Solid oxide fuel cell and electricity-to-gas energy hub modeling method

Abstract

The invention provides a solid oxide fuel cell and electricity-to-gas energy hub modeling method. The energy hub modeling method comprises the following steps: predicting a thermal load demand change curve and a total thermal load demand of a heat supply area in a target time period; constructing an energy hub model; the heat storage loss coefficient of the heat storage device in the target time period of the environment where the heat storage device is located is tested; inputting a heat load demand change curve, a total heat load demand and a heat storage loss coefficient, and simulating the energy hub model; calculating the heat loss of the heat storage device; the first proportion of the first part of hydrogen and the second part of hydrogen in the first total amount of hydrogen and the second proportion of the first part of methane and the second part of methane in the first total amount of methane are adjusted, and the values of the first proportion and the second proportion under the condition that the heat loss of the heat storage device is minimum are solved. The problem that when the energy hub stores heat to meet the high-load requirement, heat storage loss is large is solved.

Description

Technical Field

[0001] The present invention relates to the field of fuel cell technology, and in particular to a solid oxide fuel cell and a power-to-gas energy hub modeling method. Background Art

[0002] In recent years, my country has gradually focused its work in the energy field on building an economical and efficient modern energy system, focusing on increasing the consumption of clean energy and promoting the healthy ecological development of the energy industry. Energy hubs involve a variety of energy forms, and their core is to achieve economical and efficient use of energy. Due to the characteristics and development differences of different energy forms, energy supply systems are often independently planned, designed, and operated, lacking interaction with each other, and thus unable to guarantee efficient use of energy and safe and reliable operation. Energy hubs can effectively bring together a variety of energy forms, greatly improve energy utilization efficiency while meeting energy supply needs, and achieve cascade utilization of energy.

[0003] At present, the energy hub model is unable to predict the user's demand for heat load when performing electricity-gas-heat conversion in advance, resulting in a large waste of energy storage devices due to their own energy loss. Summary of the invention

[0004] The problem solved by the present invention is that the energy hub model cannot predict the user's demand for heat load when performing electricity-gas-heat conversion in advance, resulting in a large waste of energy storage devices due to their own energy loss.

[0005] To solve the above problems, the present invention provides an energy hub modeling method for solid oxide fuel cells and power-to-gas, the energy hub modeling method comprising: step S1: predicting the heat load demand change curve and total heat load demand of the heating area within the target time period; step S2: constructing an energy hub model; the energy hub model comprises a hydrogen production device, a methane production device, a hydrogen gas turbine, a methane gas turbine, a gas boiler, a heat storage device and a battery; step S3: testing the heat storage loss coefficient of the heat storage device within the target time period of its environment; step S4: inputting the heat load demand change curve, the total heat load demand, and the heat storage loss coefficient to simulate the energy hub model; simulating the energy hub model, specifically comprising: before the peak time period of heat load change, connecting the energy hub to the power grid, the hydrogen production device obtains hydrogen by electrolyzing water, and respectively deriving a first part of hydrogen and a second part of hydrogen according to the first total amount of hydrogen generated, the first part of hydrogen is introduced into the hydrogen gas turbine to generate electricity and heat, the second part of hydrogen is used for the methane production device to prepare methane, and the first total amount of methane obtained is respectively derived into the first part of methane and the second part of methane, the first part of methane A methane gas turbine is introduced to generate electricity and heat, and the second part of methane is introduced into the gas boiler together with the natural gas connected to the natural gas grid to generate heat. At least part of the heat supplied by the hydrogen gas turbine, the methane gas turbine and the gas boiler is stored in the heat storage device, and the rest directly supplies heat to the heating area. The hydrogen gas turbine and the methane gas turbine generate electricity and are stored in the battery; at the beginning of the peak time period of heat load change, the direct heat supply of the hydrogen gas turbine, the methane gas turbine and the gas boiler to the heating area is increased and / or the heat storage device is opened to heat the heating area; at the end of the peak time period of heat load change Before the end of the power supply, the energy hub is turned off, and only the heat storage device and the natural gas network are kept supplying heat to the heating area; at the end of the peak time period of heat load change, the heat storage device is turned off; step S5: calculate the heat loss of the heat storage device from the time when the energy hub is connected to the power grid this time to the time when the energy hub is connected to the power grid next time; step S6: adjust the first ratio of the first part of hydrogen and the second part of hydrogen in the first total amount of hydrogen, and the second ratio of the first part of methane and the second part of methane in the first total amount of methane, and solve the values ​​of the first ratio and the second ratio when the heat loss of the heat storage device is minimized.

