Power distribution method and device for synthetic ammonia project and electronic equipment

Abstract

The invention discloses a power distribution method and device for a synthetic ammonia project and electronic equipment, and relates to the technical field of power distribution and dispatching control of power utilization of industrial projects. The method comprises the following steps: determining the future generating capacity of a candidate region according to the actual generating type, future meteorological characteristics and equipment operation state of generating equipment of the candidate region in a future time window and a pre-constructed generating capacity prediction model; based on the future time window, the rated capacity of the synthesis ammonia equipment, the synthesis ammonia comprehensive unit power consumption and a preset candidate load rate set, determining the synthesis ammonia power demand corresponding to each candidate load rate; and according to the synthesis ammonia power demand, the preset power source priority, the power grid operation constraint and the equipment operation constraint, distributing the future generating capacity to obtain a target power distribution result. According to the technical scheme, the feasibility and the stability of the power distribution scheme are improved, so that the power distribution result better fits the actual power generation capacity and the power utilization demand.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of power distribution, in particular to the technical field of power distribution and dispatching control for industrial project electricity, and specifically to a power distribution method, device and electronic equipment for a synthetic ammonia project. BACKGROUND

[0002] With the development of synthetic ammonia projects towards scale, regionalization and multi-energy collaboration, it is necessary to realize the reasonable distribution of synthetic ammonia device electricity in multiple candidate power generation regions, multiple types of power generation resources and complex operation constraints during project operation, which puts forward higher requirements for the predictability and executability of the power distribution scheme.

[0003] The existing power distribution scheme of the synthetic ammonia project is usually based on historical experience or static parameters, and the power generation side and the electricity consumption side are simply matched, or the available power is distributed within a single region according to current or short-term statistical data, lacking systematic consideration of the differences in future power generation capacity of different candidate regions and the changes in synthetic ammonia electricity demand.

[0004] Therefore, in the process of power distribution of the synthetic ammonia project, the existing technical scheme is difficult to form a power distribution result matched with the actual operation state in the face of multiple candidate power generation regions and complex operation conditions, resulting in the problem of insufficient feasibility and poor stability of the obtained distribution scheme in actual execution. SUMMARY

[0005] The present application provides a power distribution method, device and electronic equipment for a synthetic ammonia project, which improves the feasibility and stability of the power distribution scheme, and makes the power distribution result more suitable for the actual power generation capacity and electricity demand.

[0006] According to an aspect of the present application, a power distribution method for a synthetic ammonia project is provided, comprising:

[0007] determining the future power generation capacity of the candidate region according to the actual power generation type of the candidate region in the future time window, the future meteorological characteristics, the equipment operation state of the power generation equipment and the pre-constructed power generation capacity prediction model;

[0008] determining the synthetic ammonia electricity demand corresponding to each candidate load rate based on the future time window, the rated capacity of the synthetic ammonia equipment, the synthetic ammonia comprehensive unit power consumption and the pre-set candidate load rate set;

[0009] distributing the future power generation capacity according to the synthetic ammonia electricity demand, the pre-set power source priority, the power grid operation constraint and the equipment operation constraint, to obtain a target power distribution result.

[0010] According to another aspect of the present application, there is provided an electric power distribution device for a synthetic ammonia project, comprising:

[0011] a future power generation amount determination module configured to determine a future power generation amount of the candidate region according to an actual power generation type of the candidate region, future meteorological features, a device operation state of a power generation device, and a pre-constructed power generation amount prediction model within a future time window;

[0012] a synthetic ammonia electricity demand determination module configured to determine a synthetic ammonia electricity demand corresponding to each candidate load rate based on the future time window, a rated production capacity of a synthetic ammonia device, a synthetic ammonia comprehensive unit electricity consumption, and a preset candidate load rate set;

[0013] a target electric power distribution result determination module configured to distribute the future power generation amount according to the synthetic ammonia electricity demand, a preset electric power source priority, a power grid operation constraint, and a device operation constraint, to obtain a target electric power distribution result.

[0014] According to another aspect of the present application, there is provided an electronic device, comprising:

[0015] at least one processor; and

[0016] a memory in communication connection with the at least one processor; wherein

[0017] the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the electric power distribution method for a synthetic ammonia project according to any one of the embodiments of the present application.

[0018] According to another aspect of the present application, there is provided a computer readable storage medium storing computer instructions for enabling a processor to implement the electric power distribution method for a synthetic ammonia project according to any one of the embodiments of the present application when executed by the processor.

[0019] According to another aspect of the present application, there is provided a computer program product comprising a computer program, the computer program being configured to implement any one of the electric power distribution methods for a synthetic ammonia project according to the embodiments of the present application when executed by a processor.

