Edge cloud cooperative wind-solar-hydrogen-ammonia-alcohol system energy management system

Abstract

The present application relates to power supply management field, especially to a kind of wind and light hydrogen ammonia alcohol system energy management system of edge cloud cooperation, including center management module, the output of the center management module is connected with control unit, the output of the control unit is connected with conversion unit, the output of the conversion unit is connected with collection module, the output of the collection module is connected with power generation module, the input of the collection module is connected with recording unit, the control unit is used to control the preparation of hydrogen, ammonia, alcohol, the conversion unit is used to prepare hydrogen, ammonia, alcohol, the collection module is used to collect and store the preparation of hydrogen, ammonia, alcohol, the power generation module is used to utilize hydrogen, ammonia, alcohol as raw material to generate electricity.The present application reduces the load of green power grid, guarantees the stable operation of green power grid, and ensures the sufficient use of hydrogen, ammonia, alcohol energy and power generation in peak period.

Description

Technical Field

[0001] This invention relates to the field of power supply management, and more particularly to an energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration. Background Technology

[0002] Because the electricity generated by wind and solar power is limited by multiple practical bottlenecks such as battery life decay, raw material resource constraints, and environmental protection of recycling, it is difficult to achieve long-term, large-scale direct storage. Therefore, the industry generally adopts wind and solar power to drive the operation of production equipment, which converts the originally difficult-to-store electrical energy into energetic chemicals such as hydrogen, ammonia, and methanol to achieve stable storage in the form of chemical energy. According to actual electricity demand, the stored chemical energy can be converted back into electrical energy for efficient utilization through combustion power generation and other methods.

[0003] However, during the conversion of electrical energy into chemical energy, the power output of wind and solar power generation is easily affected by weather conditions and fluctuates greatly. Therefore, when wind and solar power plants experience a sudden drop in power generation, if the conversion equipment for hydrogen, ammonia, and alcohol continues to operate, the stable electricity demand will significantly increase the load on the green power grid, thus adversely affecting the stable operation of the green power grid. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the prior art by proposing an edge-cloud collaborative wind-solar-hydrogen-ammonia-ethanol system energy management system.

[0005] To achieve the above objectives, the technical solution adopted by this invention is as follows: an edge-cloud collaborative wind-solar-hydrogen-ammonia-alcohol system energy management system, comprising a central management module, an output terminal of which is connected to a control unit, an output terminal of which is connected to a conversion unit, an output terminal of which is connected to a collection module, an output terminal of which is connected to a power generation module, and an input terminal of which is connected to a recording unit. The control unit is used to control the preparation of hydrogen, ammonia, and alcohol, the conversion unit is used to prepare hydrogen, ammonia, and alcohol, the collection module is used to collect and store the prepared hydrogen, ammonia, and alcohol, the power generation module is used to generate electricity using hydrogen, ammonia, and alcohol as raw materials, the recording unit is used to record energy usage, an input terminal of which is connected to an energy storage module, an input terminal of which is connected to a power generation unit, an input terminal of which is connected to a prediction module, and an input terminal of which is connected to a data acquisition module.

[0006] Preferably, the input terminal of the power generation module is connected to an activation module, which is used to activate the power generation module to generate electricity. The power generation unit includes a wind power generation module and a photovoltaic power generation module. The wind power generation module is used to generate electricity using wind power, and the photovoltaic power generation module is used to generate electricity using solar energy.

[0007] Preferably, the data acquisition module is used to collect historical wind and solar power data and real-time meteorological data. The prediction module is used to predict the wind and solar power generation rate based on the collected data and using a prediction algorithm. The output terminal of the prediction module is connected to "abnormal result" and "normal result". The "abnormal result" indicates that the predicted wind and solar power generation rate is low, and the "normal result" indicates that the predicted wind and solar power generation rate is normal. The energy storage module is used to store the electrical energy generated by wind and solar power and supply power to the conversion unit.

[0008] Preferably, the conversion unit includes a hydrogen preparation module, an ammonia preparation module, and an alcohol preparation module, wherein the hydrogen preparation module is used to prepare hydrogen, the ammonia preparation module is used to prepare ammonia, and the alcohol preparation module is used to prepare alcohol.

[0009] Preferably, the control unit includes an energy detection module, the output of which is connected to high energy and low energy. The energy detection module is used to detect the wind and solar power generation rate in real time. The high energy indicates that the actual wind and solar power generation rate is high, and the low energy indicates that the actual wind and solar power generation rate is low. The output of the energy detection module is also connected to a priority processing module.

