Dynamic balance control method of power grid friendly electricity-hydrogen fusion energy hub

Abstract

The present application belongs to the technical field of power grid control, and particularly relates to a dynamic balance control method for a power grid-friendly electric-hydrogen integrated energy hub, which comprises the following steps: collecting multi-source data in real time, including power grid frequency deviation value, wind and light power generation, energy storage device state of charge, hydrogen storage tank pressure, electrolytic hydrogen production device input power and fuel cell output power, to form a multi-dimensional operating parameter set; according to the amplitude and duration of the power grid frequency deviation, hierarchically calling the energy storage device, electrolytic hydrogen production device and fuel cell device for collaborative regulation; controlling the wind turbine generator to release rotor kinetic energy, while adjusting the electrolytic hydrogen production device as an interruptible load to provide virtual inertia support; calling the energy storage device, electrolytic hydrogen production device and fuel cell device according to priority for power compensation, to realize dynamic balance of the electric-hydrogen integrated energy system. The present application significantly improves the power grid frequency stability, reduces the energy storage configuration demand, and improves the hydrogen energy utilization efficiency and new energy consumption capacity.

Description

Technical Field

[0001] The present invention belongs to the field of power grid control technology, and specifically relates to a dynamic balance control method for a power grid-friendly electric-hydrogen fusion energy hub. Background Art

[0002] The characteristics of a high-proportion renewable energy grid are becoming increasingly pronounced as the installed share of wind and photovoltaic power exceeds 25%. Due to the reduction in synchronous generators, system inertia has decreased by 40%-60%, resulting in frequency variation (df / dt) rates as high as 0.01 Hz / s. Frequency deviations caused by power fluctuations often exceed ±0.05 Hz. Under these circumstances, insufficient regional energy absorption capacity has become a prominent issue.

[0003] Current frequency regulation technology has many limitations. Although energy storage solutions have millisecond-level response capabilities, due to energy density limitations, a 20MW system can only support second-level frequency regulation. Furthermore, under deep charge and discharge conditions, its annual capacity decay exceeds 15%, and its economic performance is generally higher than 100 yuan / MW·Hz. Most hydrogen energy consumption systems use a fixed-power hydrogen production mode, and grid power fluctuations can cause electrolysis efficiency to drop by 8%-10%. Furthermore, hydrogen storage units cannot achieve bidirectional conversion of electrical energy, making it difficult to respond to transient grid frequency fluctuations.

[0004] The field of multi-energy synergy also faces some core contradictions. On the one hand, there is a lack of an effective connection mechanism between the second-level response characteristics of energy storage and the minute-level regulation capabilities of hydrogen energy, resulting in insufficient continuous frequency regulation time. On the other hand, there is a fundamental conflict between the rapid power injection required for frequency regulation and the power stability requirements of the hydrogen production process. What is more serious is that the existing system has not established a dynamic safety boundary linkage mechanism between the energy storage state of charge (SOC) and the pressure of the hydrogen storage system, resulting in a lack of energy replenishment path under low SOC conditions. The current mainstream solutions have failed to achieve a balance in the three dimensions of economy, speed, and sustainability. The excessive proportion of energy storage configuration has pushed up construction costs. When the frequency change rate exceeds 0.3Hz / s, the control strategy generally fails, and the system's continuous frequency regulation capability is mostly less than 10 minutes.

[0005] Existing technologies also suffer from insufficient forecasting accuracy. Traditional wind and solar power forecasts rely on statistical models, often with errors exceeding 15% in the event of sudden weather changes. This prevents hydrogen energy systems from adjusting their operating status in advance. Especially under extreme conditions, where wind power drops by more than 30%, existing forecasting methods have a lag of up to 5-8 minutes, further exacerbating the risk of frequency fluctuations. Summary of the Invention

[0006] In view of the above deficiencies in the existing technology, the purpose of the present invention is to provide a dynamic balance control method for a grid-friendly electric-hydrogen fusion energy hub. Through the three-in-one control architecture of millisecond-level virtual inertia coordination, second-minute-level power stratification compensation and hour-level safety boundary linkage, the grid frequency stability is significantly improved, the energy storage configuration requirements are reduced, the hydrogen energy utilization efficiency and new energy absorption capacity are improved, and the system safety is enhanced.

[0007] To achieve the above objectives, the present invention provides a dynamic balance control method for a grid-friendly electric-hydrogen fusion energy hub, comprising the following steps:

[0008] S1. For the electric-hydrogen fusion energy system including wind and solar power generation, energy storage, electrolysis hydrogen production, fuel cells and grid interface, real-time collection of multi-source data, including grid frequency deviation value Δf, wind and solar power generation power P re , energy storage device state of charge SOC, hydrogen storage tank pressure p H2 , input power P of electrolytic hydrogen production device elec And the fuel cell output power P fc , forming a multi-dimensional operating parameter set;

[0009] S2. Based on the multi-dimensional operating parameter set and the amplitude and duration of the grid frequency deviation Δf, the energy storage device, electrolysis hydrogen production device, and fuel cell device are hierarchically called for coordinated regulation;

[0010] S3. Based on coordinated regulation, the wind turbine generator set is controlled to release rotor kinetic energy, and the electrolytic hydrogen production device is adjusted as an interruptible load to provide virtual inertia support;

[0011] S4. Based on the current coordinated regulation effect, the energy storage device, electrolysis hydrogen production device, and fuel cell device are called according to priority to perform power compensation to achieve a dynamic balance of the electric-hydrogen fusion energy system.

[0012] As a preferred embodiment of the present invention, in S1, the method for real-time acquisition of multi-source data is:

[0013] Frequency sensors are deployed at the grid connection point, using a 16-bit A / D converter for signal sampling. The digital value of the frequency deviation, Δf, is generated every 10ms.

[0014] Install a wide-range power transmitter at the exit of the wind and solar power station to synchronously collect the wind and solar power generation power P re ;

[0015] A distributed battery management system is used to monitor the single-cell voltage, total current, and ambient temperature of the energy storage lithium battery pack in real time. The sampling frequency is 1kHz, and the state of charge (SOC) of the energy storage device is calculated using the ampere-hour integration method based on open-circuit voltage calibration. The value is updated every 200ms.

[0016] Install a hydrogen storage tank pressure transmitter to collect real-time hydrogen storage tank pressure p H2 ;

[0017] The Hall current sensor and the high-voltage voltage sensor are connected in series at the DC input end of the electrolytic hydrogen production device, and the input power P of the electrolytic hydrogen production device is obtained by multiplication. elec ;

[0018] A three-phase intelligent power meter is installed at the AC output end of the fuel cell to collect the grid-fed power. The grid-fed power is the fuel cell output power P fc .