[0020] The technical scheme of the embodiment of the present application predicts the future power generation by comprehensively considering the new energy power generation type, meteorological characteristics and equipment operation state corresponding to the candidate area in the future time window, and determines the electricity demand of the synthetic ammonia project in combination with the rated capacity of the synthetic ammonia equipment and the unit power consumption, allocates the future power generation under the constraints of power grid operation and equipment operation, and generates a target power distribution result matched with the actual operation condition, thereby improving the feasibility, stability and consistency with the actual operation condition of the power distribution scheme.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is a flowchart of a power distribution method for a synthetic ammonia project according to an embodiment of the present application;

[0023] Figure 2 is a flowchart of another power distribution method for a synthetic ammonia project according to an embodiment of the present application;

[0024] Figure 3 is a structural schematic diagram of a power distribution device for a synthetic ammonia project according to an embodiment of the present application;

[0025] Figure 4 is a structural schematic diagram of an electronic device for implementing the power distribution method for a synthetic ammonia project according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order for those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0028] Embodiment one

[0029] Figure 1 is a flowchart of a power distribution method for a synthetic ammonia project according to Embodiment One of the present application. This embodiment can be applied to the power distribution scenario of multiple candidate power generation areas participating in power supply in a synthetic ammonia project. The method can be executed by a power distribution device for a synthetic ammonia project, which can be realized in the form of hardware and / or software, and can be configured in a computer device. As shown in Figure 1 , the method comprises:

[0030] S101, determining the future power generation of the candidate area according to the actual power generation type of the candidate area in the future time window, the future meteorological characteristics, the device operating state of the power generation device and the pre-constructed power generation prediction model.

[0031] In this embodiment, the future time window refers to the target time range for power distribution planning and decision-making, which is used to define the time boundary of power generation prediction. The candidate area refers to the power generation area participating in the power supply of the synthetic ammonia project, having power generation capacity and being included in the power distribution. The actual power generation type refers to the power generation method corresponding to the new energy power generation device configured in the candidate area, which is used to represent the differences in output characteristics and response to meteorological conditions of different new energy power generation methods, including but not limited to wind power generation and photovoltaic power generation. The future meteorological characteristics refer to the meteorological state information corresponding to the future time window, which is used to reflect the influence of environmental changes on the power generation capacity. The device operating state refers to the operable state information of the power generation device in the future time window, which is used to represent whether the device has sustained power generation capacity and its available state information. The power generation prediction model refers to a model pre-constructed based on historical data and operating characteristics and used to estimate future power generation capacity, which is used to output the power generation results of the candidate area in the future time window. The future power generation refers to the total power that each candidate power generation area can provide in the future time window, which is used as the basis data for distribution calculation.

[0032] Specifically, in the power allocation process of the synthetic ammonia project, for candidate areas participating in power supply, based on the actual power generation type of the corresponding new energy power generation, future meteorological characteristics, and the equipment operating status of the power generation equipment within a future time window, a pre-built power generation prediction model is invoked to determine the power generation of each candidate area within the future time window. This allows for obtaining power generation capacity information for each candidate area within that time range before power allocation, providing fundamental data for subsequent power allocation. This method enables the acquisition of future power generation data for each candidate power generation area in advance, allowing the power allocation plan to be arranged based on predictable power generation, improving the consistency and stability of the allocation results with actual operating conditions.

[0033] S102. Based on the future time window, the rated capacity of the ammonia synthesis equipment, the comprehensive unit power consumption of ammonia synthesis, and the preset candidate load rate set, determine the ammonia synthesis power demand corresponding to each candidate load rate.

[0034] In this embodiment, the rated capacity of the ammonia synthesis equipment refers to the maximum production capacity of the ammonia synthesis production unit under standard operating conditions, used to limit the theoretical upper limit of the equipment's power consumption. The comprehensive unit power consumption for ammonia synthesis refers to the total electrical energy consumed to produce a unit quantity of ammonia, used to convert production capacity into corresponding power demand. The preset candidate load rate set refers to several pre-defined load operating ratios, used to represent different operating states of the ammonia synthesis equipment. The ammonia power demand refers to the corresponding power demand calculated based on the rated capacity and unit power consumption at each candidate load rate, used to provide a power consumption reference for subsequent power allocation.

[0035] Specifically, for candidate areas participating in power supply, within a future time window, based on the rated capacity of ammonia synthesis equipment, comprehensive unit power consumption, and a preset set of candidate load rates, the electricity demand for ammonia synthesis under each candidate load rate is calculated according to the correspondence between candidate load rates and equipment capacity. This obtains information on the electricity consumption of ammonia synthesis under different load rate conditions, providing electricity demand data for subsequent power allocation. This method clearly defines the electricity demand corresponding to each candidate load rate, enabling power allocation schemes to be arranged based on the electricity demand under different equipment load intensities, improving the consistency and feasibility of allocation results with equipment operating capacity.

[0036] S103. Based on the electricity demand for synthetic ammonia, the preset power source priority, grid operation constraints, and equipment operation constraints, the future power generation is allocated to obtain the target power allocation result.

