Energy storage capacity determination method and device, medium and equipment

Abstract

The invention relates to an energy storage capacity determination method and device of a renewable energy source and coal chemical coupling system, a medium and equipment. The method comprises the following steps: determining a hydrogen demand increment rate and a steam demand increment rate according to historical hydrogen and steam use data of a chemical plant; determining a chemical plant hydrogen demand curve according to the hydrogen demand increment rate and the planned hydrogen demand curve; determining a chemical plant steam demand curve according to the steam demand increment rate, the planned steam demand curve and the hydrogen production system heat energy demand curve; a target function is established by taking renewable energy consumption rate maximization as a target, the target function has constraint conditions for hydrogen storage capacity, electric energy storage, power balance and system operation, and the constraint conditions of the system operation need to meet a chemical plant hydrogen demand curve and a chemical plant steam demand curve; and determining the electric energy storage capacity meeting the objective function through an optimization algorithm. Therefore, the rationality of the determined electric energy storage capacity is improved, and the waste of renewable energy sources is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of electric power technology, and in particular to a method, device, medium and equipment for determining energy storage capacity of a renewable energy and coal chemical coupling system. Background Art

[0002] Building a clean, low-carbon, safe and efficient modern energy system is the current development direction of my country's energy transformation. Hydrogen energy storage technology uses hydrogen as a chemical energy carrier, which can easily achieve effective, long-term and wide-area energy storage. When electricity is needed, the stored hydrogen is converted into electricity in different ways and transmitted to the power grid. In the process of hydrogen production from renewable energy, the larger the capacity of hydrogen production, hydrogen storage and fuel cells, the less wind and solar power will be abandoned in the system, but the construction cost will also increase. Therefore, how to reasonably determine the system energy storage capacity has become an issue of increasing concern. Summary of the invention

[0003] The purpose of the present disclosure is to provide a method, device, medium and equipment for determining the energy storage capacity of a renewable energy and coal chemical coupling system, so as to improve the rationality of the determined electrical energy storage capacity and reduce the waste of renewable energy.

[0004] In order to achieve the above-mentioned object, the present disclosure provides, in a first aspect, a method for determining energy storage capacity of a renewable energy and coal chemical coupling system, comprising:

[0005] Determine the incremental rate of hydrogen demand and steam demand based on the historical hydrogen and steam consumption data of the chemical plant;

[0006] Determining a hydrogen demand curve for a chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve;

[0007] Determining a steam demand curve for the chemical plant according to the steam demand increment rate, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system;

[0008] An objective function is established with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints on hydrogen storage capacity, electrical energy storage, power balance and system operation, wherein the constraints on the system operation must satisfy the hydrogen demand curve of the chemical plant and the steam demand curve of the chemical plant;

[0009] The electric energy storage capacity that satisfies the objective function is determined through an optimization algorithm.

[0010] A second aspect of the present disclosure provides a device for determining energy storage capacity of a renewable energy and coal chemical coupling system, comprising:

[0011] The first determination module is used to determine the hydrogen demand increment rate and the steam demand increment rate according to the historical hydrogen and steam consumption data of the chemical plant;

[0012] A second determination module is used to determine the hydrogen demand curve of the chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve;

[0013] A third determination module is used to determine the steam demand curve of the chemical plant according to the steam demand increment rate, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system;

[0014] A construction module for establishing an objective function with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints on hydrogen storage capacity, electrical energy storage, power balance and system operation;

[0015] The fourth determination module determines the electric energy storage capacity that satisfies the objective function through an optimization algorithm.

[0016] A third aspect of the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present disclosure.

[0017] A fourth aspect of the present disclosure provides an electronic device, including:

[0018] a memory having a computer program stored thereon;

[0019] A controller, wherein when the computer program is executed by the controller, the steps of the method provided in the first aspect of the present disclosure are implemented.

[0020] In the above technical scheme, based on the historical hydrogen and steam data of the chemical plant, the incremental rate of hydrogen demand and the incremental rate of steam demand are determined; based on the incremental rate of hydrogen demand and the planned hydrogen demand curve, a chemical plant hydrogen demand curve with higher reliability can be determined; in the coupled system of renewable energy and coal chemical industry, the required heat can be provided to the hydrogen production system through internal heating, and based on the incremental rate of steam demand, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system, a chemical plant steam demand curve with higher reliability can be determined. In this way, the determined hydrogen demand curve and steam demand curve of the chemical plant can better adapt to the actual hydrogen demand and actual steam demand in the future. An objective function is established with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints for hydrogen storage capacity, electrical energy storage, power balance and system operation, among which the constraints for system operation must meet the hydrogen demand curve and steam demand curve of the chemical plant; the electrical energy storage capacity that meets the objective function is determined through the optimization algorithm. In this way, the renewable energy absorption rate can be improved, the stable operation of the system, power supply reliability, hydrogen production and economical electric energy storage capacity can be ensured, and a reference can be provided for the subsequent construction of renewable energy and coal chemical coupling systems.