[0019] As a preferred embodiment of the present invention, in S2, the coordinated regulation process is:

[0020] S2.1, real-time detection of grid frequency deviation value Δf, when When , the preset second-level fluctuation smoothing layer control logic is activated;

[0021] S2.2, if If the duration of the power compensation layer exceeds 10 seconds, it will automatically switch to the preset minute-level power compensation layer control mode;

[0022] S2.3, if If the duration exceeds 5 minutes, the preset hourly energy transfer strategy will be activated.

[0023] As a preferred solution of the present invention, in S2.1, the control logic of the second-level fluctuation smoothing layer is:

[0024] The energy storage control unit of the energy storage device calculates the target charge and discharge power P of the energy storage device according to the current grid frequency deviation value Δf ess :

[0025] (1);

[0026] Where K ess is the energy storage frequency modulation coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system;

[0027] When Δf>0, a discharge command is generated, and when Δf<0, a charge command is generated; the discharge command and the charge command are transmitted to the bidirectional DC / AC converter of the energy storage device via the CAN bus communication protocol, and the bidirectional DC / AC converter completes the power response within 100 milliseconds.

[0028] As a preferred solution of the present invention, in S2.2, the minute-level power compensation layer control mode is:

[0029] When Δf < 0, the electrolytic hydrogen production device is called to absorb the excess power, and the power regulation amount ΔP is calculated by formula (2): elec :

[0030] (2);

[0031] Where K elec is the droop coefficient of the electrolytic hydrogen production device;

[0032] Based on the power adjustment amount ΔP elec , through the multi-level IGBT pulse width modulation sequence of the hydrogen production rectifier of the electrolysis hydrogen production device, the electrolysis power is linearly increased to the target value within 5 seconds;

[0033] When Δf>0, the fuel cell device is started and the compensation power instruction ΔP is calculated by formula (3): fc :

[0034] (3);

[0035] Where K fc The fuel cell response coefficient is set, and grid-connected power feeding is achieved through the space vector control algorithm of the DC / AC inverter in the fuel cell device, and the power ramp rate is controlled in the range of 1-3MW / min.

[0036] As a preferred solution of the present invention, in the minute-level power compensation layer control mode, multi-dimensional safety constraints are synchronously executed, including:

[0037] The hydrogen storage tank pressure transmitter in the electrolytic hydrogen production device monitors the pressure value pH2 of the hydrogen storage tank in real time. When pH2 is less than 1.5MPa, a hard-wired lockout signal is sent to the fuel cell control system to prohibit its power output. When pH2 is greater than 10MPa, a power increase prohibition instruction is sent to the electrolytic hydrogen production device. At the same time, the frequency change rate is continuously tracked. When |df / dt| is greater than 0.03Hz / s, the emergency load reduction program of the electrolytic hydrogen production device is immediately triggered. f is the grid frequency and t is the time.

[0038] When the emergency load reduction program is triggered, the target power P of the electrolytic hydrogen production device after load reduction is calculated by formula (4): elec_emerg :

[0039] (4);

[0040] Where, The adjustable coefficient is within the range of 0.2-0.6; P elec_rated is the rated power of the electrolytic hydrogen production device;

[0041] By locking 50% of the IGBT power bridge arms of the hydrogen production rectifier control board of the electrolytic hydrogen production device, a power step reduction is achieved; during the load reduction process, the forced ventilation mode of the cooling system of the electrolytic hydrogen production device is simultaneously activated to ensure that the temperature fluctuation of the electrolyzer does not exceed ±5°C. At the same time, the DC bus voltage fluctuation range is monitored and maintained within a safe range of 50V of the rated value fluctuation.

[0042] As a preferred embodiment of the present invention, in S2.3, the hourly energy transfer strategy is:

[0043] Wind-solar power generation power P based on wind-solar power prediction curve and real-time acquisition re , calculate the power deviation ΔP re :

[0044] (5);

[0045] Where, P re_pre is the predicted value of wind and solar power;

[0046] When ΔP re When V > 0, the hydrogen storage process of the hydrogen storage tank is started to control the flow rate V of the hydrogen storage regulating valve in the electrolytic hydrogen production device. H2 :

[0047] (6);

[0048] Where, is the hydrogen energy conversion efficiency; is the hydrogen energy density;

[0049] At the same time, the output power of the fuel cell is improved:

[0050] (7);

[0051] Where, P fc_adj Indicates the fuel cell output power after improvement;

[0052] When ΔP re When <0, the electrolytic hydrogen production device is loaded to , P elec_adj Indicates the target power of the electrolytic hydrogen production device after load increase; when ΔP re >0, activate the three-stage compressor unit of the hydrogen storage tank of the electrolytic hydrogen production device to store hydrogen within the pressure range of 20-35MPa; when ΔP re =0, no adjustment is required.

[0053] As a preferred solution of the present invention, in the S2, during the coordinated adjustment, meteorological satellite cloud image data and station micro-meteorological monitoring data are also collected, and the SCADA system is used to retrieve the historical 72-hour wind and solar power sequence, and the meteorological satellite cloud image data, station micro-meteorological monitoring data and wind and solar power sequence are input into the double-layer LSTM neural network to output the power deviation estimate for the next 15 minutes. ;

[0054] When detected The duration is longer than 90 seconds or Calculate the target pressure value p of the hydrogen storage tank according to the real-time wind and solar power deviation H2_target :

[0055] (8);

[0056] According to p H2_target , the rate pressure is regulated by the compressor unit of the electrolytic hydrogen production device.

[0057] As a preferred solution of the present invention, during the adaptive rate voltage regulation process, the fuel cell standby program is synchronously activated to preheat the proton exchange membrane to a temperature point of 80±5°C, and the SOC working range of the energy storage device is switched to [35%, 75%].

[0058] As a preferred embodiment of the present invention, in S3, the process of controlling the wind turbine generator set to release rotor kinetic energy and adjusting the electrolytic hydrogen production device as an interruptible load to provide virtual inertia support is as follows:

[0059] S3.1, when the absolute value of the grid frequency change rate is detected in real time When t represents time, the virtual inertia control of the doubly fed wind turbine and the interruptible load response of the electrolytic hydrogen production device are synchronously activated:

[0060] The collaborative controller of the energy management system generates joint action instructions, in which the wind turbine side calculates the virtual inertia power P according to the rotor kinetic energy model. virtual , satisfying formula (9):

[0061] (9);

[0062] Where H is the inertia constant; is the rated angular frequency;

[0063] The electrolysis side generates a load reduction flag emerg , satisfying formula (10):

[0064] (10);

[0065] Where, sign is the sign function; f is the grid frequency;

[0066] Contains P virtual and Flag emerg The instruction package is sent to the wind turbine main controller of the wind turbine generator set and the hydrogen production rectifier of the electrolytic hydrogen production device through the time-synchronized GOOSE message, ensuring that the deviation of the start time of the two actions is less than 100 milliseconds;

[0067] S3.2, the doubly fed wind turbine converter managed by the wind turbine main controller receives P virtual After the instruction, the kinetic energy conversion is performed within the rotor mechanical strength safety boundary. The conversion method is to adjust the current component Δi of the q axis of the rotor side converter. qr :

[0068] (11);

[0069] Where K is the torque coefficient; V dc The DC bus voltage of the electric-hydrogen fusion energy system;

[0070] The rotor kinetic energy is converted into electromagnetic power, which is modulated by the grid-side converter space vector and injected into or absorbed into the grid at a ramp rate of dP / dt ≥ 8MW / s. The response delay is controlled within 500 milliseconds. P is the electromagnetic power output by the wind turbine through virtual inertia control.