[0006] The technical effects achieved after adopting this technical solution are: predicting the heat load demand change curve of the heating area, facilitating the analysis of the changes in actual heat demand, thereby adjusting the heating method and time, reducing the subsequent waste of heat storage too early, reducing heat storage losses, and avoiding insufficient load holding capacity of the heat storage device when a higher heat load is required; predicting the total heat load demand, facilitating the reduction of unnecessary excessive heat storage while meeting the heat load demand, thereby avoiding heat storage losses when the heat load demand is reduced; the energy storage of power-to-gas can be realized through the hydrogen production device and the methane production device, which is convenient for subsequent energy storage The device stores energy, thereby releasing heat when needed; hydrogen production is a necessary step in methane production. On this basis, hydrogen combustion heats up faster, and the produced methane produces more heat after combustion than the original hydrogen combustion. Therefore, the ratio of hydrogen and methane is allocated according to these two characteristics, which is convenient for adjusting the heat storage method at different stages of heating, thereby meeting the heat load demand while reducing heat loss; hydrogen gas turbines and methane gas turbines generate electricity and store it in batteries. The electricity from the batteries can be used for additional power supply when the electricity load demand is high, and can also be used to generate heat to further increase the heat load, which is equivalent to another way of heat storage. Storing heat before the peak time period of heat load change can ensure that the heat storage device has sufficient heat load during the peak time period of heat load change, which is convenient for heat release. During this stage, the hydrogen gas turbine, methane gas turbine and gas boiler directly supply heat to meet the basic heat load demand, and the heat storage device is closed to improve its heat storage efficiency. At the beginning of the peak time period of heat load change, increasing the heat supply of the hydrogen gas turbine, methane gas turbine and gas boiler or turning on the heat storage device can further meet the heat load demand. It is closed before the end of the peak time period of heat load change, that is, when the heat load of the heat storage device can meet the requirements, the heat stored in the heat storage device is consumed first to avoid the waste or natural loss of residual heat in the heat storage device due to reduced demand after the peak time period of heat load change.

[0007] Furthermore, step S1 specifically includes: step S11: extracting the proportion of civil heating load in the heating area, the residential occupancy rate in the heating area, and the average meteorological conditions and average heating load at multiple time points every day as an input set, and inputting the input set into a prediction model based on the AMO-DNNs algorithm and the RSA-GRU algorithm to obtain the heat load demand change curve and total heat load demand of the energy hub.

[0008] The technical effect achieved after adopting this technical solution is: based on the proportion of civil heating load and the residential occupancy rate in the heating area, it is convenient to estimate the civil heating load demand. According to the changes in heat load corresponding to meteorological conditions, it is convenient to correct the heat load demand at different times of the day, thereby more accurately reflecting the user's heating demand caused by the weather.

[0009] Furthermore, step S1 also includes: step S12: determining the heat load correction weight based on the changes in meteorological conditions in the heating area and the heating satisfaction level in the heating area on the current day; step S13: correcting the heat load demand change curve and the total heat load demand based on the heat load correction weight.

[0010] The technical effect achieved after adopting this technical solution is that the meteorological conditions of the previous day and the corresponding heat load demand can more accurately reflect the changes in the meteorological and heat load demand of the day. When extreme weather occurs in the near future, the operation strategy of the energy hub can be adjusted immediately.

[0011] Further, step S5 specifically includes: recording a load holding capacity change curve of the heat storage device from the time when the energy hub is connected to the grid to the next time the energy hub is connected to the grid, and solving the heat loss of the heat storage device in combination with the heat storage loss coefficient.

[0012] The technical effect achieved after adopting this technical solution is as follows: the load holding capacity change curve reflects the load holding capacity of the energy storage device at each moment, and the more the load holding capacity, the more the heat storage loss. Therefore, the heat storage loss at each moment is calculated based on the load holding capacity and the heat storage loss coefficient, and the total heat loss of the heat storage device can be obtained. In addition to the necessary heat storage load, the heat storage time and heat storage amount are adjusted to reduce the heat storage loss.