[0021] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0023] Figure 1 It is a flow chart of a method for determining energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure.

[0024] Figure 2 It is a flow chart of a method for determining energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure.

[0025] Figure 3 It is a flow chart of a method for determining energy storage installed power provided by an exemplary embodiment of the present disclosure.

[0026] Figure 4 It is a block diagram of an energy storage capacity determination device for a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure.

[0027] Figure 5 It is a block diagram of an electronic device for determining energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0029] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0030] The present disclosure relates to a coupling system of renewable energy and coal chemical industry, which may be an off-grid system, and the system may include: a renewable energy power generation system, a hydrogen production system, an energy storage system, a heat storage system, a hydrogen transportation system, a heat transmission pipeline, and hydrogen and steam equipment for coal chemical plants. Among them, renewable energy may include but is not limited to wind power, photovoltaic, hydropower generation, and tidal power generation; the hydrogen production system may include alkaline electrolyzers, PEM water electrolysis hydrogen production, and SOEC hydrogen production equipment; the energy storage system may include but is not limited to electrochemical energy storage systems such as lithium batteries and liquid flow batteries; the hydrogen transportation system may include long tube trailers and hydrogen transmission pipelines; the heat transmission pipelines and hydrogen and steam equipment for coal chemical plants may include but are not limited to PGA (polyglycolic acid) production equipment that can accept hydrogen input fluctuations.

[0031] Renewable energy provides energy for the hydrogen production system, energy storage system and heat storage system. The hydrogen produced by the hydrogen production system is stored in a hydrogen buffer tank and transported to the chemical plant by a long tube trailer. The steam produced by the heat storage system can be connected to the steam pipeline of the chemical plant, and provide heat energy for the chemical plant and the hydrogen production system at the same time. The energy storage in this system can provide voltage and frequency for the off-grid system. When the renewable energy generation is abundant, the hydrogen production system and the heat storage system operate at full power, and the energy storage system absorbs the surplus energy. When the renewable energy generation is insufficient, in order to ensure the chemical plant's demand for hydrogen production and heat storage, the energy storage system can supplement the required power generation.

[0032] Figure 1 FIG. 1 is a flow chart of a method for determining the energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure. Figure 1 As shown, the method may include S101 to S105.

[0033] S101, determining the incremental rate of hydrogen demand and the incremental rate of steam demand based on the historical hydrogen and steam usage data of the chemical plant.

[0034] For example, the historical hydrogen and steam data of a chemical plant may include the historical hydrogen demand curve and the historical steam demand curve for the coal chemical plant construction area for N years. Based on the historical hydrogen demand curve and the historical steam demand curve for N years, the historical hydrogen demand increment rate and the historical steam demand increment rate for each two adjacent time periods may be determined, and then the hydrogen demand increment rate and the steam demand increment rate may be determined by weighted average. In this way, the universality of the determined hydrogen demand increment rate and steam demand increment rate may be improved.

[0035] At present, the grid-connected renewable energy power generation is coupled with coal chemical industry, and it is impossible to determine green electricity. Although it replaces part of the hydrogen demand, and the coal-to-hydrogen technology is retained, steam is not provided to the coal chemical plant, and the incremental change of hydrogen demand is not considered. However, the off-grid renewable energy power generation and coal chemical industry in this disclosure are coupled, which can provide steam to the coal chemical plant, determine the incremental rate of hydrogen demand and the incremental rate of steam demand, so that the subsequent constraints involved can better adapt to the actual demand.

[0036] In addition, the operating temperature of mature hydrogen production equipment is currently 70℃-90℃, and if it is a SOEC (solid oxide electrolysis cell), it is even higher, up to 800℃-1000℃. Due to the volatility of renewable energy, the hydrogen production system also needs to maintain temperature when it is not working. On the one hand, it avoids cold start of the system due to shutdown and can produce hydrogen as soon as possible. On the other hand, it is beneficial to maintain the performance of the equipment. The outlet temperature of the heat storage system can be adjusted, and thus it can provide basic heat energy for the hydrogen production equipment when the hydrogen production system is not working.

[0037] S102, determining a hydrogen demand curve for the chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve.

