Green electricity hydrogen production power adaptive regulation system and method based on photovoltaic power output prediction

Abstract

The present invention discloses a green electricity hydrogen production power adaptive regulation system and method based on photovoltaic output prediction. The present invention relates to the technical field of green electricity hydrogen production, and solves the technical problems that real-time matching of photovoltaic output leads to a high light abandonment rate, unstable operation of equipment, and it is difficult to maximize the green electricity consumption efficiency on the premise of ensuring equipment safety. The present invention calculates the solar position and theoretical irradiance by integrating historical photovoltaic data and meteorological forecast data, predicts the short-term photovoltaic power generation output power, provides a lead time for hydrogen production power regulation, calculates the power deviation through a PID controller, dynamically adjusts the hydrogen production power, and realizes a second-level response. At the same time, the equipment constraint upper limit is introduced. When the total power exceeds the safety threshold, the regulation power is automatically corrected to avoid overload. Then, the secondary regulation signal is combined, and the regulation power is directly deduced by the safety threshold, reducing the signal processing link and improving the regulation efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of green power hydrogen production, and specifically to a green power hydrogen production power adaptive regulation system and method based on photovoltaic output prediction. Background Technique

[0002] Green power hydrogen production (using renewable energy to electrolyze water to produce hydrogen) has become an important way to absorb excess photovoltaic power and produce zero-carbon hydrogen energy.

[0003] According to the patent application with the publication number CN116988079A, an electrolytic water hydrogen production system and its control method are disclosed. By setting a hydrogen buffer tank and controlling the opening of the electrolytic water hydrogen production system according to the output power of the green power supply device or only controlling the heating of hydrogen by the drying device. In this way, when the output power does not meet the starting power of the electrolytic water hydrogen production equipment, the drying device can be controlled alone to heat the hydrogen entering its interior from the hydrogen buffer tank. The heated hydrogen exchanges heat with the alkaline solution, causing the alkaline solution to quickly heat up, thereby shortening the cold start time of the electrolytic water hydrogen production equipment. When the output power meets the starting power of the electrolytic water hydrogen production equipment, the electrolytic water hydrogen production equipment can be quickly started.

[0004] However, photovoltaic power generation has intermittency and volatility, and traditional hydrogen production systems are difficult to match the photovoltaic output in real time, resulting in a high light abandonment rate and unstable operation of equipment. At the same time, the hydrogen production volume in the hydrogen production process is significantly affected by environmental factors such as pressure and temperature. The existing regulation systems lack the adaptive adjustment ability of multi-source data fusion and are difficult to maximize the green power consumption efficiency while ensuring the safety of the equipment. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a green power hydrogen production power adaptive regulation system and method based on photovoltaic output prediction, which solves the problems of high light abandonment rate and unstable equipment operation caused by the inability to match the photovoltaic output in real time, and is difficult to maximize the green power consumption efficiency while ensuring the safety of the equipment.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A green power hydrogen production power adaptive regulation system based on photovoltaic output prediction, including:

[0007] A photovoltaic power generation prediction unit, which is used to calculate the short-term output power of photovoltaic modules according to the multi-source information transmitted by the multi-source information collection unit and transmit it to the hydrogen production power analysis unit;

[0008] A hydrogen production power analysis unit, which is used to calculate the adjustment power of the hydrogen production equipment according to the short-term output power of the photovoltaic modules, calculate the corresponding adjustment power using the PID control algorithm, match it with the upper limit of the constraint, generate a normal adjustment signal, and transmit it to the adaptive regulation processing unit at the same time;

[0009] An adaptive regulation processing unit, which is used to regulate the hydrogen production equipment according to the normal regulation signal, and at the same time obtain the hydrogen production effect after regulation and match it with the expected effect. If it does not meet the requirements, a production effect regulation signal is generated;

[0010] Analyze the effect regulation signal, determine the abnormal factors in the current work according to the normal working factors, and perform regulation processing on the abnormal factors to generate regulation processing information, and at the same time transmit it to the regulation information display unit.