[0013] Furthermore, in step S4, the energy hub model is simulated, which also includes: if the meteorological condition changes in the heating area on the current day do not meet the first meteorological condition, or the heating satisfaction of the heating area does not meet the first satisfaction condition, then before the peak time period of the heat load change, the battery is turned on for electric heating; the heat generated by the electric heating, as well as the heat supply of the hydrogen gas turbine, the methane gas turbine and the gas boiler are at least partially stored in the heat storage device, and the rest directly supplies heat to the heating area.

[0014] The technical effect achieved after adopting this technical solution: meteorological conditions will bring about significant changes in heat storage demand, and based on the heating satisfaction, it can reflect whether the current heating meets user needs. Therefore, a comprehensive judgment can be made to determine whether the energy hub needs to increase heat production; if the conditions are met, electric heating can further increase heat production and increase heat load, and it can also directly heat the heating area, thereby further meeting user needs.

[0015] Furthermore, in step S4, the energy hub model is simulated, which also includes: the battery has a minimum preset power, and when the battery power reaches the minimum preset power, the battery electric heating power is at most the sum of the power generation powers of the hydrogen gas turbine and the methane gas turbine.

[0016] The technical effect achieved after adopting this technical solution is as follows: when the power of the power storage battery reaches the minimum preset power, emergency power supply cannot be provided when the power load demand is high, nor can emergency heating be provided when the weather conditions are poor. Therefore, it is necessary to increase power storage and increase the power generation of the hydrogen gas turbine or methane gas turbine.

[0017] Furthermore, in step S4, the energy hub model is simulated, which also includes: the battery has a maximum preset power. When the power of the battery reaches the maximum preset power, the hydrogen gas turbine and the methane gas turbine stop working, and the hydrogen obtained by the hydrogen production device through electrolysis of water is all used for the methane production device to prepare methane. The methane prepared by the methane production device is introduced into the gas boiler together with the natural gas connected to the natural gas grid to produce heat.

[0018] The technical effect achieved after adopting this technical solution is: when the battery power reaches the maximum preset power, there is no need to store electricity anymore. At this time, the chemical energy of hydrogen and methane can be converted into thermal energy, that is, passed into the gas boiler to generate heat, which can be used for heat storage or direct heating.

[0019] Furthermore, in step S4, the energy hub model is simulated, which also includes: setting a maximum heat load reserve for the heat storage device; before the peak time period of heat load change, when the heat storage device reaches the maximum heat load reserve, the hydrogen gas turbine, the methane gas turbine and the gas boiler intermittently supply heat to the heat storage device for insulation, and the rest directly supply heat to the heating area, and the heat storage device is prohibited from directly supplying heat; at the beginning of the peak time period of heat load change, when the heat storage device reaches the maximum heat load reserve, the hydrogen gas turbine, the methane gas turbine, the gas boiler and the heat storage device directly supply heat to the heating area, increasing the proportion of the second part of methane in the first total amount of methane; before the end of the peak time period of heat load change, when the heat storage device reaches the maximum heat load reserve, the energy hub is closed early, and only the heat storage device and the natural gas network are kept supplying heat to the heating area.

[0020] The technical effect achieved after adopting this technical solution is as follows: before the peak time period of heat load change, the heat storage device reaches the maximum heat load holding capacity. During this time, the heat supply is interrupted to avoid the heat load drop of the heat storage device and avoid dealing with the peak of heat load change. At this time, by calculating the heat loss of the heat storage device and adjusting the time when the heat storage device starts storing heat in the energy hub model, the situation in which the heat storage device reaches the maximum heat load holding capacity before the peak time period of heat load change is reduced, thereby reducing the heat loss during the period and achieving the effect of energy saving.

[0021] Furthermore, in step S4, the energy hub model is simulated, which also includes: setting a minimum heat load reserve for the heat storage device; before the peak time period of the heat load change and after the energy hub is connected to the power grid, when the heat storage device is lower than the minimum heat load reserve, increasing the proportion of the first part of methane in the first total amount of methane.