[0038] For example, the planned hydrogen demand curve can be obtained through the production plan of the coal chemical plant. In an optional embodiment, the hydrogen demand curve of the chemical plant can be determined by the following formula:

[0039] HyD=(1+f hy )·Hy demand

[0040] Among them, HyD is the hydrogen demand curve of the chemical plant, f hy is the incremental rate of hydrogen demand, Hy demand is the planned hydrogen demand curve.

[0041] S103, determining a steam demand curve for the chemical plant according to the steam demand increment rate, the planned steam demand curve, and the thermal energy demand curve of the hydrogen production system.

[0042] For example, the planned steam demand curve can be obtained through the production plan of the coal chemical plant, and the heat energy demand curve of the hydrogen production system can be determined based on the parameters of the hydrogen production equipment. In an optional embodiment, the steam demand curve of the chemical plant can be determined by the following formula:

[0043] HaD=(1+f ha )·Heat demand +Heat hy

[0044] Among them, HaD is the steam demand curve of the chemical plant, f ha is the steam demand increment rate, Heat demand To plan the steam demand curve, Heathy is the heat energy demand curve of the hydrogen production system.

[0045] In this way, the hydrogen demand curve and steam demand curve of the chemical plant determined based on the future increase in hydrogen and steam demand are more accurate, which can better improve the availability of the subsequently determined electric energy storage capacity, and provide a reliable reference for the subsequent construction of renewable energy and coal chemical coupling systems.

[0046] S104, establishing an objective function with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints on hydrogen storage capacity, electrical energy storage, power balance and system operation, wherein the constraints on system operation must meet the hydrogen demand curve and the steam demand curve of the chemical plant.

[0047] For example, in the actual use of the renewable energy and coal chemical coupling system, it is necessary not only to consider maximizing the renewable energy consumption rate, that is, reducing the amount of wind and solar power abandoned in the system, but also to consider the stability of the system operation and the balance of the various components of the system. Therefore, constraints can be set for hydrogen storage capacity, electrical energy storage, power balance and system operation.

[0048] In an optional embodiment, renewable energy power generation includes photovoltaic power generation and wind power generation, and the objective function Min(P loss ):

[0049]

[0050] in, For the The maximum photovoltaic output power on a typical day is For the The maximum wind power output on a typical day is: For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: No. The power of electrochemical energy storage at time t on a typical day.

[0051] For example, the date when the power generation is greater than the first threshold can be determined as a typical day, and the typical day can be screened by the method for determining a typical day in the relevant technology. Usually, multiple typical days can be screened out, and the maximum wind power output can be the peak value of the wind power output on that day, and the maximum photovoltaic power output can be the peak value of the photovoltaic power output on that day. The hydrogen production power, thermal storage power, and electrochemical energy storage power can be found based on the historical data of the chemical plant.

[0052] It should be noted that the objective function can also be constructed with multiple of system stability, renewable energy consumption rate and economy as the goal, that is, the optimization goal of the renewable energy and coal chemical coupling system disclosed in the present invention can be a single goal or a multi-objective optimization. The objective function can be applied to the business scenario of multi-objective optimization and has flexible scalability. The above objective function is only used for example, but is not used to limit the present disclosure.

[0053] In an optional embodiment, the constraints of the hydrogen storage capacity include:

[0054]

[0055]

[0056] in, For the The remaining capacity of the hydrogen storage tank at time t on a typical day, For the The remaining capacity of the hydrogen storage tank at time t-1 on a typical day, η HYS.in is the hydrogen feeding efficiency of the hydrogen storage tank, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The output power of the hydrogen storage tank at time t on a typical day, is the minimum capacity of the hydrogen storage tank, is the maximum capacity of the hydrogen storage tank, and Δt is the time difference between time t and time t-1.

[0057] In an optional embodiment, the constraints of the electric energy storage include:

[0058]

[0059]

[0060]

[0061]

[0062] in, For the The battery capacity at time t on a typical day, For the The battery capacity at time t-1 on a typical day, For the The power of electrochemical energy storage at time t on a typical day, E max is the electrical energy storage capacity, P dis.max is the maximum discharge power, P cru.maxis the maximum charging power, and Δt is the time difference between time t and time t-1.

[0063] In an optional embodiment, the power balance constraint conditions include:

[0064]

[0065] in, For the The power of photovoltaic power generation at time t on a typical day, For the The power of wind power generation at time t on a typical day, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: For the The power of electrochemical energy storage at time t on a typical day.

[0066] In an optional embodiment, the constraints of system operation include:

[0067]

[0068]

[0069]

[0070]

[0071] in, For the The battery capacity at time t on a typical day, SOC min The lower limit of battery charge and discharge capacity, SOC max is the upper limit of the battery charge and discharge capacity, For the The heat storage power at time t on a typical day, P heat.max is the maximum heat storage power, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The output power of the hydrogen storage tank at time t on a typical day, Δt is the time difference between time t and time t-1, The hydrogen demand curve of the chemical plant is determined based on the The hydrogen demand corresponding to time t on a typical day is: The steam demand curve of the chemical plant is determined based on the The steam demand corresponding to time t on a typical day.