[0011] As a further solution of the present invention, the system further includes a multi-source information acquisition unit and a regulation information display unit;

[0012] The multi-source information acquisition unit is used to collect multi-source information, including historical photovoltaic data and weather forecast data, and transmit it to the photovoltaic power generation prediction unit;

[0013] The regulation information display unit is used to display the regulation processing information to the corresponding operator.

[0014] As a further solution of the present invention, the specific method for the photovoltaic power generation prediction unit to calculate the short-term output power of the photovoltaic module is:

[0015] According to the longitude, latitude, date and time, calculate the solar altitude angle and azimuth angle, and determine the theoretical irradiance. At the same time, according to the formula Calculate the output power P of the photovoltaic module, where P STC Is the rated power of the photovoltaic module under standard test conditions;

[0016] Where G is the theoretical irradiance, G STC Is the light intensity under standard test conditions, Is the power temperature coefficient of the photovoltaic module, T is the actual working temperature of the photovoltaic module, T STC Is the temperature under standard test conditions, Is the inverter efficiency.

[0017] As a further solution of the present invention, the specific method for the hydrogen production power analysis unit to calculate the corresponding regulation power by using the PID control algorithm is:

[0018] Obtain the current actual power P target (t) of the hydrogen production equipment, and according to the formula Calculate the power deviation between the photovoltaic real-time power and the hydrogen production power , and at the same time use a proportional-integral-differential controller to adjust the power of the hydrogen production equipment. Its control formula is: , where K p , K i And K dare the proportional, integral, and differential coefficients respectively. P represents the output power of the photovoltaic module, and P el (t) represents the target input power corresponding to the hydrogen production equipment at the current moment t. P el (t + 1) represents the target input power corresponding to the hydrogen production equipment at the next moment t + 1. t represents the corresponding moment t. According to the above formula, the adjustment power P el (t + 1) corresponding to the hydrogen production equipment is calculated.

[0019] As a further solution of the present invention, the specific manner in which the hydrogen production power analysis unit generates a normal adjustment signal is as follows:

[0020] Calculate the sum of the adjustment power P el (t + 1) and the current actual power P target (t), which is denoted as the total power Pz. At the same time, obtain the constraint upper limit P el，max corresponding to the hydrogen production equipment, and compare the two;

[0021] If the total power Pz ≥ the constraint upper limit P el，max , then generate a secondary adjustment signal, and at the same time analyze the secondary adjustment signal to adjust the current actual power with the constraint upper limit P el，max as the standard, and generate a normal adjustment signal;

[0022] On the contrary, if the total power Pz < the constraint upper limit P el，max , then generate a normal adjustment signal and transmit it to the adaptive control processing unit.

[0023] As a further solution of the present invention, the specific manner in which the adaptive control processing unit adjusts the hydrogen production equipment according to the normal adjustment signal is as follows:

[0024] Obtain the hydrogen production effect corresponding to the hydrogen production equipment after power adjustment, and the hydrogen production effect is the hydrogen production amount. At the same time, compare the hydrogen production effect with the expected effect. If the hydrogen production effect does not meet the expected effect, generate an effect adjustment signal. On the contrary, if the hydrogen production effect meets the expected effect, generate a normal monitoring information and transmit it to the control information display unit at the same time.

[0025] As a further solution of the present invention, the specific manner in which the adaptive control processing unit analyzes the effect adjustment signal is as follows:

[0026] Obtain the external factors that affect the hydrogen production effect, and at the same time obtain the working environment factors corresponding to the expected effect in the historical data, and organize them to obtain the normal working factors. Match the current real-time environment factors with the normal working factors to determine the abnormal factors, and perform corresponding adjustment analysis and processing according to the abnormal factors.

