Wind, light and hydrogen storage and charging integrated intelligent management system

Abstract

The invention relates to a wind, light and hydrogen storage and charging integrated intelligent management system which comprises a wind power generation device, a solar power generation device, a methanol reforming hydrogen production device, an energy storage device, a charging device, an intelligent management module and a micro-grid control module. The wind power generation device and the solar power generation device are respectively connected with the methanol reforming hydrogen production device, the energy storage device and the micro-grid control module and are used for collecting and converting wind energy and solar energy; the methanol reforming hydrogen production device converts methanol into hydrogen, and the hydrogen is stored through the hydrogen storage device; the energy storage device comprises a battery energy storage device and a super capacitor energy storage device and is used for storing electric energy and releasing the electric energy when needed; the wind-light-hydrogen storage and charging integrated intelligent management system provided by the invention overcomes the defects in the prior art, realizes intelligent coordination control of links such as wind energy, solar energy, hydrogen production, energy storage and charging, and improves the energy utilization efficiency, safety and intelligent level of the system.

Description

Technical Field

[0001] The present invention belongs to the field of new energy technology, and specifically relates to an integrated wind, solar, hydrogen storage and charging intelligent management system. Background Art

[0002] With the growth of global energy demand and the improvement of environmental protection awareness, the development and utilization of renewable energy has become an important development direction. Wind and solar energy are clean and renewable energy sources with inexhaustible characteristics. However, due to the intermittent and unstable nature of wind and solar energy, their large-scale access to the power system faces challenges.

[0003] In order to improve the utilization efficiency of renewable energy, energy storage systems and hydrogen production technologies are often introduced. Methanol reforming hydrogen production technology converts methanol into hydrogen and uses hydrogen as an energy carrier to achieve efficient storage and utilization of energy. In addition, with the popularization of electric vehicles and power equipment, the demand for charging facilities is increasing. However, the existing wind-solar-hydrogen storage and charging integrated system has the following shortcomings:

[0004] Energy management is not intelligent enough: there is a lack of intelligent coordinated control over wind and solar power generation, hydrogen production, energy storage, and charging, and it is impossible to make dynamic adjustments based on real-time data and forecast information.

[0005] Low efficiency of energy storage system: The charging and discharging strategies of energy storage devices are not optimized enough to fully utilize the characteristics of batteries and supercapacitors, affecting the overall efficiency of the system and the life of the device.

[0006] Insufficient safety: Lack of real-time monitoring and fault prediction mechanisms for key system equipment may lead to safety hazards and equipment damage.

[0007] Therefore, there is an urgent need for a more intelligent, efficient and safe integrated wind-solar-hydrogen storage and charging management system to solve the above technical problems. Summary of the invention

[0008] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0009] The purpose of the present invention is to provide an integrated intelligent management system for wind, solar and hydrogen storage and charging, which combines advanced prediction models, optimization algorithms and reinforcement learning technologies to achieve intelligent coordinated control of various links such as wind power generation, solar power generation, methanol reforming hydrogen production, energy storage and charging, improve the utilization efficiency of renewable energy, extend the service life of energy storage devices, and enhance the safety and reliability of the system.

[0010] The present invention provides the following technical solution: an integrated wind-solar-hydrogen storage and charging intelligent management system, comprising:

[0011] Wind power generation device, solar power generation device, methanol reforming hydrogen production device, energy storage device, charging device, intelligent management module and microgrid control module;

[0012] The wind power generation device and the solar power generation device are respectively connected to the methanol reforming hydrogen production device, the energy storage device and the microgrid control module, and are used to collect and convert wind energy and solar energy;

[0013] The methanol reforming hydrogen production device converts methanol into hydrogen and stores it through a hydrogen storage device;

[0014] The energy storage device includes battery energy storage and supercapacitor energy storage, which is used to store electrical energy and release electrical energy when needed;

[0015] The charging device is used to charge external equipment through an energy storage device, a fuel cell or directly using wind and solar power generation;

[0016] The intelligent management module automatically adjusts the operating status of each device based on real-time data and prediction models to achieve optimal configuration and efficient use of energy;

[0017] The microgrid control module is used to coordinate the energy exchange between the system and the external power grid to achieve seamless switching between grid connection and off-grid connection.