[0072] In addition, if the steam is connected to the pipeline, there is no capacity constraint on the heat storage system. If the steam is stored in a fixed capacity heat storage device, the heat storage capacity can be determined by a pre-set heat release discrete model.

[0073] S105, determining the electric energy storage capacity that satisfies the objective function through an optimization algorithm.

[0074] For example, the optimization algorithm can adopt the optimization algorithm in the relevant technology, which will not be described here. The electric energy storage capacity can be determined based on the objective function and the optimization algorithm. In this way, the electric energy storage capacity that can adapt to the actual hydrogen demand and steam demand in the future, can improve the renewable energy consumption rate, ensure the stable operation of the system, power supply reliability, hydrogen production and economy can be calculated, and provide a reference for the construction of the subsequent renewable energy and coal chemical coupling system.

[0075] In the above technical scheme, based on the historical hydrogen and steam data of the chemical plant, the incremental rate of hydrogen demand and the incremental rate of steam demand are determined; based on the incremental rate of hydrogen demand and the planned hydrogen demand curve, a chemical plant hydrogen demand curve with higher reliability can be determined; in the coupled system of renewable energy and coal chemical industry, the required heat can be provided to the hydrogen production system through internal heating, and based on the incremental rate of steam demand, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system, a chemical plant steam demand curve with higher reliability can be determined. In this way, the determined hydrogen demand curve and steam demand curve of the chemical plant can better adapt to the actual hydrogen demand and actual steam demand in the future. An objective function is established with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints for hydrogen storage capacity, electrical energy storage, power balance and system operation, among which the constraints for system operation must meet the hydrogen demand curve and steam demand curve of the chemical plant; the electrical energy storage capacity that meets the objective function is determined through the optimization algorithm. In this way, the renewable energy absorption rate can be improved, the stable operation of the system, power supply reliability, hydrogen production and economical electric energy storage capacity can be ensured, and a reference can be provided for the subsequent construction of renewable energy and coal chemical coupling systems.

[0076] Figure 2 FIG. 1 is a flow chart of a method for determining the energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure. Figure 2 As shown, the method may further include S106 to S108.

[0077] S106, determining a hydrogen production power curve, a heating power curve, a photovoltaic maximum output power curve, and a wind power maximum output power curve.

[0078] For example, the hydrogen production power curve can be determined based on the parameters of the hydrogen production equipment and the historical data of hydrogen and steam used in the chemical plant, and the heating power curve can be determined based on the parameters of the heating equipment and the historical data of hydrogen and steam used in the chemical plant. The photovoltaic maximum output power curve and the wind power maximum output power curve can be determined based on the historical power generation data of renewable energy.

[0079] S107, determining the maximum energy storage power demand based on the hydrogen production power curve, the heating power curve, the photovoltaic maximum output power curve and the wind power maximum output power curve.

[0080] For example, the maximum energy storage power demand P is determined by the following formula: bess.max :

[0081]

[0082] in, The first The maximum photovoltaic output power on a typical day is The first The maximum wind power output on a typical day is: is determined according to the hydrogen production power curve Hydrogen production power per typical day, The first Thermal storage power for a typical day.

[0083] S108: Determine the energy storage installed power according to the maximum energy storage power demand.

[0084] In an optional embodiment, determining the energy storage installed power according to the maximum energy storage power demand may include:

[0085] According to the predetermined corresponding relationship between power and utilization rate, the power corresponding to the maximum utilization rate is determined as the energy storage installed power.

[0086] For example, the correspondence between power and utilization can be preset by test results, and the correspondence can be represented by functions, mapping tables, etc. When the maximum utilization is determined, the power corresponding to the maximum utilization can be determined by querying the correspondence, and used as the energy storage installed power. In this way, the determination of the energy storage installed power can be realized simply and quickly. In this way, the energy storage installed power that can be determined can be adapted to the operating conditions of the renewable energy and coal chemical coupling system to a certain extent.

[0087] In another optional embodiment, determining the energy storage installed power according to the maximum energy storage power demand may include:

[0088] Taking the maximum energy storage power demand as the full load rate benchmark, determine the utilization rate corresponding to different levels of load rate; determine the energy storage installed power based on the load rate power corresponding to the maximum utilization rate.