[0027] As a further solution of the present invention, the specific manner in which the adaptive regulation processing unit performs corresponding regulation analysis processing according to abnormal factors is as follows:

[0028] Perform regulation analysis on the abnormal factor of pressure, obtain the current hydrogen pressure of the electrolytic cell, calculate the difference between the current hydrogen pressure and the normal working pressure, and determine the regulation direction according to the difference. At the same time, generate pressure regulation information based on the normal working pressure as a standard;

[0029] Perform regulation analysis on the abnormal factor of temperature, obtain the current temperature of the electrolytic cell, calculate the temperature difference between the current temperature and the normal working temperature, determine the regulation direction according to the temperature difference, and generate temperature regulation information based on the normal working temperature as a standard;

[0030] Then transmit the generated regulation processing information to the regulation information display unit.

[0031] The green hydrogen production power adaptive regulation method based on photovoltaic power output prediction specifically includes the following steps:

[0032] Step 1: Collect multi-source information and calculate the short-term photovoltaic power generation power;

[0033] Step 2: Calculate the power deviation between the short-term photovoltaic power generation power and the actual power of the hydrogen production equipment, and use the PID control algorithm to calculate the adjustment power;

[0034] Step 3: Determine whether the adjustment power meets the constraint upper limit of the hydrogen production equipment. If not, generate a secondary adjustment signal and adjust the actual power based on the constraint upper limit to generate a normal adjustment signal;

[0035] Step 4: Adjust the hydrogen production equipment based on the normal adjustment signal, obtain the hydrogen production effect after adjustment, and compare it with the expected effect. If not satisfied, generate an effect adjustment signal;

[0036] Step 5: Analyze the obtained effect adjustment signal, determine the abnormal factor according to the normal working factors, and perform corresponding adjustments based on the abnormal factor to generate adjustment processing information.

[0037] The present invention provides a green hydrogen production power adaptive regulation system and method based on photovoltaic power output prediction. Compared with the prior art, it has the following beneficial effects:

[0038] By integrating historical photovoltaic data and weather forecast data, the present invention calculates the solar position and theoretical irradiance, predicts the short-term photovoltaic power generation output power, provides a lead for hydrogen production power regulation, calculates the power deviation through a PID controller, dynamically adjusts the hydrogen production power, and achieves a second-level response. At the same time, the upper limit of equipment constraints is introduced. When the total power exceeds the safety threshold, the regulation power is automatically corrected to avoid overload. Then, the secondary regulation signal is combined, and the regulation power is directly deduced by the safety threshold, reducing the signal processing link and improving the regulation efficiency.

[0039] The present invention monitors external factors such as hydrogen pressure and electrolyzer temperature in real time, compares them with historical normal operating parameters, quickly locates abnormalities, and automatically generates adjustment instructions according to the pressure / temperature difference to ensure that the hydrogen production effect is stable within the expected range. Brief Description of the Drawings

[0040] Figure 1 is the system block diagram of the present invention;

[0041] Figure 2 is the step method diagram of the present invention. Detailed Embodiments

[0042] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] Embodiment 1

[0044] Please refer to Figure 1 , this application provides a green hydrogen production power adaptive regulation system based on photovoltaic output prediction, including a multi-source information acquisition unit, a photovoltaic power generation prediction unit, a hydrogen production power analysis unit, an adaptive regulation processing unit, and a regulation information display unit, and in combination with Figure 1 it can be known that the above functional units are connected in a one-way electrical manner.

[0045] The multi-source information acquisition unit is used to obtain historical photovoltaic data and weather forecast data. The historical photovoltaic data includes historical active power, irradiance, temperature, humidity, wind speed, etc. The weather forecast data is mainly the next-day weather data, including irradiance (or total solar radiation), temperature, cloud cover, precipitation probability, wind speed and direction, etc. (which can be obtained through weather APIs, such as AccuWeather, OpenWeatherMap, or domestic meteorological agency data), and transmits it to the photovoltaic power generation prediction unit.