[0022] The technical effect achieved after adopting this technical solution is as follows: before the peak time period of thermal load change and after the energy hub is connected to the power grid, that is, the energy hub model has begun to prepare for the energy storage of the energy storage device. At this time, if the energy storage device is at the minimum thermal load holding amount, it is necessary to increase the thermal load of the energy storage as soon as possible, and increase the proportion of the first part of methane in the first total amount of methane, which can increase the energy storage capacity brought by the methane gas turbine. The energy storage capacity includes the energy supply to the energy storage device by directly generating heat from the methane gas turbine, and also includes the energy storage device generating electricity first and then generating heat to realize the energy supply to the energy storage device.

[0023] Furthermore, step S6 specifically includes: if the duration of the heat load change peak time period meets the first duration condition, and the heat load change peak does not meet the first peak condition, then increasing the proportion of the second part of hydrogen in the first total amount of hydrogen; if the duration of the heat load change peak time period does not meet the first duration condition, and the heat load change peak meets the first peak condition, then increasing the proportion of the first part of hydrogen in the first total amount of hydrogen; if the duration of the heat load change peak time period meets the first duration condition, and the heat load change peak meets the first peak condition, then increasing the first total amount of hydrogen.

[0024] The technical effect achieved after adopting this technical solution is: when the duration of the peak time period of the heat load change meets the first duration condition, the duration is longer, and continuous and more heat production is required at this time, thereby increasing the amount of hydrogen converted to methane, thereby increasing the final total heat; when the peak value of the heat load change meets the first peak condition, the heat load demand peak is large, and rapid temperature rise is required at this time, thereby increasing the amount of direct hydrogen combustion and power generation, thereby efficiently producing heat; when both conditions are met, further increasing the amount of hydrogen prepared can simultaneously improve the heat production efficiency and the heat production per unit time. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flowchart of a solid oxide fuel cell and power-to-gas energy hub modeling method provided for the invention; Figure 2 This is a schematic diagram of the structure of the energy hub model. DETAILED DESCRIPTION

[0026] The purpose of the present invention is to provide a flow chart of a solid oxide fuel cell and a power-to-gas energy hub modeling method for achieving the effect of reducing heat storage losses when the energy hub stores heat to cope with high load demands.

[0027] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0028] See also Figure 1-Figure 2 The present invention provides an energy hub modeling method for solid oxide fuel cells and power-to-gas, the energy hub modeling method comprising: step S1: predicting the heat load demand change curve and total heat load demand of the heating area within the target period; step S2: constructing an energy hub model; the energy hub model comprises a hydrogen production device, a methane production device, a hydrogen gas turbine, a methane gas turbine, a gas boiler, a heat storage device and a battery; step S3: testing the heat storage loss coefficient of the heat storage device within the target period of its environment; step S4: inputting the heat load demand change curve, the total heat load demand, and the heat storage loss coefficient to simulate the energy hub model; simulating the energy hub model, specifically comprising: before the peak time period of heat load change, connecting the energy hub to the power grid, the hydrogen production device obtains hydrogen by electrolyzing water, and respectively deriving a first part of hydrogen and a second part of hydrogen according to the first total amount of hydrogen generated, the first part of hydrogen is introduced into the hydrogen gas turbine for power generation and heat generation, the second part of hydrogen is used for the methane production device to prepare methane, and the first total amount of methane obtained is respectively derived into the first part of methane and the second part of methane, and the first part of methane is introduced into the methane production device The gas turbine generates electricity and heat, the second part of methane is introduced into the gas boiler together with the natural gas connected to the natural gas grid to generate heat, at least part of the heat supplied by the hydrogen gas turbine, methane gas turbine and gas boiler is stored in the heat storage device, and the rest directly supplies heat to the heating area. The hydrogen gas turbine and methane gas turbine generate electricity and then store it in the battery; at the beginning of the peak time period of heat load change, the direct heat supply of the hydrogen gas turbine, methane gas turbine and gas boiler to the heating area is increased and / or the heat storage device is opened to heat the heating area; before the end of the peak time period of heat load change , turn off the energy hub, and only keep the heat storage device and the natural gas network supplying heat to the heating area; at the end of the peak time period of heat load change, turn off the heat storage device; step S5: calculate the heat loss of the heat storage device from the time when the energy hub is connected to the grid to the next time the energy hub is connected to the grid; step S6: adjust the first ratio of the first part of hydrogen and the second part of hydrogen in the first total amount of hydrogen, and the second ratio of the first part of methane and the second part of methane in the first total amount of methane, and solve the values ​​of the first ratio and the second ratio when the heat loss of the heat storage device is minimized.