[0010] Preferably, the control unit further includes a start-up module and a stop-down module. The start-up module is used to start the conversion unit when the power supply is high and the predicted wind and solar power generation rate is normal. The stop-down module is used to stop the conversion unit when the power supply is low and the predicted wind and solar power generation rate is low. The priority processing module is used to prioritize the real-time detected data as the basis for controlling the operation of the conversion unit when the predicted wind and solar power generation rate is different from the real-time detected wind and solar power generation rate.

[0011] Preferably, the recording unit includes a display module and an energy identification module. The input end of the display module is connected to a high-consumption marker. The display module is used to display the energy usage of hydrogen, ammonia, and alcohol in various time periods of the previous year. The high-consumption marker is used to mark the periods of excessive energy usage in the previous year. The energy identification module is used to identify the storage amount of hydrogen, ammonia, and alcohol in real time. The output end of the energy identification module is connected to a comparison module. The output end of the comparison module is connected to indicators of sufficient energy and insufficient energy.

[0012] Preferably, the comparison module is used to compare the real-time identified storage amount with the energy consumption during the marked time period before the next year arrives at the same time period marked in the previous year. "Energy sufficient" indicates that the storage amount is higher than the consumption amount, and "energy insufficient" indicates that the storage amount is lower than the consumption amount. The output terminal of "energy insufficient" is connected to the difference data, and the output terminal of the difference data is connected to the reminder module. The difference data is used to display the difference between the storage amount and the consumption amount, and the reminder module is used to prompt the staff to schedule hydrogen, ammonia, and alcohol energy to make up for the difference.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] 1. The data acquisition module collects historical wind and solar power data as well as real-time meteorological data. The prediction module uses the collected data and a prediction algorithm to predict the wind and solar power generation rate. An abnormal result indicates a low predicted wind and solar power generation rate, while a normal result indicates a normal predicted wind and solar power generation rate. In conjunction with the control unit, the power detection module monitors the wind and solar power generation rate in real time. High power indicates a high actual wind and solar power generation rate, while low power indicates a low actual wind and solar power generation rate. The start-up module starts the conversion unit when the power is high and the predicted wind and solar power generation rate is normal. The stop module stops the conversion unit when the power is low and the predicted wind and solar power generation rate is low. The priority processing module handles discrepancies between the predicted wind and solar power generation rate and the real-time detected wind and solar power generation rate. The system prioritizes real-time monitoring data as the basis for controlling the operation of the conversion unit. When the predicted and actual measured data are the same, such as a high wind and solar power generation rate, the production of hydrogen, ammonia, and alcohol is initiated; conversely, when the wind and solar power generation rate is low, the production of hydrogen, ammonia, and alcohol is stopped. Conversely, when the predicted and actual measured data differ, such as a predicted low wind and solar power generation rate, the production of hydrogen, ammonia, and alcohol is stopped. When the predicted period arrives and the actual measured wind and solar power generation rate is high, the production of hydrogen, ammonia, and alcohol is restarted. Conversely, when the predicted future wind and solar power generation rate is high, the production of hydrogen, ammonia, and alcohol is allowed to proceed normally; when the predicted period arrives and the actual measured wind and solar power generation rate is low, the production of hydrogen, ammonia, and alcohol is stopped. This real-time control of hydrogen, ammonia, and alcohol production based on fluctuations in wind and solar power generation rate reduces the load on the green power grid and ensures its stable operation.

[0015] 2. Through the set recording unit, the display module shows the usage of hydrogen, ammonia, and alcohol energy in various time periods of the previous year. The high-consumption marker is used to mark the periods of excessive energy consumption in the previous year. The energy identification module is used to identify the storage of hydrogen, ammonia, and alcohol in real time. The comparison module is used to compare the real-time identified storage with the energy consumption of the marked period before the same time period of the previous year arrives in the following year. Sufficient energy indicates that the storage is higher than the consumption, and insufficient energy indicates that the storage is lower than the consumption. The difference data is used to display the difference between the storage and the consumption. The reminder module is used to remind staff to schedule hydrogen, ammonia, and alcohol energy to make up the difference. Based on the high energy consumption periods and energy consumption in previous years, the system can detect the current energy storage before the same time period of the following year and promptly remind staff to replenish the storage when it is lower than the energy consumption of previous years, so as to ensure sufficient use of hydrogen, ammonia, and alcohol energy and power generation during peak periods. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the energy management system for a wind-solar-hydrogen-ammonia-ethanol system based on edge-cloud collaboration according to the present invention.