[0046] Photovoltaic power generation prediction unit, which is used to calculate the short-term photovoltaic power generation power according to the acquired multi-source information, and the specific calculation method is as follows:

[0047] According to the latitude and longitude of the photovoltaic power station, combined with the current date and time information, use astronomical algorithms to calculate the solar altitude angle and azimuth angle. These angle parameters are the key to determining the incident angle of sunlight and are crucial for the subsequent calculation of theoretical irradiance. For example, assume that a photovoltaic power station is located at 30°N and 120°E. At 10 am on July 1, 2025, through relevant algorithms, the solar altitude angle at this time can be obtained to be approximately 60°, and the azimuth angle is approximately 120°. Based on the calculated solar altitude angle and azimuth angle, considering the effects of atmospheric refraction, scattering and other factors, determine the theoretical irradiance G reaching the surface of the photovoltaic module. At the same time, according to the formula Calculate the output power P of the photovoltaic module, where P STC is the rated power of the photovoltaic module under standard test conditions. The specific standard test conditions are generally specified as: the light intensity is 1000W / m 2 , the battery temperature is 25°C, the air quality coefficient is 1.5, G is the actual light intensity, which is equivalent to the calculated theoretical irradiance, G STC is the light intensity under standard test conditions, and the specific value is 1000W / m 2 , is the power temperature coefficient of the photovoltaic module, T is the actual working temperature of the photovoltaic module, T STC is the temperature under standard test conditions, is the inverter efficiency, which is a dimensionless coefficient and usually takes values between 0 and 1 (such as 0.9 - 0.98);

[0048] And the output power P of the photovoltaic module calculated according to the above formula is the short-term photovoltaic output power, and the short-term photovoltaic output power is transmitted to the hydrogen production power analysis unit.

[0049] For example, if a certain photovoltaic module P STC is 300W, and the calculated G is 800W / m 2 , is -0.3% / °C, T is 30°C, is 0.95, and further substituting into the above formula can calculate that the short-term photovoltaic output power P is 231.66W.

[0050] Hydrogen production power analysis unit, which is used to adjust and process the hydrogen production power according to the acquired short-term photovoltaic output power. The specific adjustment and processing method is as follows:

[0051] Obtain the current actual power P target (t) of the hydrogen production equipment, and according to the formula Calculate the power deviation between the real-time photovoltaic power and the hydrogen production power , and at the same time, use a proportional-integral-derivative (PID) controller to adjust the power of the hydrogen production equipment. Its control formula is: , where K p , K i and K d are the proportional, integral, and derivative coefficients respectively. P represents the output power of the photovoltaic module, and P el (t) represents the target input power corresponding to the hydrogen production equipment at the current time t, and P el (t + 1) represents the target input power corresponding to the hydrogen production equipment at the next time t + 1. t represents the corresponding time t. According to the above formula, the adjustment power P el (t + 1) corresponding to the hydrogen production equipment is calculated, and the sum of the adjustment power P el (t + 1) and the current actual power P target (t) is recorded as the total power Pz. At the same time, the constraint upper limit P el，max corresponding to the hydrogen production equipment is obtained, and it is compared with the total power Pz;

[0052] If the total power Pz ≥ the constraint upper limit P el，max , it means that adjusting based on the current adjustment power P el (t + 1) there is an overload situation of the equipment, and a secondary adjustment signal is generated. At the same time, the secondary adjustment signal is analyzed, and the current actual power is adjusted with the constraint upper limit P el，max as the standard, and a normal adjustment signal is generated. On the contrary, if the total power Pz < the constraint upper limit P el，max , it means that adjusting based on the current adjustment power P el (t + 1) there is no overload situation of the equipment. At the same time, a normal adjustment signal is generated and transmitted to the adaptive control processing unit.