[0018] As a preferred technical solution for an integrated wind-solar-hydrogen storage and charging intelligent management system, the intelligent management module includes:

[0019] Energy collection module, used to collect real-time power generation data of wind power generation devices and solar power generation devices, as well as external environmental parameters, including wind speed, light intensity and temperature;

[0020] A prediction module that uses machine learning algorithms to predict future power generation and load demand based on historical data and real-time environmental parameters;

[0021] The hydrogen production control module controls the start, stop and operating power of the methanol reforming hydrogen production unit according to the prediction results and the current system status;

[0022] Energy storage optimization module, which distributes charging and discharging tasks between battery energy storage and supercapacitor energy storage through optimization algorithms;

[0023] The charging scheduling module dynamically adjusts the source and time of charging power according to the charging needs of external devices and the system energy status;

[0024] The microgrid coordination module controls the energy exchange between the system and the external power grid to achieve optimal energy scheduling.

[0025] As an optimal technical solution for the integrated intelligent management system of wind-solar hydrogen storage and charging, the hydrogen production control module dynamically adjusts the operating power P of the methanol reforming hydrogen production device through the following formula: hydrogen :

[0026] P hydrogen =γ×(P wind +P solar -P load -P storage )

[0027] in:

[0028] P wind is the wind power generation power;

[0029] P solar is the solar power generation power;

[0030] P load is the current load power demand, including the demand of the charging device;

[0031] P storage is the charging and discharging power of the energy storage device;

[0032] γ is the adjustment coefficient, and its value range is 0≤γ≤1.

[0033] As a preferred technical solution for an integrated wind-solar-hydrogen storage and charging intelligent management system, the energy storage optimization module allocates charging and discharging tasks between battery energy storage and supercapacitor energy storage through the following strategies:

[0034] When short-term high power demand occurs, supercapacitor energy storage is used to provide power support first;

[0035] When long-term stable power demand occurs, battery storage is preferred to provide energy;

[0036] The charging and discharging power of the energy storage device satisfies the relationship:

[0037] P storage =P battery +P supercap

[0038] in:

[0039] P battery The charging and discharging power of the battery energy storage;

[0040] P supercap It is the charging and discharging power of supercapacitor energy storage.

[0041] As a preferred technical solution for an integrated wind, solar and hydrogen storage and charging intelligent management system, the energy storage status of battery energy storage and supercapacitor energy storage meets the following requirements:

[0042] SOC min ≤SOC battery ≤SOC max

[0043] SOC min ≤SOC supercap ≤SOC max

[0044] in:

[0045] SOC battery The current state of the battery storage;

[0046] SOC supercap The current state of energy storage for the supercapacitor;

[0047] SOC min and SOC max are the minimum and maximum state thresholds of the energy storage device respectively.

[0048] Through the above strategies, the energy storage optimization module improves the service life and energy utilization efficiency of the energy storage device.

[0049] As an optimal technical solution for an integrated intelligent management system for wind, solar and hydrogen storage and charging,

[0050] The microgrid coordination module realizes the bidirectional energy exchange between the system and the external grid and is controlled by the following strategies:

[0051] When there is excess renewable energy generation in the system and the energy storage device is fully loaded, power is delivered to the external grid;

[0052] When the energy in the system is insufficient and the power of the energy storage device is below the threshold, electricity is purchased from the external power grid;

[0053] Energy exchange power P grid satisfy:

[0054] P grid =P wind +P solar +P fuelcell -P load -P storage

[0055] in:

[0056] P fuelcell Generates electricity for the fuel cell.

[0057] As an optimal technical solution for an integrated intelligent management system for wind, solar and hydrogen storage and charging, the prediction module includes:

[0058] Sensor unit, used to monitor the temperature, pressure and current of methanol hydrogen production device, energy storage device and charging device in real time;

[0059] The data analysis unit uses machine learning algorithms to analyze historical operating data and establish a fault prediction model;

[0060] The early warning mechanism sends out a warning signal in advance and automatically adjusts the system operation strategy when it is predicted that a certain device may fail.