[0071] S3.3, Electrolysis Hydrogen Production Device Based on Flag emerg Perform interruptible load control.

[0072] As a preferred embodiment of the present invention, in S3.3, the interruptible load control is:

[0073] When Flag emerg When it is greater than 0, the current power is maintained;

[0074] When Flag emerg When the value is less than 0, the load reduction program interlocked with the virtual inertia action of the wind turbine is triggered, and the IGBT bridge arms of the preset proportion are locked by the hydrogen production rectifier control unit of the electrolytic hydrogen production device, realizing a power step reduction within 300 milliseconds;

[0075] The temperature-voltage dual protection is activated during load shedding. If the temperature gradient of the electrolyzer ΔT is greater than 0.1°C / s or the DC voltage exceeds the limit by ±5%, the cooling system of the electrolytic hydrogen production device will be immediately started to operate at full power.

[0076] As a preferred embodiment of the present invention, in said S4, the method for calling the energy storage device, the electrolytic hydrogen production device, and the fuel cell device for power compensation according to priority is:

[0077] S4.1. Real-time calculation of the power deficit ΔP of the electric-hydrogen fusion energy system:

[0078] (12);

[0079] Where, P load is the total load power of the system, P grid is the grid interaction power;

[0080] Start the timer. When ΔP persists for more than 10 seconds, activate the layered compensation strategy, which includes the second-level fluctuation smoothing layer control logic, the minute-level power compensation layer control mode, and the hour-level energy transfer strategy.

[0081] When ΔP persists for a duration greater than or equal to 10 seconds and less than 5 minutes, the compensation responsibility is assigned to the electrolytic hydrogen production device and the power adjustment amount ΔP is calculated. elec :

[0082] (13);

[0083] Where, P elec_max The maximum allowable power of the electrolytic hydrogen production device;

[0084] When ΔP persists for 5 minutes or longer and less than 30 minutes, the responsibility is transferred to the fuel cell device and the output power P is calculated. fc :

[0085] (14);

[0086] Where K fc is the fuel cell droop coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system;

[0087] S4.2. When executing device actions, apply safety boundary constraints simultaneously;

[0088] S4.3. When the power shortage ΔP returns to zero or lasts for more than or equal to 30 minutes, the reset procedure is started: the fuel cell is reset at 0.1P fc_rated / s rate of smooth shutdown, electrolytic hydrogen production device at 0.5P elec_rated / s rate to restore to the economic power point, P fc_rated is the rated power output of the fuel cell.

[0089] As a preferred embodiment of the present invention, in S4.1, the energy storage lithium battery pack of the energy storage device maintains a standby state and participates in the second-level fluctuation smoothing layer control logic adjustment only when 20% < SOC < 80%;

[0090] In S4.3, if the state of charge (SOC) of the energy storage device is detected to be less than 30% during the reset process, the fuel cell charging function is activated and the energy storage lithium battery pack is charged according to formula (15) until the SOC rises to above 40%:

[0091] (15);

[0092] Where, P fc_chg The power when the fuel cell charges the energy storage lithium battery pack; P fc_rated is the rated power of the fuel cell.

[0093] As a preferred solution of the present invention, in S4.2, the safety boundary constraint is:

[0094] For electrolytic hydrogen production, when Δf>0, the power is increased to the target value within 5 seconds through the hydrogen production rectifier, and the electrolytic cell temperature gradient ΔT is monitored in real time. If ΔT>10℃ / min, the power change rate is limited to no more than 30% of the rated value.

[0095] For fuel cell operation, when Δf<0, check the hydrogen tank pressure to meet p H2 Power generation can only be started when the pressure is greater than 2MPa, otherwise the fuel cell operation is skipped and the electrolytic hydrogen production device is forced to reduce power input according to the set dynamic load reduction ratio β.

[0096] As a preferred solution of the present invention, the dynamic load reduction ratio β=0.3+0.01(T-300), where T is The duration of the event is in seconds, with a β cap of 0.5.

[0097] The beneficial effects of the present invention are:

[0098] The present invention realizes multi-time-scale coordinated frequency control by constructing a hierarchical response mechanism at the millisecond level (virtual inertia response of lithium batteries and wind turbines), second level (flexible adjustment of electrolytic hydrogen production devices), and minute level (long-term compensation of fuel cells): lithium battery storage can quickly respond to smooth instantaneous fluctuations, the electrolytic hydrogen production device can quickly absorb the power shortage when the frequency deviation lasts for more than 10s, and the fuel cell takes over compensation according to the droop coefficient when the frequency shortage lasts for ≥5min and reserves a storage adjustment margin, so that the frequency fluctuation suppression rate is improved by more than 40%, and the duration of frequency deviation exceeding ±0.05Hz is shortened by 60%, effectively solving the transient instability problem caused by insufficient inertia of the power grid with a high proportion of new energy.

[0099] The present invention uses an electrolytic hydrogen production device to undertake minute-level power compensation of 10s to 5min, replacing the role of energy storage in traditional solutions that solely supports long-term regulation, reducing the energy storage configuration ratio to less than 15% of the system power; at the same time, it sets SOC hard constraints (charging prohibits SOC>80%, discharging prohibits SOC<20%) and limits the lithium battery to only participating in second-level fluctuation smoothing to avoid deep charging and discharging conditions. Combined with the linkage mechanism of the fuel cell charging the low SOC energy storage during the system reset stage (activated when SOC<30%), the annual energy storage capacity decay rate is compressed from more than 15% to less than 8%, and the system construction cost is reduced by more than 25%.

[0100] The present invention dynamically optimizes the operating point of the hydrogen energy system based on the wind and solar power prediction under steady-state conditions. The electrolyzer consumes the abandoned electricity according to the economic power point, and the fuel cell outputs power at the high-efficiency working point. At the hourly energy transfer layer, according to the wind and solar power deviation ΔP re Control the hydrogen release / storage flow of the hydrogen storage tank to achieve energy shift across time periods, narrow the electrolyzer efficiency fluctuation range from ±10% to ±5%, and increase the wind and solar power absorption rate by 5%-10%.

[0101] The present invention introduces a two-layer LSTM neural network to learn the dynamic changes in wind and solar power generation power in real time, quickly adapt to different operating conditions, provide more flexible power forecasts, and help optimize the control strategies of energy storage and hydrogen production devices.