[0053] For example, at a certain time t, the current actual power P target (t) of the hydrogen production equipment measured by the power sensor is 200 kW. According to the real-time photovoltaic power and the system optimization strategy, the target power P el (t) is determined to be 220 kW. The power deviation is calculated to be 20 KW using the formula. At the same time, after professional tuning, K p of a certain hydrogen production equipment is 0.5, K i is 0.1, and K d is 0.2. The power deviation = 20 kW is substituted into the control formula to calculate P el(t + 1) is 230 + 2t. Assume that after one control cycle (time interval is 1 minute), the adjusted power is 230 + 2×1 = 232 KW. Further, according to the formula, the total power Pz = 232 + 200 KW = 432 KW. At the same time, obtain the upper limit of the constraint P el，max = 450 KW corresponding to the hydrogen production equipment, compare it with the total power of 432 kW, and generate a normal adjustment signal.

[0054] An adaptive control and regulation processing unit, which is used to analyze the obtained normal adjustment signal, obtain the hydrogen production effect corresponding to the hydrogen production equipment after power adjustment, and the hydrogen production effect here is specifically manifested as the hydrogen production volume. At the same time, compare the hydrogen production effect with the expected effect, and the expected effect is set by the operator himself. If the hydrogen production effect does not meet the expected effect, and here it specifically means that the hydrogen production volume is greater than the production volume of the expected effect, then generate an effect adjustment signal. On the contrary, if the hydrogen production effect meets the expected effect, and here it specifically means that the hydrogen production volume is less than the production volume of the expected effect, then generate normal monitoring information and transmit it to the control information display unit at the same time;

[0055] The hydrogen production effect is mainly measured by the hydrogen production volume. Through devices such as high-precision flow sensors installed on the hydrogen production equipment, the hydrogen production volume data is collected in real time. For example, in a certain period of time, for the hydrogen production equipment after power adjustment, its hydrogen production volume is fed back by the sensor as 50 m 3 / h. Compare the obtained hydrogen production effect (hydrogen production volume) with the expected effect preset by the operator. The expected effect is the target value set by the operator according to factors such as actual production requirements and equipment production capacity planning. For example, the expected hydrogen production volume set by the operator is 45 m 3 / h;

[0056] If the actual hydrogen production volume is greater than the production volume of the expected effect, that is, 50 m 3 / h > 45 m 3 / h, it indicates that the current operating state of the hydrogen production equipment exceeds the expected setting. At this time, the adaptive control and regulation processing unit will generate an effect adjustment signal. If the actual hydrogen production volume is less than the production volume of the expected effect, that is, the actual production volume meets or is lower than the expected setting, such as the hydrogen production volume is 40 m 3 / h < 45 m 3 / h, then generate normal monitoring information. This indicates that the current operation of the hydrogen production equipment basically meets the expectations, and the system can continue to monitor and operate according to the current state.

[0057] Analyze the obtained effect adjustment signal to obtain external factors that affect the hydrogen production effect. Here, the external factors include hydrogen pressure and electrolyzer temperature. At the same time, obtain the working environment factors corresponding to the expected effect in historical data, and organize them to obtain normal working factors. Match the current real-time environment factors with the normal working factors to determine abnormal factors, and perform corresponding adjustment analysis and processing according to the abnormal factors to generate adjustment processing information. The specific adjustment analysis and processing methods are as follows:

[0058] For the abnormal factor of pressure, perform adjustment analysis. Obtain the current hydrogen pressure of the electrolyzer, calculate the difference between the current hydrogen pressure and the normal working pressure, and judge the adjustment direction according to the difference. Here, the adjustment direction is expressed as increasing or decreasing pressure adjustment. At the same time, generate pressure adjustment information based on the normal working pressure as the standard;

[0059] For the abnormal factor of temperature, perform adjustment analysis. Obtain the current temperature of the electrolyzer, and calculate the temperature difference between the current temperature and the normal working temperature. At the same time, determine the adjustment direction based on the temperature difference, and generate temperature adjustment information based on the normal working temperature as the standard;

[0060] Then transmit the generated adjustment processing information to the control information display unit.