[0037] In the embodiment, the power source priority refers to the order of different power sources in the distribution sequence or priority degree set according to planning, which is used to determine the distribution order of each source in the case of limited power or distribution conflict. The grid operation constraint refers to the grid stability and safety conditions that must be met in the power distribution process, including but not limited to voltage, power and load operation limits, which are used to ensure that the distribution scheme does not violate the grid operation safety requirements. The device operation constraint refers to the operation limit conditions of the power generation device and the power consumption device that must be met in the power distribution process, including start-stop state or output range, which is used to ensure that the distribution scheme is executed within the capacity range of the device. The target power distribution result refers to the final power distribution scheme based on the power generation capacity of each candidate region and different load rates under the conditions of meeting the above power consumption demand, power source priority and constraint conditions, which is used to guide the actual power dispatching.

[0038] Specifically, for the candidate power generation region participating in power supply, the future power generation capacity is distributed based on the power consumption demand of each candidate region and the candidate load rate corresponding to the synthetic ammonia equipment, the preset power source priority, and the grid operation constraint and the device operation constraint in the future time window, to obtain the target power distribution result, so as to determine the power distribution scheme of each candidate region under different load rate conditions, and provide basic data for subsequent actual power dispatching. The above-mentioned method can obtain the target power distribution scheme under the conditions of meeting the power consumption demand, the grid operation constraint and the device operation constraint, so that the power distribution scheme can be used as a reference for actual dispatching, and the executability and stability of the scheme are improved.

[0039] The technical scheme of the embodiment of the application predicts the future power generation capacity by comprehensively considering the new energy power generation type, meteorological characteristics and device operation state corresponding to the candidate region in the future time window, and determines the power consumption demand of the synthetic ammonia project in combination with the rated capacity and unit power consumption of the synthetic ammonia equipment, and distributes the future power generation capacity under the grid operation constraint and the device operation constraint, thereby generating a target power distribution result matched with the actual operation condition, and improving the feasibility, stability and consistency with the actual operation condition of the power distribution scheme.

[0040] Embodiment two

[0041] Figure 2 is a flowchart of another power distribution method for a synthetic ammonia project according to the embodiment two of the application. The technical scheme of the embodiment further refines the power distribution method based on the technical scheme of the above-mentioned embodiment. As shown in Figure 2 , the method comprises:

[0042] S201, determining the future power generation capacity of the candidate region according to the actual power generation type of the candidate region in the future time window, the future meteorological characteristics, the device operation state of the power generation device and the pre-constructed power generation capacity prediction model.

[0043] S202, determine the synthetic ammonia electricity demand corresponding to each candidate load rate based on the future time window, the rated capacity of the synthetic ammonia equipment, the synthetic ammonia comprehensive unit power consumption, and the set of preset candidate load rates.

[0044] S203, obtain a target load rate associated with the synthetic ammonia electricity demand.

[0045] S204, for the target load rate, perform power allocation according to a preset power source priority to obtain an initial power allocation result.

[0046] The power source priority is the priority of the north zone power, the south zone power, and the grid-connected power in turn.

[0047] S205, perform feasibility check on the initial power allocation result according to the grid operation constraint and the equipment operation constraint to obtain a feasibility check result.

[0048] S206, if the feasibility check result does not pass, perform secondary allocation adjustment on the initial power allocation result based on a preset adjustment strategy to obtain a target power allocation result.

[0049] The target power allocation result includes the north zone power allocation result, the south zone power allocation result, and the grid-connected power allocation result; the target power allocation result is used to meet the electricity demand of the synthetic ammonia production device; the synthetic ammonia production device includes at least one of the electrolytic hydrogen production device, the air separation device, and the synthesis reaction device.

[0050] In this embodiment, the target load rate refers to a specific load operation ratio corresponding to the electricity demand of the synthetic ammonia equipment, which is used to determine the electricity demand level of each device or device group in the power allocation process. The initial power allocation result refers to the initial generation of each candidate regional power allocation scheme under the premise of considering the target load rate and the power source priority, which is used as the input of the feasibility check. The feasibility check result refers to the evaluation result after checking the grid operation constraint and the equipment operation constraint on the initial power allocation result, which is used to judge whether the allocation scheme meets the safety and operation requirements. The preset adjustment strategy refers to the method of adjusting the allocation scheme according to the rules or algorithms when the initial allocation scheme does not meet the constraints, which is used to generate the final allocation result that meets the constraint conditions. The target power allocation result refers to the final power allocation scheme that meets the electricity demand of the synthetic ammonia and meets the grid and equipment operation constraints after feasibility check and necessary adjustment, including the north zone power allocation result, the south zone power allocation result, and the grid-connected power allocation result, which is used to guide the actual dispatching and operation. The synthetic ammonia production device refers to the equipment involved in the synthetic ammonia project production process, including but not limited to the electrolytic hydrogen production device, the air separation device, and the synthesis reaction device, which is used to complete the synthetic ammonia production process and corresponds to a specific electricity demand.