[0102] The present invention establishes a global safety constraint mechanism throughout the entire process, setting p for the fuel cell H2 <2MPa or T fc >85℃ hard lockout condition; imposes limiting protection on the electrolyzer with a power change rate of less than 30% when the temperature gradient ΔT is greater than 10℃ / min; when insufficient hydrogen pressure triggers fuel cell lockout, the electrolyzer is forced to reduce the load in dynamic proportion β to release the system's adjustment capacity; after the power shortage is eliminated, it smoothly exits the compensation state at a rate of 0.1Prated / s, reducing the risk of equipment over-limit by 50% and extending the system's sustainable frequency regulation time to 30 minutes. BRIEF DESCRIPTION OF THE DRAWINGS

[0103] Figure 1 It is a flow diagram of the method of the present invention;

[0104] Figure 2 It is a schematic diagram of the architecture of the electric-hydrogen fusion energy system of the present invention;

[0105] Figure 3 It is a hierarchical control logic diagram of the method of the present invention;

[0106] Figure 4 It is a comparison chart of simulation results in the verification process of the present invention. DETAILED DESCRIPTION

[0107] The embodiments of the present invention are further described below with reference to the accompanying drawings:

[0108] Example 1: Figure 1 As shown, the dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub includes the following steps:

[0109] S1. For the electric-hydrogen fusion energy system including wind and solar power generation, energy storage, electrolysis hydrogen production, fuel cells and grid interface, real-time collection of multi-source data, including grid frequency deviation value Δf, wind and solar power generation power P re , energy storage device state of charge SOC, hydrogen storage tank pressure p H2 , input power P of electrolytic hydrogen production device elec And the fuel cell output power P fc , forming a multi-dimensional operating parameter set;

[0110] S2. Based on the multi-dimensional operating parameter set and the amplitude and duration of the grid frequency deviation Δf, the energy storage device, electrolysis hydrogen production device, and fuel cell device are hierarchically called for coordinated regulation;

[0111] S3. Based on coordinated regulation, the wind turbine generator set is controlled to release rotor kinetic energy, and the electrolytic hydrogen production device is adjusted as an interruptible load to provide virtual inertia support;

[0112] S4. Based on the current coordinated regulation effect, the energy storage device, electrolysis hydrogen production device, and fuel cell device are called according to priority to perform power compensation to achieve a dynamic balance of the electric-hydrogen fusion energy system.

[0113] The multi-dimensional operating parameter set in S1 provides data support for subsequent regulation. In S2, when the deviation is small, the energy storage device responds within seconds to smooth the fluctuation. If the deviation persists for more than 10 seconds, the hydrogen electrolysis unit or fuel cell unit (including the fuel cell itself and its associated ancillary equipment, control system, etc.) provides minute-by-minute power compensation. If the deviation persists for more than 5 minutes, the hourly energy transfer layer is activated, adjusting the operating state of the hydrogen energy system based on wind and solar power forecasts and real-time power. These various layers of regulation are interconnected to form a dynamic balance control system, completing the initial power balance response. In S3, based on coordinated regulation, when the grid frequency fluctuates rapidly, the wind turbine generator system is further controlled to release rotor kinetic energy. The hydrogen electrolysis unit is also treated as an interruptible load, providing virtual inertia support, enhancing grid frequency and transient stability. This effectively combines rapid support during transients with subsequent power regulation. In S4, depending on the duration of the power shortfall ΔP, the hydrogen electrolysis unit initially assumes minute-by-minute compensation for periods ranging from 10 seconds to 5 minutes, followed by the fuel cell unit taking over longer-term compensation for periods ranging from 5 minutes to 30 minutes. During the compensation process, safety boundary constraints are strictly adhered to to ensure the safe operation of each device. When the power shortage is eliminated or persists for more than 30 minutes, the reset procedure is initiated to smoothly restore each device to its initial operating state, preparing for the next adjustment. The entire power compensation process is closely coordinated with data acquisition, hierarchical adjustment, and virtual inertia support to jointly build a complete dynamic balance control chain for the electric-hydrogen fusion energy system.

[0114] In S1, the method for real-time collection of multi-source data is:

[0115] Deploy a frequency sensor (measuring range 45-55Hz, accuracy ±0.01Hz) at the grid connection point. Use a 16-bit A / D converter for signal sampling and generate a digital value of the frequency deviation every 10ms, i.e., the grid frequency deviation value Δf.

[0116] A wide-range power transmitter (0-500MW, accuracy ±0.2%) is installed at the exit of the wind and solar power stations to synchronously collect the total grid-connected power of wind power and photovoltaic power, that is, the wind and solar power generation power P re ,Data is transmitted to the control center via fiber optic Ethernet (transmission rate 100Mbps), and the end-to-end delay is strictly controlled within 50ms to ensure real-time performance;

[0117] A Hall current sensor (0-5000A, accuracy ±0.2%) and a high-voltage voltage sensor (0-1000V, accuracy ±0.2%) are connected in series at the DC input end of the electrolytic hydrogen production device. The input power, P, is obtained by multiplication. elec Install a three-phase intelligent power meter (0-100MW, accuracy ±0.2%) at the AC output end of the fuel cell to collect the grid-connected power, that is, the fuel cell output power P fc, install the hydrogen storage tank pressure transmitter (0-40MPa, ±0.5%), and collect the hydrogen storage tank pressure p in real time H2 ;

[0118] In S2, the process of coordinated regulation is:

[0119] S2.1, real-time detection of grid frequency deviation value Δf, when When , the preset second-level fluctuation smoothing layer control logic is activated;

[0120] S2.2, if If the duration of the power compensation layer exceeds 10 seconds, it will automatically switch to the preset minute-level power compensation layer control mode;

[0121] S2.3, if If the duration exceeds 5 minutes, the preset hourly energy transfer strategy will be activated.

[0122] In S2.1, the control logic of the second-level fluctuation smoothing layer is:

[0123] The energy storage control unit of the energy storage device calculates the target charge and discharge power P of the energy storage device according to the current grid frequency deviation value Δf ess :

[0124] (1);

[0125] Where K ess is the energy storage frequency modulation coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system;

[0126] When Δf>0, a discharge command is generated, and when Δf<0, a charge command is generated. For example, when Δf=0.06Hz, a 120MW discharge command is generated. The discharge and charge commands are transmitted to the bidirectional DC / AC converter of the energy storage device via the CAN bus communication protocol. The bidirectional DC / AC converter completes the power response within 100 milliseconds, and the power output curve meets the slope requirement of dP / dt≥10MW / s.