[0089] For example, the maximum energy storage power demand can be used as a 100% load factor benchmark to determine the number of days x in N years with a load factor of 0-9% (0th level load factor) 0 , the number of days with a load factor of 10-19% (level 1 load factor) x 1 , the number of days with a load factor of 20-29% (second level load factor) x 2 , the number of days with a load factor of 30-39% (Level 3 load factor) x 3 , the number of days with a load factor of 40-49% (Level 4 load factor) x 4 , the number of days with a load factor of 50-59% (level 5 load factor) x 5 , the number of days with a load factor of 60-69% (level 6 load factor) x 6 , the number of days with a load factor of 70-79% (level 7 load factor) x 7 , the number of days with a load factor of 80-89% (level 8 load factor) x 8 , the number of days with a load factor of 90-99% (9th level load factor) x 9 , the number of days with a load factor of 100% (10th level load factor) x 10 The utilization rate corresponding to the i-th level load rate can be determined by the following formula:

[0090]

[0091] in, is the utilization rate corresponding to the i-th level load rate, x i is the number of days in year N when the load rate is at level i. For ease of understanding, the calculation of utilization rates corresponding to different levels of load rates is summarized in Table 1.

[0092] Table 1

[0093]

[0094] In an optional embodiment, determining the energy storage installed power according to the load rate power corresponding to the maximum utilization rate may include:

[0095] According to the maximum utilization rate, determine the target utilization rate;

[0096] According to the predetermined corresponding relationship between power and utilization rate, the power corresponding to the target utilization rate is determined as the energy storage installed power.

[0097] For example, the target utilization rate η can be determined by the following formula:bess :

[0098]

[0099] Where k is the load rate level corresponding to the maximum utilization rate, the value range of k is 0 to i, the value range of m is 0 to k, and η bessm is the utilization rate corresponding to the mth level load rate. If the maximum utilization rate is η bess5 , the target utilization is η bess0 , η bess1 , η bess2 , η bess3 , η bess4 and η bess5 The sum.

[0100] As mentioned above, the correspondence between power and utilization can be preset through test results, and the correspondence can be expressed, for example, by functions, mapping tables, etc. When the target utilization is determined, the power corresponding to the target utilization can be determined by querying the correspondence, and used as the energy storage installed power. In this way, the determined energy storage installed power can be better adapted to the operating conditions of the renewable energy and coal chemical coupling system.

[0101] Figure 3 is a flow chart of a method for determining energy storage installed power provided by an exemplary embodiment of the present disclosure. Figure 3 , the implementation process of the method for determining the energy storage installed power provided by the present disclosure can be more clearly understood. Figure 3 As shown, the method may include S1081 to S1083.

[0102] S1081, taking the maximum energy storage power demand as the full load rate benchmark, determine the utilization rate corresponding to different levels of load rate.

[0103] S1082, determining a target utilization rate according to the maximum utilization rate, wherein the target utilization rate is the sum of utilization rates corresponding to multiple levels of load rates determined based on the maximum utilization rate.

[0104] S1083: According to a predetermined correspondence between power and utilization, the power corresponding to the target utilization is determined as the energy storage installed power.

[0105] The specific implementation method is described in detail in the embodiment of the method above, and will not be elaborated here. In this way, the installed power of the energy storage system can be determined by selecting the corresponding utilization rate of the installed power according to the maximum energy storage power demand, so that the determined installed power of the energy storage system can better adapt to the operating conditions of the renewable energy and coal chemical coupling system.

[0106] Based on the same inventive concept, the present disclosure also provides a device for determining the energy storage capacity of a renewable energy and coal chemical coupling system. Figure 4 FIG. 3 is a block diagram of an energy storage capacity determination device 300 for a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure. Figure 4 , the energy storage capacity determination device 300 may include:

[0107] The first determination module 301 is used to determine the hydrogen demand increment rate and the steam demand increment rate according to the historical hydrogen and steam consumption data of the chemical plant;

[0108] A second determination module 302 is used to determine a hydrogen demand curve for a chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve;

[0109] The third determination module 303 is used to determine the steam demand curve of the chemical plant according to the steam demand increment rate, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system;

[0110] A construction module 304 is used to establish an objective function with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints for hydrogen storage capacity, electrical energy storage, power balance and system operation, wherein the constraints for the system operation must satisfy the hydrogen demand curve of the chemical plant and the steam demand curve of the chemical plant;

[0111] The fourth determination module 305 determines the electric energy storage capacity that satisfies the objective function through an optimization algorithm.

[0112] In this way, the determined chemical plant hydrogen demand curve and chemical plant steam demand curve can better adapt to the actual future hydrogen demand and actual steam demand. In addition, it can improve the renewable energy consumption rate, ensure the stable operation of the system, power supply reliability, hydrogen production and economical electric energy storage capacity, and provide a reference for the subsequent construction of renewable energy and coal chemical coupling system.