[0051] Specifically, in the power distribution stage, a target load rate corresponding to the power demand of the synthetic ammonia is obtained, and for each target load rate, the future power generation of each candidate region is initially distributed according to a preset power source priority, to obtain an initial power distribution result, thereby providing a basic scheme for subsequent feasibility checking; the initial power distribution result is checked for feasibility according to the power grid operation constraints and the equipment operation constraints, to obtain a feasibility checking result, and in the case that the checking fails, the initial distribution result is adjusted again based on a preset adjustment strategy, to obtain a target power distribution result. The target power distribution result includes a north zone power distribution result, a south zone power distribution result and a grid-connected power distribution result, and is used to meet the power demand of the synthetic ammonia production device. The above-mentioned method can ensure that the finally generated target power distribution scheme takes into account the power generation capacity of each candidate region, the power demand and various constraint conditions, improve the executability and adaptability of the power distribution scheme, and make the distribution result meet the actual operation conditions.

[0052] The technical scheme of the embodiment further refines the power distribution method based on the above-mentioned embodiment, and initially distributes the power demand of the synthetic ammonia equipment corresponding to the target load rate of the candidate region by combining the future power generation of the candidate region and the preset power source priority, so that the power distribution scheme can meet the business relationship and the priority order requirement of each power source; the initial distribution result is checked for power grid operation constraints and equipment operation constraints, and is adjusted again in the case that the constraints are not met, thereby ensuring that the final target power distribution scheme meets the power demand of the synthetic ammonia equipment and meets the operation conditions of the power grid and the equipment. The above-mentioned method realizes the executability, stability and consistency with the actual operation conditions of the power distribution scheme by combining distribution and checking, and improves the applicability and reliability of the scheme in actual production scheduling.

[0053] In an optional implementation, the future power generation of the candidate region is determined according to the actual power generation type of the candidate region in a future time window, future meteorological characteristics, an equipment operation state of a power generation device and a pre-constructed power generation prediction model, including: determining the future meteorological characteristics corresponding to the actual power generation type in the future time window according to the actual power generation type of the candidate region; wherein the actual power generation type is wind power generation or photovoltaic power generation; obtaining the equipment operation state of the power generation device in the candidate region in the future time window, and inputting the future meteorological characteristics and the equipment operation state into the power generation prediction model corresponding to the actual power generation type to obtain the future power generation; wherein when the actual power generation type is wind power generation, the future meteorological characteristics include a wind speed sequence in the future time window; and when the actual power generation type is photovoltaic power generation, the future meteorological characteristics include an irradiance sequence in the future time window.

[0054] Specifically, for the candidate region, the future meteorological features corresponding to the actual power generation type of the candidate region are determined within the future time window, the device operation state of the power generation equipment in the candidate region within the future time window is obtained, the future meteorological features and the device operation state are input into the power generation capacity prediction model corresponding to the actual power generation type, and the future power generation capacity is obtained, wherein the future meteorological features corresponding to the wind power generation type are wind speed sequences, and the future meteorological features corresponding to the photovoltaic power generation type are irradiance sequences, so that the power generation capacity information of each candidate region within the future time range is obtained before power distribution, and basic data is provided for subsequent power distribution. The above-mentioned method predicts the future power generation capacity by using the corresponding meteorological features and calling the corresponding power generation capacity prediction model for different candidate regions of new energy power generation types, so that the future power generation capacity result is more in line with scientific laws and actual operation conditions, and accurate power generation capacity prediction data is provided for subsequent power distribution.

[0055] In an optional embodiment, the initial power distribution result is subjected to feasibility checking according to the power grid operation constraint and the device operation constraint, and a feasibility checking result is obtained, including: determining the key operation index of the initial power distribution result at each time step within the prediction period according to the power grid operation constraint and the device operation constraint; wherein the power grid operation constraint includes at least one of the on-grid power upper limit, the intra-zone power transmission capacity upper limit or the extra-zone power transmission capacity upper limit; the device operation constraint further includes at least one of the load range, the load ramping rate, the continuous operation time length or the start-stop constraint of the synthetic ammonia power consumption device; according to the key operation index, the power grid operation constraint checking and the device operation constraint checking are respectively performed on each time step, and the violation record information is obtained; according to the violation record information, the feasibility checking result is generated; wherein the feasibility checking result is determined by whether there is a violation record: if there is any violation record, it is marked as not passed; if there is no any violation record, it is marked as passed.

[0056] In this embodiment, the key operation index refers to the index parameter used to represent the power grid operation state and the device operation state based on the initial power distribution result at each time step within the future time window, which is used for corresponding checking with the power grid operation constraint and the device operation constraint. The violation record information refers to the record that does not satisfy the constraint generated in the checking process of the power grid operation constraint and the device operation constraint of each time step, which is used to judge the feasibility of the initial power distribution result.

[0057] Specifically, for the obtained initial power distribution result, the power grid operation state and the device operation state corresponding to each time step are analyzed in the future time window according to the preset time step, the key operation index reflecting the distribution state is determined based on the power grid operation constraint and the device operation constraint, and the power grid operation constraint check and the device operation constraint check are performed on each time step according to the key operation index, so as to identify whether there is a condition that does not meet the power grid operation constraint or the device operation constraint and form a violation record information; the feasibility check result is generated according to the violation record information, which is used to indicate whether the initial power distribution result meets the operation requirement. The above-mentioned manner performs constraint check on the power distribution result step by step, so that the distribution scheme that does not meet the power grid or device operation condition can be identified in time, which provides a basis for subsequent adjustment and avoids the unexecutable power distribution scheme entering actual operation.