[0061] For the effect adjustment signal generated when the hydrogen production effect fails to meet the expectation, it is necessary to deeply analyze the external factors that affect the hydrogen production effect (such as hydrogen pressure, electrolyzer temperature), locate the abnormal factors through historical data comparison, and implement precise adjustment. After receiving the effect adjustment signal (such as the hydrogen production is greater than expected), the system automatically starts the external factor analysis module and real-time collects the following data:

[0062] Hydrogen pressure: The partial pressure of hydrogen in the electrolyzer (unit: MPa), which reflects the degree of gas aggregation and the reaction equilibrium state.

[0063] Electrolyzer temperature: The temperature of the electrolyte or the electrode surface (unit: °C), which directly affects the reaction rate and the stability of the equipment;

[0064] At the same time, retrieve the working environment factors (such as the pressure / temperature data with qualified production in the past 7 days) that match the expected effect in historical data, and determine the normal working factor range through statistical analysis (such as mean, standard deviation):

[0065] Normal working pressure: P norm ± (such as 0.8 - 1.2 MPa), P norm represents the normal working pressure reference value designed for the electrolyzer, represents the tolerance range of the allowable pressure fluctuation.

[0066] Normal working temperature: T norm ± (such as 60 - 80 °C, for alkaline electrolyzers), T norm represents the reference value of the normal operating temperature of the electrolyzer design, represents the tolerance range of the allowable temperature fluctuation.

[0067] Compare the current real - time environmental factors with the normal operating factor range to identify abnormal factors:

[0068] Abnormal pressure: If the current pressure P real >P norm + or P real <P norm - ,P real represents the current pressure of hydrogen in the electrolyzer, and it is determined as abnormal pressure.

[0069] Abnormal temperature: If the current temperature T real >T norm + or T real <T norm - ,T real represents the current temperature of the electrolyzer, and it is determined as abnormal temperature.

[0070] The expected hydrogen production is 50 Nm 3 / h, and the actual production is 60 Nm 3 / h (exceeding the expectation), triggering the effect adjustment signal.

[0071] Real - time acquisition: The hydrogen pressure P real = 1.5 MPa (normal range 0.8 - 1.2 MPa), and the temperature T real = 70 °C (normal range 60 - 80 °C).

[0072] Conclusion: Abnormal pressure (high), normal temperature.

[0073] Difference calculation and direction judgment

[0074] Pressure difference: P real -P norm (Example: 1.5 - 1.0 = 0.5 MPa, a positive value indicates that the pressure is high).

[0075] Adjustment direction: The pressure needs to be reduced (because the current pressure is higher than the normal upper limit).

[0076] Generate pressure adjustment information: Adjust the pressure to the normal range. Taking P norm = 1.0 MPa as the standard, set the adjustment gradient (such as reducing 0.1 MPa each time, and completing it in 5 times), and the corresponding execution instruction is: Open the hydrogen vent valve to release some gas;

[0077] Generation instruction: Current pressure 1.5 MPa → Target pressure 1.0 MPa, adjusted in 5 steps, decreasing by 0.1 MPa every 10 minutes until reaching the standard.

[0078] Analysis of abnormal temperature adjustment

[0079] Temperature difference: T real -T norm , (if T real = 50 °C, T norm = 70 °C, then the temperature difference is -20 °C, and the negative value indicates that the temperature is on the low side).

[0080] Adjustment direction: The temperature needs to be increased (because the current temperature is lower than the normal lower limit).

[0081] Adjust the temperature to the normal range. Taking T norm = 70 °C as the standard, start the heating system, turn on the electrolyte heating rod, set the heating rate to 5 °C per minute, reduce the cooling water flow rate, and reduce heat dissipation;

[0082] Generation instruction: Current temperature 50 °C → Target temperature 70 °C, continuously increase the temperature through the heating rod, and reach the standard within 30 minutes.