[0113] Optionally, the second determination module 302 is used to determine the hydrogen demand curve of the chemical plant by the following formula:

[0114] HyD=(1+f hy )·Hy demand

[0115] Wherein, HyD is the hydrogen demand curve of the chemical plant, f hy is the incremental rate of hydrogen demand, Hy demand is the planned hydrogen demand curve.

[0116] Optionally, the third determination module 303 is used to determine the steam demand curve of the chemical plant by the following formula:

[0117] HaD=(1+f ha )·Heat demand +Heat gy

[0118] Where HaD is the steam demand curve of the chemical plant, f ha is the steam demand increment rate, Heat demand For the planned steam demand curve, Heat hy is the heat energy demand curve of the hydrogen production system.

[0119] Optionally, renewable energy power generation includes photovoltaic power generation and wind power generation, and the construction module 304 is used to construct the objective function Min(P loss ):

[0120]

[0121] in, For the The maximum photovoltaic output power on a typical day is For the The maximum wind power output on a typical day is: For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: No. The power of electrochemical energy storage at time t on a typical day.

[0122] Optionally, the constraint conditions of the hydrogen storage capacity in the construction module 304 include:

[0123]

[0124]

[0125] in, For the The remaining capacity of the hydrogen storage tank at time t on a typical day, For the The remaining capacity of the hydrogen storage tank at time t-1 on a typical day, η HYS.in is the hydrogen feeding efficiency of the hydrogen storage tank, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The output power of the hydrogen storage tank at time t on a typical day, is the minimum capacity of the hydrogen storage tank, is the maximum capacity of the hydrogen storage tank, and Δt is the time difference between time t and time t-1.

[0126] Optionally, the constraints of the electric energy storage in the construction module 304 include:

[0127]

[0128]

[0129]

[0130]

[0131] in, For the The battery capacity at time t on a typical day, For the The battery capacity at time t-1 on a typical day, For the The power of electrochemical energy storage at time t on a typical day, E max is the electrical energy storage capacity, P dis.max is the maximum discharge power, P chr.max is the maximum charging power, and Δt is the time difference between time t and time t-1.

[0132] Optionally, the power balance constraint in the building module 304 includes:

[0133]

[0134] in, For the The power of photovoltaic power generation at time t on a typical day, For the The power of wind power generation at time t on a typical day, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: For the The power of electrochemical energy storage at time t on a typical day.

[0135] Optionally, the constraints of the system operation in the construction module 304 include:

[0136]

[0137]

[0138]

[0139]

[0140] in, For the The battery capacity at time t on a typical day, SOC min The lower limit of battery charge and discharge capacity, SOC max is the upper limit of the battery charge and discharge capacity, For the The heat storage power at time t on a typical day, P heat.max is the maximum heat storage power, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The output power of the hydrogen storage tank at time t on a typical day, Δt is the time difference between time t and time t-1, The hydrogen demand curve of the chemical plant is determined based on the The hydrogen demand corresponding to time t on a typical day is: The steam demand curve of the chemical plant is determined based on the The steam demand corresponding to time t on a typical day.

[0141] Optionally, the device 300 further includes:

[0142] A fifth determination module is used to determine a hydrogen production power curve, a heating power curve, a photovoltaic maximum output power curve, and a wind power maximum output power curve;

[0143] a sixth determination module, configured to determine a maximum energy storage power demand based on the hydrogen production power curve, the heating power curve, the photovoltaic maximum output power curve, and the wind power maximum output power curve;

[0144] The seventh determination module is used to determine the energy storage installed power according to the maximum energy storage power demand.

[0145] Optionally, the sixth determination module is used to determine the maximum energy storage power requirement P by the following formula: bess.max :

[0146]

[0147] in, The first power factor determined based on the photovoltaic maximum output power curve The maximum photovoltaic output power on a typical day is is the first power curve determined based on the wind power maximum output power curve The maximum wind power output on a typical day is: is the first Hydrogen production power per typical day, is the first Thermal storage power for a typical day.

[0148] Optionally, the seventh determining module includes:

[0149] The first determination submodule is used to determine the utilization rate corresponding to different levels of load rate by taking the maximum energy storage power demand as the full load rate benchmark;

[0150] The second determination submodule is used to determine the energy storage installed power according to the load rate power corresponding to the maximum utilization rate.

[0151] Optionally, the first determining submodule is used to determine the utilization rate corresponding to the i-th level load rate by using the following formula:

[0152]

[0153] in, is the utilization rate corresponding to the i-th level load rate, x i is the number of days in year N when the load rate is at the i-th level.