[0058] In an optional embodiment, the initial power distribution result is adjusted again based on a preset adjustment strategy to obtain a target power distribution result, including: splitting the initial power distribution result according to the candidate region to specific devices that can participate in power distribution adjustment to form a set of adjustable decision variables; wherein the specific devices include at least one of a generator, an energy storage device and a device with start-stop control capability; the set of adjustable decision variables includes at least one of the power generation power, the charge-discharge power and the device start-stop state corresponding to the specific devices; based on the set of adjustable decision variables, an power distribution optimization objective function is constructed, which takes at least one of minimizing the grid purchase power, the power adjustment amplitude or the device start-stop loss as the optimization objective; under the condition of meeting the power grid operation constraint and the device operation constraint, the power distribution optimization objective function is globally optimized by an optimization algorithm to determine the optimized adjustable decision variables; the optimized adjustable decision variables are summarized according to the candidate region to obtain the target power distribution result.

[0059] In the embodiment, the specific device refers to a device unit that has adjustable capacity and can participate in power distribution adjustment in the power distribution process, and is used to execute the power distribution result. The adjustable decision variable set refers to a variable set composed of adjustable parameters corresponding to the specific device, and is used to adjust and solve in the power distribution optimization process. Specifically, the initial power distribution result is split according to the candidate area to the specific device that can participate in power distribution adjustment, and the corresponding adjustable decision variable set is formed based on each specific device; on this basis, a power distribution optimization objective function is constructed to reduce the on-grid power purchase quantity, reduce the power adjustment range or reduce the device start-stop loss, and under the condition of meeting the power grid operation constraint and the device operation constraint, the global optimization of the power distribution optimization objective function is performed through an optimization algorithm to determine the optimized adjustable decision variable; the optimized adjustable decision variable is summarized according to the candidate area to obtain the target power distribution result, so as to realize the fine adjustment and unified output of the power distribution scheme. The above-mentioned method can make the generated power distribution result meet the operation constraint while taking into account the economy and adjustment rationality by refining the power distribution problem to the specific device level and performing global optimization under the constraint condition.

[0060] In an optional embodiment, the method further comprises: based on the target power distribution result, calculating an economic index corresponding to each candidate load rate; wherein the economic index includes synthetic ammonia product revenue, south area on-grid electricity sales revenue, off-grid power purchase cost, and capacity electricity fee, the capacity electricity fee is determined according to the maximum off-grid power and the demand quantity unit price in the prediction period; based on the future time window, constructing a constraint optimization model for the candidate load rate set, and screening a candidate load rate subset with economic benefit higher than a preset threshold from the candidate load rate set; substituting the candidate load rate subset into the comprehensive objective function for solving, and selecting the candidate load rate with the optimal comprehensive objective function value as the target recommended load rate; wherein the comprehensive objective function includes at least one of an economic benefit item, a start-stop penalty item or a load fluctuation penalty item.

[0061] In the embodiment, the economic indicators refer to a set of indicators for quantifying the economic effects corresponding to the power distribution results under different candidate load rates, for supporting the economic evaluation and screening of the load rates. The capacity electricity fee refers to a cost item calculated based on the maximum off-grid power in the future time window and the corresponding demand unit price, for reflecting the cost generated by the capacity occupation of off-grid electricity consumption. The candidate load rate subset refers to a set of load rates that meet the preset economic conditions selected from the candidate load rate set according to the economic indicators, for narrowing the scope of subsequent optimization solving. The constrained optimization model refers to a mathematical model for screening or solving the candidate load rates under the condition of meeting the relevant operation constraints, for ensuring the rationality and feasibility of the screening results. The comprehensive objective function refers to an objective function for comprehensive evaluation of the candidate load rates, and the function value is used to reflect the comprehensive advantages and disadvantages of different candidate load rates in multiple evaluation dimensions. The target recommended load rate refers to the load operation level recommended for the synthetic ammonia project in the future time window, which is selected based on the comprehensive objective function after economic evaluation and constrained optimization calculation of the candidate load rate set. The start-stop penalty term refers to a penalty term for constraining or inhibiting frequent start-stop behavior of equipment in the comprehensive objective function. The load fluctuation penalty term refers to a penalty term for constraining or inhibiting the case of large load change amplitude in the comprehensive objective function.

[0062] Specifically, based on the obtained target power distribution result, the running states corresponding to different candidate load rates in the future time window are analyzed, and the economic indicators under each candidate load rate are calculated. On this basis, a constrained optimization model containing operation constraints is constructed, and a candidate load rate subset with economic benefits meeting the preset requirements is selected from the candidate load rate set. The candidate load rate subset is substituted into the comprehensive objective function for solving, and the economic benefits, equipment start-stop influence and load change are considered comprehensively, and the candidate load rate with the optimal value of the comprehensive objective function is selected as the target recommended load rate, so as to determine the running load level matched with the power distribution result. The above-mentioned method determines the target recommended load rate by first performing economic screening and combining multi-factor comprehensive optimization, so that the determination of the target recommended load rate not only focuses on the economic benefit level, but also considers the operation stability and equipment operation rationality, thereby improving the rationality of the operation decision of the synthetic ammonia project and the overall operation effect.