[0061] Beneficial effects of the invention: The wind-solar-hydrogen storage and charging integrated intelligent management system provided by the invention overcomes the shortcomings of the prior art, realizes intelligent coordinated control of various links such as wind energy, solar energy, hydrogen production, energy storage and charging, and improves the energy utilization efficiency, safety and intelligence level of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0063] Figure 1 It is a schematic diagram of the system module in the present invention;. DETAILED DESCRIPTION

[0064] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0065] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0066] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0067] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0068] Example 1

[0069] Reference Figure 1 This embodiment provides a wind-solar-hydrogen storage and charging integrated intelligent management system, including:

[0070] Wind power generation device, solar power generation device, methanol reforming hydrogen production device, energy storage device, charging device, intelligent management module and microgrid control module;

[0071] The wind power generation device and the solar power generation device are respectively connected to the methanol reforming hydrogen production device, the energy storage device and the microgrid control module to collect and convert wind energy and solar energy;

[0072] The methanol reforming hydrogen production device converts methanol into hydrogen and stores it through a hydrogen storage device. The hydrogen can be used for fuel cell power generation or direct energy supply;

[0073] Energy storage devices include battery storage and supercapacitor storage, which are used to store electrical energy and release it when needed;

[0074] The charging device is used to charge external devices through energy storage devices, fuel cells or directly using wind and solar power generation;

[0075] The intelligent management module automatically adjusts the operating status of each device based on real-time data and prediction models to achieve optimal configuration and efficient use of energy;

[0076] The microgrid control module is used to coordinate the energy exchange between the system and the external power grid to achieve seamless switching between grid-connected and off-grid.

[0077] Intelligent management module includes:

[0078] Energy collection module, used to collect real-time power generation data of wind power generation devices and solar power generation devices, as well as external environmental parameters, including wind speed, light intensity and temperature;

[0079] A prediction module that uses machine learning algorithms to predict future power generation and load demand based on historical data and real-time environmental parameters;

[0080] The hydrogen production control module controls the start, stop and operating power of the methanol reforming hydrogen production unit according to the prediction results and the current system status;

[0081] Energy storage optimization module, which distributes charging and discharging tasks between battery energy storage and supercapacitor energy storage through optimization algorithms;

[0082] The charging scheduling module dynamically adjusts the source and time of charging power according to the charging needs of external devices and the system energy status;

[0083] The microgrid coordination module controls the energy exchange between the system and the external power grid to achieve optimal energy scheduling.

[0084] The hydrogen production control module dynamically adjusts the operating power P of the methanol reforming hydrogen production unit through the following formula: hydrogen :

[0085] P hydrogen =γ×(P wind +P solar -P load -P storage )

[0086] in:

[0087] P wind is the wind power generation power;

[0088] P solar is the solar power generation power;

[0089] P load is the current load power demand, including the demand of the charging device;

[0090] P storage is the charge and discharge power of the energy storage device (positive value means charging, negative value means discharging);

[0091] γ is the adjustment coefficient, which ranges from 0 ≤ γ ≤ 1 and is dynamically adjusted according to the results of the prediction module to avoid energy waste or shortage.

[0092] When P hydrogen >P hydrogen_max When P hydrogen =P hydrogen_max , where P hydrogen_max is the maximum hydrogen production power of the methanol reforming hydrogen production device. Through the above formula, the system can dynamically adjust the operating power of the hydrogen production device according to real-time and predicted data, so that the surplus renewable energy can be effectively utilized.

[0093] The energy storage optimization module distributes the charging and discharging tasks between battery energy storage and supercapacitor energy storage through the following strategies:

[0094] When short-term high power demand occurs, supercapacitor energy storage is used to provide power support first;

[0095] When long-term stable power demand occurs, battery storage is preferred to provide energy;

[0096] The charging and discharging power of the energy storage device satisfies the relationship:

[0097] P storage =P battery +P supercap

[0098] in:

[0099] P battery The charging and discharging power of the battery energy storage;

[0100] P supercap It is the charging and discharging power of supercapacitor energy storage.

[0101] The energy storage state of battery energy storage and supercapacitor energy storage meets the following requirements:

[0102] SOC min ≤SOC battery ≤≤SOC max

[0103] SOC min ≤SOC supercap ≤SOC max

[0104] in:

[0105] SOC battery The current state of the battery storage;

[0106] SOC supercap The current state of energy storage for the supercapacitor;

[0107] SOC min and SOC max are the minimum and maximum state thresholds of the energy storage device respectively.

[0108] Through the above strategies, the energy storage optimization module improves the service life and energy utilization efficiency of the energy storage device.