[0154] Optionally, the second determining submodule includes:

[0155] A third determination submodule is used to determine a target utilization rate according to the maximum utilization rate;

[0156] The fourth determination submodule is used to determine the power corresponding to the target utilization rate as the energy storage installed power according to a predetermined correspondence between power and utilization rate.

[0157] Optionally, the third determination submodule is used to determine the target utilization rate η by the following formula: bess :

[0158]

[0159] Where k is the load rate level corresponding to the maximum utilization rate, the value range of k is 0 to i, the value range of m is 0 to k, and η bessm is the utilization rate corresponding to the mth level load rate.

[0160] Optionally, the seventh determining module includes:

[0161] The fifth determination submodule is used to determine the power corresponding to the maximum utilization rate as the energy storage installed power according to a predetermined correspondence between power and utilization rate.

[0162] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0163] Figure 5 FIG. 7 is a block diagram of an electronic device 700 for determining energy storage capacity of a renewable energy and coal chemical coupling system provided by an exemplary embodiment of the present disclosure. Figure 5 As shown, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.

[0164] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned energy storage capacity determination method. The memory 702 is used to store various types of data to support the operation of the electronic device 700, and these data may include, for example, instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0165] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned energy storage capacity determination method.

[0166] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned energy storage capacity determination method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned energy storage capacity determination method.

[0167] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program that can be executed by a programmable device. The computer program has a code portion for executing the above energy storage capacity determination method when executed by the programmable device.

[0168] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0169] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0170] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A method for determining the energy storage capacity of a renewable energy and coal chemical coupling system, characterized in that: include: Determine the incremental rate of hydrogen demand and steam demand based on the historical hydrogen and steam consumption data of the chemical plant; Determining a hydrogen demand curve for a chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve; Determining a steam demand curve for the chemical plant according to the steam demand increment rate, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system; An objective function is established with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints on hydrogen storage capacity, electrical energy storage, power balance and system operation, wherein the constraints on the system operation must satisfy the hydrogen demand curve of the chemical plant and the steam demand curve of the chemical plant; The electric energy storage capacity that satisfies the objective function is determined through an optimization algorithm.

2. The method for determining energy storage capacity according to claim 1, characterized in that: Determining the hydrogen demand curve of the chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve includes: The hydrogen demand curve of the chemical plant is determined by the following formula: HyD=(1+f hy )·Hy demand Wherein, HyD is the hydrogen demand curve of the chemical plant, f hy is the incremental rate of hydrogen demand, Hy demand is the planned hydrogen demand curve.

3. The method for determining energy storage capacity according to claim 1, characterized in that: Determining the steam demand curve of the chemical plant according to the steam demand increment rate, the planned steam demand curve and the heat energy demand curve of the hydrogen production system includes: The steam demand curve of the chemical plant is determined by the following formula: HaD=(1+f ha )·Heat demand +Heat hy Where HaD is the steam demand curve of the chemical plant, f ha is the steam demand increment rate, Heat demand For the planned steam demand curve, Heat hy is the heat energy demand curve of the hydrogen production system.

4. The method for determining energy storage capacity according to claim 1, characterized in that: Renewable energy generation includes photovoltaic power generation and wind power generation. The objective function Min(P loss ): in, For the The maximum photovoltaic output power on a typical day is For the The maximum wind power output on a typical day is: For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: No. The power of electrochemical energy storage at time t on a typical day.

5. The method for determining energy storage capacity according to claim 1, characterized in that: The constraints of the hydrogen storage capacity include: in, For the The remaining capacity of the hydrogen storage tank at time t on a typical day, For the The remaining capacity of the hydrogen storage tank at time t-1 on a typical day, η HYe.in is the hydrogen feeding efficiency of the hydrogen storage tank, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The output power of the hydrogen storage tank at time t on a typical day, is the minimum capacity of the hydrogen storage tank, is the maximum capacity of the hydrogen storage tank, and Δt is the time difference between time t and time t-1.

6. The method for determining energy storage capacity according to claim 1, characterized in that: The constraints of the electric energy storage include: in, For the The battery capacity at time t on a typical day, For the The battery capacity at time t-1 on a typical day, For the The power of electrochemical energy storage at time t on a typical day, E max is the electrical energy storage capacity, P dis.max is the maximum discharge power, P chr.max is the maximum charging power, and Δt is the time difference between time t and time t-1.