[0017] Figure 2 This is a schematic diagram of the conversion unit of an edge-cloud collaborative wind-solar-hydrogen-ammonia-ethanol system energy management system according to the present invention;

[0018] Figure 3 This is a schematic diagram of the control unit of an edge-cloud collaborative wind-solar-hydrogen-ammonia-ethanol system energy management system according to the present invention.

[0019] Figure 4 This is a schematic diagram of the recording unit of an edge-cloud collaborative wind-solar-hydrogen-ammonia-ethanol system energy management system according to the present invention. Detailed Implementation

[0020] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0021] like Figures 1-4The illustrated edge-cloud collaborative energy management system for a wind-solar-hydrogen-ammonia-alcohol system includes a central management module. The output of the central management module is connected to a control unit, the output of the control unit is connected to a conversion unit, the output of the conversion unit is connected to a collection module, the output of the collection module is connected to a power generation module, and the input of the collection module is connected to a recording unit. The control unit controls the preparation of hydrogen, ammonia, and alcohol; the conversion unit prepares hydrogen, ammonia, and alcohol; the collection module collects and stores the prepared hydrogen, ammonia, and alcohol; the power generation module uses hydrogen, ammonia, and alcohol as raw materials to generate electricity; the recording unit records energy usage; the input of the conversion unit is connected to an energy storage module; the input of the energy storage module is connected to a power generation unit; the input of the control unit is connected to a prediction module; and the input of the prediction module is connected to a data acquisition module.

[0022] The input terminal of the power generation module is connected to an activation module, which is used to activate the power generation module to generate electricity. The power generation unit includes a wind power generation module and a photovoltaic power generation module. The wind power generation module is used to generate electricity using wind power, and the photovoltaic power generation module is used to generate electricity using solar energy.

[0023] The data acquisition module collects historical wind and solar power data as well as real-time meteorological data. The prediction module uses the collected data and a prediction algorithm to predict the wind and solar power generation rate. The output of the prediction module is connected to either "abnormal result" or "normal result." An abnormal result indicates a low predicted wind and solar power generation rate, while a normal result indicates a normal predicted wind and solar power generation rate. The energy storage module stores the electrical energy generated by wind and solar power and supplies power to the conversion unit. The prediction algorithm model used by the above prediction module is as follows:

[0024] I. Selection of Model Input Features

[0025] Key characteristics of photovoltaic power generation

[0026] Historical characteristics: Photovoltaic power generation and average irradiance for the same historical period (same date and time);

[0027] Real-time meteorological characteristics: real-time solar irradiance, ambient temperature, cloud cover, and relative humidity;

[0028] Key characteristics of wind power generation

[0029] Historical characteristics: wind power generation capacity and average wind speed for the same historical period (same date and time);

[0030] Real-time meteorological characteristics: real-time wind speed, real-time wind direction (angle with the wind turbine's angle of attack), and air density.

[0031] II. Mathematical Expression of the Model

[0032] Photovoltaic power generation prediction model

[0033]

[0034] Predicted photovoltaic power generation (kW)

[0035] ~ Model fit coefficients (obtained through training with historical data)

[0036] Real-time solar irradiance (W / m²)

[0037] Real-time ambient temperature (°C)

[0038] Real-time cloud coverage (%)

[0039] Historical photovoltaic power generation (kW) for the same period

[0040] Model error term

[0041] Wind power generation prediction model

[0042]

[0043] Predicted wind power generation capacity (kW)

[0044] ~ Model fit coefficients (obtained through training with historical data)

[0045] Real-time wind speed (m / s), the cube of which is positively correlated with the wind energy captured by the wind turbine.

[0046] : The angle between the real-time wind direction and the windward angle of the fan (°)

[0047] Real-time air density (kg / m³)

[0048] Historical wind power generation capacity (kW) for the same period

[0049] Model error term

[0050] III. Model Implementation Steps

[0051] Data preprocessing: Collect historical wind and solar power data and corresponding meteorological data for 1-3 years, remove outliers (such as zero power caused by equipment failure, extreme weather outliers), and interpolate missing values ​​to complete them.

[0052] Model training: The preprocessed data is divided into a training set (70%) and a test set (30%), and the model coefficients are calculated by least squares fitting. ~ , ~ .

[0053] Real-time forecasting: Input real-time collected meteorological data and historical power data for the same period, and substitute them into the model formula to calculate the predicted power.

[0054] Error correction: Compare the predicted values ​​with the actual values, calculate the error, and update the model coefficients regularly to improve prediction accuracy.