[0109] The microgrid coordination module realizes the bidirectional energy exchange between the system and the external grid and is controlled by the following strategies:

[0110] When there is excess renewable energy generation in the system and the energy storage device is fully loaded, power is delivered to the external grid;

[0111] When the energy in the system is insufficient and the power of the energy storage device is below the threshold, electricity is purchased from the external power grid;

[0112] Energy exchange power P grid satisfy:

[0113] P grid =P wind+P solar +P fuelcell -P load -P storage

[0114] in:

[0115] P fuelcell Generates electricity for the fuel cell.

[0116] Through the above control, the system can achieve energy self-sufficiency and coordinated operation with the power grid.

[0117] The prediction module includes:

[0118] Sensor unit, used to monitor the temperature, pressure and current of methanol hydrogen production device, energy storage device and charging device in real time;

[0119] The data analysis unit uses machine learning algorithms to analyze historical operating data and establish a fault prediction model;

[0120] The early warning mechanism sends out a warning signal in advance when it is predicted that a device may fail, and automatically adjusts the system operation strategy to avoid the expansion of the failure.

[0121] The intelligent management module adopts an energy management algorithm based on reinforcement learning. Through continuous prediction module learning and optimization, it realizes adaptive adjustment of the operation strategy of each device and improves the overall efficiency and stability of the system.

[0122] The prediction module combines external data sources, such as weather forecasts and grid price information, to further optimize the system's energy scheduling strategy to maximize economic benefits and energy utilization.

[0123] This improvement plan refines and improves the existing wind-solar-hydrogen storage and charging integrated system by introducing advanced technologies such as prediction models, optimization algorithms and reinforcement learning. The system can dynamically adjust the operating status of each device based on real-time and predicted data, optimize energy utilization, improve the intelligence and safety of the system, and achieve efficient, stable and economical management of energy.

[0124] In order to better illustrate the practical application of the above-mentioned wind, solar, hydrogen storage and charging integrated intelligent management system, a specific case is given below for detailed explanation.

[0125] Project background: On a remote coastal island, grid access is difficult and costly. In order to meet the daily electricity needs of island residents and provide charging services for visiting electric vehicles and ships, a self-sufficient renewable energy microgrid system is planned to be built. The system needs to manage energy efficiently and intelligently to achieve optimal configuration and efficient use of energy.

[0126] The system consists of the following:

[0127] 1. Wind power generation device

[0128] Equipment capacity: Install 5 wind turbines, each with a rated power of 800kW and a total installed capacity of 4MW.

[0129] Equipment model: Horizontal axis three-blade wind turbine, suitable for windy island environments.

[0130] 2. Solar power generation device

[0131] Equipment capacity: The total installed capacity of photovoltaic modules is 3MWp.

[0132] Installation method: Ground fixed installation, using high-efficiency monocrystalline silicon photovoltaic modules.

[0133] 3. Methanol reforming hydrogen production unit

[0134] Hydrogen production capacity: The maximum hydrogen production power corresponds to 1MW of electrical power, and the hydrogen production is about 450Nm 3 / h.

[0135] Equipment features: high efficiency and low emission, hydrogen purity up to 99.999%, equipped with hydrogen storage tank, storage capacity of 5000Nm 3 .

[0136] 4. Energy storage device

[0137] 4.1 Battery Energy Storage

[0138] Type: Lithium Iron Phosphate battery.

[0139] Capacity: Total energy storage capacity is 6MWh and rated power is 3MW.

[0140] Purpose: To smooth fluctuations in renewable energy generation and meet the need for continuous power supply.

[0141] 4.2 Supercapacitor Energy Storage

[0142] Capacity: The energy storage capacity is 0.5MWh and the rated power is 2MW.

[0143] Purpose: To cope with instantaneous high power demand and stabilize system voltage and frequency.

[0144] 5. Charging device

[0145] Configuration: 15 DC fast charging piles are set up, each with a charging power of 150kW.

[0146] Target customers: Provide fast charging services for electric vehicles, electric buses and electric ships.

[0147] 6. Intelligent management module

[0148] It includes energy collection module, prediction module, hydrogen production control module, energy storage optimization module, charging scheduling module, microgrid coordination module and safety monitoring module.

[0149] 7. Microgrid control module

[0150] Realize the system's grid-connected and off-grid operation modes, coordinate energy exchange with the external power grid, and ensure the reliability and stability of power supply.