[0029] It should be noted that predicting the heat load demand change curve of the heating area is convenient for analyzing the changes in actual heat demand, so as to adjust the heating method and time, reduce the subsequent waste of heat storage too early, reduce heat storage loss, and avoid insufficient load holding capacity of the heat storage device when a higher heat load is required; predicting the total heat load demand is convenient for reducing unnecessary excessive heat storage while meeting the heat load demand, thereby avoiding heat storage loss when the heat load demand decreases; the energy storage of power-to-gas can be realized through the hydrogen production device and the methane production device, which is convenient for subsequent energy storage in the energy storage device , thereby releasing heat when needed; hydrogen production is a necessary step in methane production. On this basis, hydrogen combustion heats up faster, and the produced methane generates more heat after combustion than the original hydrogen combustion. Therefore, the ratio of hydrogen and methane is allocated according to these two characteristics, which is convenient for adjusting the heat storage method at different stages of heating, so as to meet the heat load demand while reducing heat loss; hydrogen gas turbines and methane gas turbines generate electricity and store it in batteries. The electricity from the batteries can be used for additional power supply when the electricity load demand is high, or it can be used to generate heat to further increase the heat load, which is equivalent to another way of heat storage. Storing heat before the peak time period of heat load change can ensure that the heat storage device has sufficient heat load during the peak time period of heat load change, which is convenient for heat release. During this stage, the hydrogen gas turbine, methane gas turbine and gas boiler directly supply heat to meet the basic heat load demand, and the heat storage device is closed to improve its heat storage efficiency. At the beginning of the peak time period of heat load change, increasing the heat supply of the hydrogen gas turbine, methane gas turbine and gas boiler or turning on the heat storage device can further meet the heat load demand. It is closed before the end of the peak time period of heat load change, that is, when the heat load of the heat storage device can meet the requirements, the heat stored in the heat storage device is consumed first to avoid the waste or natural loss of residual heat in the heat storage device due to reduced demand after the peak time period of heat load change.

[0030] Preferably, in step S4, simulating the energy hub model specifically includes: selecting a time period in which the heat load is greater than the target heat load value in the heat load demand change curve, and when the interval between adjacent time periods is less than the interval threshold, merging the adjacent time periods to obtain a heat load change peak time period.

[0031] In a specific embodiment, step S1 specifically includes: step S11: extracting the proportion of civil heating load in the heating area, the residential occupancy rate in the heating area, and the average meteorological conditions and average heating load at multiple time points every day as an input set, and inputting the input set into a prediction model based on the AMO-DNNs algorithm and the RSA-GRU algorithm to obtain the heat load demand change curve and the total heat load demand of the energy hub.

[0032] It should be noted that the civil heating load ratio and residential occupancy rate in the heating area can be used to estimate the civil heating load demand. The heat load changes corresponding to meteorological conditions can be used to correct the heat load demand at different times of the day, thereby more accurately reflecting the user's heating demand due to the weather.

[0033] In a specific embodiment, step S1 also includes: step S12: determining the heat load correction weight based on the changes in meteorological conditions in the heating area and the heating satisfaction level in the heating area on the current day; step S13: correcting the heat load demand change curve and the total heat load demand based on the heat load correction weight.

[0034] It should be noted that the meteorological conditions and corresponding heat load demand of the previous day can more accurately reflect the changes in meteorological and heat load demand of the day. When extreme weather occurs in the near future, the operation strategy of the energy hub can be adjusted immediately.

[0035] In a specific embodiment, step S5 specifically includes: recording a load holding capacity change curve of the heat storage device from the time when the energy hub is connected to the grid to the next time the energy hub is connected to the grid, and solving the heat loss of the heat storage device in combination with the heat storage loss coefficient.