[0063] Embodiment Three

[0064] Figure 3 is a structural schematic diagram of a power distribution device for a synthetic ammonia project according to Embodiment Three of the present application. The present embodiment can be applied to the power distribution scene of the synthetic ammonia project in which multiple candidate power generation regions participate in power supply. The power distribution device for the synthetic ammonia project can be realized in the form of hardware and / or software, and can be configured in a computer device. As Figure 3As shown, the power distribution device 300 for the synthetic ammonia project comprises:

[0065] a future power generation amount determination module 310, configured to determine a future power generation amount of a candidate region according to an actual power generation type of the candidate region, future meteorological features, a device operation state of a power generation device, and a pre-constructed power generation amount prediction model in a future time window;

[0066] a synthetic ammonia electricity demand determination module 320, configured to determine a synthetic ammonia electricity demand corresponding to each candidate load rate based on the future time window, a rated capacity of a synthetic ammonia device, a synthetic ammonia comprehensive unit electricity consumption, and a preset candidate load rate set;

[0067] a target power distribution result determination module 330, configured to distribute the future power generation amount according to the synthetic ammonia electricity demand, a preset power source priority, a power grid operation constraint, and a device operation constraint, to obtain a target power distribution result.

[0068] In an optional implementation, the future power generation amount determination module 310 is specifically configured to:

[0069] determine future meteorological features corresponding to the actual power generation type in the future time window according to an actual power generation type of the candidate region; wherein the actual power generation type is wind power generation or photovoltaic power generation;

[0070] obtain a device operation state of a power generation device in the candidate region in the future time window, and input the future meteorological features and the device operation state into a power generation amount prediction model corresponding to the actual power generation type, to obtain the future power generation amount; wherein when the actual power generation type is wind power generation, the future meteorological features comprise a wind speed sequence in the future time window; and when the actual power generation type is photovoltaic power generation, the future meteorological features comprise an irradiance sequence in the future time window.

[0071] In an optional implementation, the target power distribution result determination module 330 is specifically configured to:

[0072] obtain a target load rate associated with the synthetic ammonia electricity demand;

[0073] perform power distribution according to a preset power source priority for the target load rate, to obtain an initial power distribution result; wherein the power source priority is a priority between north region power, south region power, and off-grid power, which decreases in turn;

[0074] perform a feasibility check on the initial power distribution result according to a power grid operation constraint and a device operation constraint, to obtain a feasibility check result;

[0075] If the feasibility check result does not pass, the initial power distribution result is secondarily distributed and adjusted based on a preset adjustment strategy to obtain a target power distribution result; wherein the target power distribution result includes a north zone power distribution result, a south zone power distribution result and a grid-connected power distribution result; the target power distribution result is used to meet the power demand of the synthetic ammonia production device; the synthetic ammonia production device includes at least one of an electrolytic hydrogen production device, an air separation device and a synthesis reaction device.

[0076] In an optional implementation, the target power distribution result determination module 330 includes an initial distribution feasibility check module, which is specifically configured to:

[0077] According to the power grid operation constraint and the device operation constraint, determine the key operation indicators of the initial power distribution result at each time step in the prediction period; wherein the power grid operation constraint includes at least one of the upper limit of grid-connected power, the upper limit of in-zone power transmission capacity or the upper limit of out-zone power transmission capacity; the device operation constraint further includes at least one of the load range, the load ramping rate, the continuous operation time length or the start-stop constraint of the synthetic ammonia power consumption device;

[0078] According to the key operation indicators, perform power grid operation constraint check and device operation constraint check on each time step respectively to obtain violation record information;

[0079] According to the violation record information, generate a feasibility check result; wherein the feasibility check result is determined by whether there is a violation record: if there is any violation record, it is marked as not passing; if there is no any violation record, it is marked as passing.

[0080] In an optional implementation, the target power distribution result determination module 330 includes an initial result secondary distribution module, which is specifically configured to:

[0081] Split the initial power distribution result according to the candidate region to the specific device that can participate in power distribution adjustment to form a set of adjustable decision variables; wherein the specific device includes at least one of a power generator, an energy storage device and a device with start-stop control capability; the set of adjustable decision variables includes at least one of the power generation power, the charge-discharge power and the device start-stop state corresponding to the specific device;

[0082] Based on the set of adjustable decision variables, an optimal objective function of power distribution is constructed, which takes at least one of minimizing the grid-connected power purchase amount, the power adjustment amplitude or the device start-stop loss as the optimization objective;

[0083] Under the condition of meeting the power grid operation constraint and the device operation constraint, a global optimization is performed on the power distribution optimization objective function by an optimization algorithm to determine the optimized adjustable decision variable;

[0084] The optimized adjustable decision variable is summarized according to the candidate region to obtain a target power distribution result.