[0151] The system operation process is as follows:

[0152] First, data is collected in real time, specifically, wind power generation power P is obtained in real time through sensors and monitoring equipment. wind 、Solar power generation power P solar , Load power demand P load (including residential electricity consumption and charging needs), energy storage device status, energy storage device status includes battery energy storage SOC battery And supercapacitor energy storage SOC supercap .

[0153] The Long Short-Term Memory (LSTM) model is used to input historical meteorological data, real-time environmental parameters (wind speed, light intensity, temperature) and historical load data, and output: power generation forecast within the next 24 hours and load demand forecasting

[0154] Calculate the operating power P of the methanol reforming hydrogen production unit based on real-time and predicted data hydrogen , and then control the hydrogen production process.

[0155] P hydrogen =γ×(P wind +P solar -P load -P storage )

[0156] in:

[0157] γ is the adjustment coefficient, which is initially set to 0.9 and is dynamically adjusted according to the hydrogen storage tank capacity and predicted surplus power;

[0158] P storage Is the charge and discharge power of the energy storage device (positive value is discharge, negative value is charge)

[0159] To ensure the safe operation of the hydrogen production device, the power needs to be set and the operating power needs to meet the following requirements:

[0160] 0≤P hydrogen ≤P hydrogen_max =1MW

[0161] Set the start condition: When Phydrogen When the power is greater than 0.2MW and the hydrogen storage tank is not full, start the hydrogen production device.

[0162] Set the stop condition: When P hydrogen When ≤0.2MW or the hydrogen storage tank is full, stop the hydrogen production device.

[0163] The energy storage optimization strategy is:

[0164] 1. Discharge strategy of supercapacitor energy storage: When there is an instantaneous high power demand (such as the instantaneous load increase of the charging pile exceeds 2MW), the supercapacitor provides auxiliary power P supercap ;

[0165] Charging strategy for supercapacitor energy storage:

[0166] When there is instantaneous surplus power (such as a sudden increase in wind speed resulting in a short-term increase in power generation) and SOC supercap When the temperature is less than 95%, the supercapacitor will be charged quickly.

[0167] 2. Discharge strategy of battery energy storage: When SOC battery >20% and the power generation is insufficient to meet the load demand, P battery_discharge =min(P load -P wind -P solar -P hydrogen , P battery_max )

[0168] Where P battery_max =3MW is the maximum discharge power of battery energy storage.

[0169] Charging scheduling includes: forecasting charging demand, combining reservation information and historical charging data to predict charging demand in future periods

[0170] The charging power is allocated according to the priority, the priority is as follows:

[0171] Direct use of renewable energy When the power is supplied directly;

[0172] Utilize energy storage devices: When renewable energy is insufficient, call on battery energy storage and supercapacitors;

[0173] Start the fuel cell: When the energy storage device is low on power, the fuel cell P fuelcell Power generation;

[0174] External Grid Purchase: As a last resort, purchase electricity from an external grid.

[0175] Control the charging power P of each charging pile charger , to avoid system overload.

[0176] When the system is connected to the grid, if there is surplus power in the system and the external grid is stable, the power P is transmitted to the external grid. grid :

[0177]

[0178] Electricity can be sold during peak electricity price periods to obtain higher economic benefits.

[0179] When the external power grid is unavailable or the electricity price is unreasonable, the system switches to off-grid mode and operates self-sufficiently.

[0180] The prediction module performs safety monitoring and fault prediction. The monitoring parameters include temperature, pressure, current, voltage, hydrogen concentration, etc. It uses algorithms such as support vector machine (SVM) and random forest to analyze the equipment operation data and establish a fault prediction model. When it is predicted that the equipment may fail, it sends early warning information, automatically adjusts the operation strategy, and starts backup equipment or reduces the load when necessary.

[0181] External data fusion includes using the weather forecast for the next seven days provided by the meteorological department to adjust power generation and energy storage strategies, combining real-time electricity prices and peak-valley electricity price strategies, and optimizing the timing of purchasing and selling electricity.

[0182] Further, the sample data is described as follows:

[0183] 1. The background is a sunny and windy day, 10:00 am.

[0184] The power generation situation is: P wind =2.5MW, P solar =2.8MW.