[0036] It should be noted that the load holding capacity change curve reflects the load holding capacity of the energy storage device at each moment, and the more the load holding capacity, the more heat storage loss. Therefore, the heat storage loss at each moment is calculated based on the load holding capacity and the heat storage loss coefficient, and the total heat loss of the heat storage device can be obtained. In addition to the necessary heat storage load, the heat storage time and heat storage amount are adjusted to reduce the heat storage loss.

[0037] In a specific embodiment, in step S4, the energy hub model is simulated, and the following further includes: if the meteorological condition change in the heating area on the current day does not meet the first meteorological condition, or the heating satisfaction level in the heating area does not meet the first satisfaction level, then before the peak time period of the heat load change, the battery is turned on for electric heating; the heat generated by the electric heating, as well as the heat supplied by the hydrogen gas turbine, the methane gas turbine and the gas boiler are at least partially stored in the heat storage device, and the rest is directly used to heat the heating area.

[0038] It should be noted that meteorological conditions will bring about significant changes in heat storage demand, and based on the heat supply satisfaction, it can reflect whether the current heat supply meets user needs. Therefore, a comprehensive judgment can be made to determine whether the energy hub needs to increase heat production; if the conditions are met, electric heating can further increase heat production and increase heat load, or it can directly heat the heating area, thereby further meeting user needs.

[0039] In a specific embodiment, in step S4, the energy hub model is simulated, and also includes: the battery has a minimum preset power, and when the battery power reaches the minimum preset power, the battery electric heating power is at most the sum of the power generation powers of the hydrogen gas turbine and the methane gas turbine.

[0040] It should be noted that when the power of the power storage battery reaches the minimum preset power, it is impossible to provide emergency power supply when the power load demand is high, nor is it possible to provide emergency heating when the weather conditions are poor. Therefore, it is necessary to increase power storage and increase the power generation of the hydrogen gas turbine or methane gas turbine.

[0041] In a specific embodiment, in step S4, the energy hub model is simulated, and also includes: the battery has a maximum preset power. When the power of the battery reaches the maximum preset power, the hydrogen gas turbine and the methane gas turbine stop working, and the hydrogen obtained by the hydrogen production device through electrolysis of water is all used for the methane production device to prepare methane. The methane prepared by the methane production device is introduced into the gas boiler together with the natural gas connected to the natural gas grid to produce heat.

[0042] It should be noted that when the battery power reaches the maximum preset power, there is no need to store electricity anymore. At this time, the chemical energy of hydrogen and methane can be converted into thermal energy, that is, passed into the gas boiler to generate heat, which can be used for heat storage or direct heating.

[0043] In a specific embodiment, in step S4, the energy hub model is simulated, and also includes: setting the maximum heat load holding capacity of the heat storage device; before the peak time period of heat load change, when the heat storage device reaches the maximum heat load holding capacity, the hydrogen gas turbine, the methane gas turbine and the gas boiler intermittently heat the heat storage device to keep it warm, and the rest directly heat the heating area, and the heat storage device is prohibited from directly heating; at the beginning of the peak time period of heat load change, when the heat storage device reaches the maximum heat load holding capacity, the hydrogen gas turbine, the methane gas turbine, the gas boiler and the heat storage device directly heat the heating area, increasing the proportion of the second part of methane in the first total amount of methane; before the end of the peak time period of heat load change, when the heat storage device reaches the maximum heat load holding capacity, the energy hub is closed early, and only the heat storage device and the natural gas network are kept heating the heating area.

[0044] It should be noted that before the peak time period of heat load change, the heat storage device reaches the maximum heat load holding capacity. At this time, the heat supply is interrupted to avoid the heat load of the heat storage device from decreasing and to avoid dealing with the peak of heat load change. At this time, by calculating the heat loss of the heat storage device and adjusting the time when the heat storage device starts storing heat in the energy hub model, the situation in which the heat storage device reaches the maximum heat load holding capacity before the peak time period of heat load change is reduced, which can reduce the heat loss during the period and achieve energy saving effect.

[0045] In a specific embodiment, in step S4, the energy hub model is simulated, and also includes: setting a minimum heat load holding amount for the heat storage device; before the peak time period of the heat load change and after the energy hub is connected to the power grid, when the heat storage device is lower than the minimum heat load holding amount, increasing the proportion of the first part of methane in the first total amount of methane.