7. The method for determining energy storage capacity according to claim 1, characterized in that: Renewable energy generation includes photovoltaic power generation and wind power generation. The power balance constraints include: in, For the The power of photovoltaic power generation at time t on a typical day, For the The power of wind power generation at time t on a typical day, For the The hydrogen production power of the electrolyzer at time t on a typical day, For the The heat storage power at time t on a typical day is: For the The power of electrochemical energy storage at time t on a typical day.

8. The method for determining energy storage capacity according to claim 1, characterized in that: The constraints for the operation of the system include: in, For the The battery capacity at time t on a typical day, SOC min The lower limit of battery charge and discharge capacity, SOC max is the upper limit of the battery charge and discharge capacity, For the The heat storage power at time t on a typical day, P heat.max is the maximum heat storage power, η HYS.out is the hydrogen discharge efficiency of the hydrogen storage tank, For the The output power of the hydrogen storage tank at time t on a typical day, Δt is the time difference between time t and time t-1, The hydrogen demand curve of the chemical plant is determined based on the The hydrogen demand corresponding to time t on a typical day is: The steam demand curve of the chemical plant is determined based on the The steam demand corresponding to time t on a typical day.

9. The method for determining energy storage capacity according to claim 1, characterized in that: Renewable energy generation includes photovoltaic power generation and wind power generation, and the method further includes: Determine the hydrogen production power curve, heating power curve, photovoltaic maximum output power curve and wind power maximum output power curve; Determining a maximum energy storage power demand based on the hydrogen production power curve, the heating power curve, the photovoltaic maximum output power curve, and the wind power maximum output power curve; The energy storage installed power is determined according to the maximum energy storage power demand.

10. The method for determining energy storage capacity according to claim 9, characterized in that: The determining the maximum energy storage power demand based on the hydrogen production power curve, the heating power curve, the photovoltaic maximum output power curve and the wind power maximum output power curve includes: The maximum energy storage power demand P is determined by the following formula bess.max : in, is the first power curve determined based on the photovoltaic maximum output power curve The maximum photovoltaic output power on a typical day is is the first power curve determined based on the wind power maximum output power curve The maximum wind power output on a typical day is: is the first Hydrogen production power per typical day, is the first Thermal storage power for a typical day.

11. The method for determining energy storage capacity according to claim 9, characterized in that: The step of determining the energy storage installed power according to the maximum energy storage power demand includes: Taking the maximum energy storage power demand as the full load rate benchmark, determine the utilization rate corresponding to different levels of load rate; Determine the energy storage installed capacity based on the load rate power corresponding to the maximum utilization rate.

12. The method for determining energy storage capacity according to claim 11, characterized in that: The determining of utilization rates corresponding to different levels of load rates includes: The utilization rate corresponding to the i-th level load rate is determined by the following formula: in, is the utilization rate corresponding to the i-th level load rate, x i is the number of days in year N when the load rate is at the i-th level.

13. The method for determining energy storage capacity according to claim 12, characterized in that: Determining the energy storage installed power according to the load rate power corresponding to the maximum utilization rate includes: Determining a target utilization rate according to the maximum utilization rate; According to a predetermined correspondence between power and utilization rate, the power corresponding to the target utilization rate is determined as the energy storage installed power.

14. The method for determining energy storage capacity according to claim 13, characterized in that: The step of determining a target utilization rate according to the maximum utilization rate includes: The target utilization rate η is determined by the following formula bess : Among them, k is the load rate level corresponding to the maximum utilization rate, the value range of k is 0 to i, and the value range of m is 0 to k. is the utilization rate corresponding to the mth level load rate.

15. The method for determining energy storage capacity according to claim 9, characterized in that: The step of determining the energy storage installed power according to the maximum energy storage power demand includes: According to a predetermined correspondence between power and utilization rate, the power corresponding to the maximum utilization rate is determined as the energy storage installed power.

16. A device for determining energy storage capacity of a renewable energy and coal chemical coupling system, characterized in that: include: The first determination module is used to determine the hydrogen demand increment rate and the steam demand increment rate according to the historical hydrogen and steam consumption data of the chemical plant; A second determination module is used to determine the hydrogen demand curve of the chemical plant according to the hydrogen demand increment rate and the planned hydrogen demand curve; A third determination module is used to determine the steam demand curve of the chemical plant according to the steam demand increment rate, the planned steam demand curve and the thermal energy demand curve of the hydrogen production system; A construction module is used to establish an objective function with the goal of maximizing the renewable energy consumption rate, and the objective function has constraints on hydrogen storage capacity, electrical energy storage, power balance and system operation, wherein the constraints on the system operation need to satisfy the hydrogen demand curve of the chemical plant and the steam demand curve of the chemical plant; The fourth determination module determines the electric energy storage capacity that satisfies the objective function through an optimization algorithm.

17. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 15 are implemented.

18. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 15.

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