[0185] Load demand: Residential electricity P residential =1MW, charging demand The total load is

[0186] Energy storage state: SOC battery =80%, SOC supercap =90%.

[0187] Hydrogen production operation power calculation:

[0188] P hydrogen =0.9×(2.5+2.8-2.5-0)=2.7MW

[0189] Because P hydrogen_max =1MW, so P hydrogen =1MW.

[0190] The hydrogen production unit operates at 1MW and starts producing and storing hydrogen.

[0191] The battery storage device is charged at 1.8MW:

[0192] P battery_charge =0.9×(2.5+2.8-2.5-1)=1.8MW

[0193] The supercapacitors are in standby mode, ready to handle instantaneous load changes.

[0194] The system transmits surplus power to the external power grid:

[0195] P grid =2.5+2.8-2.5-1-1.8=0MW

[0196] There is no surplus power output at this time.

[0197] 2. A cloudy and windless night, 22:00.

[0198] The power generation situation is: P wind =0MW, P solar =0MW.

[0199] Load demand: Residential electricity P residential =0.8MW, charging demand (Vehicle charging at night), the total load is P load =1.8MW.

[0200] Energy storage state: SOC battery =70%, SOC supercap =85%.;

[0201] The battery energy storage device discharges at a power of 1.8MW to meet all load requirements.

[0202] Supercapacitors are prepared to handle instantaneous fluctuations in charging load.

[0203] If it is predicted that there will be no wind and no sun in the future, and the battery SOC battery will be less than 30%, then:

[0204] Start the fuel cell with P fuelcell =1MW power generation;

[0205] Purchase electricity from external power grid P grid =0.8MW, taking advantage of the low electricity price at night to reduce operating costs.

[0206] The system can be adaptively modified in the following ways:

[0207] 1. Adjust the power of the hydrogen production device

[0208] The maximum power of the hydrogen production device in the original plan is 1MW. However, in order to avoid energy waste, it is recommended to increase the maximum power of the hydrogen production device to 2MW and increase the capacity of the hydrogen storage tank to 10,000Nm 3 .

[0209] 2. Increase fuel cell capacity

[0210] In order to provide reliable electricity in the case of long-term lack of wind and sunlight, the rated power of the fuel cell is increased to 2MW, and the stored hydrogen can be used to provide continuous power.

[0211] 3. Optimize energy storage capacity configuration

[0212] According to the load demand and the characteristics of renewable energy generation, the battery energy storage capacity will be appropriately increased to 8MWh to ensure that under extreme weather conditions, it can still meet the full load power supply demand for at least 4 hours.

[0213] 4. Introducing demand-side management

[0214] Through price incentives and electricity usage guidance, users are guided to carry out high-energy-consuming activities during periods of surplus power generation, such as vehicle charging and seawater desalination, to further optimize energy utilization.

[0215] The present invention achieves the following beneficial effects through the above technical solution:

[0216] Improve energy efficiency: By introducing prediction models and optimization algorithms, the system can dynamically adjust the operating status of each device according to real-time and predicted power generation and load demand, maximize the use of renewable energy and reduce energy waste.

[0217] Extend the life of the energy storage device: The energy storage optimization module rationally allocates the charging and discharging tasks of the battery energy storage and supercapacitor energy storage, avoids excessive use of a certain energy storage unit, and extends the service life of the energy storage device.

[0218] Enhance system safety: The real-time monitoring and fault prediction mechanism of the safety monitoring module can provide early warning of potential equipment failures, take timely measures to avoid accidents, and ensure the safe and stable operation of the system.

[0219] Improve the level of intelligence: By adopting reinforcement learning algorithms, the system can adaptively optimize operating strategies, continuously learn and improve, and improve the intelligence level and operating efficiency of the system.

[0220] Maximize economic benefits: Combined with external data, such as weather forecasts and electricity price information, the system can optimize energy scheduling and trading strategies, reduce operating costs, and improve economic benefits.

[0221] Improve power supply reliability: The microgrid control module realizes seamless switching between grid-connected and off-grid operation, ensuring that the system can still provide stable power supply to meet user needs when the external power grid is unavailable or unstable.

[0222] To sum up, the wind, solar, hydrogen storage and charging integrated intelligent management system provided by the present invention overcomes the shortcomings of the existing technology, realizes the intelligent coordinated control of various links such as wind energy, solar energy, hydrogen production, energy storage and charging, improves the energy utilization efficiency, safety and intelligence level of the system, and has significant technological progress and application value.