[0046] It should be noted that before the peak time period of thermal load change and after the energy hub is connected to the power grid, that is, the energy hub model has begun to prepare for the energy storage of the energy storage device. At this time, if the energy storage device is at the minimum thermal load holding amount, it is necessary to increase the thermal load of the energy storage as soon as possible. Increasing the proportion of the first part of methane in the first total amount of methane can increase the energy storage capacity brought by the methane gas turbine. The energy storage capacity includes the energy supply to the energy storage device by directly generating heat from the methane gas turbine, and also includes the energy storage device generating electricity first and then generating heat to realize the energy supply to the energy storage device.

[0047] In a specific embodiment, step S6 specifically includes: if the duration of the heat load change peak time period satisfies the first duration condition, and the heat load change peak does not meet the first peak condition, then increasing the proportion of the second part of hydrogen in the first total amount of hydrogen; if the duration of the heat load change peak time period does not meet the first duration condition, and the heat load change peak meets the first peak condition, then increasing the proportion of the first part of hydrogen in the first total amount of hydrogen; if the duration of the heat load change peak time period meets the first duration condition, and the heat load change peak meets the first peak condition, then increasing the first total amount of hydrogen.

[0048] It should be noted that when the duration of the peak time period of the heat load change meets the first duration condition, the duration is longer. At this time, continuous and more heat production is required, so the amount of hydrogen converted to methane is increased, thereby increasing the final total heat; when the peak value of the heat load change meets the first peak condition, the heat load demand peak is large. At this time, rapid temperature rise is required, so the amount of direct hydrogen combustion and power generation is increased, thereby efficiently producing heat; when both conditions are met, further increasing the amount of hydrogen prepared can simultaneously improve the heat production efficiency and the heat production per unit time.

[0049] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A method for modeling a solid oxide fuel cell and a power-to-gas energy hub, characterized in that: The energy hub modeling method comprises: Step S1: predicting the heat load demand change curve and total heat load demand of the heating area within the target period; Step S2: constructing an energy hub model; the energy hub model includes a hydrogen production device, a methane production device, a hydrogen gas turbine, a methane gas turbine, a gas boiler, a heat storage device and a battery; Step S3: testing the heat storage loss coefficient of the heat storage device within a target period of time in the environment in which it is located; Step S4: Input the heat load demand change curve, the total heat load demand, and the heat storage loss coefficient to simulate the energy hub model; the simulation of the energy hub model specifically includes: before the peak time period of the heat load change, the energy hub is connected to the power grid, the hydrogen production device obtains hydrogen by electrolyzing water, and the first part of the hydrogen and the second part of the hydrogen are respectively derived according to the first total amount of hydrogen generated, the first part of the hydrogen is passed into the hydrogen gas turbine to generate electricity and heat, and the second part of the hydrogen is used for the methane production device to prepare methane, and the first total amount of methane produced is respectively derived into the first part of the methane and the second part of the methane, the first part of the methane is passed into the methane gas turbine to generate electricity and heat, and the second part of the methane is connected to the natural gas grid The natural gas is introduced into the gas boiler together to generate heat, at least part of the heat supplied by the hydrogen gas turbine, the methane gas turbine and the gas boiler is stored in the heat storage device, and the rest directly supplies heat to the heating area. The hydrogen gas turbine and the methane gas turbine generate electricity and then store it in the battery; at the beginning of the peak time period of heat load change, the direct heat supply to the heating area by the hydrogen gas turbine, the methane gas turbine and the gas boiler is increased and / or the heat storage device is turned on to heat the heating area; before the end of the peak time period of heat load change, the energy hub is closed, and only the heat storage device and the natural gas network are kept to heat the heating area; at the end of the peak time period of heat load change, the heat storage device is closed; Step S5: Calculate the heat loss of the heat storage device from the time when the energy hub is connected to the grid to the time when the energy hub is connected to the grid next time; Step S6: adjusting a first ratio of the first portion of hydrogen and the second portion of hydrogen in the first total amount of hydrogen, and a second ratio of the first portion of methane and the second portion of methane in the first total amount of methane, and solving for values ​​of the first ratio and the second ratio when heat loss of the heat storage device is minimized.