[0083] Regulation information display unit, which is used to display the obtained adjustment processing information to the corresponding management personnel.

[0084] Embodiment 2

[0085] Please refer to Figure 2 , this application provides a green hydrogen production power adaptive regulation method based on photovoltaic power output prediction, and this method specifically includes the following steps:

[0086] Step 1: Collect multi-source information and calculate the short-term photovoltaic power generation power;

[0087] Step 2: Calculate the power deviation between the short-term photovoltaic power generation power and the actual power of the hydrogen production equipment, and use the PID control algorithm to calculate the adjustment power, and the specific processing method is the same as the processing method of photovoltaic power generation prediction in Embodiment 1;

[0088] Step 3: Judge whether the adjustment power meets the constraint upper limit of the hydrogen production equipment. If not, generate a secondary adjustment signal, and adjust the actual power with the constraint upper limit as the standard to generate a normal adjustment signal, and the specific processing method is the same as the processing method of the hydrogen production power analysis unit in Embodiment 1;

[0089] Step 4: Adjust the hydrogen production equipment based on the normal adjustment signal, and obtain the adjusted hydrogen production effect. At the same time, compare it with the expected effect. If the generation effect adjustment signal is not satisfied, and the specific processing method is the same as that of the adaptive control processing unit in Embodiment 1;

[0090] Step 5: Analyze the obtained effect adjustment signal, determine the abnormal factors according to the normal working factors, and perform corresponding adjustments based on the abnormal factors to generate adjustment processing information. The specific processing method is the same as that of the adaptive control processing unit in Embodiment 1.

[0091] Some of the data in the above formula are taken for numerical calculation without substituting parameter units. At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0092] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction is characterized by: include: A photovoltaic power generation prediction unit is used to calculate the short-term photovoltaic module output power based on the multi-source information transmitted by the multi-source information acquisition unit, and transmit the calculated output power to the hydrogen production power analysis unit; The hydrogen production power analysis unit is used to calculate the regulation power of the hydrogen production equipment based on the short-term output power of the photovoltaic modules. The PID control algorithm is used to calculate the corresponding regulation power, match it with the constraint upper limit, generate a normal regulation signal, and transmit it to the adaptive control processing unit at the same time. The adaptive control processing unit is used to adjust the hydrogen production equipment according to the normal adjustment signal, and at the same time obtain the adjusted hydrogen production effect and match it with the expected effect. If it does not meet the requirements, an effect adjustment signal is generated; The effect adjustment signal is analyzed, the abnormal factors of the current operation are determined according to the normal working factors, and the abnormal factors are adjusted to generate adjustment processing information, which is then transmitted to the control information display unit.

2. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The system also includes a multi-source information acquisition unit and a control information display unit; A multi-source information acquisition unit is used to collect multi-source information, including historical photovoltaic data and weather forecast data, and transmit it to the photovoltaic power generation prediction unit; The control information display unit is used to display the control processing information to the corresponding operator.

3. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The photovoltaic power generation prediction unit calculates the short-term photovoltaic module output power in the following specific manner: According to the longitude and latitude, date and time, calculate the solar altitude angle, azimuth angle, and determine the theoretical irradiance. At the same time, according to the formula The output power P of the photovoltaic module is calculated, where P STC is the rated power of the photovoltaic module under standard test conditions; Where G is the theoretical radiance, G STC is the light intensity under standard test conditions, is the power temperature coefficient of the photovoltaic module, T is the actual operating temperature of the photovoltaic module, T STC is the temperature under standard test conditions, is the inverter efficiency.

4. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The specific method in which the hydrogen production power analysis unit uses the PID control algorithm to calculate the corresponding adjustment power is: Get the current actual power P of the hydrogen production equipment target (t), and according to the formula Calculate the power deviation between photovoltaic real-time power and hydrogen production power At the same time, a proportional-integral-differential controller is used to adjust the power of the hydrogen production equipment. The control formula is: , where K p , K i and K d They are proportional, integral and differential coefficients respectively, P represents the output power of photovoltaic modules, P el (t) represents the target input power of the hydrogen production equipment at the current time t, P el (t+1) represents the target input power of the hydrogen production equipment at the next moment t+1, and t represents the corresponding moment t. The corresponding adjustment power P of the hydrogen production equipment is calculated according to the above formula. el (t+1).

5. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The specific method for the hydrogen production power analysis unit to generate a normal adjustment signal is: Calculate the regulation power P el (t+1) and the current actual power P target The sum of the values of (t) is recorded as the total power Pz, and the constraint upper limit P corresponding to the hydrogen production equipment is obtained at the same time. el，max and compare the two; If the total power Pz ≥ the upper limit P el，max , then generate the secondary adjustment signal, and analyze the secondary adjustment signal to constrain the upper limit P el，max Adjust the current actual power according to the standard and generate a normal adjustment signal; On the contrary, if the total power Pz < the upper limit P el，max , a normal adjustment signal is generated and transmitted to the adaptive control processing unit.

6. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The specific manner in which the adaptive control processing unit adjusts the hydrogen production equipment according to the normal adjustment signal is: The hydrogen production effect corresponding to the hydrogen production equipment after power adjustment is obtained, and the hydrogen production effect is the hydrogen output. At the same time, the hydrogen production effect is compared with the expected effect. If the hydrogen production effect does not meet the expected effect, an effect adjustment signal is generated. On the contrary, if the hydrogen production effect meets the expected effect, normal monitoring information is generated and transmitted to the control information display unit.

7. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 1 is characterized in that: The specific method in which the adaptive control processing unit analyzes the effect adjustment signal is as follows: Obtain external factors that affect the hydrogen production effect, and at the same time obtain the working environment factors corresponding to the expected effect in historical data, and organize them to obtain normal working factors. Match the current real-time environmental factors with the normal working factors, determine the abnormal factors, and perform corresponding adjustments and analysis based on the abnormal factors.

8. The green electricity hydrogen production power adaptive control system based on photovoltaic output prediction according to claim 7 is characterized in that: The specific manner in which the adaptive control processing unit performs corresponding adjustment and analysis processing according to abnormal factors is as follows: When the abnormal factor is pressure, the system performs adjustment analysis, obtains the current hydrogen pressure of the electrolyzer, calculates the difference between the current hydrogen pressure and the normal working pressure, and determines the adjustment direction based on the difference. At the same time, it generates pressure adjustment information based on the normal working pressure; If the abnormal factor is temperature, the system will adjust and analyze the current temperature of the electrolytic cell, calculate the temperature difference between the current temperature and the normal working temperature, and determine the adjustment direction based on the temperature difference. The system will then generate temperature adjustment information based on the normal working temperature. The generated adjustment processing information is then transmitted to the control information display unit.

9. A method for adaptively controlling green electricity hydrogen production power based on photovoltaic output prediction, which is executed by the green electricity hydrogen production power adaptive control system according to any one of claims 1 to 8, characterized in that: The method specifically comprises the following steps: Step 1: Collect multi-source information and calculate short-term photovoltaic power generation; Step 2: Calculate the power deviation between the short-term photovoltaic power generation and the actual power of the hydrogen production equipment, and use the PID control algorithm to calculate the regulated power; Step 3: Determine whether the regulated power meets the upper limit of the hydrogen production equipment constraint. If not, generate a secondary regulation signal, and adjust the actual power based on the upper limit constraint to generate a normal regulation signal. Step 4: Adjust the hydrogen production equipment based on the normal adjustment signal, and obtain the hydrogen production effect after adjustment, and compare it with the expected effect. If it does not meet the requirements, generate an effect adjustment signal; Step 5: Analyze the obtained effect adjustment signal, determine the abnormal factors according to the normal working factors, make corresponding adjustments based on the abnormal factors, and generate adjustment processing information.

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