[0127] In S2.2, the minute-level power compensation layer control mode is:

[0128] When Δf < 0, the electrolytic hydrogen production device is called to absorb the excess power, and the power regulation amount ΔP is calculated by formula (2): elec :

[0129] (2);

[0130] Where K elec is the droop coefficient of the electrolytic hydrogen production device;

[0131] Based on the power adjustment amount ΔPelec Through the multi-level IGBT pulse width modulation sequence of the hydrogen production rectifier of the electrolysis hydrogen production device, the electrolysis power is linearly increased to the target value within 5 seconds; for example, when the current power is 20MW and the target value is 50MW, it is increased by 6MW per second.

[0132] When Δf>0, the fuel cell device is started and the compensation power instruction ΔP is calculated by formula (3): fc :

[0133] (3);

[0134] Where K fc The fuel cell response coefficient is set, and grid-connected power feeding is achieved through the space vector control algorithm of the DC / AC inverter in the fuel cell device, and the power ramp rate is controlled in the range of 1-3MW / min.

[0135] In the minute-level power compensation layer control mode, multi-dimensional safety constraints are simultaneously executed, including:

[0136] The hydrogen storage tank pressure transmitter in the electrolytic hydrogen production device monitors the pressure value pH2 of the hydrogen storage tank in real time. When pH2 is less than 1.5MPa, a hard-wired lockout signal is sent to the fuel cell control system to prohibit its power output. When pH2 is greater than 10MPa, a power increase prohibition instruction is sent to the electrolytic hydrogen production device. At the same time, the frequency change rate is continuously tracked. When |df / dt| is greater than 0.03Hz / s, the emergency load reduction program of the electrolytic hydrogen production device is immediately triggered. f is the grid frequency and t is the time.

[0137] When the emergency load reduction program is triggered, the target power P of the electrolytic hydrogen production device after load reduction is calculated by formula (4): elec_emerg :

[0138] (4);

[0139] Where, The adjustable coefficient is within the range of 0.2-0.6; P elec_rated is the rated power of the electrolytic hydrogen production device;

[0140] By locking 50% of the IGBT power bridge arms of the hydrogen production rectifier control board of the electrolytic hydrogen production device, a power step reduction is achieved; during the load reduction process, the forced ventilation mode of the cooling system of the electrolytic hydrogen production device is simultaneously activated to ensure that the temperature fluctuation of the electrolyzer does not exceed ±5°C. At the same time, the DC bus voltage fluctuation range is monitored and maintained within a safe range of 50V of the rated value fluctuation.

[0141] In S2.3, the hourly energy transfer strategy is:

[0142] Based on the wind and solar power prediction curve (prediction period 24h, accuracy ±10%) and the real-time collected wind and solar power generation power P re , calculate the power deviation ΔP re :

[0143] (5);

[0144] Where, P re_pre is the predicted value of wind and solar power;

[0145] When ΔP re When V > 0, the hydrogen storage process of the hydrogen storage tank is started to control the flow rate V of the hydrogen storage regulating valve in the electrolytic hydrogen production device. H2 :

[0146] (6);

[0147] Where, is the hydrogen energy conversion efficiency, ranging from 0.7 to 0.85; is the hydrogen energy density;

[0148] At the same time, the output power of the fuel cell is improved:

[0149] (7);

[0150] Where, P fc_adj Indicates the fuel cell output power after improvement;

[0151] When ΔP re When <0, the electrolytic hydrogen production device is loaded to , P elec_adj Indicates the target power of the electrolytic hydrogen production device after load increase; when ΔP re >0, activate the three-stage compressor unit of the hydrogen storage tank of the electrolytic hydrogen production device to store hydrogen within the pressure range of 20-35MPa; when ΔP re =0, no adjustment is required.

[0152] When storing hydrogen within a pressure range of 20-35 MPa, the three-stage hydrogen storage tank compressor unit can employ adaptive hydrogen storage. This system dynamically adjusts the hydrogen storage pressure and rate based on the real-time operating status of the power grid, fluctuations in wind and solar power generation, and the operation of the electrolytic hydrogen production unit, enabling efficient hydrogen storage and utilization. By installing a high-precision pressure sensor in the hydrogen storage tank, the hydrogen pressure within the tank is monitored in real time. Based on the pressure sensor's feedback signal, the control system dynamically adjusts the output power of the electrolytic hydrogen production unit and the opening of the hydrogen storage valve, thereby controlling the hydrogen inflow rate. For example, when the tank pressure approaches the upper limit (e.g., 35 MPa), the electrolytic hydrogen production power is reduced or the hydrogen storage valve opening is decreased; when the pressure falls below the lower limit (e.g., 20 MPa), the electrolytic hydrogen production power is increased or the hydrogen storage valve opening is increased.

[0153] In S3, the process of controlling the wind turbine to release rotor kinetic energy and adjusting the electrolytic hydrogen production device as an interruptible load to provide virtual inertia support is as follows:

[0154] S3.1, when the absolute value of the grid frequency change rate is detected in real time When t represents time, the virtual inertia control of the doubly fed wind turbine and the interruptible load response of the electrolytic hydrogen production device are synchronously activated:

[0155] The collaborative controller of the energy management system generates joint action instructions, in which the wind turbine side calculates the virtual inertia power P according to the rotor kinetic energy model. virtual , satisfying formula (9):

[0156] (9);

[0157] Where H is the inertia constant, which is 3s; is the rated angular frequency, which is 314 rad / s;

[0158] The electrolysis side generates a load reduction flag emerg , satisfying formula (10):

[0159] (10);

[0160] Where, sign is the sign function; f is the grid frequency;

[0161] Contains P virtual and Flag emerg The command packet is sent to the wind turbine main controller of the wind turbine generator set and the hydrogen production rectifier of the electrolytic hydrogen production device through the time-synchronized GOOSE message (delay < 50ms), ensuring that the deviation of the start time of the two actions is less than 100 milliseconds;

[0162] S3.2, the doubly fed wind turbine converter managed by the wind turbine main controller receives P virtual After the instruction, the kinetic energy conversion is performed within the rotor mechanical strength safety boundary. The conversion method is to adjust the current component Δi of the q axis of the rotor side converter. qr :

[0163] (11);

[0164] Where K is the torque coefficient; V dc The DC bus voltage of the electric-hydrogen fusion energy system;

[0165] The rotor kinetic energy is converted into electromagnetic power, which is modulated by the grid-side converter space vector and injected into or absorbed into the grid at a ramp rate of dP / dt ≥ 8MW / s. The response delay is controlled within 500 milliseconds. P is the electromagnetic power output by the wind turbine through virtual inertia control.

[0166] S3.3, Electrolysis Hydrogen Production Device Based on Flag emerg To perform interruptible load control:

[0167] When Flag emerg When it is greater than 0, the current power is maintained;

[0168] When Flag emerg When the value is less than 0, the load reduction program interlocked with the virtual inertia action of the wind turbine is triggered, and the IGBT bridge arms of the preset proportion are locked by the hydrogen production rectifier control unit of the electrolytic hydrogen production device, realizing a power step reduction within 300 milliseconds;

[0169] The temperature-voltage dual protection is activated during load shedding. If the temperature gradient of the electrolyzer ΔT is greater than 0.1°C / s or the DC voltage exceeds the limit by ±5%, the cooling system of the electrolytic hydrogen production device will be immediately started to operate at full power.