2. The energy hub modeling method according to claim 1, characterized in that: The step S1 specifically includes: Step S11: Extract the proportion of civil heating load in the heating area, the residential occupancy rate in the heating area, and the average meteorological conditions and average heating load at multiple time points every day as input sets, and input the input sets into the prediction model based on the AMO-DNNs algorithm and the RSA-GRU algorithm to obtain the heat load demand change curve and total heat load demand of the energy hub.

3. The energy hub modeling method according to claim 2, characterized in that: The step S1 further comprises: Step S12: determining the heat load correction weight based on the meteorological condition changes in the heating area and the heating satisfaction level in the heating area in the current day; Step S13: Correcting the heat load demand variation curve and the total heat load demand based on the heat load correction weight.

4. The energy hub modeling method according to claim 1, characterized in that: The step S5 specifically includes: The load holding capacity change curve of the heat storage device from the time the energy hub is connected to the grid to the next time the energy hub is connected to the grid is recorded, and the heat loss of the heat storage device is solved in combination with the heat storage loss coefficient.

5. The energy hub modeling method according to claim 1, characterized in that: In step S4, simulating the energy hub model further includes: If the change in meteorological conditions in the heating area on the current day does not meet the first meteorological condition, or the heating satisfaction level in the heating area does not meet the first satisfaction level, the battery is turned on for electric heating before the peak time period of the heat load change; the heat generated by the electric heating, and the heat supplied by the hydrogen gas turbine, the methane gas turbine and the gas boiler are at least partially stored in the heat storage device, and the rest is directly used to heat the heating area.

6. The energy hub modeling method according to claim 5, characterized in that: In step S4, simulating the energy hub model further includes: The battery has a minimum preset power level. When the power level of the battery reaches the minimum preset power level, the electric heating power of the battery is at most the sum of the power generation powers of the hydrogen gas turbine and the methane gas turbine.

7. The energy hub modeling method according to claim 1, characterized in that: In step S4, simulating the energy hub model further includes: The battery has a maximum preset power. When the power of the battery reaches the maximum preset power, the hydrogen gas turbine and the methane gas turbine stop operating, and all the hydrogen obtained by the hydrogen production device through electrolysis of water is used for the methane production device to prepare methane. The methane prepared by the methane production device is introduced into the gas boiler together with the natural gas connected to the natural gas grid to produce heat.

8. The energy hub modeling method according to claim 1, characterized in that: In step S4, simulating the energy hub model further includes: The heat storage device is set with a maximum heat load holding capacity; Before the peak time period of heat load change, when the heat storage device reaches the maximum heat load holding amount, the hydrogen gas turbine, the methane gas turbine and the gas boiler intermittently heat the heat storage device for heat preservation, and the rest directly heat the heating area, and the heat storage device is prohibited from directly heating; At the beginning of the peak time period of heat load change, when the heat storage device reaches the maximum heat load holding amount, the hydrogen gas turbine, the methane gas turbine, the gas boiler and the heat storage device directly supply heat to the heating area, increasing the proportion of the second part of methane in the first total amount of methane; Before the end of the peak period of heat load variation, when the heat storage device reaches the maximum heat load holding capacity, the energy hub is shut down early, and only the heat storage device and the natural gas grid are kept supplying heat to the heating area.

9. The energy hub modeling method according to claim 1, characterized in that: In step S4, simulating the energy hub model further includes: The heat storage device is set with a minimum heat load holding capacity; Before the peak time period of heat load variation and after the energy hub is connected to the power grid, when the heat storage device is lower than the minimum heat load holding amount, the proportion of the first part of methane in the first total amount of methane is increased.

10. The energy hub modeling method according to claim 1, characterized in that: The step S6 specifically includes: If the duration of the heat load change peak time period meets the first duration condition, and the heat load change peak does not meet the first peak condition, then increasing the proportion of the second part of hydrogen in the first total amount of hydrogen; If the duration of the heat load change peak time period does not meet the first duration condition, and the heat load change peak meets the first peak condition, then the proportion of the first part of hydrogen in the first total amount of hydrogen is increased; If the duration of the heat load change peak time period meets the first duration condition and the heat load change peak meets the first peak condition, the first total amount of hydrogen is increased.

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