrogen power station in real time; An optimization module, which is data-connected to the data acquisition module, optimizes the operating state in real time according to the collected internal parameter information of the distributed hydrogen power station, finds the optimization strategy through an iterative algorithm to adjust the parameters to optimize the operating state of the distributed hydrogen power station, and optimizes the operating state in real time; The dispatching module is connected with the optimization module and the distributed hydrogen power station data, and is used to coordinate the power dispatching between the hydrogen power stations to ensure the balance between supply and demand, calculate the transmission cost and transmission loss according to the geographical location and line conditions, and generate dispatching instructions to achieve the optimal transmission strategy; The deployment module includes a transmission loss calculation unit, an instruction generation unit and an instruction deployment unit; The transmission loss calculation unit calculates the transmission cost and transmission loss according to the geographical location and transmission line conditions collected by the data collection modules of each distributed hydrogen power station; The instruction generation unit generates a dispatch instruction based on the regional electricity demand acquired in real time by the data acquisition unit and the amount of power storage monitored by the optimization module, combined with the transmission cost and transmission loss; The command dispatching unit adopts the principle of proximity to reduce costs according to the dispatching command, and at the same time, ensures that there will be no power supply confusion during the dispatching process to arrange the distributed hydrogen power station to perform the power supply task; A control module, the control module is connected to the deployment module in communication, and adjusts the power supply priority of each distributed hydrogen power station according to the deployment status of the deployment module and the power consumption information obtained by the data acquisition unit; The optimization module includes a parameter calculation unit and a parameter optimization unit; The parameter calculation unit determines the optimization target and generates the optimization strategy according to the internal parameters of the distributed hydrogen power station transmitted in real time by the sensor network unit in the data acquisition module, including but not limited to the current and voltage of the electrolyzer, the pressure and temperature of the hydrogen storage tank, the intake flow and stack temperature of the fuel cell, the air volume and wind speed of the ventilation system and the power generation; The parameter optimization unit performs operation control operations on the distributed hydrogen power station according to the optimization strategy, including adjusting the electrolyzer, hydrogen storage tank, fuel cell and ventilation system to achieve the optimization goal; The parameter calculation unit selects the internal parameters of the distributed hydrogen power station at the maximum power generation as the optimization target; The process of generating an optimization strategy is as follows: The total power of the distributed hydrogen power station collected by the sensor network unit and its corresponding system configuration are: , where A is the power generation, is the configuration of various parameters that determine the power generation; r is the total number of parameter types. The basic optimization strategy is established through the gradient algorithm and Newton method, and the optimization strategy is determined by comparing the calculation results of the two algorithms; For gradient algorithms, calculations are performed based on a single data point in the dataset: The calculation update formula for Newton's method based on a single data in the data set is: in, is the updated parameter value, is the current parameter value, i represents the i-th parameter, is the learning rate, which controls the speed of iteration, according to the sample parameters The total number of samples determines the The larger the value, the smaller the sample. The smaller the value; is the power generation A in The first derivative of ; is the power generation A in The second derivative of In each iteration, the sensor network unit records the corresponding power generation under the current parameter configuration; After iterating all the value samples of each parameter sample, the maximum power generation value and the corresponding parameter configuration recorded in the parameter configuration calculated by the two algorithms are obtained, the two maximum power generation values ​​are compared, the parameter configuration corresponding to the larger power generation value is selected, and this parameter configuration is specified to generate an optimization strategy for the optimization purpose; The instruction generation unit arranges instruction generation in the following manner; There are m electricity consumption areas, each of which is marked as j; the transmission loss from hydrogen power station k to electricity consumption area j is recorded as The unit price of transmission cost from hydrogen power station k to power consumption area j is recorded as ; Objective function: Power supply energy constraints: Transmission loss cost constraint: in, Indicates the power. represents the amount of electricity allocated to area j, represents the amount of electricity allocated to region j by hydrogen power station k, is the maximum permissible transmission loss cost, represents the total power generation of hydrogen power station k; The objective function is to minimize the total transmission cost, which is calculated by summing the product of the transmission cost unit price and the allocated power in each area; the power supply energy constraint ensures that the total allocated power does not exceed the total storage power; the transmission loss cost constraint ensures that the transmission loss in each area does not exceed the maximum allowed value. The minimum objective function is obtained. That is the generated deployment instruction.

2. A hydrogen energy-based power supply system as claimed in claim 1, characterized in that: The data collection unit collects historical electricity consumption data information of each electricity consumption area, including historical electricity consumption, electricity consumption type, geographical location of the electricity consumption area, line transmission power consumption and electricity demand; The sensor network unit includes a plurality of intelligent sensors, which are respectively arranged in the distributed hydrogen power station to collect information in the distributed hydrogen power station including but not limited to hydrogen supply pressure, reaction temperature, catalyst concentration, hydrogen flow rate and power generation.

3. A hydrogen energy-based power supply system as claimed in claim 1, characterized in that: The transmission loss calculation unit analysis formula is as follows: The power generation of each hydrogen power station in the distributed hydrogen power station is A, the hydrogen power station is marked as k, and there are n hydrogen power stations in total; the transmission cost calculation formula is: Where C represents the cost, means the total transmission cost, represents the transmission distance from the hydrogen power station k to the target location, It indicates the unit price of electric energy transmitted per unit distance on the line. Indicates the loss factor determined according to the line conditions. The loss factor is used to adjust the unit price of electricity per unit distance to reflect the additional cost caused by the line conditions. represents the fixed transmission costs associated with hydrogen power station k; Transmission loss calculation formula: in, represents the current of the transmission line, represents the resistivity of the transmission line conductor, T represents the transmission loss, means the total transmission loss, Indicates the average transmission speed on the line. Represents the loss during k commutation in a hydrogen power station.

4. A hydrogen energy-based power supply system as claimed in claim 1, characterized in that: The control module adjusts the power generation priority of each distributed hydrogen power station according to the power consumption and supply and demand relationship, guides the distributed hydrogen power stations to reasonably allocate power generation resources, and generates allocation instructions through the instruction generation unit. While ensuring priority power supply to areas with important power supply needs, the total transmission cost is minimized, and the effective compatibility of power generation priority adjustment and cost control is achieved, ensuring that distributed hydrogen power stations reasonably allocate power generation resources and improve energy utilization efficiency; areas with important power supply needs include but are not limited to hospitals and scientific research institutions for priority power supply.

5. A hydrogen energy-based power supply system as claimed in claim 1, characterized in that: The distributed hydrogen power station reasonably adjusts the operating parameters of the power station according to the optimization module and stores the excess electric energy efficiently; when the power generation is insufficient, the data acquisition module transmits the current status information to the optimization module again, and the optimization module adjusts the power station parameters to release the stored electric energy, ensuring the stable power supply of the distributed hydrogen power station and realizing the reasonable allocation and efficient utilization of electric energy.

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