[0085] In an optional implementation, the power distribution device 300 for the synthetic ammonia project further includes a target recommended load rate determination module, which is specifically configured to:

[0086] Based on the target power distribution result, an economic index corresponding to each candidate load rate is calculated, wherein the economic index includes a synthetic ammonia product revenue, a south area on-grid electricity selling revenue, an off-grid electricity purchasing cost, and a capacity electricity fee, and the capacity electricity fee is determined according to the maximum off-grid power and the demand price in the prediction period;

[0087] Based on the future time window, a constraint optimization model is constructed for the candidate load rate set, and a candidate load rate subset with an economic benefit higher than a preset threshold is selected from the candidate load rate set;

[0088] The candidate load rate subset is substituted into a comprehensive objective function for solving, and a candidate load rate with an optimal comprehensive objective function value is selected as a target recommended load rate, wherein the comprehensive objective function includes at least one of an economic benefit item, a start-stop penalty item, or a load fluctuation penalty item.

[0089] The power distribution device for the synthetic ammonia project provided in the embodiments of the present application can execute the power distribution method for the synthetic ammonia project provided in any embodiment of the present application, and has the corresponding function modules and beneficial effects of the execution method.

[0090] The embodiments of the present application further provide an electronic device, a readable storage medium, and a computer program product. The computer program is stored on the computer readable storage medium and is executed by the processor to implement any power distribution method for the synthetic ammonia project of the present application.

[0091] Embodiment Four

[0092] Figure 4 is a structural schematic diagram of an electronic device for implementing the power distribution method for the synthetic ammonia project of the embodiments of the present application, Figure 4A structural diagram of an electronic device 410 that can be used to implement embodiments of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices (e.g., headsets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application described and / or claimed in this document.

[0093] As shown in Figure 4 The electronic device 410 includes at least one processor 411, and a memory, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., connected to the at least one processor 411 in communication, where the memory stores computer programs executable by the at least one processor. The processor 411 can perform various appropriate actions and processes according to the computer programs stored in the read-only memory (ROM) 412 or loaded into the random access memory (RAM) 413 from the storage unit 418. In the RAM 413, various programs and data required for the operation of the electronic device 410 can also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other through a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0094] Various components in the electronic device 410 are connected to the I / O interface 415, including an input unit 416, such as a keyboard, a mouse, etc., an output unit 417, such as various types of displays, speakers, etc., a storage unit 418, such as a magnetic disk, an optical disk, etc., and a communication unit 419, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 419 allows the electronic device 410 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunications networks.

[0095] The processor 411 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 411 performs various methods and processes described above, such as the power allocation method for synthetic ammonia projects.

[0096] In some embodiments, the power allocation method for a synthetic ammonia project can be implemented as a computer program tangibly embodied in a computer readable storage medium, e.g., storage unit 418. In some embodiments, parts or all of the computer program can be loaded and / or installed onto electronic device 410 via, e.g., ROM 412 and / or communication unit 419. When the computer program is loaded onto RAM 413 and executed by processor 411, one or more steps of the power allocation method for a synthetic ammonia project as described above can be performed. Alternatively, in other embodiments, processor 411 can be configured to perform the power allocation method for a synthetic ammonia project by way of other any suitable means, e.g., by way of firmware.

[0097] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, specially designed application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0098] Computer programs implementing methods of the present application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the computer program, when executed, implements the functions / acts specified in the flowcharts and / or block diagrams. The computer program can be executed entirely on a machine, partially on a machine, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0099] In the context of this application, a computer readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer readable storage medium can be a machine readable signal medium. More specific examples of the machine readable storage medium will include a one or more lines of a electrical connection, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0100] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0101] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), blockchain network, and the Internet.

[0102] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0103] It should be understood that the various forms of flow shown above can be reordered, added to, or have steps deleted. For example, the steps described in this application can be performed in parallel, in series, or in a different order, as long as the desired results of the technical solutions of this application can be achieved, and this application does not limit herein.

[0104] The above detailed description does not constitute a limitation on the scope of protection of the present application. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A power distribution method for ammonia synthesis projects, characterized in that, include: The future power generation of the candidate areas is determined based on the actual power generation type, future meteorological characteristics, equipment operation status of power generation equipment, and pre-built power generation prediction models within the future time window. Based on the future time window, the rated capacity of the ammonia synthesis equipment, the comprehensive unit power consumption of ammonia synthesis, and the preset candidate load rate set, the ammonia synthesis power demand corresponding to each candidate load rate is determined. Based on the electricity demand for synthetic ammonia, the preset power source priority, grid operation constraints, and equipment operation constraints, the future power generation is allocated to obtain the target power allocation result.

2. The method according to claim 1, characterized in that, The process of determining the future power generation of candidate areas based on the actual power generation type, future meteorological characteristics, equipment operating status of power generation facilities, and a pre-built power generation prediction model within a future time window includes: Based on the actual power generation type of the candidate area, determine the future meteorological characteristics corresponding to the actual power generation type within a future time window; wherein, the actual power generation type is wind power or photovoltaic power. The system obtains the operating status of power generation equipment in the candidate region within a future time window, and inputs the future meteorological features and the operating status of the equipment into a power generation prediction model corresponding to the actual power generation type to obtain the future power generation. Wherein, when the actual power generation type is wind power generation, the future meteorological features include the wind speed sequence within the future time window; when the actual power generation type is photovoltaic power generation, the future meteorological features include the irradiance sequence within the future time window.