[0055] The conversion unit includes a hydrogen preparation module, an ammonia preparation module, and an alcohol preparation module. The hydrogen preparation module is used to prepare hydrogen, the ammonia preparation module is used to prepare ammonia, and the alcohol preparation module is used to prepare alcohol.

[0056] The control unit includes an energy detection module. The output of the energy detection module is connected to high energy and low energy. The energy detection module is used to detect the wind and solar power generation rate in real time. High energy indicates that the actual wind and solar power generation rate is high, and low energy indicates that the actual wind and solar power generation rate is low. The output of the energy detection module is also connected to a priority processing module.

[0057] The control unit also includes a start-up module and a stop module. The start-up module is used to start the conversion unit when the power supply is high and the predicted wind and solar power generation rate is normal. The stop module is used to stop the conversion unit when the power supply is low and the predicted wind and solar power generation rate is low. The priority processing module is used to prioritize the real-time detected data as the basis for controlling the operation of the conversion unit when the predicted wind and solar power generation rate is different from the real-time detected wind and solar power generation rate.

[0058] The recording unit includes a display module and an energy identification module. The input end of the display module is connected to a high-consumption marker. The display module is used to display the energy usage of hydrogen, ammonia, and alcohol in various time periods of the previous year. The high-consumption marker is used to mark the periods of excessive energy consumption in the previous year. The energy identification module is used to identify the storage amount of hydrogen, ammonia, and alcohol in real time. The output end of the energy identification module is connected to a comparison module. The output end of the comparison module is connected to a sufficient energy and insufficient energy indicators.

[0059] The comparison module is used to compare the real-time identified storage volume with the energy consumption during the marked time period before the next year arrives at the same time period marked in the previous year. Sufficient energy indicates that the storage volume is higher than the consumption volume, and insufficient energy indicates that the storage volume is lower than the consumption volume. The output terminal of insufficient energy is connected to the difference data, and the output terminal of the difference data is connected to the reminder module. The difference data is used to display the difference between the storage volume and the consumption volume, and the reminder module is used to prompt the staff to schedule hydrogen, ammonia, and alcohol energy to make up for the difference.

[0060] In summary, the data acquisition module collects historical wind and solar power data as well as real-time meteorological data. The prediction module uses the collected data and a prediction algorithm to predict the wind and solar power generation rate. An abnormal result indicates a low predicted wind and solar power generation rate, while a normal result indicates a normal predicted wind and solar power generation rate. In conjunction with the control unit, the power detection module monitors the wind and solar power generation rate in real time. High power indicates a high actual wind and solar power generation rate, while low power indicates a low actual wind and solar power generation rate. The start-up module activates the conversion unit when power is high and the predicted wind and solar power generation rate is normal. The stop module... The conversion unit stops operating when there is low power consumption or when the predicted wind and solar power generation rate is low. The priority processing module prioritizes the real-time measured data to control the conversion unit's operation when the predicted and actual wind and solar power generation rates differ. Thus, when the predicted and actual measured rates are the same, if the wind and solar power generation rate is high, the preparation of hydrogen, ammonia, and alcohol is initiated; conversely, if the wind and solar power generation rate is low, the preparation of hydrogen, ammonia, and alcohol is stopped. When the predicted and actual measured rates differ, if the predicted future wind and solar power generation rate is low, the preparation of hydrogen, ammonia, and alcohol is stopped. When the predicted period arrives and the actual measured wind and solar power generation rate is high, the preparation of hydrogen, ammonia, and alcohol is restarted; conversely, if the predicted and actual measured rates are low, the preparation of hydrogen, ammonia, and alcohol is stopped. When wind and solar power generation rates are high, hydrogen, ammonia, and alcohol production will proceed normally. When the predicted period is reached but actual wind and solar power generation rates are low, hydrogen, ammonia, and alcohol production will cease. This allows for real-time control of hydrogen, ammonia, and alcohol production based on fluctuations in wind and solar power generation rates, reducing the load on the green grid and ensuring its stable operation. A recording unit and display module show the energy usage of hydrogen, ammonia, and alcohol for each period of the previous year. High-consumption markers indicate periods of excessive energy consumption in the previous year. An energy identification module identifies the storage levels of hydrogen, ammonia, and alcohol in real time. A comparison module helps determine when the levels reach the previous year's marked levels for the next year. Before a given time period, the system compares the real-time energy storage with the energy consumption during that time period. "Sufficient energy" indicates that the storage is higher than the consumption, while "insufficient energy" indicates that the storage is lower than the consumption. The difference data displays the difference between the storage and consumption. The reminder module prompts staff to schedule hydrogen, ammonia, and alcohol energy to make up the difference. Based on the high energy consumption periods and consumption in previous years, the system detects the current energy storage before the same time period in the following year and promptly reminds staff to replenish the storage when it is lower than the energy consumption in previous years, thus ensuring sufficient use of hydrogen, ammonia, and alcohol energy and power generation during peak periods.