[0170] In S4, the method for calling the energy storage device, the electrolytic hydrogen production device, and the fuel cell device for power compensation according to priority is:

[0171] S4.1. Real-time calculation of the power deficit ΔP of the electric-hydrogen fusion energy system:

[0172] (12);

[0173] Where, P load is the total load power of the system, P grid is the grid interaction power (positive for input / negative for output);

[0174] Start the timer. When ΔP persists for more than 10 seconds, activate the layered compensation strategy, which includes the second-level fluctuation smoothing layer control logic, the minute-level power compensation layer control mode, and the hour-level energy transfer strategy.

[0175] When ΔP persists for a duration greater than or equal to 10 seconds and less than 5 minutes, the compensation responsibility is assigned to the electrolytic hydrogen production device and the power adjustment amount ΔP is calculated. elec :

[0176] (13);

[0177] Where, P elec_max The maximum allowable power of the electrolytic hydrogen production device;

[0178] When ΔP persists for 5 minutes or longer and less than 30 minutes, the responsibility is transferred to the fuel cell device and the output power P is calculated. fc :

[0179] (14);

[0180] Where K fc is the fuel cell droop coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system;

[0181] S4.2. When executing device actions, apply safety boundary constraints simultaneously;

[0182] S4.3. When the power shortage ΔP returns to zero or lasts for more than or equal to 30 minutes, the reset procedure is started: the fuel cell is reset at 0.1P fc_rated / s rate of smooth shutdown, electrolytic hydrogen production device at 0.5P elec_rated / s rate to restore to the economic power point, P fc_rated is the rated power output of the fuel cell.

[0183] In S4.1, the energy storage device's lithium battery pack remains in standby mode and participates in the second-level fluctuation smoothing layer control logic adjustment only when 20% < SOC < 80%;

[0184] In S4.2, the safety boundary constraints are:

[0185] For electrolytic hydrogen production, when Δf>0 (excess power), the power is increased to the target value within 5 seconds through the hydrogen production rectifier, while the electrolytic cell temperature gradient ΔT is monitored in real time. If ΔT>10°C / min, the power change rate is limited to no more than 30% of the rated value.

[0186] For fuel cell operation, when Δf < 0 (power shortage exists), check the hydrogen tank pressure to meet p H2 Power generation can only be started when the pressure is greater than 2MPa, otherwise the fuel cell operation is skipped and the electrolytic hydrogen production device is forced to reduce power input according to the set dynamic load reduction ratio β.

[0187] Dynamic load reduction ratio β=0.3+0.01(T-300), where T is The duration of the event is in seconds, with a β cap of 0.5.

[0188] In S4.3, if the state of charge (SOC) of the energy storage device is detected to be less than 30% during the reset process, the fuel cell charging function is activated and the energy storage lithium battery pack is charged according to formula (15) until the SOC rises to above 40%:

[0189] (15);

[0190] Where, P fc_chg The power when the fuel cell charges the energy storage lithium battery pack; P fc_rated is the rated power of the fuel cell.

[0191] The schematic diagram of an exemplary electric-hydrogen fusion energy system is as follows: Figure 2 As shown, Figure 2 It is a multi-energy coupling physical architecture based on a 1500V DC bus: wind turbines and photovoltaic arrays are connected via Boost converters, lithium battery energy storage is charged and discharged via DC / DC converters, proton exchange membrane electrolyzers directly drive hydrogen production, and high-pressure hydrogen storage tanks and fuel cells form a hydrogen-electricity bidirectional channel; the DC bus integrated design eliminates the AC / DC rectification link, reducing the path loss of wind and solar hydrogen production by 2.8%, and achieves efficient grid access through a three-level NPC DC / AC converter, supporting 200ms-level power compensation when wind power suddenly drops by 50%.

[0192] The hierarchical control logic diagram of the method of this embodiment is as follows Figure 3 shown. Figure 3 A four-level hierarchical control system is presented. The frequency detection layer captures grid frequency deviations greater than 0.01Hz in real time, and the safety boundary layer constrains instructions with 12-dimensional parameters. The collaborative control layer achieves second-level response through a virtual inertia algorithm, and the hydrogen energy compensation module schedules minute-level energy transfer. The energy management layer continuously optimizes the economic dispatch model, and the GOOSE protocol ensures cross-layer instruction interaction of ≤10ms, greatly improving system availability.

[0193] Based on the above architecture, the method of this embodiment and the traditional method are simulated and verified. The verification results are as follows: Figure 4 As shown. Figure 4 It can be seen that in the event of grid frequency disturbance, the collaborative control method in this embodiment significantly reduces the frequency fluctuation amplitude from 0.2Hz to 0.05Hz, and shortens the frequency recovery time to less than 500ms compared with the traditional control method; at the same time, the frequency change rate is reduced through the virtual inertia collaborative mechanism, which can effectively suppress the risk of frequency deviation accumulation, solve the technical difficulties of inertia support and dynamic power coordination of new energy power grids, and improve the frequency stability of high-penetration new energy power systems.

[0194] Example 2: Based on Example 1, in S2, during the coordinated adjustment, meteorological satellite cloud image data and station micro-meteorological monitoring data are also collected, and the SCADA system is used to retrieve the historical 72-hour wind and solar power sequence. The meteorological satellite cloud image data, station micro-meteorological monitoring data and wind and solar power sequence are input into the two-layer LSTM neural network to output the power deviation estimate for the next 15 minutes. ;

[0195] When detected The duration is longer than 90 seconds or Calculate the target pressure value p of the hydrogen storage tank according to the real-time wind and solar power deviation H2_target :

[0196] (8);

[0197] According to p H2_target , the rate voltage is adjusted through the compressor unit of the electrolysis hydrogen production device (the three-stage compressor unit of the hydrogen storage tank), the fuel cell standby program is activated synchronously, the proton exchange membrane is preheated to 80±5℃, and the SOC working range of the energy storage device is switched to [35%, 75%].

[0198] Rate voltage regulation can be adaptively adjusted using intelligent algorithms such as fuzzy control and neural network control. Based on multi-dimensional information such as grid frequency deviation, power fluctuation, and hydrogen storage tank pressure, intelligent decisions are made on the operating strategy of the compressor unit to achieve precise control of the hydrogen storage tank pressure.

[0199] During data collection, a meteorological satellite data receiving device is set up to collect real-time infrared / visible light dual-channel cloud image data from the Fengyun-4 satellite (resolution 0.5km, update cycle 5 minutes), and a proton exchange membrane temperature sensor is installed to monitor the core temperature of the fuel cell; a historical data call interface is configured to obtain the wind and solar power sequence of the past 72 hours through the SCADA system (sampling interval 1 second).