3. The method according to claim 1, characterized in that, The process of allocating future power generation based on the electricity demand for ammonia synthesis, preset power source priorities, grid operation constraints, and equipment operation constraints to obtain a target power allocation result includes: Obtain the target load factor associated with the electricity demand for ammonia synthesis; For the target load rate, power is allocated according to the preset power source priority to obtain the initial power allocation result; wherein, the power source priority is the order of decreasing priority between the power supply in the North Zone, the power supply in the South Zone, and the power supply from the grid. The feasibility of the initial power allocation result is verified based on the power grid operation constraints and equipment operation constraints, and the feasibility verification result is obtained. If the feasibility verification result fails, the initial power allocation result is adjusted a second time based on a preset adjustment strategy to obtain the target power allocation result; wherein, the target power allocation result includes the power allocation result of the North Zone, the power allocation result of the South Zone, and the power allocation result of the downstream grid; the target power allocation result is used to meet the power demand of the ammonia synthesis production unit; the ammonia synthesis production unit includes at least one of an electrolytic hydrogen production unit, an air separation unit, and a synthesis reaction unit.

4. The method according to claim 3, characterized in that, The feasibility verification of the initial power allocation result based on grid operation constraints and equipment operation constraints is performed to obtain the feasibility verification result, including: Based on the power grid operation constraints and the equipment operation constraints, the key operation indicators of the initial power allocation result at each time step within the prediction period are determined; wherein, the power grid operation constraints include at least one of the upper limit of grid-connected power, the upper limit of intra-regional transmission capacity, or the upper limit of inter-regional transmission capacity; the equipment operation constraints also include at least one of the load range, load ramp rate, continuous operating time, or start-stop constraints of the ammonia synthesis equipment. Based on the key operational indicators, power grid operation constraint verification and equipment operation constraint verification are performed at each time step to obtain violation record information. Based on the violation record information, a feasibility verification result is generated; wherein, the feasibility verification result is determined by whether there is a violation record: if any violation record exists, it is marked as failing; if no violation record exists, it is marked as passing.

5. The method according to claim 3, characterized in that, The secondary allocation adjustment of the initial power allocation result based on a preset adjustment strategy to obtain the target power allocation result includes: The initial power allocation results are divided into candidate regions and specific devices that can participate in power allocation regulation to form an adjustable decision variable set; wherein, the specific device includes at least one of generators, energy storage devices, and devices with start-stop control capabilities; the adjustable decision variable set includes at least one of the power generation capacity, charging and discharging capacity, and device start-stop status corresponding to the specific device; Based on the set of adjustable decision variables, a power allocation optimization objective function is constructed with the goal of minimizing at least one of the following: the amount of electricity purchased from the grid, the magnitude of power adjustment, or the equipment start-up and shutdown losses. Under the condition of satisfying the power grid operation constraints and equipment operation constraints, the power allocation optimization objective function is globally optimized through an optimization algorithm to determine the optimized adjustable decision variables; The optimized adjustable decision variables are aggregated according to the candidate regions to obtain the target power allocation result.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: Based on the target power allocation results, the economic indicators corresponding to each candidate load factor are calculated; wherein, the economic indicators include the revenue from synthetic ammonia products, the revenue from selling electricity to the grid in the southern region, the cost of purchasing electricity from the grid, and the capacity charge, wherein the capacity charge is determined based on the maximum power output from the grid and the demand unit price within the forecast period; Based on the future time window, a constrained optimization model is constructed for the candidate load factor set, and a subset of candidate load factors with economic benefits higher than a preset threshold is selected from the candidate load factor set; The candidate load factor subset is substituted into the comprehensive objective function for solution, and the candidate load factor with the optimal comprehensive objective function value is selected as the target recommended load factor; wherein, the comprehensive objective function includes at least one of the following: economic benefit term, start-stop penalty term, or load fluctuation penalty term.

7. A power distribution device for a synthetic ammonia project, characterized in that, include: The future power generation determination module is used to determine the future power generation of candidate areas based on the actual power generation type, future meteorological characteristics, equipment operating status of power generation equipment, and pre-built power generation prediction models within the future time window. The ammonia synthesis electricity demand determination module is used to determine the ammonia synthesis electricity demand corresponding to each candidate load rate based on the future time window, the rated capacity of the ammonia synthesis equipment, the comprehensive unit power consumption of ammonia synthesis, and the preset candidate load rate set. The target power allocation result determination module is used to allocate the future power generation based on the ammonia synthesis power demand, preset power source priority, grid operation constraints and equipment operation constraints, and obtain the target power allocation result.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the power distribution method for a synthetic ammonia project as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the power distribution method for a synthetic ammonia project as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the power distribution method for a synthetic ammonia project according to any one of claims 1-6.

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