[0061] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. An edge-cloud collaborative energy management system for wind-solar-hydrogen-ammonia-ethanol systems, comprising a central management module, characterized in that: The output of the central management module is connected to a control unit, the output of the control unit is connected to a conversion unit, the output of the conversion unit is connected to a collection module, the output of the collection module is connected to a power generation module, and the input of the collection module is connected to a recording unit. The control unit is used to control the preparation of hydrogen, ammonia, and alcohols. The conversion unit is used to prepare hydrogen, ammonia, and alcohols. The collection module is used to collect and store the prepared hydrogen, ammonia, and alcohols. The power generation module is used to generate electricity using hydrogen, ammonia, and alcohols as raw materials. The recording unit is used to record energy usage. The input of the conversion unit is connected to an energy storage module, the input of the energy storage module is connected to a power generation unit, the input of the control unit is connected to a prediction module, and the input of the prediction module is connected to a data acquisition module.

2. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 1, characterized in that: The input terminal of the power generation module is connected to an activation module, which is used to activate the power generation module to generate electricity. The power generation unit includes a wind power generation module and a photovoltaic power generation module. The wind power generation module is used to generate electricity using wind power, and the photovoltaic power generation module is used to generate electricity using solar energy.

3. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 1, characterized in that: The data acquisition module is used to collect historical wind and solar power data and real-time meteorological data. The prediction module is used to predict the wind and solar power generation rate based on the collected data and using a prediction algorithm. The output terminal of the prediction module is connected to result abnormality and result normality. The result abnormality is used to indicate that the predicted wind and solar power generation rate is low, and the result normality is used to indicate that the predicted wind and solar power generation rate is normal. The energy storage module is used to store the electrical energy generated by wind and solar power and supply power to the conversion unit.

4. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 1, characterized in that: The conversion unit includes a hydrogen preparation module, an ammonia preparation module, and an alcohol preparation module. The hydrogen preparation module is used to prepare hydrogen, the ammonia preparation module is used to prepare ammonia, and the alcohol preparation module is used to prepare alcohol.

5. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 1, characterized in that: The control unit includes an energy detection module. The output of the energy detection module is connected to high energy and low energy. The energy detection module is used to detect the wind and solar power generation rate in real time. The high energy indicates that the actual wind and solar power generation rate is high, and the low energy indicates that the actual wind and solar power generation rate is low. The output of the energy detection module is also connected to a priority processing module.

6. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 5, characterized in that: The control unit also includes a start-up module and a stop-down module. The start-up module is used to start the conversion unit when the power supply is high and the predicted wind and solar power generation rate is normal. The stop-down module is used to stop the conversion unit when the power supply is low and the predicted wind and solar power generation rate is low. The priority processing module is used to prioritize the real-time detected data as the basis for controlling the operation of the conversion unit when the predicted wind and solar power generation rate is different from the real-time detected wind and solar power generation rate.

7. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 1, characterized in that: The recording unit includes a display module and an energy identification module. The input end of the display module is connected to a high-consumption marker. The display module is used to display the energy usage of hydrogen, ammonia, and alcohol in various time periods of the previous year. The high-consumption marker is used to mark the periods of excessive energy consumption in the previous year. The energy identification module is used to identify the storage amount of hydrogen, ammonia, and alcohol in real time. The output end of the energy identification module is connected to a comparison module. The output end of the comparison module is connected to a signal indicating sufficient energy and insufficient energy.

8. The energy management system for a wind-solar-hydrogen-ammonia-ethanol system with edge-cloud collaboration according to claim 7, characterized in that: The comparison module is used to compare the real-time identified storage volume with the energy consumption during the marked time period before the next year arrives at the same time period marked in the previous year. "Sufficient energy" indicates that the storage volume is higher than the consumption volume, and "insufficient energy" indicates that the storage volume is lower than the consumption volume. The output terminal of "insufficient energy" is connected to the difference data, and the output terminal of the difference data is connected to the reminder module. The difference data is used to display the difference between the storage volume and the consumption volume, and the reminder module is used to prompt staff to schedule hydrogen, ammonia, and alcohol energy to make up the difference.

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