[0200] Example 3: A dynamic balance control device for a grid-friendly electric-hydrogen fusion energy hub, comprising:

[0201] one or more processors;

[0202] a memory for storing one or more computer programs;

[0203] When one or more programs are executed by one or more processors, the one or more processors execute the method in embodiment 1 or embodiment 2.

[0204] Embodiment 4: A computer-readable storage medium stores executable instructions thereon, which, when executed by a processor, causes the processor to execute the method in embodiment 1 or embodiment 2.

[0205] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A dynamic balance control method for a grid-friendly electric-hydrogen fusion energy hub, characterized in that: The following steps are involved: S1. For the electric-hydrogen fusion energy system including wind and solar power generation, energy storage, electrolysis hydrogen production, fuel cells and grid interface, real-time collection of multi-source data, including grid frequency deviation value Δf, wind and solar power generation power P re , energy storage device state of charge SOC, hydrogen storage tank pressure p H2 , input power P of electrolytic hydrogen production device elec And the fuel cell output power P fc , forming a multi-dimensional operating parameter set; S2. Based on the multi-dimensional operating parameter set and the amplitude of the grid frequency deviation Δf and the duration of different amplitudes, the energy storage device, electrolysis hydrogen production device, and fuel cell device are hierarchically called for coordinated adjustment. The coordinated adjustment is specifically as follows: S2.1, real-time detection of grid frequency deviation value Δf, when When , the preset second-level fluctuation smoothing layer control logic is activated; S2.2, if If the duration of the power compensation layer exceeds 10 seconds, it will automatically switch to the preset minute-level power compensation layer control mode; S2.3, if If the duration exceeds 5 minutes, the preset hourly energy transfer strategy will be activated; S3. Based on coordinated regulation, the wind turbine generator set is controlled to release rotor kinetic energy, and the electrolytic hydrogen production device is adjusted as an interruptible load to provide virtual inertia support; S4. Based on the current coordinated regulation effect, the energy storage device, electrolytic hydrogen production device, and fuel cell device are called according to priority to perform power compensation to achieve a dynamic balance of the electric-hydrogen fusion energy system. The power compensation is specifically as follows: S4.

1. Real-time calculation of the power deficit ΔP of the electric-hydrogen fusion energy system: （12）； Where, P load is the total load power of the system, P grid is the grid interaction power; Start the timer. When ΔP persists for more than 10 seconds, activate the layered compensation strategy, which includes the second-level fluctuation smoothing layer control logic, the minute-level power compensation layer control mode, and the hour-level energy transfer strategy. When ΔP persists for a duration greater than or equal to 10 seconds and less than 5 minutes, the compensation responsibility is assigned to the electrolytic hydrogen production device and the power adjustment amount ΔP is calculated. elec : （13）； Where, P elec_max The maximum allowable power of the electrolytic hydrogen production device; When ΔP persists for 5 minutes or longer and less than 30 minutes, the responsibility is transferred to the fuel cell device and the output power P is calculated. fc : （14）； Where K fc is the fuel cell droop coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system; S4.

2. When executing device actions, apply safety boundary constraints simultaneously; S4.

3. When the power shortage ΔP returns to zero or lasts for more than or equal to 30 minutes, the reset procedure is started: the fuel cell is reset at 0.1P fc_rated / s rate of smooth shutdown, electrolytic hydrogen production device at 0.5P elec_rated / s rate to restore to the economic power point, P fc_rated is the rated power output of the fuel cell, P elec_rated is the rated power of the electrolytic hydrogen production device.

2. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In the above-mentioned S1, the method for real-time acquisition of multi-source data is: A frequency sensor is deployed at the grid connection point. A 16-bit A / D converter is used for signal sampling. A digital value of the frequency deviation is generated every 10ms. This digital value is the grid frequency deviation value Δf. Install a wide-range power transmitter at the exit of the wind and solar power station to synchronously collect the wind and solar power generation power P re ; A distributed battery management system is used to monitor the single-cell voltage, total current, and ambient temperature of the energy storage lithium battery pack in real time. The sampling frequency is 1kHz, and the state of charge (SOC) of the energy storage device is calculated using the ampere-hour integration method based on open-circuit voltage calibration. The value is updated every 200ms. Install a hydrogen storage tank pressure transmitter to collect real-time hydrogen storage tank pressure p H2 ; The Hall current sensor and the high-voltage voltage sensor are connected in series at the DC input end of the electrolytic hydrogen production device, and the input power P of the electrolytic hydrogen production device is obtained by multiplication. elec ; A three-phase intelligent power meter is installed at the AC output end of the fuel cell to collect the grid-fed power. The grid-fed power is the fuel cell output power P fc .

3. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In S2.1, the control logic of the second-level fluctuation smoothing layer is: The energy storage control unit of the energy storage device calculates the target charge and discharge power P of the energy storage device according to the current grid frequency deviation value Δf ess : （1）； Where K ess is the energy storage frequency modulation coefficient; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system; When Δf>0, a discharge command is generated, and when Δf<0, a charge command is generated; the discharge command and the charge command are transmitted to the bidirectional DC / AC converter of the energy storage device via the CAN bus communication protocol, and the bidirectional DC / AC converter completes the power response within 100 milliseconds.

4. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In S2.2, the minute-level power compensation layer control mode is: When Δf < 0, the electrolytic hydrogen production device is called to absorb the excess power, and the power regulation amount ΔP is calculated by formula (2): elec : （2）； Where K elec is the droop coefficient of the electrolytic hydrogen production device; P base It is the benchmark reference value for power regulation of electric-hydrogen fusion energy system; Based on the power adjustment amount ΔP elec , through the multi-level IGBT pulse width modulation sequence of the hydrogen production rectifier of the electrolysis hydrogen production device, the electrolysis power is linearly increased to the target value within 5 seconds; When Δf>0, the fuel cell device is started and the compensation power instruction ΔP is calculated by formula (3): fc : （3）； Where K fc The fuel cell response coefficient is set, and grid-connected power feeding is achieved through the space vector control algorithm of the DC / AC inverter in the fuel cell device, and the power ramp rate is controlled in the range of 1-3MW / min.

5. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 4 is characterized in that: In the minute-level power compensation layer control mode, multi-dimensional safety constraints are simultaneously executed, including: The hydrogen storage tank pressure transmitter in the electrolytic hydrogen production device monitors the pressure value pH2 of the hydrogen storage tank in real time. When pH2 is less than 1.5MPa, a hard-wired lockout signal is sent to the fuel cell control system to prohibit its power output. When pH2 is greater than 10MPa, a power increase prohibition instruction is sent to the electrolytic hydrogen production device. At the same time, the frequency change rate is continuously tracked. When |df / dt| is greater than 0.03Hz / s, the emergency load reduction program of the electrolytic hydrogen production device is immediately triggered. f is the grid frequency and t is the time. When the emergency load reduction program is triggered, the target power P of the electrolytic hydrogen production device after load reduction is calculated by formula (4): elec_emerg : （4）； Where, The adjustable coefficient is within the range of 0.2-0.6; P elec_rated is the rated power of the electrolytic hydrogen production device; By locking 50% of the IGBT power bridge arms of the hydrogen production rectifier control board of the electrolytic hydrogen production device, a power step reduction is achieved; during the load reduction process, the forced ventilation mode of the cooling system of the electrolytic hydrogen production device is simultaneously activated to ensure that the temperature fluctuation of the electrolyzer does not exceed ±5°C. At the same time, the DC bus voltage fluctuation range is monitored and maintained within a safe range of 50V of the rated value fluctuation.

6. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In S2.3, the hourly energy transfer strategy is: Wind-solar power generation power P based on wind-solar power prediction curve and real-time acquisition re , calculate the power deviation ΔP re : （5）； Where, P re_pre is the predicted value of wind and solar power; When ΔP re When V > 0, the hydrogen storage process of the hydrogen storage tank is started to control the flow rate V of the hydrogen storage regulating valve in the electrolytic hydrogen production device. H2 : （6）； Where, is the hydrogen energy conversion efficiency; is the hydrogen energy density; At the same time, the output power of the fuel cell is improved: （7）； Where, P fc_adj Indicates the fuel cell output power after improvement; When ΔP re When <0, the electrolytic hydrogen production device is loaded to , P elec_adj Indicates the target power of the electrolytic hydrogen production device after load increase; when ΔP re >0, activate the three-stage compressor unit of the hydrogen storage tank of the electrolytic hydrogen production device to store hydrogen within the pressure range of 20-35MPa; when ΔP re =0, no adjustment is required.

7. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In the above S2, during the coordinated adjustment, meteorological satellite cloud image data and station micro-meteorological monitoring data are also collected, and the SCADA system is used to retrieve the historical 72-hour wind and solar power sequence. The meteorological satellite cloud image data, station micro-meteorological monitoring data and wind and solar power sequence are input into the pre-trained two-layer LSTM neural network to output the power deviation estimate for the next 15 minutes. ; When detected The duration is longer than 90 seconds or When P base It is the benchmark reference value for power regulation of the electric-hydrogen fusion energy system; the target pressure value p of the hydrogen storage tank is calculated according to the real-time wind and solar power deviation. H2_target : （8）； Where ΔP re is the power deviation; according to p H2_target , the rate pressure is regulated by the compressor unit of the electrolytic hydrogen production device.

8. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 7 is characterized in that: During the adaptive rate voltage regulation process, the fuel cell standby program is activated synchronously, the proton exchange membrane is preheated to 80±5℃, and the SOC working range of the energy storage device is switched to [35%, 75%].

9. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 1 is characterized in that: In the aforementioned S3, the process of controlling the wind turbine generator set to release rotor kinetic energy and adjusting the electrolytic hydrogen production device as an interruptible load to provide virtual inertia support is as follows: S3.1, when the absolute value of the grid frequency change rate is detected in real time When t represents time, the virtual inertia control of the doubly fed wind turbine and the interruptible load response of the electrolytic hydrogen production device are synchronously activated: The collaborative controller of the energy management system generates joint action instructions, in which the wind turbine side calculates the virtual inertia power P according to the rotor kinetic energy model. virtual , satisfying formula (9): （9）； Where H is the inertia constant; is the rated angular frequency; The electrolysis side generates a load reduction flag emerg , satisfying formula (10): （10）； Where, sign is the sign function; f is the grid frequency; Contains P virtual and Flag emerg The instruction package is sent to the wind turbine main controller of the wind turbine generator set and the hydrogen production rectifier of the electrolytic hydrogen production device through the time-synchronized GOOSE message, ensuring that the deviation of the start time of the two actions is less than 100 milliseconds; S3.2, the doubly fed wind turbine converter managed by the wind turbine main controller receives P virtual After the instruction, the kinetic energy conversion is performed within the rotor mechanical strength safety boundary. The conversion method is to adjust the current component Δi of the q axis of the rotor side converter. qr : （11）； Where K is the torque coefficient; V dc The DC bus voltage of the electric-hydrogen fusion energy system; The rotor kinetic energy is converted into electromagnetic power, which is modulated by the grid-side converter space vector and injected into or absorbed into the grid at a ramp rate of dP / dt ≥ 8MW / s. The response delay is controlled within 500 milliseconds. P is the electromagnetic power output by the wind turbine through virtual inertia control. S3.3, Electrolysis Hydrogen Production Device Based on Flag emerg Perform interruptible load control.

10. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 9 is characterized in that: In S3.3, the interruptible load control is: When Flag emerg When it is greater than 0, the current power is maintained; When Flag emerg When the value is less than 0, the load reduction program interlocked with the virtual inertia action of the wind turbine is triggered, and the IGBT bridge arms of the preset proportion are locked by the hydrogen production rectifier control unit of the electrolytic hydrogen production device, realizing a power step reduction within 300 milliseconds; The temperature-voltage dual protection is activated during load shedding. If the temperature gradient of the electrolyzer ΔT is greater than 0.1°C / s or the DC voltage exceeds the limit by ±5%, the cooling system of the electrolytic hydrogen production device will be immediately started to operate at full power.

11. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 10, characterized in that: In S4.1, the energy storage lithium battery pack of the energy storage device maintains a standby state and participates in the second-level fluctuation smoothing layer control logic adjustment only when 20% < SOC < 80%; In S4.3, if the state of charge (SOC) of the energy storage device is detected to be less than 30% during the reset process, the fuel cell charging function is activated and the energy storage lithium battery pack is charged according to formula (15) until the SOC rises to above 40%: （15）； Where, P fc_chg The power when the fuel cell charges the energy storage lithium battery pack; P fc_rated is the rated power of the fuel cell.

12. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 10, characterized in that: In S4.2, the safety boundary constraint is: For electrolytic hydrogen production, when Δf>0, the power is increased to the target value within 5 seconds through the hydrogen production rectifier, and the electrolytic cell temperature gradient ΔT is monitored in real time. If ΔT>10℃ / min, the power change rate is limited to no more than 30% of the rated value. For fuel cell operation, when Δf<0, check the hydrogen tank pressure to meet p H2 Power generation can only be started when the pressure is greater than 2MPa, otherwise the fuel cell operation is skipped and the electrolytic hydrogen production device is forced to reduce power input according to the set dynamic load reduction ratio β.

13. The dynamic balance control method of the grid-friendly electric-hydrogen fusion energy hub according to claim 12, characterized in that: Dynamic load reduction ratio β=0.3+0.01(T-300), where T is The duration of the event is in seconds, with a β cap of 0.5.

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