[0223] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0224] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An integrated wind-solar-hydrogen storage and charging intelligent management system, characterized by: include, Wind power generation device, solar power generation device, methanol reforming hydrogen production device, energy storage device, charging device, intelligent management module and microgrid control module; The wind power generation device and the solar power generation device are respectively connected to the methanol reforming hydrogen production device, the energy storage device and the microgrid control module, and are used to collect and convert wind energy and solar energy; The methanol reforming hydrogen production device converts methanol into hydrogen and stores it through a hydrogen storage device; The energy storage device includes battery energy storage and supercapacitor energy storage, which is used to store electrical energy and release electrical energy when needed; The charging device is used to charge external equipment through an energy storage device, a fuel cell or directly using wind and solar power generation; The intelligent management module automatically adjusts the operating status of each device based on real-time data and prediction models to achieve optimal configuration and efficient use of energy; The microgrid control module is used to coordinate the energy exchange between the system and the external power grid to achieve seamless switching between grid connection and off-grid connection.

2. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 1 is characterized by: The intelligent management module includes: Energy collection module, used to collect real-time power generation data of wind power generation devices and solar power generation devices, as well as external environmental parameters, including wind speed, light intensity and temperature; A prediction module that uses machine learning algorithms to predict future power generation and load demand based on historical data and real-time environmental parameters; The hydrogen production control module controls the start, stop and operating power of the methanol reforming hydrogen production unit according to the prediction results and the current system status; Energy storage optimization module, which distributes charging and discharging tasks between battery energy storage and supercapacitor energy storage through optimization algorithms; The charging scheduling module dynamically adjusts the source and time of charging power according to the charging needs of external devices and the system energy status; The microgrid coordination module controls the energy exchange between the system and the external power grid to achieve optimal energy scheduling.

3. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 2 is characterized by: The hydrogen production control module dynamically adjusts the operating power P of the methanol reforming hydrogen production device through the following formula hydrogen : P hydrogen =γ×(P wind +P solar -P load -P storage ) in: P wind is the wind power generation power; P solar is the solar power generation power; P load is the current load power demand, including the demand of the charging device; P storage is the charging and discharging power of the energy storage device; γ is the adjustment coefficient, and its value range is 0≤γ≤1.

4. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 3 is characterized by: The energy storage optimization module distributes the charging and discharging tasks between battery energy storage and supercapacitor energy storage through the following strategies: When short-term high power demand occurs, supercapacitor energy storage is used to provide power support first; When long-term stable power demand occurs, battery storage is preferred to provide energy; The charging and discharging power of the energy storage device satisfies the relationship: P storage =P battery +P supercap in: P battery The charging and discharging power of the battery energy storage; P supercap It is the charging and discharging power of supercapacitor energy storage.

5. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 4 is characterized by: The energy storage state of battery energy storage and supercapacitor energy storage meets the following requirements: SOC min ≤SOC battery ≤SOC max SOC min ≤SOC supercap ≤SOC max in: SOC battery The current state of the battery storage; SOC supercap The current state of energy storage for the supercapacitor; SOC min and SOC max are the minimum and maximum state thresholds of the energy storage device respectively. Through the above strategies, the energy storage optimization module improves the service life and energy utilization efficiency of the energy storage device.

6. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 5 is characterized by: The microgrid coordination module realizes the bidirectional energy exchange between the system and the external grid and is controlled by the following strategies: When there is excess renewable energy generation in the system and the energy storage device is fully loaded, power is delivered to the external grid; When the energy in the system is insufficient and the power of the energy storage device is below the threshold, electricity is purchased from the external power grid; Energy exchange power P grid satisfy: P grid =P wind +P solar +P fuelcell -P load -P storage in: P fuelcell Generates electricity for the fuel cell.

7. The wind-solar-hydrogen storage and charging integrated intelligent management system according to claim 6 is characterized by: The prediction module comprises: Sensor unit, used to monitor the temperature, pressure and current of methanol hydrogen production device, energy storage device and charging device in real time; The data analysis unit uses machine learning algorithms to analyze historical operating data and establish a fault prediction model; The early warning mechanism sends out a warning signal in advance and automatically adjusts the system operation strategy when it is predicted that a certain device may fail.

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